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  • please explain these mongo statistics

    - by sivann
    My setup: I have 2 hosts, and 2 shards each. Host1 has 2 shards, and is the master of the replicas host2 has the secondaries of the 2 shards. . host1: shard1 (repset1),shard2 (repset2) host2: shard1 (repset1),shard2 (repset2) There's also a 3rd host that acts as arbitrer. I have 50 threads writing randomly to both shards (using a hash) via mongos with REPLICA_SAFE WriteConcern set on each insert. The questions: mongostat displays about 90% locked for both shards in host1 and about 1% locked on host2. Since I use REPLICA_SAFE which supposedly writes to both servers shouldn't the locks be the same? mongostat reports qr=30 for both shards of host1, and qw=0 always. Since I perform only writes how is this possible? Moreover on host2 all queues are reported 0. Faults are abut the same in all shards/hosts (arround 80). netIn/netOut on the secondaries (host2) are always about 200bytes/sec. Too low. mongos has 53 connections, host1's shards have 71 and 71 and host2's shards have 9 and 8. How is this? Please answer whatever you can. Thanks!

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  • fglrx-legacy-driver not seeing Radeon HD 4650 AGP

    - by Rocket Hazmat
    I am running Debian Squeeze on an old Dell Dimension 8300 box. It has an AGP Radeon HD 4650 card. I use this machine to mine bitcoins, and today I noticed that the machine had rebooted! My precious uptime! Anyway, my miner wouldn't start, so I figured might as well update my graphics driver, maybe that would fix the issue. I went to amd.com and downloaded the newest driver (12.6 legacy), but after installing it, aticonfig gave an error: aticonfig: No supported adapters detected I uninstalled the driver and figured I'd try to install it from apt. AMD has dropped support for the HD 4000 series in fglrx, forcing me to use fglrx-legacy-driver (currently only in experimental). In order to install this, I had to update libc6 (and some other important packages, like gcc), I had to use their wheezy versions. I finally got glrx-legacy-driver installed, but I still got: aticonfig: No supported adapters detected Why isn't the driver finding my video card? I have a hunch it has something to do with the fact that it's an AGP video card. Here is the output of lspci -v (why does it say Kernel driver in use: fglrx_pci?): 01:00.0 VGA compatible controller: Advanced Micro Devices [AMD] nee ATI RV730 Pro AGP [Radeon HD 4600 Series] (prog-if 00 [VGA controller]) Subsystem: Advanced Micro Devices [AMD] nee ATI Device 0028 Flags: bus master, 66MHz, medium devsel, latency 64, IRQ 16 Memory at e0000000 (32-bit, prefetchable) [size=256M] I/O ports at de00 [size=256] Memory at fe9f0000 (32-bit, non-prefetchable) [size=64K] Expansion ROM at fea00000 [disabled] [size=128K] Capabilities: [50] Power Management version 3 Capabilities: [58] AGP version 3.0 Kernel driver in use: fglrx_pci

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  • Grub Installation Failed: Fatal Error ... now what I do?

    - by eklavya
    I know there are some threads that touch this but I feel I have done something uniquely stupid. hence the post and plea for help. I am a beginner @ Linux. So I have a PC with a HDD (hard disk drive) and SSD (solid state drive) It was running Linux Mint /dev/sda1 - HDD Partition 1 - 2 TB (mounted this is /home /dev/sda2 - HDD Partition 2 - 1 TB (separate back up drive, i was backing up files to this) /dev/sdb1 - SSD Partition 1 - 100 GB (OS) /dev/sdb2 - SSD Partition 2 - 20 GB (Swap) The operating system was Linux Mint and was installed on the /dev/sdb1 i.e the solid state drive. I had partitioned off the sda into 2 TB and 1TB and presented the 2 TB as the /home to the OS. Anyway last night I decided to make a return to Ubuntu via the path of Elementary OS. Everything went fine with the install until it stated that GRUB installed failed and this was a Fatal error (no kidding I said). No I am stuck. I have definitely done something wrong and don't know what it is... My biggest pain is the files on the /dev/sda2. I want to save these before I try something drastic like wiping off the /dev/sda completely. So I have the following questions... Can I use a liveCD USB to save these files ? I can see the /dev/sda2 but was unable to access the files in the liveCD last not least ... how do I fix the main issue here. Why could the OS not install GRUB 2b... why is my SSD the /dev/sdb ... and not /dev/sda. Does that have something to do with it that my master boot record sits on the HDD /dev/sda and not /dev/sdb

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  • "Synchronizing" files between local and remote server using Git

    - by ConcreteVitamin
    My intended goal: I maintain some files in my local computer, and I also share them with others by putting them on my website. In the past I did this by manually uploading all the files using FTP, every time I did some modifications etc. Now, I am wondering if I can use Git to help me achieve this (by "pushing" the local files to my website server). My server is hosted by Dreamhost. First Attempt: First, I try this tutorial. I first push my local files to my Github repo, and ssh into my Dreamhost server to clone --bare from the Github repo. But I find that git does not transfer my files. So I ignore the tutorial. Second Attempt: I ssh into my Dreamhost server to clone directly from Github. My files are all transfered to the server. Then, on my local computer, I git remote add dreamhost ssh://[email protected]/~/my-project. Then I add some files, and commit, and git push dreamhost master. And a bunch of errors appears: http://geotakucovi.com/gitError.jpg As a newbie Git user, I must have missed something. Please help!

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  • 5 year old server upgrade

    - by rizzo0917
    I am looking to upgrade a server for a web app. Currently the application is running very sluggish. We've made some adjustments to mysql (that's another issue in itself) and made some adjustments so that heaviest quires get run on a copy of the database on another server was have as a backup, however this will not last that much longer and we are looking to upgrade. Currently the servers CPUs are (4) Intel(R) XEON(TM) CPU 2.00GHz, with 1 gig of ram. The database is 442.5 MiB, with about 1,743,808 records. There are two parts of the program, the one, side a, inserts and updates most of the data. Side b, reads the data and does some minor updates. Currently our biggest day for side a are 800 users (of 40,000 users all year) imputing the system. And our Side b is currently unknown, however we have a total of 1000 clients. The system is most likely going to cap out at 5000 side b clients, with about a year 300,000 side a users. The current database is 5 years old, so we can most likely expect the database to grow pretty rapidly, possibly double each year (which we can most likely archive older records if it comes to that). So with that being said, should we get a server for each side of the app, side a being the master, side b being the slave, any updates made on side b are router to side a. So the question is should i get 2 of these or 1. 2 x Intel Nehalem Xeon E5520 2.26Ghz (8 Cores) 12GB DDRIII Memory 500GB SATAII HDD 100Mbps Port Speed And Naturally I would need to have a redundant backup so it could potentially be 4 of them.

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  • How to keep multiple servers in sync file wise?

    - by GForceSys
    I'm currently managing a cluster of PHP-FPM servers, all of which tend to get out of sync with each other. The application that I'm using on top of the app servers (Magento) allows for admins to modify various files on the system, but now that the site is in a clustered set up modifying a file only modifies it on a single instance (on one of the app servers) of the various machines in the cluster. Is there an open-source application for Linux that may allow me to keep all of these servers in sync? I have no problem with creating a small VM instance that can listen for changes from machines to sync. In theory, the perfect application would have small clients that run on each machine to be synced, which would talk to the master server which would then decide how/what to sync from each machine. I have already examined the possibilities of running a centralized file server, but unfortunately my app servers are spread out between EC2 and physical machines, which makes this unfeasible. As there are multiple app servers (some of which are dynamically created depending on the load of the site), simply setting up a rsync cron job is not efficient as the cron job would have to be modified on each machine to send files to every other machine in the cluster, and that would just be a whole bunch of unnecessary data transfers/ssh connections.

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  • What apps can you only get on Mac and not Windows?

    - by ytk
    What apps do you absolutely have to use a Mac to run, and there are no decent Windows PC equivalent? This is not a religious war. Please be specific and practical It doesn't have to be a direct 1-2-1 comparison, but overall usefulness to the task I'll start off with a few: KeyNote -- the animations are quite cool and not available in PowerPoint iTune's photo sync -- on Windows it makes copy of all the photos you want to sync, effectively double the space taken up by your photos. On a Mac it's easier as long as you use iPhoto Keychain -- a centralized password manager tied to the OS. The benefit of this is you don't have to set a Master Password (like Firefox) which you need to enter when starting the browser. And it doesn't reveal your password (like Chrome, which makes no effort in hiding the password you have stored in Options) Time Machine -- 0-configuration backup in the background. Easy interface for restoring a file, or even just a contact in the address book. Text-to-speech -- works in any program, and sounds better than Windows computer voice Quick View -- press space bar to preview a file. Windows95 had quick view, but was removed.

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  • How to chain GRUB2 for Ubuntu 10.04 from Truecrypt & its bootloader (multi boot alongside Windows XP partition)?

    - by Rob
    I want Truecrypt to ask for password for Windows XP as usual but with the standard [ESC] option, on selecting that, i.e via Escape key, I want it to find the grub for the (unencrypted) Ubuntu install. I've installed Windows XP on the 120Gb hard drive of a Toshiba NB100 netbook then partitioned to make room for Ubuntu 10.04 and installed that after the Windows XP install. When I encrypt Windows XP, Truecrypt will overwrite the grub entry in the master boot record (MBR), I believe (?) and I won't be able to choose between XP and Ubuntu anymore. So I need to restore it back. I've searched fairly extensively for answers on Ubuntu forums and elsewhere but have not yet found a complete answer that covers all eventualities, scenarios and error messages, or otherwise they talk of legacy GRUB and not GRUB2. Ubuntu 10.04 uses GRUB2. My setup: Partitions: Windows XP, NTFS (to be encrypted with Truecrypt), 40Gb /boot (Ext4, 1Gb) Ubuntu swap, 4Gb Ubuntu / (root) - main filesystem (20gb) NTFS share, 55Gb I know that the Truecrypt boot loader replaces the GRUB when boot up because I've already tried it on another laptop. I want boot loader screen to look something like the usual: Truecrypt Enter password: (or [ESC] to skip) password is for WindowsXP and on pressing [ESC] for it to find the Ubuntu grub to boot from Thanks in advance for your help. The key area of the problem is how to instruct Truecrypt when escape key is pressed, and how the Grub/Ubuntu can be made visible to the truecrypt bootloader to find it, when the esc key is pressed. Also knowing as chaining.

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  • Automatic switching of network card when vm is moved

    - by spock
    I have two hosts in a pool and I used to be able to move the vm around and they will start without any problem. But after I played around with some network setting, which I don't remember what, I started getting "This VM needs storage that cannot be seen from that server" message. As you can tell I am a beginner with Xenserver. Here is the very simple environment: 2 host servers with their own local hard disk and network card. One is a Pool master. Problem: Power off a vm and move vm from one server to another, or clone one vm to the other server. It used to be able to start up right away. Now, I need to delete one of the network that does not belong to the server, then it will start. Otherwise, the above error msg popup. The two networks (one for each network card in each host) are in the Networking tab of the vm, as well as in the host's networking tab. I googled but all I got to empty the DVD drive, which is not the problem here. Thanks in advance!

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  • How to securely control access to a backend key server?

    - by andy
    I need to securely encrypt data in my database so that if the database is dumped, hackers are unable to decrypt the data. I'm planning on creating a simple key server on a different machine, and allowing the DB server access to it (restricted by IP address on the key server to permit the DB server). The key server would contain the key required to encrypt/decrypt data. However, if a hacker were able to get a shell on the DB server, they could request the key from the key server and therefore decrypt the data in the database. How could I prevent this (assuming all firewalls are in place, DB is not connected directly to the internet, etc)? i.e. is there some method I could use that could secure a request from the DB server to the key server so that even if a hacker had a shell on the DB server they'd be unable to make those same requests? Signed requests from the DB server could make issuing these requests less trivial - I suppose that'd help increase the amount of time it'd take to compromise the key server, something a hacker probably wouldn't have much of. As far as I can see, if someone can get a shell on the DB server everything's lost anyway. This could be mitigated by using one key per data item in the DB so at least there's not a single "master" key, but multiple keys that the hacker would need to access. What would be a secure method of ensuring requests from the DB server to the key server were authentic and could be trusted?

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  • Git workflow for two tight-knit projects

    - by Pioul
    Two very similar projects I'm maintaining an online Markdown editor using Git as RCS (and accessorily made available on GitHub). From this web app, I've created a Chrome app: the code is the same, aside from some Chrome technicalities. I care about open sourcing these two projects. Still, the Chrome app's code being the same as the web app's except for some dull details, I've first chosen to (1) not publish the Chrome app on GitHub, and (2) not use Git to manage its code. Instead, I would manually review the web app's commits, then replicate the few changes in the Chrome app. … slightly drifting apart However, I've decided to add a feature to the Chrome app only. So, even though both codebases will remain broadly similar, they'll be diverging enough to make me reconsider the rationale behind my initial decision to not version control nor share the Chrome app's source code. Since I'm now willing to use Git to version control both apps, and that I want to share both of them on GitHub, how should I go about it? Should I use two different repositories, or one repo with two long-running branches? What would be the pros and cons of each approach in that context? What would be the easiest/fastest way to regularly "import" commits from the web app to the Chrome app, since the web app is going to remain the master branch? Is cherry-picking the only solution?

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  • mysql cluster problem in ubuntu

    - by Firman
    I have a problem while installing and configuring mysql cluster runnign on ubuntu 10.10 This is configuration for Cluster management [NDBD DEFAULT] NoOfReplicas=2 DataMemory=10MB IndexMemory=25MB MaxNoOfTables=256 MaxNoOfOrderedIndexes=256 MaxNoOfUniqueHashIndexes=128 [MYSQLD DEFAULT] [NDB_MGMD DEFAULT] [TCP DEFAULT] [NDB_MGMD] Id=1 # the NDB Management Node (this one) HostName=192.168.10.101 [NDBD] Id=2 # the first NDB Data Node HostName=192.168.10.11 DataDir= /var/lib/mysql-cluster [NDBD] Id=3 # the second NDB Data Node HostName=192.168.10.12 DataDir=/var/lib/mysql-cluster [MYSQLD] [MYSQLD] and this is configuration for both node : [mysqld] ndbcluster ndb-connectstring=192.168.10.101 # the IP of the MANAGMENT (THIRD) SERVER [mysql_cluster] ndb-connectstring=192.168.10.101 # the IP of the MANAGMENT (THIRD) SERVER After running all node and management, and I use ndb_mgm, the type 'show' command, and something appear like this : ndb_mgm> show Connected to Management Server at: localhost:1186 Cluster Configuration --------------------- [ndbd(NDB)] 2 node(s) id=2 @192.168.10.11 (mysql-5.1.39 ndb-7.0.9, Nodegroup: 0, Master) id=3 @192.168.10.12 (mysql-5.1.39 ndb-7.0.9, Nodegroup: 0) [ndb_mgmd(MGM)] 1 node(s) id=1 @192.168.10.101 (mysql-5.1.39 ndb-7.0.9) [mysqld(API)] 1 node(s) id=4 (not connected, accepting connect from 192.168.10.101) look at two last line.. not as what http://dev.mysql.com/tech-resources/articles/mysql-cluster-for-two-servers.html look like (see at point 4) anyone have ever had this problem ?

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  • How to manage enterprise network of Linux machines?

    - by killy9999
    I work at the university. In my institute we have six computer laboratories used for teaching. Each lab has almost 20 computers, which gives over 100 machines total. Computers have either Windows XP or Windows 7 Eneterprise operating system. We use Symantec Ghost to manage all the computers. Each computer has a Ghost client installed, which allows to control computers over network. Every six months we restore a master image on one of the computers in a lab, update that image and distribute it over the network to all computers in a laboratory. Thanks to Ghost client this is done automatically with just a few clicks. Recently I suggested that it would be good to have Linux installed in the laboratories. The administrators were concerned that we would not be able to manage that many computers if each would have to be updated manually. The question is: how to manage such a huge network of Linux machines in an automated way? To make the description of our network more complete I'll add that all students have their accounts (about few thousand users) on a central server. These are accessed via LDAP. To use a computer in laboratory each student has to log in using his own account.

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  • Added splash screen code to my package

    - by Youssef
    Please i need support to added splash screen code to my package /* * T24_Transformer_FormView.java */ package t24_transformer_form; import org.jdesktop.application.Action; import org.jdesktop.application.ResourceMap; import org.jdesktop.application.SingleFrameApplication; import org.jdesktop.application.FrameView; import org.jdesktop.application.TaskMonitor; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import javax.swing.filechooser.FileNameExtensionFilter; import javax.swing.filechooser.FileFilter; // old T24 Transformer imports import java.io.File; import java.io.FileWriter; import java.io.StringWriter; import java.text.SimpleDateFormat; import java.util.ArrayList; import java.util.Date; import java.util.HashMap; import java.util.Iterator; //import java.util.Properties; import java.util.StringTokenizer; import javax.swing.; import javax.xml.parsers.DocumentBuilder; import javax.xml.parsers.DocumentBuilderFactory; import javax.xml.transform.Result; import javax.xml.transform.Source; import javax.xml.transform.Transformer; import javax.xml.transform.TransformerFactory; import javax.xml.transform.dom.DOMSource; import javax.xml.transform.stream.StreamResult; import org.apache.log4j.Logger; import org.apache.log4j.PropertyConfigurator; import org.w3c.dom.Document; import org.w3c.dom.DocumentFragment; import org.w3c.dom.Element; import org.w3c.dom.Node; import org.w3c.dom.NodeList; import com.ejada.alinma.edh.xsdtransform.util.ConfigKeys; import com.ejada.alinma.edh.xsdtransform.util.XSDElement; import com.sun.org.apache.xml.internal.serialize.OutputFormat; import com.sun.org.apache.xml.internal.serialize.XMLSerializer; /* * The application's main frame. */ public class T24_Transformer_FormView extends FrameView { /**} * static holders for application-level utilities * { */ //private static Properties appProps; private static Logger appLogger; /** * */ private StringBuffer columnsCSV = null; private ArrayList<String> singleValueTableColumns = null; private HashMap<String, String> multiValueTablesSQL = null; private HashMap<Object, HashMap<String, Object>> groupAttrs = null; private ArrayList<XSDElement> xsdElementsList = null; /** * initialization */ private void init() /*throws Exception*/ { // init the properties object //FileReader in = new FileReader(appConfigPropsPath); //appProps.load(in); // log4j.properties constant String PROP_LOG4J_CONFIG_FILE = "log4j.properties"; // init the logger if ((PROP_LOG4J_CONFIG_FILE != null) && (!PROP_LOG4J_CONFIG_FILE.equals(""))) { PropertyConfigurator.configure(PROP_LOG4J_CONFIG_FILE); if (appLogger == null) { appLogger = Logger.getLogger(T24_Transformer_FormView.class.getName()); } appLogger.info("Application initialization successful."); } columnsCSV = new StringBuffer(ConfigKeys.FIELD_TAG + "," + ConfigKeys.FIELD_NUMBER + "," + ConfigKeys.FIELD_DATA_TYPE + "," + ConfigKeys.FIELD_FMT + "," + ConfigKeys.FIELD_LEN + "," + ConfigKeys.FIELD_INPUT_LEN + "," + ConfigKeys.FIELD_GROUP_NUMBER + "," + ConfigKeys.FIELD_MV_GROUP_NUMBER + "," + ConfigKeys.FIELD_SHORT_NAME + "," + ConfigKeys.FIELD_NAME + "," + ConfigKeys.FIELD_COLUMN_NAME + "," + ConfigKeys.FIELD_GROUP_NAME + "," + ConfigKeys.FIELD_MV_GROUP_NAME + "," + ConfigKeys.FIELD_JUSTIFICATION + "," + ConfigKeys.FIELD_TYPE + "," + ConfigKeys.FIELD_SINGLE_OR_MULTI + System.getProperty("line.separator")); singleValueTableColumns = new ArrayList<String>(); singleValueTableColumns.add(ConfigKeys.COLUMN_XPK_ROW + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.DATA_TYPE_XSD_NUMERIC); multiValueTablesSQL = new HashMap<String, String>(); groupAttrs = new HashMap<Object, HashMap<String, Object>>(); xsdElementsList = new ArrayList<XSDElement>(); } /** * initialize the <code>DocumentBuilder</code> and read the XSD file * * @param docPath * @return the <code>Document</code> object representing the read XSD file */ private Document retrieveDoc(String docPath) { Document xsdDoc = null; File file = new File(docPath); try { DocumentBuilder builder = DocumentBuilderFactory.newInstance().newDocumentBuilder(); xsdDoc = builder.parse(file); } catch (Exception e) { appLogger.error(e.getMessage()); } return xsdDoc; } /** * perform the iteration/modification on the document * iterate to the level which contains all the elements (Single-Value, and Groups) and start processing each * * @param xsdDoc * @return */ private Document processDoc(Document xsdDoc) { ArrayList<Object> newElementsList = new ArrayList<Object>(); HashMap<String, Object> docAttrMap = new HashMap<String, Object>(); Element sequenceElement = null; Element schemaElement = null; // get document's root element NodeList nodes = xsdDoc.getChildNodes(); for (int i = 0; i < nodes.getLength(); i++) { if (ConfigKeys.TAG_SCHEMA.equals(nodes.item(i).getNodeName())) { schemaElement = (Element) nodes.item(i); break; } } // process the document (change single-value elements, collect list of new elements to be added) for (int i1 = 0; i1 < schemaElement.getChildNodes().getLength(); i1++) { Node childLevel1 = (Node) schemaElement.getChildNodes().item(i1); // <ComplexType> element if (childLevel1.getNodeName().equals(ConfigKeys.TAG_COMPLEX_TYPE)) { // first, get the main attributes and put it in the csv file for (int i6 = 0; i6 < childLevel1.getChildNodes().getLength(); i6++) { Node child6 = childLevel1.getChildNodes().item(i6); if (ConfigKeys.TAG_ATTRIBUTE.equals(child6.getNodeName())) { if (child6.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { String attrName = child6.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).getNodeValue(); if (((Element) child6).getElementsByTagName(ConfigKeys.TAG_SIMPLE_TYPE).getLength() != 0) { Node simpleTypeElement = ((Element) child6).getElementsByTagName(ConfigKeys.TAG_SIMPLE_TYPE) .item(0); if (((Element) simpleTypeElement).getElementsByTagName(ConfigKeys.TAG_RESTRICTION).getLength() != 0) { Node restrictionElement = ((Element) simpleTypeElement).getElementsByTagName( ConfigKeys.TAG_RESTRICTION).item(0); if (((Element) restrictionElement).getElementsByTagName(ConfigKeys.TAG_MAX_LENGTH).getLength() != 0) { Node maxLengthElement = ((Element) restrictionElement).getElementsByTagName( ConfigKeys.TAG_MAX_LENGTH).item(0); HashMap<String, String> elementProperties = new HashMap<String, String>(); elementProperties.put(ConfigKeys.FIELD_TAG, attrName); elementProperties.put(ConfigKeys.FIELD_NUMBER, "0"); elementProperties.put(ConfigKeys.FIELD_DATA_TYPE, ConfigKeys.DATA_TYPE_XSD_STRING); elementProperties.put(ConfigKeys.FIELD_FMT, ""); elementProperties.put(ConfigKeys.FIELD_NAME, attrName); elementProperties.put(ConfigKeys.FIELD_SHORT_NAME, attrName); elementProperties.put(ConfigKeys.FIELD_COLUMN_NAME, attrName); elementProperties.put(ConfigKeys.FIELD_SINGLE_OR_MULTI, "S"); elementProperties.put(ConfigKeys.FIELD_LEN, maxLengthElement.getAttributes().getNamedItem( ConfigKeys.ATTR_VALUE).getNodeValue()); elementProperties.put(ConfigKeys.FIELD_INPUT_LEN, maxLengthElement.getAttributes() .getNamedItem(ConfigKeys.ATTR_VALUE).getNodeValue()); constructElementRow(elementProperties); // add the attribute as a column in the single-value table singleValueTableColumns.add(attrName + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.DATA_TYPE_XSD_STRING + ConfigKeys.DELIMITER_COLUMN_TYPE + maxLengthElement.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE).getNodeValue()); // add the attribute as an element in the elements list addToElementsList(attrName, attrName); appLogger.debug("added attribute: " + attrName); } } } } } } // now, loop on the elements and process them for (int i2 = 0; i2 < childLevel1.getChildNodes().getLength(); i2++) { Node childLevel2 = (Node) childLevel1.getChildNodes().item(i2); // <Sequence> element if (childLevel2.getNodeName().equals(ConfigKeys.TAG_SEQUENCE)) { sequenceElement = (Element) childLevel2; for (int i3 = 0; i3 < childLevel2.getChildNodes().getLength(); i3++) { Node childLevel3 = (Node) childLevel2.getChildNodes().item(i3); // <Element> element if (childLevel3.getNodeName().equals(ConfigKeys.TAG_ELEMENT)) { // check if single element or group if (isGroup(childLevel3)) { processGroup(childLevel3, true, null, null, docAttrMap, xsdDoc, newElementsList); // insert a new comment node with the contents of the group tag sequenceElement.insertBefore(xsdDoc.createComment(serialize(childLevel3)), childLevel3); // remove the group tag sequenceElement.removeChild(childLevel3); } else { processElement(childLevel3); } } } } } } } // add new elements // this step should be after finishing processing the whole document. when you add new elements to the document // while you are working on it, those new elements will be included in the processing. We don't need that! for (int i = 0; i < newElementsList.size(); i++) { sequenceElement.appendChild((Element) newElementsList.get(i)); } // write the new required attributes to the schema element Iterator<String> attrIter = docAttrMap.keySet().iterator(); while(attrIter.hasNext()) { Element attr = (Element) docAttrMap.get(attrIter.next()); Element newAttrElement = xsdDoc.createElement(ConfigKeys.TAG_ATTRIBUTE); appLogger.debug("appending attr. [" + attr.getAttribute(ConfigKeys.ATTR_NAME) + "]..."); newAttrElement.setAttribute(ConfigKeys.ATTR_NAME, attr.getAttribute(ConfigKeys.ATTR_NAME)); newAttrElement.setAttribute(ConfigKeys.ATTR_TYPE, attr.getAttribute(ConfigKeys.ATTR_TYPE)); schemaElement.appendChild(newAttrElement); } return xsdDoc; } /** * add a new <code>XSDElement</code> with the given <code>name</code> and <code>businessName</code> to * the elements list * * @param name * @param businessName */ private void addToElementsList(String name, String businessName) { xsdElementsList.add(new XSDElement(name, businessName)); } /** * add the given <code>XSDElement</code> to the elements list * * @param element */ private void addToElementsList(XSDElement element) { xsdElementsList.add(element); } /** * check if the <code>element</code> sent is single-value element or group * element. the comparison depends on the children of the element. if found one of type * <code>ComplexType</code> then it's a group element, and if of type * <code>SimpleType</code> then it's a single-value element * * @param element * @return <code>true</code> if the element is a group element, * <code>false</code> otherwise */ private boolean isGroup(Node element) { for (int i = 0; i < element.getChildNodes().getLength(); i++) { Node child = (Node) element.getChildNodes().item(i); if (child.getNodeName().equals(ConfigKeys.TAG_COMPLEX_TYPE)) { // found a ComplexType child (Group element) return true; } else if (child.getNodeName().equals(ConfigKeys.TAG_SIMPLE_TYPE)) { // found a SimpleType child (Single-Value element) return false; } } return false; /* String attrName = null; if (element.getAttributes() != null) { Node attribute = element.getAttributes().getNamedItem(XSDTransformer.ATTR_NAME); if (attribute != null) { attrName = attribute.getNodeValue(); } } if (attrName.startsWith("g")) { // group element return true; } else { // single element return false; } */ } /** * process a group element. recursively, process groups till no more group elements are found * * @param element * @param isFirstLevelGroup * @param attrMap * @param docAttrMap * @param xsdDoc * @param newElementsList */ private void processGroup(Node element, boolean isFirstLevelGroup, Node parentGroup, XSDElement parentGroupElement, HashMap<String, Object> docAttrMap, Document xsdDoc, ArrayList<Object> newElementsList) { String elementName = null; HashMap<String, Object> groupAttrMap = new HashMap<String, Object>(); HashMap<String, Object> parentGroupAttrMap = new HashMap<String, Object>(); XSDElement groupElement = null; if (element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { elementName = element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).getNodeValue(); } appLogger.debug("processing group [" + elementName + "]..."); groupElement = new XSDElement(elementName, elementName); // get the attributes if a non-first-level-group // attributes are: groups's own attributes + parent group's attributes if (!isFirstLevelGroup) { // get the current element (group) attributes for (int i1 = 0; i1 < element.getChildNodes().getLength(); i1++) { if (ConfigKeys.TAG_COMPLEX_TYPE.equals(element.getChildNodes().item(i1).getNodeName())) { Node complexTypeNode = element.getChildNodes().item(i1); for (int i2 = 0; i2 < complexTypeNode.getChildNodes().getLength(); i2++) { if (ConfigKeys.TAG_ATTRIBUTE.equals(complexTypeNode.getChildNodes().item(i2).getNodeName())) { appLogger.debug("add group attr: " + ((Element) complexTypeNode.getChildNodes().item(i2)).getAttribute(ConfigKeys.ATTR_NAME)); groupAttrMap.put(((Element) complexTypeNode.getChildNodes().item(i2)).getAttribute(ConfigKeys.ATTR_NAME), complexTypeNode.getChildNodes().item(i2)); docAttrMap.put(((Element) complexTypeNode.getChildNodes().item(i2)).getAttribute(ConfigKeys.ATTR_NAME), complexTypeNode.getChildNodes().item(i2)); } } } } // now, get the parent's attributes parentGroupAttrMap = groupAttrs.get(parentGroup); if (parentGroupAttrMap != null) { Iterator<String> iter = parentGroupAttrMap.keySet().iterator(); while (iter.hasNext()) { String attrName = iter.next(); groupAttrMap.put(attrName, parentGroupAttrMap.get(attrName)); } } // add the attributes to the group element that will be added to the elements list Iterator<String> itr = groupAttrMap.keySet().iterator(); while(itr.hasNext()) { groupElement.addAttribute(itr.next()); } // put the attributes in the attributes map groupAttrs.put(element, groupAttrMap); } for (int i = 0; i < element.getChildNodes().getLength(); i++) { Node childLevel1 = (Node) element.getChildNodes().item(i); if (childLevel1.getNodeName().equals(ConfigKeys.TAG_COMPLEX_TYPE)) { for (int j = 0; j < childLevel1.getChildNodes().getLength(); j++) { Node childLevel2 = (Node) childLevel1.getChildNodes().item(j); if (childLevel2.getNodeName().equals(ConfigKeys.TAG_SEQUENCE)) { for (int k = 0; k < childLevel2.getChildNodes().getLength(); k++) { Node childLevel3 = (Node) childLevel2.getChildNodes().item(k); if (childLevel3.getNodeName().equals(ConfigKeys.TAG_ELEMENT)) { // check if single element or group if (isGroup(childLevel3)) { // another group element.. // unfortunately, a recursion is // needed here!!! :-( processGroup(childLevel3, false, element, groupElement, docAttrMap, xsdDoc, newElementsList); } else { // reached a single-value element.. copy it under the // main sequence and apply the name<>shorname replacement processGroupElement(childLevel3, element, groupElement, isFirstLevelGroup, xsdDoc, newElementsList); } } } } } } } if (isFirstLevelGroup) { addToElementsList(groupElement); } else { parentGroupElement.addChild(groupElement); } appLogger.debug("finished processing group [" + elementName + "]."); } /** * process the sent <code>element</code> to extract/modify required * information: * 1. replace the <code>name</code> attribute with the <code>shortname</code>. * * @param element */ private void processElement(Node element) { String fieldShortName = null; String fieldColumnName = null; String fieldDataType = null; String fieldFormat = null; String fieldInputLength = null; String elementName = null; HashMap<String, String> elementProperties = new HashMap<String, String>(); if (element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { elementName = element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).getNodeValue(); } appLogger.debug("processing element [" + elementName + "]..."); for (int i = 0; i < element.getChildNodes().getLength(); i++) { Node childLevel1 = (Node) element.getChildNodes().item(i); if (childLevel1.getNodeName().equals(ConfigKeys.TAG_ANNOTATION)) { for (int j = 0; j < childLevel1.getChildNodes().getLength(); j++) { Node childLevel2 = (Node) childLevel1.getChildNodes().item(j); if (childLevel2.getNodeName().equals(ConfigKeys.TAG_APP_INFO)) { for (int k = 0; k < childLevel2.getChildNodes().getLength(); k++) { Node childLevel3 = (Node) childLevel2.getChildNodes().item(k); if (childLevel3.getNodeName().equals(ConfigKeys.TAG_HAS_PROPERTY)) { if (childLevel3.getAttributes() != null) { String attrName = null; Node attribute = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME); if (attribute != null) { attrName = attribute.getNodeValue(); elementProperties.put(attrName, childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue()); if (attrName.equals(ConfigKeys.FIELD_SHORT_NAME)) { fieldShortName = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_COLUMN_NAME)) { fieldColumnName = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_DATA_TYPE)) { fieldDataType = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_FMT)) { fieldFormat = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_INPUT_LEN)) { fieldInputLength = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } } } } } } } } } // replace the name attribute with the shortname if (element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).setNodeValue(fieldShortName); } elementProperties.put(ConfigKeys.FIELD_SINGLE_OR_MULTI, "S"); constructElementRow(elementProperties); singleValueTableColumns.add(fieldShortName + ConfigKeys.DELIMITER_COLUMN_TYPE + fieldDataType + fieldFormat + ConfigKeys.DELIMITER_COLUMN_TYPE + fieldInputLength); // add the element to elements list addToElementsList(fieldShortName, fieldColumnName); appLogger.debug("finished processing element [" + elementName + "]."); } /** * process the sent <code>element</code> to extract/modify required * information: * 1. copy the element under the main sequence * 2. replace the <code>name</code> attribute with the <code>shortname</code>. * 3. add the attributes of the parent groups (if non-first-level-group) * * @param element */ private void processGroupElement(Node element, Node parentGroup, XSDElement parentGroupElement, boolean isFirstLevelGroup, Document xsdDoc, ArrayList<Object> newElementsList) { String fieldShortName = null; String fieldColumnName = null; String fieldDataType = null; String fieldFormat = null; String fieldInputLength = null; String elementName = null; Element newElement = null; HashMap<String, String> elementProperties = new HashMap<String, String>(); ArrayList<String> tableColumns = new ArrayList<String>(); HashMap<String, Object> groupAttrMap = null; if (element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { elementName = element.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).getNodeValue(); } appLogger.debug("processing element [" + elementName + "]..."); // 1. copy the element newElement = (Element) element.cloneNode(true); newElement.setAttribute(ConfigKeys.ATTR_MAX_OCCURS, "unbounded"); // 2. if non-first-level-group, replace the element's SimpleType tag with a ComplexType tag if (!isFirstLevelGroup) { if (((Element) newElement).getElementsByTagName(ConfigKeys.TAG_SIMPLE_TYPE).getLength() != 0) { // there should be only one tag of SimpleType Node simpleTypeNode = ((Element) newElement).getElementsByTagName(ConfigKeys.TAG_SIMPLE_TYPE).item(0); // create the new ComplexType element Element complexTypeNode = xsdDoc.createElement(ConfigKeys.TAG_COMPLEX_TYPE); complexTypeNode.setAttribute(ConfigKeys.ATTR_MIXED, "true"); // get the list of attributes for the parent group groupAttrMap = groupAttrs.get(parentGroup); Iterator<String> attrIter = groupAttrMap.keySet().iterator(); while(attrIter.hasNext()) { Element attr = (Element) groupAttrMap.get(attrIter.next()); Element newAttrElement = xsdDoc.createElement(ConfigKeys.TAG_ATTRIBUTE); appLogger.debug("adding attr. [" + attr.getAttribute(ConfigKeys.ATTR_NAME) + "]..."); newAttrElement.setAttribute(ConfigKeys.ATTR_REF, attr.getAttribute(ConfigKeys.ATTR_NAME)); newAttrElement.setAttribute(ConfigKeys.ATTR_USE, "optional"); complexTypeNode.appendChild(newAttrElement); } // replace the old SimpleType node with the new ComplexType node newElement.replaceChild(complexTypeNode, simpleTypeNode); } } // 3. replace the name with the shortname in the new element for (int i = 0; i < newElement.getChildNodes().getLength(); i++) { Node childLevel1 = (Node) newElement.getChildNodes().item(i); if (childLevel1.getNodeName().equals(ConfigKeys.TAG_ANNOTATION)) { for (int j = 0; j < childLevel1.getChildNodes().getLength(); j++) { Node childLevel2 = (Node) childLevel1.getChildNodes().item(j); if (childLevel2.getNodeName().equals(ConfigKeys.TAG_APP_INFO)) { for (int k = 0; k < childLevel2.getChildNodes().getLength(); k++) { Node childLevel3 = (Node) childLevel2.getChildNodes().item(k); if (childLevel3.getNodeName().equals(ConfigKeys.TAG_HAS_PROPERTY)) { if (childLevel3.getAttributes() != null) { String attrName = null; Node attribute = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME); if (attribute != null) { attrName = attribute.getNodeValue(); elementProperties.put(attrName, childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue()); if (attrName.equals(ConfigKeys.FIELD_SHORT_NAME)) { fieldShortName = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_COLUMN_NAME)) { fieldColumnName = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_DATA_TYPE)) { fieldDataType = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_FMT)) { fieldFormat = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } else if (attrName.equals(ConfigKeys.FIELD_INPUT_LEN)) { fieldInputLength = childLevel3.getAttributes().getNamedItem(ConfigKeys.ATTR_VALUE) .getNodeValue(); } } } } } } } } } if (newElement.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME) != null) { newElement.getAttributes().getNamedItem(ConfigKeys.ATTR_NAME).setNodeValue(fieldShortName); } // 4. save the new element to be added to the sequence list newElementsList.add(newElement); elementProperties.put(ConfigKeys.FIELD_SINGLE_OR_MULTI, "M"); constructElementRow(elementProperties); // create the MULTI-VALUE table // 0. Primary Key tableColumns.add(ConfigKeys.COLUMN_XPK_ROW + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.DATA_TYPE_XSD_STRING + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.COLUMN_XPK_ROW_LENGTH); // 1. foreign key tableColumns.add(ConfigKeys.COLUMN_FK_ROW + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.DATA_TYPE_XSD_NUMERIC); // 2. field value tableColumns.add(fieldShortName + ConfigKeys.DELIMITER_COLUMN_TYPE + fieldDataType + fieldFormat + ConfigKeys.DELIMITER_COLUMN_TYPE + fieldInputLength); // 3. attributes if (groupAttrMap != null) { Iterator<String> attrIter = groupAttrMap.keySet().iterator(); while (attrIter.hasNext()) { Element attr = (Element) groupAttrMap.get(attrIter.next()); tableColumns.add(attr.getAttribute(ConfigKeys.ATTR_NAME) + ConfigKeys.DELIMITER_COLUMN_TYPE + ConfigKeys.DATA_TYPE_XSD_NUMERIC); } } multiValueTablesSQL.put(sub_table_prefix.getText() + fieldShortName, constructMultiValueTableSQL( sub_table_prefix.getText() + fieldShortName, tableColumns)); // add the element to it's parent group children parentGroupElement.addChild(new XSDElement(fieldShortName, fieldColumnName)); appLogger.debug("finished processing element [" + elementName + "]."); } /** * write resulted files * * @param xsdDoc * @param docPath */ private void writeResults(Document xsdDoc, String resultsDir, String newXSDFileName, String csvFileName) { String rsDir = resultsDir + File.separator + new SimpleDateFormat("yyyyMMdd-HHmm").format(new Date()); try { File resultsDirFile = new File(rsDir); if (!resultsDirFile.exists()) { resultsDirFile.mkdirs(); } // write the XSD doc appLogger.info("writing the transformed XSD..."); Source source = new DOMSource(xsdDoc); Result result = new StreamResult(rsDir + File.separator + newXSDFileName); Transformer xformer = TransformerFactory.newInstance().newTransformer(); // xformer.setOutputProperty("indent", "yes"); xformer.transform(source, result); appLogger.info("finished writing the transformed XSD."); // write the CSV columns file appLogger.info("writing the CSV file..."); FileWriter csvWriter = new FileWriter(rsDir + File.separator + csvFileName); csvWriter.write(columnsCSV.toString()); csvWriter.close(); appLogger.info("finished writing the CSV file."); // write the master single-value table appLogger.info("writing the creation script for master table (single-values)..."); FileWriter masterTableWriter = new FileWriter(rsDir + File.separator + main_edh_table_name.getText() + ".sql"); masterTableWriter.write(constructSingleValueTableSQL(main_edh_table_name.getText(), singleValueTableColumns)); masterTableWriter.close(); appLogger.info("finished writing the creation script for master table (single-values)."); // write the multi-value tables sql appLogger.info("writing the creation script for slave tables (multi-values)..."); Iterator<String> iter = multiValueTablesSQL.keySet().iterator(); while (iter.hasNext()) { String tableName = iter.next(); String sql = multiValueTablesSQL.get(tableName); FileWriter tableSQLWriter = new FileWriter(rsDir + File.separator + tableName + ".sql"); tableSQLWriter.write(sql); tableSQLWriter.close(); } appLogger.info("finished writing the creation script for slave tables (multi-values)."); // write the single-value view appLogger.info("writing the creation script for single-value selection view..."); FileWriter singleValueViewWriter = new FileWriter(rsDir + File.separator + view_name_single.getText() + ".sql"); singleValueViewWriter.write(constructViewSQL(ConfigKeys.SQL_VIEW_SINGLE)); singleValueViewWriter.close(); appLogger.info("finished writing the creation script for single-value selection view."); // debug for (int i = 0; i < xsdElementsList.size(); i++) { getMultiView(xsdElementsList.get(i)); /*// if (xsdElementsList.get(i).getAllDescendants() != null) { // for (int j = 0; j < xsdElementsList.get(i).getAllDescendants().size(); j++) { // appLogger.debug(main_edh_table_name.getText() + "." + ConfigKeys.COLUMN_XPK_ROW // + "=" + xsdElementsList.get(i).getAllDescendants().get(j).getName() + "." + ConfigKeys.COLUMN_FK_ROW); // } // } */ } } catch (Exception e) { appLogger.error(e.getMessage()); } } private String getMultiView(XSDElement element)

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  • An Introduction to ASP.NET Web API

    - by Rick Strahl
    Microsoft recently released ASP.NET MVC 4.0 and .NET 4.5 and along with it, the brand spanking new ASP.NET Web API. Web API is an exciting new addition to the ASP.NET stack that provides a new, well-designed HTTP framework for creating REST and AJAX APIs (API is Microsoft’s new jargon for a service, in case you’re wondering). Although Web API ships and installs with ASP.NET MVC 4, you can use Web API functionality in any ASP.NET project, including WebForms, WebPages and MVC or just a Web API by itself. And you can also self-host Web API in your own applications from Console, Desktop or Service applications. If you're interested in a high level overview on what ASP.NET Web API is and how it fits into the ASP.NET stack you can check out my previous post: Where does ASP.NET Web API fit? In the following article, I'll focus on a practical, by example introduction to ASP.NET Web API. All the code discussed in this article is available in GitHub: https://github.com/RickStrahl/AspNetWebApiArticle [republished from my Code Magazine Article and updated for RTM release of ASP.NET Web API] Getting Started To start I’ll create a new empty ASP.NET application to demonstrate that Web API can work with any kind of ASP.NET project. Although you can create a new project based on the ASP.NET MVC/Web API template to quickly get up and running, I’ll take you through the manual setup process, because one common use case is to add Web API functionality to an existing ASP.NET application. This process describes the steps needed to hook up Web API to any ASP.NET 4.0 application. Start by creating an ASP.NET Empty Project. Then create a new folder in the project called Controllers. Add a Web API Controller Class Once you have any kind of ASP.NET project open, you can add a Web API Controller class to it. Web API Controllers are very similar to MVC Controller classes, but they work in any kind of project. Add a new item to this folder by using the Add New Item option in Visual Studio and choose Web API Controller Class, as shown in Figure 1. Figure 1: This is how you create a new Controller Class in Visual Studio   Make sure that the name of the controller class includes Controller at the end of it, which is required in order for Web API routing to find it. Here, the name for the class is AlbumApiController. For this example, I’ll use a Music Album model to demonstrate basic behavior of Web API. The model consists of albums and related songs where an album has properties like Name, Artist and YearReleased and a list of songs with a SongName and SongLength as well as an AlbumId that links it to the album. You can find the code for the model (and the rest of these samples) on Github. To add the file manually, create a new folder called Model, and add a new class Album.cs and copy the code into it. There’s a static AlbumData class with a static CreateSampleAlbumData() method that creates a short list of albums on a static .Current that I’ll use for the examples. Before we look at what goes into the controller class though, let’s hook up routing so we can access this new controller. Hooking up Routing in Global.asax To start, I need to perform the one required configuration task in order for Web API to work: I need to configure routing to the controller. Like MVC, Web API uses routing to provide clean, extension-less URLs to controller methods. Using an extension method to ASP.NET’s static RouteTable class, you can use the MapHttpRoute() (in the System.Web.Http namespace) method to hook-up the routing during Application_Start in global.asax.cs shown in Listing 1.using System; using System.Web.Routing; using System.Web.Http; namespace AspNetWebApi { public class Global : System.Web.HttpApplication { protected void Application_Start(object sender, EventArgs e) { RouteTable.Routes.MapHttpRoute( name: "AlbumVerbs", routeTemplate: "albums/{title}", defaults: new { symbol = RouteParameter.Optional, controller="AlbumApi" } ); } } } This route configures Web API to direct URLs that start with an albums folder to the AlbumApiController class. Routing in ASP.NET is used to create extensionless URLs and allows you to map segments of the URL to specific Route Value parameters. A route parameter, with a name inside curly brackets like {name}, is mapped to parameters on the controller methods. Route parameters can be optional, and there are two special route parameters – controller and action – that determine the controller to call and the method to activate respectively. HTTP Verb Routing Routing in Web API can route requests by HTTP Verb in addition to standard {controller},{action} routing. For the first examples, I use HTTP Verb routing, as shown Listing 1. Notice that the route I’ve defined does not include an {action} route value or action value in the defaults. Rather, Web API can use the HTTP Verb in this route to determine the method to call the controller, and a GET request maps to any method that starts with Get. So methods called Get() or GetAlbums() are matched by a GET request and a POST request maps to a Post() or PostAlbum(). Web API matches a method by name and parameter signature to match a route, query string or POST values. In lieu of the method name, the [HttpGet,HttpPost,HttpPut,HttpDelete, etc] attributes can also be used to designate the accepted verbs explicitly if you don’t want to follow the verb naming conventions. Although HTTP Verb routing is a good practice for REST style resource APIs, it’s not required and you can still use more traditional routes with an explicit {action} route parameter. When {action} is supplied, the HTTP verb routing is ignored. I’ll talk more about alternate routes later. When you’re finished with initial creation of files, your project should look like Figure 2.   Figure 2: The initial project has the new API Controller Album model   Creating a small Album Model Now it’s time to create some controller methods to serve data. For these examples, I’ll use a very simple Album and Songs model to play with, as shown in Listing 2. public class Song { public string AlbumId { get; set; } [Required, StringLength(80)] public string SongName { get; set; } [StringLength(5)] public string SongLength { get; set; } } public class Album { public string Id { get; set; } [Required, StringLength(80)] public string AlbumName { get; set; } [StringLength(80)] public string Artist { get; set; } public int YearReleased { get; set; } public DateTime Entered { get; set; } [StringLength(150)] public string AlbumImageUrl { get; set; } [StringLength(200)] public string AmazonUrl { get; set; } public virtual List<Song> Songs { get; set; } public Album() { Songs = new List<Song>(); Entered = DateTime.Now; // Poor man's unique Id off GUID hash Id = Guid.NewGuid().GetHashCode().ToString("x"); } public void AddSong(string songName, string songLength = null) { this.Songs.Add(new Song() { AlbumId = this.Id, SongName = songName, SongLength = songLength }); } } Once the model has been created, I also added an AlbumData class that generates some static data in memory that is loaded onto a static .Current member. The signature of this class looks like this and that's what I'll access to retrieve the base data:public static class AlbumData { // sample data - static list public static List<Album> Current = CreateSampleAlbumData(); /// <summary> /// Create some sample data /// </summary> /// <returns></returns> public static List<Album> CreateSampleAlbumData() { … }} You can check out the full code for the data generation online. Creating an AlbumApiController Web API shares many concepts of ASP.NET MVC, and the implementation of your API logic is done by implementing a subclass of the System.Web.Http.ApiController class. Each public method in the implemented controller is a potential endpoint for the HTTP API, as long as a matching route can be found to invoke it. The class name you create should end in Controller, which is how Web API matches the controller route value to figure out which class to invoke. Inside the controller you can implement methods that take standard .NET input parameters and return .NET values as results. Web API’s binding tries to match POST data, route values, form values or query string values to your parameters. Because the controller is configured for HTTP Verb based routing (no {action} parameter in the route), any methods that start with Getxxxx() are called by an HTTP GET operation. You can have multiple methods that match each HTTP Verb as long as the parameter signatures are different and can be matched by Web API. In Listing 3, I create an AlbumApiController with two methods to retrieve a list of albums and a single album by its title .public class AlbumApiController : ApiController { public IEnumerable<Album> GetAlbums() { var albums = AlbumData.Current.OrderBy(alb => alb.Artist); return albums; } public Album GetAlbum(string title) { var album = AlbumData.Current .SingleOrDefault(alb => alb.AlbumName.Contains(title)); return album; }} To access the first two requests, you can use the following URLs in your browser: http://localhost/aspnetWebApi/albumshttp://localhost/aspnetWebApi/albums/Dirty%20Deeds Note that you’re not specifying the actions of GetAlbum or GetAlbums in these URLs. Instead Web API’s routing uses HTTP GET verb to route to these methods that start with Getxxx() with the first mapping to the parameterless GetAlbums() method and the latter to the GetAlbum(title) method that receives the title parameter mapped as optional in the route. Content Negotiation When you access any of the URLs above from a browser, you get either an XML or JSON result returned back. The album list result for Chrome 17 and Internet Explorer 9 is shown Figure 3. Figure 3: Web API responses can vary depending on the browser used, demonstrating Content Negotiation in action as these two browsers send different HTTP Accept headers.   Notice that the results are not the same: Chrome returns an XML response and IE9 returns a JSON response. Whoa, what’s going on here? Shouldn’t we see the same result in both browsers? Actually, no. Web API determines what type of content to return based on Accept headers. HTTP clients, like browsers, use Accept headers to specify what kind of content they’d like to see returned. Browsers generally ask for HTML first, followed by a few additional content types. Chrome (and most other major browsers) ask for: Accept: text/html, application/xhtml+xml,application/xml; q=0.9,*/*;q=0.8 IE9 asks for: Accept: text/html, application/xhtml+xml, */* Note that Chrome’s Accept header includes application/xml, which Web API finds in its list of supported media types and returns an XML response. IE9 does not include an Accept header type that works on Web API by default, and so it returns the default format, which is JSON. This is an important and very useful feature that was missing from any previous Microsoft REST tools: Web API automatically switches output formats based on HTTP Accept headers. Nowhere in the server code above do you have to explicitly specify the output format. Rather, Web API determines what format the client is requesting based on the Accept headers and automatically returns the result based on the available formatters. This means that a single method can handle both XML and JSON results.. Using this simple approach makes it very easy to create a single controller method that can return JSON, XML, ATOM or even OData feeds by providing the appropriate Accept header from the client. By default you don’t have to worry about the output format in your code. Note that you can still specify an explicit output format if you choose, either globally by overriding the installed formatters, or individually by returning a lower level HttpResponseMessage instance and setting the formatter explicitly. More on that in a minute. Along the same lines, any content sent to the server via POST/PUT is parsed by Web API based on the HTTP Content-type of the data sent. The same formats allowed for output are also allowed on input. Again, you don’t have to do anything in your code – Web API automatically performs the deserialization from the content. Accessing Web API JSON Data with jQuery A very common scenario for Web API endpoints is to retrieve data for AJAX calls from the Web browser. Because JSON is the default format for Web API, it’s easy to access data from the server using jQuery and its getJSON() method. This example receives the albums array from GetAlbums() and databinds it into the page using knockout.js.$.getJSON("albums/", function (albums) { // make knockout template visible $(".album").show(); // create view object and attach array var view = { albums: albums }; ko.applyBindings(view); }); Figure 4 shows this and the next example’s HTML output. You can check out the complete HTML and script code at http://goo.gl/Ix33C (.html) and http://goo.gl/tETlg (.js). Figu Figure 4: The Album Display sample uses JSON data loaded from Web API.   The result from the getJSON() call is a JavaScript object of the server result, which comes back as a JavaScript array. In the code, I use knockout.js to bind this array into the UI, which as you can see, requires very little code, instead using knockout’s data-bind attributes to bind server data to the UI. Of course, this is just one way to use the data – it’s entirely up to you to decide what to do with the data in your client code. Along the same lines, I can retrieve a single album to display when the user clicks on an album. The response returns the album information and a child array with all the songs. The code to do this is very similar to the last example where we pulled the albums array:$(".albumlink").live("click", function () { var id = $(this).data("id"); // title $.getJSON("albums/" + id, function (album) { ko.applyBindings(album, $("#divAlbumDialog")[0]); $("#divAlbumDialog").show(); }); }); Here the URL looks like this: /albums/Dirty%20Deeds, where the title is the ID captured from the clicked element’s data ID attribute. Explicitly Overriding Output Format When Web API automatically converts output using content negotiation, it does so by matching Accept header media types to the GlobalConfiguration.Configuration.Formatters and the SupportedMediaTypes of each individual formatter. You can add and remove formatters to globally affect what formats are available and it’s easy to create and plug in custom formatters.The example project includes a JSONP formatter that can be plugged in to provide JSONP support for requests that have a callback= querystring parameter. Adding, removing or replacing formatters is a global option you can use to manipulate content. It’s beyond the scope of this introduction to show how it works, but you can review the sample code or check out my blog entry on the subject (http://goo.gl/UAzaR). If automatic processing is not desirable in a particular Controller method, you can override the response output explicitly by returning an HttpResponseMessage instance. HttpResponseMessage is similar to ActionResult in ASP.NET MVC in that it’s a common way to return an abstract result message that contains content. HttpResponseMessage s parsed by the Web API framework using standard interfaces to retrieve the response data, status code, headers and so on[MS2] . Web API turns every response – including those Controller methods that return static results – into HttpResponseMessage instances. Explicitly returning an HttpResponseMessage instance gives you full control over the output and lets you mostly bypass WebAPI’s post-processing of the HTTP response on your behalf. HttpResponseMessage allows you to customize the response in great detail. Web API’s attention to detail in the HTTP spec really shows; many HTTP options are exposed as properties and enumerations with detailed IntelliSense comments. Even if you’re new to building REST-based interfaces, the API guides you in the right direction for returning valid responses and response codes. For example, assume that I always want to return JSON from the GetAlbums() controller method and ignore the default media type content negotiation. To do this, I can adjust the output format and headers as shown in Listing 4.public HttpResponseMessage GetAlbums() { var albums = AlbumData.Current.OrderBy(alb => alb.Artist); // Create a new HttpResponse with Json Formatter explicitly var resp = new HttpResponseMessage(HttpStatusCode.OK); resp.Content = new ObjectContent<IEnumerable<Album>>( albums, new JsonMediaTypeFormatter()); // Get Default Formatter based on Content Negotiation //var resp = Request.CreateResponse<IEnumerable<Album>>(HttpStatusCode.OK, albums); resp.Headers.ConnectionClose = true; resp.Headers.CacheControl = new CacheControlHeaderValue(); resp.Headers.CacheControl.Public = true; return resp; } This example returns the same IEnumerable<Album> value, but it wraps the response into an HttpResponseMessage so you can control the entire HTTP message result including the headers, formatter and status code. In Listing 4, I explicitly specify the formatter using the JsonMediaTypeFormatter to always force the content to JSON.  If you prefer to use the default content negotiation with HttpResponseMessage results, you can create the Response instance using the Request.CreateResponse method:var resp = Request.CreateResponse<IEnumerable<Album>>(HttpStatusCode.OK, albums); This provides you an HttpResponse object that's pre-configured with the default formatter based on Content Negotiation. Once you have an HttpResponse object you can easily control most HTTP aspects on this object. What's sweet here is that there are many more detailed properties on HttpResponse than the core ASP.NET Response object, with most options being explicitly configurable with enumerations that make it easy to pick the right headers and response codes from a list of valid codes. It makes HTTP features available much more discoverable even for non-hardcore REST/HTTP geeks. Non-Serialized Results The output returned doesn’t have to be a serialized value but can also be raw data, like strings, binary data or streams. You can use the HttpResponseMessage.Content object to set a number of common Content classes. Listing 5 shows how to return a binary image using the ByteArrayContent class from a Controller method. [HttpGet] public HttpResponseMessage AlbumArt(string title) { var album = AlbumData.Current.FirstOrDefault(abl => abl.AlbumName.StartsWith(title)); if (album == null) { var resp = Request.CreateResponse<ApiMessageError>( HttpStatusCode.NotFound, new ApiMessageError("Album not found")); return resp; } // kinda silly - we would normally serve this directly // but hey - it's a demo. var http = new WebClient(); var imageData = http.DownloadData(album.AlbumImageUrl); // create response and return var result = new HttpResponseMessage(HttpStatusCode.OK); result.Content = new ByteArrayContent(imageData); result.Content.Headers.ContentType = new MediaTypeHeaderValue("image/jpeg"); return result; } The image retrieval from Amazon is contrived, but it shows how to return binary data using ByteArrayContent. It also demonstrates that you can easily return multiple types of content from a single controller method, which is actually quite common. If an error occurs - such as a resource can’t be found or a validation error – you can return an error response to the client that’s very specific to the error. In GetAlbumArt(), if the album can’t be found, we want to return a 404 Not Found status (and realistically no error, as it’s an image). Note that if you are not using HTTP Verb-based routing or not accessing a method that starts with Get/Post etc., you have to specify one or more HTTP Verb attributes on the method explicitly. Here, I used the [HttpGet] attribute to serve the image. Another option to handle the error could be to return a fixed placeholder image if no album could be matched or the album doesn’t have an image. When returning an error code, you can also return a strongly typed response to the client. For example, you can set the 404 status code and also return a custom error object (ApiMessageError is a class I defined) like this:return Request.CreateResponse<ApiMessageError>( HttpStatusCode.NotFound, new ApiMessageError("Album not found") );   If the album can be found, the image will be returned. The image is downloaded into a byte[] array, and then assigned to the result’s Content property. I created a new ByteArrayContent instance and assigned the image’s bytes and the content type so that it displays properly in the browser. There are other content classes available: StringContent, StreamContent, ByteArrayContent, MultipartContent, and ObjectContent are at your disposal to return just about any kind of content. You can create your own Content classes if you frequently return custom types and handle the default formatter assignments that should be used to send the data out . Although HttpResponseMessage results require more code than returning a plain .NET value from a method, it allows much more control over the actual HTTP processing than automatic processing. It also makes it much easier to test your controller methods as you get a response object that you can check for specific status codes and output messages rather than just a result value. Routing Again Ok, let’s get back to the image example. Using the original routing we have setup using HTTP Verb routing there's no good way to serve the image. In order to return my album art image I’d like to use a URL like this: http://localhost/aspnetWebApi/albums/Dirty%20Deeds/image In order to create a URL like this, I have to create a new Controller because my earlier routes pointed to the AlbumApiController using HTTP Verb routing. HTTP Verb based routing is great for representing a single set of resources such as albums. You can map operations like add, delete, update and read easily using HTTP Verbs. But you cannot mix action based routing into a an HTTP Verb routing controller - you can only map HTTP Verbs and each method has to be unique based on parameter signature. You can't have multiple GET operations to methods with the same signature. So GetImage(string id) and GetAlbum(string title) are in conflict in an HTTP GET routing scenario. In fact, I was unable to make the above Image URL work with any combination of HTTP Verb plus Custom routing using the single Albums controller. There are number of ways around this, but all involve additional controllers.  Personally, I think it’s easier to use explicit Action routing and then add custom routes if you need to simplify your URLs further. So in order to accommodate some of the other examples, I created another controller – AlbumRpcApiController – to handle all requests that are explicitly routed via actions (/albums/rpc/AlbumArt) or are custom routed with explicit routes defined in the HttpConfiguration. I added the AlbumArt() method to this new AlbumRpcApiController class. For the image URL to work with the new AlbumRpcApiController, you need a custom route placed before the default route from Listing 1.RouteTable.Routes.MapHttpRoute( name: "AlbumRpcApiAction", routeTemplate: "albums/rpc/{action}/{title}", defaults: new { title = RouteParameter.Optional, controller = "AlbumRpcApi", action = "GetAblums" } ); Now I can use either of the following URLs to access the image: Custom route: (/albums/rpc/{title}/image)http://localhost/aspnetWebApi/albums/PowerAge/image Action route: (/albums/rpc/action/{title})http://localhost/aspnetWebAPI/albums/rpc/albumart/PowerAge Sending Data to the Server To send data to the server and add a new album, you can use an HTTP POST operation. Since I’m using HTTP Verb-based routing in the original AlbumApiController, I can implement a method called PostAlbum()to accept a new album from the client. Listing 6 shows the Web API code to add a new album.public HttpResponseMessage PostAlbum(Album album) { if (!this.ModelState.IsValid) { // my custom error class var error = new ApiMessageError() { message = "Model is invalid" }; // add errors into our client error model for client foreach (var prop in ModelState.Values) { var modelError = prop.Errors.FirstOrDefault(); if (!string.IsNullOrEmpty(modelError.ErrorMessage)) error.errors.Add(modelError.ErrorMessage); else error.errors.Add(modelError.Exception.Message); } return Request.CreateResponse<ApiMessageError>(HttpStatusCode.Conflict, error); } // update song id which isn't provided foreach (var song in album.Songs) song.AlbumId = album.Id; // see if album exists already var matchedAlbum = AlbumData.Current .SingleOrDefault(alb => alb.Id == album.Id || alb.AlbumName == album.AlbumName); if (matchedAlbum == null) AlbumData.Current.Add(album); else matchedAlbum = album; // return a string to show that the value got here var resp = Request.CreateResponse(HttpStatusCode.OK, string.Empty); resp.Content = new StringContent(album.AlbumName + " " + album.Entered.ToString(), Encoding.UTF8, "text/plain"); return resp; } The PostAlbum() method receives an album parameter, which is automatically deserialized from the POST buffer the client sent. The data passed from the client can be either XML or JSON. Web API automatically figures out what format it needs to deserialize based on the content type and binds the content to the album object. Web API uses model binding to bind the request content to the parameter(s) of controller methods. Like MVC you can check the model by looking at ModelState.IsValid. If it’s not valid, you can run through the ModelState.Values collection and check each binding for errors. Here I collect the error messages into a string array that gets passed back to the client via the result ApiErrorMessage object. When a binding error occurs, you’ll want to return an HTTP error response and it’s best to do that with an HttpResponseMessage result. In Listing 6, I used a custom error class that holds a message and an array of detailed error messages for each binding error. I used this object as the content to return to the client along with my Conflict HTTP Status Code response. If binding succeeds, the example returns a string with the name and date entered to demonstrate that you captured the data. Normally, a method like this should return a Boolean or no response at all (HttpStatusCode.NoConent). The sample uses a simple static list to hold albums, so once you’ve added the album using the Post operation, you can hit the /albums/ URL to see that the new album was added. The client jQuery code to call the POST operation from the client with jQuery is shown in Listing 7. var id = new Date().getTime().toString(); var album = { "Id": id, "AlbumName": "Power Age", "Artist": "AC/DC", "YearReleased": 1977, "Entered": "2002-03-11T18:24:43.5580794-10:00", "AlbumImageUrl": http://ecx.images-amazon.com/images/…, "AmazonUrl": http://www.amazon.com/…, "Songs": [ { "SongName": "Rock 'n Roll Damnation", "SongLength": 3.12}, { "SongName": "Downpayment Blues", "SongLength": 4.22 }, { "SongName": "Riff Raff", "SongLength": 2.42 } ] } $.ajax( { url: "albums/", type: "POST", contentType: "application/json", data: JSON.stringify(album), processData: false, beforeSend: function (xhr) { // not required since JSON is default output xhr.setRequestHeader("Accept", "application/json"); }, success: function (result) { // reload list of albums page.loadAlbums(); }, error: function (xhr, status, p3, p4) { var err = "Error"; if (xhr.responseText && xhr.responseText[0] == "{") err = JSON.parse(xhr.responseText).message; alert(err); } }); The code in Listing 7 creates an album object in JavaScript to match the structure of the .NET Album class. This object is passed to the $.ajax() function to send to the server as POST. The data is turned into JSON and the content type set to application/json so that the server knows what to convert when deserializing in the Album instance. The jQuery code hooks up success and failure events. Success returns the result data, which is a string that’s echoed back with an alert box. If an error occurs, jQuery returns the XHR instance and status code. You can check the XHR to see if a JSON object is embedded and if it is, you can extract it by de-serializing it and accessing the .message property. REST standards suggest that updates to existing resources should use PUT operations. REST standards aside, I’m not a big fan of separating out inserts and updates so I tend to have a single method that handles both. But if you want to follow REST suggestions, you can create a PUT method that handles updates by forwarding the PUT operation to the POST method:public HttpResponseMessage PutAlbum(Album album) { return PostAlbum(album); } To make the corresponding $.ajax() call, all you have to change from Listing 7 is the type: from POST to PUT. Model Binding with UrlEncoded POST Variables In the example in Listing 7 I used JSON objects to post a serialized object to a server method that accepted an strongly typed object with the same structure, which is a common way to send data to the server. However, Web API supports a number of different ways that data can be received by server methods. For example, another common way is to use plain UrlEncoded POST  values to send to the server. Web API supports Model Binding that works similar (but not the same) as MVC's model binding where POST variables are mapped to properties of object parameters of the target method. This is actually quite common for AJAX calls that want to avoid serialization and the potential requirement of a JSON parser on older browsers. For example, using jQUery you might use the $.post() method to send a new album to the server (albeit one without songs) using code like the following:$.post("albums/",{AlbumName: "Dirty Deeds", YearReleased: 1976 … },albumPostCallback); Although the code looks very similar to the client code we used before passing JSON, here the data passed is URL encoded values (AlbumName=Dirty+Deeds&YearReleased=1976 etc.). Web API then takes this POST data and maps each of the POST values to the properties of the Album object in the method's parameter. Although the client code is different the server can both handle the JSON object, or the UrlEncoded POST values. Dynamic Access to POST Data There are also a few options available to dynamically access POST data, if you know what type of data you're dealing with. If you have POST UrlEncoded values, you can dynamically using a FormsDataCollection:[HttpPost] public string PostAlbum(FormDataCollection form) { return string.Format("{0} - released {1}", form.Get("AlbumName"),form.Get("RearReleased")); } The FormDataCollection is a very simple object, that essentially provides the same functionality as Request.Form[] in ASP.NET. Request.Form[] still works if you're running hosted in an ASP.NET application. However as a general rule, while ASP.NET's functionality is always available when running Web API hosted inside of an  ASP.NET application, using the built in classes specific to Web API makes it possible to run Web API applications in a self hosted environment outside of ASP.NET. If your client is sending JSON to your server, and you don't want to map the JSON to a strongly typed object because you only want to retrieve a few simple values, you can also accept a JObject parameter in your API methods:[HttpPost] public string PostAlbum(JObject jsonData) { dynamic json = jsonData; JObject jalbum = json.Album; JObject juser = json.User; string token = json.UserToken; var album = jalbum.ToObject<Album>(); var user = juser.ToObject<User>(); return String.Format("{0} {1} {2}", album.AlbumName, user.Name, token); } There quite a few options available to you to receive data with Web API, which gives you more choices for the right tool for the job. Unfortunately one shortcoming of Web API is that POST data is always mapped to a single parameter. This means you can't pass multiple POST parameters to methods that receive POST data. It's possible to accept multiple parameters, but only one can map to the POST content - the others have to come from the query string or route values. I have a couple of Blog POSTs that explain what works and what doesn't here: Passing multiple POST parameters to Web API Controller Methods Mapping UrlEncoded POST Values in ASP.NET Web API   Handling Delete Operations Finally, to round out the server API code of the album example we've been discussin, here’s the DELETE verb controller method that allows removal of an album by its title:public HttpResponseMessage DeleteAlbum(string title) { var matchedAlbum = AlbumData.Current.Where(alb => alb.AlbumName == title) .SingleOrDefault(); if (matchedAlbum == null) return new HttpResponseMessage(HttpStatusCode.NotFound); AlbumData.Current.Remove(matchedAlbum); return new HttpResponseMessage(HttpStatusCode.NoContent); } To call this action method using jQuery, you can use:$(".removeimage").live("click", function () { var $el = $(this).parent(".album"); var txt = $el.find("a").text(); $.ajax({ url: "albums/" + encodeURIComponent(txt), type: "Delete", success: function (result) { $el.fadeOut().remove(); }, error: jqError }); }   Note the use of the DELETE verb in the $.ajax() call, which routes to DeleteAlbum on the server. DELETE is a non-content operation, so you supply a resource ID (the title) via route value or the querystring. Routing Conflicts In all requests with the exception of the AlbumArt image example shown so far, I used HTTP Verb routing that I set up in Listing 1. HTTP Verb Routing is a recommendation that is in line with typical REST access to HTTP resources. However, it takes quite a bit of effort to create REST-compliant API implementations based only on HTTP Verb routing only. You saw one example that didn’t really fit – the return of an image where I created a custom route albums/{title}/image that required creation of a second controller and a custom route to work. HTTP Verb routing to a controller does not mix with custom or action routing to the same controller because of the limited mapping of HTTP verbs imposed by HTTP Verb routing. To understand some of the problems with verb routing, let’s look at another example. Let’s say you create a GetSortableAlbums() method like this and add it to the original AlbumApiController accessed via HTTP Verb routing:[HttpGet] public IQueryable<Album> SortableAlbums() { var albums = AlbumData.Current; // generally should be done only on actual queryable results (EF etc.) // Done here because we're running with a static list but otherwise might be slow return albums.AsQueryable(); } If you compile this code and try to now access the /albums/ link, you get an error: Multiple Actions were found that match the request. HTTP Verb routing only allows access to one GET operation per parameter/route value match. If more than one method exists with the same parameter signature, it doesn’t work. As I mentioned earlier for the image display, the only solution to get this method to work is to throw it into another controller. Because I already set up the AlbumRpcApiController I can add the method there. First, I should rename the method to SortableAlbums() so I’m not using a Get prefix for the method. This also makes the action parameter look cleaner in the URL - it looks less like a method and more like a noun. I can then create a new route that handles direct-action mapping:RouteTable.Routes.MapHttpRoute( name: "AlbumRpcApiAction", routeTemplate: "albums/rpc/{action}/{title}", defaults: new { title = RouteParameter.Optional, controller = "AlbumRpcApi", action = "GetAblums" } ); As I am explicitly adding a route segment – rpc – into the route template, I can now reference explicit methods in the Web API controller using URLs like this: http://localhost/AspNetWebApi/rpc/SortableAlbums Error Handling I’ve already done some minimal error handling in the examples. For example in Listing 6, I detected some known-error scenarios like model validation failing or a resource not being found and returning an appropriate HttpResponseMessage result. But what happens if your code just blows up or causes an exception? If you have a controller method, like this:[HttpGet] public void ThrowException() { throw new UnauthorizedAccessException("Unauthorized Access Sucka"); } You can call it with this: http://localhost/AspNetWebApi/albums/rpc/ThrowException The default exception handling displays a 500-status response with the serialized exception on the local computer only. When you connect from a remote computer, Web API throws back a 500  HTTP Error with no data returned (IIS then adds its HTML error page). The behavior is configurable in the GlobalConfiguration:GlobalConfiguration .Configuration .IncludeErrorDetailPolicy = IncludeErrorDetailPolicy.Never; If you want more control over your error responses sent from code, you can throw explicit error responses yourself using HttpResponseException. When you throw an HttpResponseException the response parameter is used to generate the output for the Controller action. [HttpGet] public void ThrowError() { var resp = Request.CreateResponse<ApiMessageError>( HttpStatusCode.BadRequest, new ApiMessageError("Your code stinks!")); throw new HttpResponseException(resp); } Throwing an HttpResponseException stops the processing of the controller method and immediately returns the response you passed to the exception. Unlike other Exceptions fired inside of WebAPI, HttpResponseException bypasses the Exception Filters installed and instead just outputs the response you provide. In this case, the serialized ApiMessageError result string is returned in the default serialization format – XML or JSON. You can pass any content to HttpResponseMessage, which includes creating your own exception objects and consistently returning error messages to the client. Here’s a small helper method on the controller that you might use to send exception info back to the client consistently:private void ThrowSafeException(string message, HttpStatusCode statusCode = HttpStatusCode.BadRequest) { var errResponse = Request.CreateResponse<ApiMessageError>(statusCode, new ApiMessageError() { message = message }); throw new HttpResponseException(errResponse); } You can then use it to output any captured errors from code:[HttpGet] public void ThrowErrorSafe() { try { List<string> list = null; list.Add("Rick"); } catch (Exception ex) { ThrowSafeException(ex.Message); } }   Exception Filters Another more global solution is to create an Exception Filter. Filters in Web API provide the ability to pre- and post-process controller method operations. An exception filter looks at all exceptions fired and then optionally creates an HttpResponseMessage result. Listing 8 shows an example of a basic Exception filter implementation.public class UnhandledExceptionFilter : ExceptionFilterAttribute { public override void OnException(HttpActionExecutedContext context) { HttpStatusCode status = HttpStatusCode.InternalServerError; var exType = context.Exception.GetType(); if (exType == typeof(UnauthorizedAccessException)) status = HttpStatusCode.Unauthorized; else if (exType == typeof(ArgumentException)) status = HttpStatusCode.NotFound; var apiError = new ApiMessageError() { message = context.Exception.Message }; // create a new response and attach our ApiError object // which now gets returned on ANY exception result var errorResponse = context.Request.CreateResponse<ApiMessageError>(status, apiError); context.Response = errorResponse; base.OnException(context); } } Exception Filter Attributes can be assigned to an ApiController class like this:[UnhandledExceptionFilter] public class AlbumRpcApiController : ApiController or you can globally assign it to all controllers by adding it to the HTTP Configuration's Filters collection:GlobalConfiguration.Configuration.Filters.Add(new UnhandledExceptionFilter()); The latter is a great way to get global error trapping so that all errors (short of hard IIS errors and explicit HttpResponseException errors) return a valid error response that includes error information in the form of a known-error object. Using a filter like this allows you to throw an exception as you normally would and have your filter create a response in the appropriate output format that the client expects. For example, an AJAX application can on failure expect to see a JSON error result that corresponds to the real error that occurred rather than a 500 error along with HTML error page that IIS throws up. You can even create some custom exceptions so you can differentiate your own exceptions from unhandled system exceptions - you often don't want to display error information from 'unknown' exceptions as they may contain sensitive system information or info that's not generally useful to users of your application/site. This is just one example of how ASP.NET Web API is configurable and extensible. Exception filters are just one example of how you can plug-in into the Web API request flow to modify output. Many more hooks exist and I’ll take a closer look at extensibility in Part 2 of this article in the future. Summary Web API is a big improvement over previous Microsoft REST and AJAX toolkits. The key features to its usefulness are its ease of use with simple controller based logic, familiar MVC-style routing, low configuration impact, extensibility at all levels and tight attention to exposing and making HTTP semantics easily discoverable and easy to use. Although none of the concepts used in Web API are new or radical, Web API combines the best of previous platforms into a single framework that’s highly functional, easy to work with, and extensible to boot. I think that Microsoft has hit a home run with Web API. Related Resources Where does ASP.NET Web API fit? Sample Source Code on GitHub Passing multiple POST parameters to Web API Controller Methods Mapping UrlEncoded POST Values in ASP.NET Web API Creating a JSONP Formatter for ASP.NET Web API Removing the XML Formatter from ASP.NET Web API Applications© Rick Strahl, West Wind Technologies, 2005-2012Posted in Web Api   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Analytic functions – they’re not aggregates

    - by Rob Farley
    SQL 2012 brings us a bunch of new analytic functions, together with enhancements to the OVER clause. People who have known me over the years will remember that I’m a big fan of the OVER clause and the types of things that it brings us when applied to aggregate functions, as well as the ranking functions that it enables. The OVER clause was introduced in SQL Server 2005, and remained frustratingly unchanged until SQL Server 2012. This post is going to look at a particular aspect of the analytic functions though (not the enhancements to the OVER clause). When I give presentations about the analytic functions around Australia as part of the tour of SQL Saturdays (starting in Brisbane this Thursday), and in Chicago next month, I’ll make sure it’s sufficiently well described. But for this post – I’m going to skip that and assume you get it. The analytic functions introduced in SQL 2012 seem to come in pairs – FIRST_VALUE and LAST_VALUE, LAG and LEAD, CUME_DIST and PERCENT_RANK, PERCENTILE_CONT and PERCENTILE_DISC. Perhaps frustratingly, they take slightly different forms as well. The ones I want to look at now are FIRST_VALUE and LAST_VALUE, and PERCENTILE_CONT and PERCENTILE_DISC. The reason I’m pulling this ones out is that they always produce the same result within their partitions (if you’re applying them to the whole partition). Consider the following query: SELECT     YEAR(OrderDate),     FIRST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING),     LAST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING),     PERCENTILE_CONT(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)),     PERCENTILE_DISC(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)) FROM Sales.SalesOrderHeader ; This is designed to get the TotalDue for the first order of the year, the last order of the year, and also the 95% percentile, using both the continuous and discrete methods (‘discrete’ means it picks the closest one from the values available – ‘continuous’ means it will happily use something between, similar to what you would do for a traditional median of four values). I’m sure you can imagine the results – a different value for each field, but within each year, all the rows the same. Notice that I’m not grouping by the year. Nor am I filtering. This query gives us a result for every row in the SalesOrderHeader table – 31465 in this case (using the original AdventureWorks that dates back to the SQL 2005 days). The RANGE BETWEEN bit in FIRST_VALUE and LAST_VALUE is needed to make sure that we’re considering all the rows available. If we don’t specify that, it assumes we only mean “RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW”, which means that LAST_VALUE ends up being the row we’re looking at. At this point you might think about other environments such as Access or Reporting Services, and remember aggregate functions like FIRST. We really should be able to do something like: SELECT     YEAR(OrderDate),     FIRST_VALUE(TotalDue)         OVER (PARTITION BY YEAR(OrderDate)               ORDER BY OrderDate, SalesOrderID               RANGE BETWEEN UNBOUNDED PRECEDING                         AND UNBOUNDED FOLLOWING) FROM Sales.SalesOrderHeader GROUP BY YEAR(OrderDate) ; But you can’t. You get that age-old error: Msg 8120, Level 16, State 1, Line 5 Column 'Sales.SalesOrderHeader.OrderDate' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. Msg 8120, Level 16, State 1, Line 5 Column 'Sales.SalesOrderHeader.SalesOrderID' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. Hmm. You see, FIRST_VALUE isn’t an aggregate function. None of these analytic functions are. There are too many things involved for SQL to realise that the values produced might be identical within the group. Furthermore, you can’t even surround it in a MAX. Then you get a different error, telling you that you can’t use windowed functions in the context of an aggregate. And so we end up grouping by doing a DISTINCT. SELECT DISTINCT     YEAR(OrderDate),         FIRST_VALUE(TotalDue)              OVER (PARTITION BY YEAR(OrderDate)                   ORDER BY OrderDate, SalesOrderID                   RANGE BETWEEN UNBOUNDED PRECEDING                             AND UNBOUNDED FOLLOWING),         LAST_VALUE(TotalDue)             OVER (PARTITION BY YEAR(OrderDate)                   ORDER BY OrderDate, SalesOrderID                   RANGE BETWEEN UNBOUNDED PRECEDING                             AND UNBOUNDED FOLLOWING),     PERCENTILE_CONT(0.95)          WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)),     PERCENTILE_DISC(0.95)         WITHIN GROUP (ORDER BY TotalDue)         OVER (PARTITION BY YEAR(OrderDate)) FROM Sales.SalesOrderHeader ; I’m sorry. It’s just the way it goes. Hopefully it’ll change the future, but for now, it’s what you’ll have to do. If we look in the execution plan, we see that it’s incredibly ugly, and actually works out the results of these analytic functions for all 31465 rows, finally performing the distinct operation to convert it into the four rows we get in the results. You might be able to achieve a better plan using things like TOP, or the kind of calculation that I used in http://sqlblog.com/blogs/rob_farley/archive/2011/08/23/t-sql-thoughts-about-the-95th-percentile.aspx (which is how PERCENTILE_CONT works), but it’s definitely convenient to use these functions, and in time, I’m sure we’ll see good improvements in the way that they are implemented. Oh, and this post should be good for fellow SQL Server MVP Nigel Sammy’s T-SQL Tuesday this month.

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  • Using a "white list" for extracting terms for Text Mining

    - by [email protected]
    In Part 1 of my post on "Generating cluster names from a document clustering model" (part 1, part 2, part 3), I showed how to build a clustering model from text documents using Oracle Data Miner, which automates preparing data for text mining. In this process we specified a custom stoplist and lexer and relied on Oracle Text to identify important terms.  However, there is an alternative approach, the white list, which uses a thesaurus object with the Oracle Text CTXRULE index to allow you to specify the important terms. INTRODUCTIONA stoplist is used to exclude, i.e., black list, specific words in your documents from being indexed. For example, words like a, if, and, or, and but normally add no value when text mining. Other words can also be excluded if they do not help to differentiate documents, e.g., the word Oracle is ubiquitous in the Oracle product literature. One problem with stoplists is determining which words to specify. This usually requires inspecting the terms that are extracted, manually identifying which ones you don't want, and then re-indexing the documents to determine if you missed any. Since a corpus of documents could contain thousands of words, this could be a tedious exercise. Moreover, since every word is considered as an individual token, a term excluded in one context may be needed to help identify a term in another context. For example, in our Oracle product literature example, the words "Oracle Data Mining" taken individually are not particular helpful. The term "Oracle" may be found in nearly all documents, as with the term "Data." The term "Mining" is more unique, but could also refer to the Mining industry. If we exclude "Oracle" and "Data" by specifying them in the stoplist, we lose valuable information. But it we include them, they may introduce too much noise. Still, when you have a broad vocabulary or don't have a list of specific terms of interest, you rely on the text engine to identify important terms, often by computing the term frequency - inverse document frequency metric. (This is effectively a weight associated with each term indicating its relative importance in a document within a collection of documents. We'll revisit this later.) The results using this technique is often quite valuable. As noted above, an alternative to the subtractive nature of the stoplist is to specify a white list, or a list of terms--perhaps multi-word--that we want to extract and use for data mining. The obvious downside to this approach is the need to specify the set of terms of interest. However, this may not be as daunting a task as it seems. For example, in a given domain (Oracle product literature), there is often a recognized glossary, or a list of keywords and phrases (Oracle product names, industry names, product categories, etc.). Being able to identify multi-word terms, e.g., "Oracle Data Mining" or "Customer Relationship Management" as a single token can greatly increase the quality of the data mining results. The remainder of this post and subsequent posts will focus on how to produce a dataset that contains white list terms, suitable for mining. CREATING A WHITE LIST We'll leverage the thesaurus capability of Oracle Text. Using a thesaurus, we create a set of rules that are in effect our mapping from single and multi-word terms to the tokens used to represent those terms. For example, "Oracle Data Mining" becomes "ORACLEDATAMINING." First, we'll create and populate a mapping table called my_term_token_map. All text has been converted to upper case and values in the TERM column are intended to be mapped to the token in the TOKEN column. TERM                                TOKEN DATA MINING                         DATAMINING ORACLE DATA MINING                  ORACLEDATAMINING 11G                                 ORACLE11G JAVA                                JAVA CRM                                 CRM CUSTOMER RELATIONSHIP MANAGEMENT    CRM ... Next, we'll create a thesaurus object my_thesaurus and a rules table my_thesaurus_rules: CTX_THES.CREATE_THESAURUS('my_thesaurus', FALSE); CREATE TABLE my_thesaurus_rules (main_term     VARCHAR2(100),                                  query_string  VARCHAR2(400)); We next populate the thesaurus object and rules table using the term token map. A cursor is defined over my_term_token_map. As we iterate over  the rows, we insert a synonym relationship 'SYN' into the thesaurus. We also insert into the table my_thesaurus_rules the main term, and the corresponding query string, which specifies synonyms for the token in the thesaurus. DECLARE   cursor c2 is     select token, term     from my_term_token_map; BEGIN   for r_c2 in c2 loop     CTX_THES.CREATE_RELATION('my_thesaurus',r_c2.token,'SYN',r_c2.term);     EXECUTE IMMEDIATE 'insert into my_thesaurus_rules values                        (:1,''SYN(' || r_c2.token || ', my_thesaurus)'')'     using r_c2.token;   end loop; END; We are effectively inserting the token to return and the corresponding query that will look up synonyms in our thesaurus into the my_thesaurus_rules table, for example:     'ORACLEDATAMINING'        SYN ('ORACLEDATAMINING', my_thesaurus)At this point, we create a CTXRULE index on the my_thesaurus_rules table: create index my_thesaurus_rules_idx on        my_thesaurus_rules(query_string)        indextype is ctxsys.ctxrule; In my next post, this index will be used to extract the tokens that match each of the rules specified. We'll then compute the tf-idf weights for each of the terms and create a nested table suitable for mining.

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  • Listing common SQL Code Smells.

    - by Phil Factor
    Once you’ve done a number of SQL Code-reviews, you’ll know those signs in the code that all might not be well. These ’Code Smells’ are coding styles that don’t directly cause a bug, but are indicators that all is not well with the code. . Kent Beck and Massimo Arnoldi seem to have coined the phrase in the "OnceAndOnlyOnce" page of www.C2.com, where Kent also said that code "wants to be simple". Bad Smells in Code was an essay by Kent Beck and Martin Fowler, published as Chapter 3 of the book ‘Refactoring: Improving the Design of Existing Code’ (ISBN 978-0201485677) Although there are generic code-smells, SQL has its own particular coding habits that will alert the programmer to the need to re-factor what has been written. See Exploring Smelly Code   and Code Deodorants for Code Smells by Nick Harrison for a grounding in Code Smells in C# I’ve always been tempted by the idea of automating a preliminary code-review for SQL. It would be so useful to trawl through code and pick up the various problems, much like the classic ‘Lint’ did for C, and how the Code Metrics plug-in for .NET Reflector by Jonathan 'Peli' de Halleux is used for finding Code Smells in .NET code. The problem is that few of the standard procedural code smells are relevant to SQL, and we need an agreed list of code smells. Merrilll Aldrich made a grand start last year in his blog Top 10 T-SQL Code Smells.However, I'd like to make a start by discovering if there is a general opinion amongst Database developers what the most important SQL Smells are. One can be a bit defensive about code smells. I will cheerfully write very long stored procedures, even though they are frowned on. I’ll use dynamic SQL occasionally. You can only use them as an aid for your own judgment and it is fine to ‘sign them off’ as being appropriate in particular circumstances. Also, whole classes of ‘code smells’ may be irrelevant for a particular database. The use of proprietary SQL, for example, is only a ‘code smell’ if there is a chance that the database will have to be ported to another RDBMS. The use of dynamic SQL is a risk only with certain security models. As the saying goes,  a CodeSmell is a hint of possible bad practice to a pragmatist, but a sure sign of bad practice to a purist. Plamen Ratchev’s wonderful article Ten Common SQL Programming Mistakes lists some of these ‘code smells’ along with out-and-out mistakes, but there are more. The use of nested transactions, for example, isn’t entirely incorrect, even though the database engine ignores all but the outermost: but it does flag up the possibility that the programmer thinks that nested transactions are supported. If anything requires some sort of general agreement, the definition of code smells is one. I’m therefore going to make this Blog ‘dynamic, in that, if anyone twitters a suggestion with a #SQLCodeSmells tag (or sends me a twitter) I’ll update the list here. If you add a comment to the blog with a suggestion of what should be added or removed, I’ll do my best to oblige. In other words, I’ll try to keep this blog up to date. The name against each 'smell' is the name of the person who Twittered me, commented about or who has written about the 'smell'. it does not imply that they were the first ever to think of the smell! Use of deprecated syntax such as *= (Dave Howard) Denormalisation that requires the shredding of the contents of columns. (Merrill Aldrich) Contrived interfaces Use of deprecated datatypes such as TEXT/NTEXT (Dave Howard) Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) The use of Hints in queries, especially NOLOCK (Dave Howard /Mike Reigler) Few or No comments. Use of functions in a WHERE clause. (Anil Das) Overuse of scalar UDFs (Dave Howard, Plamen Ratchev) Excessive ‘overloading’ of routines. The use of Exec xp_cmdShell (Merrill Aldrich) Excessive use of brackets. (Dave Levy) Lack of the use of a semicolon to terminate statements Use of non-SARGable functions on indexed columns in predicates (Plamen Ratchev) Duplicated code, or strikingly similar code. Misuse of SELECT * (Plamen Ratchev) Overuse of Cursors (Everyone. Special mention to Dave Levy & Adrian Hills) Overuse of CLR routines when not necessary (Sam Stange) Same column name in different tables with different datatypes. (Ian Stirk) Use of ‘broken’ functions such as ‘ISNUMERIC’ without additional checks. Excessive use of the WHILE loop (Merrill Aldrich) INSERT ... EXEC (Merrill Aldrich) The use of stored procedures where a view is sufficient (Merrill Aldrich) Not using two-part object names (Merrill Aldrich) Using INSERT INTO without specifying the columns and their order (Merrill Aldrich) Full outer joins even when they are not needed. (Plamen Ratchev) Huge stored procedures (hundreds/thousands of lines). Stored procedures that can produce different columns, or order of columns in their results, depending on the inputs. Code that is never used. Complex and nested conditionals WHILE (not done) loops without an error exit. Variable name same as the Datatype Vague identifiers. Storing complex data  or list in a character map, bitmap or XML field User procedures with sp_ prefix (Aaron Bertrand)Views that reference views that reference views that reference views (Aaron Bertrand) Inappropriate use of sql_variant (Neil Hambly) Errors with identity scope using SCOPE_IDENTITY @@IDENTITY or IDENT_CURRENT (Neil Hambly, Aaron Bertrand) Schemas that involve multiple dated copies of the same table instead of partitions (Matt Whitfield-Atlantis UK) Scalar UDFs that do data lookups (poor man's join) (Matt Whitfield-Atlantis UK) Code that allows SQL Injection (Mladen Prajdic) Tables without clustered indexes (Matt Whitfield-Atlantis UK) Use of "SELECT DISTINCT" to mask a join problem (Nick Harrison) Multiple stored procedures with nearly identical implementation. (Nick Harrison) Excessive column aliasing may point to a problem or it could be a mapping implementation. (Nick Harrison) Joining "too many" tables in a query. (Nick Harrison) Stored procedure returning more than one record set. (Nick Harrison) A NOT LIKE condition (Nick Harrison) excessive "OR" conditions. (Nick Harrison) User procedures with sp_ prefix (Aaron Bertrand) Views that reference views that reference views that reference views (Aaron Bertrand) sp_OACreate or anything related to it (Bill Fellows) Prefixing names with tbl_, vw_, fn_, and usp_ ('tibbling') (Jeremiah Peschka) Aliases that go a,b,c,d,e... (Dave Levy/Diane McNurlan) Overweight Queries (e.g. 4 inner joins, 8 left joins, 4 derived tables, 10 subqueries, 8 clustered GUIDs, 2 UDFs, 6 case statements = 1 query) (Robert L Davis) Order by 3,2 (Dave Levy) MultiStatement Table functions which are then filtered 'Sel * from Udf() where Udf.Col = Something' (Dave Ballantyne) running a SQL 2008 system in SQL 2000 compatibility mode(John Stafford)

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  • Using Table-Valued Parameters in SQL Server

    - by Jesse
    I work with stored procedures in SQL Server pretty frequently and have often found myself with a need to pass in a list of values at run-time. Quite often this list contains a set of ids on which the stored procedure needs to operate the size and contents of which are not known at design time. In the past I’ve taken the collection of ids (which are usually integers), converted them to a string representation where each value is separated by a comma and passed that string into a VARCHAR parameter of a stored procedure. The body of the stored procedure would then need to parse that string into a table variable which could be easily consumed with set-based logic within the rest of the stored procedure. This approach works pretty well but the VARCHAR variable has always felt like an un-wanted “middle man” in this scenario. Of course, I could use a BULK INSERT operation to load the list of ids into a temporary table that the stored procedure could use, but that approach seems heavy-handed in situations where the list of values is usually going to contain only a few dozen values. Fortunately SQL Server 2008 introduced the concept of table-valued parameters which effectively eliminates the need for the clumsy middle man VARCHAR parameter. Example: Customer Transaction Summary Report Let’s say we have a report that can summarize the the transactions that we’ve conducted with customers over a period of time. The report returns a pretty simple dataset containing one row per customer with some key metrics about how much business that customer has conducted over the date range for which the report is being run. Sometimes the report is run for a single customer, sometimes it’s run for all customers, and sometimes it’s run for a handful of customers (i.e. a salesman runs it for the customers that fall into his sales territory). This report can be invoked from a website on-demand, or it can be scheduled for periodic delivery to certain users via SQL Server Reporting Services. Because the report can be created from different places and the query to generate the report is complex it’s been packed into a stored procedure that accepts three parameters: @startDate – The beginning of the date range for which the report should be run. @endDate – The end of the date range for which the report should be run. @customerIds – The customer Ids for which the report should be run. Obviously, the @startDate and @endDate parameters are DATETIME variables. The @customerIds parameter, however, needs to contain a list of the identity values (primary key) from the Customers table representing the customers that were selected for this particular run of the report. In prior versions of SQL Server we might have made this parameter a VARCHAR variable, but with SQL Server 2008 we can make it into a table-valued parameter. Defining And Using The Table Type In order to use a table-valued parameter, we first need to tell SQL Server about what the table will look like. We do this by creating a user defined type. For the purposes of this stored procedure we need a very simple type to model a table variable with a single integer column. We can create a generic type called ‘IntegerListTableType’ like this: CREATE TYPE IntegerListTableType AS TABLE (Value INT NOT NULL) Once defined, we can use this new type to define the @customerIds parameter in the signature of our stored procedure. The parameter list for the stored procedure definition might look like: 1: CREATE PROCEDURE dbo.rpt_CustomerTransactionSummary 2: @starDate datetime, 3: @endDate datetime, 4: @customerIds IntegerListTableTableType READONLY   Note the ‘READONLY’ statement following the declaration of the @customerIds parameter. SQL Server requires any table-valued parameter be marked as ‘READONLY’ and no DML (INSERT/UPDATE/DELETE) statements can be performed on a table-valued parameter within the routine in which it’s used. Aside from the DML restriction, however, you can do pretty much anything with a table-valued parameter as you could with a normal TABLE variable. With the user defined type and stored procedure defined as above, we could invoke like this: 1: DECLARE @cusomterIdList IntegerListTableType 2: INSERT @customerIdList VALUES (1) 3: INSERT @customerIdList VALUES (2) 4: INSERT @customerIdList VALUES (3) 5:  6: EXEC dbo.rpt_CustomerTransationSummary 7: @startDate = '2012-05-01', 8: @endDate = '2012-06-01' 9: @customerIds = @customerIdList   Note that we can simply declare a variable of type ‘IntegerListTableType’ just like any other normal variable and insert values into it just like a TABLE variable. We could also populate the variable with a SELECT … INTO or INSERT … SELECT statement if desired. Using The Table-Valued Parameter With ADO .NET Invoking a stored procedure with a table-valued parameter from ADO .NET is as simple as building a DataTable and passing it in as the Value of a SqlParameter. Here’s some example code for how we would construct the SqlParameter for the @customerIds parameter in our stored procedure: 1: var customerIdsParameter = new SqlParameter(); 2: customerIdParameter.Direction = ParameterDirection.Input; 3: customerIdParameter.TypeName = "IntegerListTableType"; 4: customerIdParameter.Value = selectedCustomerIds.ToIntegerListDataTable("Value");   All we’re doing here is new’ing up an instance of SqlParameter, setting the pamameters direction, specifying the name of the User Defined Type that this parameter uses, and setting its value. We’re assuming here that we have an IEnumerable<int> variable called ‘selectedCustomerIds’ containing all of the customer Ids for which the report should be run. The ‘ToIntegerListDataTable’ method is an extension method of the IEnumerable<int> type that looks like this: 1: public static DataTable ToIntegerListDataTable(this IEnumerable<int> intValues, string columnName) 2: { 3: var intergerListDataTable = new DataTable(); 4: intergerListDataTable.Columns.Add(columnName); 5: foreach(var intValue in intValues) 6: { 7: var nextRow = intergerListDataTable.NewRow(); 8: nextRow[columnName] = intValue; 9: intergerListDataTable.Rows.Add(nextRow); 10: } 11:  12: return intergerListDataTable; 13: }   Since the ‘IntegerListTableType’ has a single int column called ‘Value’, we pass that in for the ‘columnName’ parameter to the extension method. The method creates a new single-columned DataTable using the provided column name then iterates over the items in the IEnumerable<int> instance adding one row for each value. We can then use this SqlParameter instance when invoking the stored procedure just like we would use any other parameter. Advanced Functionality Using passing a list of integers into a stored procedure is a very simple usage scenario for the table-valued parameters feature, but I’ve found that it covers the majority of situations where I’ve needed to pass a collection of data for use in a query at run-time. I should note that BULK INSERT feature still makes sense for passing large amounts of data to SQL Server for processing. MSDN seems to suggest that 1000 rows of data is the tipping point where the overhead of a BULK INSERT operation can pay dividends. I should also note here that table-valued parameters can be used to deal with more complex data structures than single-columned tables of integers. A User Defined Type that backs a table-valued parameter can use things like identities and computed columns. That said, using some of these more advanced features might require the use the SqlDataRecord and SqlMetaData classes instead of a simple DataTable. Erland Sommarskog has a great article on his website that describes when and how to use these classes for table-valued parameters. What About Reporting Services? Earlier in the post I referenced the fact that our example stored procedure would be called from both a web application and a SQL Server Reporting Services report. Unfortunately, using table-valued parameters from SSRS reports can be a bit tricky and warrants its own blog post which I’ll be putting together and posting sometime in the near future.

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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • The Shift: how Orchard painlessly shifted to document storage, and how it’ll affect you

    - by Bertrand Le Roy
    We’ve known it all along. The storage for Orchard content items would be much more efficient using a document database than a relational one. Orchard content items are composed of parts that serialize naturally into infoset kinds of documents. Storing them as relational data like we’ve done so far was unnatural and requires the data for a single item to span multiple tables, related through 1-1 relationships. This means lots of joins in queries, and a great potential for Select N+1 problems. Document databases, unfortunately, are still a tough sell in many places that prefer the more familiar relational model. Being able to x-copy Orchard to hosters has also been a basic constraint in the design of Orchard. Combine those with the necessity at the time to run in medium trust, and with license compatibility issues, and you’ll find yourself with very few reasonable choices. So we went, a little reluctantly, for relational SQL stores, with the dream of one day transitioning to document storage. We have played for a while with the idea of building our own document storage on top of SQL databases, and Sébastien implemented something more than decent along those lines, but we had a better way all along that we didn’t notice until recently… In Orchard, there are fields, which are named properties that you can add dynamically to a content part. Because they are so dynamic, we have been storing them as XML into a column on the main content item table. This infoset storage and its associated API are fairly generic, but were only used for fields. The breakthrough was when Sébastien realized how this existing storage could give us the advantages of document storage with minimal changes, while continuing to use relational databases as the substrate. public bool CommercialPrices { get { return this.Retrieve(p => p.CommercialPrices); } set { this.Store(p => p.CommercialPrices, value); } } This code is very compact and efficient because the API can infer from the expression what the type and name of the property are. It is then able to do the proper conversions for you. For this code to work in a content part, there is no need for a record at all. This is particularly nice for site settings: one query on one table and you get everything you need. This shows how the existing infoset solves the data storage problem, but you still need to query. Well, for those properties that need to be filtered and sorted on, you can still use the current record-based relational system. This of course continues to work. We do however provide APIs that make it trivial to store into both record properties and the infoset storage in one operation: public double Price { get { return Retrieve(r => r.Price); } set { Store(r => r.Price, value); } } This code looks strikingly similar to the non-record case above. The difference is that it will manage both the infoset and the record-based storages. The call to the Store method will send the data in both places, keeping them in sync. The call to the Retrieve method does something even cooler: if the property you’re looking for exists in the infoset, it will return it, but if it doesn’t, it will automatically look into the record for it. And if that wasn’t cool enough, it will take that value from the record and store it into the infoset for the next time it’s required. This means that your data will start automagically migrating to infoset storage just by virtue of using the code above instead of the usual: public double Price { get { return Record.Price; } set { Record.Price = value; } } As your users browse the site, it will get faster and faster as Select N+1 issues will optimize themselves away. If you preferred, you could still have explicit migration code, but it really shouldn’t be necessary most of the time. If you do already have code using QueryHints to mitigate Select N+1 issues, you might want to reconsider those, as with the new system, you’ll want to avoid joins that you don’t need for filtering or sorting, further optimizing your queries. There are some rare cases where the storage of the property must be handled differently. Check out this string[] property on SearchSettingsPart for example: public string[] SearchedFields { get { return (Retrieve<string>("SearchedFields") ?? "") .Split(new[] {',', ' '}, StringSplitOptions.RemoveEmptyEntries); } set { Store("SearchedFields", String.Join(", ", value)); } } The array of strings is transformed by the property accessors into and from a comma-separated list stored in a string. The Retrieve and Store overloads used in this case are lower-level versions that explicitly specify the type and name of the attribute to retrieve or store. You may be wondering what this means for code or operations that look directly at the database tables instead of going through the new infoset APIs. Even if there is a record, the infoset version of the property will win if it exists, so it is necessary to keep the infoset up-to-date. It’s not very complicated, but definitely something to keep in mind. Here is what a product record looks like in Nwazet.Commerce for example: And here is the same data in the infoset: The infoset is stored in Orchard_Framework_ContentItemRecord or Orchard_Framework_ContentItemVersionRecord, depending on whether the content type is versionable or not. A good way to find what you’re looking for is to inspect the record table first, as it’s usually easier to read, and then get the item record of the same id. Here is the detailed XML document for this product: <Data> <ProductPart Inventory="40" Price="18" Sku="pi-camera-box" OutOfStockMessage="" AllowBackOrder="false" Weight="0.2" Size="" ShippingCost="null" IsDigital="false" /> <ProductAttributesPart Attributes="" /> <AutoroutePart DisplayAlias="camera-box" /> <TitlePart Title="Nwazet Pi Camera Box" /> <BodyPart Text="[...]" /> <CommonPart CreatedUtc="2013-09-10T00:39:00Z" PublishedUtc="2013-09-14T01:07:47Z" /> </Data> The data is neatly organized under each part. It is easy to see how that document is all you need to know about that content item, all in one table. If you want to modify that data directly in the database, you should be careful to do it in both the record table and the infoset in the content item record. In this configuration, the record is now nothing more than an index, and will only be used for sorting and filtering. Of course, it’s perfectly fine to mix record-backed properties and record-less properties on the same part. It really depends what you think must be sorted and filtered on. In turn, this potentially simplifies migrations considerably. So here it is, the great shift of Orchard to document storage, something that Orchard has been designed for all along, and that we were able to implement with a satisfying and surprising economy of resources. Expect this code to make its way into the 1.8 version of Orchard when that’s available.

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  • Extending Oracle CEP with Predictive Analytics

    - by vikram.shukla(at)oracle.com
    Introduction: OCEP is often used as a business rules engine to execute a set of business logic rules via CQL statements, and take decisions based on the outcome of those rules. There are times where configuring rules manually is sufficient because an application needs to deal with only a small and well-defined set of static rules. However, in many situations customers don't want to pre-define such rules for two reasons. First, they are dealing with events with lots of columns and manually crafting such rules for each column or a set of columns and combinations thereof is almost impossible. Second, they are content with probabilistic outcomes and do not care about 100% precision. The former is the case when a user is dealing with data with high dimensionality, the latter when an application can live with "false" positives as they can be discarded after further inspection, say by a Human Task component in a Business Process Management software. The primary goal of this blog post is to show how this can be achieved by combining OCEP with Oracle Data Mining® and leveraging the latter's rich set of algorithms and functionality to do predictive analytics in real time on streaming events. The secondary goal of this post is also to show how OCEP can be extended to invoke any arbitrary external computation in an RDBMS from within CEP. The extensible facility is known as the JDBC cartridge. The rest of the post describes the steps required to achieve this: We use the dataset available at http://blogs.oracle.com/datamining/2010/01/fraud_and_anomaly_detection_made_simple.html to showcase the capabilities. We use it to show how transaction anomalies or fraud can be detected. Building the model: Follow the self-explanatory steps described at the above URL to build the model.  It is very simple - it uses built-in Oracle Data Mining PL/SQL packages to cleanse, normalize and build the model out of the dataset.  You can also use graphical Oracle Data Miner®  to build the models. To summarize, it involves: Specifying which algorithms to use. In this case we use Support Vector Machines as we're trying to find anomalies in highly dimensional dataset.Build model on the data in the table for the algorithms specified. For this example, the table was populated in the scott/tiger schema with appropriate privileges. Configuring the Data Source: This is the first step in building CEP application using such an integration.  Our datasource looks as follows in the server config file.  It is advisable that you use the Visualizer to add it to the running server dynamically, rather than manually edit the file.    <data-source>         <name>DataMining</name>         <data-source-params>             <jndi-names>                 <element>DataMining</element>             </jndi-names>             <global-transactions-protocol>OnePhaseCommit</global-transactions-protocol>         </data-source-params>         <connection-pool-params>             <credential-mapping-enabled></credential-mapping-enabled>             <test-table-name>SQL SELECT 1 from DUAL</test-table-name>             <initial-capacity>1</initial-capacity>             <max-capacity>15</max-capacity>             <capacity-increment>1</capacity-increment>         </connection-pool-params>         <driver-params>             <use-xa-data-source-interface>true</use-xa-data-source-interface>             <driver-name>oracle.jdbc.OracleDriver</driver-name>             <url>jdbc:oracle:thin:@localhost:1522:orcl</url>             <properties>                 <element>                     <value>scott</value>                     <name>user</name>                 </element>                 <element>                     <value>{Salted-3DES}AzFE5dDbO2g=</value>                     <name>password</name>                 </element>                                 <element>                     <name>com.bea.core.datasource.serviceName</name>                     <value>oracle11.2g</value>                 </element>                 <element>                     <name>com.bea.core.datasource.serviceVersion</name>                     <value>11.2.0</value>                 </element>                 <element>                     <name>com.bea.core.datasource.serviceObjectClass</name>                     <value>java.sql.Driver</value>                 </element>             </properties>         </driver-params>     </data-source>   Designing the EPN: The EPN is very simple in this example. We briefly describe each of the components. The adapter ("DataMiningAdapter") reads data from a .csv file and sends it to the CQL processor downstream. The event payload here is same as that of the table in the database (refer to the attached project or do a "desc table-name" from a SQL*PLUS prompt). While this is for convenience in this example, it need not be the case. One can still omit fields in the streaming events, and need not match all columns in the table on which the model was built. Better yet, it does not even need to have the same name as columns in the table, as long as you alias them in the USING clause of the mining function. (Caveat: they still need to draw values from a similar universe or domain, otherwise it constitutes incorrect usage of the model). There are two things in the CQL processor ("DataMiningProc") that make scoring possible on streaming events. 1.      User defined cartridge function Please refer to the OCEP CQL reference manual to find more details about how to define such functions. We include the function below in its entirety for illustration. <?xml version="1.0" encoding="UTF-8"?> <jdbcctxconfig:config     xmlns:jdbcctxconfig="http://www.bea.com/ns/wlevs/config/application"     xmlns:jc="http://www.oracle.com/ns/ocep/config/jdbc">        <jc:jdbc-ctx>         <name>Oracle11gR2</name>         <data-source>DataMining</data-source>               <function name="prediction2">                                 <param name="CQLMONTH" type="char"/>                      <param name="WEEKOFMONTH" type="int"/>                      <param name="DAYOFWEEK" type="char" />                      <param name="MAKE" type="char" />                      <param name="ACCIDENTAREA"   type="char" />                      <param name="DAYOFWEEKCLAIMED"  type="char" />                      <param name="MONTHCLAIMED" type="char" />                      <param name="WEEKOFMONTHCLAIMED" type="int" />                      <param name="SEX" type="char" />                      <param name="MARITALSTATUS"   type="char" />                      <param name="AGE" type="int" />                      <param name="FAULT" type="char" />                      <param name="POLICYTYPE"   type="char" />                      <param name="VEHICLECATEGORY"  type="char" />                      <param name="VEHICLEPRICE" type="char" />                      <param name="FRAUDFOUND" type="int" />                      <param name="POLICYNUMBER" type="int" />                      <param name="REPNUMBER" type="int" />                      <param name="DEDUCTIBLE"   type="int" />                      <param name="DRIVERRATING"  type="int" />                      <param name="DAYSPOLICYACCIDENT"   type="char" />                      <param name="DAYSPOLICYCLAIM" type="char" />                      <param name="PASTNUMOFCLAIMS" type="char" />                      <param name="AGEOFVEHICLES" type="char" />                      <param name="AGEOFPOLICYHOLDER" type="char" />                      <param name="POLICEREPORTFILED" type="char" />                      <param name="WITNESSPRESNT" type="char" />                      <param name="AGENTTYPE" type="char" />                      <param name="NUMOFSUPP" type="char" />                      <param name="ADDRCHGCLAIM"   type="char" />                      <param name="NUMOFCARS" type="char" />                      <param name="CQLYEAR" type="int" />                      <param name="BASEPOLICY" type="char" />                                     <return-component-type>char</return-component-type>                                                      <sql><![CDATA[             SELECT to_char(PREDICTION_PROBABILITY(CLAIMSMODEL, '0' USING *))               AS probability             FROM (SELECT  :CQLMONTH AS MONTH,                                            :WEEKOFMONTH AS WEEKOFMONTH,                          :DAYOFWEEK AS DAYOFWEEK,                           :MAKE AS MAKE,                           :ACCIDENTAREA AS ACCIDENTAREA,                           :DAYOFWEEKCLAIMED AS DAYOFWEEKCLAIMED,                           :MONTHCLAIMED AS MONTHCLAIMED,                           :WEEKOFMONTHCLAIMED,                             :SEX AS SEX,                           :MARITALSTATUS AS MARITALSTATUS,                            :AGE AS AGE,                           :FAULT AS FAULT,                           :POLICYTYPE AS POLICYTYPE,                            :VEHICLECATEGORY AS VEHICLECATEGORY,                           :VEHICLEPRICE AS VEHICLEPRICE,                           :FRAUDFOUND AS FRAUDFOUND,                           :POLICYNUMBER AS POLICYNUMBER,                           :REPNUMBER AS REPNUMBER,                           :DEDUCTIBLE AS DEDUCTIBLE,                            :DRIVERRATING AS DRIVERRATING,                           :DAYSPOLICYACCIDENT AS DAYSPOLICYACCIDENT,                            :DAYSPOLICYCLAIM AS DAYSPOLICYCLAIM,                           :PASTNUMOFCLAIMS AS PASTNUMOFCLAIMS,                           :AGEOFVEHICLES AS AGEOFVEHICLES,                           :AGEOFPOLICYHOLDER AS AGEOFPOLICYHOLDER,                           :POLICEREPORTFILED AS POLICEREPORTFILED,                           :WITNESSPRESNT AS WITNESSPRESENT,                           :AGENTTYPE AS AGENTTYPE,                           :NUMOFSUPP AS NUMOFSUPP,                           :ADDRCHGCLAIM AS ADDRCHGCLAIM,                            :NUMOFCARS AS NUMOFCARS,                           :CQLYEAR AS YEAR,                           :BASEPOLICY AS BASEPOLICY                 FROM dual)                 ]]>         </sql>        </function>     </jc:jdbc-ctx> </jdbcctxconfig:config> 2.      Invoking the function for each event. Once this function is defined, you can invoke it from CQL as follows: <?xml version="1.0" encoding="UTF-8"?> <wlevs:config xmlns:wlevs="http://www.bea.com/ns/wlevs/config/application">   <processor>     <name>DataMiningProc</name>     <rules>        <query id="q1"><![CDATA[                     ISTREAM(SELECT S.CQLMONTH,                                   S.WEEKOFMONTH,                                   S.DAYOFWEEK, S.MAKE,                                   :                                         S.BASEPOLICY,                                    C.F AS probability                                                 FROM                                 StreamDataChannel [NOW] AS S,                                 TABLE(prediction2@Oracle11gR2(S.CQLMONTH,                                      S.WEEKOFMONTH,                                      S.DAYOFWEEK,                                       S.MAKE, ...,                                      S.BASEPOLICY) AS F of char) AS C)                       ]]></query>                 </rules>               </processor>           </wlevs:config>   Finally, the last stage in the EPN prints out the probability of the event being an anomaly. One can also define a threshold in CQL to filter out events that are normal, i.e., below a certain mark as defined by the analyst or designer. Sample Runs: Now let's see how this behaves when events are streamed through CEP. We use only two events for brevity, one normal and other one not. This is one of the "normal" looking events and the probability of it being anomalous is less than 60%. Event is: eventType=DataMiningOutEvent object=q1  time=2904821976256 S.CQLMONTH=Dec, S.WEEKOFMONTH=5, S.DAYOFWEEK=Wednesday, S.MAKE=Honda, S.ACCIDENTAREA=Urban, S.DAYOFWEEKCLAIMED=Tuesday, S.MONTHCLAIMED=Jan, S.WEEKOFMONTHCLAIMED=1, S.SEX=Female, S.MARITALSTATUS=Single, S.AGE=21, S.FAULT=Policy Holder, S.POLICYTYPE=Sport - Liability, S.VEHICLECATEGORY=Sport, S.VEHICLEPRICE=more than 69000, S.FRAUDFOUND=0, S.POLICYNUMBER=1, S.REPNUMBER=12, S.DEDUCTIBLE=300, S.DRIVERRATING=1, S.DAYSPOLICYACCIDENT=more than 30, S.DAYSPOLICYCLAIM=more than 30, S.PASTNUMOFCLAIMS=none, S.AGEOFVEHICLES=3 years, S.AGEOFPOLICYHOLDER=26 to 30, S.POLICEREPORTFILED=No, S.WITNESSPRESENT=No, S.AGENTTYPE=External, S.NUMOFSUPP=none, S.ADDRCHGCLAIM=1 year, S.NUMOFCARS=3 to 4, S.CQLYEAR=1994, S.BASEPOLICY=Liability, probability=.58931702982118561 isTotalOrderGuarantee=true\nAnamoly probability: .58931702982118561 However, the following event is scored as an anomaly with a very high probability of  89%. So there is likely to be something wrong with it. A close look reveals that the value of "deductible" field (10000) is not "normal". What exactly constitutes normal here?. If you run the query on the database to find ALL distinct values for the "deductible" field, it returns the following set: {300, 400, 500, 700} Event is: eventType=DataMiningOutEvent object=q1  time=2598483773496 S.CQLMONTH=Dec, S.WEEKOFMONTH=5, S.DAYOFWEEK=Wednesday, S.MAKE=Honda, S.ACCIDENTAREA=Urban, S.DAYOFWEEKCLAIMED=Tuesday, S.MONTHCLAIMED=Jan, S.WEEKOFMONTHCLAIMED=1, S.SEX=Female, S.MARITALSTATUS=Single, S.AGE=21, S.FAULT=Policy Holder, S.POLICYTYPE=Sport - Liability, S.VEHICLECATEGORY=Sport, S.VEHICLEPRICE=more than 69000, S.FRAUDFOUND=0, S.POLICYNUMBER=1, S.REPNUMBER=12, S.DEDUCTIBLE=10000, S.DRIVERRATING=1, S.DAYSPOLICYACCIDENT=more than 30, S.DAYSPOLICYCLAIM=more than 30, S.PASTNUMOFCLAIMS=none, S.AGEOFVEHICLES=3 years, S.AGEOFPOLICYHOLDER=26 to 30, S.POLICEREPORTFILED=No, S.WITNESSPRESENT=No, S.AGENTTYPE=External, S.NUMOFSUPP=none, S.ADDRCHGCLAIM=1 year, S.NUMOFCARS=3 to 4, S.CQLYEAR=1994, S.BASEPOLICY=Liability, probability=.89171554529576691 isTotalOrderGuarantee=true\nAnamoly probability: .89171554529576691 Conclusion: By way of this example, we show: real-time scoring of events as they flow through CEP leveraging Oracle Data Mining.how CEP applications can invoke complex arbitrary external computations (function shipping) in an RDBMS.

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  • Big Data Matters with ODI12c

    - by Madhu Nair
    contributed by Mike Eisterer On October 17th, 2013, Oracle announced the release of Oracle Data Integrator 12c (ODI12c).  This release signifies improvements to Oracle’s Data Integration portfolio of solutions, particularly Big Data integration. Why Big Data = Big Business Organizations are gaining greater insights and actionability through increased storage, processing and analytical benefits offered by Big Data solutions.  New technologies and frameworks like HDFS, NoSQL, Hive and MapReduce support these benefits now. As further data is collected, analytical requirements increase and the complexity of managing transformations and aggregations of data compounds and organizations are in need for scalable Data Integration solutions. ODI12c provides enterprise solutions for the movement, translation and transformation of information and data heterogeneously and in Big Data Environments through: The ability for existing ODI and SQL developers to leverage new Big Data technologies. A metadata focused approach for cataloging, defining and reusing Big Data technologies, mappings and process executions. Integration between many heterogeneous environments and technologies such as HDFS and Hive. Generation of Hive Query Language. Working with Big Data using Knowledge Modules  ODI12c provides developers with the ability to define sources and targets and visually develop mappings to effect the movement and transformation of data.  As the mappings are created, ODI12c leverages a rich library of prebuilt integrations, known as Knowledge Modules (KMs).  These KMs are contextual to the technologies and platforms to be integrated.  Steps and actions needed to manage the data integration are pre-built and configured within the KMs.  The Oracle Data Integrator Application Adapter for Hadoop provides a series of KMs, specifically designed to integrate with Big Data Technologies.  The Big Data KMs include: Check Knowledge Module Reverse Engineer Knowledge Module Hive Transform Knowledge Module Hive Control Append Knowledge Module File to Hive (LOAD DATA) Knowledge Module File-Hive to Oracle (OLH-OSCH) Knowledge Module  Nothing to beat an Example: To demonstrate the use of the KMs which are part of the ODI Application Adapter for Hadoop, a mapping may be defined to move data between files and Hive targets.  The mapping is defined by dragging the source and target into the mapping, performing the attribute (column) mapping (see Figure 1) and then selecting the KM which will govern the process.  In this mapping example, movie data is being moved from an HDFS source into a Hive table.  Some of the attributes, such as “CUSTID to custid”, have been mapped over. Figure 1  Defining the Mapping Before the proper KM can be assigned to define the technology for the mapping, it needs to be added to the ODI project.  The Big Data KMs have been made available to the project through the KM import process.   Generally, this is done prior to defining the mapping. Figure 2  Importing the Big Data Knowledge Modules Following the import, the KMs are available in the Designer Navigator. v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Figure 3  The Project View in Designer, Showing Installed IKMs Once the KM is imported, it may be assigned to the mapping target.  This is done by selecting the Physical View of the mapping and examining the Properties of the Target.  In this case MOVIAPP_LOG_STAGE is the target of our mapping. Figure 4  Physical View of the Mapping and Assigning the Big Data Knowledge Module to the Target Alternative KMs may have been selected as well, providing flexibility and abstracting the logical mapping from the physical implementation.  Our mapping may be applied to other technologies as well. The mapping is now complete and is ready to run.  We will see more in a future blog about running a mapping to load Hive. To complete the quick ODI for Big Data Overview, let us take a closer look at what the IKM File to Hive is doing for us.  ODI provides differentiated capabilities by defining the process and steps which normally would have to be manually developed, tested and implemented into the KM.  As shown in figure 5, the KM is preparing the Hive session, managing the Hive tables, performing the initial load from HDFS and then performing the insert into Hive.  HDFS and Hive options are selected graphically, as shown in the properties in Figure 4. Figure 5  Process and Steps Managed by the KM What’s Next Big Data being the shape shifting business challenge it is is fast evolving into the deciding factor between market leaders and others. Now that an introduction to ODI and Big Data has been provided, look for additional blogs coming soon using the Knowledge Modules which make up the Oracle Data Integrator Application Adapter for Hadoop: Importing Big Data Metadata into ODI, Testing Data Stores and Loading Hive Targets Generating Transformations using Hive Query language Loading Oracle from Hadoop Sources For more information now, please visit the Oracle Data Integrator Application Adapter for Hadoop web site, http://www.oracle.com/us/products/middleware/data-integration/hadoop/overview/index.html Do not forget to tune in to the ODI12c Executive Launch webcast on the 12th to hear more about ODI12c and GG12c. Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";}

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • CodePlex Daily Summary for Friday, August 22, 2014

    CodePlex Daily Summary for Friday, August 22, 2014Popular ReleasesQuickMon: Version 3.22: This release add two important changes. 1. Config variables at the monitor pack level (global to entire monitor pack for all Collectors) 2. The QuickMon (Windows) service now automatically reloads monitor packs that have been changed since it was started. This means you don't have to restart the service for changes to take effect.SSIS ReportGeneratorTask: ReportGenerator Task 1.8: New version of the SSIS Report Generator Task that supports SQL Server 2008, 2012 and 2014. In addition to minor bug fixes Multi-Value Parameters and Execution Information were integrated. The complete variable and parameter assignment is now a string and can be set dynamically.Corefig for Windows Server 2012 Core and Hyper-V Server 2012: Corefig 1.1.2 ISO: FixesUpdated Hyper-V scripts to use version 2 of the WMI tree. Updated the Hyper-V check for saved VM to look for the proper identifier. Fixed text issues with the licensing tab (thanks to briangw for rooting this problem out). EnhancementsNew (and improved) version number in Corefig.psd1.Outlook 2013 Backup Add-In: Outlook Backup Add-In 1.3: Changelog for new version: Added button in config-window to reset the last backup-time (this will trigger the backup after closing outlook) Minimum interval set to 0 (backup at each closing of outlook) Catch exception when data store entry is corrupt Added two parameters (prefix and suffix) to automatically rename the backup file Updated VSTO-Runtime to 10.0.50325 Upgraded project to Visual Studio 2013 Added optional command to run after backup (e.g. pack backup files, ...) Add...babelua: 1.6.7.0: V1.6.7.0 - 2014.8.21New feature: add a file search window ( ctrl+1 or ALT+L ), like The file search in VC Assistant; Stability improvement: performance improvement when BabeLua load/unload; performance improvement when debugger load lua files;File Explorer for WPF: FileExplorer3_20August2014: Please see Aug14 Update.Open NFe: RDI Open NFe 3.0 (alpha): Atualização para o layout 3.10 da NFe.ODBC Connect: v1.0: ODBC Connect executables for both 32bit and 64bit ODBC data sourcesMSSQL Deployment Tool: Microsoft SQL Deploy Tool v1.3.1: MicrosoftSqlDeployTool: v1.3.1.38348 What's changed? Update namespace and assembly name. Bug fixing.SharePoint 2013 Search Query Tool: SharePoint 2013 Search Query Tool v2.1: Layout improvements Bug fixes Stores auth method and user name Moved experimental settings to Advanced boxCtrlAltStudio Viewer: CtrlAltStudio Viewer 1.2.2.41183 Alpha: This alpha of the CtrlAltStudio Viewer provides some preliminary Oculus Rift DK2 support. For more details, see the release notes linked to below. Release notes: http://ctrlaltstudio.com/viewer/release-notes/1-2-2-41183-alpha Support info: http://ctrlaltstudio.com/viewer/support Privacy policy: http://ctrlaltstudio.com/viewer/privacy Disclaimer: This software is not provided or supported by Linden Lab, the makers of Second Life.HDD Guardian: HDD Guardian 0.6.1: New: package now include smartctl 6.3; Removed: standard notification e-mail. Now you have to set your mail server to send e-mail alerts; Bugfix: USB detection error; custom e-mail server settings issue; bottom panel displays a wrong ATA error count.VG-Ripper & PG-Ripper: VG-Ripper 2.9.62: changes NEW: Added Support for 'MadImage.org' links NEW: Added Support for 'ImgSpot.org' links NEW: Added Support for 'ImgClick.net' links NEW: Added Support for 'Imaaage.com' links NEW: Added Support for 'Image-Bugs.com' links NEW: Added Support for 'Pictomania.org' links NEW: Added Support for 'ImgDap.com' links NEW: Added Support for 'FileSpit.com' links FIXED: 'ImgSee.me' linksMagick.NET: Magick.NET 7.0.0.0001: Magick.NET linked with ImageMagick 7-Beta.CMake Tools for Visual Studio: CMake Tools for Visual Studio 1.2: This release adds the following new features and bug fixes from CMake Tools for Visual Studio 1.1: Added support for CMake 3.0. Added support for word completion. Added IntelliSense support for the CMAKEHOSTSYSTEM_INFORMATION command. Fixed syntax highlighting for tokens beginning with escape sequences. Fixed issue uninstalling CMake Tools for Visual Studio after Visual Studio has been uninstalled.GW2 Personal Assistant Overlay: GW2 Personal Assistant Overlay 1.1: Overview1.1 is the second 'stable' release of the GW2 Personal Assistant Overlay. This version includes just a couple of very minor features and some minor bug fixes. For details regarding installation, setup, and general use, see Documentation. Note: If you were using a previous version, you will probably want to copy over the following user settings files: GW2PAO.DungeonSettings.xml GW2PAO.EventSettings.xml GW2PAO.WvWSettings.xml GW2PAO.ZoneCompletionSettings.xml New FeaturesAdded new "No...Fluentx: Fluentx v1.5.3: Added few more extension methods.fastJSON: v2.1.2: 2.1.2 - bug fix circular referencesJPush.NET: JPush Server SDK 1.2.1 (For JPush V3): Assembly: 1.2.1.24728 JPush REST API Version: v3 JPush Documentation Reference .NET framework: v4.0 or above. Sample: class: JPushClientV3 2014 Augest 15th.SEToolbox: SEToolbox 01.043.008 Release 1: Changed ship/station names to use new DisplayName instead of Beacon/Antenna. Fixed issue with updated SE binaries 01.043.018 using new Voxel Material definitions.New Projects1thManage: GDT for erevery oneCreateProjectOnCodePlex: This is the first project for CoderCamps.HEAD FIRST C# LAB 1 : A DAY AT THE RACES: This has been provided for educational purposes and general discussion to improve coding practices associated with the resources detailed within Head First C#.Introduce Audit logging to your EF application using Repository & Unit of Work: Introduce Auditing in your application that uses Entity Framework by utilizing the Repository and Unit of Work design patterns.License Registration (C++): Allow to create demo version, activate or not a module.MS Word SharepointWiki Plugin: Scope of the Plugin is to enable a Post to a Sharepoint Wiki from within MS Word with Formatted Text and Images.Send My Zip: This app will help you to send the files were zipped then send the email about password information. This project is currently in setup mode and only availablewinhttp: this is a project for http/https download.Wix Builder: WixBuilder focusses on easily generating a WiX script from a project ouput, compile and link it into msi installer using the WiX Toolset.XiamiSig: ????????。

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