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  • MySQL is there a Single Select to Query Various Unrelated Values from a database?

    - by zzapper
    I saw somewhere what seemed to be nested selects, one "master" select on the "outside" and a series of selects inside- is this possible? I'm not talking about joins as there is particular relation between the selects. I seem not to be explaining myself very well. I want to do a single query which will pull out a series of stats from various tables latest order, latest customer, largest order. Obviously I can do that with a series of selects. The example I saw was something like select ( select ... from tbl_1 where .., select ... from tbl_2 where .., select ... from tbl_3 where .., ... )

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  • how to fetch data from XML and update database table.

    - by ppp
    I am passing serialized collection(XML) to stored procedure. My XML structure is- <ArrayofDepartmentEntity> <Department> <id>1004</id> <budget>2500.oo</budget> </Department> <Department> <id>1080</id> <budget>3500.oo</budget> </Department> <Department> <id>1029</id> <budget>4500.00</budget> </Department> </ArrayofDepartmentEntity> How can I UPDATE corresponding budget column where department IDs are in above XML?? can any body write down the sql syntax. my SP syntax- ALTER PROCEDURE [dbo].[usp_SaveDepartentBudget] ( @departmentBudgetXML ntext = NULL ) AS BEGIN DECLARE @ptrHandle int EXEC sp_xml_preparedocument @ptrHandle OUTPUT, @departmentBudgetXML ....Here I want to update Budget foreach departmentID in @departmentBudgetXML

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  • Should my DAOs (Database Entities) Directly match my UI Objects?

    - by scarpacci
    I am trying to figure out best practice for N-Tier application design. When designing the objects my UI needs and those that will be persisted in the DB some of my colleagues are suggesting that the objects be one in the same. This doesn't not feel right to me and I am ultimately looking for some best practice documentation to help me in this decision. I honestly do not understand why I would want to design this way given that other applications may want to interact with my Data Access Layer....or it is just ignorance or lack of understanding on my part. Any documentation, information you could provide would be greatly appreciated. Just want to better understand these concepts and I am having a hard time finding some good information on the best practice for implementing these patterns (Or it is right in front of me on what I found and I didn't understand what was being outlined). Thanks, S

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  • Empty data was able to be stored to the Database in CakePHP even if "Not Null" had been specified.

    - by kwokwai
    Hi all, I was doing some self learning on CakePHP 1.26 with Mysql 5. I got a simple table with only one field and had applied "Not Null" to this field. This field in the table was corresponding to a Input text box in a HTML form. I tried not to enter anything into the Input text field, and then I saw that empty data was able to be stored into the Table even if "Not Null" had been applied to this field. I am confused of this result. Could you help me please?

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  • PHP function to handle most database queries has a problem with results. I am getting the right numb

    - by asdasds
    Here is my little function. It does not handle the results correctly. I do get all the rows that I want, but all the rows of the $results array contain the exact same values. So i make 2 arrays, a temporary array to hold the values after each fetch, and another array to hold all the temporary arrays. First i take the temp array and map its keys to the column names. Then i give it to bind_result, and call fetch() and use it like I would any other result value. Could this be because I re-use the $results array? numresults is the number of values you are taking from each row. if 0, you are not getting any results back. function db_query($db, $query, $params = NULL, $numresults = 0) { if($stmt = $db -> prepare($query)) { if($params != NULL) { call_user_func_array(array($stmt, 'bind_param'), $params); } if(!$stmt -> execute()) { //echo 'exec error:',$db->error; return false; } if($numresults > 0) { $results = array(); $tmpresult = array(); $meta = $stmt->result_metadata(); while ($columnName = $meta->fetch_field()) $tmpresult[] = &$results[$columnName->name]; call_user_func_array(array($stmt, 'bind_result'), $tmpresult); $meta->close(); $results = array(); while($stmt -> fetch()) $results[] = $tmpresult; } $stmt -> close(); } else { //echo 'prepare error: ',$db->error; return false; } if($numresults == 0) return true; return $results; }

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  • Access database Need to prevent from approving overlapping OT.Second Try with modified request Not a programmer [on hold]

    - by user2512764
    Employees Signups on company Website for advance overtime line. Access table already has overtime signups which does not require user to add the time but it requires only to add location as approved. Since this table has field Employee name, Date, start time and End time and location, All the fields has the data except for location. In the data base I have created a form based on this table. Since the table already have most of the information User only has to add location in the form field in order to approve overtime. Once user approves an overtime line for example: User approves overtime for employee name 'John' which starts on 7/1/2013 at 0400-0800, location is successfully added. When user tries to add location for John again which might has the start time for 7/1/2013 at 0600=0900. Again we are not entering Start time, End time and date it is already in the table. we are only entering location as approval. Soon user enters the location for John in the form field, since there is a conflict with previously overtime line which has already been approved. program needs to check employee name, date and time in previously approved (Added location) overtime line and The location in current record needs to be deleted and go to next record. I hope I have explained it in understandable format. Thank You,

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  • What would be a good Database strategy to manage these two product options?

    - by bemused
    I have a site that allows users to purchase "items" (imagine it as an Advertisement, or a download). There are 2 ways to purchase. Either a subscription, 70 items within 1 month (use them or lose them--at the end of the month your count is 0) or purchase each item individually as you need it. So the user could subscribe and get 70/month or pay for 10 and use them when they want until the 10 are gone. Maybe it's the late hour, but I can't isolate a solution I like and thought some users here would surely have stumbled upon something similar. One I can imagine is webhosts. They sell hosting for monthy fees and sell counts of things like you get 5 free domains with our reseller account. or something like a movie download site, you can subscribe and get 100 movies each month, or pay for a one-time package of 10 movies. so is this a web of tables and where would be a good cross between the product a user has purchased and how many they have left? products productID, productType=subscription, consumable, subscription&consumable subscriptions SubscriptionID, subscriptionStartDate, subscriptionEndDate, consumables consumableID, consumableName UserProducts userID,productID,productType ,consumptionLimit,consumedCount (if subscription check against dates), otherwise just check that consumedCount is < than limit. Usually I can layout my data in a way that I know it will work the way I expect, but this one feels a little questionable to me. Like there is a hidden detail that is going to creep up later. That's why I decided to ask for help if someone in the vast expanse can enlighten me with their wisdom and experience and clue me in to a satisfying strategy. Thank you.

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  • How to pass XML to DB using XMLTYPE

    - by James Taylor
    Probably not a common use case but I have seen it pop up from time to time. The question how do I pass XML from a queue or web service and insert it into a DB table using XMLTYPE.In this example I create a basic table with the field PAYLOAD of type XMLTYPE. I then take the full XML payload of the web service and insert it into that database for auditing purposes.I use SOA Suite 11.1.1.2 using composite and mediator to link the web service with the DB adapter.1. Insert Database Objects Normal 0 false false false 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-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:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} --Create XML_EXAMPLE_TBL Normal 0 false false false 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-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:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} CREATE TABLE XML_EXAMPLE_TBL (PAYLOAD XMLTYPE); Normal 0 false false false 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-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:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} --Create procedure LOAD_TEST_XML Normal 0 false false false 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-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:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} CREATE or REPLACE PROCEDURE load_test_xml (xmlFile in CLOB) IS   BEGIN     INSERT INTO xml_example_tbl (payload) VALUES (XMLTYPE(xmlFile));   --Handle the exceptions EXCEPTION   WHEN OTHERS THEN     raise_application_error(-20101, 'Exception occurred in loadPurchaseOrder procedure :'||SQLERRM || ' **** ' || xmlFile ); END load_test_xml; / 2. Creating New SOA Project TestXMLTYPE in JDeveloperIn JDeveloper either create a new Application or open an existing Application you want to put this work.Under File -> New -> SOA Tier -> SOA Project   Provide a name for the Project, e.g. TestXMLType Choose Empty Composite When selected Empty Composite click Finish.3. Create Database Connection to Stored ProcedureA Blank composite will be displayed. From the Component Palette drag a Database Adapter to the  External References panel. and configure the Database Adapter Wizard to connect to the DB procedure created above.Provide a service name InsertXML Select a Database connection where you installed the table and procedure above. If it doesn't exist create a new one. Select Call a Stored Procedure or Function then click NextChoose the schema you installed your Procedure in step 1 and query for the LOAD_TEST_XML procedure.Click Next for the remaining screens until you get to the end, then click Finish to complete the database adapter wizard.4. Create the Web Service InterfaceDownload this sample schema that will be used as the input for the web service. It does not matter what schema you use this solution will work with any. Feel free to use your own if required. singleString.xsd Drag from the component palette the Web Service to the Exposed Services panel on the component.Provide a name InvokeXMLLoad for the service, and click the cog icon.Click the magnify glass for the URL to browse to the location where you downloaded the xml schema above.  Import the schema file by selecting the import schema iconBrowse to the location to where you downloaded the singleString.xsd above.Click OK for the Import Schema File, then select the singleString node of the imported schema.Accept all the defaults until you get back to the Web Service wizard screen. The click OK. This step has created a WSDL based on the schema we downloaded earlier.Your composite should now look something like this now.5. Create the Mediator Routing Rules Drag a Mediator component into the middle of the Composite called ComponentsGive the name of Route, and accept the defaultsLink the services up to the Mediator by connecting the reference points so your Composite looks like this.6. Perform Translations between Web Service and the Database Adapter.From the Composite double click the Route Mediator to show the Map Plan. Select the transformation icon to create the XSLT translation file.Choose Create New Mapper File and accept the defaults.From the Component Palette drag the get-content-as-string component into the middle of the translation file.Your translation file should look something like thisNow we need to map the root element of the source 'singleString' to the XMLTYPE of the database adapter, applying the function get-content-as-string.To do this drag the element singleString to the left side of the function get-content-as-string and drag the right side of the get-content-as-string to the XMLFILE element of the database adapter so the mapping looks like this. You have now completed the SOA Component you can now save your work, deploy and test.When you deploy I have assumed that you have the correct database configurations in the WebLogic Console based on the connection you setup connecting to the Stored Procedure. 7. Testing the ApplicationOpen Enterprise Manager and navigate to the TestXMLTYPE Composite and click the Test button. Load some dummy variables in the Input Arguments and click the 'Test Web Service' buttonOnce completed you can run a SQL statement to check the install. In this instance I have just used JDeveloper and opened a SQL WorksheetSQL Statement Normal 0 false false false 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-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:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} select * from xml_example_tbl; Result, you should see the full payload in the result.

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  • Replication Services as ETL extraction tool

    - by jorg
    In my last blog post I explained the principles of Replication Services and the possibilities it offers in a BI environment. One of the possibilities I described was the use of snapshot replication as an ETL extraction tool: “Snapshot Replication can also be useful in BI environments, if you don’t need a near real-time copy of the database, you can choose to use this form of replication. Next to an alternative for Transactional Replication it can be used to stage data so it can be transformed and moved into the data warehousing environment afterwards. In many solutions I have seen developers create multiple SSIS packages that simply copies data from one or more source systems to a staging database that figures as source for the ETL process. The creation of these packages takes a lot of (boring) time, while Replication Services can do the same in minutes. It is possible to filter out columns and/or records and it can even apply schema changes automatically so I think it offers enough features here. I don’t know how the performance will be and if it really works as good for this purpose as I expect, but I want to try this out soon!” Well I have tried it out and I must say it worked well. I was able to let replication services do work in a fraction of the time it would cost me to do the same in SSIS. What I did was the following: Configure snapshot replication for some Adventure Works tables, this was quite simple and straightforward. Create an SSIS package that executes the snapshot replication on demand and waits for its completion. This is something that you can’t do with out of the box functionality. While configuring the snapshot replication two SQL Agent Jobs are created, one for the creation of the snapshot and one for the distribution of the snapshot. Unfortunately these jobs are  asynchronous which means that if you execute them they immediately report back if the job started successfully or not, they do not wait for completion and report its result afterwards. So I had to create an SSIS package that executes the jobs and waits for their completion before the rest of the ETL process continues. Fortunately I was able to create the SSIS package with the desired functionality. I have made a step-by-step guide that will help you configure the snapshot replication and I have uploaded the SSIS package you need to execute it. Configure snapshot replication   The first step is to create a publication on the database you want to replicate. Connect to SQL Server Management Studio and right-click Replication, choose for New.. Publication…   The New Publication Wizard appears, click Next Choose your “source” database and click Next Choose Snapshot publication and click Next   You can now select tables and other objects that you want to publish Expand Tables and select the tables that are needed in your ETL process In the next screen you can add filters on the selected tables which can be very useful. Think about selecting only the last x days of data for example. Its possible to filter out rows and/or columns. In this example I did not apply any filters. Schedule the Snapshot Agent to run at a desired time, by doing this a SQL Agent Job is created which we need to execute from a SSIS package later on. Next you need to set the Security Settings for the Snapshot Agent. Click on the Security Settings button.   In this example I ran the Agent under the SQL Server Agent service account. This is not recommended as a security best practice. Fortunately there is an excellent article on TechNet which tells you exactly how to set up the security for replication services. Read it here and make sure you follow the guidelines!   On the next screen choose to create the publication at the end of the wizard Give the publication a name (SnapshotTest) and complete the wizard   The publication is created and the articles (tables in this case) are added Now the publication is created successfully its time to create a new subscription for this publication.   Expand the Replication folder in SSMS and right click Local Subscriptions, choose New Subscriptions   The New Subscription Wizard appears   Select the publisher on which you just created your publication and select the database and publication (SnapshotTest)   You can now choose where the Distribution Agent should run. If it runs at the distributor (push subscriptions) it causes extra processing overhead. If you use a separate server for your ETL process and databases choose to run each agent at its subscriber (pull subscriptions) to reduce the processing overhead at the distributor. Of course we need a database for the subscription and fortunately the Wizard can create it for you. Choose for New database   Give the database the desired name, set the desired options and click OK You can now add multiple SQL Server Subscribers which is not necessary in this case but can be very useful.   You now need to set the security settings for the Distribution Agent. Click on the …. button Again, in this example I ran the Agent under the SQL Server Agent service account. Read the security best practices here   Click Next   Make sure you create a synchronization job schedule again. This job is also necessary in the SSIS package later on. Initialize the subscription at first synchronization Select the first box to create the subscription when finishing this wizard Complete the wizard by clicking Finish The subscription will be created In SSMS you see a new database is created, the subscriber. There are no tables or other objects in the database available yet because the replication jobs did not ran yet. Now expand the SQL Server Agent, go to Jobs and search for the job that creates the snapshot:   Rename this job to “CreateSnapshot” Now search for the job that distributes the snapshot:   Rename this job to “DistributeSnapshot” Create an SSIS package that executes the snapshot replication We now need an SSIS package that will take care of the execution of both jobs. The CreateSnapshot job needs to execute and finish before the DistributeSnapshot job runs. After the DistributeSnapshot job has started the package needs to wait until its finished before the package execution finishes. The Execute SQL Server Agent Job Task is designed to execute SQL Agent Jobs from SSIS. Unfortunately this SSIS task only executes the job and reports back if the job started succesfully or not, it does not report if the job actually completed with success or failure. This is because these jobs are asynchronous. The SSIS package I’ve created does the following: It runs the CreateSnapshot job It checks every 5 seconds if the job is completed with a for loop When the CreateSnapshot job is completed it starts the DistributeSnapshot job And again it waits until the snapshot is delivered before the package will finish successfully Quite simple and the package is ready to use as standalone extract mechanism. After executing the package the replicated tables are added to the subscriber database and are filled with data:   Download the SSIS package here (SSIS 2008) Conclusion In this example I only replicated 5 tables, I could create a SSIS package that does the same in approximately the same amount of time. But if I replicated all the 70+ AdventureWorks tables I would save a lot of time and boring work! With replication services you also benefit from the feature that schema changes are applied automatically which means your entire extract phase wont break. Because a snapshot is created using the bcp utility (bulk copy) it’s also quite fast, so the performance will be quite good. Disadvantages of using snapshot replication as extraction tool is the limitation on source systems. You can only choose SQL Server or Oracle databases to act as a publisher. So if you plan to build an extract phase for your ETL process that will invoke a lot of tables think about replication services, it would save you a lot of time and thanks to the Extract SSIS package I’ve created you can perfectly fit it in your usual SSIS ETL process.

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  • Oracle Solaris: Zones on Shared Storage

    - by Jeff Victor
    Oracle Solaris 11.1 has several new features. At oracle.com you can find a detailed list. One of the significant new features, and the most significant new feature releated to Oracle Solaris Zones, is casually called "Zones on Shared Storage" or simply ZOSS (rhymes with "moss"). ZOSS offers much more flexibility because you can store Solaris Zones on shared storage (surprise!) so that you can perform quick and easy migration of a zone from one system to another. This blog entry describes and demonstrates the use of ZOSS. ZOSS provides complete support for a Solaris Zone that is stored on "shared storage." In this case, "shared storage" refers to fiber channel (FC) or iSCSI devices, although there is one lone exception that I will demonstrate soon. The primary intent is to enable you to store a zone on FC or iSCSI storage so that it can be migrated from one host computer to another much more easily and safely than in the past. With this blog entry, I wanted to make it easy for you to try this yourself. I couldn't assume that you have a SAN available - which is a good thing, because neither do I! What could I use, instead? [There he goes, foreshadowing again... -Ed.] Developing this entry reinforced the lesson that the solution to every lab problem is VirtualBox. Oracle VM VirtualBox (its formal name) helps here in a couple of important ways. It offers the ability to easily install multiple copies of Solaris as guests on top of any popular system (Microsoft Windows, MacOS, Solaris, Oracle Linux (and other Linuxes) etc.). It also offers the ability to create a separate virtual disk drive (VDI) that appears as a local hard disk to a guest. This virtual disk can be moved very easily from one guest to another. In other words, you can follow the steps below on a laptop or larger x86 system. Please note that the ability to use ZOSS to store a zone on a local disk is very useful for a lab environment, but not so useful for production. I do not suggest regularly moving disk drives among computers. In the method I describe below, that virtual hard disk will contain the zone that will be migrated among the (virtual) hosts. In production, you would use FC or iSCSI LUNs instead. The zonecfg(1M) man page details the syntax for each of the three types of devices. Why Migrate? Why is the migration of virtual servers important? Some of the most common reasons are: Moving a workload to a different computer so that the original computer can be turned off for extensive maintenance. Moving a workload to a larger system because the workload has outgrown its original system. If the workload runs in an environment (such as a Solaris Zone) that is stored on shared storage, you can restore the service of the workload on an alternate computer if the original computer has failed and will not reboot. You can simplify lifecycle management of a workload by developing it on a laptop, migrating it to a test platform when it's ready, and finally moving it to a production system. Concepts For ZOSS, the important new concept is named "rootzpool". You can read about it in the zonecfg(1M) man page, but here's the short version: it's the backing store (hard disk(s), or LUN(s)) that will be used to make a ZFS zpool - the zpool that will hold the zone. This zpool: contains the zone's Solaris content, i.e. the root file system does not contain any content not related to the zone can only be mounted by one Solaris instance at a time Method Overview Here is a brief list of the steps to create a zone on shared storage and migrate it. The next section shows the commands and output. You will need a host system with an x86 CPU (hopefully at least a couple of CPU cores), at least 2GB of RAM, and at least 25GB of free disk space. (The steps below will not actually use 25GB of disk space, but I don't want to lead you down a path that ends in a big sign that says "Your HDD is full. Good luck!") Configure the zone on both systems, specifying the rootzpool that both will use. The best way is to configure it on one system and then copy the output of "zonecfg export" to the other system to be used as input to zonecfg. This method reduces the chances of pilot error. (It is not necessary to configure the zone on both systems before creating it. You can configure this zone in multiple places, whenever you want, and migrate it to one of those places at any time - as long as those systems all have access to the shared storage.) Install the zone on one system, onto shared storage. Boot the zone. Provide system configuration information to the zone. (In the Real World(tm) you will usually automate this step.) Shutdown the zone. Detach the zone from the original system. Attach the zone to its new "home" system. Boot the zone. The zone can be used normally, and even migrated back, or to a different system. Details The rest of this shows the commands and output. The two hostnames are "sysA" and "sysB". Note that each Solaris guest might use a different device name for the VDI that they share. I used the device names shown below, but you must discover the device name(s) after booting each guest. In a production environment you would also discover the device name first and then configure the zone with that name. Fortunately, you can use the command "zpool import" or "format" to discover the device on the "new" host for the zone. The first steps create the VirtualBox guests and the shared disk drive. I describe the steps here without demonstrating them. Download VirtualBox and install it using a method normal for your host OS. You can read the complete instructions. Create two VirtualBox guests, each to run Solaris 11.1. Each will use its own VDI as its root disk. Install Solaris 11.1 in each guest.Install Solaris 11.1 in each guest. To install a Solaris 11.1 guest, you can either download a pre-built VirtualBox guest, and import it, or install Solaris 11.1 from the "text install" media. If you use the latter method, after booting you will not see a windowing system. To install the GUI and other important things, login and run "pkg install solaris-desktop" and take a break while it installs those important things. Life is usually easier if you install the VirtualBox Guest Additions because then you can copy and paste between the host and guests, etc. You can find the guest additions in the folder matching the version of VirtualBox you are using. You can also read the instructions for installing the guest additions. To create the zone's shared VDI in VirtualBox, you can open the storage configuration for one of the two guests, select the SATA controller, and click on the "Add Hard Disk" icon nearby. Choose "Create New Disk" and specify an appropriate path name for the file that will contain the VDI. The shared VDI must be at least 1.5 GB. Note that the guest must be stopped to do this. Add that VDI to the other guest - using its Storage configuration - so that each can access it while running. The steps start out the same, except that you choose "Choose Existing Disk" instead of "Create New Disk." Because the disk is configured on both of them, VirtualBox prevents you from running both guests at the same time. Identify device names of that VDI, in each of the guests. Solaris chooses the name based on existing devices. The names may be the same, or may be different from each other. This step is shown below as "Step 1." Assumptions In the example shown below, I make these assumptions. The guest that will own the zone at the beginning is named sysA. The guest that will own the zone after the first migration is named sysB. On sysA, the shared disk is named /dev/dsk/c7t2d0 On sysB, the shared disk is named /dev/dsk/c7t3d0 (Finally!) The Steps Step 1) Determine the name of the disk that will move back and forth between the systems. root@sysA:~# format Searching for disks...done AVAILABLE DISK SELECTIONS: 0. c7t0d0 /pci@0,0/pci8086,2829@d/disk@0,0 1. c7t2d0 /pci@0,0/pci8086,2829@d/disk@2,0 Specify disk (enter its number): ^D Step 2) The first thing to do is partition and label the disk. The magic needed to write an EFI label is not overly complicated. root@sysA:~# format -e c7t2d0 selecting c7t2d0 [disk formatted] FORMAT MENU: ... format fdisk No fdisk table exists. The default partition for the disk is: a 100% "SOLARIS System" partition Type "y" to accept the default partition, otherwise type "n" to edit the partition table. n SELECT ONE OF THE FOLLOWING: ... Enter Selection: 1 ... G=EFI_SYS 0=Exit? f SELECT ONE... ... 6 format label ... Specify Label type[1]: 1 Ready to label disk, continue? y format quit root@sysA:~# ls /dev/dsk/c7t2d0 /dev/dsk/c7t2d0 Step 3) Configure zone1 on sysA. root@sysA:~# zonecfg -z zone1 Use 'create' to begin configuring a new zone. zonecfg:zone1 create create: Using system default template 'SYSdefault' zonecfg:zone1 set zonename=zone1 zonecfg:zone1 set zonepath=/zones/zone1 zonecfg:zone1 add rootzpool zonecfg:zone1:rootzpool add storage dev:dsk/c7t2d0 zonecfg:zone1:rootzpool end zonecfg:zone1 exit root@sysA:~# oot@sysA:~# zonecfg -z zone1 info zonename: zone1 zonepath: /zones/zone1 brand: solaris autoboot: false bootargs: file-mac-profile: pool: limitpriv: scheduling-class: ip-type: exclusive hostid: fs-allowed: anet: ... rootzpool: storage: dev:dsk/c7t2d0 Step 4) Install the zone. This step takes the most time, but you can wander off for a snack or a few laps around the gym - or both! (Just not at the same time...) root@sysA:~# zoneadm -z zone1 install Created zone zpool: zone1_rpool Progress being logged to /var/log/zones/zoneadm.20121022T163634Z.zone1.install Image: Preparing at /zones/zone1/root. AI Manifest: /tmp/manifest.xml.RXaycg SC Profile: /usr/share/auto_install/sc_profiles/enable_sci.xml Zonename: zone1 Installation: Starting ... Creating IPS image Startup linked: 1/1 done Installing packages from: solaris origin: http://pkg.us.oracle.com/support/ DOWNLOAD PKGS FILES XFER (MB) SPEED Completed 183/183 33556/33556 222.2/222.2 2.8M/s PHASE ITEMS Installing new actions 46825/46825 Updating package state database Done Updating image state Done Creating fast lookup database Done Installation: Succeeded Note: Man pages can be obtained by installing pkg:/system/manual done. Done: Installation completed in 1696.847 seconds. Next Steps: Boot the zone, then log into the zone console (zlogin -C) to complete the configuration process. Log saved in non-global zone as /zones/zone1/root/var/log/zones/zoneadm.20121022T163634Z.zone1.install Step 5) Boot the Zone. root@sysA:~# zoneadm -z zone1 boot Step 6) Login to zone's console to complete the specification of system information. root@sysA:~# zlogin -C zone1 Answer the usual questions and wait for a login prompt. Then you can end the console session with the usual "~." incantation. Step 7) Shutdown the zone so it can be "moved." root@sysA:~# zoneadm -z zone1 shutdown Step 8) Detach the zone so that the original global zone can't use it. root@sysA:~# zoneadm list -cv ID NAME STATUS PATH BRAND IP 0 global running / solaris shared - zone1 installed /zones/zone1 solaris excl root@sysA:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 17.6G 11.2G 6.47G 63% 1.00x ONLINE - zone1_rpool 1.98G 484M 1.51G 23% 1.00x ONLINE - root@sysA:~# zoneadm -z zone1 detach Exported zone zpool: zone1_rpool Step 9) Review the result and shutdown sysA so that sysB can use the shared disk. root@sysA:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 17.6G 11.2G 6.47G 63% 1.00x ONLINE - root@sysA:~# zoneadm list -cv ID NAME STATUS PATH BRAND IP 0 global running / solaris shared - zone1 configured /zones/zone1 solaris excl root@sysA:~# init 0 Step 10) Now boot sysB and configure a zone with the parameters shown above in Step 1. (Again, the safest method is to use "zonecfg ... export" on sysA as described in section "Method Overview" above.) The one difference is the name of the rootzpool storage device, which was shown in the list of assumptions, and which you must determine by booting sysB and using the "format" or "zpool import" command. When that is done, you should see the output shown next. (I used the same zonename - "zone1" - in this example, but you can choose any valid zonename you want.) root@sysB:~# zoneadm list -cv ID NAME STATUS PATH BRAND IP 0 global running / solaris shared - zone1 configured /zones/zone1 solaris excl root@sysB:~# zonecfg -z zone1 info zonename: zone1 zonepath: /zones/zone1 brand: solaris autoboot: false bootargs: file-mac-profile: pool: limitpriv: scheduling-class: ip-type: exclusive hostid: fs-allowed: anet: linkname: net0 ... rootzpool: storage: dev:dsk/c7t3d0 Step 11) Attaching the zone automatically imports the zpool. root@sysB:~# zoneadm -z zone1 attach Imported zone zpool: zone1_rpool Progress being logged to /var/log/zones/zoneadm.20121022T184034Z.zone1.attach Installing: Using existing zone boot environment Zone BE root dataset: zone1_rpool/rpool/ROOT/solaris Cache: Using /var/pkg/publisher. Updating non-global zone: Linking to image /. Processing linked: 1/1 done Updating non-global zone: Auditing packages. No updates necessary for this image. Updating non-global zone: Zone updated. Result: Attach Succeeded. Log saved in non-global zone as /zones/zone1/root/var/log/zones/zoneadm.20121022T184034Z.zone1.attach root@sysB:~# zoneadm -z zone1 boot root@sysB:~# zlogin zone1 [Connected to zone 'zone1' pts/2] Oracle Corporation SunOS 5.11 11.1 September 2012 Step 12) Now let's migrate the zone back to sysA. Create a file in zone1 so we can verify it exists after we migrate the zone back, then begin migrating it back. root@zone1:~# ls /opt root@zone1:~# touch /opt/fileA root@zone1:~# ls -l /opt/fileA -rw-r--r-- 1 root root 0 Oct 22 14:47 /opt/fileA root@zone1:~# exit logout [Connection to zone 'zone1' pts/2 closed] root@sysB:~# zoneadm -z zone1 shutdown root@sysB:~# zoneadm -z zone1 detach Exported zone zpool: zone1_rpool root@sysB:~# init 0 Step 13) Back on sysA, check the status. Oracle Corporation SunOS 5.11 11.1 September 2012 root@sysA:~# zoneadm list -cv ID NAME STATUS PATH BRAND IP 0 global running / solaris shared - zone1 configured /zones/zone1 solaris excl root@sysA:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 17.6G 11.2G 6.47G 63% 1.00x ONLINE - Step 14) Re-attach the zone back to sysA. root@sysA:~# zoneadm -z zone1 attach Imported zone zpool: zone1_rpool Progress being logged to /var/log/zones/zoneadm.20121022T190441Z.zone1.attach Installing: Using existing zone boot environment Zone BE root dataset: zone1_rpool/rpool/ROOT/solaris Cache: Using /var/pkg/publisher. Updating non-global zone: Linking to image /. Processing linked: 1/1 done Updating non-global zone: Auditing packages. No updates necessary for this image. Updating non-global zone: Zone updated. Result: Attach Succeeded. Log saved in non-global zone as /zones/zone1/root/var/log/zones/zoneadm.20121022T190441Z.zone1.attach root@sysA:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 17.6G 11.2G 6.47G 63% 1.00x ONLINE - zone1_rpool 1.98G 491M 1.51G 24% 1.00x ONLINE - root@sysA:~# zoneadm -z zone1 boot root@sysA:~# zlogin zone1 [Connected to zone 'zone1' pts/2] Oracle Corporation SunOS 5.11 11.1 September 2012 root@zone1:~# zpool list NAME SIZE ALLOC FREE CAP DEDUP HEALTH ALTROOT rpool 1.98G 538M 1.46G 26% 1.00x ONLINE - Step 15) Check for the file created on sysB, earlier. root@zone1:~# ls -l /opt total 1 -rw-r--r-- 1 root root 0 Oct 22 14:47 fileA Next Steps Here is a brief list of some of the fun things you can try next. Add space to the zone by adding a second storage device to the rootzpool. Make sure that you add it to the configurations of both zones! Create a new zone, specifying two disks in the rootzpool when you first configure the zone. When you install that zone, or clone it from another zone, zoneadm uses those two disks to create a mirrored pool. (Three disks will result in a three-way mirror, etc.) Conclusion Hopefully you have seen the ease with which you can now move Solaris Zones from one system to another.

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  • DBCC CHECKDB on VVLDB and latches (Or: My Pain is Your Gain)

    - by Argenis
      Does your CHECKDB hurt, Argenis? There is a classic blog series by Paul Randal [blog|twitter] called “CHECKDB From Every Angle” which is pretty much mandatory reading for anybody who’s even remotely considering going for the MCM certification, or its replacement (the Microsoft Certified Solutions Master: Data Platform – makes my fingers hurt just from typing it). Of particular interest is the post “Consistency Options for a VLDB” – on it, Paul provides solid, timeless advice (I use the word “timeless” because it was written in 2007, and it all applies today!) on how to perform checks on very large databases. Well, here I was trying to figure out how to make CHECKDB run faster on a restored copy of one of our databases, which happens to exceed 7TB in size. The whole thing was taking several days on multiple systems, regardless of the storage used – SAS, SATA or even SSD…and I actually didn’t pay much attention to how long it was taking, or even bothered to look at the reasons why - as long as it was finishing okay and found no consistency errors. Yes – I know. That was a huge mistake, as corruption found in a database several days after taking place could only allow for further spread of the corruption – and potentially large data loss. In the last two weeks I increased my attention towards this problem, as we noticed that CHECKDB was taking EVEN LONGER on brand new all-flash storage in the SAN! I couldn’t really explain it, and were almost ready to blame the storage vendor. The vendor told us that they could initially see the server driving decent I/O – around 450Mb/sec, and then it would settle at a very slow rate of 10Mb/sec or so. “Hum”, I thought – “CHECKDB is just not pushing the I/O subsystem hard enough”. Perfmon confirmed the vendor’s observations. Dreaded @BlobEater What was CHECKDB doing all the time while doing so little I/O? Eating Blobs. It turns out that CHECKDB was taking an extremely long time on one of our frankentables, which happens to be have 35 billion rows (yup, with a b) and sucks up several terabytes of space in the database. We do have a project ongoing to purge/split/partition this table, so it’s just a matter of time before we deal with it. But the reality today is that CHECKDB is coming to a screeching halt in performance when dealing with this particular table. Checking sys.dm_os_waiting_tasks and sys.dm_os_latch_stats showed that LATCH_EX (DBCC_OBJECT_METADATA) was by far the top wait type. I remembered hearing recently about that wait from another post that Paul Randal made, but that was related to computed-column indexes, and in fact, Paul himself reminded me of his article via twitter. But alas, our pathologic table had no non-clustered indexes on computed columns. I knew that latches are used by the database engine to do internal synchronization – but how could I help speed this up? After all, this is stuff that doesn’t have a lot of knobs to tweak. (There’s a fantastic level 500 talk by Bob Ward from Microsoft CSS [blog|twitter] called “Inside SQL Server Latches” given at PASS 2010 – and you can check it out here. DISCLAIMER: I assume no responsibility for any brain melting that might ensue from watching Bob’s talk!) Failed Hypotheses Earlier on this week I flew down to Palo Alto, CA, to visit our Headquarters – and after having a great time with my Monkey peers, I was relaxing on the plane back to Seattle watching a great talk by SQL Server MVP and fellow MCM Maciej Pilecki [twitter] called “Masterclass: A Day in the Life of a Database Transaction” where he discusses many different topics related to transaction management inside SQL Server. Very good stuff, and when I got home it was a little late – that slow DBCC CHECKDB that I had been dealing with was way in the back of my head. As I was looking at the problem at hand earlier on this week, I thought “How about I set the database to read-only?” I remembered one of the things Maciej had (jokingly) said in his talk: “if you don’t want locking and blocking, set the database to read-only” (or something to that effect, pardon my loose memory). I immediately killed the CHECKDB which had been running painfully for days, and set the database to read-only mode. Then I ran DBCC CHECKDB against it. It started going really fast (even a bit faster than before), and then throttled down again to around 10Mb/sec. All sorts of expletives went through my head at the time. Sure enough, the same latching scenario was present. Oh well. I even spent some time trying to figure out if NUMA was hurting performance. Folks on Twitter made suggestions in this regard (thanks, Lonny! [twitter]) …Eureka? This past Friday I was still scratching my head about the whole thing; I was ready to start profiling with XPERF to see if I could figure out which part of the engine was to blame and then get Microsoft to look at the evidence. After getting a bunch of good news I’ll blog about separately, I sat down for a figurative smack down with CHECKDB before the weekend. And then the light bulb went on. A sparse column. I thought that I couldn’t possibly be experiencing the same scenario that Paul blogged about back in March showing extreme latching with non-clustered indexes on computed columns. Did I even have a non-clustered index on my sparse column? As it turns out, I did. I had one filtered non-clustered index – with the sparse column as the index key (and only column). To prove that this was the problem, I went and setup a test. Yup, that'll do it The repro is very simple for this issue: I tested it on the latest public builds of SQL Server 2008 R2 SP2 (CU6) and SQL Server 2012 SP1 (CU4). First, create a test database and a test table, which only needs to contain a sparse column: CREATE DATABASE SparseColTest; GO USE SparseColTest; GO CREATE TABLE testTable (testCol smalldatetime SPARSE NULL); GO INSERT INTO testTable (testCol) VALUES (NULL); GO 1000000 That’s 1 million rows, and even though you’re inserting NULLs, that’s going to take a while. In my laptop, it took 3 minutes and 31 seconds. Next, we run DBCC CHECKDB against the database: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; This runs extremely fast, as least on my test rig – 198 milliseconds. Now let’s create a filtered non-clustered index on the sparse column: CREATE NONCLUSTERED INDEX [badBadIndex] ON testTable (testCol) WHERE testCol IS NOT NULL; With the index in place now, let’s run DBCC CHECKDB one more time: DBCC CHECKDB('SparseColTest') WITH NO_INFOMSGS, ALL_ERRORMSGS; In my test system this statement completed in 11433 milliseconds. 11.43 full seconds. Quite the jump from 198 milliseconds. I went ahead and dropped the filtered non-clustered indexes on the restored copy of our production database, and ran CHECKDB against that. We went down from 7+ days to 19 hours and 20 minutes. Cue the “Argenis is not impressed” meme, please, Mr. LaRock. My pain is your gain, folks. Go check to see if you have any of such indexes – they’re likely causing your consistency checks to run very, very slow. Happy CHECKDBing, -Argenis ps: I plan to file a Connect item for this issue – I consider it a pretty serious bug in the engine. After all, filtered indexes were invented BECAUSE of the sparse column feature – and it makes a lot of sense to use them together. Watch this space and my twitter timeline for a link.

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  • Real tortoises keep it slow and steady. How about the backups?

    - by Maria Zakourdaev
      … Four tortoises were playing in the backyard when they decided they needed hibiscus flower snacks. They pooled their money and sent the smallest tortoise out to fetch the snacks. Two days passed and there was no sign of the tortoise. "You know, she is taking a lot of time", said one of the tortoises. A little voice from just out side the fence said, "If you are going to talk that way about me I won't go." Is it too much to request from the quite expensive 3rd party backup tool to be a way faster than the SQL server native backup? Or at least save a respectable amount of storage by producing a really smaller backup files?  By saying “really smaller”, I mean at least getting a file in half size. After Googling the internet in an attempt to understand what other “sql people” are using for database backups, I see that most people are using one of three tools which are the main players in SQL backup area:  LiteSpeed by Quest SQL Backup by Red Gate SQL Safe by Idera The feedbacks about those tools are truly emotional and happy. However, while reading the forums and blogs I have wondered, is it possible that many are accustomed to using the above tools since SQL 2000 and 2005.  This can easily be understood due to the fact that a 300GB database backup for instance, using regular a SQL 2005 backup statement would have run for about 3 hours and have produced ~150GB file (depending on the content, of course).  Then you take a 3rd party tool which performs the same backup in 30 minutes resulting in a 30GB file leaving you speechless, you run to management persuading them to buy it due to the fact that it is definitely worth the price. In addition to the increased speed and disk space savings you would also get backup file encryption and virtual restore -  features that are still missing from the SQL server. But in case you, as well as me, don’t need these additional features and only want a tool that performs a full backup MUCH faster AND produces a far smaller backup file (like the gain you observed back in SQL 2005 days) you will be quite disappointed. SQL Server backup compression feature has totally changed the market picture. Medium size database. Take a look at the table below, check out how my SQL server 2008 R2 compares to other tools when backing up a 300GB database. It appears that when talking about the backup speed, SQL 2008 R2 compresses and performs backup in similar overall times as all three other tools. 3rd party tools maximum compression level takes twice longer. Backup file gain is not that impressive, except the highest compression levels but the price that you pay is very high cpu load and much longer time. Only SQL Safe by Idera was quite fast with it’s maximum compression level but most of the run time have used 95% cpu on the server. Note that I have used two types of destination storage, SATA 11 disks and FC 53 disks and, obviously, on faster storage have got my backup ready in half time. Looking at the above results, should we spend money, bother with another layer of complexity and software middle-man for the medium sized databases? I’m definitely not going to do so.  Very large database As a next phase of this benchmark, I have moved to a 6 terabyte database which was actually my main backup target. Note, how multiple files usage enables the SQL Server backup operation to use parallel I/O and remarkably increases it’s speed, especially when the backup device is heavily striped. SQL Server supports a maximum of 64 backup devices for a single backup operation but the most speed is gained when using one file per CPU, in the case above 8 files for a 2 Quad CPU server. The impact of additional files is minimal.  However, SQLsafe doesn’t show any speed improvement between 4 files and 8 files. Of course, with such huge databases every half percent of the compression transforms into the noticeable numbers. Saving almost 470GB of space may turn the backup tool into quite valuable purchase. Still, the backup speed and high CPU are the variables that should be taken into the consideration. As for us, the backup speed is more critical than the storage and we cannot allow a production server to sustain 95% cpu for such a long time. Bottomline, 3rd party backup tool developers, we are waiting for some breakthrough release. There are a few unanswered questions, like the restore speed comparison between different tools and the impact of multiple backup files on restore operation. Stay tuned for the next benchmarks.    Benchmark server: SQL Server 2008 R2 sp1 2 Quad CPU Database location: NetApp FC 15K Aggregate 53 discs Backup statements: No matter how good that UI is, we need to run the backup tasks from inside of SQL Server Agent to make sure they are covered by our monitoring systems. I have used extended stored procedures (command line execution also is an option, I haven’t noticed any impact on the backup performance). SQL backup LiteSpeed SQL Backup SQL safe backup database <DBNAME> to disk= '\\<networkpath>\par1.bak' , disk= '\\<networkpath>\par2.bak', disk= '\\<networkpath>\par3.bak' with format, compression EXECUTE master.dbo.xp_backup_database @database = N'<DBName>', @backupname= N'<DBName> full backup', @desc = N'Test', @compressionlevel=8, @filename= N'\\<networkpath>\par1.bak', @filename= N'\\<networkpath>\par2.bak', @filename= N'\\<networkpath>\par3.bak', @init = 1 EXECUTE master.dbo.sqlbackup '-SQL "BACKUP DATABASE <DBNAME> TO DISK= ''\\<networkpath>\par1.sqb'', DISK= ''\\<networkpath>\par2.sqb'', DISK= ''\\<networkpath>\par3.sqb'' WITH DISKRETRYINTERVAL = 30, DISKRETRYCOUNT = 10, COMPRESSION = 4, INIT"' EXECUTE master.dbo.xp_ss_backup @database = 'UCMSDB', @filename = '\\<networkpath>\par1.bak', @backuptype = 'Full', @compressionlevel = 4, @backupfile = '\\<networkpath>\par2.bak', @backupfile = '\\<networkpath>\par3.bak' If you still insist on using 3rd party tools for the backups in your production environment with maximum compression level, you will definitely need to consider limiting cpu usage which will increase the backup operation time even more: RedGate : use THREADPRIORITY option ( values 0 – 6 ) LiteSpeed : use  @throttle ( percentage, like 70%) SQL safe :  the only thing I have found was @Threads option.   Yours, Maria

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  • Can we have 2 'extension_dir' in php.ini?

    - by Nyxynyx
    When I installed pdo-pgsql, the extension was installed into /usr/lib/php/extensions/no-debug-non-zts-20090626/ and thus not automatically loaded. In php.ini, I have extension_dir = "/usr/local/lib/php/extensions/no-debug-non-zts-20090626" already defined. Snippet of php.ini ; Directory in which the loadable extensions (modules) reside. extension_dir = "/usr/local/lib/php/extensions/no-debug-non-zts-20090626" zend_extension = "/usr/local/IonCube/ioncube_loader_lin_5.3.so" zend_extension = "/usr/local/Zend/lib/Guard-5.5.0/php-5.3.x/ZendGuardLoader.so" extension = "eaccelerator.so" extension = "pdo.so" extension = "pdo_pgsql.so" extension = "pdo_sqlite.so" extension = "sqlite.so" extension = "pdo_mysql.so" Modified to work ; Directory in which the loadable extensions (modules) reside. extension_dir = "/usr/local/lib/php/extensions/no-debug-non-zts-20090626" extension_dir = "/usr/lib/php/extensions/no-debug-non-zts-20090626" zend_extension = "/usr/local/IonCube/ioncube_loader_lin_5.3.so" zend_extension = "/usr/local/Zend/lib/Guard-5.5.0/php-5.3.x/ZendGuardLoader.so" extension = "eaccelerator.so" extension = "pdo.so" extension = "pdo_pgsql.so" extension = "pdo_sqlite.so" extension = "sqlite.so" extension = "pdo_mysql.so" Why did PECL install pdo-pgsql into the 2nd extension directory and not the first? Is it recommended to have 2 extension_dir as shown in the 2nd code snippet above?

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  • Strange DNS issue with internal Windows DNS

    - by Brady
    I've encountered a strange issue with our internal Windows DNS infrastructure. We have a website hosted on Amazon EC2 with the DNS running on Amazon Route 53. In the publicly facing DNS we have the wildcard record setup as an A record Alias pointing to an AWS Elastic Load Balancer sitting in front of our EC2 instances. For those who are not aware, the A record Alias behaves like a CNAME record, however no extra lookup is required on the client side (See http://docs.amazonwebservices.com/Route53/latest/DeveloperGuide/CreatingAliasRRSets.html for more information). We have a secondary domain that has the www subdomain as a CNAME pointing to a subdomain on the primary domain, which resolves against the wildcard entry. For example the subdomain www.secondary.com is a CNAME to sub1.primary.com, but there is no explicit entry for sub1.primary.com, so it resolves to wildcard record. This setup work without issue publicly. The issue comes in our internal DNS at our corporate office where we use the same primary domain for some internal only facing sites. In this setup we have two Active Directory DNS servers with one Server 2003 and one Server 2008 R2 instance. The zone is an AD integrated zone, but it is not the AD domain. In the internal DNS we have the wildcard record pointing to a third external domain, that is also hosted on Route 53 with an A record Alias pointing to the same ELB instance. For example, *.primary.com is a CNAME to tertiary.com, so in effect you have www.secondary.com as a CNAME to *.primary.com, which is a CNAME to tertiary.com. In this setup, attempting to resolve www.secondary.com will fail. Clearing the cache on the Server 2003 instance will allow it to resolve once, but subsequent attempts will fail. It fails even with a clean cache against the 2008 R2 server. It seems that only Windows clients are affected. A Mac running OSX Mountain Lion does not experience this issue. I'm even able to replicate the issue using nslookup. Against the 2003 server, with a freshly cleaned cache, I recieve the appropriate response from www.secondary.com: Non-authoritative answer: Name: subdomain.primary.com Address: x.x.x.x (Public IP) Aliases: www.secondary.com Subsequent checks simply return: Non-authoritative answer: Name: www.secondary.com If you set the type to CNAME you get the appropriate responses all the time. www.secondary.com gives you: Non-authoritative answer: www.secondary.com canonical name = subdomain.primary.com And subdomain.primary.com gives you: subdomain.primary.com canonical name = tertiary.com And setting type back to A gives you the appropriate response for tertiary.com: Non-authoritative answer: Name: tertiary.com Address: x.x.x.x (Public IP) Against the 2008 R2 server things are a little different. Even with a clean cache, www.secondary.com returns just: Non-authoritative answer: Name: www.secondary.com The CNAME records are returned appropriately. www.secondary.com returns: Non-authoritative answer: www.secondary.com canonical name = subdomain.primary.com And subdomain.primary.com gives you: subdomain.primary.com canonical name = tertiary.com tertiary.com internet address = x.x.x.x (Public IP) tertiary.com AAAA IPv6 address = x::x (Public IPv6) And setting type back to A gives you the appropriate response for tertiary.com: Non-authoritative answer: Name: tertiary.com Address: x.x.x.x (Public IP) Requests directly against subdomain.primary.com work correctly.

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  • Does Ubuntu 11.10 include MySQL 5.5?

    - by Jiho Kang
    I was told that Ubuntu 11.10 comes with MySQL 5.5 but it doesn't show up in the cache search. Did it not make it in to the latest release? root@ubuntu:/etc# cat lsb-release DISTRIB_ID=Ubuntu DISTRIB_RELEASE=11.10 DISTRIB_CODENAME=oneiric DISTRIB_DESCRIPTION="Ubuntu 11.10" root@ubuntu:/etc# apt-cache search mysql-server mysql-server - MySQL database server (metapackage depending on the latest version) mysql-server-5.1 - MySQL database server binaries and system database setup mysql-server-core-5.1 - MySQL database server binaries auth2db - Powerful and eye-candy IDS logger, log viewer and alert generator cacti - Frontend to rrdtool for monitoring systems and services mysql-cluster-server - MySQL database server (metapackage depending on the latest version) mysql-cluster-server-5.1 - MySQL database server binaries torrentflux - web based, feature-rich BitTorrent download manager

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  • Failover tmpfs mirroring. Am I doing it right?

    - by user45286
    My goal is to have a certain directory to be available as tmpfs. There will be some modifications during server uptime in this dir and those modifications must be synced to non-tmpfs persistent dir on HDD over rsync. After server boot the latest version from non-tmpfs persistent dir must be moved to tmpfs and rsync syncing to be started. I'm afraid that rsync will erase non-tmpfs backup if tmpfs dir will be empty.. I'm doing it in this way right now: create tmpfs partition in /etc/fstab cat /etc/rc.local (pseudocode) delete "tmpfs rsync" cronjob from /var/spool/cron/crontabs if there is any cp -r /path/to/non-tmpfs-backup /path/to/tmpfs/dir append /var/spool/cron/crontabs with "tmpfs rsync" cronjob What do you think?

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  • opening Dbf files in oracle 10g

    - by nagaraju
    This nagaraju,from India,Hyderabad. I have installed oracle 10g trail version in my system(E drive),created one database with my name(database:-nagaraju),in that created tables, prodecures ,functions ,sequences etc for my project. Due to some sudden problem,i formatted my machine C drive,now iam not ablle to open my database, i need all procedures ,tables which i created in that. Now I newly installed oracle10g again in another folder,how can i copy my old database into my inew installation database. Or can i copy the script of procedures so that ican run in new database. I have all data in Oradata folder,like DBF files etc. Could you please help me, how to do that?

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  • Why does this login fail for user 'Servername\Guest'?

    - by Metassebia
    I install SQL Server 2005 EXPRESS edition on one computer, Computer Name = 'MyServe' and Database name='MyDB',take it as database server. it is configured as both Database and Windows Authentication Mode. with username=sa and password=adminaa. I have application in C#.Net my connection string is ConnectionString = "Data Source=MyServe\SQLEXPRESS;Initial Catalog=MyDB;Integrated Security=True;User ID=sa;Password=adminaa"; when I run the application on the computer called MyServe, the database server, it works well, while when I install the application on different computer, when it tries to connect the database it gives an error called "login failed for user 'MyServe\Guest" what is wrong with configuration in the database server or other mistakes. please help me. thankyou in advance. Metasebia

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  • snort-mysql not starting on Ubuntu server

    - by Rsaesha
    I am following this tutorial: https://help.ubuntu.com/community/SnortIDS I've set up the database, everything has installed correctly, and I've configured the snort.conf file so it outputs to a database (with creds all filled out ok). When I run /etc/init.d/snort start, it fails but does not produce any error message other than [fail]. The last few lines of /var/log/syslog are: snort[5687]: database: must enter database name in configuration file#012 snort[5687]: FATAL ERROR: My output database line in the snort.conf file is: output database: log, mysql, user=snort password=... dbname=snort host=localhost I have tried it with the commas separating everything, putting quotes around stuff, etc. The password is only made up of letters (after I thought maybe a number was throwing it off).

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  • Make interchangeable class types via pointer casting only, without having to allocate any new objects?

    - by HostileFork
    UPDATE: I do appreciate "don't want that, want this instead" suggestions. They are useful, especially when provided in context of the motivating scenario. Still...regardless of goodness/badness, I've become curious to find a hard-and-fast "yes that can be done legally in C++11" vs "no it is not possible to do something like that". I want to "alias" an object pointer as another type, for the sole purpose of adding some helper methods. The alias cannot add data members to the underlying class (in fact, the more I can prevent that from happening the better!) All aliases are equally applicable to any object of this type...it's just helpful if the type system can hint which alias is likely the most appropriate. There should be no information about any specific alias that is ever encoded in the underlying object. Hence, I feel like you should be able to "cheat" the type system and just let it be an annotation...checked at compile time, but ultimately irrelevant to the runtime casting. Something along these lines: Node<AccessorFoo>* fooPtr = Node<AccessorFoo>::createViaFactory(); Node<AccessorBar>* barPtr = reinterpret_cast< Node<AccessorBar>* >(fooPtr); Under the hood, the factory method is actually making a NodeBase class, and then using a similar reinterpret_cast to return it as a Node<AccessorFoo>*. The easy way to avoid this is to make these lightweight classes that wrap nodes and are passed around by value. Thus you don't need casting, just Accessor classes that take the node handle to wrap in their constructor: AccessorFoo foo (NodeBase::createViaFactory()); AccessorBar bar (foo.getNode()); But if I don't have to pay for all that, I don't want to. That would involve--for instance--making a special accessor type for each sort of wrapped pointer (AccessorFooShared, AccessorFooUnique, AccessorFooWeak, etc.) Having these typed pointers being aliased for one single pointer-based object identity is preferable, and provides a nice orthogonality. So back to that original question: Node<AccessorFoo>* fooPtr = Node<AccessorFoo>::createViaFactory(); Node<AccessorBar>* barPtr = reinterpret_cast< Node<AccessorBar>* >(fooPtr); Seems like there would be some way to do this that might be ugly but not "break the rules". According to ISO14882:2011(e) 5.2.10-7: An object pointer can be explicitly converted to an object pointer of a different type.70 When a prvalue v of type "pointer to T1" is converted to the type "pointer to cv T2", the result is static_cast(static_cast(v)) if both T1 and T2 are standard-layout types (3.9) and the alignment requirements of T2 are no stricter than those of T1, or if either type is void. Converting a prvalue of type "pointer to T1" to the type "pointer to T2" (where T1 and T2 are object types and where the alignment requirements of T2 are no stricter than those of T1) and back to its original type yields the original pointer value. The result of any other such pointer conversion is unspecified. Drilling into the definition of a "standard-layout class", we find: has no non-static data members of type non-standard-layout-class (or array of such types) or reference, and has no virtual functions (10.3) and no virtual base classes (10.1), and has the same access control (clause 11) for all non-static data members, and has no non-standard-layout base classes, and either has no non-static data member in the most-derived class and at most one base class with non-static data members, or has no base classes with non-static data members, and has no base classes of the same type as the first non-static data member. Sounds like working with something like this would tie my hands a bit with no virtual methods in the accessors or the node. Yet C++11 apparently has std::is_standard_layout to keep things checked. Can this be done safely? Appears to work in gcc-4.7, but I'd like to be sure I'm not invoking undefined behavior.

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  • SQL SERVER – What is AdventureWorks?

    - by pinaldave
    NOTE: If you know the answer of this question, then I request you to stop reading this post right now. Please do not leave comment about this blog post not being useful to you, if you knew the answer. Few days ago, I received DM asking What is an AdventureWorks database and why in all the examples I use that instead of any other database (e.g. Pubs or  Northwind)? As matter of fact, when I went back to my question list, which I have yet not answered, there were a few more variations of this same question. AdventureWorks is a Sample Database shipped with SQL Server and it can be downloaded from http://codeplex.com site. AdventureWorks has replaced Northwind and Pubs from the sample database in SQL Server 2005. The Microsoft team keeps updating the sample database as they release new versions. Here are some quick links: AdventureWorks SQL Server 2008 SR4 AdventureWorks 2008R2 November CTP AdventureWorks for SQL Azure (December CTP) AventureWorks for SQL Server 2005 SP2A SQL SERVER – 2008 – Download and Install Samples Database AdventureWorks 2005 – Detail Tutorial I have previously written few other articles on the same subject; you can find them easily here: [email protected] Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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