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• How do I use Java to sort surnames in alphabetical order from file to file?

  - by user577939

  I have written this code and don't know how to sort surnames in alphabetical order from my file to another file. import java.io.*; import java.util.*; class Asmuo { String pavarde; String vardas; long buvLaikas; int atv1; int atv2; int atv3; } class Irasas { Asmuo duom; Irasas kitas; } class Sarasas { private Irasas p; Sarasas() { p = null; } Irasas itrauktiElementa(String pv, String v, long laikas, int d0, int d1, int d2) { String pvrd, vrd; int data0; int data1; int data2; long lks; lks = laikas; pvrd = pv; vrd = v; data0 = d0; data1 = d1; data2 = d2; Irasas r = new Irasas(); r.duom = new Asmuo(); uzpildymasDuomenimis(r, pvrd, vrd, lks, d0, d1, d2); r.kitas = p; p = r; return r; } void uzpildymasDuomenimis(Irasas r, String pv, String v, long laik, int d0, int d1, int d2) { r.duom.pavarde = pv; r.duom.vardas = v; r.duom.atv1 = d0; r.duom.buvLaikas = laik; r.duom.atv2 = d1; r.duom.atv3 = d2; } void spausdinti() { Irasas d = p; int i = 0; try { FileWriter fstream = new FileWriter("rez.txt"); BufferedWriter rez = new BufferedWriter(fstream); while (d != null) { System.out.println(d.duom.pavarde + " " + d.duom.vardas + " " + d.duom.buvLaikas + " " + d.duom.atv1 + " " + d.duom.atv2 + " " + d.duom.atv3); rez.write(d.duom.pavarde + " " + d.duom.vardas + " " + d.duom.buvLaikas + " " + d.duom.atv1 + " " + d.duom.atv2 + " " + d.duom.atv3 + "\n"); d = d.kitas; i++; } rez.close(); } catch (Exception e) { System.err.println("Error: " + e.getMessage()); } } } public class Gyventojai { public static void main(String args[]) { Sarasas sar = new Sarasas(); Calendar atv = Calendar.getInstance(); Calendar isv = Calendar.getInstance(); try { FileInputStream fstream = new FileInputStream("duom.txt"); DataInputStream in = new DataInputStream(fstream); BufferedReader br = new BufferedReader(new InputStreamReader(in)); String eil; while ((eil = br.readLine()) != null) { String[] cells = eil.split(" "); String pvrd = cells[0]; String vrd = cells[1]; atv.set(Integer.parseInt(cells[2]), Integer.parseInt(cells[3]), Integer.parseInt(cells[4])); isv.set(Integer.parseInt(cells[5]), Integer.parseInt(cells[6]), Integer.parseInt(cells[7])); long laik = (isv.getTimeInMillis() - atv.getTimeInMillis()) / (24 * 60 * 60 * 1000); int d0 = Integer.parseInt(cells[2]); int d1 = Integer.parseInt(cells[3]); int d2 = Integer.parseInt(cells[4]); sar.itrauktiElementa(pvrd, vrd, laik, d0, d1, d2); } in.close(); } catch (Exception e) { System.err.println("Error: " + e.getMessage()); } sar.spausdinti(); } }

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• How do I process the largest match first in PHP?

  - by animuson

  Ok, so I tried searching around first but I didn't exactly know how to word this question or a search phrase. Let me explain. I have data that looks like this: <!-- data:start --> <!-- 0:start --> <!-- 0:start -->0,9<!-- 0:stop --> <!-- 1:start -->0,0<!-- 1:stop --> <!-- 2:start -->9,0<!-- 2:stop --> <!-- 3:start -->9,9<!-- 3:stop --> <!-- 4:start -->0,9<!-- 4:stop --> <!-- 0:stop --> <!-- 1:start --> <!-- 0:start -->1,5<!-- 0:stop --> <!-- 1:start -->1,6<!-- 1:stop --> <!-- 2:start -->3,6<!-- 2:stop --> <!-- 3:start -->3,8<!-- 3:stop --> <!-- 4:start -->4,8<!-- 4:stop --> <!-- 1:stop --> <!-- 2:start --> <!-- 0:start -->0,7<!-- 0:stop --> <!-- 1:start -->1,7<!-- 1:stop --> <!-- 2:stop --> <!-- data:stop --> So it's basically a bunch of points. Here is the code I'm currently using to try and parse it so that it would create an array like so: Array ( 0 => Array ( 0 => "0,9", 1 => "0,0", 2 => "9,0", 3 => "9,9", 4 => "0,9" ), 1 => Array ( 0 => "1,5", 1 => "1,6", 2 => "3,6", 3 => "3,8", 4 => "4,8" ), 2 => Array ( 0 => "0,7", 1 => "1,7" ) ) However, it is returning an array that looks like this: Array ( 0 => "0,9", 1 => "0,0", 2 => "9,0" ) Viewing the larger array that I have on my screen, you see that it's setting the first instance of that variable when matching. So how do I get it to find the widest match first and then process the insides. Here is the function I am currently using: function explosion($text) { $number = preg_match_all("/(<!-- ([\w]+):start -->)\n?(.*?)\n?(<!-- \\2:stop -->)/s", $text, $matches, PREG_SET_ORDER); if ($number == 0) return $text; else unset($item); foreach ($matches as $item) if (empty($data[$item[2]])) $data[$item[2]] = $this->explosion($item[3]); return $data; } I'm sure it will be something stupid and simple that I've overlooked, but that just makes it an easy answer for you I suppose.

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• Queued Loadtest to remove Concurrency issues using Shared Data Service in OpenScript

  - by stefan.thieme(at)oracle.com

  Queued Processing to remove Concurrency issues in Loadtest ScriptsSome scripts act on information returned by the server, e.g. act on first item in the returned list of pending tasks/actions. This may lead to concurrency issues if the virtual users simulated in a load test scenario are not synchronized in some way.As the load test cases should be carried out in a comparable and straight forward manner simply cancel a transaction in case a collision occurs is clearly not an option. In case you increase the number of virtual users this approach would lead to a high number of requests for the early steps in your transaction (e.g. login, retrieve list of action points, assign an action point to the virtual user) but later steps would be rarely visited successfully or at all, depending on the application logic.A way to tackle this problem is to enqueue the virtual users in a Shared Data Service queue. Only the first virtual user in this queue will be allowed to carry out the critical steps (retrieve list of action points, assign an action point to the virtual user) in your transaction at any one time.Once a virtual user has passed the critical path it will dequeue himself from the head of the queue and continue with his actions. This does theoretically allow virtual users to run in parallel all steps of the transaction which are not part of the critical path.In practice it has been seen this is rarely the case, though it does not allow adding more than N users to perform a transaction without causing delays due to virtual users waiting in the queue. N being the time of the total transaction divided by the sum of the time of all critical steps in this transaction.While this problem can be circumvented by allowing multiple queues to act on individual segments of the list of actions, e.g. per country filter, ends with 0..9 filter, etc.This would require additional handling of these additional queues of slots for the virtual users at the head of the queue in order to maintain the mutually exclusive access to the first element in the list returned by the server at any one time of the load test. Such an improved handling of multiple queues and/or multiple slots is above the subject of this paper.Shared Data Services Pre-RequisitesStart WebLogic Server to host Shared Data ServicesYou will have to make sure that your WebLogic server is installed and started. Shared Data Services may not work if you installed only the minimal installation package for OpenScript. If however you installed the default package including OLT and OTM, you may follow the instructions below to start and verify WebLogic installation.To start the WebLogic Server deployed underneath of Oracle Load Testing and/or Oracle Test Manager you can go to your Start menu, Oracle Application Testing Suite and select the Restart Oracle Application Testing Suite Application Service entry from the Tools submenu.To verify the service has been started you can run the Microsoft Management Console for Services by Selecting Run from the Start Menu and entering services.msc. Look for the entry that reads Oracle Application Testing Suite Application Service, once it has changed it status from Starting to Started you can proceed to verify the login. Please note that this may take several minutes, I would say up to 10 minutes depending on the strength of your CPU horse-power.Verify WebLogic Server user credentialsYou will have to make sure that your WebLogic Server is installed and started. Next open the Oracle WebLogic Server Adminstration Console on http://localhost:8088/console.It may take a while until the application is deployed and started. It may display the following until the Administration Console has been deployed on the fly.Afterwards you can login using the username oats and the password that you selected during install time for your Application Testing Suite administrative purposes.This will bring up the Home page of you WebLogic Server. You have actually verified that you are able to login with these credentials already. However if you want to check the details, navigate to Security Realms, myrealm, Users and Groups tab.Here you could add users to your WebLogic Server which could be used in the later steps. Details on the Groups required for such a custom user to work are exceeding this quick overview and have to be selected with the WebLogic Server Adminstration Guide in mind.Shared Data Services pre-requisites for Load testingOpenScript Preferences have to be set to enable Encryption and provide a default Shared Data Service Connection for Playback.These are pre-requisites you want to use for load testing with Shared Data Services.Please note that the usage of the Connection Parameters (individual directive in the script) for Shared Data Services did not playback reliably in the current version 9.20.0370 of Oracle Load Testing (OLT) and encryption of credentials still seemed to be mandatory as well.General Encryption settingsSelect OpenScript Preferences from the View menu and navigate to the General, Encryption entry in the tree on the left. Select the Encrypt script data option from the list and enter the same password that you used for securing your WebLogic Server Administration Console.Enable global shared data access credentialsSelect OpenScript Preferences from the View menu and navigate to the Playback, Shared Data entry in the tree on the left. Enable the global shared data access credentials and enter the Address, User name and Password determined for your WebLogic Server to host Shared Data Services.Please note, that you may want to replace the localhost in Address with the hosts realname in case you plan to run load tests with Loadtest Agents running on remote systems.Queued Processing of TransactionsEnable Shared Data Services Module in Script PropertiesThe Shared Data Services Module has to be enabled for each Script that wants to employ the Shared Data Service Queue functionality in OpenScript. It can be enabled under the Script menu selecting Script Properties. On the Script Properties Dialog select the Modules section and check Shared Data to enable Shared Data Service Module for your script. Checking the Shared Data Services option will effectively add a line to your script code that adds the sharedData ScriptService to your script class of IteratingVUserScript.@ScriptService oracle.oats.scripting.modules.sharedData.api.SharedDataService sharedData;Record your scriptRecord your script as usual and then add the following things for Queue handling in the Initialize code block, before the first step and after the last step of your critical path and in the Finalize code block.The java code to be added at individual locations is explained in the following sections in full detail.Create a Shared Data Queue in InitializeTo create a Shared Data Queue go to the Java view of your script and enter the following statements to the initialize() code block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);This will create an instantiation of the Shared Data Queue object named queueA which is maintained for upto 120 minutes.If you want to use the code for multiple scripts, make sure to use a different queue name for each one here and in the subsequent steps. You may even consider to use a dynamic queueName based on filters of your result list being concurrently accessed.Prepare a unique id for each IterationIn order to keep track of individual virtual users in our queue we need to create a unique identifier from the virtual user id and the used username right after retrieving the next record from our databank file.getDatabank("Usernames").getNextDatabankRecord();getVariables().set("usernameValue1","VU_{{@vuid}}_{{@iterationnum}}_{{db.Usernames.Username}}_{{@timestamp}}_{{@random(10000)}}");String usernameValue = getVariables().get("usernameValue1");info("Now running virtual user " + usernameValue);As you can see from the above code block, we have set the OpenScript variable usernameValue1 to VU_{{@vuid}}_{{@iterationnum}}_{{db.Usernames.Username}}_{{@timestamp}}_{{@random(10000)}} which is a concatenation of the virtual user id and the iterationnumber for general uniqueness; as well as the username from our databank, the timestamp and a random number for making it further unique and ease spotting of errors.Not all of these fields are actually required to make it really unique, but adding the queue name may also be considered to help troubleshoot multiple queues.The value is then retrieved with the getVariables.get() method call and assigned to the usernameValue String used throughout the script.Please note that moving the getDatabank("Usernames").getNextDatabankRecord(); call to the initialize block was later considered to remove concurrency of multiple virtual users running with the same userid and therefor accessing the same "My Inbox" in step 6. This will effectively give each virtual user a userid from the databank file. Make sure you have enough userids to remove this second hurdle.Enqueue and attend Queue before Critical PathTo maintain the right order of virtual users being allowed into the critical path of the transaction the following pseudo step has to be added in front of the first critical step. In the case of this example this is right in front of the step where we retrieve the list of actions from which we select the first to be assigned to us.beginStep("[0] Waiting in the Queue", 0);{info("Enqueued virtual user " + usernameValue + " at the end of queueA");sharedData.offerLast("queueA", usernameValue);info("Wait until the user is the first in queueA");String queueValue1 = null;do {// we wait for at least 0.7 seconds before we check the head of the// queue. This is the time it takes one user to move through the// critical path, i.e. pass steps [5] Enter country and [6] Assign// to meThread.sleep(700);queueValue1 = (String) sharedData.peekFirst("queueA");info("The first user in queueA is currently: '" + queueValue1 + "' " + queueValue1.getClass() + " length " + queueValue1.length() );info("The current user is '"+ usernameValue + "' " + usernameValue.getClass() + " length " + usernameValue.length() + ": indexOf " + usernameValue.indexOf(queueValue1) + " equals " + usernameValue.equals(queueValue1) );} while ( queueValue1.indexOf(usernameValue) < 0 );info("Now the user is the first in queueA");}endStep();This will enqueue the username to the tail of our Queue. It will will wait for at least 700 milliseconds, the time it takes for one user to exit the critical path and then compare the head of our queue with it's username. This last step will be repeated while the two are not equal (indexOf less than zero). If they are equal the indexOf will yield a value of zero or larger and we will perform the critical steps.Dequeue after Critical PathAfter the virtual user has left the critical path and complete its last step the following code block needs to dequeue the virtual user. In the case of our example this is right after the action has been actually assigned to the virtual user. This will allow the next virtual user to retrieve the list of actions still available and in turn let him make his selection/assignment.info("Get and remove the current user from the head of queueA");String pollValue1 = (String) sharedData.pollFirst("queueA");The current user is removed from the head of the queue. The next one will now be able to match his username against the head of the queue.Clear and Destroy Queue for FinishWhen the script has completed, it should clear and destroy the queue. This code block can be put in the finish block of your script and/or in a separate script in order to clear and remove the queue in case you have spotted an error or want to reset the queue for some reason.info("Clear queueA");sharedData.clearQueue("queueA");info("Destroy queueA");sharedData.destroyQueue("queueA");The users waiting in queueA are cleared and the queue is destroyed. If you have scripts still executing they will be caught in a loop.I found it better to maintain a separate Reset Queue script which contained only the following code in the initialize() block. I use to call this script to make sure the queue is cleared in between multiple Loadtest runs. This script could also even be added as the first in a larger scenario, which would execute it only once at very start of the Loadtest and make sure the queues do not contain any stale entries.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);info("Clear queueA");sharedData.clearQueue("queueA");This will create a Shared Data Queue instance of queueA and clear all entries from this queue.Monitoring QueueWhile creating the scripts it was useful to monitor the contents, i.e. the current first user in the Queue. The following code block will make sure the Shared Data Queue is accessible in the initialize() block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);In the run() block the following code will continuously monitor the first element of the Queue and write an informational message with the current username Value to the Result window.info("Monitor the first users in queueA");String queueValue1 = null;do {queueValue1 = (String) sharedData.peekFirst("queueA");if (queueValue1 != null)info("The first user in queueA is currently: '" + queueValue1 + "' " + queueValue1.getClass() + " length " + queueValue1.length() );} while ( true );This script can be run from OpenScript parallel to a loadtest performed by the Oracle Load Test.However it is not recommend to run this in a production loadtest as the performance impact is unknown. Accessing the Queue's head with the peekFirst() method has been reported with about 2 seconds response time by both OpenScript and OTL. It is advised to log a Service Request to see if this could be lowered in future releases of Application Testing Suite, as the pollFirst() and even offerLast() writing to the tail of the Queue usually returned after an average 0.1 seconds.Debugging QueueWhile debugging the scripts the following was useful to remove single entries from its head, i.e. the current first user in the Queue. The following code block will make sure the Shared Data Queue is accessible in the initialize() block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);In the run() block the following code will remove the first element of the Queue and write an informational message with the current username Value to the Result window.info("Get and remove the current user from the head of queueA");String pollValue1 = (String) sharedData.pollFirst("queueA");info("The first user in queueA was currently: '" + pollValue1 + "' " + pollValue1.getClass() + " length " + pollValue1.length() );ReferencesOracle Functional Testing OpenScript User's Guide Version 9.20 [E15488-05]Chapter 17 Using the Shared Data Modulehttp://download.oracle.com/otn/nt/apptesting/oats-docs-9.21.0030.zipOracle Fusion Middleware Oracle WebLogic Server Administration Console Online Help 11g Release 1 (10.3.4) [E13952-04]Administration Console Online Help - Manage users and groupshttp://download.oracle.com/docs/cd/E17904_01/apirefs.1111/e13952/taskhelp/security/ManageUsersAndGroups.htm

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• How do you get Matlab to write the BOM (byte order markers) for UTF-16 text files?

  - by Richard Povinelli

  I am creating UTF16 text files with Matlab, which I am later reading in using Java. In Matlab, I open a file called fileName and write to it as follows: fid = fopen(fileName, 'w','n','UTF16-LE'); fprintf(fid,"Some stuff."); In Java, I can read the text file using the following code: FileInputStream fileInputStream = new FileInputStream(fileName); Scanner scanner = new Scanner(fileInputStream, "UTF-16LE"); String s = scanner.nextLine(); Here is the hex output: Offset(h) 00 01 02 03 04 05 06 07 08 09 0A 0B 0C 0D 0E 0F 10 11 12 13 00000000 73 00 6F 00 6D 00 65 00 20 00 73 00 74 00 75 00 66 00 66 00 s.o.m.e. .s.t.u.f.f. The above approach works fine. But, I want to be able to write out the file using UTF16 with a BOM to give me more flexibility so that I don't have to worry about big or little endian. In Matlab, I've coded: fid = fopen(fileName, 'w','n','UTF16'); fprintf(fid,"Some stuff."); In Java, I change the code to: FileInputStream fileInputStream = new FileInputStream(fileName); Scanner scanner = new Scanner(fileInputStream, "UTF-16"); String s = scanner.nextLine(); In this case, the string s is garbled, because Matlab is not writing the BOM. I can get the Java code to work just fine if I add the BOM manually. With the added BOM, the following file works fine. Offset(h) 00 01 02 03 04 05 06 07 08 09 0A 0B 0C 0D 0E 0F 10 11 12 13 14 15 00000000 FF FE 73 00 6F 00 6D 00 65 00 20 00 73 00 74 00 75 00 66 00 66 00 ÿþs.o.m.e. .s.t.u.f.f. How can I get Matlab to write out the BOM? I know I could write the BOM out separately, but I'd rather have Matlab do it automatically. Addendum I selected the answer below from Amro because it exactly solves the question I posed. One key discovery for me was the difference between the Unicode Standard and a UTF (Unicode transformation format) (see http://unicode.org/faq/utf_bom.html). The Unicode Standard provides unique identifiers (code points) for characters. UTFs provide mappings of every code point "to a unique byte sequence." Since all but a handful of the characters I am using are in the first 128 code points, I'm going to switch to using UTF-8 as Romeo suggests. UTF-8 is supported by Matlab (The warning shown below won't need to be suppressed.) and Java, and for my application will generate smaller text files. I suppress the Matlab warning Warning: The encoding 'UTF-16LE' is not supported. with warning off MATLAB:iofun:UnsupportedEncoding;

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• XSLT apply templates in different order of xml reading.

  - by David

  I am new to this, so please bear with me... If we have the following xml fragment: <docXML> <PARRAFO orden='1' tipo='parrafo'> <dato> <etiqueta>Título</etiqueta> <tipo>TextBox</tipo> <valor>¿Cuándo solicitar el consejo genético?</valor> <longitud>1500</longitud> <comentario></comentario> <enlace></enlace> <target_enlace>I</target_enlace> </dato> <dato> <etiqueta>Texto</etiqueta> <tipo>Resumen</tipo> <valor>Resumen text</valor> <longitud>8000</longitud> <comentario></comentario> <enlace></enlace> <target_enlace></target_enlace> </dato> <dato> <etiqueta>Imagen</etiqueta> <tipo>TextBox</tipo> <valor>http://url/Imagenes/7D2BE6480CF4486CA288A75932606181.jpg</valor> <longitud>1500</longitud> <comentario></comentario> <enlace></enlace> <target_enlace>I</target_enlace> </dato> </PARRAFO> <PARRAFO orden='1' tipo='parrafo'> <dato> <etiqueta>Título</etiqueta> <tipo>TextBox</tipo> <valor>TextBox text</valor> <longitud>1500</longitud> <comentario></comentario> <enlace></enlace> <target_enlace>I</target_enlace> </dato> <dato> <etiqueta>Texto</etiqueta> <tipo>Resumen</tipo> <valor>Resumen text</valor> <longitud>8000</longitud> <comentario></comentario> <enlace></enlace> <target_enlace></target_enlace> </dato> </PARRAFO> </docXML> .. I am going to apply templates to each section depending on the value of the label "etiqueta" per node "dato" in "PARRAFO" by using the following XSLT: <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:msxsl="urn:schemas-microsoft-com:xsl" exclude-result-prefixes="msxsl"> <xsl:output method="html" encoding="iso-8859-1"/> <xsl:template match="/"> <xsl:variable name="xml-doc-parrafo" select="documentoXML/PARRAFO"/> <!-- PARRAFOS --> <xsl:choose> <xsl:when test="count($xml-doc-parrafo)>0"> <div class="seccion_1"> <xsl:for-each select="$xml-doc-parrafo"> <xsl:choose> <xsl:when test="self::node()[@tipo = 'parrafo']"> <div class="parrafo"> <xsl:for-each select="self::node()[@tipo = 'parrafo']/dato"> <xsl:variable name="dato" select="self::node()[@tipo = 'parrafo']/dato"/> <xsl:variable name="nextdato" select="following::dato[1]/@etiqueta"/> <xsl:choose> <xsl:when test="etiqueta = 'Título'"> <xsl:call-template name="imprimeTituloParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:when test="etiqueta = 'Subtitulo'"> <xsl:call-template name="imprimeSubtituloParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:when test="etiqueta = 'Imagen'"> <xsl:call-template name="imprimeImagenParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:when test="etiqueta = 'Pie Imagen'"> <xsl:call-template name="imprimePieImagenParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:when test="etiqueta = 'Texto'"> <xsl:call-template name="imprimeTextoParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:when test="etiqueta = 'Pie Parrafo'"> <xsl:call-template name="imprimePieParrafo"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> </xsl:choose> </xsl:for-each> </div> </xsl:when> </xsl:choose> </xsl:for-each> </div> </xsl:when> <!-- si no hay resultados --> <xsl:otherwise> <br></br> <p style="text-align:center;">El documento no contiene datos.</p> </xsl:otherwise> </xsl:choose> </xsl:template> <xsl:template name="imprimeTituloParrafo"> <xsl:param name="etiqueta"></xsl:param> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <h2 class="titulo"> <xsl:choose> <xsl:when test="string-length($enlace) > 0"> <xsl:call-template name="imprimeEnlace"> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:otherwise> <xsl:value-of select="$valor"/> </xsl:otherwise> </xsl:choose> </h2> </xsl:template> <xsl:template name="imprimeSubtituloParrafo"> <xsl:param name="etiqueta"></xsl:param> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <h3 class="subtitulo"> <xsl:choose> <xsl:when test="string-length($enlace) > 0"> <xsl:call-template name="imprimeEnlace"> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:otherwise> <xsl:value-of select="$valor"/> </xsl:otherwise> </xsl:choose> </h3> </xsl:template> <xsl:template name="imprimeTextoParrafo"> <xsl:param name="etiqueta"></xsl:param> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <div class="texto"> <p class="texto"> <xsl:copy-of select="$valor/node()"/> </p> </div> </xsl:template> <xsl:template name="imprimeImagenParrafo"> <xsl:param name="etiqueta"></xsl:param> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="comentario"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <xsl:choose> <xsl:when test="string-length($enlace) = 0"> <xsl:call-template name="imprimeImagen"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </xsl:when> <xsl:otherwise> <a> <xsl:choose> <xsl:when test="$target_enlace/node() = 'E'"> <xsl:attribute name="target"> <xsl:text>_blank</xsl:text> </xsl:attribute> </xsl:when> <xsl:when test="$target_enlace/node() = 'I'"> <xsl:attribute name="target"> <xsl:text>_self</xsl:text> </xsl:attribute> </xsl:when> </xsl:choose> <xsl:attribute name="href"> <xsl:value-of select="$enlace"/> </xsl:attribute> <xsl:call-template name="imprimeImagen"> <xsl:with-param name="etiqueta" select="etiqueta"></xsl:with-param> <xsl:with-param name="valor" select="valor"></xsl:with-param> <xsl:with-param name="longitud" select="longitud"></xsl:with-param> <xsl:with-param name="comentario" select="comentario"></xsl:with-param> <xsl:with-param name="enlace" select="enlace"></xsl:with-param> <xsl:with-param name="target_enlace" select="target_enlace"></xsl:with-param> </xsl:call-template> </a> </xsl:otherwise> </xsl:choose> </xsl:template> <xsl:template name="imprimeImagen"> <xsl:param name="etiqueta"></xsl:param> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="comentario"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <div class="imagen_pie"> <img> <xsl:attribute name="src"> <xsl:value-of select="$valor"/> </xsl:attribute> <xsl:attribute name="alt"> <xsl:value-of select="$comentario"/> </xsl:attribute> </img> </div> </xsl:template> <xsl:template name="imprimeEnlace"> <xsl:param name="valor"></xsl:param> <xsl:param name="longitud"></xsl:param> <xsl:param name="comentario"></xsl:param> <xsl:param name="enlace"></xsl:param> <xsl:param name="target_enlace"></xsl:param> <a> <xsl:choose> <xsl:when test="$target_enlace/node() = 'E'"> <xsl:attribute name="target"> <xsl:text>_blank</xsl:text> </xsl:attribute> </xsl:when> <xsl:when test="$target_enlace/node() = 'I'"> </xsl:when> <xsl:when test="$target_enlace/node() = 'D'"> </xsl:when> </xsl:choose> <xsl:attribute name="href"> <xsl:value-of select="enlace"/> </xsl:attribute> <xsl:value-of select="$valor"/> </a> </xsl:template> .... </xsl:stylesheet> I need to first apply the template image (if exists in this "PARRAFO") "Imagen" just before the text "Texto" Now apply the template text first and then the image because it is before the text node before the image as shown in xml Thanks a lot!

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• CSS precedence order? My lecture slides are correct or not?

  - by Michael Mao

  Hi all: I've noticed that there are a couple of similar questions and answers at SO already, but let me clarify my specific question here first: I've got lecture slides which states like this: To be frank, I haven't heard of this rule of css precedence myself, and I googled to find something with similar topic but not quite like that : here To have a test myself, I've made a test page on my own server here After running it on FireFox 3.6.3, I am sure it does not show the way as it should be, according to the statement in lecture slides: imported stylesheet ? am I doing it wrong? I cannot see its effect using FireBug it says that embedded stylesheet has a higher precedence over linked/imported stylesheets, however, it doesn't work, if I put the linked/imported tag AFTER that. inline style vs html attributes ? I've got an image where I firstly set its inline style to control the width and height, then use direct html attributes width/height to try modifying that, but failed... Below is the source code : <html> <head> <style type="text/css"> #target { border : 2px solid green; color : green; } </style> <link rel="stylesheet" href="./linked.css" type="text/css" media="screen" /> </head> <body> <div id="target">A targeted div tag on page.</div> <img src="cat.jpg" alt="" style="width : 102px; height : 110px;" width="204px" height="220px" /> </body> </html> Can any experienced CSS guys help me figure out if the slide is correct or not? Frankly speaking, I am puzzled myself, as I can clearly see some other "incorrect" statements here and there amongst the slides, such as JavaScript is on client-side (how about server-side JavaScript?) and "Embedded styles are in the head section of a web page "(what the heck? I am not allowed to put it inside the body tag?) Sorry about this silly question, the exam is on TOMORROW, and I now see a lot of things to think about :)

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• How do I select the first row per group in an SQL Query?

  - by mafutrct

  I've got this SQL query: SELECT Foo, Bar, SUM(Values) AS Sum FROM SomeTable GROUP BY Foo, Bar ORDER BY Foo DESC, Sum DESC This results in an output similar to this: 47 1 100 47 0 10 47 2 10 46 0 100 46 1 10 46 2 10 44 0 2 I'd like to have only the first row per Foo and ignore the rest. 47 1 100 46 0 100 44 0 2 How do I do that?

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• CSS div/overflow Question: Why does the first HTML file work but not the second?

  - by kidvid

  Notice how the first HTML/CSS works when you re-size the browser horizontally. It will shrink no further than around 800 pixels, but it will expand as far as you drag the right edge of the browser. It will also correctly overflow the table at the top and scroll it horizontally. The thing I don't like about the first code snippet is where the scrollbar is. I want it to show up within the borders of the fieldset, so even if I narrow the browser down to 800 pixels wide, I can see both the left and right sides of the fieldset's border. The second code snippet is exactly the same as the first except I add another div tag to the mix, inside of the field set and around the grid. Notice how the top fieldset's width won't correctly shrink when you make the viewport of your browser narrower. Any ideas on why it doesn't work, what I can do to get it to work like the first code snippet? I don't think I'm describing this clearly, but if you run the two side by side, and expand and contract the horizontal edge of your browser windows, you'll see the differences between the two. I'm pretty new to CSS and HTML layout, so my understanding of why CSS handles sizing the way it does in some situations is still really confusing to me. Thanks, Adrian Working HTML file: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> <meta http-equiv="Content-Style-Type" content="text/css"></meta> <style type="text/css"> #divBody { margin-top: 5px; top:24px; margin-top: 10px; } #divContainer { top: 5px; position:relative; min-height:100%; #width:expression(document.body.clientWidth < 830? "800": "90%" ); width:90%; min-width: 800px; padding-bottom:70px; } #divMasterGrid { position:relative; margin:5px; top:5px; width:99%; margin:0 auto; overflow-x:scroll; } #divRadioButtonArea { position:relative; top:20px; height:51px; font-size: 12px; width:99%; margin:5px; } </style> <title>TEST TEST</title> </head> <body id="divBody"> <div id="divContainer" class="gridRegion"> <div id="divMasterGrid"> <fieldset style="margin: 5px;"> <legend style="font-size: 12px; color: #000;">Numbers</legend> <table border="1px"> <tr> <td>One </td> <td>Two </td> <td>Three </td> <td>Fout </td> <td>Five </td> <td>Six </td> <td>Seven </td> <td>Eight </td> <td>Nine </td> <td>Ten </td> <td>Eleven </td> <td>Twelve </td> <td>Thirteen </td> <td>Fourteen </td> <td>Fifteen </td> <td>Sixteen </td> <td>Seventeen </td> <td>Eighteen </td> <td>Nineteen </td> <td>Twenty </td> </tr> </table> </fieldset> </div> <div id="divRadioButtonArea"> <fieldset style=" padding-left: 5px;"> <legend style="color: #000; height:auto">Colors</legend> <table style="width:100%;padding-left:5%;padding-right:5%;"> <tr> <td> <input type="radio" name="A" value="Y"/><label>Red</label> </td> <td> <input type="radio" name="O" value="O"/><label>White</label> </td> <td> <input type="radio" name="W"/><label>Blue</label> </td> </tr> </table> </fieldset> </div> </div> </body> </html> Broken HTML file: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/> <meta http-equiv="Content-Style-Type" content="text/css"></meta> <style type="text/css"> #divBody { margin-top: 5px; top:24px; margin-top: 10px; } #divContainer { top: 5px; position:relative; min-height:100%; #width:expression(document.body.clientWidth < 830? "800": "90%" ); width:90%; min-width: 800px; padding-bottom:70px; } #divTopFieldSet { position:relative; margin:5px; top:5px; width:99%; } #divRadioButtonArea { position:relative; top:20px; height:51px; font-size: 12px; width:99%; margin:5px; } #divTable { position:relative; width:99%; margin:5px auto; overflow-x:scroll; } </style> <title>TEST TEST</title> </head> <body id="divBody"> <div id="divContainer" class="gridRegion"> <div id="divTopFieldSet"> <fieldset style="margin: 5px;"> <legend style="font-size: 12px; color: #000;">Numbers</legend> <div id="divTable"> <table border="1px"> <tr> <td>One </td> <td>Two </td> <td>Three </td> <td>Fout </td> <td>Five </td> <td>Six </td> <td>Seven </td> <td>Eight </td> <td>Nine </td> <td>Ten </td> <td>Eleven </td> <td>Twelve </td> <td>Thirteen </td> <td>Fourteen </td> <td>Fifteen </td> <td>Sixteen </td> <td>Seventeen </td> <td>Eighteen </td> <td>Nineteen </td> <td>Twenty </td> </tr> </table> </div> </fieldset> </div> <div id="divRadioButtonArea"> <fieldset style=" padding-left: 5px;"> <legend style="color: #000; height:auto">Colors</legend> <table style="width:100%;padding-left:5%;padding-right:5%;"> <tr> <td> <input type="radio" name="A" value="Y"/><label>Red</label> </td> <td> <input type="radio" name="O" value="O"/><label>White</label> </td> <td> <input type="radio" name="W"/><label>Blue</label> </td> </tr> </table> </fieldset> </div> </div> </body> </html>

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• NOT A DUPLICATE! VS2010 - How to automatically stop compile on first compile error

  - by Ben Robbins

  {rant}First I'd like to say that this IS NOT A DUPLICATE. I've asked this question previously but it got closed as a duplicate when it isn't. This question is SPECIFIC to VS 2010 and the answers to the so-called duplicate work in VS 2008 but not in VS 2010 (at least not for me or anyone I know). So before you go closing something as a duplicate how about you read the question carefully and try the answer for yourself and see if it actually works. Apologies for the rant but there is no obvious way to contact the SO police that closed the issue or get it reopened. {/rant} At work we have a C# solution with over 80 projects. In VS 2008 we use a macro to stop the compile as soon as a project in the solution fails to build (see this question for several options for VS 2005 & VS 2008: http://stackoverflow.com/questions/134796/how-to-automatically-stop-visual-c-build-at-first-compile-error). Is it possible to do the same in VS 2010? What we have found is that in VS 2010 the macros don't work (at least I couldn't get them to work) as it appears that the environment events don't fire in VS 2010. The default behaviour is to continue as far as possible and display a list of errors in the error window. I'm happy for it to stop either as soon as an error is encountered (file-level) or as soon as a project fails to build (project-level). Answers for VS 2010 only please. If the macros do work then a detailed explanation of how to configure them for VS 2010 would be appreciated. Thanks.

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• Firefox adding padding to first image in multiple images, although all images have same styling and size.

  - by Sam Gabriel

  Hey guys, I have this piece of code: while($uno=mysql_fetch_assoc($results)) { echo '<div class="wcapt"><a class="neutral" href="../images.php?id=' . $uno['id'] . '"><img class="pad" src="'. $uno['thumbs'].'" border="0" /></a><br/><center><p>'.$uno['name'].'</p></center></div>'; } And all the images I link to have exactly the same size. Here's the Mainstyles.css div.wcapt { border: 1px solid green; float: left; padding: 0; margin: 3px; font: 11px/1.4em Arial, sans-serif; color: gray; } img.pad { padding: 5px; } a.neutral { display: inline; font-weight: normal; text-transform: none; background-color: transparent; color: white; text-decoration: none; } The problem is that Firefox adds some extra padding to the first image, and only the first image. And this is really annoying. Here's a screenshot of the page:

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• Operating on rows and then on columns of a matrix produces code duplication

  - by Chetan

  I have the following (Python) code to check if there are any rows or columns that contain the same value: # Test rows -> # Check each row for a win for i in range(self.height): # For each row ... firstValue = None # Initialize first value placeholder for j in range(self.width): # For each value in the row if (j == 0): # If it's the first value ... firstValue = b[i][j] # Remember it else: # Otherwise ... if b[i][j] != firstValue: # If this is not the same as the first value ... firstValue = None # Reset first value break # Stop checking this row, there's no win here if (firstValue != None): # If first value has been set # First value placeholder now holds the winning player's code return firstValue # Return it # Test columns -> # Check each column for a win for i in range(self.width): # For each column ... firstValue = None # Initialize first value placeholder for j in range(self.height): # For each value in the column if (j == 0): # If it's the first value ... firstValue = b[j][i] # Remember it else: # Otherwise ... if b[j][i] != firstValue: # If this is not the same as the first value ... firstValue = None # Reset first value break # Stop checking this column, there's no win here if (firstValue != None): # If first value has been set # First value placeholder now holds the winning player's code return firstValue # Return it Clearly, there is a lot of code duplication here. How do I refactor this code? Thanks!

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• How can I implement a splay tree that performs the zig operation last, not first?

  - by Jakob

  For my Algorithms & Data Structures class, I've been tasked with implementing a splay tree in Haskell. My algorithm for the splay operation is as follows: If the node to be splayed is the root, the unaltered tree is returned. If the node to be splayed is one level from the root, a zig operation is performed and the resulting tree is returned. If the node to be splayed is two or more levels from the root, a zig-zig or zig-zag operation is performed on the result of splaying the subtree starting at that node, and the resulting tree is returned. This is valid according to my teacher. However, the Wikipedia description of a splay tree says the zig step "will be done only as the last step in a splay operation" whereas in my algorithm it is the first step in a splay operation. I want to implement a splay tree that performs the zig operation last instead of first, but I'm not sure how it would best be done. It seems to me that such an algorithm would become more complex, seeing as how one needs to find the node to be splayed before it can be determined whether a zig operation should be performed or not. How can I implement this in Haskell (or some other functional language)?

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• How can I introduce a regex action to match the first element in a Catalyst URI ?

  - by RET

  Background: I'm using a CRUD framework in Catalyst that auto-generates forms and lists for all tables in a given database. For example: /admin/list/person or /admin/add/person or /admin/edit/person/3 all dynamically generate pages or forms as appropriate for the table 'person'. (In other words, Admin.pm has actions edit, list, add, delete and so on that expect a table argument and possibly a row-identifying argument.) Question: In the particular application I'm building, the database will be used by multiple customers, so I want to introduce a URI scheme where the first element is the customer's identifier, followed by the administrative action/table etc: /cust1/admin/list/person /cust2/admin/add/person /cust2/admin/edit/person/3 This is for "branding" purposes, and also to ensure that bookmarks or URLs passed from one user to another do the expected thing. But I'm having a lot of trouble getting this to work. I would prefer not to have to modify the subs in the existing framework, so I've been trying variations on the following: sub customer : Regex('^(\w+)/(admin)$') { my ($self, $c, @args) = @_; #validation of captured arg snipped.. my $path = join('/', 'admin', @args); $c->request->path($path); $c->dispatcher->prepare_action($c); $c->forward($c->action, $c->req->args); } But it just will not behave. I've used regex matching actions many times, but putting one in the very first 'barrel' of a URI seems unusually traumatic. Any suggestions gratefully received.

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• Javascript function working strangely during the first call in CHROME ?

  - by Sohil

  HI all, Below mentioned javascript code works fine in all browsers including chrome(from second call onwards). function call(val){ url = window.location.href; indexnum = url.lastIndexOf("/"); str = url.slice(indexnum+1); window.location.href = url.replace(str, "sample.php?src_q=") + val; } I am calling this function on onclick of a link as below <?php echo "<a href='#' onclick='javascript:call(\"$fieldvalue\");'>$fieldvalue</a>" ?> Normal Behaviour : In all browser after clicking on the link new formed url is url://localhost/mysite/sample.php?src_q=val Strange Behaviour : When I click on the link for the first time in chrome value of variable val gets replaced by url and its value as follows http://localhost/mysite/sample.php?src_q=http://localhost/mysite/val This strange behaviour happens during the first click in chrome. From the second call onwards in the same tab, the value of variable val works fine and I get desired url. I tried to google on it, but couldn't found any explanation. Thanks in advance.

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• How to remove the first and last character from a file using batch script?

  - by infant programmer

  This is my input file content which I am using to copy to the output file. #sdfs|dfasf|sdfs| sdfs|df!@$%%*&!sdffs| sasdfasfa|dfsdf|#sdfs| What I need to do is to omit the first character '#' and last character '|' in the output file. So the output will be, sdfs|dfasf|sdfs| sdfs|df!@$%%*&!sdffs| sasdfasfa|dfsdf|#sdfs Batch script is new to me, but I tried my best and tried these codes, :: drop first and last char @echo off > xyz.txt & setLocal EnableDelayedExpansion for /f "tokens=* delims=" %%a in (E:\abc1.txt) do ( set str=%%a set str=!str:~1! echo !str!>> xyz.txt ) and @echo off > xyz.txt setLocal EnableDelayedExpansion for /f "tokens=1,2 delims= " %%a in (E:\abc1.txt) do ( set /a N+=1 if !N! gtr 2 ( echo %%a >> xyz.txt ) else ( set str=%%a set str=!str:#=! echo !str! >> xyz.txt ) ) As you can see they are not able to produce the required output.

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• How to delete the first child of an element but referenced by $(this) in Jquery?

  - by Raja

  The scenario is I have two Divs one is where I select items (divResults) and it goes to the next div (divSelectedContacts). When I select it I place a tick mark next to it. What I want to do is when I select it again I want to remove the tick mark and also remove the element from divSelectedContacts. Here is the code. $("#divResults li").click(function() { if ($(this).find('span').size() == 1) { var copyElement = $(this).children().clone(); $(this).children().prepend("<span class='ui-icon ui-icon-check checked' style='float:left'></span>"); $("#divSelectedContacts").append(copyElement); } else { var deleteElement = $(this).find('span'); //here is the problem how to find the first span and delete it $(deleteElement).remove(); var copyElement = $(this).children().clone();//get the child element $("#divSelectedContacts").find(copyElement).remove(); //remove that element by finding it } }); I don't know how to select the first span in a li using $(this). Any help is much appreciated.

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• How to set only the first cell of a UITableView to a different color?

  - by Ted

  I use cellForRowAtIndexPath like here: - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if(cell == nil) cell = [self getCellContentView:CellIdentifier]; UILabel *lbl = (UILabel*)[cell.contentView viewWithTag:1]; for (UITableViewCell *c in [tbl visibleCells]) { // UITableViewCell *cell2 = [tbl cellForRowAtIndexPath:[NSIndexPath indexPathForRow:i inSection:0]]; UILabel *lbl = (UILabel*)[c.contentView viewWithTag:1]; lbl.textColor = [UIColor redColor]; } if([tbl indexPathForCell:cell].section==0) lbl.textColor = [UIColor whiteColor]; UILabel *lblTemp1 = (UILabel *)[cell viewWithTag:1]; UILabel *lblTemp2 = (UILabel *)[cell viewWithTag:2]; //First get the dictionary object lblTemp1.text = @"test!"; lblTemp2.text = @"testing more"; NSLog(@"%@",[tbl indexPathForCell:cell]); return cell; } But is still makes some of my cells white instead of gray. How can I change only the first item in the row to white?

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• Java style FOR loop in a clojure interpeter ?

  - by Kevin

  I have a basic interpreter in clojure. Now i need to implement for (initialisation; finish-test; loop-update) { statements } inside my interpreter. I will attach my interpreter code I got so far. Any help is appreciated. Interpreter (declare interpret make-env) ;; (def do-trace false) ;; ;; simple utilities (def third ; return third item in a list (fn [a-list] (second (rest a-list)))) (def fourth ; return fourth item in a list (fn [a-list] (third (rest a-list)))) (def run ; make it easy to test the interpreter (fn [e] (println "Processing: " e) (println "=> " (interpret e (make-env))))) ;; for the environment (def make-env (fn [] '())) (def add-var (fn [env var val] (cons (list var val) env))) (def lookup-var (fn [env var] (cond (empty? env) 'error (= (first (first env)) var) (second (first env)) :else (lookup-var (rest env) var)))) ;; -- define numbers (def is-number? (fn [expn] (number? expn))) (def interpret-number (fn [expn env] expn)) ;; -- define symbols (def is-symbol? (fn [expn] (symbol? expn))) (def interpret-symbol (fn [expn env] (lookup-var env expn))) ;; -- define boolean (def is-boolean? (fn [expn] (or (= expn 'true) (= expn 'false)))) (def interpret-boolean (fn [expn env] expn)) ;; -- define functions (def is-function? (fn [expn] (and (list? expn) (= 3 (count expn)) (= 'lambda (first expn))))) (def interpret-function (fn [expn env] expn)) ;; -- define addition (def is-plus? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '+ (first expn))))) (def interpret-plus (fn [expn env] (+ (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define subtraction (def is-minus? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '- (first expn))))) (def interpret-minus (fn [expn env] (- (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define multiplication (def is-times? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '* (first expn))))) (def interpret-times (fn [expn env] (* (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define division (def is-divides? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '/ (first expn))))) (def interpret-divides (fn [expn env] (/ (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define equals test (def is-equals? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '= (first expn))))) (def interpret-equals (fn [expn env] (= (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define greater-than test (def is-greater-than? (fn [expn] (and (list? expn) (= 3 (count expn)) (= '> (first expn))))) (def interpret-greater-than (fn [expn env] (> (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define not (def is-not? (fn [expn] (and (list? expn) (= 2 (count expn)) (= 'not (first expn))))) (def interpret-not (fn [expn env] (not (interpret (second expn) env)))) ;; -- define or (def is-or? (fn [expn] (and (list? expn) (= 3 (count expn)) (= 'or (first expn))))) (def interpret-or (fn [expn env] (or (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define and (def is-and? (fn [expn] (and (list? expn) (= 3 (count expn)) (= 'and (first expn))))) (def interpret-and (fn [expn env] (and (interpret (second expn) env) (interpret (third expn) env)))) ;; -- define with (def is-with? (fn [expn] (and (list? expn) (= 3 (count expn)) (= 'with (first expn))))) (def interpret-with (fn [expn env] (interpret (third expn) (add-var env (first (second expn)) (interpret (second (second expn)) env))))) ;; -- define if (def is-if? (fn [expn] (and (list? expn) (= 4 (count expn)) (= 'if (first expn))))) (def interpret-if (fn [expn env] (cond (interpret (second expn) env) (interpret (third expn) env) :else (interpret (fourth expn) env)))) ;; -- define function-application (def is-function-application? (fn [expn env] (and (list? expn) (= 2 (count expn)) (is-function? (interpret (first expn) env))))) (def interpret-function-application (fn [expn env] (let [function (interpret (first expn) env)] (interpret (third function) (add-var env (first (second function)) (interpret (second expn) env)))))) ;; the interpreter itself (def interpret (fn [expn env] (cond do-trace (println "Interpret is processing: " expn)) (cond ; basic values (is-number? expn) (interpret-number expn env) (is-symbol? expn) (interpret-symbol expn env) (is-boolean? expn) (interpret-boolean expn env) (is-function? expn) (interpret-function expn env) ; built-in functions (is-plus? expn) (interpret-plus expn env) (is-minus? expn) (interpret-minus expn env) (is-times? expn) (interpret-times expn env) (is-divides? expn) (interpret-divides expn env) (is-equals? expn) (interpret-equals expn env) (is-greater-than? expn) (interpret-greater-than expn env) (is-not? expn) (interpret-not expn env) (is-or? expn) (interpret-or expn env) (is-and? expn) (interpret-and expn env) ; special syntax (is-with? expn) (interpret-with expn env) (is-if? expn) (interpret-if expn env) ; functions (is-function-application? expn env) (interpret-function-application expn env) :else 'error)))

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• Programming logic to group a users activities like facebook. E.g. Chris is now friends with A, B and C

  - by Chris Dowdeswell

  So I am trying to develop an activity feed for my site, Basically If I UNION a bunch of activities into a feed I would end up with something like the following. Chris is now friends with Mark Chris is now friends with Dave What I want though is a neater way of grouping these similar posts so the feed doesn't give information overload... E.g. Chris is now friends with Mark, Dave and 4 Others Any ideas on how I can approach this logically? I am using Classic ASP on SQL server. Here is the UNION statement I have so far... SELECT U.UserID As UserID, L.UN As UN,Left(U.UID,13) As ProfilePic,U.Fname + ' ' + U.Sname As FullName, 'said ' + WP.Post AS Activity, WP.Ctime FROM Users AS U LEFT JOIN Logins L ON L.userID = U.UserID LEFT OUTER JOIN WallPosts AS WP ON WP.userID = U.userID WHERE WP.Ctime IS NOT NULL UNION SELECT U.UserID As UserID, L.UN As UN,Left(U.UID,13) As ProfilePic,U.Fname + ' ' + U.Sname As FullName, 'commented ' + C.Comment AS Activity, C.Ctime FROM Users AS U LEFT JOIN Logins L ON L.userID = U.UserID LEFT OUTER JOIN Comments AS C ON C.UserID = U.userID WHERE C.Ctime IS NOT NULL UNION SELECT U.UserID As UserID, L.UN As UN,Left(U.UID,13) As ProfilePic, U.Fname + ' ' + U.Sname As FullName, 'connected with <a href="/profile.asp?un='+(SELECT Logins.un FROM Logins WHERE Logins.userID = Cn.ToUserID)+'">' + (SELECT Users.Fname + ' ' + Users.Sname FROM Users WHERE userID = Cn.ToUserID) + '</a>' AS Activity, Cn.Ctime FROM Users AS U LEFT JOIN Logins L ON L.userID = U.UserID LEFT OUTER JOIN Connections AS Cn ON Cn.UserID = U.userID WHERE CN.Ctime IS NOT NULL

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• Advanced TSQL Tuning: Why Internals Knowledge Matters

  - by Paul White

  There is much more to query tuning than reducing logical reads and adding covering nonclustered indexes.  Query tuning is not complete as soon as the query returns results quickly in the development or test environments.  In production, your query will compete for memory, CPU, locks, I/O and other resources on the server.  Today’s entry looks at some tuning considerations that are often overlooked, and shows how deep internals knowledge can help you write better TSQL. As always, we’ll need some example data.  In fact, we are going to use three tables today, each of which is structured like this: Each table has 50,000 rows made up of an INTEGER id column and a padding column containing 3,999 characters in every row.  The only difference between the three tables is in the type of the padding column: the first table uses CHAR(3999), the second uses VARCHAR(MAX), and the third uses the deprecated TEXT type.  A script to create a database with the three tables and load the sample data follows: USE master; GO IF DB_ID('SortTest') IS NOT NULL DROP DATABASE SortTest; GO CREATE DATABASE SortTest COLLATE LATIN1_GENERAL_BIN; GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest', SIZE = 3GB, MAXSIZE = 3GB ); GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest_log', SIZE = 256MB, MAXSIZE = 1GB, FILEGROWTH = 128MB ); GO ALTER DATABASE SortTest SET ALLOW_SNAPSHOT_ISOLATION OFF ; ALTER DATABASE SortTest SET AUTO_CLOSE OFF ; ALTER DATABASE SortTest SET AUTO_CREATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_SHRINK OFF ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS_ASYNC ON ; ALTER DATABASE SortTest SET PARAMETERIZATION SIMPLE ; ALTER DATABASE SortTest SET READ_COMMITTED_SNAPSHOT OFF ; ALTER DATABASE SortTest SET MULTI_USER ; ALTER DATABASE SortTest SET RECOVERY SIMPLE ; USE SortTest; GO CREATE TABLE dbo.TestCHAR ( id INTEGER IDENTITY (1,1) NOT NULL, padding CHAR(3999) NOT NULL,   CONSTRAINT [PK dbo.TestCHAR (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestMAX ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAX (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestTEXT ( id INTEGER IDENTITY (1,1) NOT NULL, padding TEXT NOT NULL,   CONSTRAINT [PK dbo.TestTEXT (id)] PRIMARY KEY CLUSTERED (id), ) ; -- ============= -- Load TestCHAR (about 3s) -- ============= INSERT INTO dbo.TestCHAR WITH (TABLOCKX) ( padding ) SELECT padding = REPLICATE(CHAR(65 + (Data.n % 26)), 3999) FROM ( SELECT TOP (50000) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) - 1 FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) AS Data ORDER BY Data.n ASC ; -- ============ -- Load TestMAX (about 3s) -- ============ INSERT INTO dbo.TestMAX WITH (TABLOCKX) ( padding ) SELECT CONVERT(VARCHAR(MAX), padding) FROM dbo.TestCHAR ORDER BY id ; -- ============= -- Load TestTEXT (about 5s) -- ============= INSERT INTO dbo.TestTEXT WITH (TABLOCKX) ( padding ) SELECT CONVERT(TEXT, padding) FROM dbo.TestCHAR ORDER BY id ; -- ========== -- Space used -- ========== -- EXECUTE sys.sp_spaceused @objname = 'dbo.TestCHAR'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAX'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestTEXT'; ; CHECKPOINT ; That takes around 15 seconds to run, and shows the space allocated to each table in its output: To illustrate the points I want to make today, the example task we are going to set ourselves is to return a random set of 150 rows from each table.  The basic shape of the test query is the same for each of the three test tables: SELECT TOP (150) T.id, T.padding FROM dbo.Test AS T ORDER BY NEWID() OPTION (MAXDOP 1) ; Test 1 – CHAR(3999) Running the template query shown above using the TestCHAR table as the target, we find that the query takes around 5 seconds to return its results.  This seems slow, considering that the table only has 50,000 rows.  Working on the assumption that generating a GUID for each row is a CPU-intensive operation, we might try enabling parallelism to see if that speeds up the response time.  Running the query again (but without the MAXDOP 1 hint) on a machine with eight logical processors, the query now takes 10 seconds to execute – twice as long as when run serially. Rather than attempting further guesses at the cause of the slowness, let’s go back to serial execution and add some monitoring.  The script below monitors STATISTICS IO output and the amount of tempdb used by the test query.  We will also run a Profiler trace to capture any warnings generated during query execution. DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TC.id, TC.padding FROM dbo.TestCHAR AS TC ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; Let’s take a closer look at the statistics and query plan generated from this: Following the flow of the data from right to left, we see the expected 50,000 rows emerging from the Clustered Index Scan, with a total estimated size of around 191MB.  The Compute Scalar adds a column containing a random GUID (generated from the NEWID() function call) for each row.  With this extra column in place, the size of the data arriving at the Sort operator is estimated to be 192MB. Sort is a blocking operator – it has to examine all of the rows on its input before it can produce its first row of output (the last row received might sort first).  This characteristic means that Sort requires a memory grant – memory allocated for the query’s use by SQL Server just before execution starts.  In this case, the Sort is the only memory-consuming operator in the plan, so it has access to the full 243MB (248,696KB) of memory reserved by SQL Server for this query execution. Notice that the memory grant is significantly larger than the expected size of the data to be sorted.  SQL Server uses a number of techniques to speed up sorting, some of which sacrifice size for comparison speed.  Sorts typically require a very large number of comparisons, so this is usually a very effective optimization.  One of the drawbacks is that it is not possible to exactly predict the sort space needed, as it depends on the data itself.  SQL Server takes an educated guess based on data types, sizes, and the number of rows expected, but the algorithm is not perfect. In spite of the large memory grant, the Profiler trace shows a Sort Warning event (indicating that the sort ran out of memory), and the tempdb usage monitor shows that 195MB of tempdb space was used – all of that for system use.  The 195MB represents physical write activity on tempdb, because SQL Server strictly enforces memory grants – a query cannot ‘cheat’ and effectively gain extra memory by spilling to tempdb pages that reside in memory.  Anyway, the key point here is that it takes a while to write 195MB to disk, and this is the main reason that the query takes 5 seconds overall. If you are wondering why using parallelism made the problem worse, consider that eight threads of execution result in eight concurrent partial sorts, each receiving one eighth of the memory grant.  The eight sorts all spilled to tempdb, resulting in inefficiencies as the spilled sorts competed for disk resources.  More importantly, there are specific problems at the point where the eight partial results are combined, but I’ll cover that in a future post. CHAR(3999) Performance Summary: 5 seconds elapsed time 243MB memory grant 195MB tempdb usage 192MB estimated sort set 25,043 logical reads Sort Warning Test 2 – VARCHAR(MAX) We’ll now run exactly the same test (with the additional monitoring) on the table using a VARCHAR(MAX) padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TM.id, TM.padding FROM dbo.TestMAX AS TM ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query takes around 8 seconds to complete (3 seconds longer than Test 1).  Notice that the estimated row and data sizes are very slightly larger, and the overall memory grant has also increased very slightly to 245MB.  The most marked difference is in the amount of tempdb space used – this query wrote almost 391MB of sort run data to the physical tempdb file.  Don’t draw any general conclusions about VARCHAR(MAX) versus CHAR from this – I chose the length of the data specifically to expose this edge case.  In most cases, VARCHAR(MAX) performs very similarly to CHAR – I just wanted to make test 2 a bit more exciting. MAX Performance Summary: 8 seconds elapsed time 245MB memory grant 391MB tempdb usage 193MB estimated sort set 25,043 logical reads Sort warning Test 3 – TEXT The same test again, but using the deprecated TEXT data type for the padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TT.id, TT.padding FROM dbo.TestTEXT AS TT ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query runs in 500ms.  If you look at the metrics we have been checking so far, it’s not hard to understand why: TEXT Performance Summary: 0.5 seconds elapsed time 9MB memory grant 5MB tempdb usage 5MB estimated sort set 207 logical reads 596 LOB logical reads Sort warning SQL Server’s memory grant algorithm still underestimates the memory needed to perform the sorting operation, but the size of the data to sort is so much smaller (5MB versus 193MB previously) that the spilled sort doesn’t matter very much.  Why is the data size so much smaller?  The query still produces the correct results – including the large amount of data held in the padding column – so what magic is being performed here? TEXT versus MAX Storage The answer lies in how columns of the TEXT data type are stored.  By default, TEXT data is stored off-row in separate LOB pages – which explains why this is the first query we have seen that records LOB logical reads in its STATISTICS IO output.  You may recall from my last post that LOB data leaves an in-row pointer to the separate storage structure holding the LOB data. SQL Server can see that the full LOB value is not required by the query plan until results are returned, so instead of passing the full LOB value down the plan from the Clustered Index Scan, it passes the small in-row structure instead.  SQL Server estimates that each row coming from the scan will be 79 bytes long – 11 bytes for row overhead, 4 bytes for the integer id column, and 64 bytes for the LOB pointer (in fact the pointer is rather smaller – usually 16 bytes – but the details of that don’t really matter right now). OK, so this query is much more efficient because it is sorting a very much smaller data set – SQL Server delays retrieving the LOB data itself until after the Sort starts producing its 150 rows.  The question that normally arises at this point is: Why doesn’t SQL Server use the same trick when the padding column is defined as VARCHAR(MAX)? The answer is connected with the fact that if the actual size of the VARCHAR(MAX) data is 8000 bytes or less, it is usually stored in-row in exactly the same way as for a VARCHAR(8000) column – MAX data only moves off-row into LOB storage when it exceeds 8000 bytes.  The default behaviour of the TEXT type is to be stored off-row by default, unless the ‘text in row’ table option is set suitably and there is room on the page.  There is an analogous (but opposite) setting to control the storage of MAX data – the ‘large value types out of row’ table option.  By enabling this option for a table, MAX data will be stored off-row (in a LOB structure) instead of in-row.  SQL Server Books Online has good coverage of both options in the topic In Row Data. The MAXOOR Table The essential difference, then, is that MAX defaults to in-row storage, and TEXT defaults to off-row (LOB) storage.  You might be thinking that we could get the same benefits seen for the TEXT data type by storing the VARCHAR(MAX) values off row – so let’s look at that option now.  This script creates a fourth table, with the VARCHAR(MAX) data stored off-row in LOB pages: CREATE TABLE dbo.TestMAXOOR ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAXOOR (id)] PRIMARY KEY CLUSTERED (id), ) ; EXECUTE sys.sp_tableoption @TableNamePattern = N'dbo.TestMAXOOR', @OptionName = 'large value types out of row', @OptionValue = 'true' ; SELECT large_value_types_out_of_row FROM sys.tables WHERE [schema_id] = SCHEMA_ID(N'dbo') AND name = N'TestMAXOOR' ; INSERT INTO dbo.TestMAXOOR WITH (TABLOCKX) ( padding ) SELECT SPACE(0) FROM dbo.TestCHAR ORDER BY id ; UPDATE TM WITH (TABLOCK) SET padding.WRITE (TC.padding, NULL, NULL) FROM dbo.TestMAXOOR AS TM JOIN dbo.TestCHAR AS TC ON TC.id = TM.id ; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAXOOR' ; CHECKPOINT ; Test 4 – MAXOOR We can now re-run our test on the MAXOOR (MAX out of row) table: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) MO.id, MO.padding FROM dbo.TestMAXOOR AS MO ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; TEXT Performance Summary: 0.3 seconds elapsed time 245MB memory grant 0MB tempdb usage 193MB estimated sort set 207 logical reads 446 LOB logical reads No sort warning The query runs very quickly – slightly faster than Test 3, and without spilling the sort to tempdb (there is no sort warning in the trace, and the monitoring query shows zero tempdb usage by this query).  SQL Server is passing the in-row pointer structure down the plan and only looking up the LOB value on the output side of the sort. The Hidden Problem There is still a huge problem with this query though – it requires a 245MB memory grant.  No wonder the sort doesn’t spill to tempdb now – 245MB is about 20 times more memory than this query actually requires to sort 50,000 records containing LOB data pointers.  Notice that the estimated row and data sizes in the plan are the same as in test 2 (where the MAX data was stored in-row). The optimizer assumes that MAX data is stored in-row, regardless of the sp_tableoption setting ‘large value types out of row’.  Why?  Because this option is dynamic – changing it does not immediately force all MAX data in the table in-row or off-row, only when data is added or actually changed.  SQL Server does not keep statistics to show how much MAX or TEXT data is currently in-row, and how much is stored in LOB pages.  This is an annoying limitation, and one which I hope will be addressed in a future version of the product. So why should we worry about this?  Excessive memory grants reduce concurrency and may result in queries waiting on the RESOURCE_SEMAPHORE wait type while they wait for memory they do not need.  245MB is an awful lot of memory, especially on 32-bit versions where memory grants cannot use AWE-mapped memory.  Even on a 64-bit server with plenty of memory, do you really want a single query to consume 0.25GB of memory unnecessarily?  That’s 32,000 8KB pages that might be put to much better use. The Solution The answer is not to use the TEXT data type for the padding column.  That solution happens to have better performance characteristics for this specific query, but it still results in a spilled sort, and it is hard to recommend the use of a data type which is scheduled for removal.  I hope it is clear to you that the fundamental problem here is that SQL Server sorts the whole set arriving at a Sort operator.  Clearly, it is not efficient to sort the whole table in memory just to return 150 rows in a random order. The TEXT example was more efficient because it dramatically reduced the size of the set that needed to be sorted.  We can do the same thing by selecting 150 unique keys from the table at random (sorting by NEWID() for example) and only then retrieving the large padding column values for just the 150 rows we need.  The following script implements that idea for all four tables: SET STATISTICS IO ON ; WITH TestTable AS ( SELECT * FROM dbo.TestCHAR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id = ANY (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAX ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestTEXT ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAXOOR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; All four queries now return results in much less than a second, with memory grants between 6 and 12MB, and without spilling to tempdb.  The small remaining inefficiency is in reading the id column values from the clustered primary key index.  As a clustered index, it contains all the in-row data at its leaf.  The CHAR and VARCHAR(MAX) tables store the padding column in-row, so id values are separated by a 3999-character column, plus row overhead.  The TEXT and MAXOOR tables store the padding values off-row, so id values in the clustered index leaf are separated by the much-smaller off-row pointer structure.  This difference is reflected in the number of logical page reads performed by the four queries: Table 'TestCHAR' logical reads 25511 lob logical reads 000 Table 'TestMAX'. logical reads 25511 lob logical reads 000 Table 'TestTEXT' logical reads 00412 lob logical reads 597 Table 'TestMAXOOR' logical reads 00413 lob logical reads 446 We can increase the density of the id values by creating a separate nonclustered index on the id column only.  This is the same key as the clustered index, of course, but the nonclustered index will not include the rest of the in-row column data. CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestCHAR (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAX (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestTEXT (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAXOOR (id); The four queries can now use the very dense nonclustered index to quickly scan the id values, sort them by NEWID(), select the 150 ids we want, and then look up the padding data.  The logical reads with the new indexes in place are: Table 'TestCHAR' logical reads 835 lob logical reads 0 Table 'TestMAX' logical reads 835 lob logical reads 0 Table 'TestTEXT' logical reads 686 lob logical reads 597 Table 'TestMAXOOR' logical reads 686 lob logical reads 448 With the new index, all four queries use the same query plan (click to enlarge): Performance Summary: 0.3 seconds elapsed time 6MB memory grant 0MB tempdb usage 1MB sort set 835 logical reads (CHAR, MAX) 686 logical reads (TEXT, MAXOOR) 597 LOB logical reads (TEXT) 448 LOB logical reads (MAXOOR) No sort warning I’ll leave it as an exercise for the reader to work out why trying to eliminate the Key Lookup by adding the padding column to the new nonclustered indexes would be a daft idea Conclusion This post is not about tuning queries that access columns containing big strings.  It isn’t about the internal differences between TEXT and MAX data types either.  It isn’t even about the cool use of UPDATE .WRITE used in the MAXOOR table load.  No, this post is about something else: Many developers might not have tuned our starting example query at all – 5 seconds isn’t that bad, and the original query plan looks reasonable at first glance.  Perhaps the NEWID() function would have been blamed for ‘just being slow’ – who knows.  5 seconds isn’t awful – unless your users expect sub-second responses – but using 250MB of memory and writing 200MB to tempdb certainly is!  If ten sessions ran that query at the same time in production that’s 2.5GB of memory usage and 2GB hitting tempdb.  Of course, not all queries can be rewritten to avoid large memory grants and sort spills using the key-lookup technique in this post, but that’s not the point either. The point of this post is that a basic understanding of execution plans is not enough.  Tuning for logical reads and adding covering indexes is not enough.  If you want to produce high-quality, scalable TSQL that won’t get you paged as soon as it hits production, you need a deep understanding of execution plans, and as much accurate, deep knowledge about SQL Server as you can lay your hands on.  The advanced database developer has a wide range of tools to use in writing queries that perform well in a range of circumstances. By the way, the examples in this post were written for SQL Server 2008.  They will run on 2005 and demonstrate the same principles, but you won’t get the same figures I did because 2005 had a rather nasty bug in the Top N Sort operator.  Fair warning: if you do decide to run the scripts on a 2005 instance (particularly the parallel query) do it before you head out for lunch… This post is dedicated to the people of Christchurch, New Zealand. © 2011 Paul White email: @[email protected] twitter: @SQL_Kiwi

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• Game Center: Leaderboard score inconsistencies

  - by Hasyimi Bahrudin

  Background I'm currently developing a simple library that mirrors Game Center's functionalities locally. Basically, this library is a system that manages achievements and leaderboards, and optionally sync it with the Game Center. So, if the game is not GC enabled, the game will still have achievements and leaderboards (stored inside a plist). But of course, the leaderboards will then only contain the local player's scores (which is kind of useless, I know :P). Problem Currently I have coded both of the achievements and leaderboards subsystems. The achievements subsystem have already been tested and it works. I'm currently testing the leaderboards subsystem using multiple test user accounts. I loaded the test app on a device and on the simulator, both logged in with 2 different user accounts. Then I performed these steps: I first used the device to upload a score. Then, I ran the simulator, and the score submitted by the user on the device is shown. Which is cool. Then, I used the simulator to upload a score. But on the device, still, only one score is listed. I checked on the Game Center app (to see if the bug lies within my code), and I got the same thing. Under "All players", there is only one score on the device, but there are 2 scores on the simulator. I wanted to make sure that the simulator is not causing this, so I swapped the users on the device and the simulator, and the result is still the same. In other words, the first user is oblivious of the second user's score, but the second user can see the first user's score. Then I tried with a third user. The result: the third user can only see the scores of the first user and himself. The second user still sees the scores of the first user and himself. The first user only sees his own score. Now here comes the weird part. I then make the first user and the second user befriend each other. The result: under "Friends", the first user can see the second user's score, but under "All Players", the first user's score is the only one listed. Screenshots The first user sees this: The second user sees this: So, is this a normal thing when using sandboxed GC accounts? Is this behavior documented somewhere by Apple?

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• Python regex to parse text file, get the items in list and count the list

  - by Nemo

  I have a text file which contains some data. I m particularly interested in finding the count of the number of items in v_dims v_dims pattern in my text file looks like this : v_dims={ "Sales", "Product Family", "Sales Organization", "Region", "Sales Area", "Sales office", "Sales Division", "Sales Person", "Sales Channel", "Sales Order Type", "Sales Number", "Sales Person", "Sales Quantity", "Sales Amount" } So I m thinking of getting all the elements in v_dims and dumping them out in a Python list. Then compute the len(mylist) to get the count of the items. The challenge is in getting all the elements of v_dims from my text file and putting them in an empty list. I m particularly interested in items in v_dims in my text file. The text file has data in the form of v_dims pattern i showed in my original post. Some data has nested patterns of v_dims. Thanks. Here's what I have tried and failed. Any help is appreciated. TIA. import re fname = "C:\Users\XXXX\Test.mrk" with open(fname, "r") as fo: content_as_string = fo.read() match = re.findall(r'v_dims={\"(.+?)\"}',content_as_string) Though I have a big text file, Here's a snippet of what's the structure of my text file version "1"; // Computer generated object language file object 'MRKR' "Main" { Data_Type=2, HeaderBlock={ Version_String="6.3 (25)" }, Printer_Info={ Orientation=0, Page_Width=8.50000000, Page_Height=11.00000000, Page_Header="", Page_Footer="", Margin_type=0, Top_Margin=0.50000000, Left_Margin=0.50000000, Bottom_Margin=0.50000000, Right_Margin=0.50000000 }, Marker_Options={ Close_All="TRUE", Hide_Console="FALSE", Console_Left="FALSE", Console_Width=217, Main_Style="Maximized", MDI_Rect={ 0, 0, 892, 1063 } }, Dives={ { Dive="A", Windows={ { View_Index=0, Window_Info={ Window_Rect={ 0, -288, 400, 1008 }, Window_Style="Maximized Front", Window_Name="Theater [Previous Qtr Diveplan-Dive A]" }, Dependent_bool="FALSE", Colset={ Dive_Type="Normal", Dimension_Name="Theater", Action_List={ Actions={ { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater" }, Key_Indexes={ { "AMERICAS" } } }, { Action_Type="Focus", Focus_Rows="True" }, { Action_Type="Dimensions", v_dims={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag", "Product Item Family" }, Xtab_Bool="False", Xtab_Flip="False" }, { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag" }, Key_Indexes={ { "AMERICAS", "ATMOS", "Latin America CS Division", "37000 CS Region", "Mexico", "", "", "", "", "DIRECT", "EMC", "N", "0" } } } } }, Num_Palette_cols=0, Num_Palette_rows=0 }, Format={ Window_Type="Tabular", Tabular={ Num_row_labels=8 } } } } } }, Widget_Set={ Widget_Layout="Vertical", Go_Button=1, Picklist_Width=0, Sort_Subset_Dimensions="TRUE", Order={ } }, Views={ { Data_Type=1, dbname="Previous Qtr Diveplan", diveline_dbname="Current Qtr Diveplan", logical_name="Current Qtr Diveplan", cols={ { name="Total TSS installs", column_type="Calc[Total TSS installs]", output_type="Number", format_string="." }, { name="TSS Valid Connectivity Records", column_type="Calc[TSS Valid Connectivity Records]", output_type="Number", format_string="." }, { name="% TSS Connectivity Record", column_type="Calc[% TSS Connectivity Record]", output_type="Number" }, { name="TSS Not Applicable", column_type="Calc[TSS Not Applicable]", output_type="Number", format_string="." }, { name="TSS Customer Refusals", column_type="Calc[TSS Customer Refusals]", output_type="Number", format_string="." }, { name="% TSS Refusals", column_type="Calc[% TSS Refusals]", output_type="Number" }, { name="TSS Eligible for Physical Connectivity", column_type="Calc[TSS Eligible for Physical Connectivity]", output_type="Number", format_string="." }, { name="TSS Boxes with Physical Connectivty", column_type="Calc[TSS Boxes with Physical Connectivty]", output_type="Number", format_string="." }, { name="% TSS Physical Connectivity", column_type="Calc[% TSS Physical Connectivity]", output_type="Number" } }, dim_cols={ { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Connect In Type", column_type="Dimension[Connect In Type]", output_type="None" }, { name="Connect Home Type", column_type="Dimension[Connect Home Type]", output_type="None" }, { name="SymmConnect Enabled", column_type="Dimension[SymmConnect Enabled]", output_type="None" }, { name="Theater", column_type="Dimension[Theater]", output_type="None" }, { name="Division", column_type="Dimension[Division]", output_type="None" }, { name="Region", column_type="Dimension[Region]", output_type="None" }, { name="Sales Order Number", column_type="Dimension[Sales Order Number]", output_type="None" }, { name="Product Item Family", column_type="Dimension[Product Item Family]", output_type="None" }, { name="Item Serial Number", column_type="Dimension[Item Serial Number]", output_type="None" }, { name="Sales Order Deal Number", column_type="Dimension[Sales Order Deal Number]", output_type="None" }, { name="Item Install Date", column_type="Dimension[Item Install Date]", output_type="None" }, { name="SYR Last Dial Home Date", column_type="Dimension[SYR Last Dial Home Date]", output_type="None" }, { name="Maintained By Group", column_type="Dimension[Maintained By Group]", output_type="None" }, { name="PS Flag", column_type="Dimension[PS Flag]", output_type="None" }, { name="Connect Home Refusal Reason", column_type="Dimension[Connect Home Refusal Reason]", output_type="None", col_width=177 }, { name="Cust Name", column_type="Dimension[Cust Name]", output_type="None" }, { name="Sales Order Channel Type", column_type="Dimension[Sales Order Channel Type]", output_type="None" }, { name="Sales Order Type", column_type="Dimension[Sales Order Type]", output_type="None" }, { name="Part Model Key", column_type="Dimension[Part Model Key]", output_type="None" }, { name="Ship Date", column_type="Dimension[Ship Date]", output_type="None" }, { name="Model Number", column_type="Dimension[Model Number]", output_type="None" }, { name="Item Description", column_type="Dimension[Item Description]", output_type="None" }, { name="Customer Classification", column_type="Dimension[Customer Classification]", output_type="None" }, { name="CS Customer Name", column_type="Dimension[CS Customer Name]", output_type="None" }, { name="Install At Customer Number", column_type="Dimension[Install At Customer Number]", output_type="None" }, { name="Install at Country Name", column_type="Dimension[Install at Country Name]", output_type="None" }, { name="TLA Serial Number", column_type="Dimension[TLA Serial Number]", output_type="None" }, { name="Product Version", column_type="Dimension[Product Version]", output_type="None" }, { name="Avalanche Flag", column_type="Dimension[Avalanche Flag]", output_type="None" }, { name="Product Family", column_type="Dimension[Product Family]", output_type="None" }, { name="Project Number", column_type="Dimension[Project Number]", output_type="None" }, { name="PROJECT_STATUS", column_type="Dimension[PROJECT_STATUS]", output_type="None" } }, Available_Columns={ "Total TSS installs", "TSS Valid Connectivity Records", "% TSS Connectivity Record", "TSS Not Applicable", "TSS Customer Refusals", "% TSS Refusals", "TSS Eligible for Physical Connectivity", "TSS Boxes with Physical Connectivty", "% TSS Physical Connectivity", "Total Installs", "All Boxes with Valid Connectivty Record", "% All Connectivity Record", "Overall Refusals", "Overall Refusals %", "All Eligible for Physical Connectivty", "Boxes with Physical Connectivity", "% All with Physical Conectivity" }, Remaining_columns={ { name="Total Installs", column_type="Calc[Total Installs]", output_type="Number", format_string="." }, { name="All Boxes with Valid Connectivty Record", column_type="Calc[All Boxes with Valid Connectivty Record]", output_type="Number", format_string="." }, { name="% All Connectivity Record", column_type="Calc[% All Connectivity Record]", output_type="Number" }, { name="Overall Refusals", column_type="Calc[Overall Refusals]", output_type="Number", format_string="." }, { name="Overall Refusals %", column_type="Calc[Overall Refusals %]", output_type="Number" }, { name="All Eligible for Physical Connectivty", column_type="Calc[All Eligible for Physical Connectivty]", output_type="Number" }, { name="Boxes with Physical Connectivity", column_type="Calc[Boxes with Physical Connectivity]", output_type="Number" }, { name="% All with Physical Conectivity", column_type="Calc[% All with Physical Conectivity]", output_type="Number" } }, calcs={ { name="Total TSS installs", definition="Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Valid Connectivity Records", definition="Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% TSS Connectivity Record", definition="Total[PS Boxes w/ valid connectivity record (1=yes)] /Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Not Applicable", definition="Total[Bozes w/ valid connectivity record (1=yes)]-Total[Boxes Eligible (1=yes)]-Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="TSS Customer Refusals", definition="Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="% TSS Refusals", definition="Total[TSS Refusals]/Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="TSS Eligible for Physical Connectivity", definition="Total[TSS Eligible]-Total[Exception]", ts_flag="Not TS Calc" }, { name="TSS Boxes with Physical Connectivty", definition="Total[PS Physical Connectivity] - Total[PS Physical Connectivity, SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% TSS Physical Connectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" }, { name="Total Installs", definition="Total[Total Installs]", ts_flag="Not TS Calc" }, { name="All Boxes with Valid Connectivty Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% All Connectivity Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]/Total[Total Installs]", ts_flag="Not TS Calc" }, { name="Overall Refusals", definition="Total[Overall Refusals]", ts_flag="Not TS Calc" }, { name="Overall Refusals %", definition="Total[Overall Refusals]/Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="All Eligible for Physical Connectivty", definition="Total[Boxes Eligible (1=yes)]-Total[Exception]", ts_flag="Not TS Calc" }, { name="Boxes with Physical Connectivity", definition="Total[Boxes w/ phys conn]-Total[Boxes w/ phys conn,SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% All with Physical Conectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" } }, merge_type="consolidate", merge_dbs={ { dbname="connectivityallproducts.mdl", diveline_dbname="/DI_PSREPORTING/connectivityallproducts.mdl" } }, skip_constant_columns="FALSE", categories={ { name="Geography", dimensions={ "Theater", "Division", "Region", "Install at Country Name" } }, { name="Mappings and Flags", dimensions={ "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "Customer Installable", "PS Flag", "Top Level Flag", "Avalanche Flag" } }, { name="Product Information", dimensions={ "Product Family", "Product Item Family", "Product Version", "Item Description" } }, { name="Sales Order Info", dimensions={ "Sales Order Deal Number", "Sales Order Number", "Sales Order Type" } }, { name="Dates", dimensions={ "Item Install Date", "Ship Date", "SYR Last Dial Home Date" } }, { name="Details", dimensions={ "Item Serial Number", "TLA Serial Number", "Part Model Key", "Model Number" } }, { name="Customer Infor", dimensions={ "CS Customer Name", "Install At Customer Number", "Customer Classification", "Cust Name" } }, { name="Other Dimensions", dimensions={ "Model" } } }, Maintain_Category_Order="FALSE", popup_info="false" } } };

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• When connecting to a server using the DRDA protocol, is it true that the first Client-To-Server command MUST be EXCSAT chained with ACCSEC?

  - by Alon Rew

  When connecting to a server using the DRDA protocol, is it true that the first Client-To-Server command MUST be EXCSAT chained with ACCSEC? I found 2 different answers when I googled it. If you look at The Open Group web site (https://collaboration.opengroup.org/dbiop/) it can be understood that the answer is NO. However, if you look at the IBM website (http://publib.boulder.ibm.com/infocenter/dzichelp/v2r2/index.jsp?topic=%2Fcom.ibm.ims11.doc.apr%2Fims_ddm_excsat.htm) you can understand the answer is YES. So which is it?

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• How To Select First Ancestor That Matches A Selector?

  - by Zach

  General: How can I select the first matching ancestor of an element in jQuery? Example: Take this HTML block <table> <tbody> <tr> <td> <a href="#" class="remove">Remove</a> </td> </tr> <tr> <td> <a href="#" class="remove">Remove</a> </td> </tr> </tbody> </table> I can remove a row in the table by clicking "Remove" using this jQuery code: $('.remove').click(function(){ $(this).parent().parent().hide(); return false; }); This works, but it's pretty fragile. If someone puts the <a> into a <div>, for example, it would break. Is there a selector syntax in jQuery that follows this logic: "Here's an element, now find the closest ancestor that matches some selection criteria and return it" Thanks

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• How do I make Visual Studio automatically go to the first error in a build?

  - by Jon

  This is done manually by going to the "Error List" output window and double-clicking on the first error or pressing F8. Is there a way to automate this? (I'm using C++ if that matters.)

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