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  • Use XQuery to Access XML in Emacs

    - by Gregory Burd
    There you are working on a multi-MB/GB/TB XML document or set of documents, you want to be able to quickly query the content but you don't want to load the XML into a full-blown XML database, the time spent setting things up is simply too expensive. Why not combine a great open source editor, Emacs, and a great XML XQuery engine, Berkeley DB XML? That is exactly what Donnie Cameron did. Give it a try.

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  • Insert Record by Drag & Drop from ADF Tree to ADF Tree Table

    - by arul.wilson(at)oracle.com
    If you want to create record based on the values Dragged from ADF Tree and Dropped on a ADF Tree Table, then here you go.UseCase DescriptionUser Drags a tree node from ADF Tree and Drops it on a ADF Tree Table node. A new row gets added in the Tree Table based on the source tree node, subsequently a record gets added to the database table on which Tree table in based on.Following description helps to achieve this using ADF BC.Run the DragDropSchema.sql to create required tables.Create Business Components from tables (PRODUCTS, COMPONENTS, SUB_COMPONENTS, USERS, USER_COMPONENTS) created above.Add custom method to App Module Impl, this method will be used to insert record from view layer.   public String createUserComponents(String p_bugdbId, String p_productId, String p_componentId, String p_subComponentId){    Row newUserComponentsRow = this.getUserComponentsView1().createRow();    try {      newUserComponentsRow.setAttribute("Bugdbid", p_bugdbId);      newUserComponentsRow.setAttribute("ProductId", new oracle.jbo.domain.Number(p_productId));      newUserComponentsRow.setAttribute("Component1", p_componentId);      newUserComponentsRow.setAttribute("SubComponent", p_subComponentId);    } catch (Exception e) {        e.printStackTrace();        return "Failure";    }        return "Success";  }Expose this method to client interface.To display the root node we need a custom VO which can be achieved using below query. SELECT Users.ACTIVE, Users.BUGDB_ID, Users.EMAIL, Users.FIRSTNAME, Users.GLOBAL_ID, Users.LASTNAME, Users.MANAGER_ID, Users.MANAGER_PRIVILEGEFROM USERS UsersWHERE Users.MANAGER_ID is NULLCreate VL between UsersView and UsersRootNodeView VOs.Drop ProductsView from DC as ADF Tree to jspx page.Add Tree Level Rule based on ComponentsView and SubComponentsView.Drop UsersRootNodeView as ADF Tree TableAdd Tree Level Rules based on UserComponentsView and UsersView.Add DragSource to ADF Tree and CollectionDropTarget to ADF Tree Table respectively.Bind CollectionDropTarget's DropTarget to backing bean and implement method of signature DnDAction (DropEvent), this method gets invoked when Tree Table encounters a drop action, here details required for creating new record are captured from the drag source and passed to 'createUserComponents' method. public DnDAction onTreeDrop(DropEvent dropEvent) {      String newBugdbId = "";      String msgtxt="";            try {          // Getting the target node bugdb id          Object serverRowKey = dropEvent.getDropSite();          if (serverRowKey != null) {                  //Code for Tree Table as target              String dropcomponent = dropEvent.getDropComponent().toString();              dropcomponent = (String)dropcomponent.subSequence(0, dropcomponent.indexOf("["));              if (dropcomponent.equals("RichTreeTable")){                RichTreeTable richTreeTable = (RichTreeTable)dropEvent.getDropComponent();                richTreeTable.setRowKey(serverRowKey);                int rowIndexTreeTable = richTreeTable.getRowIndex();                //Drop Target Logic                if (((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue()==null) {                  //Get Parent                  newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getParent().getAttributeValue();                } else {                  if (isNum(((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue().toString())) {                    //Get Parent's parent                              newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getParent().getParent().getAttributeValue();                  } else{                      //Dropped on USER                                          newBugdbId = (String)((JUCtrlHierNodeBinding)richTreeTable.getRowData(rowIndexTreeTable)).getAttributeValue();                  }                  }              }           }                     DataFlavor<RowKeySet> df = DataFlavor.getDataFlavor(RowKeySet.class);          RowKeySet droppedValue = dropEvent.getTransferable().getData(df);            Object[] keys = droppedValue.toArray();          Key componentKey = null;          Key subComponentKey = null;           // binding for createUserComponents method defined in AppModuleImpl class  to insert record in database.                      operationBinding = bindings.getOperationBinding("createUserComponents");            // get the Product, Component, Subcomponent details and insert to UserComponents table.          // loop through the keys if more than one comp/subcomponent is select.                   for (int i = 0; i < keys.length; i++) {                  System.out.println("in for :"+i);              List list = (List)keys[i];                  System.out.println("list "+i+" : "+list);              System.out.println("list size "+list.size());              if (list.size() == 1) {                                // we cannot drag and drop  the highest node !                                msgtxt="You cannot drop Products, please drop Component or SubComponent from the Tree.";                  System.out.println(msgtxt);                                this.showInfoMessage(msgtxt);              } else {                  if (list.size() == 2) {                    // were doing the first branch, in this case all components.                    componentKey = (Key)list.get(1);                    Object[] droppedProdCompValues = componentKey.getAttributeValues();                    operationBinding.getParamsMap().put("p_bugdbId",newBugdbId);                    operationBinding.getParamsMap().put("p_productId",droppedProdCompValues[0]);                    operationBinding.getParamsMap().put("p_componentId",droppedProdCompValues[1]);                    operationBinding.getParamsMap().put("p_subComponentId","ALL");                    Object result = operationBinding.execute();              } else {                    subComponentKey = (Key)list.get(2);                    Object[] droppedProdCompSubCompValues = subComponentKey.getAttributeValues();                    operationBinding.getParamsMap().put("p_bugdbId",newBugdbId);                    operationBinding.getParamsMap().put("p_productId",droppedProdCompSubCompValues[0]);                    operationBinding.getParamsMap().put("p_componentId",droppedProdCompSubCompValues[1]);                    operationBinding.getParamsMap().put("p_subComponentId",droppedProdCompSubCompValues[2]);                    Object result = operationBinding.execute();                  }                   }            }                        /* this.getCil1().setDisabled(false);            this.getCil1().setPartialSubmit(true); */                      return DnDAction.MOVE;        } catch (Exception ex) {          System.out.println("drop failed with : " + ex.getMessage());          ex.printStackTrace();                  /* this.getCil1().setDisabled(true); */          return DnDAction.NONE;          }    } Run jspx page and drop a Component or Subcomponent from Products Tree to UserComponents Tree Table.

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  • Oracle Sun Java Roadshow

    - by Lajos Sárecz
    Jövo héten, május 20-án Oracle Sun Java Roadshow konferencia lesz Ramada Plaza Budapest Hotel helszínnel. Hogy jön ide a blog-ba egy Java konferencia kedvcsinálója? A tervezett program ismeretében talán már nem olyan meglepo. Ugyanis az egyik eloadás a közelmúltban megjelent Oracle Berkeley újdonságairól fog szólni. Bár az Oracle már 2006 februárjában felvásárolta a Berkeley DB-t, azóta Magyarországon nem volt olyan Oracle rendezvény, ahol érdemben szó esett volna róla, így mindenkit bíztatok, hogy ne hagyja ki ezt a lehetoséget.

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  • ???????/???Web????????????!??????????????

    - by Yusuke.Yamamoto
    ????? ??:2010/11/04 ??:??????/?? ???????????????????·????????????????????????????????????????????????????????Web?????????????????????????????????????????????????????DB?? Oracle TimesTen In-Memory Database ???????????????????????????? ????????????????????????Oracle In-Memory Database Cache ?????Oracle TimesTen IMDB / Oracle IMDB Cache 11g ?????????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/TT11041100.wmv http://www.oracle.com/technology/global/jp/ondemand/otn-seminar/pdf/TimesTen_OrD_20101104_print.pdf

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  • Sharepoint OLE DB - field not updateable

    - by Pandincus
    I need to write a simple C# .NET application to retrieve, update, and insert some data in a Sharepoint list. I am NOT a Sharepoint developer, and I don't have control over our Sharepoint server. I would prefer not to have to develop this in a proper sharepoint development environment simply because I don't want to have to deploy my application on the Sharepoint server -- I'd rather just access data externally. Anyway, I found out that you can access Sharepoint data using OLE DB, and I tried it successfully using some ADO.NET: var db = DatabaseFactory.CreateDatabase(); DataSet ds = new DataSet(); using (var command = db.GetSqlStringCommand("SELECT * FROM List")) { db.LoadDataSet(command, ds, "List"); } The above works. However, when I try to insert: using (var command = db.GetSqlStringCommand("INSERT INTO List ([HeaderName], [Description], [Number]) VALUES ('Blah', 'Blah', 100)")) { db.ExecuteNonQuery(command); } I get this error: Cannot update 'HeaderName'; field not updateable. I did some Googling and apparently you cannot insert data through OLE DB! Does anyone know if there are some possible workarounds? I could try using Sharepoint Web Services, but I tried that initially and was having a heck of a time authenticating. Is that my only option?

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  • Problem creating a database with PHP PDO

    - by Leandro Alonso
    Hello guys, I'm having a problem with a SQL query in my PHP Application. When the user access it for the first time, the app executes this query to create all the database: CREATE TABLE `databases` ( `id` bigint(20) NOT NULL auto_increment, `driver` varchar(45) NOT NULL, `server` text NOT NULL, `user` text NOT NULL, `password` text NOT NULL, `database` varchar(200) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=2 ; -- -------------------------------------------------------- -- -- Table structure for table `modules` -- CREATE TABLE `modules` ( `id` bigint(20) unsigned NOT NULL auto_increment, `title` varchar(100) NOT NULL, `type` varchar(150) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=29 ; -- -------------------------------------------------------- -- -- Table structure for table `modules_data` -- CREATE TABLE `modules_data` ( `id` bigint(20) NOT NULL auto_increment, `module_id` bigint(20) unsigned NOT NULL, `key` varchar(150) NOT NULL, `value` tinytext, PRIMARY KEY (`id`), KEY `fk_modules_data_modules` (`module_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=184 ; -- -------------------------------------------------------- -- -- Table structure for table `modules_position` -- CREATE TABLE `modules_position` ( `user_id` bigint(20) unsigned NOT NULL, `tab_id` bigint(20) unsigned NOT NULL, `module_id` bigint(20) unsigned NOT NULL, `column` smallint(1) default NULL, `line` smallint(1) default NULL, PRIMARY KEY (`user_id`,`tab_id`,`module_id`), KEY `fk_modules_order_users` (`user_id`), KEY `fk_modules_order_tabs` (`tab_id`), KEY `fk_modules_order_modules` (`module_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `tabs` -- CREATE TABLE `tabs` ( `id` bigint(20) unsigned NOT NULL auto_increment, `title` varchar(60) NOT NULL, `columns` smallint(1) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=12 ; -- -------------------------------------------------------- -- -- Table structure for table `tabs_has_modules` -- CREATE TABLE `tabs_has_modules` ( `tab_id` bigint(20) unsigned NOT NULL, `module_id` bigint(20) unsigned NOT NULL, PRIMARY KEY (`tab_id`,`module_id`), KEY `fk_tabs_has_modules_tabs` (`tab_id`), KEY `fk_tabs_has_modules_modules` (`module_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `users` -- CREATE TABLE `users` ( `id` bigint(20) unsigned NOT NULL auto_increment, `login` varchar(60) NOT NULL, `password` varchar(64) NOT NULL, `email` varchar(100) NOT NULL, `name` varchar(250) default NULL, `user_level` bigint(20) unsigned NOT NULL, PRIMARY KEY (`id`), KEY `fk_users_user_levels` (`user_level`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ; -- -------------------------------------------------------- -- -- Table structure for table `users_has_tabs` -- CREATE TABLE `users_has_tabs` ( `user_id` bigint(20) unsigned NOT NULL, `tab_id` bigint(20) unsigned NOT NULL, `order` smallint(2) NOT NULL, `columns_width` varchar(255) default NULL, PRIMARY KEY (`user_id`,`tab_id`), KEY `fk_users_has_tabs_users` (`user_id`), KEY `fk_users_has_tabs_tabs` (`tab_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `user_levels` -- CREATE TABLE `user_levels` ( `id` bigint(20) unsigned NOT NULL auto_increment, `level` smallint(2) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ; -- -------------------------------------------------------- -- -- Table structure for table `user_meta` -- CREATE TABLE `user_meta` ( `id` bigint(20) unsigned NOT NULL auto_increment, `user_id` bigint(20) unsigned default NULL, `key` varchar(150) NOT NULL, `value` longtext NOT NULL, PRIMARY KEY (`id`), KEY `fk_user_meta_users` (`user_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ; -- -- Constraints for dumped tables -- -- -- Constraints for table `modules_data` -- ALTER TABLE `modules_data` ADD CONSTRAINT `fk_modules_data_modules` FOREIGN KEY (`module_id`) REFERENCES `modules` (`id`) ON DELETE CASCADE ON UPDATE NO ACTION; -- -- Constraints for table `modules_position` -- ALTER TABLE `modules_position` ADD CONSTRAINT `fk_modules_order_modules` FOREIGN KEY (`module_id`) REFERENCES `modules` (`id`) ON DELETE CASCADE ON UPDATE NO ACTION, ADD CONSTRAINT `fk_modules_order_tabs` FOREIGN KEY (`tab_id`) REFERENCES `tabs` (`id`) ON DELETE CASCADE ON UPDATE NO ACTION, ADD CONSTRAINT `fk_modules_order_users` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE ON UPDATE NO ACTION; -- -- Constraints for table `users` -- ALTER TABLE `users` ADD CONSTRAINT `fk_users_user_levels` FOREIGN KEY (`user_level`) REFERENCES `user_levels` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION; -- -- Constraints for table `user_meta` -- ALTER TABLE `user_meta` ADD CONSTRAINT `fk_user_meta_users` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE ON UPDATE NO ACTION; INSERT INTO `user_levels` VALUES(1, 10); INSERT INTO `user_levels` VALUES(2, 1); INSERT INTO `users` VALUES(1, 'admin', 'password', '[email protected]', NULL, 1); INSERT INTO `user_meta` VALUES (NULL, 1, 'last_tab', 1); In some environments i get this error: SQLSTATE[HY000]: General error: 1005 Can't create table 'dms.databases' (errno: 150) I tried everything that I could find on Google but nothing works. The strange part is that if I run this query in PhpMyAdmin he creates my database, without any error.

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  • Table in DB for generating primary keys?

    - by Sapphire
    Do you ever use a separate table for "generating" artificial primary keys for DB (and why)? What I mean is to have a table with two columns, table name and current ID - with which you could get new "ID" for some table by simply locking the row with that table name, getting the current value of the key, increment it by one, and unlock the row. Why would you prefer this over standard integer identity column? P.S. The "idea" is from Fowlers Patterns of Enterprise Application Architecture, btw...

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  • SQL 2000: Intermittent Error 7399 with OLE DB Provider for Microsoft Jet

    - by Tim Lara
    I am using SQL Server 2000 on Windows Server 2003 SP2 and have set up a linked server to point at an Access 97 database using the OLE DB Provider 4.0 for Microsoft Jet. The problem I am having sounds almost exactly like the one described in this Microsoft KB article, except that the error I am getting is intermittent: http://support.microsoft.com/kb/814398 The SQL Server is running under the Local System account (which I don't have authority to change), and the Access 97 .mdb file that the linked server points to is on a Win XP Pro machine on the same LAN as the SQL Server machine, inside of a shared folder with permissions set to "Everyone" and "Full Control". Now, if the linked server connection never worked, it would make more sense that the problem is merely a permissions issue with the Local System account as the KB article above suggests, but the maddening thing is that sometimes the connection works just fine. When it fails, the error message is always the same: Error 7399: OLE DB provider 'Microsoft.Jet.OLEDB.4.0' reported an error. [OLE/DB provider returned message: Unspecified error] OLE DB error trace [OLE/DB Provider 'Microsoft.Jet.OLEDB.4.0' IDBInitialize::Initialize returned 0x80004005: ]. Also, not only does the linked server setup occasionally work just fine on this one particular SQL Server, what is supposed to be exactly the same setup on 25 other servers works just fine EVERY TIME! Obviously, something in the non-working setup must not be exactly the same, but I'm having trouble figuring out where to look for the differences since the error message SQL Server returns is so vague. I know our sysadmins have had numerous issues with Active Directory replication across our domain, so my best guess is that there is some sort of odd group policy corruption going on, but I thought I'd ask here to see if I might be overlooking something more straightforward. Any ideas on how to further isolate the error would be greatly appreciated! For the record, here is a list of things I've already tried: Rebooting the SQL Server machine. Fixes the issue temporarily, then the error returns within a minute or two of startup. (This is why I suspect a rogue group policy that is slow to apply fouling things up.) Importing all database objects from the Access 97 mdb into a new, clean mdb file. Makes no difference. Moving the Access 97 mdb file to a local directory on the SQL Server machine instead of accessing it via a share on the Win XP Pro LAN machine. This works, but does not solve the problem because the mdb needs to be on the client machine for performance reasons and the ability to work "stand alone". Plus, the same shared folder access works fine on all other servers / clients on my network. Compared all the SQL Server, Windows Server, etc versions to a known working setup and everything appears to be the same.

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  • SQL 2000: Intermittent Error 7399 with OLE DB Provider for Microsoft Jet

    - by Tim Lara
    I am using SQL Server 2000 on Windows Server 2003 SP2 and have set up a linked server to point at an Access 97 database using the OLE DB Provider 4.0 for Microsoft Jet. The problem I am having sounds almost exactly like the one described in this Microsoft KB article, except that the error I am getting is intermittent: http://support.microsoft.com/kb/814398 The SQL Server is running under the Local System account (which I don't have authority to change), and the Access 97 .mdb file that the linked server points to is on a Win XP Pro machine on the same LAN as the SQL Server machine, inside of a shared folder with permissions set to "Everyone" and "Full Control". Now, if the linked server connection never worked, it would make more sense that the problem is merely a permissions issue with the Local System account as the KB article above suggests, but the maddening thing is that sometimes the connection works just fine. When it fails, the error message is always the same: Error 7399: OLE DB provider 'Microsoft.Jet.OLEDB.4.0' reported an error. [OLE/DB provider returned message: Unspecified error] OLE DB error trace [OLE/DB Provider 'Microsoft.Jet.OLEDB.4.0' IDBInitialize::Initialize returned 0x80004005: ]. Also, not only does the linked server setup occasionally work just fine on this one particular SQL Server, what is supposed to be exactly the same setup on 25 other servers works just fine EVERY TIME! Obviously, something in the non-working setup must not be exactly the same, but I'm having trouble figuring out where to look for the differences since the error message SQL Server returns is so vague. I know our sysadmins have had numerous issues with Active Directory replication across our domain, so my best guess is that there is some sort of odd group policy corruption going on, but I thought I'd ask here to see if I might be overlooking something more straightforward. Any ideas on how to further isolate the error would be greatly appreciated! For the record, here is a list of things I've already tried: Rebooting the SQL Server machine. Fixes the issue temporarily, then the error returns within a minute or two of startup. (This is why I suspect a rogue group policy that is slow to apply fouling things up.) Importing all database objects from the Access 97 mdb into a new, clean mdb file. Makes no difference. Moving the Access 97 mdb file to a local directory on the SQL Server machine instead of accessing it via a share on the Win XP Pro LAN machine. This works, but does not solve the problem because the mdb needs to be on the client machine for performance reasons and the ability to work "stand alone". Plus, the same shared folder access works fine on all other servers / clients on my network. Compared all the SQL Server, Windows Server, etc versions to a known working setup and everything appears to be the same.

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  • Access losing db connections

    - by Dwight T
    I have a weird problem going on at work. People have been using MS Access to connect to sql server db and lately people are getting sporadic problems with connecting to the servers. It's not always the same users and it's not always a problem, which makes it a real pain to try to solve. One example of a related problem. A person has a linked table to a table and she would filter the table or write a query on the table to return where itemsku = 'ABCD1234'. It would return one record but the ItemSku LMKN7486 and everytime it would return the wrong record but consistently the wrong record so itemsku abcd1234 always returned LMNK7486 One would think it might be a driver problem, but it also could be a user problem. Just posting the question to see if anyone else has had similar senerios. Thanks

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  • PHP Zend Hash Vulnerability Exploitation Vector [closed]

    - by Resurrected Laplacian
    Possible Duplicate: CVE-2007-5416 PHP Zend Hash Vulnerability Exploitation Vector (Drupal) According to exploit-db, http://www.exploit-db.com/exploits/4510/, it says the following: Example: http://www.example.com/drupal/?_menu[callbacks][1][callback]=drupal_eval&_menu[items][][type]=-1&-312030023=1&q=1/ What are "[callbacks]","[1]" and all these stuffs? What should I put in to these stuffs? Can anyone present a real possible example? I wasn't asking for a real website; I was asking for a possible example! So, how would address be like - what should I put in to these stuffs, as the question says..

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  • Using Solr and Zends Lucene port together...

    - by thebluefox
    Afternoon chaps, After my adventures with Zend-Lucene-Search, and discovering it isn't all its cracked up to be when indexing large datasets, I've turned to Solr (thanks to Bill Karwin for that :) ) I've got Solr indexing the db far far quicker now, taking just over 8 minutes to index a table of just over 1.7million rows - which I'm very pleased with. However, when I come to try and search the index with the Zend port, I run into the following error; Fatal error: Uncaught exception 'Zend_Search_Lucene_Exception' with message 'Unsupported segments file format' in /var/www/Zend/Search/Lucene.php:407 Stack trace: #0 /var/www/Zend/Search/Lucene.php(555): Zend_Search_Lucene-_readSegmentsFile() #1 /var/www/z_search.php(12): Zend_Search_Lucene-__construct('tmp/feeds_index') #2 {main} thrown in /var/www/Zend/Search/Lucene.php on line 407 I've tried to have a search around but can't seem to find anything about this problem, everyone just seems to be able to get them to work? Any help as always much appreciated :) Thanks, Tom

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  • How the number of indexes built on a table can impact performances?

    - by Davide Mauri
    We all know that putting too many indexes (I’m talking of non-clustered index only, of course) on table may produce performance problems due to the overhead that each index bring to all insert/update/delete operations on that table. But how much? I mean, we all agree – I think – that, generally speaking, having many indexes on a table is “bad”. But how bad it can be? How much the performance will degrade? And on a concurrent system how much this situation can also hurts SELECT performances? If SQL Server take more time to update a row on a table due to the amount of indexes it also has to update, this also means that locks will be held for more time, slowing down the perceived performance of all queries involved. I was quite curious to measure this, also because when teaching it’s by far more impressive and effective to show to attended a chart with the measured impact, so that they can really “feel” what it means! To do the tests, I’ve create a script that creates a table (that has a clustered index on the primary key which is an identity column) , loads 1000 rows into the table (inserting 1000 row using only one insert, instead of issuing 1000 insert of one row, in order to minimize the overhead needed to handle the transaction, that would have otherwise ), and measures the time taken to do it. The process is then repeated 16 times, each time adding a new index on the table, using columns from table in a round-robin fashion. Test are done against different row sizes, so that it’s possible to check if performance changes depending on row size. The result are interesting, although expected. This is the chart showing how much time it takes to insert 1000 on a table that has from 0 to 16 non-clustered indexes. Each test has been run 20 times in order to have an average value. The value has been cleaned from outliers value due to unpredictable performance fluctuations due to machine activity. The test shows that in a  table with a row size of 80 bytes, 1000 rows can be inserted in 9,05 msec if no indexes are present on the table, and the value grows up to 88 (!!!) msec when you have 16 indexes on it This means a impact on performance of 975%. That’s *huge*! Now, what happens if we have a bigger row size? Say that we have a table with a row size of 1520 byte. Here’s the data, from 0 to 16 indexes on that table: In this case we need near 22 msec to insert 1000 in a table with no indexes, but we need more that 500msec if the table has 16 active indexes! Now we’re talking of a 2410% impact on performance! Now we can have a tangible idea of what’s the impact of having (too?) many indexes on a table and also how the size of a row also impact performances. That’s why the golden rule of OLTP databases “few indexes, but good” is so true! (And in fact last week I saw a database with tables with 1700bytes row size and 23 (!!!) indexes on them!) This also means that a too heavy denormalization is really not a good idea (we’re always talking about OLTP systems, keep it in mind), since the performance get worse with the increase of the row size. So, be careful out there, and keep in mind the “equilibrium” is the key world of a database professional: equilibrium between read and write performance, between normalization and denormalization, between to few and too may indexes. PS Tests are done on a VMWare Workstation 7 VM with 2 CPU and 4 GB of Memory. Host machine is a Dell Precsioni M6500 with i7 Extreme X920 Quad-Core HT 2.0Ghz and 16Gb of RAM. Database is stored on a SSD Intel X-25E Drive, Simple Recovery Model, running on SQL Server 2008 R2. If you also want to to tests on your own, you can download the test script here: Open TestIndexPerformance.sql

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  • Zend_Soap_Client doesn't work with proxy

    - by understack
    I'm accessing a SOAP web service like : $wsdl_url = 'http://abslive3.timesgroup.com:8888/clsRSchedule.soap?wsdl' ; $client = new Zend_Soap_Client($wsdl_url, array('proxy_host'=>"http://virtual-browser.25u.com" , 'proxy_port'=>80)); Since my shared server blocks port 8888, I'm using this proxy server. But Zend Soap Client tries to directly connect it. Exception information: Message: SOAP-ERROR: Parsing WSDL: Couldn't load from 'http://abslive3.timesgroup.com:8888/clsRSchedule.soap?wsdl' : failed to load external entity "http://abslive3.timesgroup.com:8888/clsRSchedule.soap?wsdl" Stack trace: #0 /home/..../library/Zend/Soap/Client/Common.php(51): SoapClient->SoapClient('http://abslive3...', Array) #1 /home/..../library/Zend/Soap/Client.php(1024): Zend_Soap_Client_Common->__construct(Array, 'http://abslive3...', Array) #2 /home/..../library/Zend/Soap/Client.php(1180): Zend_Soap_Client->_initSoapClientObject() #3 /home/..../library/Zend/Soap/Client.php(1104): Zend_Soap_Client->getSoapClient() #4 [internal function]: Zend_Soap_Client->__call('ReturnDataSet', Array) What am I doing wrong?

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  • Database - Designing an "Events" Table

    - by Alix Axel
    After reading the tips from this great Nettuts+ article I've come up with a table schema that would separate highly volatile data from other tables subjected to heavy reads and at the same time lower the number of tables needed in the whole database schema, however I'm not sure if this is a good idea since it doesn't follow the rules of normalization and I would like to hear your advice, here is the general idea: I've four types of users modeled in a Class Table Inheritance structure, in the main "user" table I store data common to all the users (id, username, password, several flags, ...) along with some TIMESTAMP fields (date_created, date_updated, date_activated, date_lastLogin, ...). To quote the tip #16 from the Nettuts+ article mentioned above: Example 2: You have a “last_login” field in your table. It updates every time a user logs in to the website. But every update on a table causes the query cache for that table to be flushed. You can put that field into another table to keep updates to your users table to a minimum. Now it gets even trickier, I need to keep track of some user statistics like how many unique times a user profile was seen how many unique times a ad from a specific type of user was clicked how many unique times a post from a specific type of user was seen and so on... In my fully normalized database this adds up to about 8 to 10 additional tables, it's not a lot but I would like to keep things simple if I could, so I've come up with the following "events" table: |------|----------------|----------------|--------------|-----------| | ID | TABLE | EVENT | DATE | IP | |------|----------------|----------------|--------------|-----------| | 1 | user | login | 201004190030 | 127.0.0.1 | |------|----------------|----------------|--------------|-----------| | 1 | user | login | 201004190230 | 127.0.0.1 | |------|----------------|----------------|--------------|-----------| | 2 | user | created | 201004190031 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 2 | user | activated | 201004190234 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 2 | user | approved | 201004190930 | 217.0.0.1 | |------|----------------|----------------|--------------|-----------| | 2 | user | login | 201004191200 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | created | 201004191230 | 127.0.0.1 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | impressed | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | clicked | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | clicked | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | clicked | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | clicked | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 15 | user_ads | clicked | 201004191231 | 127.0.0.2 | |------|----------------|----------------|--------------|-----------| | 2 | user | blocked | 201004200319 | 217.0.0.1 | |------|----------------|----------------|--------------|-----------| | 2 | user | deleted | 201004200320 | 217.0.0.1 | |------|----------------|----------------|--------------|-----------| Basically the ID refers to the primary key (id) field in the TABLE table, I believe the rest should be pretty straightforward. One thing that I've come to like in this design is that I can keep track of all the user logins instead of just the last one, and thus generate some interesting metrics with that data. Due to the nature of the events table I also thought of making some optimizations, such as: #9: Since there is only a finite number of tables and a finite (and predetermined) number of events, the TABLE and EVENTS columns could be setup as ENUMs instead of VARCHARs to save some space. #14: Store IPs as UNSIGNED INT with INET_ATON() instead of VARCHARs. Store DATEs as TIMESTAMPs instead of DATETIMEs. Use the ARCHIVE (or the CSV?) engine instead of InnoDB / MyISAM. Overall, each event would only consume 14 bytes which is okay for my traffic I guess. Pros: Ability to store more detailed data (such as logins). No need to design (and code for) almost a dozen additional tables (dates and statistics). Reduces a few columns per table and keeps volatile data separated. Cons: Non-relational (still not as bad as EAV): SELECT * FROM events WHERE id = 2 AND table = 'user' ORDER BY date DESC(); 6 bytes overhead per event (ID, TABLE and EVENT). I'm more inclined to go with this approach since the pros seem to far outweigh the cons, but I'm still a little bit reluctant.. Am I missing something? What are your thoughts on this? Thanks!

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  • Normalizing a table

    - by Alex
    I have a legacy table, which I can't change. The values in it can be modified from legacy application (application also can't be changed). Due to a lot of access to the table from new application (new requirement), I'd like to create a temporary table, which would hopefully speed up the queries. The actual requirement, is to calculate number of business days from X to Y. For example, give me all business days from Jan 1'st 2001 until Dec 24'th 2004. The table is used to mark which days are off, as different companies may have different days off - it isn't just Saturday + Sunday) The temporary table would be created from a .NET program, each time user enters the screen for this query (user may run query multiple times, with different values, table is created once), so I'd like it to be as fast as possible. Approach below runs in under a second, but I only tested it with a small dataset, and still it takes probably close to half a second, which isn't great for UI - even though it's just the overhead for first query. The legacy table looks like this: CREATE TABLE [business_days]( [country_code] [char](3) , [state_code] [varchar](4) , [calendar_year] [int] , [calendar_month] [varchar](31) , [calendar_month2] [varchar](31) , [calendar_month3] [varchar](31) , [calendar_month4] [varchar](31) , [calendar_month5] [varchar](31) , [calendar_month6] [varchar](31) , [calendar_month7] [varchar](31) , [calendar_month8] [varchar](31) , [calendar_month9] [varchar](31) , [calendar_month10] [varchar](31) , [calendar_month11] [varchar](31) , [calendar_month12] [varchar](31) , misc. ) Each month has 31 characters, and any day off (Saturday + Sunday + holiday) is marked with X. Each half day is marked with an 'H'. For example, if a month starts on a Thursday, than it will look like (Thursday+Friday workdays, Saturday+Sunday marked with X): ' XX XX ..' I'd like the new table to look like so: create table #Temp (country varchar(3), state varchar(4), date datetime, hours int) And I'd like to only have rows for days which are off (marked with X or H from previous query) What I ended up doing, so far is this: Create a temporary-intermediate table, that looks like this: create table #Temp_2 (country_code varchar(3), state_code varchar(4), calendar_year int, calendar_month varchar(31), month_code int) To populate it, I have a union which basically unions calendar_month, calendar_month2, calendar_month3, etc. Than I have a loop which loops through all the rows in #Temp_2, after each row is processed, it is removed from #Temp_2. To process the row there is a loop from 1 to 31, and substring(calendar_month, counter, 1) is checked for either X or H, in which case there is an insert into #Temp table. [edit added code] Declare @country_code char(3) Declare @state_code varchar(4) Declare @calendar_year int Declare @calendar_month varchar(31) Declare @month_code int Declare @calendar_date datetime Declare @day_code int WHILE EXISTS(SELECT * From #Temp_2) -- where processed = 0) BEGIN Select Top 1 @country_code = t2.country_code, @state_code = t2.state_code, @calendar_year = t2.calendar_year, @calendar_month = t2.calendar_month, @month_code = t2.month_code From #Temp_2 t2 -- where processed = 0 set @day_code = 1 while @day_code <= 31 begin if substring(@calendar_month, @day_code, 1) = 'X' begin set @calendar_date = convert(datetime, (cast(@month_code as varchar) + '/' + cast(@day_code as varchar) + '/' + cast(@calendar_year as varchar))) insert into #Temp (country, state, date, hours) values (@country_code, @state_code, @calendar_date, 8) end if substring(@calendar_month, @day_code, 1) = 'H' begin set @calendar_date = convert(datetime, (cast(@month_code as varchar) + '/' + cast(@day_code as varchar) + '/' + cast(@calendar_year as varchar))) insert into #Temp (country, state, date, hours) values (@country_code, @state_code, @calendar_date, 4) end set @day_code = @day_code + 1 end delete from #Temp_2 where @country_code = country_code AND @state_code = state_code AND @calendar_year = calendar_year AND @calendar_month = calendar_month AND @month_code = month_code --update #Temp_2 set processed = 1 where @country_code = country_code AND @state_code = state_code AND @calendar_year = calendar_year AND @calendar_month = calendar_month AND @month_code = month_code END I am not an expert in SQL, so I'd like to get some input on my approach, and maybe even a much better approach suggestion. After having the temp table, I'm planning to do (dates would be coming from a table): select cast(convert(datetime, ('01/31/2012'), 101) -convert(datetime, ('01/17/2012'), 101) as int) - ((select sum(hours) from #Temp where date between convert(datetime, ('01/17/2012'), 101) and convert(datetime, ('01/31/2012'), 101)) / 8) Besides the solution of normalizing the table, the other solution I implemented for now, is a function which does all this logic of getting the business days by scanning the current table. It runs pretty fast, but I'm hesitant to call a function, if I can instead add a simpler query to get result. (I'm currently trying this on MSSQL, but I would need to do same for Sybase ASE and Oracle)

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  • On asp:Table Control how do we create a thead ?

    - by balexandre
    from MSDN article on the subject we can see that we create a TableHeaderRowthat conatins TableHeaderCells. but they add the table header like this: myTable.Row.AddAt(0, headerRow); witch outputs the HTML: <table id="Table1" ... > <tr> <th scope="column" abbr="Col 1 Head">Column 1 Header</th> <th scope="column" abbr="Col 2 Head">Column 2 Header</th> <th scope="column" abbr="Col 3 Head">Column 3 Header</th> </tr> <tr> <td>(0,0)</td> <td>(0,1)</td> <td>(0,2)</td> </tr> ... and it should have <thead> and <tbody> (so it works seamless with tablesorter) :) <table id="Table1" ... > <thead> <tr> <th scope="column" abbr="Col 1 Head">Column 1 Header</th> <th scope="column" abbr="Col 2 Head">Column 2 Header</th> <th scope="column" abbr="Col 3 Head">Column 3 Header</th> </tr> </thead> <tbody> <tr> <td>(0,0)</td> <td>(0,1)</td> <td>(0,2)</td> </tr> ... </tbody> the HTML aspx code is <asp:Table ID="Table1" runat="server" /> How can I output the correct syntax? Just as information, the GridViewcontrol has this builed in as we just need to set teh Accesbility and use the HeaderRow gv.UseAccessibleHeader = true; gv.HeaderRow.TableSection = TableRowSection.TableHeader; gv.HeaderRow.CssClass = "myclass"; but the question is for the Table control.

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  • css display:table first column too wide

    - by Mestore
    I have a css table setup like this: <div class='table'> <div> <span>name</span> <span>details</span> </div> </div> The css for the table is: .table{ display:table; width:100%; } .table div{ text-align:right; display:table-row; border-collapse: separate; border-spacing: 0px; } .table div span:first-child { text-align:right; } .table div span { vertical-align:top; text-align:left; display:table-cell; padding:2px 10px; } As it stands the two columns are split evenly between the space occupied by the width of the table. I'm trying to get the first column only to be as wide as is needed by the text occupying it's cells The table is an unknown width, as are the columns/cells.

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  • Entire Table is pushed to the next page when rendering a SSRS 2005 Report (as .pdf) in SSRS 2008

    - by Pwninstein
    I have a SSRS 2005 report that I'm rendering in SSRS 2008 as a .pdf. The report contains (among other things) a table that's very simple: header row, details, no footer, no aggregation, no grouping, keep together = false, pageBreakAtStart = false, pageBreakAtEnd = false, repeatHeaderOnNewPage = true. I resized the table to be much narrower than the body of the report just to be sure it wasn't extending beyond the bounds of the report, pushing everything down. But, no matter what I try, if some of the detail rows in that table would need to be pushed to the next page, then the ENTIRE TABLE is pushed to the next page, not just the extra rows. So my question is: Is there a workaround for this problem, is this a known issue, or is it even possible to get this 2005 report to render properly in 2008? NOTE: this is related to a question that I previously asked here, and is based on this MSDN forum post started by a coworker. This question is not the same as my previous question, as I'd like to see things work properly in with a 2005 report. If it's not possible, that would be good to know, as it would indicate that we need to upgrade one of our servers to SQL 2008. Thanks!

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  • NoSQL DB for .Net document-based database (ECM)

    - by Dane
    I'm halfway through coding a basic multi-tenant SaaS ECM solution. Each client has it's own instance of the database / datastore, but the .Net app is single instance. The documents are pretty much read only (i.e. an image archive of tiffs or PDFs) I've used MSSQL so far, but then started thinking this might be viable in a NoSQL DB (e.g. MongoDB, CouchDB). The basic premise is that it stores documents, each with their own particular indexes. Each tenant can have multiple document types. e.g. One tenant might have an invoice type, which has Customer ID, Invoice Number and Invoice Date. Another tenant might have an application form, which has Member Number, Application Number, Member Name, and Application Date. So far I've used the old method which Sharepoint (used?) to use, and created a document table which has int_field_1, int_field_2, date_field_1, date_field_2, etc. Then, I've got a "mapping" table which stores the customer specific index name, and the database field that will map to. I've avoided the key-value pair model in the DB due to volume of documents. This way, we can support multiple document types in the one table, and get reasonably high performance out of it, and allow for custom document type searches (i.e. user selects a document type, then they're presented with a list of search fields). However, a NoSQL DB might make this a lot simpler, as I don't need to worry about denormalizing the document. However, I've just got concerns about the rest of the data around a document. We store an "action history" against the document. This tracks views, whether someone emails the document from within the system, and other "future" functionality (e.g. faxing). We have control over the document load process, so we can manipulate the data however it needs to be to get it in the document store (e.g. assign unique IDs). Users will not be adding in their own documents, so we shouldn't need to worry about ACID compliance, as the documents are relatively static. So, my questions I guess : Is a NoSQL DB a good fit Is MongoDB the best for Asp.Net (I saw Raven and Velocity, but they're still kinda beta) Can I store a key for each document, and then store the action history in a MSSQL DB with this key? I don't need to do joins, it would be if a person clicks "View History" against a document. How would performance compare between the two (NoSQL DB vs denormalized "document" table) Volumes would be up to 200,000 new documents per month for a single tenant. My current scaling plan with the SQL DB involves moving the SQL DB into a cluster when certain thresholds are reached, and then reviewing partitioning and indexing structures.

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  • Avoiding Duplicate Data in DB (for use with Rails)

    - by ants
    I have five tables that I am trying to get to work nicely together but may need some help. I have three main tables: accounts members and roles. With two join tables account_members and account_member_roles. The accounts and members table are joined by account_members (fk account_id and member_id) table. The other 2 tables are the problem (roles and account_member_roles). A member of an account can have more than one role and I have the account_member_roles (fk account_member_id and role_id) table joining the account_members join table and the roles table. That seems logical but can you have a relationship with a join table? What I'd like to be able to do is when creaeting an account, for instance, I would like @account.save to include the roles and update the account_member_roles table neatly ..... but through the account_members join table. I've tried ..... accept_nested_attributes_for :members, :account_member_roles in the account.rb but I get ..... ActiveRecord::HasManyThroughCantAssociateThroughHasManyReflection (Cannot modify association 'Account#account_member_roles' because the source reflection class 'AccountMemberRole' is associated to 'AccountMember' via :has_many.) upon trying to save a record. Any advice on how I should approach this? CIA -ants

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  • Jquery add table row after the row which calling the jquery.

    - by marharépa
    Hello! I've got a table. <table id="servers" ...> ... {section name=i loop=$ownsites} <tr id="site_id_{$ownsites[i].id}"> ... <td>{$ownsites[i].phone}</td> <td class="icon"><a id="{$ownsites[i].id}" onClick="return makedeleterow(this.getAttribute('id'));" ...></a></td> </tr> {/section} <tbody> </table> And this java script. <script type="text/javascript"> function makedeleterow(id) { $('#delete').remove(); $('#servers').append($(document.createElement("tr")).attr({id: "delete"})); $('#delete').append($(document.createElement("td")).attr({colspan: "9", id: "deleter"})); $('#deleter').text('Biztosan törölni szeretnéd ezt a weblapod?'); $('#deleter').append($(document.createElement("input")).attr({type: "submit", id: id, onClick: "return truedeleterow(this.getAttribute('id'))"})); $('#deleter').append($(document.createElement("input")).attr({type: "hidden", name: "website_del", value: id})); } </script> It's workin fine, it makes a tr after the table's last tr and put the info to it, and the delete function also works fine. But i'd like to make this append AFTER the tr (with td class="icon") which calling the script. How can i do this?

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  • PHP / Zend Framework: Force prepend table name to column name in result array?

    - by Brian Lacy
    I am using Zend_Db_Select currently to retrieve hierarchical data from several joined tables. I need to be able to convert this easily into an array. Short of using a switch statement and listing out all the columns individually in order to sort the data, my thought was that if I could get the table names auto-prepended to the keys in the result array, that would solve my problem. So considering the following (assembled) SQL: SELECT user.*, contact.* FROM user INNER JOIN contact ON contact.user_id = user.user_id I would normally get a result array like this: [username] => 'bob', [contact_id] => 5, [user_id] => 2, [firstname] => 'bob', [lastname] => 'larsen' But instead I want this: [user.user_id] => 2, [user.username] => 'bob', [contact.contact_id] => 5, [contact.firstname] => 'bob', [contact.lastname] => 'larsen' Does anyone have an idea how to achieve this? Thanks!

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  • How do I use price data in one table for a calculation that is stored in another table?

    - by shane
    I'm still leanring PHP/MySQL but have learned quite a bit thanks to codies on StackOverflow. I'm trying to setup a sort of room reservations system using two tables: SETUP: Room price table: Has, prices for a type room a client may want to rent as well as the dates (day of week) they wish to use it. Pricing varies based on day of the week and per room. I've setup a different table for each room type as each room type carries different pricing for each day of the week. So, There is an Alpha room table, Bravo room, etc. Within Alpha table are headers for the days of the week with pricing pre-entered into the rows. Client info table: Has the name, address, date of room use, etc data for the specific client. EXAMPLE: Alpha-room price table: Sun = $100; Mon = $200; Tue=$300 and so on. Bravo-room price table: Sun = $100; Mon = $200; Tue=$300 and so on. Client data table: ClientName; date-of-room-use; address; day_subtotal; grand_total. QUESTION: I'm trying to find PHP code that will: look at the date of room use in the client data table, look up the associated cost for that date in the specific room pricing table, record that unit cost in the day subtotal of the client data table and sum a grand total in the grand total row of the client data table (assuming the room may be used more than one day by the customer). I know there's something to do with join but I'm finding it difficult to grasp the concept and, if someone can demonstrate using this example, I think I will have a better understanding of how to work this sort of transaction. Thank you ALL in advance for your suggestions or alternatvie approaches.

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