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  • Joomla 2.5 disable and remove Smart Cache

    - by WooDzu
    I am maintaining a Joomla 2.5 based magazine website with 3-4 new, long articles every day. Smart Search was enabled by default and now I've got a few "finder" tables full of indexed phrases and therms. I wonder if there are any disadvantages if I'd: Disable the Smart Search plugin Remove these 'finder' tables completely Aha, we're using a Search field, which works fine, but I'm not sure what's going to happen if I disable the plugin and remove these tables. Will it then search for phrases in content Joomla tables or simply break w/o missing 'finder' tables Has anyone tried this before?

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  • Steps for MySQL DB Replication

    - by Manish Agrawal
    Following are the steps for MySQL Replication implementation on Linux machine: Pre-implementation steps for DB Replication:   1.    Identify the databases to be replicated 2.    Identify the tables to be ignored during replication per database for example log tables 3.  Carefully identify and replace the variables and paths(locations) mentioned (in bold) in the commands given below with appropriate values 4.  Schedule the maintenance activity in odd hours as these activities will affect all the databases on Master database server       Implementation steps for DB Replication:     1.    Configure the /etc/my.cnf file on Master database server to enable Binary logging, setting of server id and configuring of dbnames for which logging should be done. [mysqld] log-bin=mysql-bin server-id=1 binlog-do-db = dbname   Note: You can specify multiple DB in binlog-do-db by using comma separated dbname values like: dbname1, dbname2, …, dbnameN   2.    On Master database, Grant Replication Slave Privileges, by executing following command on mysql prompt mysql> GRANT REPLICATION SLAVE ON *.* TO slaveuser@<hostname> identified by ‘slavepassword’;   3.    Stop the Master & Slave database by giving the command      mysqladmin shutdown   4.    Start the Master database by giving the command      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user&     5.    mysql> FLUSH TABLES WITH READ LOCK; Note: Leave the client (putty session) from which you issued the FLUSH TABLES statement running, so that the read lock remains in effect. If you exit the client, the lock is released. 6.    mysql > SHOW MASTER STATUS;          +---------------+----------+--------------+------------------+          | File          | Position | Binlog_Do_DB | Binlog_Ignore_DB |          +---------------+----------+--------------+------------------+          | mysql-bin.003 | 117       | dbname       |                  |          +---------------+----------+--------------+------------------+ Note: Note this information as this will be required while starting of Slave and replication in later steps   7.    Take MySQL dump by giving the following command, In another session window (putty window) run the following command: mysqldump –u user --ignore-table=dbname.tbl_name -–ignore-table=dbname.tbl_name2 --master-data dbname > dbname_dump.db Note: When choosing databases to include in the dump, remember that you will need to filter out databases on each slave that you do not want to include in the replication process.     8.    Unlock the tables on Master by giving following command: mysql> UNLOCK TABLES;   9.    Copy the dump file to Slave DB server   10.  Startup the Slave by using option --skip-slave      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user --skip-slave&   11.  Restore the dump file on Slave DB server      mysql –u user dbname < dbname_dump.db   12.  Stop the Slave database by giving the command      mysqladmin shutdown   13.  Configure the /etc/my.cnf file on the Slave database server [mysqld] server-id=2 replicate-ignore-table = dbname.tablename   14.  Start the Slave Mysql Server with 'replicate-do-db=DB name' option.      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user --replicate-do-db=dbname --skip-slave   15.  Configure the settings at Slave server for Master host name, log filename and position within the log file as shown in Step 6 above Use Change Master statement in the MySQL session mysql> CHANGE MASTER TO MASTER_HOST='<master_host_name>', MASTER_USER='<replication_user_name>', MASTER_PASSWORD='<replication_password>', MASTER_LOG_FILE='<recorded_log_file_name>', MASTER_LOG_POS=<recorded_log_position>;   16.  On Slave Servers mysql prompt give the following command: a.     mysql > START SLAVE; b.    mysql > SHOW SLAVE STATUS;         Note: To stop slave for backup or any other activity you can use the following command on the Slave Servers mysql prompt: mysql> STOP SLAVE     Refer following links for more information on MySQL DB Replication: http://dev.mysql.com/doc/refman/5.0/en/replication-options.html http://crazytoon.com/2008/04/21/mysql-replication-replicate-by-choice/ http://dev.mysql.com/doc/refman/5.0/en/mysqldump.html

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  • A temporary disagreement

    - by Tony Davis
    Last month, Phil Factor caused a furore amongst some MVPs with an article that attempted to offer simple advice to developers regarding the use of table variables, versus local and global temporary tables, in their code. Phil makes clear that the table variables do come with some fairly major limitations.no distribution statistics, no parallel query plans for queries that modify table variables.but goes on to suggest that for reasonably small-scale strategic uses, and with a bit of due care and testing, table variables are a "good thing". Not everyone shares his opinion; in fact, I imagine he was rather aghast to learn that there were those felt his article was akin to pulling the pin out of a grenade and tossing it into the database; table variables should be avoided in almost all cases, according to their advice, in favour of temp tables. In other words, a fairly major feature of SQL Server should be more-or-less 'off limits' to developers. The problem with temp tables is that, because they are scoped either in the procedure or the connection, it is easy to allow them to hang around for too long, eating up precious memory and bulking up the shared tempdb database. Unless they are explicitly dropped, global temporary tables, and local temporary tables created within a connection rather than within a stored procedure, will persist until the connection is closed or, with connection pooling, until the connection is reused. It's also quite common with ASP.NET applications to have connection leaks, as Bill Vaughn explains in his chapter in the "SQL Server Deep Dives" book, meaning that the web page exits without closing the connection object, maybe due to an error condition. This will then hang around in the heap for what might be hours before picked up by the garbage collector. Table variables are much safer in this regard, since they are batch-scoped and so are cleaned up automatically once the batch is complete, which also means that they are intuitive to use for the developer because they conform to scoping rules that are closer to those in procedural code. On the surface then, an ideal way to deal with issues related to tempdb memory hogging. So why did Phil qualify his recommendation to use Table Variables? This is another of those cases where, like scalar UDFs and table-valued multi-statement UDFs, developers can sometimes get into trouble with a relatively benign-looking feature, due to way it's been implemented in SQL Server. Once again the biggest problem is how they are handled internally, by the SQL Server query optimizer, which can make very poor choices for JOIN orders and so on, in the absence of statistics, especially when joining to tables with highly-skewed data. The resulting execution plans can be horrible, as will be the resulting performance. If the JOIN is to a large table, that will hurt. Ideally, Microsoft would simply fix this issue so that developers can't get burned in this way; they've been around since SQL Server 2000, so Microsoft has had a bit of time to get it right. As I commented in regard to UDFs, when developers discover issues like with such standard features, the database becomes an alien planet to them, where death lurks around each corner, and they continue to avoid these "killer" features years after the problems have been eventually resolved. In the meantime, what is the right approach? Is it to say "hammers can kill, don't ever use hammers", or is it to try to explain, as Phil's article and follow-up blog post have tried to do, what the feature was intended for, why care must be applied in its use, and so enable developers to make properly-informed decisions, without requiring them to delve deep into the inner workings of SQL Server? Cheers, Tony.

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  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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  • Azure Mobile Services: lessons learned

    - by svdoever
    When I first started using Azure Mobile Services I thought of it as a nice way to: authenticate my users - login using Twitter, Google, Facebook, Windows Live create tables, and use the client code to create the columns in the table because that is not possible in the Azure Mobile Services UI run some Javascript code on the table crud actions (Insert, Update, Delete, Read) schedule a Javascript to run any 15 or more minutes I had no idea of the magic that was happening inside… where is the data stored? Is it a kind of big table, are relationships between tables possible? those Javascripts on the table crud actions, is that interpreted, what is that exactly? After working for some time with Azure Mobile Services I became a lot wiser: Those tables are just normal tables in an Azure SQL Server 2012 Creating the table columns through client code sucks, at least from my Javascript code, because the columns are deducted from the sent JSON data, and a datetime field is sent as string in JSON, so a string type column is created instead of a datetime column You can connect with SQL Management Studio to the Azure SQL Server, and although you can’t manage your columns through the SQL Management Studio UI, it is possible to just run SQL scripts to drop and create tables and indices When you create a table through SQL script, add the table with the same name in the Azure Mobile Services UI to hook it up and be able to access the table through the provided abstraction layer You can also go to the SQL Database through the Azure Mobile Services UI, and from there get in a web based SQL management studio where you can create columns and manage your data The table crud scripts and the scheduler scripts are full blown node.js scripts, introducing a lot of power with great performance The web based script editor is really powerful, I do most of my editing currently in the editor which has syntax highlighting and code completing. While editing the code JsHint is used for script validation. The documentation on Azure Mobile Services is… suboptimal. It is such a pity that there is no way to comment on it so the community could fill in the missing holes, like which node modules are already loaded, and which modules are available on Azure Mobile Services. Soon I was hacking away on Azure Mobile Services, creating my own database tables through script, and abusing the read script of an empty table named query to implement my own set of “services”. The latest updates to Azure Mobile Services described in the following posts added some great new features like creating web API’s, use shared code from your scripts, command line tools for managing Azure Mobile Services (upload and download scripts for example), support for node modules and git support: http://weblogs.asp.net/scottgu/archive/2013/06/14/windows-azure-major-updates-for-mobile-backend-development.aspx http://blogs.msdn.com/b/carlosfigueira/archive/2013/06/14/custom-apis-in-azure-mobile-services.aspx http://blogs.msdn.com/b/carlosfigueira/archive/2013/06/19/custom-api-in-azure-mobile-services-client-sdks.aspx In the mean time I rewrote all my “service-like” table scripts to API scripts, which works like a breeze. Bad thing with the current state of Azure Mobile Services is that the git support is not working if you are a co-administrator of your Azure subscription, and not and administrator (as in my case). Another bad thing is that Cross Origin Request Sharing (CORS) is not supported for the API yet, so no go yet from the browser client for API’s, which is my case. See http://social.msdn.microsoft.com/Forums/windowsazure/en-US/2b79c5ea-d187-4c2b-823a-3f3e0559829d/known-limitations-for-source-control-and-custom-api-features for more on these and other limitations. In his talk at Build 2013 Josh Twist showed that there is a work-around for accessing shared script code from the table scripts as well (another limitation mentioned in the post above). I could not find that code in the Votabl2 code example from the presentation at https://github.com/joshtwist/votabl2, but we can grab it from the presentation when it comes online on Channel9. By the way: you can always express your needs and ideas at http://mobileservices.uservoice.com, that’s the place they are listening to (I hope!).

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  • SQL to select random mix of rows fairly [migrated]

    - by Matt Sieker
    Here's my problem: I have a set of tables in a database populated with data from a client that contains product information. In addition to the basic product information, there is also information about the manufacturer, and categories for those products (a product can be in one or more categories). These categories are then referred to as "Product Categories", and which stores these products are available at. These tables are updated once a week from a feed from the customer. Since for our purposes, some of the product categories are the same, or closely related for our purposes, there is another level of categories called "General Categories", a general category can have one or more product categories. For the scope of these tables, here's some rough numbers: Data Tables: Products: 475,000 Manufacturers: 1300 Stores: 150 General Categories: 245 Product Categories: 500 Mapping Tables: Product Category -> Product: 655,000 Stores -> Products: 50,000,000 Now, for the actual problem: As part of our software, we need to select n random products, given a store and a general category. However, we also need to ensure a good mix of manufacturers, as in some categories, a single manufacturer dominates the results, and selecting rows at random causes the results to strongly favor that manufacturer. The solution that is currently in place, works for most cases, involves selecting all of the rows that match the store and category criteria, partition them on manufacturer, and include their row number from within their partition, then select from that where the row number for that manufacturer is less than n, and use ROWCOUNT to clamp the total rows returned to n. This query looks something like this: SET ROWCOUNT 6 select p.Id, GeneralCategory_Id, Product_Id, ISNULL(m.DisplayName, m.Name) AS Vendor, MSRP, MemberPrice, FamilyImageName from (select p.Id, gc.Id GeneralCategory_Id, p.Id Product_Id, ctp.Store_id, Manufacturer_id, ROW_NUMBER() OVER (PARTITION BY Manufacturer_id ORDER BY NEWID()) AS 'VendorOrder', MSRP, MemberPrice, FamilyImageName from GeneralCategory gc inner join GeneralCategoriesToProductCategories gctpc ON gc.Id=gctpc.GeneralCategory_Id inner join ProductCategoryToProduct pctp on gctpc.ProductCategory_Id = pctp.ProductCategory_Id inner join Product p on p.Id = pctp.Product_Id inner join StoreToProduct ctp on p.Id = ctp.Product_id where gc.Id = @GeneralCategory and ctp.Store_id=@StoreId and p.Active=1 and p.MemberPrice >0) p inner join Manufacturer m on m.Id = p.Manufacturer_id where VendorOrder <=6 order by NEWID() SET ROWCOUNT 0 (I've tried to somewhat format it to make it cleaner, but I don't think it really helps) Running this query with an execution plan shows that for the majority of these tables, it's doing a Clustered Index Seek. There are two operations that take up roughly 90% of the time: Index Seek (Nonclustered) on StoreToProduct: 17%. This table just contains the key of the store, and the key of the product. It seems that NHibernate decided not to make a composite key when making this table, but I'm not concerned about this at this point, as compared to the other seek... Clustered Index Seek on Product: 69%. I really have no clue how I could make this one more performant. On categories without a lot of products, performance is acceptable (<50ms), however larger categories can take a few hundred ms, with the largest category taking 3s (which has about 170k products). It seems I have two ways to go from this point: Somehow optimize the existing query and table indices to lower the query time. As almost every expensive operation is already a clustered index scan, I don't know what could be done there. The inner query could be tuned to not return all of the possible rows for that category, but I am unsure how to do this, and maintain the requirements (random products, with a good mix of manufacturers) Denormalize this data for the purpose of this query when doing the once a week import. However, I am unsure how to do this and maintain the requirements. Does anyone have any input on either of these items?

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  • relational data from xml

    - by Beta033
    Our problem is this, we have a relational database to store objects in tables. As any relational database could, several of these tables have multiple foreign keys pointing to other tables (all pretty normal stuff) We've been trying to identify a solution to allow export of this relational data, ideally, only 1 of the objects in the model, to some sort of file (xml, text, ??). So it wouldn't be simple enough to just export 1 table as data stored in other tables would contribute to the complete model of the object. Something like the following picture: Toward this, i've written a routine to export the structure by following the foreign key paths which exports something similar to the following. <Tables> <TableA PK="1", val1, val2, val3> <TableC PK="1", FK_A="1", Val1, val2, val3> <TableC PK="2", FK_A="1", val1, val2, val3> <TableB PK="1", FK_A="1", FK_C="1", val1, val2, val3> <TableB PK="2", FK_A="1", FK_C="2", val1, val2, val3> <TableD PK="1", FK_B="1", FK_C="1", val1> <TableD PK="2", FK_B="2", FK_C="1", val1> </Tables> However, given this structure, it cannot be placed into a heirarchial format (ie D2 is a child of C1 and B2; and B2 is a child of C2) Which in turn, makes my life very difficult when trying to identify a methodology to reimport (and reKey) these objects. Has anybody done anything like this? how do you do it? are there tools or documentation on how this is best accomplished? Thanks for your help.

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  • MS SQL SELECT stored procedure according to combobox.selectedvalue

    - by Jay
    Hello, In order to fill a datagridview according to the selectedvalue of a combobox I've tried creating a stored procedure. However, as I'm not 100% sure what I'm doing it, depending on the WHERE statement at the end of my stored procedure, either returns everything within the table or nothing at all. This is what's in my class: Public Function GetAankoopDetails(ByRef DisplayMember As String, ByRef ValueMember As String) As DataTable DisplayMember = "AankoopDetailsID" ValueMember = "AankoopDetailsID" If DS.Tables.Count > 0 Then DS.Tables.Remove(DT) End If DT = DAC.ExecuteDataTable(My.Resources.S_AankoopDetails, _Result, _ DAC.Parameter(Const_AankoopID, AankoopID), _ DAC.Parameter("@ReturnValue", 0)) DS.Tables.Add(DT) Return DT End Function Public Function GetAankoopDetails() As DataTable If DS.Tables.Count > 0 Then DS.Tables.Remove(DT) End If DT = DAC.ExecuteDataTable(My.Resources.S_AankoopDetails, _Result, _ DAC.Parameter(Const_AankoopID, AankoopID), _ DAC.Parameter("@ReturnValue", 0)) DS.Tables.Add(DT) Return DT End Function This is the function in the code behind the form I've written in order to fill the datagridview: Private Sub GridAankoopDetails_Fill() Try Me.Cursor = Cursors.WaitCursor dgvAankoopDetails.DataSource = Nothing _clsAankoopDetails.AankoopDetailsID = cboKeuze.SelectedValue dgvAankoopDetails.DataSource = _clsAankoopDetails.GetAankoopDetails Catch ex As Exception MessageBox.Show("An error occurred while trying to fill the data grid: " & ex.Message, "Oops!", MessageBoxButtons.OK) Finally Me.Cursor = Cursors.Default End Try End Sub And finally, this is my stored procedure: (do note that I'm not sure what I'm doing here) USE [Budget] GO /****** Object: StoredProcedure [dbo].[S_AankoopDetails] Script Date: 04/12/2010 03:10:52 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[S_AankoopDetails] ( @AankoopID int, @ReturnValue int output ) AS declare @Value int set @Value =@@rowcount if @Value = 0 begin SELECT dbo.tblAankoopDetails.AankoopDetailsID, dbo.tblAankoopDetails.AankoopID, dbo.tblAankoopDetails.ArtikelID, dbo.tblAankoopDetails.Aantal, dbo.tblAankoopDetails.Prijs, dbo.tblAankoopDetails.Korting, dbo.tblAankoopDetails.SoortKorting, dbo.tblAankoopDetails.UitgavenDeelGroepID FROM dbo.tblAankoopDetails INNER JOIN dbo.tblAankoop ON dbo.tblAankoopDetails.AankoopID = dbo.tblAankoop.AankoopID INNER JOIN dbo.tblArtikel ON dbo.tblAankoopDetails.ArtikelID = dbo.tblArtikel.ArtikelID INNER JOIN dbo.tblUitgavenDeelGroep ON dbo.tblAankoopDetails.UitgavenDeelGroepID = dbo.tblUitgavenDeelGroep.UitgavenDeelGroepID WHERE dbo.tblAankoopDetails.Deleted = 0 and dbo.tblAankoopDetails.AankoopID = @AankoopID ORDER BY AankoopID if @@rowcount >0 begin set @ReturnValue=999 end else begin set @ReturnValue=997 end end if @Value >0 begin --Dit wil zeggen dat ik een gebruiker wil ingeven die reeds bestaat. (998) set @ReturnValue=998 end Does anyone know what I'm need to do to resolve this? Kind regards, Jay

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  • Status of Data in Rollback of Large Transaction in SQL Server

    - by Lloyd Banks
    I have a data warehousing procedure that downloads and replaces dozens of tables from a linked server to a local database. Every once in a while, the code will get stuck on one of the tables on the linked server because the table on the linked server is in a state of transition. I am under the assumption that since the entire procedure is considered one transaction commit, when the procedure gets stuck, none of the changes made by the procudure so far would have committed. But the opposite seems to be true, tables that were "downloaded" before the procedure got stuck would have been updated with today's versions on the local server. Shouldn't SQL Server wait for the entire procedure to finish before the changes are durable? CREATE PROCEDURE MYIMPORT AS BEGIN SET NOCOUNT ON IF EXISTS (SELECT * FROM INFORMATION.SCHEMA.TABLES WHERE TABLE_NAME = 'TABLE1') DROP TABLE TABLE1 SELECT COLUMN1, COLUMN2, COLUMN3 INTO TABLE1 FROM OPENQUERY(MYLINK, 'SELECT COLUMN1, COLUMN2, COLUMN3 FROM TABLE1') IF EXISTS (SELECT * FROM INFORMATION.SCHEMA.TABLES WHERE TABLE_NAME = 'TABLE2') DROP TABLE TABLE2 SELECT COLUMN1, COLUMN2, COLUMN3 INTO TABLE2 FROM OPENQUERY(MYLINK, 'SELECT COLUMN1, COLUMN2, COLUMN3 FROM TABLE2') --IF THE PROCEDURE GETS STUCK HERE, THEN CHANGES TO TABLE1 WOULD HAVE BEEN MADE ON THE LOCAL SERVER WHILE NO CHANGES WOULD HAVE BEEN MADE TO TABLE3 ON THE LOCAL SERVER IF EXISTS (SELECT * FROM INFORMATION.SCHEMA.TABLES WHERE TABLE_NAME = 'TABLE3') DROP TABLE TABLE3 SELECT COLUMN1, COLUMN2, COLUMN3 INTO TABLE3 FROM OPENQUERY(MYLINK, 'SELECT COLUMN1, COLUMN2, COLUMN3 FROM TABLE3') END

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  • fill combobox value in datagridview based on other combobox in datagridview

    - by Purohit Raghu
    I m creating Web Application..in C# I have One Data grid view In that i Have 2 Combo box i m trying 2 bind second combo box based on first combo-box. in First Combo-box I have value Shirt,T shirt so i want if shirt is selected than second combo-box should have value Slim,Regular..and if T shirt Is selected than second Combo-box should have V neck and rounded color. i have different table for thirst and shirt type... I work fine for first time but when i goes on second row and change the combo box value than it will also change value of second combo box value of previous row as well .. Where i need to change to prevent change in upper row i have following code private void dataGridView1_EditingControlShowing(object sender, DataGridViewEditingControlShowingEventArgs e) { if (dataGridView1.CurrentCell.ColumnIndex == 0) { ComboBox cbx = e.Control as ComboBox; cbx.SelectionChangeCommitted -= new EventHandler(cbx_SelectionChangeCommitted); cbx.SelectionChangeCommitted += new EventHandler(cbx_SelectionChangeCommitted); } } private void cbx_SelectionChangeCommitted(object sender, EventArgs e) { int selectedIndex = ((ComboBox)sender).SelectedIndex; if (selectedIndex == 1) //this condition is true if i have selected shirt from combobox1 { ShirtType(); } if (selectedIndex == 2) { Tshirtype(); } } void ShirtType() { try { string str; str = "select ShirtType_name,ShirtType_Id from ShirtType_master"; ds = new DataSet(); ds = cn.readdata(str); Type.DataSource = ds.Tables[0];//Type is Combobox name of Second Combobox Type.DisplayMember = ds.Tables[0].Columns[0].ToString(); ; Type.ValueMember = ds.Tables[0].Columns[1].ToString(); ; } catch (Exception ee) { } } void Tshirtype() { try { string str; str = "select TShirtType_name,TshirtType_Id from TshirtType_Master"; ds = new DataSet(); ds = cn.readdata(str); Type.DataSource = ds.Tables[0]; Type.DisplayMember = ds.Tables[0].Columns[0].ToString(); ; Type.ValueMember = ds.Tables[0].Columns[1].ToString(); ; }

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  • InvalidArgument=Value of '3' is not valid for 'rowIndex'

    - by Devendra Dwivedi
    Hi all This is my code It is working for if 1 terminal that is having 3 services but it is not working for more than 3 services when I do then I have got following error message: InvalidArgument=Value of '3' is not valid for 'rowIndex' I have so tired to find this problem but couldn't get any solutions. Anybody please help me. MySqlCommand command = new MySqlCommand("VTerminalsLoad");//Procedure MySqlDataAdapter terminalAdapter = this.Database.ExecuteCommand(command); terminalAdapter.Fill(dataSet, "Terminals"); command = new MySqlCommand("VTServicesLoad");//Procedure command.Parameters.Add(new MySqlParameter("pVesselID", 1)); MySqlDataAdapter serviceAdapter = this.Database.ExecuteCommand(command);//Return Adaptor serviceAdapter.Fill(dataSet, "Services"); DataColumn[] parentColumns = { dataSet.Tables[0].Columns["SerialNo"], dataSet.Tables[0].Columns["VesselID"], dataSet.Tables[0].Columns["TerminalID"] }; DataColumn[] childColumns = { dataSet.Tables[1].Columns["SerialNo"], dataSet.Tables[1].Columns["VesselID"], dataSet.Tables[1].Columns["TerminalID"] }; DataRelation relationTS = new DataRelation("TerminalsServices", parentColumns, childColumns); dataSet.Relations.Add(relationTS); //Parent Table ListTerminal.DataSource = dataSet; //ListTerminal Parent datagridview ListTerminal.DataMember = "Terminals"; //Child Table ListServices.DataSource = dataSet;// ListServices Child datagridview ListServices.DataMember = "Terminals.TerminalsServices";

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  • SQL Server SELECT stored procedure according to combobox.selectedvalue

    - by Jay
    In order to fill a datagridview according to the selectedvalue of a combobox I've tried creating a stored procedure. However, as I'm not 100% sure what I'm doing, depending on the WHERE statement at the end of my stored procedure, it either returns everything within the table or nothing at all. This is what's in my class: Public Function GetAankoopDetails(ByRef DisplayMember As String, ByRef ValueMember As String) As DataTable DisplayMember = "AankoopDetailsID" ValueMember = "AankoopDetailsID" If DS.Tables.Count > 0 Then DS.Tables.Remove(DT) End If DT = DAC.ExecuteDataTable(My.Resources.S_AankoopDetails, _Result, _ DAC.Parameter(Const_AankoopID, AankoopID), _ DAC.Parameter("@ReturnValue", 0)) DS.Tables.Add(DT) Return DT End Function Public Function GetAankoopDetails() As DataTable If DS.Tables.Count > 0 Then DS.Tables.Remove(DT) End If DT = DAC.ExecuteDataTable(My.Resources.S_AankoopDetails, _Result, _ DAC.Parameter(Const_AankoopID, AankoopID), _ DAC.Parameter("@ReturnValue", 0)) DS.Tables.Add(DT) Return DT End Function This is the function in the code behind the form I've written in order to fill the datagridview: Private Sub GridAankoopDetails_Fill() Try Me.Cursor = Cursors.WaitCursor dgvAankoopDetails.DataSource = Nothing _clsAankoopDetails.AankoopDetailsID = cboKeuze.SelectedValue dgvAankoopDetails.DataSource = _clsAankoopDetails.GetAankoopDetails Catch ex As Exception MessageBox.Show("An error occurred while trying to fill the data grid: " & ex.Message, "Oops!", MessageBoxButtons.OK) Finally Me.Cursor = Cursors.Default End Try End Sub And finally, this is my stored procedure: (do note that I'm not sure what I'm doing here) USE [Budget] GO /****** Object: StoredProcedure [dbo].[S_AankoopDetails] Script Date: 04/12/2010 03:10:52 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROCEDURE [dbo].[S_AankoopDetails] ( @AankoopID int, @ReturnValue int output ) AS declare @Value int set @Value =@@rowcount if @Value = 0 begin SELECT dbo.tblAankoopDetails.AankoopDetailsID, dbo.tblAankoopDetails.AankoopID, dbo.tblAankoopDetails.ArtikelID, dbo.tblAankoopDetails.Aantal, dbo.tblAankoopDetails.Prijs, dbo.tblAankoopDetails.Korting, dbo.tblAankoopDetails.SoortKorting, dbo.tblAankoopDetails.UitgavenDeelGroepID FROM dbo.tblAankoopDetails INNER JOIN dbo.tblAankoop ON dbo.tblAankoopDetails.AankoopID = dbo.tblAankoop.AankoopID INNER JOIN dbo.tblArtikel ON dbo.tblAankoopDetails.ArtikelID = dbo.tblArtikel.ArtikelID INNER JOIN dbo.tblUitgavenDeelGroep ON dbo.tblAankoopDetails.UitgavenDeelGroepID = dbo.tblUitgavenDeelGroep.UitgavenDeelGroepID WHERE dbo.tblAankoopDetails.Deleted = 0 and dbo.tblAankoopDetails.AankoopID = @AankoopID ORDER BY AankoopID if @@rowcount >0 begin set @ReturnValue=999 end else begin set @ReturnValue=997 end end if @Value >0 begin --Dit wil zeggen dat ik een gebruiker wil ingeven die reeds bestaat. (998) set @ReturnValue=998 end Does anyone know what I need to do to resolve this?

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  • Do complex JOINs cause high coupling and maintenance problems ?

    - by ashkan.kh.nazary
    Our project has ~40 tables with complex relations.A colleague believes in using long join queries which enforces me to learn about tables outside of my module but I think I should not concern about tables not directly related to my module and use data access functions (written by those responsible for other modules) when I need data from them. Let me clarify: I am responsible for the ContactVendor module which enables the customers to contact the vendor and start a conversation about some specific product. Products module has it's own complex tables and relations with functions that encapsulate details (for example i18n, activation, product availability etc ...). Now I need to show the product title of some product related to some conversation between the vendor and customers. I may either write a long query that retrieves the product info along with conversation stuff in one shot (which enforces me to learn about Product tables) OR I may pass the relevant product_id to the get_product_info(int) function. First approach is obviously demanding and introduces many bad practices and things I normally consider fault in programming. The problem with the second approach seems to be the countless mini queries these access functions cause and performance loss is a concern when a loop tries to fetch product titles for 100 products using functions that each perform a separate query. So I'm stuck between "don't code to the implementation, code to interface" and performance. What is the right way of doing things ? UPDATE: I'm specially concerned about possible future modifications to those tables outside of my module. What if the Products module decided to change the way they are doing things? or for some reason modify the schema? It means some other modules would break or malfunction until the change is integrated to them. The usual ripple effect problem.

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  • Does complex JOINs causes high coupling and maintenance problems ?

    - by ashkan.kh.nazary
    Our project has ~40 tables with complex relations.A colleague believes in using long join queries which enforces me to learn about tables outside of my module but I think I should not concern about tables not directly related to my module and use data access functions (written by those responsible for other modules) when I need data from them. Let me clarify: I am responsible for the ContactVendor module which enables the customers to contact the vendor and start a conversation about some specific product. Products module has it's own complex tables and relations with functions that encapsulate details (for example i18n, activation, product availability etc ...). Now I need to show the product title of some product related to some conversation between the vendor and customers. I may either write a long query that retrieves the product info along with conversation stuff in one shot (which enforces me to learn about Product tables) OR I may pass the relevant product_id to the get_product_info(int) function. First approach is obviously demanding and introduces many bad practices and things I normally consider fault in programming. The problem with the second approach seems to be the countless mini queries these access functions cause and performance loss is a concern when a loop tries to fetch product titles for 100 products using functions that each perform a separate query. So I'm stuck between "don't code to the implementation, code to interface" and performance. What is the right way of doing things ? UPDATE: I'm specially concerned about possible future modifications to those tables outside of my module. What if the Products module decided to change the way they are doing things? or for some reason modify the schema? It means some other modules would break or malfunction until the change is integrated to them. The usual ripple effect problem.

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  • How can I synchronise two datatables and update the target in the database?

    - by Craig
    I am trying to synchronise two tables between two databases. I thought that the best way to do this would be to use the DataTable.Merge method. This seems to pick up the changes, but nothing ever gets committed to the database. So far I have: string tableName = "[Table_1]"; string sql = "select * from " + tableName; using (SqlConnection sourceConn = new SqlConnection(ConfigurationManager.ConnectionStrings["source"].ConnectionString)) { SqlDataAdapter sourceAdapter = new SqlDataAdapter(); sourceAdapter.SelectCommand = new SqlCommand(sql, sourceConn); sourceConn.Open(); DataSet sourceDs = new DataSet(); sourceAdapter.Fill(sourceDs); using (SqlConnection targetConn = new SqlConnection(ConfigurationManager.ConnectionStrings["target"].ConnectionString)) { SqlDataAdapter targetAdapter = new SqlDataAdapter(); targetAdapter.SelectCommand = new SqlCommand(sql, targetConn); SqlCommandBuilder builder = new SqlCommandBuilder(targetAdapter); targetAdapter.InsertCommand = builder.GetInsertCommand(); targetAdapter.UpdateCommand = builder.GetUpdateCommand(); targetAdapter.DeleteCommand = builder.GetDeleteCommand(); targetConn.Open(); DataSet targetDs = new DataSet(); targetAdapter.Fill(targetDs); targetDs.Tables[0].TableName = tableName; sourceDs.Tables[0].TableName = tableName; targetDs.Tables[0].Merge(sourceDs.Tables[0]); targetAdapter.Update(targetDs.Tables[0]); } } At the present time, there is one row in the source that is not in the target. This row is never transferred. I have also tried it with an empty target, and nothing is transferred.

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  • VB dataset issue

    - by Gabriel
    Hi. The idea was to create a message box that stores my user name, message, and post datetime into the database as messages are sent. Soon came to realise, what if the user changed his name? So I decided to use the user id (icn) to identify the message poster instead. However, my chunk of codes keep giving me the same error. Says that there are no rows in the dataset ds2. I've tried my Query on my SQL and it works perfectly so I really really need help to spot the error in my chunk of codes here. Protected Sub Page_Load(ByVal sender As Object, ByVal e As System.EventArgs) Handles Me.Load Dim name As String Dim icn As String Dim message As String Dim time As String Dim tags As String = "" Dim strConn As System.Configuration.ConnectionStringSettings strConn = ConfigurationManager.ConnectionStrings("ufadb") Dim conn As SqlConnection = New SqlConnection(strConn.ToString()) Dim cmd As New SqlCommand("Select * From Message", conn) Dim daMessages As SqlDataAdapter = New SqlDataAdapter(cmd) Dim ds As New DataSet cmd.Connection.Open() daMessages.Fill(ds, "Messages") cmd.Connection.Close() If ds.Tables("Messages").Rows.Count > 0 Then Dim n As Integer = ds.Tables("Messages").Rows.Count Dim i As Integer For i = 0 To n - 1 icn = ds.Tables("Messages").Rows(i).Item("icn") Dim cmd2 As New SqlCommand("SELECT name FROM Member inner join Message ON Member.icn = Message.icn WHERE message.icn = @icn", conn) cmd2.Parameters.AddWithValue("@icn", icn) Dim daName As SqlDataAdapter = New SqlDataAdapter(cmd2) Dim ds2 As New DataSet cmd2.Connection.Open() daName.Fill(ds2, "PosterName") cmd2.Connection.Close() name = ds2.Tables("PosterName").Rows(0).Item("name") message = ds.Tables("Messages").Rows(i).Item("message") time = ds.Tables("Messages").Rows(i).Item("timePosted") tags = time + vbCrLf + name + ": " + vbCrLf + message + vbCrLf + tags Next txtBoard.Text = tags Else txtBoard.Text = "nothing to display" End If End Sub Help will be very much appreciated as I have been on this simple problem for 2 days.

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  • php and mysql listing databases and looping through results

    - by Jacksta
    Beginner help needed :) I am doign an example form a php book which lists tables in databases. I am getting an error on line 36: $db_list .= "$table_list"; <?php //connect to database $connection = mysql_connect("localhost", "admin_cantsayno", "cantsayno") or die(mysql_error()); //list databases $dbs = @mysql_list_dbs($connection) or die(mysql_error()); //start first bullet list $db_list = "<ul>"; $db_num = 0; //loop through results of functions while ($db_num < mysql_num_rows($dbs)) { //get database names and make each a list point $db_names[$db_num] = mysql_tablename($dbs, $db_num); $db_list .= "<li>$db_names[$db_num]"; //get table names and make another list $tables = @mysql_list_tables($db_names[$db_num]) or die(mysql_error()); $table_list = "<ul>"; $table_num = 0; //loop through results of function while ($table_num < mysql_num_rows($tables)){ //get table names and make each bullet point $table_names[$table_num] = mysql_tablename($tables, $table_num); $table_list .= "<li>$table_names[$table_num]"; $table_num++; } //close inner bullet list and increment number to continue $table_list .= "</ul>" $db_list .= "$table_list"; $db_num++; } //close outer bullet list $db_list .= "</ul>"; ?> <html> <head> <title>MySQL Tables</title> </head> <body> <p><strong>Data bases and tables on local host</strong></p> <? echo "$db_list"; ?> </body>

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  • Guid Primary /Foreign Key dilemma SQL Server

    - by Xience
    Hi guys, I am faced with the dilemma of changing my primary keys from int identities to Guid. I'll put my problem straight up. It's a typical Retail management app, with POS and back office functionality. Has about 100 tables. The database synchronizes with other databases and receives/ sends new data. Most tables don't have frequent inserts, updates or select statements executing on them. However, some do have frequent inserts and selects on them, eg. products and orders tables. Some tables have upto 4 foreign keys in them. If i changed my primary keys from 'int' to 'Guid', would there be a performance issue when inserting or querying data from tables that have many foreign keys. I know people have said that indexes will be fragmented and 16 bytes is an issue. Space wouldn't be an issue in my case and apparently index fragmentation can also be taken care of using 'NEWSEQUENTIALID()' function. Can someone tell me, from there experience, if Guid will be problematic in tables with many foreign keys. I'll be much appreciative of your thoughts on it...

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  • CSS Table Formatting to a HTML Table

    - by Rurigok
    I am attempting to provide CSS formating to two HTML tables, but I cannot. I am setting up a webpage in HTML & CSS (with the CSS in an external sheet) and the layout of the website depends on the tables. There are 2 tables, one for the head and another for the body. They are set up whereas content is situated in one middle column of 60% width, with one column on each side of the center with 20% width each, along with other table formatting. My question is - how can I format the tables in CSS? I successfully formatted them in HTML, but this will not do. This is the CSS code for the tables - each table has the id layouttable: #layouttable{border:0px;width:100%;} #layouttable td{width:20%;vertical-align:top;} #layouttable td{width:60%;vertical-align:top;background-color:#E8E8E8;} #layouttable td{width:20%;vertical-align:top;} The tables in the html document both each have, in respective order, these elements (with content inside not shown): <table id="layouttable"><tr><td></td><td></td><td></td></tr></table> Does anyone have any idea why this CSS is not working, or can write some code to fix it? If further explanation is needed, please, ask.

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  • Sql Compact and __sysobjects

    - by Scott Wisniewski
    I have some SQL Compact queries that create tables inside of transaction. This is mainly because I need to simulate temporary tables, which SQL Compact does not support. I do this by creating a real table, and then dropping it at the end of the transaction. This mostly works. Sometimes, however, when creating the tables Sql Compact will try to acquire PAGE level locks on the __sysobjects table. If there are several concurrent queries running that create "temp" tables, the attempt to acquire a page lock can result in a dead lock followed by a SqlLockTimeout exception. For normal tables I could fix this using a "with (rowlock)" hint. However, because I'm not writing the query to insert into __sysobjets (SQL server does that in response to "create table") I can't do this. Does anyone know of a way I could get around this? I've thought about pulling the table creation out of the transaction, but that opens up the possibility of phantom temporary tables that I'd then need to clean up regularly. Ideally I'd like to avoid that if possible.

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  • How to get an array to check in the in_array function? See description Below...

    - by Parth
    I am fetching the data using mysql_fetch_array like : while($row = mysql_fetch_array($select)) { $tables[] =$row; } Now i need this $tables array as one dimensional array only, so that i can use it in if(in_array($val['table_name'],$tables)) { //Some Code } to check for whether the $val['table_name'] is in the $tables or not.. As for now I am getting $tables array as Array ( [0] => Array ( [TABLE_NAME] => jos_audittrail ) [1] => Array ( [TABLE_NAME] => jos_banner ) [2] => Array ( [TABLE_NAME] => jos_bannerclient ) .. .. .. .. } But I need the $tables is form of.. Array ( [0] => jos_audittrail [TABLE_NAME] => jos_audittrail [1] => jos_banner [TABLE_NAME] => jos_banner [2] => jos_bannerclient [TABLE_NAME] => jos_bannerclient .. .. .. } How can i get the above array after applying "while loop" to "$row"?

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  • MySQL Config File for Large System

    - by Jonathon
    We are running MySQL on a Windows 2003 Server Enterpise Edition box. MySQL is about the only program running on the box. We have approx. 8 slaves replicated to it, but my understanding is that having multiple slaves connecting to the same master does not significantly slow down performance, if at all. The master server has 16G RAM, 10 Terabyte drives in RAID 10, and four dual-core processors. From what I have seen from other sites, we have a really robust machine as our master db server. We just upgraded from a machine with only 4G RAM, but with similar hard drives, RAID, etc. It also ran Apache on it, so it was our db server and our application server. It was getting a little slow, so we split the db server onto this new machine and kept the application server on the first machine. We also distributed the application load amongst a few of our other slave servers, which also run the application. The problem is the new db server has mysqld.exe consuming 95-100% of CPU almost all the time and is really causing the app to run slowly. I know we have several queries and table structures that could be better optimized, but since they worked okay on the older, smaller server, I assume that our my.ini (MySQL config) file is not properly configured. Most of what I see on the net is for setting config files on small machines, so can anyone help me get the my.ini file correct for a large dedicated machine like ours? I just don't see how mysqld could get so bogged down! FYI: We have about 100 queries per second. We only use MyISAM tables, so skip-innodb is set in the ini file. And yes, I know it is reading the ini file correctly because I can change some settings (like the server-id and it will kill the server at startup). Here is the my.ini file: #MySQL Server Instance Configuration File # ---------------------------------------------------------------------- # Generated by the MySQL Server Instance Configuration Wizard # # # Installation Instructions # ---------------------------------------------------------------------- # # On Linux you can copy this file to /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options # (@localstatedir@ for this installation) or to # ~/.my.cnf to set user-specific options. # # On Windows you should keep this file in the installation directory # of your server (e.g. C:\Program Files\MySQL\MySQL Server X.Y). To # make sure the server reads the config file use the startup option # "--defaults-file". # # To run run the server from the command line, execute this in a # command line shell, e.g. # mysqld --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # To install the server as a Windows service manually, execute this in a # command line shell, e.g. # mysqld --install MySQLXY --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # And then execute this in a command line shell to start the server, e.g. # net start MySQLXY # # # Guildlines for editing this file # ---------------------------------------------------------------------- # # In this file, you can use all long options that the program supports. # If you want to know the options a program supports, start the program # with the "--help" option. # # More detailed information about the individual options can also be # found in the manual. # # # CLIENT SECTION # ---------------------------------------------------------------------- # # The following options will be read by MySQL client applications. # Note that only client applications shipped by MySQL are guaranteed # to read this section. If you want your own MySQL client program to # honor these values, you need to specify it as an option during the # MySQL client library initialization. # [client] port=3306 [mysql] default-character-set=latin1 # SERVER SECTION # ---------------------------------------------------------------------- # # The following options will be read by the MySQL Server. Make sure that # you have installed the server correctly (see above) so it reads this # file. # [mysqld] # The TCP/IP Port the MySQL Server will listen on port=3306 #Path to installation directory. All paths are usually resolved relative to this. basedir="D:/MySQL/" #Path to the database root datadir="D:/MySQL/data" # The default character set that will be used when a new schema or table is # created and no character set is defined default-character-set=latin1 # The default storage engine that will be used when create new tables when default-storage-engine=MYISAM # Set the SQL mode to strict #sql-mode="STRICT_TRANS_TABLES,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION" # we changed this because there are a couple of queries that can get blocked otherwise sql-mode="" #performance configs skip-locking max_allowed_packet = 1M table_open_cache = 512 # The maximum amount of concurrent sessions the MySQL server will # allow. One of these connections will be reserved for a user with # SUPER privileges to allow the administrator to login even if the # connection limit has been reached. max_connections=1510 # Query cache is used to cache SELECT results and later return them # without actual executing the same query once again. Having the query # cache enabled may result in significant speed improvements, if your # have a lot of identical queries and rarely changing tables. See the # "Qcache_lowmem_prunes" status variable to check if the current value # is high enough for your load. # Note: In case your tables change very often or if your queries are # textually different every time, the query cache may result in a # slowdown instead of a performance improvement. query_cache_size=168M # The number of open tables for all threads. Increasing this value # increases the number of file descriptors that mysqld requires. # Therefore you have to make sure to set the amount of open files # allowed to at least 4096 in the variable "open-files-limit" in # section [mysqld_safe] table_cache=3020 # Maximum size for internal (in-memory) temporary tables. If a table # grows larger than this value, it is automatically converted to disk # based table This limitation is for a single table. There can be many # of them. tmp_table_size=30M # How many threads we should keep in a cache for reuse. When a client # disconnects, the client's threads are put in the cache if there aren't # more than thread_cache_size threads from before. This greatly reduces # the amount of thread creations needed if you have a lot of new # connections. (Normally this doesn't give a notable performance # improvement if you have a good thread implementation.) thread_cache_size=64 #*** MyISAM Specific options # The maximum size of the temporary file MySQL is allowed to use while # recreating the index (during REPAIR, ALTER TABLE or LOAD DATA INFILE. # If the file-size would be bigger than this, the index will be created # through the key cache (which is slower). myisam_max_sort_file_size=100G # If the temporary file used for fast index creation would be bigger # than using the key cache by the amount specified here, then prefer the # key cache method. This is mainly used to force long character keys in # large tables to use the slower key cache method to create the index. myisam_sort_buffer_size=64M # Size of the Key Buffer, used to cache index blocks for MyISAM tables. # Do not set it larger than 30% of your available memory, as some memory # is also required by the OS to cache rows. Even if you're not using # MyISAM tables, you should still set it to 8-64M as it will also be # used for internal temporary disk tables. key_buffer_size=3072M # Size of the buffer used for doing full table scans of MyISAM tables. # Allocated per thread, if a full scan is needed. read_buffer_size=2M read_rnd_buffer_size=8M # This buffer is allocated when MySQL needs to rebuild the index in # REPAIR, OPTIMZE, ALTER table statements as well as in LOAD DATA INFILE # into an empty table. It is allocated per thread so be careful with # large settings. sort_buffer_size=2M #*** INNODB Specific options *** innodb_data_home_dir="D:/MySQL InnoDB Datafiles/" # Use this option if you have a MySQL server with InnoDB support enabled # but you do not plan to use it. This will save memory and disk space # and speed up some things. skip-innodb # Additional memory pool that is used by InnoDB to store metadata # information. If InnoDB requires more memory for this purpose it will # start to allocate it from the OS. As this is fast enough on most # recent operating systems, you normally do not need to change this # value. SHOW INNODB STATUS will display the current amount used. innodb_additional_mem_pool_size=11M # If set to 1, InnoDB will flush (fsync) the transaction logs to the # disk at each commit, which offers full ACID behavior. If you are # willing to compromise this safety, and you are running small # transactions, you may set this to 0 or 2 to reduce disk I/O to the # logs. Value 0 means that the log is only written to the log file and # the log file flushed to disk approximately once per second. Value 2 # means the log is written to the log file at each commit, but the log # file is only flushed to disk approximately once per second. innodb_flush_log_at_trx_commit=1 # The size of the buffer InnoDB uses for buffering log data. As soon as # it is full, InnoDB will have to flush it to disk. As it is flushed # once per second anyway, it does not make sense to have it very large # (even with long transactions). innodb_log_buffer_size=6M # InnoDB, unlike MyISAM, uses a buffer pool to cache both indexes and # row data. The bigger you set this the less disk I/O is needed to # access data in tables. On a dedicated database server you may set this # parameter up to 80% of the machine physical memory size. Do not set it # too large, though, because competition of the physical memory may # cause paging in the operating system. Note that on 32bit systems you # might be limited to 2-3.5G of user level memory per process, so do not # set it too high. innodb_buffer_pool_size=500M # Size of each log file in a log group. You should set the combined size # of log files to about 25%-100% of your buffer pool size to avoid # unneeded buffer pool flush activity on log file overwrite. However, # note that a larger logfile size will increase the time needed for the # recovery process. innodb_log_file_size=100M # Number of threads allowed inside the InnoDB kernel. The optimal value # depends highly on the application, hardware as well as the OS # scheduler properties. A too high value may lead to thread thrashing. innodb_thread_concurrency=10 #replication settings (this is the master) log-bin=log server-id = 1 Thanks for all the help. It is greatly appreciated.

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  • Can I split a single SQL 2008 DB Table into multiple filegroups, based on a discriminator column?

    - by Pure.Krome
    Hi folks, I've got a SQL Server 2008 R2 database which has a number of tables. Two of these tables contains a lot of large data .. mainly because one of them is VARBINARY(MAX) and the sister table is GEOGRAPHY. (Why two tables? Read Below if you're interested***) The data in these tables are geospatial shapes, such as zipcode boundaries. Now, the first 70K odd rows are for DataType = 1 the rest 5mil rows are for DataType = 2 Now, is it possible to split the table data into two files? so all rows that are for DataType != 2 goes into File_A and DataType = 2 goes into File_B? This way, when I backup the DB, I can skip adding File_B so my download is waaaaay smaller? Is this possible? I guessing you might be thinking - why not keep them as TWO extra tables? Mainly because in the code, the data is conceptually the same .. it's just happens that I want to split the storage of this model data. It really messes up my model if I now how two aggregates in my model, instead of one. ***Entity Framework doesn't like Tables with GEOGRAPHY, so i have to create a new table which transforms the GEOGRAPHY to VARBINARY, and then drop that into EF.

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  • SQL inner join from field defined table?

    - by Wolftousen
    I have a, currently, a total of 6 tables that are part of this question. The primary table, tableA, contains columns that all the entries in the other 5 tables have in common. The other 5 tables have columns which define the entry in tableA in more detail. For example: TableA ID|Name|Volumn|Weight|Description 0 |T1 |0.4 |0.1 |Random text 1 |R1 |5.3 |25 |Random text TableB ID|Color|Shape 0 |Blue |Sphere TableC ID|Direction|Velocity 1 |North |3.4 (column names are just examples don't take them for what they mean...) The ID field in Table A is unique to all other tables (i.e. TableB will have 0, but TableC will not, nor any other Tables). What I would like to do is select all the fields from TableA and the corresponding (according to ID field) detail Table (TableB-F). What I have currently done and not tested is added a field to TableA so it looks like this: TableA ID|Name|Volumn|Weight|Description|Table 0 |T1 |0.4 |0.1 |Random text|TableB 1 |R1 |5.3 |25 |Random text|TableC I have a few questions about this: 1.Is it proper to do such a thing to TableA, as foreign keys wont work in this situation since they all need to link to different tables? 2.If this is proper, would the SQL query look like this (ID would be input by the user)? SELECT * FROM TableA AS a INNER JOIN a.Table AS t ON a.ID = ID; 3.Is there a better way to do this? Thanks for the help.

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  • DB Strategy for inserting into a high read table (Sql Server)

    - by Tom
    Looking for strategies for a very large table with data maintained for reporting and historical purposes, a very small subset of that data is used in daily operations. Background: We have Visitor and Visits tables which are continuously updated by our consumer facing site. These tables contain information on every visit and visitor, including bots and crawlers, direct traffic that does not result in a conversion, etc. Our back end site allows management of the visitor's (leads) from the front end site. Most of the management occurs on a small subset of our visitors (visitors that become leads). The vast majority of the data in our visitor and visit tables is maintained only for a much smaller subset of user activity (basically reporting type functionality). This is NOT an indexing problem, we have done all we can with indexing and keeping our indexes clean, small, and not fragmented. ps: We do not currently have the budget or expertise for a data warehouse. The problem: We would like the system to be more responsive to our end users when they are querying, for instance, the list of their assigned leads. Currently the query is against a huge data set of mostly irrelevant data. I am pondering a few ideas. One involves new tables and a fairly major re-architecture, I'm not asking for help on that. The other involves creating redundant data, (for instance a Visitor_Archive and a Visitor_Small table) where the larger visitor and visit tables exist for inserts and history/reporting, the smaller visitor1 table would exist for managing leads, sending lead an email, need leads phone number, need my list of leads, etc.. The reason I am reaching out is that I would love opinions on the best way to keep the Visitor_Archive and the Visitor_Small tables in sync... Replication? Can I use replication to replicate only data with a certain column value (FooID = x) Any other strategies?

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