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  • I'm using spring, hibernate and mysql. How can I let my app create the table automatically.

    - by Yousui
    Hi guys, I'm using spring, all my annotated entity class information are put in the ApplicationContext.xml. I'm using a MySql database, now how can I use the SchemaExport function in hibernate to create the tables? My application can't create the table automatically, though i have set <prop key="hbm2ddl.auto">create</prop>. This is my ApplicationContext.xml: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:context="http://www.springframework.org/schema/context" xmlns:jdbc="http://www.springframework.org/schema/jdbc" xmlns:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.0.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd http://www.springframework.org/schema/jdbc http://www.springframework.org/schema/jdbc/spring-jdbc-3.0.xsd http://www.springframework.org/schema/jee http://www.springframework.org/schema/jee/spring-jee-3.0.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd"> <bean id="dataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource"> <property name="driverClassName" value="com.mysql.jdbc.Driver" /> <property name="url" value="jdbc:mysql:///edde" /> <property name="username" value="root" /> <property name="password" value="" /> </bean> <bean id="sessionFactory" class="org.springframework.orm.hibernate3.annotation.AnnotationSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="annotatedClasses"> <list> <value>com.edde.Book</value> </list> </property> <property name="hibernateProperties"> <props> <prop key="current_session_context_class">thread</prop> <prop key="show_sql">true</prop> <prop key="hbm2ddl.auto">create</prop> <prop key="hibernate.show_sql">true</prop> <prop key="hibernate.use_sql_comments">true</prop> <prop key="hibernate.format_sql">true</prop> </props> </property> </bean> <bean id="transactionManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="sessionFactory" /> </bean> <tx:annotation-driven transaction-manager="transactionManager" /> <bean id="bookDao" class="com.edde.BookDao"> <property name="sessionFactory" ref="sessionFactory"></property> </bean> <bean id="bookService" class="com.edde.BookServiceImpl"> <property name="dao" ref="bookDao"></property> </bean> </beans> This is my test application: package com.edde; import org.springframework.context.support.ClassPathXmlApplicationContext; public class Test { /** * @param args */ public static void main(String[] args) { ClassPathXmlApplicationContext factory = new ClassPathXmlApplicationContext("applicationContext.xml"); BookService service = (BookService) factory.getBean("bookService"); Book book = new Book(); book.setBookName("great book"); service.saveBook(book); } } When I run my app, I get this error: 2010-05-20 17:25:20,777 DEBUG [org.hibernate.SQL] - /* insert com.edde.Book */ insert into Book (author, bookName, publication) values (?, ?, ?) Hibernate: /* insert com.edde.Book */ insert into Book (author, bookName, publication) values (?, ?, ?) 2010-05-20 17:25:20,809 DEBUG [org.hibernate.jdbc.AbstractBatcher] - about to close PreparedStatement (open PreparedStatements: 1, globally: 1) 2010-05-20 17:25:20,809 DEBUG [org.hibernate.util.JDBCExceptionReporter] - could not insert: [com.edde.Book] [/* insert com.edde.Book */ insert into Book (author, bookName, publication) values (?, ?, ?)] com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'edde.book' doesn't exist at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27) at java.lang.reflect.Constructor.newInstance(Constructor.java:513) at com.mysql.jdbc.Util.handleNewInstance(Util.java:409) at com.mysql.jdbc.Util.getInstance(Util.java:384) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:1054) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3562) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3494) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1960) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2114) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2696) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2105) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2398) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2316) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2301) at org.hibernate.id.IdentityGenerator$GetGeneratedKeysDelegate.executeAndExtract(IdentityGenerator.java:94) at org.hibernate.id.insert.AbstractReturningDelegate.performInsert(AbstractReturningDelegate.java:57) at org.hibernate.persister.entity.AbstractEntityPersister.insert(AbstractEntityPersister.java:2329) at org.hibernate.persister.entity.AbstractEntityPersister.insert(AbstractEntityPersister.java:2836) at org.hibernate.action.EntityIdentityInsertAction.execute(EntityIdentityInsertAction.java:71) at org.hibernate.engine.ActionQueue.execute(ActionQueue.java:268) at org.hibernate.event.def.AbstractSaveEventListener.performSaveOrReplicate(AbstractSaveEventListener.java:321) at org.hibernate.event.def.AbstractSaveEventListener.performSave(AbstractSaveEventListener.java:204) at org.hibernate.event.def.AbstractSaveEventListener.saveWithGeneratedId(AbstractSaveEventListener.java:130) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.saveWithGeneratedOrRequestedId(DefaultSaveOrUpdateEventListener.java:210) at org.hibernate.event.def.DefaultSaveEventListener.saveWithGeneratedOrRequestedId(DefaultSaveEventListener.java:56) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.entityIsTransient(DefaultSaveOrUpdateEventListener.java:195) at org.hibernate.event.def.DefaultSaveEventListener.performSaveOrUpdate(DefaultSaveEventListener.java:50) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.onSaveOrUpdate(DefaultSaveOrUpdateEventListener.java:93) at org.hibernate.impl.SessionImpl.fireSave(SessionImpl.java:705) at org.hibernate.impl.SessionImpl.save(SessionImpl.java:693) at org.hibernate.impl.SessionImpl.save(SessionImpl.java:689) at org.springframework.orm.hibernate3.HibernateTemplate$12.doInHibernate(HibernateTemplate.java:686) at org.springframework.orm.hibernate3.HibernateTemplate$12.doInHibernate(HibernateTemplate.java:1) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:406) at org.springframework.orm.hibernate3.HibernateTemplate.executeWithNativeSession(HibernateTemplate.java:374) at org.springframework.orm.hibernate3.HibernateTemplate.save(HibernateTemplate.java:683) at com.edde.BookDao.insertBook(BookDao.java:18) at com.edde.BookServiceImpl.saveBook(BookServiceImpl.java:34) at com.edde.Test.main(Test.java:17) 2010-05-20 17:25:20,809 WARN [org.hibernate.util.JDBCExceptionReporter] - SQL Error: 1146, SQLState: 42S02 2010-05-20 17:25:20,809 ERROR [org.hibernate.util.JDBCExceptionReporter] - Table 'edde.book' doesn't exist 2010-05-20 17:25:20,809 DEBUG [org.springframework.orm.hibernate3.SessionFactoryUtils] - Closing Hibernate Session 2010-05-20 17:25:20,809 DEBUG [org.hibernate.jdbc.ConnectionManager] - releasing JDBC connection [ (open PreparedStatements: 0, globally: 0) (open ResultSets: 0, globally: 0)] 2010-05-20 17:25:20,809 DEBUG [org.hibernate.jdbc.ConnectionManager] - transaction completed on session with on_close connection release mode; be sure to close the session to release JDBC resources! Exception in thread "main" org.springframework.dao.InvalidDataAccessResourceUsageException: could not insert: [com.edde.Book]; SQL [/* insert com.edde.Book */ insert into Book (author, bookName, publication) values (?, ?, ?)]; nested exception is org.hibernate.exception.SQLGrammarException: could not insert: [com.edde.Book] at org.springframework.orm.hibernate3.SessionFactoryUtils.convertHibernateAccessException(SessionFactoryUtils.java:629) at org.springframework.orm.hibernate3.HibernateAccessor.convertHibernateAccessException(HibernateAccessor.java:412) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:411) at org.springframework.orm.hibernate3.HibernateTemplate.executeWithNativeSession(HibernateTemplate.java:374) at org.springframework.orm.hibernate3.HibernateTemplate.save(HibernateTemplate.java:683) at com.edde.BookDao.insertBook(BookDao.java:18) at com.edde.BookServiceImpl.saveBook(BookServiceImpl.java:34) at com.edde.Test.main(Test.java:17) Caused by: org.hibernate.exception.SQLGrammarException: could not insert: [com.edde.Book] at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:92) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66) at org.hibernate.id.insert.AbstractReturningDelegate.performInsert(AbstractReturningDelegate.java:64) at org.hibernate.persister.entity.AbstractEntityPersister.insert(AbstractEntityPersister.java:2329) at org.hibernate.persister.entity.AbstractEntityPersister.insert(AbstractEntityPersister.java:2836) at org.hibernate.action.EntityIdentityInsertAction.execute(EntityIdentityInsertAction.java:71) at org.hibernate.engine.ActionQueue.execute(ActionQueue.java:268) at org.hibernate.event.def.AbstractSaveEventListener.performSaveOrReplicate(AbstractSaveEventListener.java:321) at org.hibernate.event.def.AbstractSaveEventListener.performSave(AbstractSaveEventListener.java:204) at org.hibernate.event.def.AbstractSaveEventListener.saveWithGeneratedId(AbstractSaveEventListener.java:130) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.saveWithGeneratedOrRequestedId(DefaultSaveOrUpdateEventListener.java:210) at org.hibernate.event.def.DefaultSaveEventListener.saveWithGeneratedOrRequestedId(DefaultSaveEventListener.java:56) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.entityIsTransient(DefaultSaveOrUpdateEventListener.java:195) at org.hibernate.event.def.DefaultSaveEventListener.performSaveOrUpdate(DefaultSaveEventListener.java:50) at org.hibernate.event.def.DefaultSaveOrUpdateEventListener.onSaveOrUpdate(DefaultSaveOrUpdateEventListener.java:93) at org.hibernate.impl.SessionImpl.fireSave(SessionImpl.java:705) at org.hibernate.impl.SessionImpl.save(SessionImpl.java:693) at org.hibernate.impl.SessionImpl.save(SessionImpl.java:689) at org.springframework.orm.hibernate3.HibernateTemplate$12.doInHibernate(HibernateTemplate.java:686) at org.springframework.orm.hibernate3.HibernateTemplate$12.doInHibernate(HibernateTemplate.java:1) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:406) ... 5 more Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'edde.book' doesn't exist at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27) at java.lang.reflect.Constructor.newInstance(Constructor.java:513) at com.mysql.jdbc.Util.handleNewInstance(Util.java:409) at com.mysql.jdbc.Util.getInstance(Util.java:384) at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:1054) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3562) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3494) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1960) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2114) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2696) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2105) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2398) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2316) at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2301) at org.hibernate.id.IdentityGenerator$GetGeneratedKeysDelegate.executeAndExtract(IdentityGenerator.java:94) at org.hibernate.id.insert.AbstractReturningDelegate.performInsert(AbstractReturningDelegate.java:57) ... 23 more Now my question is: how to create the table automatically? Thanks.

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  • Social Analytics in your current data

    - by Dan McGrath
    By now everyone is aware of the massive boom in social-networking (Twitter, Facebook, LinkedIn) and obviously a big part of its business model revolves around being able to mine this data to create information that can be used to make money for someone. Gartner has identified 'Social Analytics' as one of the top 10 strategic technologies for 2011. Has anyone looked at their existing data structures to determine if they could extract a social graph and then perform further data mining against this? How does it fit in with your other strategic development strategies? What information are you trying to extract from the data? Take for example, a bank. They could conceivably determine a social graph through account relationships and transactions. Obviously there would be open edges on the graph where funds enter/leave the institute, but that shouldn't detract from the usefulness of the data. I'm looking for actual examples with the answers, as well as why/how they did it. References to other sites will be greatly appreciated. Note: I'm not at all referring to mining data out of actual social networks.

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  • The Oldest Big Data Problem: Parsing Human Language

    - by dan.mcclary
    There's a new whitepaper up on Oracle Technology Network which details the use of Digital Reasoning Systems' Synthesys software on Oracle Big Data Appliance.  Digital Reasoning's approach is inherently "big data friendly," as it leverages multiple components of the Hadoop ecosystem.  Moreover, the paper addresses the oldest big data problem of them all: extracting knowledge from human text.   You can find the paper here.   From the Executive Summary: There is a wealth of information to be extracted from natural language, but that extraction is challenging. The volume of human language we generate constitutes a natural Big Data problem, while its complexity and nuance requires a particular expertise to model and mine. In this paper we illustrate the impressive combination of Oracle Big Data Appliance and Digital Reasoning Synthesys software. The combination of Synthesys and Big Data Appliance makes it possible to analyze tens of millions of documents in a matter of hours. Moreover, this powerful combination achieves four times greater throughput than conducting the equivalent analysis on a much larger cloud-deployed Hadoop cluster.

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  • MySQL 1064 error, works in command line and phpMyAdmin; not in app

    - by hundleyj
    Here is my query: select * from (select *, 3956 * 2 * ASIN(SQRT(POWER(SIN(RADIANS(45.5200077 - lat)/ 2), 2) + COS(RADIANS(45.5200077)) * COS(RADIANS(lat)) * POWER(SIN(RADIANS(-122.6942014 - lng)/2),2))) AS distance from stops order by distance, route asc) as p group by route, dir order by distance asc limit 10 This works fine at the command line and in PHPMyAdmin. I'm using Dbslayer to connect to MySQL via my JavaScript backend, and the request is returning a 1064 error. Here is the encoded DBSlayer request string: http://localhost:9090/db?{%22SQL%22:%22select%20*%20from%20%28select%20*,%203956%20*%202%20*%20ASIN%28SQRT%28POWER%28SIN%28RADIANS%2845.5200077%20-%20lat%29/%202%29,%202%29%20+%20COS%28RADIANS%2845.5200077%29%29%20*%20COS%28RADIANS%28lat%29%29%20*%20POWER%28SIN%28RADIANS%28-122.6942014%20-%20lng%29/2%29,2%29%29%29%20AS%20distance%20from%20%60stops%60%20order%20by%20%60distance%60,%20%60route%60%20asc%29%20as%20p%20group%20by%20%60route%60,%20%60dir%60%20order%20by%20%60distance%60%20asc%20limit%2010%22} And the response: {"MYSQL_ERRNO" : 1064 , "MYSQL_ERROR" : "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '(RADIANS(45.5200077)) * COS(RADIANS(lat)) * POWER(SIN(RADIANS(-122.6942014 - lng' at line 1" , "SERVER" : "trimet"} Thanks!

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  • Uses of persistent data structures in non-functional languages

    - by Ray Toal
    Languages that are purely functional or near-purely functional benefit from persistent data structures because they are immutable and fit well with the stateless style of functional programming. But from time to time we see libraries of persistent data structures for (state-based, OOP) languages like Java. A claim often heard in favor of persistent data structures is that because they are immutable, they are thread-safe. However, the reason that persistent data structures are thread-safe is that if one thread were to "add" an element to a persistent collection, the operation returns a new collection like the original but with the element added. Other threads therefore see the original collection. The two collections share a lot of internal state, of course -- that's why these persistent structures are efficient. But since different threads see different states of data, it would seem that persistent data structures are not in themselves sufficient to handle scenarios where one thread makes a change that is visible to other threads. For this, it seems we must use devices such as atoms, references, software transactional memory, or even classic locks and synchronization mechanisms. Why then, is the immutability of PDSs touted as something beneficial for "thread safety"? Are there any real examples where PDSs help in synchronization, or solving concurrency problems? Or are PDSs simply a way to provide a stateless interface to an object in support of a functional programming style?

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  • How to combine two rows and calculate the time difference between two timestamp values in MySQL?

    - by Nadar
    I have a situation that I'm sure is quite common and it's really bothering me that I can't figure out how to do it or what to search for to find a relevant example/solution. I'm relatively new to MySQL (have been using MSSQL and PostgreSQL earlier) and every approach I can think of is blocked by some feature lacking in MySQL. I have a "log" table that simply lists many different events with their timestamp (stored as datetime type). There's lots of data and columns in the table not relevant to this problem, so lets say we have a simple table like this: CREATE TABLE log ( id INT NOT NULL AUTO_INCREMENT, name VARCHAR(16), ts DATETIME NOT NULL, eventtype VARCHAR(25), PRIMARY KEY (id) ) Let's say that some rows have an eventtype = 'start' and others have an eventtype = 'stop'. What I want to do is to somehow couple each "startrow" with each "stoprow" and find the time difference between the two (and then sum the durations per each name, but that's not where the problem lies). Each "start" event should have a corresponding "stop" event occuring at some stage later then the "start" event, but because of problems/bugs/crashed with the data collector it could be that some are missing. In that case I would like to disregard the event without a "partner". That means that given the data: foo, 2010-06-10 19:45, start foo, 2010-06-10 19:47, start foo, 2010-06-10 20:13, stop ..I would like to just disregard the 19:45 start event and not just get two result rows both using the 20:13 stop event as the stop time. I've tried to join the table with itself in different ways, but the key problems for me seems to be to find a way to correctly identify the corresponding "stop" event to the "start" event for the given "name". The problem is exactly the same as you would have if you had table with employees stamping in and out of work and wanted to find out how much they actually were at work. I'm sure there must be well known solutions to this, but I can't seem to find them...

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  • Translate report data export from RUEI into HTML for import into OpenOffice Calc Spreadsheets

    - by [email protected]
    A common question of users is, How to import the data from the automated data export of Real User Experience Insight (RUEI) into tools for archiving, dashboarding or combination with other sets of data.XML is well-suited for such a translation via the companion Extensible Stylesheet Language Transformations (XSLT). Basically XSLT utilizes XSL, a template on what to read from your input XML data file and where to place it into the target document. The target document can be anything you like, i.e. XHTML, CSV, or even a OpenOffice Spreadsheet, etc. as long as it is a plain text format.XML 2 OpenOffice.org SpreadsheetFor the XSLT to work as an OpenOffice.org Calc Import Filter:How to add an XML Import Filter to OpenOffice CalcStart OpenOffice.org Calc andselect Tools > XML Filter SettingsNew...Fill in the details as follows:Filter name: RUEI Import filterApplication: OpenOffice.org Calc (.ods)Name of file type: Oracle Real User Experience InsightFile extension: xmlSwitch to the transformation tab and enter/select the following leaving the rest untouchedXSLT for import: ruei_report_data_import_filter.xslPlease see at the end of this blog post for a download of the referenced file.Select RUEI Import filter from list and Test XSLTClick on Browse to selectTransform file: export.php.xmlOpenOffice.org Calc will transform and load the XML file you retrieved from RUEI in a human-readable format.You can now select File > Open... and change the filetype to open your RUEI exports directly in OpenOffice.org Calc, just like any other a native Spreadsheet format.Files of type: Oracle Real User Experience Insight (*.xml)File name: export.php.xml XML 2 XHTMLMost XML-powered browsers provides for inherent XSL Transformation capabilities, you only have to reference the XSLT Stylesheet in the head of your XML file. Then open the file in your favourite Web Browser, Firefox, Opera, Safari or Internet Explorer alike.<?xml version="1.0" encoding="ISO-8859-1"?><!-- inserted line below --> <?xml-stylesheet type="text/xsl" href="ruei_report_data_export_2_xhtml.xsl"?><!-- inserted line above --><report>You can find a patched example export from RUEI plus the above referenced XSL-Stylesheets here: export.php.xml - Example report data export from RUEI ruei_report_data_export_2_xhtml.xsl - RUEI to XHTML XSL Transformation Stylesheetruei_report_data_import_filter.xsl - OpenOffice.org XML import filter for RUEI report export data If you would like to do things like this on the command line you can use either Xalan or xsltproc.The basic command syntax for xsltproc is very simple:xsltproc -o output.file stylesheet.xslt inputfile.xmlYou can use this with the above two stylesheets to translate RUEI Data Exports into XHTML and/or OpenOffice.org Calc ODS-Format. Or you could write your own XSLT to transform into Comma separated Value lists.Please let me know what you think or do with this information in the comments below.Kind regards,Stefan ThiemeReferences used:OpenOffice XML Filter - Create XSLT filters for import and export - http://user.services.openoffice.org/en/forum/viewtopic.php?f=45&t=3490SUN OpenOffice.org XML File Format 1.0 - http://xml.openoffice.org/xml_specification.pdf

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  • MySQL Connector/Net 6.8.0 alpha has been released

    - by Roberto Garcia
    Dear MySQL users, MySQL Connector/Net 6.8.0, a new version of the all-managed .NET driver for MySQL has been released. This is an alpha release for 6.8.x and it's not recommended for production environments.It is appropriate for use with MySQL server versions 5.0-5.6 It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.8.0 version of MySQL Connector/Net has support for Entity Framework 6.0 including: - Async Query and Save- Code-Based Configuration- Dependency Resolution- DbSet.AddRange/RemoveRange- Code First Mapping to Insert/Update/Delete Stored Procedures - Configurable Migrations History Table- DbContext can now be created with a DbConnection that is already opened- Custom Code First Conventions The release is available to download at http://dev.mysql.com/downloads/connector/net/#downloads Documentation-------------------------------------You can view current Connector/Net documentation at http://dev.mysql.com/doc/refman/5.6/en/connector-net.html You can find our team blog at http://blogs.oracle.com/MySQLOnWindows You can also post questions on our forums at http://forums.mysql.com/ Enjoy and thanks for the support! Connector/NET Team

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  • New MySQL 5.6 Developer Certification and Training

    - by Breanne Cooley
    For those of you who work with MySQL, we've got some great news for you! A wide range of Oracle MySQL teams, including training, engineering, sales consulting and members of MySQL Support, collected content for the new MySQL 5.6 Developer Certification exam. These team members assist developers and DBAs with MySQL questions on a daily basis. They understand what developers need to know to successfully develop applications against MySQL Server 5.6. The MySQL 5.6 Developer Certification Exam details are listed here.  Naturally, this certification process covers the same ground as Oracle's MySQL Training for Developers course, making it ideal for reviewing topics to help you pass the exam. More importantly, you will learn how to develop successful applications that use MySQL Server 5.6 as a data store.  -Diana Gray, Principal Curriculum Project Manager, Oracle University

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  • Data Auditor by Example

    - by Jinjin.Wang
    OWB has a node Data Auditors under Oracle Module in Projects Navigator. What is data auditor and how to use it? I will give an introduction to data auditor and show its usage by examples. Data auditor is an important tool in ensuring that data quality levels meet business requirements. Data auditor validates data against a set of data rules to determine which records comply and which do not. It gathers statistical metrics on how well the data in a system complies with a rule by auditing and marking how many errors are occurring against the audited table. Data auditors are typically scheduled for regular execution as part of a process flow, to monitor the quality of the data in an operational environment such as a data warehouse or ERP system, either immediately after updates like data loads, or at regular intervals. How to use data auditor to monitor data quality? Only objects with data rules can be monitored, so the first step is to define data rules according to business requirements and apply them to the objects you want to monitor. The objects can be tables, views, materialized views, and external tables. Secondly create a data auditor containing the objects. You can configure the data auditor and set physical deployment parameters for it as optional, which will be used while running the data auditor. Then deploy and run the data auditor either manually or as part of the process flow. After execution, the data auditor sets several output values, and records that are identified as not complying with the defined data rules contained in the data auditor are written to error tables. Here is an example. We have two tables DEPARTMENTS and EMPLOYEES (see pic-1 and pic-2. Click here for DDL and data) imported into OWB. We want to gather statistical metrics on how well data in these two tables satisfies the following requirements: a. Values of the EMPLOYEES.EMPLOYEE_ID attribute are three-digit numbers. b. Valid values for EMPLOYEES.JOB_ID are IT_PROG, SA_REP, SH_CLERK, PU_CLERK, and ST_CLERK. c. EMPLOYEES.EMPLOYEE_ID is related to DEPARTMENTS.MANAGER_ID. Pic-1 EMPLOYEES Pic-2 DEPARTMENTS 1. To determine legal data within EMPLOYEES or legal relationships between data in different columns of the two tables, firstly we define data rules based on the three requirements and apply them to tables. a. The first requirement is about patterns that an attribute is allowed to conform to. We create a Domain Pattern List data rule EMPLOYEE_PATTERN_RULE here. The pattern is defined in the Oracle Database regular expression syntax as ^([0-9]{3})$ Apply data rule EMPLOYEE_PATTERN_RULE to table EMPLOYEES.

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  • Using Truecrypt to secure mySQL database, any pitfalls?

    - by Saul
    The objective is to secure my database data from server theft, i.e. the server is at a business office location with normal premises lock and burglar alarm, but because the data is personal healthcare data I want to ensure that if the server was stolen the data would be unavailable as encrypted. I'm exploring installing mySQL on a mounted Truecrypt encrypted volume. It all works fine, and when I power off, or just cruelly pull the plug the encrypted drive disappears. This seems a load easier than encrypting data to the database, and I understand that if there is a security hole in the web app , or a user gets physical access to a plugged in server the data is compromised, but as a sanity check , is there any good reason not to do this? @James I'm thinking in a theft scenario, its not going to be powered down nicely and so is likely to crash any DB transactions running. But then if someone steals the server I'm going to need to rely on my off site backup anyway. @tomjedrz, its kind of all sensitive, individual personal and address details linked to medical referrals/records. Would be as bad in our field as losing credit card data, but means that almost everything in the database would need encryption... so figured better to run the whole DB in an encrypted partition. If encrypt data in the tables there's got to be a key somewhere on the server I'm presuming, which seems more of a risk if the box walks. At the moment the app is configured to drop a dump of data (weekly full and then deltas only hourly using rdiff) into a directory also on the Truecrypt disk. I have an off site box running WS_FTP Pro scheduled to connect by FTPs and synch down the backup, again into a Truecrypt mounted partition.

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  • MySQL : table organisation for very large sets with high update frequency

    - by Remiz
    I'm facing a dilemma in the choice of my MySQL schema application. So before I start here is a picture extremely simplified of my database : Schema here : http://i43.tinypic.com/2wp5lxz.png In one sentence : for each customer, the application harvest text data and attached tags to each data collected. As approximation of the usage of each table, here is what I expect : customer : ~5000, shouldn't grow fast data : 5 millions per customer, could double or triple for big customers. tag : ~1000, quite fixed size data_tag : hundred of millions per customer easily. Each data can be tagged a lot. The harvesting process is permanent, that means that around every 15 minutes new data come and are tagged, that require a very constant index refreshing. A lot of my queries are a SELECT COUNT of DATA between specific DATES and tagged with a specific TAG on a specific CUSTOMER (very rarely it will involve several customers). Here is the situation, you can imagine with this kind of volume of data I'm facing a challenge in term of data organization and indexing. Again, it's a very minimalistic and simplified version of my structure. My question is, is it better: to stick with this model and to manage crazy index optimization ? (which involves potentially having billions of rows in the data_tag table) change the schema and use one data table and one data_tag table per customer ? (which involves having 5000 tables on my database) I'm running all of this on a MySQL 5.0 dedicated server (quad-core, 8Go of ram) replicated. I only use InnoDB, I also have another server that run Sphinx. So knowing all of this, I can't wait to hear your opinion about this. Thanks.

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  • Accessing mySQL from two ports: Problems with iptables

    - by marekventur
    Hi! I'm trying to make my mySQL-server (running on Ubuntu) listen on port 3306 and 110, because I would like to access it from a network with very few open ports. So far I've found this answer telling me to do iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 110 -j REDIRECT --to-port 3306 but all I got is: # mysql -h mydomain.com -P 3306 -u username --password=xyz Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 68863 Server version: 5.0.75-0ubuntu10.5 (Ubuntu) Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql> exit Bye # mysql -h mydomain.com -P 110 -u username --password=xyz ERROR 2003 (HY000): Can't connect to MySQL server on 'mydomain.com' (111) I'm not an expert with iptables, so I not sure where to look for the problem. I'm googling around for quite some time, but haven't found anything to help me yet. This is what iptable tells me: # iptables -t nat -L -n -v Chain PREROUTING (policy ACCEPT 32M packets, 1674M bytes) pkts bytes target prot opt in out source destination 0 0 REDIRECT tcp -- eth0 * 0.0.0.0/0 0.0.0.0/0 tcp dpt:110 redir ports 3306 Chain POSTROUTING (policy ACCEPT 855K packets, 55M bytes) pkts bytes target prot opt in out source destination Chain OUTPUT (policy ACCEPT 837K packets, 54M bytes) pkts bytes target prot opt in out source destination # iptables -L -n -v Chain INPUT (policy DROP 7 packets, 340 bytes) pkts bytes target prot opt in out source destination 107K 5390K LOG all -- * * 0.0.0.0/0 0.0.0.0/0 state INVALID limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `INPUT INVALID ' 131K 6614K DROP all -- * * 0.0.0.0/0 0.0.0.0/0 state INVALID 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x3F/0x00 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x03/0x03 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x06/0x06 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x05/0x05 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x11/0x01 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x18/0x08 0 0 MY_DROP tcp -- * * 0.0.0.0/0 0.0.0.0/0 tcp flags:0x30/0x20 6948K 12G ACCEPT all -- lo * 0.0.0.0/0 0.0.0.0/0 151M 34G ACCEPT all -- * * 0.0.0.0/0 0.0.0.0/0 state RELATED,ESTABLISHED 32M 1666M ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:80 1833 106K ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:443 603 29392 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:25 1 60 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:465 24 1180 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:110 1 60 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:995 7919 400K ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:143 1 60 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:993 0 0 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:119 1 60 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:53 7 517 ACCEPT udp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW udp dpt:53 1110 65364 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:21 139K 8313K ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:22 10176 499K ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:3306 2 80 ACCEPT udp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW udp dpt:123 0 0 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:6060 4 176 ACCEPT tcp -- venet0 * 0.0.0.0/0 0.0.0.0/0 state NEW tcp dpt:6667 20987 1179K MY_REJECT all -- * * 0.0.0.0/0 0.0.0.0/0 Chain FORWARD (policy DROP 0 packets, 0 bytes) pkts bytes target prot opt in out source destination Chain OUTPUT (policy DROP 0 packets, 0 bytes) pkts bytes target prot opt in out source destination 2159 284K LOG all -- * * 0.0.0.0/0 0.0.0.0/0 state INVALID limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `OUTPUT INVALID ' 2630 304K DROP all -- * * 0.0.0.0/0 0.0.0.0/0 state INVALID 6948K 12G ACCEPT all -- * lo 0.0.0.0/0 0.0.0.0/0 181M 34G ACCEPT all -- * * 0.0.0.0/0 0.0.0.0/0 state NEW,RELATED,ESTABLISHED 0 0 MY_REJECT all -- * * 0.0.0.0/0 0.0.0.0/0 Chain MY_DROP (7 references) pkts bytes target prot opt in out source destination 0 0 LOG all -- * * 0.0.0.0/0 0.0.0.0/0 limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `PORTSCAN DROP ' 0 0 DROP all -- * * 0.0.0.0/0 0.0.0.0/0 Chain MY_REJECT (2 references) pkts bytes target prot opt in out source destination 13806 652K LOG tcp -- * * 0.0.0.0/0 0.0.0.0/0 limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `REJECT TCP ' 18171 830K REJECT tcp -- * * 0.0.0.0/0 0.0.0.0/0 reject-with tcp-reset 912 242K LOG udp -- * * 0.0.0.0/0 0.0.0.0/0 limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `REJECT UDP ' 912 242K REJECT udp -- * * 0.0.0.0/0 0.0.0.0/0 reject-with icmp-port-unreachable 1904 107K LOG icmp -- * * 0.0.0.0/0 0.0.0.0/0 limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `DROP ICMP ' 1904 107K DROP icmp -- * * 0.0.0.0/0 0.0.0.0/0 0 0 LOG all -- * * 0.0.0.0/0 0.0.0.0/0 limit: avg 2/sec burst 5 LOG flags 0 level 4 prefix `REJECT OTHER ' 0 0 REJECT all -- * * 0.0.0.0/0 0.0.0.0/0 reject-with icmp-proto-unreachable Is there anyone who can give ma a hint where to look for the problem? Thank you!

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  • Big Data – Buzz Words: What is Hadoop – Day 6 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Master Data Management for Location Data - Oracle Site Hub

    - by david.butler(at)oracle.com
    Most MDM discussions cover key domains such as customer, supplier, product, service, and reference data. It is usually understood that these domains have complex structures and hundreds if not thousands of attributes that need governing. Location, on the other hand, strikes most people as address data. How hard can that be? But for many industries, locations are complex, and site information is critical to efficient operations and relevant analytics. Retail stores and malls, bank branches, construction sites come to mind. But one of the best industries for illustrating the power of a site mastering application is Oil & Gas.   Oracle's Master Data Management solution for location data is the Oracle Site Hub. It is a location mastering solution that enables organizations to centralize site and location specific information from heterogeneous systems, creating a single view of site information that can be leveraged across all functional departments and analytical systems.   Let's take a look at the location entities the Oracle Site Hub can manage for the Oil & Gas industry: organizations, property, land, buildings, roads, oilfield, service center, inventory site, real estate, facilities, refineries, storage tanks, vendor locations, businesses, assets; project site, area, well, basin, pipelines, critical infrastructure, offshore platform, compressor station, gas station, etc. Any site can be classified into multiple hierarchies, like organizational hierarchy, operational hierarchy, geographic hierarchy, divisional hierarchies and so on. Any site can also be associated to multiple clusters, i.e. collections of sites, and these can be used as a foundation for driving reporting, analysis, organize daily work, etc. Hierarchies can also be used to model entities which are structured or non-structured collections of nodes, like for example routes, pipelines and more. The User Defined Attribute Framework provides the needed infrastructure to add single row attributes groups like well base attributes (well IDs, well type, well structure and key characterizing measures, and more) and well geometry, and multi row attribute groups like well applications, permits, production data, activities, operations, logs, treatments, tests, drills, treatments, and KPIs. Site Hub can also model areas, lands, fields, basins, pools, platforms, eco-zones, and stratigraphic layers as specific sites, tracking their base attributes, aliases, descriptions, subcomponents and more. Midstream entities (pipelines, logistic sites, pump stations) and downstream entities (cylinders, tanks, inventories, meters, partner's sites, routes, facilities, gas stations, and competitor sites) can also be easily modeled, together with their specific attributes and relationships. Site Hub can store any type of unstructured data associated to a site. This could be stored directly or on an external content management solution, like Oracle Universal Content Management. Considering a well, for example, Site Hub can store any relevant associated multimedia file such as: CAD drawings of the well profile, structure and/or parts, engineering documents, contracts, applications, permits, logs, pictures, photos, videos and more. For any site entity, Site Hub can associate all the related assets and equipments at the site, as well as all relationships between sites, between a site and multiple parties, and between a site and any purchasable or sellable item, over time. Items can be equipment, instruments, facilities, services, products, production entities, production facilities (pipelines, batteries, compressor stations, gas plants, meters, separators, etc.), support facilities (rigs, roads, transmission or radio towers, airstrips, etc.), supplier products and services, catalogs, and more. Items can just be associated to sites using standard Site Hub features, or they can be fully mastered by implementing Oracle Product Hub. Site locations (addresses or geographical coordinates) are also managed with out-of-the-box address geo-coding capabilities coupled with Google Maps integration to deliver powerful mapping capabilities and spatial data analysis. Locations can be shared between different sites. Centered on the site location, any site can also have associated areas. Site Hub can master any site location specific information, like for example cadastral, ownership, jurisdictional, geological, seismic and more, and any site-centric area specific information, like for example economical, political, risk, weather, logistic, traffic information and more. Now if anyone ever asks you why locations need MDM, think about how all these Oil & Gas entities and attributes would translate into your business locations. To learn more about Oracle's full MDM solution for the digital oil field, here is a link to Roberto Negro's outstanding whitepaper: Oracle Site Master Data Management for mastering wells and other PPDM entities in a digital oilfield context  

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  • Optimal Data Structure for our own API

    - by vermiculus
    I'm in the early stages of writing an Emacs major mode for the Stack Exchange network; if you use Emacs regularly, this will benefit you in the end. In order to minimize the number of calls made to Stack Exchange's API (capped at 10000 per IP per day) and to just be a generally responsible citizen, I want to cache the information I receive from the network and store it in memory, waiting to be accessed again. I'm really stuck as to what data structure to store this information in. Obviously, it is going to be a list. However, as with any data structure, the choice must be determined by what data is being stored and what how it will be accessed. What, I would like to be able to store all of this information in a single symbol such as stack-api/cache. So, without further ado, stack-api/cache is a list of conses keyed by last update: `(<csite> <csite> <csite>) where <csite> would be (1362501715 . <site>) At this point, all we've done is define a simple association list. Of course, we must go deeper. Each <site> is a list of the API parameter (unique) followed by a list questions: `("codereview" <cquestion> <cquestion> <cquestion>) Each <cquestion> is, you guessed it, a cons of questions with their last update time: `(1362501715 <question>) (1362501720 . <question>) <question> is a cons of a question structure and a list of answers (again, consed with their last update time): `(<question-structure> <canswer> <canswer> <canswer> and ` `(1362501715 . <answer-structure>) This data structure is likely most accurately described as a tree, but I don't know if there's a better way to do this considering the language, Emacs Lisp (which isn't all that different from the Lisp you know and love at all). The explicit conses are likely unnecessary, but it helps my brain wrap around it better. I'm pretty sure a <csite>, for example, would just turn into (<epoch-time> <api-param> <cquestion> <cquestion> ...) Concerns: Does storing data in a potentially huge structure like this have any performance trade-offs for the system? I would like to avoid storing extraneous data, but I've done what I could and I don't think the dataset is that large in the first place (for normal use) since it's all just human-readable text in reasonable proportion. (I'm planning on culling old data using the times at the head of the list; each inherits its last-update time from its children and so-on down the tree. To what extent this cull should take place: I'm not sure.) Does storing data like this have any performance trade-offs for that which must use it? That is, will set and retrieve operations suffer from the size of the list? Do you have any other suggestions as to what a better structure might look like?

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  • PHP Code (modules) included via MySQL database, good idea?

    - by ionFish
    The main script includes "modules" which add functionality to it. Each module is set up like this: <?php //data collection stuff //(...) approx 80 lines of code //end data collection $var1 = 'some data'; $var2 = 'more data'; $var3 = 'other data'; ?> Each module has the same exact variables, just the data collection is different. I was wondering if it's a reasonable idea to store the module data in MySQL like this: [database] |_modules |_name |_function (the raw PHP data from above) |_description |_author |_update-url |_version |_enabled ...and then include the PHP-data from the database and execute it? Something like, a tab-navigation system at the top of the page for each module name, then inside each of those tabs the page content would function by parsing the database-stored code of the module from the function section. The purpose would be to save code space (fewer lines), allow for easy updates, and include/exclude modules based on the enabled option. This is how many other web-apps work, some of my own too. But never had I thought about this so deeply. Are there any drawbacks or security risks to this?

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  • Qt static build with static mysql plugin confusion

    - by bdiloreto
    I have built a Qt application which uses the MySQL library, but I am confused by the documentation on static versus shared builds. From the Qt documentation at http://doc.qt.nokia.com/4.7/deployment-windows.html it says: To deploy plugin-based applications we should use the shared library approach. And on http://doc.qt.nokia.com/4.7/deployment.html, it says: Static linking results in a stand-alone executable. The advantage is that you will only have a few files to deploy. The disadvantages are that the executables are large and with no flexibility and that you cannot deploy plugins. To deploy plugin-based applications, you can use the shared library approach. But on http://doc.qt.nokia.com/latest/plugins-howto.html, it seems to say the opposite, giving directions on how to use static plugins: Plugins can be linked statically against your application. If you build the static version of Qt, this is the only option for including Qt's predefined plugins. Using static plugins makes the deployment less error-prone, but has the disadvantage that no functionality from plugins can be added without a complete rebuild and redistribution of the application. ... To link statically against those plugins, you need to use the Q_IMPORT_PLUGIN() macro in your application and you need to add the required plugins to your build using QTPLUGIN. I want to build the Qt libraries statically (for easy deployment) and then use the static MySQL plugin. To do this, I did NOT use the binary distrubtion for Windows. Instead, I've started with the source qt-everywhere-opensource-src-4.7.4 Is the following the correct way to do a static build so that i can use the static MySql plugin? configure -static -debug-and-release -opensource -platform win32-msvc2010 -no-qt3support -no-webkit -no-script -plugin-sql-mysql -I C:\MySQL\include -L C:\MySQL\lib This should build the Qt libraries statically AND the static plugin to be linked at run-time, correct? I would NOT need to build the Mysql Plugin from source separately, correct? If I was to subtitute "-qt-sql-mysql" for "-plugin-sql-mysql" in above, it would include the MySQL driver directly in the QT static libraries, in which case I would NOT need to use the plugin at all, correct? Thanks for making me unconfused!

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  • How do you handle the fetchxml result data?

    - by Luke Baulch
    I have avoided working with fetchxml as I have been unsure the best way to handle the result data after calling crmService.Fetch(fetchXml). In a couple of situations, I have used an XDocument with LINQ to retrieve the data from this data structure, such as: XDocument resultset = XDocument.Parse(_service.Fetch(fetchXml)); if (resultset.Root == null || !resultset.Root.Elements("result").Any()) { return; } foreach (var displayItem in resultset.Root.Elements("result").Select(item => item.Element(displayAttributeName)).Distinct()) { if (displayItem!= null && displayItem.Value != null) { dropDownList.Items.Add(displayItem.Value); } } What is the best way to handle fetchxml result data, so that it can be easily used. Applications such as passing these records into an ASP.NET datagrid would be quite useful.

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  • MySQL my.cnf file not being read, Ubuntu 10.04 64bit

    - by reallyordinary
    I've been researching this for a few hours with no luck. Basically it looks like my server's my.cnf file isn't being read at all. I've searched my server, and there's only one my.cnf file on it, located at /etc/mysql/my.cnf. Its ownership is root:root. I'm running Ubuntu 10.04 64bit on a Linode.com server. I have the latest versions of MySQL and PHP installed. I've edited the my.cnf file, commented out "skip-innodb", and have set innodb to be the default storage engine using default-storage-engine = innodb And then restarted mysql. But when I do show engines, MyISAM is still coming up as the default engine. Also - none of the innodb settings I've added to the my.cnf file are being read. For example, I have this in my.cnf: innodb_buffer_pool_size=4G But in phpmyadmin, InnoDB is showing as having a buffer pool size of 8,192 KiB. Similarly, I have this in the my.cnf: innodb_data-file_path = ibdata1:500M:autoextend But in phpmyadmin, it's reading as ibdata1:10M:autoextend. It doesn't look like MyISAM info is being read from the my.cnf file either. The my.cnf file has skip-external-locking queried out, but it's showing as "on" in phpmyadmin. So - yeah, it looks like nothing in the my.cnf file is being read at all. But the server still works. I'm running a Drupal site on it and it seems to operate fine. So mysql seems to be drawing default settings from... some mysterious secret location. Any idea how I can make mysql see and use this my.cnf file? Actually, wait - it looks like it may be being read, not sure. I checked the error.log and found this: 101128 4:28:52 [ERROR] Cannot find or open table databasename/cache_apachesolr from the internal data dictionary of InnoDB though the .frm file for the table exists. Maybe you have deleted and recreated InnoDB data files but have forgotten to delete the corresponding .frm files of InnoDB tables, or you have moved .frm files to another database? or, the table contains indexes that this version of the engine doesn't support. See http://dev.mysql.com/doc/refman/5.1/en/innodb-troubleshooting.html how you can resolve the problem. InnoDB: Error: auto-extending data file ./ibdata1 is of a different size InnoDB: 640 pages (rounded down to MB) than specified in the .cnf file: InnoDB: initial 32000 pages, max 0 (relevant if non-zero) pages! InnoDB: Could not open or create data files. InnoDB: If you tried to add new data files, and it failed here, InnoDB: you should now edit innodb_data_file_path in my.cnf back InnoDB: to what it was, and remove the new ibdata files InnoDB created InnoDB: in this failed attempt. InnoDB only wrote those files full of InnoDB: zeros, but did not yet use them in any way. But be careful: do not InnoDB: remove old data files which contain your precious data! 101128 4:28:52 [ERROR] Plugin 'InnoDB' init function returned error. 101128 4:28:52 [ERROR] Plugin 'InnoDB' registration as a STORAGE ENGINE failed. 101128 4:28:52 [ERROR] /usr/sbin/mysqld: unknown variable 'innodb_lock_wait_timout=50' 101128 4:28:52 [ERROR] Aborting 101128 4:28:52 [Note] /usr/sbin/mysqld: Shutdown complete

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  • Generate Entity Data Model from Data Contract

    - by CSmooth.net
    I would like to find a fast way to convert a Data Contract to a Entity Data Model. Consider the following Data Contract: [DataContract] class PigeonHouse { [DataMember] public string housename; [DataMember] public List<Pigeon> pigeons; } [DataContract] class Pigeon { [DataMember] public string name; [DataMember] public int numberOfWings; [DataMember] public int age; } Is there an easy way to create an ADO.NET Entity Data Model from this code?

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  • In MySQL, what is the most effective query design for joining large tables with many to many relatio

    - by lighthouse65
    In our application, we collect data on automotive engine performance -- basically source data on engine performance based on the engine type, the vehicle running it and the engine design. Currently, the basis for new row inserts is an engine on-off period; we monitor performance variables based on a change in engine state from active to inactive and vice versa. The related engineState table looks like this: +---------+-----------+---------------+---------------------+---------------------+-----------------+ | vehicle | engine | engine_state | state_start_time | state_end_time | engine_variable | +---------+-----------+---------------+---------------------+---------------------+-----------------+ | 080025 | E01 | active | 2008-01-24 16:19:15 | 2008-01-24 16:24:45 | 720 | | 080028 | E02 | inactive | 2008-01-24 16:19:25 | 2008-01-24 16:22:17 | 304 | +---------+-----------+---------------+---------------------+---------------------+-----------------+ For a specific analysis, we would like to analyze table content based on a row granularity of minutes, rather than the current basis of active / inactive engine state. For this, we are thinking of creating a simple productionMinute table with a row for each minute in the period we are analyzing and joining the productionMinute and engineEvent tables on the date-time columns in each table. So if our period of analysis is from 2009-12-01 to 2010-02-28, we would create a new table with 129,600 rows, one for each minute of each day for that three-month period. The first few rows of the productionMinute table: +---------------------+ | production_minute | +---------------------+ | 2009-12-01 00:00 | | 2009-12-01 00:01 | | 2009-12-01 00:02 | | 2009-12-01 00:03 | +---------------------+ The join between the tables would be engineState AS es LEFT JOIN productionMinute AS pm ON es.state_start_time <= pm.production_minute AND pm.production_minute <= es.event_end_time. This join, however, brings up multiple environmental issues: The engineState table has 5 million rows and the productionMinute table has 130,000 rows When an engineState row spans more than one minute (i.e. the difference between es.state_start_time and es.state_end_time is greater than one minute), as is the case in the example above, there are multiple productionMinute table rows that join to a single engineState table row When there is more than one engine in operation during any given minute, also as per the example above, multiple engineState table rows join to a single productionMinute row In testing our logic and using only a small table extract (one day rather than 3 months, for the productionMinute table) the query takes over an hour to generate. In researching this item in order to improve performance so that it would be feasible to query three months of data, our thoughts were to create a temporary table from the engineEvent one, eliminating any table data that is not critical for the analysis, and joining the temporary table to the productionMinute table. We are also planning on experimenting with different joins -- specifically an inner join -- to see if that would improve performance. What is the best query design for joining tables with the many:many relationship between the join predicates as outlined above? What is the best join type (left / right, inner)?

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  • mysql connection error 1045 on windows vista

    - by Namrata
    Environment mysql-essential-5.1 mysql-workbench-oss-5.1.18a windows vista asmin account, UAC off windows firewall exception- add port- mysql 3306 tcp is set I unstalled mysql from installer remove option which delete all related folder and reinstalled it I need to connect mysql from nebeans 6.8 All good tutorials, blogs not really helping much can anybody help me.

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  • Detecting a Lightweight Core Data Migration

    - by hadronzoo
    I'm using Core Data's automatic lightweight migration successfully. However, when a particular entity gets created during a migration, I'd like to populate it with some data. Of course I could check if the entity is empty every time the application starts, but this seems inefficient when Core Data has a migration framework. Is it possible to detect when a lightweight migration occurs (possibly using KVO or notifications), or does this require implementing standard migrations? I've tried using the NSPersistentStoreCoordinatorStoresDidChangeNotification, but it doesn't fire when migrations occur.

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  • Getting started with massive data

    - by Max
    I'm a math guy and occasionally do some statistics/machine learning analysis consulting projects on the side. The data I have access to are usually on the smaller side, at most a couple hundred of megabytes (and almost always far less), but I want to learn more about handling and analyzing data on the gigabyte/terabyte scale. What do I need to know and what are some good resources to learn from? Hadoop/MapReduce is one obvious start. Is there a particular programming language I should pick up? (I primarily work now in Python, Ruby, R, and occasionally Java, but it seems like C and Clojure are often used for large-scale data analysis?) I'm not really familiar with the whole NoSQL movement, except that it's associated with big data. What's a good place to learn about it, and is there a particular implementation (Cassandra, CouchDB, etc.) I should get familiar with? Where can I learn about applying machine learning algorithms to huge amounts of data? My math background is mostly on the theory side, definitely not on the numerical or approximation side, and I'm guessing most of the standard ML algorithms don't really scale. Any other suggestions on things to learn would be great!

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