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Could someone give me their two cents on this optimization strategy

- by jimstandard

Background: I am writing a matching script in python that will match records of a transaction in one database to names of customers in another database. The complexity is that names are not unique and can be represented multiple different ways from transaction to transaction. Rather than doing multiple queries on the database (which is pretty slow) would it be faster to get all of the records where the last name (which in this case we will say never changes) is "Smith" and then have all of those records loaded into memory as you go though each looking for matches for a specific "John Smith" using various data points. Would this be faster, is it feasible in python, and if so does anyone have any recommendations for how to do it?

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Receiving SQL Server events from a CLR function

- by Pablo Lerner

I wrote a CLR class with several methods, which are linked as functions in a SQL Server 2005 database. When several of these functions are used in scope of one transaction or connection, I need another one to be automatically executed to clean up some stuff, at the time of transaction or connection close (either time is good for now, later I will decide which is best). I figure that receiving events from another new CLR functions can do, but I don't know how to achieve that. Can anyone point me to information on modules, documents or whatever, that can help me understand how to receive transaction or connection closing events in a CLR class, or how to execute a particular function when these events occur?

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DI: Injecting ActionFilterAttribute implementation (ASP.NET MVC)

- by Sosh

I was wondering if it is possible to inject a particular ActionFilterAttribute implementation using a IoC container. For example, imagine you create a TransactionAttribute class [Transaction] You use this to decorate action which should be wrapped in a transaction in the persistence layer. But implementation details of the attribute will be tied to the persistence tech you are using, but strictly speaking, your controller should not know about this, and you might want to swap this out. What I would like to do, is define some kind of TransactionAttribute interface, and then have my IoC inject the correct implantation. So on my actions I only need specify: [Transaction] public ActionResult SomeAction() { .... } ...and the IoC will inject the correct implementation depending on config (eg. something like NHibernateTransactionAttribute, or SomeOtherORMTransactionAttribute). Is this possible? Has anyone done it?

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Using generics in dotnet for functions with any number of arguments?

- by Zarigani

I would like to have a function that can "wrap" any other function call. In this particular case, it would allow me to write some more generic transaction handling around some specific operations. I can write this for any particular number of arguments, e.g. for one argument: Public Shared Sub WrapFunc(Of T)(ByVal f As Action(Of T), ByVal arg As T) ' Test some stuff, start transaction f(arg) ' Test some stuff, end transaction End Sub ... but I was hoping to have this handle any number of arguments without having to have duplicate code for 0 args, 1 arg, 2 args, etc. Is there a way of doing this?

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Rails Rspec testing not saving a transactional model

- by NolanDC

I'm currently testing my Rails controllers using RSpec. In one controller, I have a model that uses transactions, so that it will not be saved unless another nested model (whose data is filled in using fields_for) is also saved correctly. The tests hit a snag when they reach the transaction. Some debugging output proves that the model is valid and ready to save. However, upon entering the transaction block, the model does not save. Even stranger, the code never reaches the else clause of "if model.save" (It does, however, enter the transaction block). I can only assume this is a problem with my testing a transactional model. Any ideas/hints/solutions?

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Rspec > testing database views

- by Sean McCleary

How can database views be tested in Rspec? Every scenario is wrapped in a transaction and the data does not look like it is being persisted to the database (MySQL in my case). My view returns with an empty result set because none of the records are being persisted in the transaction. I am validating that the records are not being stored by setting a debug point in my spec and checking my data with a database client while the spec is being debugged. The only way I can think to have my view work would be if I could commit the transaction before the end of the scenario and then clear the database after the scenario is complete. Does anyone know how to accomplish this or is there a better way? Thanks

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Best method to print using wpf 4

- by user293545

Howdy, I need to be able to print from my wpf application. I am just trying to print a transaction receipt. I have found that using PrintDialog pDialog = new PrintDialog(); pDialog.PrintVisual(new Receipt("transaction name","my store"), "documentTitle"); Does the trick very nicely. "Receipt() is a usercontrol that renders out the transaction details. How are you meant to do this? is this the correct way? what do I do if I dont know the printer that is going to be used? should I make the usercontrol only as wide as a thermal receipt printer? Any suggestions would be great!

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Strange Locking Behaviour in SQL Server 2005

- by SQL Learner

Can anyone please tell me why does the following statement inside a given stored procedure returns repeated results even with locks on the rows used by the first SELECT statement? BEGIN TRANSACTION DECLARE @Temp TABLE ( ID INT ) INSERT INTO @Temp SELECT ID FROM SomeTable WITH (ROWLOCK, UPDLOCK, READPAST) WHERE SomeValue <= 10 INSERT INTO @Temp SELECT ID FROM SomeTable WITH (ROWLOCK, UPDLOCK, READPAST) WHERE SomeValue >= 5 SELECT * FROM @Temp COMMIT TRANSACTION Any values in SomeTable for which SomeValue is between 5 and 10 will be returned twice, even though they were locked in the first SELECT. I thought that locks were in place for the whole transaction, and so I wasn't expecting the query to return repeated results. Why is this happening?

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PHP automaticly parses my string?

- by PlagueEditor

Some Background info: My web application stores some XML in a Text column of the MySQL database. This XML represents a transaction for the application. The problem occurs when I'm testing my library. Within PHP, I have a string: $s="<flist><transaction amount=\"10\" type=\"income\">Initial Amount</transaction></flist>"; However, whenever I echo or consecrate this string, it turns into "Initial Amount". Am I missing a feature of PHP? How can I fix this? Wow! As I'm creating this post, StackOverflow is transforming that XML into $s=Initial Amount as well... Please help... Thank-you for your time as this completely perplexes me.

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How to Achieve Real-Time Data Protection and Availabilty....For Real

- by JoeMeeks

There is a class of business and mission critical applications where downtime or data loss have substantial negative impact on revenue, customer service, reputation, cost, etc. Because the Oracle Database is used extensively to provide reliable performance and availability for this class of application, it also provides an integrated set of capabilities for real-time data protection and availability. Active Data Guard, depicted in the figure below, is the cornerstone for accomplishing these objectives because it provides the absolute best real-time data protection and availability for the Oracle Database. This is a bold statement, but it is supported by the facts. It isn’t so much that alternative solutions are bad, it’s just that their architectures prevent them from achieving the same levels of data protection, availability, simplicity, and asset utilization provided by Active Data Guard. Let’s explore further. Backups are the most popular method used to protect data and are an essential best practice for every database. Not surprisingly, Oracle Recovery Manager (RMAN) is one of the most commonly used features of the Oracle Database. But comparing Active Data Guard to backups is like comparing apples to motorcycles. Active Data Guard uses a hot (open read-only), synchronized copy of the production database to provide real-time data protection and HA. In contrast, a restore from backup takes time and often has many moving parts - people, processes, software and systems – that can create a level of uncertainty during an outage that critical applications can’t afford. This is why backups play a secondary role for your most critical databases by complementing real-time solutions that can provide both data protection and availability. Before Data Guard, enterprises used storage remote-mirroring for real-time data protection and availability. Remote-mirroring is a sophisticated storage technology promoted as a generic infrastructure solution that makes a simple promise – whatever is written to a primary volume will also be written to the mirrored volume at a remote site. Keeping this promise is also what causes data loss and downtime when the data written to primary volumes is corrupt – the same corruption is faithfully mirrored to the remote volume making both copies unusable. This happens because remote-mirroring is a generic process. It has no intrinsic knowledge of Oracle data structures to enable advanced protection, nor can it perform independent Oracle validation BEFORE changes are applied to the remote copy. There is also nothing to prevent human error (e.g. a storage admin accidentally deleting critical files) from also impacting the remote mirrored copy. Remote-mirroring tricks users by creating a false impression that there are two separate copies of the Oracle Database. In truth; while remote-mirroring maintains two copies of the data on different volumes, both are part of a single closely coupled system. Not only will remote-mirroring propagate corruptions and administrative errors, but the changes applied to the mirrored volume are a result of the same Oracle code path that applied the change to the source volume. There is no isolation, either from a storage mirroring perspective or from an Oracle software perspective. Bottom line, storage remote-mirroring lacks both the smarts and isolation level necessary to provide true data protection. Active Data Guard offers much more than storage remote-mirroring when your objective is protecting your enterprise from downtime and data loss. Like remote-mirroring, an Active Data Guard replica is an exact block for block copy of the primary. Unlike remote-mirroring, an Active Data Guard replica is NOT a tightly coupled copy of the source volumes - it is a completely independent Oracle Database. Active Data Guard’s inherent knowledge of Oracle data block and redo structures enables a separate Oracle Database using a different Oracle code path than the primary to use the full complement of Oracle data validation methods before changes are applied to the synchronized copy. These include: physical check sum, logical intra-block checking, lost write validation, and automatic block repair. The figure below illustrates the stark difference between the knowledge that remote-mirroring can discern from an Oracle data block and what Active Data Guard can discern. An Active Data Guard standby also provides a range of additional services enabled by the fact that it is a running Oracle Database - not just a mirrored copy of data files. An Active Data Guard standby database can be open read-only while it is synchronizing with the primary. This enables read-only workloads to be offloaded from the primary system and run on the active standby - boosting performance by utilizing all assets. An Active Data Guard standby can also be used to implement many types of system and database maintenance in rolling fashion. Maintenance and upgrades are first implemented on the standby while production runs unaffected at the primary. After the primary and standby are synchronized and all changes have been validated, the production workload is quickly switched to the standby. The only downtime is the time required for user connections to transfer from one system to the next. These capabilities further expand the expectations of availability offered by a data protection solution beyond what is possible to do using storage remote-mirroring. So don’t be fooled by appearances. Storage remote-mirroring and Active Data Guard replication may look similar on the surface - but the devil is in the details. Only Active Data Guard has the smarts, the isolation, and the simplicity, to provide the best data protection and availability for the Oracle Database. Stay tuned for future blog posts that dive into the many differences between storage remote-mirroring and Active Data Guard along the dimensions of data protection, data availability, cost, asset utilization and return on investment. For additional information on Active Data Guard, see: Active Data Guard Technical White Paper Active Data Guard vs Storage Remote-Mirroring Active Data Guard Home Page on the Oracle Technology Network

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spring security : Failed to load ApplicationContext with pre-post-annotations="enabled"

- by thogau

I am using spring 3.0.1 + spring-security 3.0.2 and I am trying to use features like @PreAuthorize and @PostFilter annotations. When running in units tests using @RunWith(SpringJUnit4ClassRunner.class) or in a main(String[] args) method my application context fails to start if enable pre-post-annotations and use org.springframework.security.acls.AclPermissionEvaluator :  <security:global-method-security pre-post-annotations="enabled"> <security:expression-handler ref="expressionHandler"/> </security:global-method-security> <bean id="expressionHandler" class="org.springframework.security.access.expression.method.DefaultMethodSecurityExpressionHandler"> <property name="permissionEvaluator" ref="aclPermissionEvaluator"/> </bean> <bean id="aclPermissionEvaluator" class="org.springframework.security.acls.AclPermissionEvaluator"> <constructor-arg ref="aclService"/> </bean>  <context:annotation-config /> <context:component-scan base-package="com.rreps.core" /> <bean id="propertyConfigurer" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer"> <property name="locations"> <list> <value>classpath:applicationContext.properties</value> </list> </property> </bean> <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource"> <property name="driverClass" value="${jdbc.driver}" /> <property name="jdbcUrl" value="${jdbc.url}" /> <property name="user" value="${jdbc.username}" /> <property name="password" value="${jdbc.password}" /> <property name="initialPoolSize" value="10" /> <property name="minPoolSize" value="5" /> <property name="maxPoolSize" value="25" /> <property name="acquireRetryAttempts" value="10" /> <property name="acquireIncrement" value="5" /> <property name="idleConnectionTestPeriod" value="3600" /> <property name="maxIdleTime" value="10800" /> <property name="maxConnectionAge" value="14400" /> <property name="preferredTestQuery" value="SELECT 1;" /> <property name="testConnectionOnCheckin" value="false" /> </bean> <bean id="auditedSessionFactory" class="org.springframework.orm.hibernate3.annotation.AnnotationSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="configLocation" value="classpath:hibernate.cfg.xml" /> <property name="hibernateProperties"> <value> hibernate.dialect=${hibernate.dialect} hibernate.query.substitutions=true 'Y', false 'N' hibernate.cache.use_second_level_cache=true hibernate.cache.provider_class=net.sf.ehcache.hibernate.SingletonEhCacheProvider hibernate.hbm2ddl.auto=update hibernate.c3p0.acquire_increment=5 hibernate.c3p0.idle_test_period=3600 hibernate.c3p0.timeout=10800 hibernate.c3p0.max_size=25 hibernate.c3p0.min_size=1 hibernate.show_sql=false hibernate.validator.autoregister_listeners=false </value> </property>  <property name="entityInterceptor"> <bean class="com.rreps.core.dao.hibernate.interceptor.TrackingInterceptor" /> </property> </bean> <bean id="simpleSessionFactory" class="org.springframework.orm.hibernate3.annotation.AnnotationSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="configLocation" value="classpath:hibernate.cfg.xml" /> <property name="hibernateProperties"> <value> hibernate.dialect=${hibernate.dialect} hibernate.query.substitutions=true 'Y', false 'N' hibernate.cache.use_second_level_cache=true hibernate.cache.provider_class=net.sf.ehcache.hibernate.SingletonEhCacheProvider hibernate.hbm2ddl.auto=update hibernate.c3p0.acquire_increment=5 hibernate.c3p0.idle_test_period=3600 hibernate.c3p0.timeout=10800 hibernate.c3p0.max_size=25 hibernate.c3p0.min_size=1 hibernate.show_sql=false hibernate.validator.autoregister_listeners=false </value> </property>  </bean> <bean id="sequenceSessionFactory" class="org.springframework.orm.hibernate3.annotation.AnnotationSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="configLocation" value="classpath:hibernate.cfg.xml" /> <property name="hibernateProperties"> <value> hibernate.dialect=${hibernate.dialect} hibernate.query.substitutions=true 'Y', false 'N' hibernate.cache.use_second_level_cache=true hibernate.cache.provider_class=net.sf.ehcache.hibernate.SingletonEhCacheProvider hibernate.hbm2ddl.auto=update hibernate.c3p0.acquire_increment=5 hibernate.c3p0.idle_test_period=3600 hibernate.c3p0.timeout=10800 hibernate.c3p0.max_size=25 hibernate.c3p0.min_size=1 hibernate.show_sql=false hibernate.validator.autoregister_listeners=false </value> </property> </bean> <bean id="validationFactory" class="javax.validation.Validation" factory-method="buildDefaultValidatorFactory" />   <tx:annotation-driven transaction-manager="transactionManager"/> <bean id="transactionManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="auditedSessionFactory" /> </bean> <security:authentication-manager alias="authenticationManager"> <security:authentication-provider user-service-ref="userDetailsService" /> </security:authentication-manager> <bean id="userDetailsService" class="com.rreps.core.service.impl.UserDetailsServiceImpl" />  <bean id="aclCache" class="org.springframework.security.acls.domain.EhCacheBasedAclCache"> <constructor-arg> <bean class="org.springframework.cache.ehcache.EhCacheFactoryBean"> <property name="cacheManager"> <bean class="org.springframework.cache.ehcache.EhCacheManagerFactoryBean"/> </property> <property name="cacheName" value="aclCache"/> </bean> </constructor-arg> </bean> <bean id="lookupStrategy" class="org.springframework.security.acls.jdbc.BasicLookupStrategy"> <constructor-arg ref="dataSource"/> <constructor-arg ref="aclCache"/> <constructor-arg> <bean class="org.springframework.security.acls.domain.AclAuthorizationStrategyImpl"> <constructor-arg> <list> <bean class="org.springframework.security.core.authority.GrantedAuthorityImpl"> <constructor-arg value="ROLE_ADMINISTRATEUR"/> </bean> <bean class="org.springframework.security.core.authority.GrantedAuthorityImpl"> <constructor-arg value="ROLE_ADMINISTRATEUR"/> </bean> <bean class="org.springframework.security.core.authority.GrantedAuthorityImpl"> <constructor-arg value="ROLE_ADMINISTRATEUR"/> </bean> </list> </constructor-arg> </bean> </constructor-arg> <constructor-arg> <bean class="org.springframework.security.acls.domain.ConsoleAuditLogger"/> </constructor-arg> </bean> <bean id="aclService" class="com.rreps.core.service.impl.MysqlJdbcMutableAclService"> <constructor-arg ref="dataSource"/> <constructor-arg ref="lookupStrategy"/> <constructor-arg ref="aclCache"/> </bean> The strange thing is that the context starts normally when deployed in a webapp and @PreAuthorize and @PostFilter annotations are working fine as well... Any idea what is wrong? Here is the end of the stacktrace : ... 55 more Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'dataSource' defined in class path resource [applicationContext-core.xml]: Initialization of bean failed; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.transaction.config.internalTransactionAdvisor': Cannot resolve reference to bean 'org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0' while setting bean property 'transactionAttributeSource'; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0': Initialization of bean failed; nested exception is java.lang.NullPointerException at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:521) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:450) at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:290) at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:222) at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:287) at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:189) at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveReference(BeanDefinitionValueResolver.java:322) ... 67 more Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.transaction.config.internalTransactionAdvisor': Cannot resolve reference to bean 'org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0' while setting bean property 'transactionAttributeSource'; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0': Initialization of bean failed; nested exception is java.lang.NullPointerException at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveReference(BeanDefinitionValueResolver.java:328) at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveValueIfNecessary(BeanDefinitionValueResolver.java:106) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.applyPropertyValues(AbstractAutowireCapableBeanFactory.java:1308) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.populateBean(AbstractAutowireCapableBeanFactory.java:1067) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:511) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:450) at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:290) at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:222) at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:287) at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193) at org.springframework.aop.framework.autoproxy.BeanFactoryAdvisorRetrievalHelper.findAdvisorBeans(BeanFactoryAdvisorRetrievalHelper.java:86) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.findCandidateAdvisors(AbstractAdvisorAutoProxyCreator.java:100) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.findEligibleAdvisors(AbstractAdvisorAutoProxyCreator.java:86) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.getAdvicesAndAdvisorsForBean(AbstractAdvisorAutoProxyCreator.java:68) at org.springframework.aop.framework.autoproxy.AbstractAutoProxyCreator.wrapIfNecessary(AbstractAutoProxyCreator.java:359) at org.springframework.aop.framework.autoproxy.AbstractAutoProxyCreator.postProcessAfterInitialization(AbstractAutoProxyCreator.java:322) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.applyBeanPostProcessorsAfterInitialization(AbstractAutowireCapableBeanFactory.java:404) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1409) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:513) ... 73 more Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0': Initialization of bean failed; nested exception is java.lang.NullPointerException at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:521) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:450) at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:290) at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:222) at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:287) at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:189) at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveReference(BeanDefinitionValueResolver.java:322) ... 91 more Caused by: java.lang.NullPointerException at org.springframework.security.access.method.DelegatingMethodSecurityMetadataSource.getAttributes(DelegatingMethodSecurityMetadataSource.java:52) at org.springframework.security.access.intercept.aopalliance.MethodSecurityMetadataSourceAdvisor$MethodSecurityMetadataSourcePointcut.matches(MethodSecurityMetadataSourceAdvisor.java:129) at org.springframework.aop.support.AopUtils.canApply(AopUtils.java:215) at org.springframework.aop.support.AopUtils.canApply(AopUtils.java:252) at org.springframework.aop.support.AopUtils.findAdvisorsThatCanApply(AopUtils.java:284) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.findAdvisorsThatCanApply(AbstractAdvisorAutoProxyCreator.java:117) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.findEligibleAdvisors(AbstractAdvisorAutoProxyCreator.java:87) at org.springframework.aop.framework.autoproxy.AbstractAdvisorAutoProxyCreator.getAdvicesAndAdvisorsForBean(AbstractAdvisorAutoProxyCreator.java:68) at org.springframework.aop.framework.autoproxy.AbstractAutoProxyCreator.wrapIfNecessary(AbstractAutoProxyCreator.java:359) at org.springframework.aop.framework.autoproxy.AbstractAutoProxyCreator.postProcessAfterInitialization(AbstractAutoProxyCreator.java:322) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.applyBeanPostProcessorsAfterInitialization(AbstractAutowireCapableBeanFactory.java:404) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1409) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:513) ... 97 more

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Fundtech’s Global PAYplus Achieves Oracle Exadata and Oracle Exalogic Optimized Status

- by Javier Puerta

Fundtech, a leader in global transaction banking solutions, has announced that Global PAYplus® – Services Platform (GPP-SP) version 4 has achieved Oracle Exadata Optimized and Oracle Exalogic Optimized status. (Read full announcement here) "GPP-SP testing was done in the third quarter of 2012 in the Oracle Exastack Lab located in the Oracle Solution Center in Linlithgow, Scotland. It showed that an integrated solution can result in a highly streamlined installation, enabling reduced cost of evaluation, acquisition and ownership. Highlights of the transaction processing test are as follows: 9.3 million Mass Payments per hour 5.7 million Single Payments per hour The test found that the optimized combination of GPP-SP running on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud is able to increase transactions per second (TPS) output per core, and able to reduce total cost of ownership (TCO). The volumes achieved were using only 25% of Exadata/Exalogic processing capacity".

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Using Table-Valued Parameters With SQL Server Reporting Services

- by Jesse

In my last post I talked about using table-valued parameters to pass a list of integer values to a stored procedure without resorting to using comma-delimited strings and parsing out each value into a TABLE variable. In this post I’ll extend the “Customer Transaction Summary” report example to see how we might leverage this same stored procedure from within an SQL Server Reporting Services (SSRS) report. I’ve worked with SSRS off and on for the past several years and have generally found it to be a very useful tool for building nice-looking reports for end users quickly and easily. That said, I’ve been frustrated by SSRS from time to time when seemingly simple things are difficult to accomplish or simply not supported at all. I thought that using table-valued parameters from within a SSRS report would be simple, but unfortunately I was wrong. Customer Transaction Summary Example Let’s take the “Customer Transaction Summary” report example from the last post and try to plug that same stored procedure into an SSRS report. Our report will have three parameters: Start Date – beginning of the date range for which the report will summarize customer transactions End Date – end of the date range for which the report will summarize customer transactions Customer Ids – One or more customer Ids representing the customers that will be included in the report The simplest way to get started with this report will be to create a new dataset and point it at our Customer Transaction Summary report stored procedure (note that I’m using SSRS 2012 in the screenshots below, but there should be little to no difference with SSRS 2008): When you initially create this dataset the SSRS designer will try to invoke the stored procedure to determine what the parameters and output fields are for you automatically. As part of this process the following dialog pops-up: Obviously I can’t use this dialog to specify a value for the ‘@customerIds’ parameter since it is of the IntegerListTableType user-defined type that we created in the last post. Unfortunately this really throws the SSRS designer for a loop, and regardless of what combination of Data Type, Pass Null Value, or Parameter Value I used here, I kept getting this error dialog with the message, "Operand type clash: nvarchar is incompatible with IntegerListTableType". This error message makes some sense considering that the nvarchar type is indeed incompatible with the IntegerListTableType, but there’s little clue given as to how to remedy the situation. I don’t know for sure, but I think that behind-the-scenes the SSRS designer is trying to give the @customerIds parameter an nvarchar-typed SqlParameter which is causing the issue. When I first saw this error I figured that this might just be a limitation of the dataset designer and that I’d be able to work around the issue by manually defining the parameters. I know that there are some special steps that need to be taken when invoking a stored procedure with a table-valued parameter from ADO .NET, so I figured that I might be able to use some custom code embedded in the report to create a SqlParameter instance with the needed properties and value to make this work, but the “Operand type clash" error message persisted. The Text Query Approach Just because we’re using a stored procedure to create the dataset for this report doesn’t mean that we can’t use the ‘Text’ Query Type option and construct an EXEC statement that will invoke the stored procedure. In order for this to work properly the EXEC statement will also need to declare and populate an IntegerListTableType variable to pass into the stored procedure. Before I go any further I want to make one point clear: this is a really ugly hack and it makes me cringe to do it. Simply put, I strongly feel that it should not be this difficult to use a table-valued parameter with SSRS. With that said, let’s take a look at what we’ll have to do to make this work. Manually Define Parameters First, we’ll need to manually define the parameters for report by right-clicking on the ‘Parameters’ folder in the ‘Report Data’ window. We’ll need to define the ‘@startDate’ and ‘@endDate’ as simple date parameters. We’ll also create a parameter called ‘@customerIds’ that will be a mutli-valued Integer parameter: In the ‘Available Values’ tab we’ll point this parameter at a simple dataset that just returns the CustomerId and CustomerName of each row in the Customers table of the database or manually define a handful of Customer Id values to make available when the report runs. Once we have these parameters properly defined we can take another crack at creating the dataset that will invoke the ‘rpt_CustomerTransactionSummary’ stored procedure. This time we’ll choose the ‘Text’ query type option and put the following into the ‘Query’ text area: 1: exec('declare @customerIdList IntegerListTableType ' + @customerIdInserts + 2: ' EXEC rpt_CustomerTransactionSummary 3: @startDate=''' + @startDate + ''', 4: @endDate='''+ @endDate + ''', 5: @customerIds=@customerIdList') By using the ‘Text’ query type we can enter any arbitrary SQL that we we want to and then use parameters and string concatenation to inject pieces of that query at run time. It can be a bit tricky to parse this out at first glance, but from the SSRS designer’s point of view this query defines three parameters: @customerIdInserts – This will be a Text parameter that we use to define INSERT statements that will populate the @customerIdList variable that is being declared in the SQL. This parameter won’t actually ever get passed into the stored procedure. I’ll go into how this will work in a bit. @startDate – This is a simple date parameter that will get passed through directly into the @startDate parameter of the stored procedure on line 3. @endDate – This is another simple data parameter that will get passed through into the @endDate parameter of the stored procedure on line 4. At this point the dataset designer will be able to correctly parse the query and should even be able to detect the fields that the stored procedure will return without needing to specify any values for query when prompted to. Once the dataset has been correctly defined we’ll have a @customerIdInserts parameter listed in the ‘Parameters’ tab of the dataset designer. We need to define an expression for this parameter that will take the values selected by the user for the ‘@customerIds’ parameter that we defined earlier and convert them into INSERT statements that will populate the @customerIdList variable that we defined in our Text query. In order to do this we’ll need to add some custom code to our report using the ‘Report Properties’ dialog: Any custom code defined in the Report Properties dialog gets embedded into the .rdl of the report itself and (unfortunately) must be written in VB .NET. Note that you can also add references to custom .NET assemblies (which could be written in any language), but that’s outside the scope of this post so we’ll stick with the “quick and dirty” VB .NET approach for now. Here’s the VB .NET code (note that any embedded code that you add here must be defined in a static/shared function, though you can define as many functions as you want): 1: Public Shared Function BuildIntegerListInserts(ByVal variableName As String, ByVal paramValues As Object()) As String 2: Dim insertStatements As New System.Text.StringBuilder() 3: For Each paramValue As Object In paramValues 4: insertStatements.AppendLine(String.Format("INSERT {0} VALUES ({1})", variableName, paramValue)) 5: Next 6: Return insertStatements.ToString() 7: End Function This method takes a variable name and an array of objects. We use an array of objects here because that is how SSRS will pass us the values that were selected by the user at run-time. The method uses a StringBuilder to construct INSERT statements that will insert each value from the object array into the provided variable name. Once this method has been defined in the custom code for the report we can go back into the dataset designer’s Parameters tab and update the expression for the ‘@customerIdInserts’ parameter by clicking on the button with the “function” symbol that appears to the right of the parameter value. We’ll set the expression to: 1: =Code.BuildIntegerListInserts("@customerIdList ", Parameters!customerIds.Value) In order to invoke our custom code method we simply need to invoke “Code.<method name>” and pass in any needed parameters. The first parameter needs to match the name of the IntegerListTableType variable that we used in the EXEC statement of our query. The second parameter will come from the Value property of the ‘@customerIds’ parameter (this evaluates to an object array at run time). Finally, we’ll need to edit the properties of the ‘@customerIdInserts’ parameter on the report to mark it as a nullable internal parameter so that users aren’t prompted to provide a value for it when running the report. Limitations And Final Thoughts When I first started looking into the text query approach described above I wondered if there might be an upper limit to the size of the string that can be used to run a report. Obviously, the size of the actual query could increase pretty dramatically if you have a parameter that has a lot of potential values or you need to support several different table-valued parameters in the same query. I tested the example Customer Transaction Summary report with 1000 selected customers without any issue, but your mileage may vary depending on how much data you might need to pass into your query. If you think that the text query hack is a lot of work just to use a table-valued parameter, I agree! I think that it should be a lot easier than this to use a table-valued parameter from within SSRS, but so far I haven’t found a better way. It might be possible to create some custom .NET code that could build the EXEC statement for a given set of parameters automatically, but exploring that will have to wait for another post. For now, unless there’s a really compelling reason or requirement to use table-valued parameters from SSRS reports I would probably stick with the tried and true “join-multi-valued-parameter-to-CSV-and-split-in-the-query” approach for using mutli-valued parameters in a stored procedure.

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NoSQL Java API for MySQL Cluster: Questions & Answers

- by Mat Keep

The MySQL Cluster engineering team recently ran a live webinar, available now on-demand demonstrating the ClusterJ and ClusterJPA NoSQL APIs for MySQL Cluster, and how these can be used in building real-time, high scale Java-based services that require continuous availability. Attendees asked a number of great questions during the webinar, and I thought it would be useful to share those here, so others are also able to learn more about the Java NoSQL APIs. First, a little bit about why we developed these APIs and why they are interesting to Java developers. ClusterJ and Cluster JPA ClusterJ is a Java interface to MySQL Cluster that provides either a static or dynamic domain object model, similar to the data model used by JDO, JPA, and Hibernate. A simple API gives users extremely high performance for common operations: insert, delete, update, and query. ClusterJPA works with ClusterJ to extend functionality, including - Persistent classes - Relationships - Joins in queries - Lazy loading - Table and index creation from object model By eliminating data transformations via SQL, users get lower data access latency and higher throughput. In addition, Java developers have a more natural programming method to directly manage their data, with a complete, feature-rich solution for Object/Relational Mapping. As a result, the development of Java applications is simplified with faster development cycles resulting in accelerated time to market for new services. MySQL Cluster offers multiple NoSQL APIs alongside Java: - Memcached for a persistent, high performance, write-scalable Key/Value store, - HTTP/REST via an Apache module - C++ via the NDB API for the lowest absolute latency. Developers can use SQL as well as NoSQL APIs for access to the same data set via multiple query patterns – from simple Primary Key lookups or inserts to complex cross-shard JOINs using Adaptive Query Localization Marrying NoSQL and SQL access to an ACID-compliant database offers developers a number of benefits. MySQL Cluster’s distributed, shared-nothing architecture with auto-sharding and real time performance makes it a great fit for workloads requiring high volume OLTP. Users also get the added flexibility of being able to run real-time analytics across the same OLTP data set for real-time business insight. OK – hopefully you now have a better idea of why ClusterJ and JPA are available. Now, for the Q&A. Q & A Q. Why would I use Connector/J vs. ClusterJ? A. Partly it's a question of whether you prefer to work with SQL (Connector/J) or objects (ClusterJ). Performance of ClusterJ will be better as there is no need to pass through the MySQL Server. A ClusterJ operation can only act on a single table (e.g. no joins) - ClusterJPA extends that capability Q. Can I mix different APIs (ie ClusterJ, Connector/J) in our application for different query types? A. Yes. You can mix and match all of the API types, SQL, JDBC, ODBC, ClusterJ, Memcached, REST, C++. They all access the exact same data in the data nodes. Update through one API and new data is instantly visible to all of the others. Q. How many TCP connections would a SessionFactory instance create for a cluster of 8 data nodes? A. SessionFactory has a connection to the mgmd (management node) but otherwise is just a vehicle to create Sessions. Without using connection pooling, a SessionFactory will have one connection open with each data node. Using optional connection pooling allows multiple connections from the SessionFactory to increase throughput. Q. Can you give details of how Cluster J optimizes sharding to enhance performance of distributed query processing? A. Each data node in a cluster runs a Transaction Coordinator (TC), which begins and ends the transaction, but also serves as a resource to operate on the result rows. While an API node (such as a ClusterJ process) can send queries to any TC/data node, there are performance gains if the TC is where most of the result data is stored. ClusterJ computes the shard (partition) key to choose the data node where the row resides as the TC. Q. What happens if we perform two primary key lookups within the same transaction? Are they sent to the data node in one transaction? A. ClusterJ will send identical PK lookups to the same data node. Q. How is distributed query processing handled by MySQL Cluster ? A. If the data is split between data nodes then all of the information will be transparently combined and passed back to the application. The session will connect to a data node - typically by hashing the primary key - which then interacts with its neighboring nodes to collect the data needed to fulfil the query. Q. Can I use Foreign Keys with MySQL Cluster A. Support for Foreign Keys is included in the MySQL Cluster 7.3 Early Access release Summary The NoSQL Java APIs are packaged with MySQL Cluster, available for download here so feel free to take them for a spin today! Key Resources MySQL Cluster on-line demo MySQL ClusterJ and JPA On-demand webinar MySQL ClusterJ and JPA documentation MySQL ClusterJ and JPA whitepaper and tutorial

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When to use SOAP over REST

So, how does REST based services differ from SOAP based services, and when should you use SOAP? Representational State Transfer (REST) implements the standard HTTP/HTTPS as an interface allowing clients to obtain access to resources based on requested URIs. An example of a URI may look like this http://mydomain.com/service/method?parameter=var1&parameter=var2. It is important to note that REST based services are stateless because http/https is natively stateless. One of the many benefits for implementing HTTP/HTTPS as an interface is can be found in caching. Caching can be done on a web service much like caching is done on requested web pages. Caching allows for reduced web server processing and increased response times because content is already processed and stored for immediate access. Typical actions performed by REST based services include generic CRUD (Create, Read, Update, and Delete) operations and operations that do not require state. Simple Object Access Protocol (SOAP) on the other hand uses a generic interface in order to transport messages. Unlike REST, SOAP can use HTTP/HTTPS, SMTP, JMS, or any other standard transport protocols. Furthermore, SOAP utilizes XML in the following ways: Define a message Defines how a message is to be processed Defines the encoding of a message Lays out procedure calls and responses As REST aligns more with a Resource View, SOAP aligns more with a Method View in that business logic is exposed as methods typically through SOAP web service because they can retain state. In addition, SOAP requests are not cached therefore every request will be processed by the server. As stated before Soap does retain state and this gives it a special advantage over REST for services that need to preform transactions where multiple calls to a service are need in order to complete a task. Additionally, SOAP is more ideal for enterprise level services that implement standard exchange formats in the form of contracts due to the fact that REST does not currently support this. A real world example of where SOAP is preferred over REST can be seen in the banking industry where money is transferred from one account to another. SOAP would allow a bank to perform a transaction on an account and if the transaction failed, SOAP would automatically retry the transaction ensuring that the request was completed. Unfortunately, with REST, failed service calls must be handled manually by the requesting application. References: Francia, S. (2010). SOAP vs. REST. Retrieved 11 20, 2011, from spf13: http://spf13.com/post/soap-vs-rest Rozlog, M. (2010). REST and SOAP: When Should I Use Each (or Both)? Retrieved 11 20, 2011, from Infoq.com: http://www.infoq.com/articles/rest-soap-when-to-use-each

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How to install MariaDB rpms in CentOS 6.4 using rpm (not yum cmd) + handling mysql-libs conflicts

- by Pat C

I need to script the install of MariaDB using the rpm command in CentOS 6.4. I can't use yum since it's going to be an offline install so there's no access to the repository. The only MySQL package installed is mysql-libs as various other packages in CentOS depend on it. When I did a test install of MariaDB with yum it correctly accounted for mysql-libs and uninstalled it at the end as MariaDB could handle the dependencies after it was installed: [root@new-host-6 ~]# yum install MariaDB-client MariaDB-common MariaDB-compat MariaDB-devel MariaDB-server MariaDB-shared Loaded plugins: downloadonly, fastestmirror, refresh-packagekit, security, verify Loading mirror speeds from cached hostfile * base: mirrors.kernel.org * extras: mirror.keystealth.org * updates: mirror.umd.edu Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package MariaDB-client.x86_64 0:5.5.32-1 will be installed ---> Package MariaDB-common.x86_64 0:5.5.32-1 will be installed ---> Package MariaDB-compat.x86_64 0:5.5.32-1 will be obsoleting ---> Package MariaDB-devel.x86_64 0:5.5.32-1 will be installed ---> Package MariaDB-server.x86_64 0:5.5.32-1 will be installed ---> Package MariaDB-shared.x86_64 0:5.5.32-1 will be obsoleting ---> Package mysql-libs.x86_64 0:5.1.66-2.el6_3 will be obsoleted --> Finished Dependency Resolution Dependencies Resolved ==================================================================================================================================================================== Package Arch Version Repository Size ==================================================================================================================================================================== Installing: MariaDB-client x86_64 5.5.32-1 mariadb 10 M MariaDB-common x86_64 5.5.32-1 mariadb 23 k MariaDB-compat x86_64 5.5.32-1 mariadb 2.7 M replacing mysql-libs.x86_64 5.1.66-2.el6_3 MariaDB-devel x86_64 5.5.32-1 mariadb 5.6 M MariaDB-server x86_64 5.5.32-1 mariadb 34 M MariaDB-shared x86_64 5.5.32-1 mariadb 1.1 M replacing mysql-libs.x86_64 5.1.66-2.el6_3 Transaction Summary ==================================================================================================================================================================== Install 6 Package(s) Total download size: 53 M Is this ok [y/N]: y Downloading Packages: (1/6): MariaDB-5.5.32-centos6-x86_64-client.rpm | 10 MB 00:06 (2/6): MariaDB-5.5.32-centos6-x86_64-common.rpm | 23 kB 00:00 (3/6): MariaDB-5.5.32-centos6-x86_64-compat.rpm | 2.7 MB 00:02 (4/6): MariaDB-5.5.32-centos6-x86_64-devel.rpm | 5.6 MB 00:06 (5/6): MariaDB-5.5.32-centos6-x86_64-server.rpm | 34 MB 00:23 (6/6): MariaDB-5.5.32-centos6-x86_64-shared.rpm | 1.1 MB 00:00 -------------------------------------------------------------------------------------------------------------------------------------------------------------------- Total 1.3 MB/s | 53 MB 00:40 warning: rpmts_HdrFromFdno: Header V4 DSA/SHA1 Signature, key ID 1bb943db: NOKEY Retrieving key from https://yum.mariadb.org/RPM-GPG-KEY-MariaDB Importing GPG key 0x1BB943DB: Userid: "Daniel Bartholomew (Monty Program signing key) <[email protected]>" From : https://yum.mariadb.org/RPM-GPG-KEY-MariaDB Is this ok [y/N]: y Running rpm_check_debug Running Transaction Test Transaction Test Succeeded Running Transaction Warning: RPMDB altered outside of yum. Installing : MariaDB-compat-5.5.32-1.x86_64 1/7 Installing : MariaDB-common-5.5.32-1.x86_64 2/7 Installing : MariaDB-server-5.5.32-1.x86_64 3/7 chown: cannot access `/var/lib/mysql': No such file or directory PLEASE REMEMBER TO SET A PASSWORD FOR THE MariaDB root USER ! To do so, start the server, then issue the following commands: '/usr/bin/mysqladmin' -u root password 'new-password' '/usr/bin/mysqladmin' -u root -h new-host-6 password 'new-password' Alternatively you can run: '/usr/bin/mysql_secure_installation' which will also give you the option of removing the test databases and anonymous user created by default. This is strongly recommended for production servers. See the MariaDB Knowledgebase at http://kb.askmonty.org or the MySQL manual for more instructions. Please report any problems with the '/usr/bin/mysqlbug' script! The latest information about MariaDB is available at http://mariadb.org/. You can find additional information about the MySQL part at: http://dev.mysql.com Support MariaDB development by buying support/new features from Monty Program Ab. You can contact us about this at [email protected]. Alternatively consider joining our community based development effort: http://kb.askmonty.org/en/contributing-to-the-mariadb-project/ Installing : MariaDB-devel-5.5.32-1.x86_64 4/7 Installing : MariaDB-client-5.5.32-1.x86_64 5/7 Installing : MariaDB-shared-5.5.32-1.x86_64 6/7 Erasing : mysql-libs-5.1.66-2.el6_3.x86_64 7/7 Verifying : MariaDB-common-5.5.32-1.x86_64 1/7 Verifying : MariaDB-server-5.5.32-1.x86_64 2/7 Verifying : MariaDB-devel-5.5.32-1.x86_64 3/7 Verifying : MariaDB-client-5.5.32-1.x86_64 4/7 Verifying : MariaDB-compat-5.5.32-1.x86_64 5/7 Verifying : MariaDB-shared-5.5.32-1.x86_64 6/7 Verifying : mysql-libs-5.1.66-2.el6_3.x86_64 7/7 Installed: MariaDB-client.x86_64 0:5.5.32-1 MariaDB-common.x86_64 0:5.5.32-1 MariaDB-compat.x86_64 0:5.5.32-1 MariaDB-devel.x86_64 0:5.5.32-1 MariaDB-server.x86_64 0:5.5.32-1 MariaDB-shared.x86_64 0:5.5.32-1 Replaced: mysql-libs.x86_64 0:5.1.66-2.el6_3 Complete! My question is, what is the equivalent way to install the MariaDB packages using the rpm command only as opposed to yum? If I do rpm -ivh MariaDB*.rpm, I will get a ton of messages like the following about conflicts with mysql-libs: file /etc/my.cnf from install of MariaDB-common-5.5.32-1.x86_64 conflicts with file from package mysql-libs-5.1.66-2.el6_3.x86_64 file /usr/share/mysql/charsets/Index.xml from install of MariaDB-common-5.5.32-1.x86_64 conflicts with file from package mysql-libs-5.1.66-2.el6_3.x86_64 I then used the --force option to install the MariaDB rpms and uninstalled mysql-lib, I didn't get any weird messages but I'm not sure that is the cleanest method to handle the conflicts and do the install. So can someone confirm that installing MariaDB with the following rpm commands would be the same as using yum to install the packages and handle mysql-libs conflicts/removal: rpm -ivh --force MariaDB*.rpm rpm -e mysql-libs Thanks for any input!

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Best tools to build an auction website

- by Daniel Loureiro

Can I get your feedback on the best tools to build an auction website with the following features: The site takes a commission (like 5%) on each transaction Each user can assign a rating (like 4.5 stars) to his completed transaction, and comment on the seller's profile. Accept payments in paypal and credit card I've been looking into Joomla! and JomSocial but they haven't convinced me much so far. I have some programming experience in C, Python and Java. If no CMS tools are of use I'd appreaciate if you could tell the best route to take in programming to get the auction site done.

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Reproducing a Conversion Deadlock

- by Alexander Kuznetsov

Even if two processes compete on only one resource, they still can embrace in a deadlock. The following scripts reproduce such a scenario. In one tab, run this: CREATE TABLE dbo.Test ( i INT ) ; GO INSERT INTO dbo.Test ( i ) VALUES ( 1 ) ; GO SET TRANSACTION ISOLATION LEVEL SERIALIZABLE ; BEGIN TRAN SELECT i FROM dbo.Test ; --UPDATE dbo.Test SET i=2 ; After this script has completed, we have an outstanding transaction holding a shared lock. In another tab, let us have that another connection have...(read more)

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[JAVA]How to make my Oracle update/insert action through JAVA faster?

- by gunbuster363

[JAVA]How to make my Oracle update/insert action through JAVA faster? Hi everyone, I am facing a problem in my company that is - our program's speed is not fast enough. To be more specific, we are telecommunication company and this program handle call/internet serfing transaction made by every mobile phone users in our city. Because the amount of download content made by the iphone users is just too much, our program cannot handle them fast enough. The situation is, the amount of transaction made by users are double of the transaction processed by our program. Most of the running time of the program are dominated by DB transactions. I've search through the internet and browsed some sites ( for example: http://www.javaperformancetuning.com/tips/rawtips.shtml ) talking about java performace in DB, but I cannot find a suggestion suitable for us. these advices are not applicable/already used, for instance: 1)Use prepared statements. Use parametrized SQL Already used prepared statement. Each time will use different parameter by clear parameters and set parameters. 2)Tune the SQL to minimize the data returned (e.g. not 'SELECT *'). Sure, already used. 3)Use connection pooling. We hold a single connection during the program's execution. And I doubt that pooling cannot solve the problem because our program act as 1 user, so there are no problem for concurrent access to DB. If anyone of you think pooling is good, please tell me why. Thanks. 4)Try to combine queries and batch updates. Cannot do it. Every query/insert/update is depend on the database's information. For example, we look up the DB for the client's information, if we cannot find his usage, we insert the usage into DB, otherwise we do update. 5)Close resources (Connections, Statements, ResultSets) when finished Sure. 6)Select the fastest JDBC driver. I don't know. I've search on the internet about the type of driver available and I am very confused. We use oracle.jdbc.driver.OracleDriver and we use thin instead of oci, that's all I know. In addition, our program is a two-tier way ( java <- oracle ) 7)turn off auto-commit already done that. Looking forwards to any helps, thank you very much.

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How to deal with transactions when creating a database connection for each query

- by webnoob

In line with this post here I am going to change my website to create a connection per query to take advantage of .NET's connection pooling. With this in mind, I don't know how I should deal with transactions. At the moment I do something like (psuedo code): GlobalTransaction = GlobalDBConnection.BeginTransaction(); try { ExecSQL("insert into table ..") ExecSQL("update some_table ..") .... GlobalTransaction.Commit(); }catch{ GlobalTransaction.Rollback(); throw; } ExecSQL would be like this: using (SqlCommand Command = GlobalDBConnection.CreateCommand()) { Command.Connection = GlobalDBConnection; Command.Transaction = GlobalTransaction; Command.CommandText = SQLStr; Command.ExecuteNonQuery(); } I'm not quite sure how to change this concept to deal with transactions if the connection is created within ExecSQL because I would want the transaction to be shared between both the insert and update routines.

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.NET DAL and arhitecture

- by Parhs

I have seen lots of articles but none really help me. That is because I want to use dapper as a DAL. Should I create repositories with special functions? Like getStaffActive()? If I use repositories I can implement with dapper-extension a generic crud I have no idea how to handle database connection. Where to open the connection? If I do this at every function then how am I supposed to use transaction scope? Somehow the repositories I work with should share a connection in order transaction to work. But how to do this? Openning connection in BLL? If I use queries and execute them directly then still the same thing.

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How and what setting do you use in order to create your customized application with database? [closed]

- by FullmetalBoy

I have a homemade project combining with application and database. Today I'm using architecture N-tier. Totally I have 4 project in my solution in VS2010. The fourth project is a transaction layer that connect all the 3 project (one for presentation, business logic and database layer) in order to retrieve data from the database and all the way to present the data in presentation layer. Transaction layer contains entity framework 4 + customized class to carry data to the presentation layer. I always use LINQ to retrieve data in database layer. From my experience, everytime I use LINQ in relation with entity framework it always take a lot of time to retrieve data because what I believe is that my entity framework always has to reload everytime when I want to retrieve any data from the database. My question for you guys is: When you create your application connecting to a database, what architecture do you use? How do you retrieve the data from you application? Is it entity framework etc?

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How to make my Oracle update/insert action through Java faster?

- by gunbuster363

I am facing a problem in my company that is - our program's speed is not fast enough. To be more specific, we are telecommunication company and this program handle call/internet serfing transaction made by every mobile phone users in our city. Because the amount of download content made by the iphone users is just too much, our program cannot handle them fast enough. The situation is, the amount of transaction made by users are double of the transaction processed by our program. Most of the running time of the program are dominated by DB transactions. I've search through the internet and browsed some sites ( for example: http://www.javaperformancetuning.com/tips/rawtips.shtml ) talking about Java performace in DB, but I cannot find a suggestion suitable for us. These advices are not applicable/already used, for instance: 1. Use prepared statements. Use parameterized SQL Already used prepared statement. Each time will use different parameter by clear parameters and set parameters. 2. Tune the SQL to minimize the data returned (e.g. not 'SELECT *'). Sure, already used. 3. Use connection pooling. We hold a single connection during the program's execution. And I doubt that pooling cannot solve the problem because our program act as 1 user, so there are no problem for concurrent access to DB. If anyone of you think pooling is good, please tell me why. Thanks. 4. Try to combine queries and batch updates. Cannot do it. Every query/insert/update is depend on the database's information. For example, we look up the DB for the client's information, if we cannot find his usage, we insert the usage into DB, otherwise we do update. 5. Close resources (Connections, Statements, ResultSets) when finished Sure. 6. Select the fastest JDBC driver. I don't know. I've search on the internet about the type of driver available and I am very confused. We use oracle.jdbc.driver.OracleDriver and we use thin instead of oci, that's all I know. In addition, our program is a two-tier way ( java <- oracle ) 7. Turn off auto-commit already done that. Looking forwards to any help.

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Should I create repositories with special functions like getStaffActive()?

- by Parhs

I have seen lots of articles but none really help me. That is because I want to use dapper as a DAL. Should I create repositories with special functions? Like getStaffActive()? If I use repositories I can implement with dapper-extension a generic crud I have no idea how to handle database connection. Where to open the connection? If I do this at every function then how am I supposed to use transaction scope? Somehow the repositories I work with should share a connection in order transaction to work. But how to do this? Openning connection in BLL? If I use queries and execute them directly then still the same thing.

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News: "Announcing Oracle Exadata V2"

Oracle unveils Oracle Exadata V2, the first database machine for online transaction processing.

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