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我有一个在 grails(1.1.1) 上用 groovy 开发的应用程序。我在 datasource.groovy 代码片段中使用了 MySQL 服务器的休眠启用池配置数据源，如下所示-

hibernate {
cache.use_second_level_cache=true
cache.use_query_cache=true
cache.provider_class='com.opensymphony.oscache.hibernate.OSCacheProvider'
}

environments {
development {
    dataSource {
                    logSql = true
        dbCreate = "update" // one of 'create', 'create-drop','update'
                    url = "jdbc:mysql://<dev-server-ip>:3306/<db-name>"                        
    }
}
test {
    dataSource {
        dbCreate = "update"
                    url = "jdbc:mysql://<test-server-ip>:3306/<db-name>"                        
    }
}
production {
    dataSource {
        dbCreate = "update"         
                    url = "jdbc:mysql://<prod-server-ip>:3306/<db-name>"                        
    }
}

用于连接到另一个 MS SQL Server 2005。我定义了一个具有以下连接设置的服务类

    def connection = Sql.newInstance(
        "jdbc:sqlserver://<mssql-db-server-ip>;databaseName=<db-name>",
        '<username>',
        '<password>',
        'com.microsoft.sqlserver.jdbc.SQLServerDriver')

我知道这个连接不是池连接。并在我每次使用此连接检索数据时创建会话。那么，是否有任何机制可以在服务类中创建池连接？

当我使用此 ms sql 服务器连接从服务类运行查询以选择数据查询时

String pullData() {
    def userId = "sample_user"
def testData = connection.firstRow("select distinct (COLUMN_NAME1+' > '+replace(COLUMN_NAME2,' > ', '>')+' > '+COLUMN_NAME3+' > '+COLUMN_NAME4+' > '+EMAIL) testRow from VIEW_NAME where lower(substring(EMAIL,1,(select charindex('@',EMAIL))-1 )) = lower(?)",[userId])

def myStringList = testData.testRow.split(' > ')
def myTestDataList = myStringList[4].split('@')
def email = myTestDataList[0]
return email
}

我有一个例外。堆栈跟踪是

org.codehaus.groovy.runtime.InvokerInvocationException: java.lang.reflect.UndeclaredThrowableException
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:290)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationDispatcher.invoke(ApplicationDispatcher.java:646)
at org.apache.catalina.core.ApplicationDispatcher.processRequest(ApplicationDispatcher.java:436)
at org.apache.catalina.core.ApplicationDispatcher.doForward(ApplicationDispatcher.java:374)
at org.apache.catalina.core.ApplicationDispatcher.forward(ApplicationDispatcher.java:302)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at jcifs.http.NtlmHttpFilter.doFilter(NtlmHttpFilter.java:125)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206)
at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:233)
at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191)
at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127)
at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:102)
at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109)
at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:298)
at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:859)
at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:588)
at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489)
at java.lang.Thread.run(Thread.java:636)
Caused by: java.lang.reflect.UndeclaredThrowableException
at PullDataService$$EnhancerByCGLIB$$881a39b3.pullData(<generated>)
at PullDataService$$FastClassByCGLIB$$f8a1c77f.invoke(<generated>)
at net.sf.cglib.proxy.MethodProxy.invoke(MethodProxy.java:149)
... 33 more
Caused by: com.microsoft.sqlserver.jdbc.SQLServerException: Connection timed out
at com.microsoft.sqlserver.jdbc.SQLServerConnection.terminate(SQLServerConnection.java:1368)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.terminate(SQLServerConnection.java:1355)
at com.microsoft.sqlserver.jdbc.TDSChannel.write(IOBuffer.java:1548)
at com.microsoft.sqlserver.jdbc.TDSWriter.flush(IOBuffer.java:2368)
at com.microsoft.sqlserver.jdbc.TDSWriter.writePacket(IOBuffer.java:2270)
at com.microsoft.sqlserver.jdbc.TDSWriter.endMessage(IOBuffer.java:1877)
at com.microsoft.sqlserver.jdbc.TDSCommand.startResponse(IOBuffer.java:4403)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.doExecutePreparedStatement(SQLServerPreparedStatement.java:386)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement$PrepStmtExecCmd.doExecute(SQLServerPreparedStatement.java:338)
at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:4026)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLServerConnection.java:1416)
at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeCommand(SQLServerStatement.java:185)
at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeStatement(SQLServerStatement.java:160)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.executeQuery(SQLServerPreparedStatement.java:281)
at PullDataService.pullData(PullDataService.groovy:38)
at PullDataService$$FastClassByCGLIB$$7ff09ca7.invoke(<generated>)
at net.sf.cglib.proxy.MethodProxy.invoke(MethodProxy.java:149)
... 40 more

请帮助我，我受了很长时间的痛苦。任何建议都是可观的。提前致谢。

4

1 回答 1

0

我可以看到有几件事会减慢此查询的速度。主要是您根据一堆不同的字段创建一个字符串列并在其上调用 distinct。Distinct 不需要，因为您只使用第一个结果，并且不需要其他列，因为您只关心电子邮件。考虑这样的事情：

    def userId = "sample_user".toLowerCase()
    def testData = connection.firstRow("select top 1 EMAIL as email" +
             " from VIEW_NAME" +
             " where lower(EMAIL) like ?",[userId + "@%"])
    def email = testData?.email?.split('@')[0]
    return email

由于 like 子句，它仍然可能很慢，但应该比使用 distinct 快得多。

您可能需要考虑在您的视图/基础表中添加一列，以便在电子邮件地址列中有一个单独的用户 ID 列。

于 2012-07-04T23:02:20.073 回答