[步骤]
[15:20:31] -------------------------------------------------------------
CODE:N152031839
Error:11_-2_0_-2146232060
SQL:SELECT DISTINCT Top 200
oi.CustomerID,
oi.OrderCode,
ttr.FilePath
FROM RB_OrderInfo oi WITH(NOLOCK)
LEFT JOIN RB_Transport ts WITH(NOLOCK)
ON oi.CustomerID = ts.CustomerID
AND oi.TransportID = ts.ID
LEFT JOIN RB_Transport_API api WITH(NOLOCK)
ON ts.CustomerID = api.CustomerID
AND ts.Transport_API_ID = api.ID
LEFT JOIN RB_TempTransportRequest ttr WITH(NOLOCK)
ON ttr.OrderCode = oi.OrderCode
AND ttr.CustomerID = oi.CustomerID WHERE oi.CustomerID = @CustomerID AND oi.IsStockOrder = @IsStockOrder AND api.Transport_API_Class = @TransportAPIClass AND ttr.FilePath <>'' AND NOT EXISTS (SELECT 1 FROM RB_OrderDetailsCuttingSurface ocs (NOLOCK)
WHERE ocs.CustomerID = oi.CustomerID
AND ocs.OrderCode = oi.OrderCode)
PARAMS:@CustomerID = 1 ,@IsStockOrder = False ,@TransportAPIClass = 278 ,
MESSAGE:执行超时已过期。完成操作之前已超时或服务器未响应。
TRACE: 在 System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection, Action`1 wrapCloseInAction)
在 System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj, Boolean callerHasConnectionLock, Boolean asyncClose)
在 System.Data.SqlClient.TdsParser.TryRun(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj, Boolean& dataReady)
在 System.Data.SqlClient.SqlDataReader.TryConsumeMetaData()
在 System.Data.SqlClient.SqlDataReader.get_MetaData()
在 System.Data.SqlClient.SqlCommand.FinishExecuteReader(SqlDataReader ds, RunBehavior runBehavior, String resetOptionsString, Boolean isInternal, Boolean forDescribeParameterEncryption, Boolean shouldCacheForAlwaysEncrypted)
在 System.Data.SqlClient.SqlCommand.RunExecuteReaderTds(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, Boolean async, Int32 timeout, Task& task, Boolean asyncWrite, Boolean inRetry, SqlDataReader ds, Boolean describeParameterEncryptionRequest)
在 System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method, TaskCompletionSource`1 completion, Int32 timeout, Task& task, Boolean& usedCache, Boolean asyncWrite, Boolean inRetry)
在 System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method)
在 System.Data.SqlClient.SqlCommand.ExecuteReader(CommandBehavior behavior, String method)
在 System.Data.Common.DbDataAdapter.FillInternal(DataSet dataset, DataTable[] datatables, Int32 startRecord, Int32 maxRecords, String srcTable, IDbCommand command, CommandBehavior behavior)
在 System.Data.Common.DbDataAdapter.Fill(DataSet dataSet, Int32 startRecord, Int32 maxRecords, String srcTable, IDbCommand command, CommandBehavior behavior)
在 System.Data.Common.DbDataAdapter.Fill(DataSet dataSet, String srcTable)
在 RB.DAL.DBOperator.Query(String SQLString, SqlCommand cmd, Int32 Times, SqlParameter[] cmdParms, Boolean IsWriteDB) 在 RB.DAL.DBOperator.toCommonTipException(SqlException ex, String sql, SqlParameter[] cmdParms)
在 RB.DAL.DBOperator.Query(String SQLString, SqlCommand cmd, Int32 Times, SqlParameter[] cmdParms, Boolean IsWriteDB)
在 RB.DALExtendV2.RB_OrderInfoExtendV2.GetNeedCuttingSurfaces(Int32 CustomerId, List`1 transportAPIClassIds)
在 Biz.Irobotbox.Order.CuttingSurfaceSheetService.Execute()
在 ChinaDownLoadImage.Task.Order.Task_CuttingSurfaceSheetService.Execute()
在 RB.Utility.SystemTask.<doTask>b__43_0()
在 System.Threading.Tasks.Task.Execute()
在 System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state, Boolean preserveSyncCtx)
在 System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state, Boolean preserveSyncCtx)
在 System.Threading.Tasks.Task.ExecuteWithThreadLocal(Task& currentTaskSlot)
在 System.Threading.Tasks.Task.ExecuteEntry(Boolean bPreventDoubleExecution)
在 System.Threading.ThreadPoolWorkQueue.Dispatch()
[结果]
[期望]
优化SQL业务 提升性能
处理方案:
1、查询条件更改为订单添加时间在2个月以内
2、RB_TempTransportRequest表做数据归档,根据AddTime近保留三个月内的数据