sql server bulk insert

static void Update (String connstring, DataTable table){SqlConnection conn = new SqlConnection (connstring);SqlCommand COMM = conn. CreateCommand ();Comm.commandtimeout = _commandtimeout;Comm.commandtype = CommandType.Text;SqlDataAdapter adapter = new SqlDataAdapter (comm);SqlCommandBuilder Commandbulider = new SqlCommandBuilder (adapter);Commandbulider.conflictoption = conflictoption.overwritechanges;Try{Conn. Open ();Set the number of processing bars per batch updateAdapter. UpdateBatchSize =

Open function--to-allow advanced options to be changed.EXEC sp_configure ' show advanced options ', 1GO--To update the currently configured value for advanced options. RECONFIGUREGO--to enable the feature. EXEC sp_configure ' xp_cmdshell ', 1GO--To update the currently configured value for this feature.RECONFIGUREGOMaster.. xp_cmdshell ' net use \\192.168.0.126\ftpfiles 12345678/user:server\administrator 'Tip: Execution of the command completes successfully. For example: Master. xp_cmdshell ' ne

follows Copy Code Delete from a where exists (Select 1 from a where a=1) The above method only applies to the simple small data volume of bulk data deletion, if it is a large number of data removal we can refer to the following methods The code is as follows Copy Code Create PROCEDURE Batch_delete@TableName nvarchar (100),--table name@FieldName nvarchar (100),--delete field name@DelCharIn

}, #{item.contnamecom,jdbctype=varchar},#{item.updatetime,jdbctype=timestamp})SQL 2 BULK INSERT, table set as primary key self-growing INSERT INTO Monitor_log (monitor_id, Monitor_date, Monitor_stats, Monitor_info, monitor_product_id, Monitor_repair_date, Monitor_repair_userid) Values

"; dc. Unique=false; Dt. Columns.Add (DC); DC=NewDataColumn (); dc. DataType= System.Type.GetType ("System.Int32"); dc. ColumnName="C3"; dc. Unique=false; Dt. Columns.Add (DC); DC=NewDataColumn (); dc. DataType= System.Type.GetType ("System.Int32"); dc. ColumnName="C4"; dc. Unique=false; Dt. Columns.Add (DC); StreamReader SR=NewStreamReader (@"D:\work\test.txt"); stringinput; while(input = Sr. ReadLine ())! =NULL) { string[] s = input. Split (New Char[] {'|' }); Dr=dt.

Label:MySQL Bulk SQL Insert performance optimizationsPosted by Kiki TitaniumOn December 7, 2012 For some systems with large data volume, the problem of database is not only inefficient, but also the data storage time is long. Especially like a reporting system, the time spent on data import every day can be as long as a few hours or more than 10 hours. Therefo

+ transaction + ordered data in the data volume up to tens performance is still good, in a large amount of data, ordered data index positioning is more convenient, do not need to read and write the disk frequently, so can maintain high performance. Precautions:1. SQL statements are limited in length, and in the same SQL the data merge must not exceed the SQL len

. From the test results, the performance of the optimization method has improved, but the improvement is not very obvious. Comprehensive Performance Testing:The test for Insert efficiency optimization using the above three methods is provided here. From the test results can be seen, the method of merging data + transactions in the small amount of data, performance improvement is very obvious, when the data is large (more than 10 million), performance

Label:MyBatis directly execute SQL queries and BULK INSERT dataFirst, execute SQL query directly: 1. mappers file Excerpt ResultmapId= "Acmodelresultmap"Type= "Com.izumi.InstanceModel">ResultColumn="InstanceidProperty= "InstanceID"Jdbctype= "VARCHAR"/>resultcolumn= " instancename "property = "instancename" jdbctype = "

--Use table-valued parameters to bulk insert data into another data tableUse Df17datapro--Create and use table-valued parameter steps/*1. Create a table type and define the table structure.For information about how to create a SQL Server type, see user-defined table types. For more information about how to define the t

number of insert bars is greater than 1000, the 3 kinds of insertions make a big difference, the time spent on stitching SQL statements is greatly increased, and transaction processing takes about 1/2 of the time spent in a single insert.Let's look at what it looks like when the number of records is less than 1000: we can see that when the number of records is less than 100, the efficiency of splicing

resources. The index positioning efficiency of the inserted record will be decreased, and there will be frequent disk operation when the data volume is large.Comprehensive Performance Testing :The test for Insert efficiency optimization using the above three methods is provided here.From the test results can be seen, the method of merging data + transactions in the small amount of data, performance improvement is very obvious, when the data is large

); } } //3. Bulk execution of SQL or saving objects Batchexecutesql (recordlist); return null; } public static int batchexecutesql (arraylist System.out.println ("can then execute SQL statements or save objects"); System.out.println ("======== bulk Execute SQL