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If mysql processes an index, it is updated. If there is no index, it is inserted (multiple columns of unique indexes). If there is no index, It is very common to insert the index, there are many similar articles on the Internet. Today I will talk about the problems and methods that may occur when the unique index is a unique index of multiple columns. Method 1: Use
INSERT INTO ON ... DUPLICATE KEY
Oracle + Mybatis implements batch insert, update, and delete sample code, and mybatis sample code
Preface
Mybatis is a commonly used data persistence framework in web engineering development. Through this framework, we can easily add, delete, modify, and query databases. When a database connection commits a transaction, it consumes a lot of resources. If you need to ins
My question: How to implement BULK INSERT and update operations under MyBatis.
My confusion:
1, seemingly mybatis does not support the XML configuration in the SQL with a semicolon ";", which requires as far as possible in the configuration through a SQL statement implementation;
2, different databases can be supported by the batch insert SQL statements are diff
This is a very common requirement. When we insert a record into a table, if the record already exists (usually with the same primary key/other conditions), we should not insert the record repeatedly, instead, update the record.
Therefore, our original idea is generally to have such a stored procedure/method/SQL, first determine whether the record exists, and then
Insert or update in MySQL (similar to Oracle's merge statement), oraclemerge
If the record does not exist in MySQL, insert the statement. If the record does not exist, update the statement. You can use the following statement:
Update a field:
collection is modified in the execution of the pending index.
The second is called "one-time update index", which is an option to insert, UPDATE, and delete operations. The SQL Server query optimizer will decide which one to use to optimize performance. If you are modifying most of the rows in a table, you are l
=session.begintransaction ();String hql= "Update user user set user.age=20 where user.age=18";Query queryupdate=session.createquery (HQL);int ret=queryupdate.executeupdate ();Trans.commit ();In this way we can in the Hibernate3, one-time to complete the batch data update, the performance of the improvement is considerable. It is also possible to complete the dele
=session.begintransaction ();String hql= "Update user user set user.age=20 where user.age=18";Query queryupdate=session.createquery (HQL);int ret=queryupdate.executeupdate ();Trans.commit ();In this way we can in the Hibernate3, one-time to complete the batch data update, the performance of the improvement is considerable. It is also possible to complete the dele
Hibernate SQL Optimization Tips use dynamic-insert= "true" dynamic-update= "true"
Recently, I was reading Hibernate's father's masterpiece "Java Persistence with Hibernate", quite a harvest. In our familiar hibernate mapping file is also a great deal, a lot of places worth my attention.The class tag of the hibernate mapping file uses Dynamic-insert,dynamic-
can be inserted into the database one time, so that only submitted once to the database, performance can be improved a lot. Note here that, for different databases, the configuration in Mapper.xml is not the same, I use oracle,oracle BULK Insert record writing method is not the same as Sqlserver,mysql, see an Oracle Example:First, join the interface in the Datamapper.java interface class:int Batchinsert (l
If a record is required to be implemented in MySQL, insert is not present, and the update operation does not exist. You can use the following statement:
To update a field:
INSERT into TBL (COLUMNA,COLUMNB,COLUMNC) VALUES (1,2,3) on DUPLICATE KEY UPDATE columna=if (Colu
Scenario: In a previous Test sermon, a colleague directly generated an INSERT statement using NAVICAT from the lookup results, supporting the batch generation of statements.Application scenarios: Automation, performance testing initialization data . Directly from the existing library to query the required data content, and then generate the corresponding INSERT s
For transaction TABLES, BEGIN and COMMIT should be used instead of lock tables to speed up insertion. Locking also reduces the overall time for multi-connection testing, although the maximum wait time for them to wait for LOCK will increase. For example:
Connection 1 does 1000 inserts Connections 2, 3, and 4 do 1 insert Connection 5 does 1000 inserts
If no lock is used, 2, 3, and 4 are completed before 1 and 5. If locking is used, 2, 3, and 4 may not
DBMS_ROWID to view the data block where the row is located. The same block is inserted for the same session, but not for different sessions. It's too simple.Performance problems caused by improper setting of high watermark and putfree values -- hot blocks cause buffer busy waits to wait for the event to insert a piece of data, what is the performance problem of buffer busy waits when only data blocks below
perspective, then you will see the following scenes:Figure 1.1:LEVELDB StructureAs can be seen, the composition of the LEVELDB static structure consists of six parts, in-memory memtable and immutable memtable, the current file on disk, the log file, the manifest file, and the Sstable file. the storage flow is as follows:
When inserting a key-value data, LEVELDB first inserts the data into the log file (append), and then writes the memtable in a successful way, guaranteeing both efficie
UPDATE
1, the first backup data (security, improve performance).
2, batch update, small batch submission, to prevent the lock table.
3, if the updated automatically indexed, the amount of updated data is very large, the first to cancel the index, and then recreate.
4, the whole table data update, if the table i
multiple statements
This improves the performance because the index cache is refreshed to the disk only once after all INSERT statements are completed. Generally, the number of INSERT statements is the index cache refresh. If you can use one statement to insert all rows, you do not need to lock them. For transaction T
The rational use of batch inserts and updates has a great effect on performance optimization, and the speed is obviously N times faster.
Pay attention to the new addition of the database connection string: allowMultiQueries = true, which means that a SQL can be split into multiple independent SQLs by a semicolon.
The maximum limit of batch insertion is mainly based on the length of your entire SQL, so you can configure the number of each batch to b
the modified property in the user class.
================testsaveuser=================
Hibernate:insert into Users values (?)
================testupdateuser=================
Hibernate:insert into Users values (?)
Hibernate:update Users set firstname=? where id=?
If the structure of a table is complex and there are many fields, the use of dynamic-insert,dynamic-update can imp
For the massive data inserts and updates, ADO. NET is not really as good as JDBC, JDBC has a unified model for batch operations. Use it.Very convenient:PreparedStatement PS = conn.preparestatement ("Insert or update arg1,args2 ...");And then you canfor (int i=0;iPs.setxxx (REALARG);.....Ps.addbatch ();if (i%500==0) {//Suppose 500 submit oncePs.executebatch ();Clear Parame Batch}}Ps.executebatch ();This oper
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