pentaho insert update performance

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MySQL Development performance Research--insert,replace,insert-update performance comparison

, Replace the row with the same data (that is, the direct original value overrides). Multi-line replace empty table--use "Replace INSERT into ... VALUES (..), (..), (..), ... "To insert data into an empty table. insert-duplicate--using INSERT into. VALUES (..), (..), (..), ... On DUPLICATE KEY

Plsql_ Performance Optimization Series 08_oracle Insert/direct Insert performance optimization

Pk_test_table does not have a partition, resulting in the modification of the same index block, which results in tx-index contention and buffer busy waits.After rebuilding the pk_test_table to a hash partition index, buffer busy waits and enq:tx-index contention are not in top events.2. Many processes insert, report ora-00060 Dead lock ErrorInsert/update/delete operation, although the line is blocked, but

Does MySql Delete and update operations affect performance? mysql Delete and update Performance

Does MySql Delete and update operations affect performance? mysql Delete and update Performance The cost of Delete and update operations is usually higher than that of insert operations. Therefore, a good design requires less data

Eloquent batch update multiple records (update when there is, insert when there is no)

following functions are implemented: 1. update the original data in batches when the query conditions exist; For example, when email = 'AAA @ example.com ', when 'age' is changed to 20, when email = 'BBB @ example.com', 'age' is changed to 25 ,... 2. if the query condition does not exist, insert data in batches. For example, when email = 'CCC @ example.com ', 'age' is changed to 50 ,... My code is: Public

Eloquent batch update of multiple records (update when present, insert when not present)

= $request->all(); foreach ($datas as $key=> $data) { $user = User::where('email', $data['email'])->first(); if (!$user) { $insert_array[] = $data; // 更新原数据 } else { $user->email = $data['email']; $user->age = $data['age']; $user->save(); } } // 批量插入数据 User::insert($insert_array);} The above code, when the update data for more than thousand pen, there is a

Performance comparison of insert and direct insert execution using stored procedures

comparison | stored Procedure | performance | execution Recently wrote a program to import IP and the region of the list of a plain text file into the database, the first use is to execute the INSERT statement directly with SqlCommand, and then know that SQL Server can optimize the stored procedures, eliminating the time to parse the statement, Faster than using INSERT

MySQL improves Insert performance and mysqlinsert Performance

INSERT operation executed with 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

SQL Update update performance analysis for different field types

';For ($i =0 $i $k 1 = rand (10000,300000);$k 2 = rand (0,3);$k 3 = rand (1,100000);mysql_query ("INSERT into $table (Key1,key2,key3) VALUES ('") $k 1. "', '". $k 2 "', '". $k 3. "", $db);}?> Description: Create 1000000 (100W) record with data size of 16.2 MB 3, the test parameter type is the case of the digital type The code is as follows Copy Code mysql> Update tes

MySQL Insert syntax considerations (on DUPLICATE KEY UPDATE)

especially useful for multi-row insertions. The VALUES () function is only in the INSERT ... The UPDATE statement makes sense, and returns NULLat other times. Example: INSERT into table (a,b,c) VALUES (4,5,6) On DUPLICATE KEY UPDATE c=values (a) +values (b); This statement works the same as the following two stateme

Several things about MySQL insert (delayed,ignore,on DUPLICATE KEY UPDATE) _mysql

() function is only in the insert ... is meaningful in the UPDATE statement and returns null at other times. Example: mysql> INSERT into table (a,b,c) VALUES (1,2,3), (4,5,6) -> on DUPLICATE KEY UPDATE c=values (a) +values (b); This statement acts the same as the following two statements: mysql>

mysql-php large batch Insert and update issues

-volume data insertions occur when data is imported from the old database, but this kind of import is usually only once, so it is not too serious, other such as the import of data from the uploaded CSV file needs to see the specific business logic, the more common is to use Try/catch to insert, the failure of the data display , let the user confirm the overwrite, and then update. 1) If you can ensure that

Oracle uses merge to update or insert data (Summary)

Oracle uses merge to update or insert data (Summary) under Java code summary. Using merge is much faster than traditional first judgment and then selecting insert or update. 1) The main function is to UPDATE and insert data to the

C # batch insert and update of massive data in China Sea [Top]

For the insertion and update of massive data, ADO. NET is indeed inferior to JDBC, and JDBC has a unified model for batch operations.Very convenient:Preparedstatement PS = conn. preparestatement ("insert or update arg1, args2 ....");Then you canFor (INT I = 0; I PS. setxxx (realarg );.....PS. addbatch ();If (I % 500 = 0) {// assume that five hundred entries are s

Batch insert and update massive data in C #

Http://blog.csdn.net/axman/article/details/2200840 For the insertion and update of massive data, ADO. NET is indeed inferior to JDBC, and JDBC has a unified model for batch operations.Very convenient:Preparedstatement PS = conn. preparestatement ("insert or update arg1, args2 ....");Then you canFor (INT I = 0; I PS. setxxx (realarg );.....PS. addbatch ();If (I %

MySQL replace into and insert ... On DUPLICATE KEY Update usage

' (' id ', ' table_na Me ', ' action ') VALUES (NULL, ' replace_into ', ' insert_after '); CREATE TRIGGER ' Update_after_trigger ' after update on ' Replace_into ' for each ROW insert INTO ' trigger_log ' (' id ', ' table_na Me ', ' action ') VALUES (NULL, ' replace_into ', ' update_after '); CREATE TRIGGER ' Delete_after_trigger ' after delete on ' Replace_into ' for each ROW

Oracle DML Statement (insert, update, delete) rollback Estimation

Oracle DML Statement (insert, update, delete) rollback Estimation 1. Introduction to Oracle dml SQL rollback Logic Database transactions consist of one or more DML (insert, update, delete) SQL statements. We know that the Oracle database uses the Undo tablespace to store transaction rollback information during DML ope

Update if mysql processing exists, and insert if not (multiple columns of unique indexes)

When mysql processes a unique index, it updates the index. If it does not exist, it should be 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 this unique index is a unique index for multiple columns. Method 1: use? INSERTINTO? ON... DUPLICATEKEYUPDATE...: The table is created as follows: C When mysql processes a unique index, it updates the index. If

MongoDB database Insert, UPDATE, and delete operations detailed _mongodb

the specified property and creates it if the key does not exist. $set modifier: A value that specifies a key and creates it if it does not exist. $push: Array modifier, if the specified key exists, adds an element to the end of the existing array, and the key does not exist, a new array is created. 3, Upsert operation The Upsert operation has saveorupdate functionality, and if no document meets the update criteria, create a new document bas

MongoDB database Insert, UPDATE, and delete operations detailed

property and creates it if the key does not exist. $set modifier: A value that specifies a key and creates it if it does not exist. $push: Array modifier, if the specified key exists, adds an element to the end of the existing array, and the key does not exist, a new array is created. 3, Upsert operation The Upsert operation has saveorupdate functionality, and if no document meets the update criteria, create a new document based on the

jdbc-BULK INSERT, bulk delete, batch update

performance improvement, but rather slower than not using batch, of course, this may be related to the implementation of the specific JDBC driver. The attachment is my test code that can be used to run on my own computer. The main thing to do when performing bulk inserts is to automatically commit the cancellation, so that it doesn't matter whether the batch syntax is in JDBC or not. Java code Conn.setautocommit (false) Second, the JDBC batch

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