db2 query tuning

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Query the clob column of db2 in Java

Use the following code in java to query the clob column of db2 (conn. createStatement (ResultSet. TYPE_SCROLL_INSENSITIVE, ResultSet. CONCUR_READ_ONLY )) Use the following code in java to query the clob column of db2 (conn. createStatement (ResultSet. TYPE_SCROLL_INSENSITIVE, ResultSet. CONCUR_READ_ONLY )) Use t

Database Tuning Tutorial (iii) record slow query

Tags: performance optimization slow query MySQL database tuning databasefirst, find slow query The last thing we do is to prepare for the occurrence of slow queries, which allows us to find slow queries and record them in a file .. 3. Record Slow queries At this point we already have the cost of making the slow query

Different databases: oracle mysql SQL Server DB2 infomix sybase paging query statement, infomixsybase

Different databases: oracle mysql SQL Server DB2 infomix sybase paging query statement, infomixsybase Paging query statements used in different databases: Current page: currentpagePage size: pagesize 1. Oracle Database Select * from (select A. *, rownum rn from (QUERY_ SQL) A) where rn Note: QUERY_ SQL is a query SQL

DB2 Common Syscat Query

--Query the corresponding view of the specific content. Select varchar (text) | | '; ' from Syscat. views where VIEWNAME like '%v$_% ' --generates a statement that deletes a view. Select ' Drop View ' | | viewname| | '; ' from Syscat. Views where VIEWNAME like '%v$_% ' --Do you want to find all the patterns in the entire database? The following statement can implement: --The query

DB2 SQL query result set automatic numbering, return bar number range control research

DB2 SQL query result set automatic numbering, return bar number range control ResearchSummary:the DB2 SQL statement implements the record of the query automatically numbering, and further realizes the record range control according to the number, the paging query. Environmen

Common methods to improve DB2 query performance

Brief introduction With the increasing application of DB2, more and more database developers are confronted with the problem that the query is too complicated and the performance is difficult to be accepted in the process of project development. This article will mainly from a database developer's point of view introduces several commonly used methods to improve the performance of

Database Query Tuning

Label:1. SELECT clauseIn sufficient cases, you can select only columns with indexes that are very fastIf unnecessary, selecting only the columns you want to view will increase your speed.2. FROM clauseWhen you use join, you can directly join the table, and if the join subquery, the temporary table generated by the subquery is not indexed, so it can cause slow speed, and the direct join table can increase the speed.Use different joins depending on the situation to increase the speed of queries an

DB2 Materialized View (Materialized Query Tables, MQT), materializedmqt

DB2 Materialized View (Materialized Query Tables, MQT), materializedmqt The Materialized View of DB2 MQT is a table defined based on the query results. The data contained in the MQT comes from one or more tables based on the MQT definition, using MQT can significantly improve the q

Database Tuning Tutorial (iii) record slow query

at this timeOpen log file discovery occurrence recordLater, you can only check the log file periodically to find the slow query statement.Attention:After finding the slow query statement, to confirm the slow query by repeatedly using the SELECT statement, note that only SELECT statements can be used, even if the original statement is delete or update, etc., also

Database Tuning Tutorial (i) preface & slow query definition

slow query, is there a quantitative standard? Slow query definition A slow query is an SQL statement that executes longer than a slow query time. How to view slow query times [Plain]View Plaincopy Show variables like ' long_query_time '; You can display

Database query performance tuning and indexing optimization

Query performance tuning is a big topic, where the technology involved is very broad, but we can generally divide it into the following levels: 1. Reduce data access. The related technique is to create an appropriate index that converts time-consuming operations such as full table scans, index scans (scan), to index lookups (seek). Establish the correct index, can make the database

Oracle-db2-sqlserver-mysql Database time conversion query table structure

Label:ORACLE : --Time Turn string To_char (sysdate, ' Yyyymmddhh24miss ') --String Turn time Select To_date (' 20140701125751 ', ' Yyyymmddhh24miss ') from dual--2014-07-01 12:57:51 --Query table SELECT * FROM all_tables WHERE table_name = ' {0} ' --Query column SELECT Aa.table_name as Tableename, Aa.column_name as ColName, NVL (Bb.comments, aa.column_name) as Coldesc From ( SELECT TABLE_NAME, COLUMN_NAME,

SQL Server Tuning Series Advanced (query statements run several indicator value monitoring)

ObjectiveIn the previous article, we analyzed how the query optimizer works, including: detailed operation steps of the query optimizer, analysis of filter conditions, optimization of index items, and other information.In this article we analyze the detection of several key indicator values in the course of our operation.These indicator values are analyzed to analyze the operation of the statement and to an

DB2 materialized view (materialized Query Tables, Mqts)

DB2 materialized view Mqts are based on a table defined by the query result, and the MQT contains data from one or more tables on which the MQT definition is based, and using MQTS can significantly improve the operation performance of the query. The views and mqts for the database are defined based on a query. The

Replace count query with sum in DB2

In DB2, the sum function used to replace the count query is to calculate and sum the column values. The www.2cto.com count function accumulates the columns that meet the conditions and adds one when the conditions are met. The count function is commonly used to count the number of records meeting a certain condition. For example, count the number of boys in student in the student information table: [SQL] se

Database Tuning tutorial (2) Prepare slow query data and optimize Databases

Database Tuning tutorial (2) Prepare slow query data and optimize Databases 1. Slow query found In the previous section, we talked about the definition of slow queries. This section describes how to create a large table and prepare data for slow queries. 2. Prepare slow query data To find slow queries, you must first

Introduction to paging query in Oracle, SQL, and DB2

The paging query method for Oracle, SQL, and DB2 is different from that for paging query statements in Oracle and SQL, the following describes the differences between DB2 paging query and paging query in other databases. Oracle pa

DB2 database materialized Views: Use of materialized query tables for MQTS

Materialized query tables using MQTS (materialized query tables, MQTS) The definition of an MQT is based on the results of the query. Mqts can significantly improve the performance of queries. This tutorial introduces Mqts, Summary tables (summary table), and staging tables, and shows you how to create and use materialized q

Database Mysql-oracle-db2-sqlserver Paging Query

1. mysql Paging query(1) Keyword: LIMIT beginindex, MaxRow(2) Example:The limit clause can be used to limit the amount of data returned by the SELECT statement, which has one or two parameters. If two arguments are given, the first parameter specifies the position of the first row returned in all data, starting with 0 (note not 1), and the second parameter specifies the maximum number of rows to return. For example:-- starting from Beginindex line,

Like fuzzy query for oracle, mysql, db2, and SQL server in Mybatis, mybatisdb2

Like fuzzy query for oracle, mysql, db2, and SQL server in Mybatis, mybatisdb2 Different database languages: SQL server, Oracle, mysql, db2'' There are too many database system types. To put it simply, ACESS is suitable for small websites. asp and MYSQL are recommended for new websites. SQL Server is suitable for medium-sized websites and PHP is recommended for

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