Oracle 执行计划更改导致数据加工未完成
使用use_hash hint或使用outlines稳固执行计划, 因为时间原因,最后采用了使用hint的方式。hash join 不仅解决了nested loops连
现象:job一直运行,抽取一直在运行,,通过过程中的日志记录定位到是因为抽取X系统数据一直卡着。但是查询正在执行的sql,没有任何结果,抽取这部分数据一直运行了一天,还未完。
因为定位不到是哪条sql在运行,于是停job,手动运行这部分的数据抽取,运行时间与正常抽取的时间相近,之前查看系统cpu,io均没有异常,怀疑是因为这部分sql的执行计划改变所致。
调出系统中的执行计划与手动运行的sql的执行计划进行对比,一条sql的执行计划在月初由hash join 变为nested loops。
--1.由于定位了sql,查找sql的sql_id
select sql_id,address,plan_hash_value,hash_value,child_number,sql_text from v$sql
where sql_text like 'INSERT INTO XXX%'
--2.dba_hist_sql_plan视图显示了历史的执行计划,TIMESTAMP字段指该执行计划生成的时间
select * from dba_hist_sql_plan h where sql_id='7sjn92j0k8csm';
每个不同的plan_hash_value值代表一个不同的执行计划。这条对应两个执行计划,在月初的时候新生成了一个计划(连接方式是nested loops),Oracle使用了最新的执行计划。
--3.显示所有详细的执行计划
select plan_table_output from table(dbms_xplan.display_awr('7xh0wcw1qt6d7'));
解决方法:使用use_hash hint或使用outlines稳固执行计划, 因为时间原因,最后采用了使用hint的方式。hash join 不仅解决了nested loops连接中大量随机读取的问题,还解决了排序合并连接中排序代价过大的问题。hash join不同于nested loop按照随机读取的方式进行连接,它需要提前将连接对象集中到一起,然后在内存中按照哈希读取的方式进行连接。排序合并连接可以参考:
查看计划的两种方式:
DBMS_XPLAN.DISPLAY_AWR(
sql_id IN VARCHAR2,
plan_hash_value IN NUMBER DEFAULT NULL,
db_id IN NUMBER DEFAULT NULL,
format IN VARCHAR2 DEFAULT TYPICAL);
sql_id
Specifies the SQL_ID of the SQL statement. You can retrieve the appropriate value for the SQL statement of interest by querying the column SQL_ID in DBA_HIST_SQLTEXT.
DBMS_XPLAN.DISPLAY_CURSOR(
sql_id IN VARCHAR2 DEFAULT NULL,
child_number IN NUMBER DEFAULT NULL,
format IN VARCHAR2 DEFAULT 'TYPICAL');
sql_id
Specifies the SQL_ID of the SQL statement in the cursor cache. You can retrieve the appropriate value by querying the column SQL_ID in V$SQL or V$SQLAREA. Alternatively, you could choose the column PREV_SQL_ID for a specific session out of V$SESSION. This parameter defaults to NULL in which case the plan of the last cursor executed by the session will be displayed.

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
