oracle占用cpu过高怎么处理,本文将介绍有关oracle进程CPU占用率过高的问题,需要了解跟多的朋友可以参考下
oracle占用cpu过高怎么处理,本文将介绍有关oracle进程CPU占用率过高的问题,需要了解跟多的朋友可以参考下1:首先使用TOP命令传到占用CPU高的SPID号
PID USERNAME THR PRI NICE SIZE RES STATE TIME CPU COMMAND
3575 oracle 1 12 0 0K 0K run 748.6H 24.98% oracle
3571 oracle 1 22 0 0K 0K sleep 706.2H 22.84% oracle
2:使用DBA账户登录数据库,使用以下SQL语句查询:
SELECT * FROM V$PROCESS WHERE spid=3575;查询到SQL相关信息
3:根据以上查询到的信息使用以下SQL查询:
SELECT sid, program FROM V$SESSION S WHERE EXISTS(SELECT 1 FROM V$PROCESS WHERE spid=3575 AND ADDR = S.PADDR);
可以查询到具体那个客户端查询一直在不断占用ORACLE资源!
最后对这个查询进行处理!
4.根据SID查得SQLITPUB
代码如下:
select sql_textITPUB
from v$sqltext
where a.hashvalue=(select sql_hash_value
from v$session b
where b.SID='&sid')
0order by piece ASC;
根据lockwait字段可以查询当前正在等待的锁的相关信息:
代码如下:
select * from v$lock where kaddr in (select lockwait from v$session where sid= $sid);
(sql_address,sql_hash_value),(prev_sql_addr,prev_hash_value) 根据这两组字段, 可以查询到当前session正在执行的或最近一次执行的sql语句的详细信息:
select * from v$sqltext where address = &sql_address and hash_value = &sql_hash_value;
根据PID查SQL相关信息:
代码如下:
select id,serial# ,username,osuser,machine,program,process,to_char(logon_time,'yyyy/mm/dd hh24:mi:ss') logon from v$session where paddr in ( select addr from v$process where spid in('&pid'));
根据PID查SQL语句
代码如下:
SELECT a.username,a.machine,a.program,a.sid,a.serial#,a.status,c.piece,c.sql_text FROM v$session a,v$process b,v$sqltext c WHERE b.spid='&spid' AND b.addr=a.paddr AND a.sql_address=c.address(+) ORDER BY c.piece;
得到进程的sid号:
代码如下:
select id,serial# ,username,osuser,machine,program,process,to_char(logon_time,'yyyy/mm/dd hh24:mi:ss') logon from v$session where paddr in ( select addr from v$process where spid in('&pid'));
得到session的sqltext语句:
代码如下:
select sql_text from v$sqltext_with_newlines where hash_value in (select SQL_HASH_VALUE from v$session where paddr in (select addr from v$process where spid= '&pid')) order by piece;

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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