今天我们来描述Oracle中启用IO如何设置。首先要检查操作系统上,异步io的相关包是否已经安装,如果没有的话,通过rpm进行安装,并
今天我们来描述Oracle中启用IO如何设置。
首先要检查操作系统上,异步io的相关包是否已经安装,如果没有的话,通过rpm进行安装,并检查系统上异步io的参数设置:
[oracle@localhost ~]$ rpm -qa|grep aio
libaio-0.3.107-10.el6.x86_64
libaio-devel-0.3.107-10.el6.x86_64
[oracle@localhost ~]$ more /proc/sys/fs/aio-max-nr
1048576
然后检查数据库在链接时是否已经加载了aio的包:
[oracle@localhost ~]$ /usr/bin/ldd $ORACLE_HOME/bin/oracle | grep libaio
libaio.so.1 => /lib64/libaio.so.1 (0x0000003e13000000)
如果没有看到libaio的包,说明Oracle没有链接aio,那么这时就需要重新make oracle的可执行文件,9i的方法为:
make -f ins_rdbms.mk async_on
make -f ins_rdbms.mk ioracle
10g以后的方法为:
make PL_ORALIBS=-laio -f ins_rdbms.mk async_on
编译完成后,操作系统的设置完成,,还需要设置数据库的初始化参数:
SQL> show parameter disk_asynch_io
NAME TYPE VALUE
------------------------------------ -------------------------------- --------------------
disk_asynch_io boolean TRUE
SQL> show parameter filesystemio_options
NAME TYPE VALUE
------------------------------------ -------------------------------- ------------------
filesystemio_options string none
对于裸设备而言,这样的设置就足够了,但是对于文件系统而言,还需要讲filesystemio_options设置为ASYNCH并重启数据库:
SQL> ALTER SYSTEM SET FILESYSTEMIO_OPTIONS = ASYNCH SCOPE = SPFILE;
System altered.
合理的安排设置参数的顺序,可减少数据库的重启次数。这是因为编译oracle可执行文件的时候也要关闭数据库。
更多Oracle相关信息见Oracle 专题页面 ?tid=12

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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