一 其他池(Java池、流池) Java池,也是系统全局区中一个可选内存区,用于Java程序的解释和执行,大小由参数JAVA_POOL_SIZE决定,也可以动态调整。如果granule是4M,Java池默认是24M;如果granule是16M,默认大小是32M。如果在数据库创建时选择了安装JVM组
一 其他池(Java池、流池)
Java池,也是系统全局区中一个可选内存区,用于Java程序的解释和执行,大小由参数JAVA_POOL_SIZE决定,也可以动态调整。如果granule是4M,Java池默认是24M;如果granule是16M,默认大小是32M。如果在数据库创建时选择了安装JVM组件,那么这个池必须配置。
Java Pool
Java pool memoryis used in server memory for all session-specific Java code and data within theJVM. Java pool memory is used in different ways, depending on the mode in whichOracle Database is running.
The Java PoolAdvisor statistics provide information about library cache memory used for Javaand predict how changes in the size of the Java pool can affect the parse rate.The Java Pool Advisor is internally turned on when statistics_level is set toTYPICAL or higher. These statistics reset when the advisor is turned off.
Streams Pool
The streams poolis used exclusively by Oracle Streams. The Streams pool stores buffered queuemessages, and it provides memory for Oracle Streams capture processes and applyprocesses.
Unless youspecifically configure it, the size of the Streams pool starts at zero. Thepool size grows dynamically as needed when Oracle Streams is used.
二 操作示例
SQL> show parameter java_pool_size; NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ java_pool_size big integer 0 SQL> show parameter streams_pool_size; NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ streams_pool_size big integer 0 SQL> SELECT name, bytes/1024/1024 MB, resizeable from v$sgainfo; NAME MB RES -------------------------------- ---------- --- Fixed SGA Size 1.16557312 No Redo Buffers 2.83203125 No Buffer Cache Size 88 Yes Shared Pool Size 52 Yes Large Pool Size 12 Yes Java Pool Size 4 Yes Streams Pool Size 0 Yes Granule Size 4 No Maximum SGA Size 800 No Startup overhead in Shared Pool 36 No Free SGA Memory Available 640 11 rows selected. --Java池,否则占用共享池一般设置成24M或者32M SQL> alter system set java_pool_size=24M; System altered. SQL> alter system set streams_pool_size=12M; System altered. SQL> show parameter java_pool_size; NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ java_pool_size big integer 24M --10.2开始的版本流池才开始自动管理 --粒度4M,设置成24M,粒度为16M,设置成32M SQL> show parameter streams_pool_size; NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ streams_pool_size big integer 12M --sga中除了log buffer不能被自动管理,需要单独设置大小,其他的比如--shared_pool_size、db_cahe_size、large_pool_size、java_pool_size、--streams_pool_size都可被自动管理,这些池需要设置初始大小。流池在10G R2中自动管理 --sga分配: --1.sga_max_size=内存大小的80% * 2/3
三 总结
1.Java池,也是系统全局区中一个可选内存区,用于Java程序的解释和执行,大小由参数JAVA_POOL_SIZE决定,也可以动态调整。
2.其他池包括Java池和Streams池。
3.可以通过参数java_pool_size 和streams_pool_size查看Java池和流池的大小。
<span><span>我的邮箱</span></span><span>:</span>wgbno27@163.com <span> <span>新浪微博</span></span><span>:</span>@Wentasy27 <span>微信公众平台</span>:JustOracle(微信号:justoracle) <span>IT交流群</span>:336882565(加群时验证 From CSDN XXX) <span>Oracle交流讨论组</span>:https://groups.google.com/d/forum/justoracle <span><strong>By Larry Wen</strong></span>
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The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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