ocm考试新题中,需要创建keep存储的表,但在该参数是否应该修改上,有一些分歧,有人说asmm会自动给keep分配内存的,该参数就不用设置了。 看文档和asktom,也是云山雾罩,说什么的都有,还是来实际的测试吧: SQL col COMPONENT for a30SQL select COMPONEN
ocm考试新题中,需要创建keep存储的表,但在该参数是否应该修改上,有一些分歧,有人说asmm会自动给keep分配内存的,该参数就不用设置了。
看文档和asktom,也是云山雾罩,说什么的都有,还是来实际的测试吧:
SQL> col COMPONENT for a30 SQL> select COMPONENT,CURRENT_SIZE/1024/1024||'MB' MB from V_$SGA_DYNAMIC_COMPONENTS where COMPONENT in ('DEFAULT buffer cache','KEEP buffer cache'); COMPONENT MB ------------------------------ ------------------------------------------ DEFAULT buffer cache 352MB KEEP buffer cache 0MB SQL> conn hr/hr Connected. SQL> drop table t1 purge; Table dropped. SQL> create table t1 as select * from employees; Table created. SQL> insert into t1 select * from t1; 107 rows created. SQL> / 214 rows created. SQL> / 428 rows created. SQL> / 856 rows created. SQL> / 1712 rows created. SQL> / 3424 rows created. SQL> / 6848 rows created. SQL> / 13696 rows created. SQL> commit; Commit complete. SQL> col SEGMENT_NAME for a10 SQL> select SEGMENT_NAME,BYTES/1024/1024||'mb' MB from user_segments where SEGMENT_NAME='T1'; SEGMENT_NA MB ---------- ------------------------------------------ T1 3mb SQL> alter table t1 storage( buffer_pool keep); Table altered. --造了一张3m的keep表 SQL> set autot on SQL> select count(*) from t1; COUNT(*) ---------- 27392 Execution Plan ---------------------------------------------------------- Plan hash value: 3724264953 ------------------------------------------------------------------- | Id | Operation | Name | Rows | Cost (%CPU)| Time | ------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 85 (0)| 00:00:02 | | 1 | SORT AGGREGATE | | 1 | | | | 2 | TABLE ACCESS FULL| T1 | 26589 | 85 (0)| 00:00:02 | ------------------------------------------------------------------- Note ----- - dynamic sampling used for this statement --做全表扫描,没有物理读,说明是从之前的插入语句读取的数据,并做了240次递归 Statistics ---------------------------------------------------------- 240 recursive calls 1 db block gets 421 consistent gets 0 physical reads 176 redo size 413 bytes sent via SQL*Net to client 385 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 4 sorts (memory) 0 sorts (disk) 1 rows processed SQL> select count(*) from t1; COUNT(*) ---------- 27392 Execution Plan ---------------------------------------------------------- Plan hash value: 3724264953 ------------------------------------------------------------------- | Id | Operation | Name | Rows | Cost (%CPU)| Time | ------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 85 (0)| 00:00:02 | | 1 | SORT AGGREGATE | | 1 | | | | 2 | TABLE ACCESS FULL| T1 | 26589 | 85 (0)| 00:00:02 | ------------------------------------------------------------------- Note ----- - dynamic sampling used for this statement --第二次全表扫描已经没有递归了,说明数据已经存入内存,并整齐摆放了 Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 310 consistent gets 0 physical reads 0 redo size 413 bytes sent via SQL*Net to client 385 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed SQL> set autot off SQL> conn / as sysdba Connected. SQL> select COMPONENT,CURRENT_SIZE/1024/1024||'MB' MB from V_$SGA_DYNAMIC_COMPONENTS 2 where COMPONENT in ('DEFAULT buffer cache','KEEP buffer cache'); COMPONENT MB ------------------------------ ------------------------------------------ DEFAULT buffer cache 352MB KEEP buffer cache 0MB --查看内存,整齐摆放的数据并未在keep内存里,说明在default里 SQL> alter system set db_keep_cache_size=12m; System altered. SQL> select COMPONENT,CURRENT_SIZE/1024/1024||'MB' MB from V_$SGA_DYNAMIC_COMPONENTS 2 where COMPONENT in ('DEFAULT buffer cache','KEEP buffer cache'); COMPONENT MB ------------------------------ ------------------------------------------ DEFAULT buffer cache 340MB KEEP buffer cache 12MB --开辟keep内存 SQL> conn hr/hr Connected. SQL> set autot on SQL> select count(*) from t1; COUNT(*) ---------- 27392 Execution Plan ---------------------------------------------------------- Plan hash value: 3724264953 ------------------------------------------------------------------- | Id | Operation | Name | Rows | Cost (%CPU)| Time | ------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 85 (0)| 00:00:02 | | 1 | SORT AGGREGATE | | 1 | | | | 2 | TABLE ACCESS FULL| T1 | 26589 | 85 (0)| 00:00:02 | ------------------------------------------------------------------- Note ----- - dynamic sampling used for this statement --重新做全表扫描,优化器虽然已经发现内存default里有数据,但是keep内存开辟了,表又是keep的,但keep里没找到数据 --所以在此强制做了物理读 --说明keep参数为0的时候,表虽然是keep的,但数据还是在default里的,keep的大小并未被asmm自动分配 Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 310 consistent gets 307 physical reads 0 redo size 413 bytes sent via SQL*Net to client 385 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed SQL> select count(*) from t1; COUNT(*) ---------- 27392 Execution Plan ---------------------------------------------------------- Plan hash value: 3724264953 ------------------------------------------------------------------- | Id | Operation | Name | Rows | Cost (%CPU)| Time | ------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 85 (0)| 00:00:02 | | 1 | SORT AGGREGATE | | 1 | | | | 2 | TABLE ACCESS FULL| T1 | 26589 | 85 (0)| 00:00:02 | ------------------------------------------------------------------- Note ----- - dynamic sampling used for this statement Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 310 consistent gets 0 physical reads 0 redo size 413 bytes sent via SQL*Net to client 385 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed SQL> spool off如果考keep,该参数,还是打开了吧,recycle同理

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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