参考 http://www.itpub.net/viewthread.php?tid=845777&extra=&page=1
Analyze Statement The ANALYZE statement can be used to gather statistics for a specific table, index or cluster. The statistics can be computed exactly, or estimated based on a specific number of rows, or a percentage of rows:
ANALYZE TABLE employees COMPUTE STATISTICS; ANALYZE INDEX employees_pk COMPUTE STATISTICS;
ANALYZE TABLE employees ESTIMATE STATISTICS SAMPLE 100 ROWS; ANALYZE TABLE employees ESTIMATE STATISTICS SAMPLE 15 PERCENT;
DBMS_UTILITY The DBMS_UTILITY package can be used to gather statistics for a whole schema or database. Both methods follow the same format as the analyze statement:
EXEC DBMS_UTILITY.analyze_schema('SCOTT','COMPUTE'); EXEC DBMS_UTILITY.analyze_schema('SCOTT','ESTIMATE', estimate_rows => 100); EXEC DBMS_UTILITY.analyze_schema('SCOTT','ESTIMATE', estimate_percent => 15);
EXEC DBMS_UTILITY.analyze_database('COMPUTE'); EXEC DBMS_UTILITY.analyze_database('ESTIMATE', estimate_rows => 100); EXEC DBMS_UTILITY.analyze_database('ESTIMATE', estimate_percent => 15);
DBMS_STATS The DBMS_STATS package was introduced in Oracle 8i and is Oracles preferred method of gathering object statistics. Oracle list a number of benefits to using it including parallel execution, long term storage of statistics and transfer of statistics between servers. Once again, it follows a similar format to the other methods:
EXEC DBMS_STATS.gather_database_stats; EXEC DBMS_STATS.gather_database_stats(estimate_percent => 15);
EXEC DBMS_STATS.gather_schema_stats('SCOTT'); EXEC DBMS_STATS.gather_schema_stats('SCOTT', estimate_percent => 15);
EXEC DBMS_STATS.gather_table_stats('SCOTT', 'EMPLOYEES'); EXEC DBMS_STATS.gather_table_stats('SCOTT', 'EMPLOYEES', estimate_percent => 15);
EXEC DBMS_STATS.gather_index_stats('SCOTT', 'EMPLOYEES_PK'); EXEC DBMS_STATS.gather_index_stats('SCOTT', 'EMPLOYEES_PK', estimate_percent => 15); This package also gives you the ability to delete statistics:
EXEC DBMS_STATS.delete_database_stats; EXEC DBMS_STATS.delete_schema_stats('SCOTT'); EXEC DBMS_STATS.delete_table_stats('SCOTT', 'EMPLOYEES'); EXEC DBMS_STATS.delete_index_stats('SCOTT', 'EMPLOYEES_PK');
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自从Oracle8.1.5引入dbms_stats包,Experts们便推荐使用dbms_stats取代analyze。 理由如下
dbms_stats可以并行分析 dbms_stats有自动分析的功能(alter table monitor ) analyze 分析统计信息的不准确some times
1,2好理解,且第2点实际上在VLDB中是最吸引人的;3以前比较模糊,看了metalink236935.1 解释,analyze在分析Partition表的时候,有时候会计算出不准确的Global statistics .
原因是,dbms_stats会实在的去分析表全局统计信息(当指定参数);而analyze是将表分区(局部)的statistics 汇总计算成表全局statistics ,可能导致误差。
如果想分析整个用户或数据库,还可以采用工具包,可以并行分析 Dbms_utility(8i以前的工具包) Dbms_stats(8i以后提供的工具包) 如 dbms_stats.gather_schema_stats(User,estimate_percent=>100,cascade=> TRUE); dbms_stats.gather_table_stats(User,TableName,degree => 4,cascade => true);
这是对命令与工具包的一些总结
1、对于分区表,建议使用DBMS_STATS,而不是使用Analyze语句。 a) 可以并行进行,对多个用户,多个Table b) 可以得到整个分区表的数据和单个分区的数据。 c) 可以在不同级别上Compute Statistics:单个分区,子分区,全表,所有分区 d) 可以倒出统计信息 e) 可以用户自动收集统计信息
2、DBMS_STATS的缺点 a) 不能Validate Structure b) 不能收集CHAINED ROWS, 不能收集CLUSTER TABLE的信息,这两个仍旧需要使用Analyze语句。 c) DBMS_STATS 默认不对索引进行Analyze,因为默认Cascade是False,需要手工指定为True
3、对于oracle 9里面的External Table,Analyze不能使用,只能使用DBMS_STATS来收集信息。
----------------------------------------------------------------- 10G的文档是这么说的: Do not use the COMPUTE and ESTIMATE clauses of ANALYZE to collect optimizer statistics. These clauses are supported for backward compatibility. Instead, use the DBMS_STATS package, which lets you collect statistics in parallel, collect global statistics for partitioned objects, and fine tune your statistics collection in other ways. The cost-based optimizer, which depends upon statistics, will eventually use only statistics that have been collected by DBMS_STATS
analyze的功能已经明确: Use the ANALYZE statement (rather than DBMS_STATS) for statistics collection not related to the cost-based optimizer :
To use the VALIDATE or LIST CHAINED ROWS clauses
To collect information on freelist blocks
在收集与CBO优化器不相关的统计信息的时候ANALYZE语句要优于DBMS_STATS包
----------------------------------- EX: begin for owner in (select username from dba_users where username not in ('SYS','SYSTEM')) loop dbms_output.disable; dbms_output.enable(1000000); dbms_output.put_line('Schema: '||owner.username); select sysdate into start_time from dual; dbms_output.put_line('Analyze start from : '||start_time); dbms_stats.gather_schema_stats(ownname => owner.username, estimate_percent => 20, block_sample=> true, cascade=>true); select sysdate into end_time from dual; dbms_output.put_line('Analyze complete at : '||end_time); dbms_output.put_line('---------------------------'); end loop;
dbms_stats.gather_table_stats(ownname =>, tabname =>, partname =>, estimate_percent =>, block_sample =>, method_opt =>, degree =>,parallel degree(并行收集维度) 看CPU个数 granularity =>, cascade =>,true is also gather columns and index’s statistics; no_invalidate =>);
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