ORACLE ANALYZE使用小結

 

ANALYZE的介紹html

 

 

  使用ANALYZE能夠收集或刪除對象的統計信息、驗證對象的結構、標識表或cluster中的行遷移/行連接信息等。官方文檔關於ANALYZE功能介紹以下:算法

 

·         Collect or delete statistics about an index or index partition, table or table partition, index-organized table, cluster, or scalar object attribute.sql

 

·         Validate the structure of an index or index partition, table or table partition, index-organized table, cluster, or object reference (REF).oracle

 

·         Identify migrated and chained rows of a table or cluster.app

·          dom

 

 

ANALYZE的使用測試

 

 

ANALYZE TABLE能夠指定分析: 表、全部字段、全部索引字段、全部索引。 若不指定對應對象則表示所有都分析spa

 

 

#徹底分析,採樣100%.net

 

 

ANALYZE TABLE TABLE_NAME COMPUTE STATISTICS;  scala

 

ANALYZE TABLE TABLE_NAME COMPUTE STATISTICS FOR TABLE FOR ALL COLUMNS FOR ALL INDEXES;

 

 

注意:上面二者是等價的。

 

 

 

#抽樣分析,採樣40%

 

 

ANALYZE TABLE TABLE_NAME ESTIMATE STATISTICS SAMPLE 40 PERCENT;

 

對於大表而言,收集統計信息至關於全表掃描,至關耗費時間和資源,能夠用抽樣估算法來收集統計信息,這樣就能夠節省時間和資源,若是不是要求要有精確數據的話,儘可能採用抽樣分析法。能夠指定採樣比例。

 

 

 

分析表統計信息

 

 

#僅僅生成表的statistics,不生成列的直方圖信息

 

ANALYZE TABLE TABLE_NAME COMPUTE STATISTICS FOR TABLE;

 

 

分析索引字段統計信息

 

#分析了表,並僅對錶上的索引列產生histograms

 

ANALYZE TABLE TEST COMPUTE STATISTICS FOR ALL INDEXED COLUMNS;

 

 

分析指定列統計信息

 

 

ANALYZE TABLE TEST COMPUTE STATISTICS FOR  COLUMNS COLUMN_NAME1, COLUMN_NAME2;

 

 

分析全部列統計信息

       

#分析表,同時生成全部列的histograms

 

ANALYZE TABLE TEST COMPUTE STATISTICS FOR ALL COLUMNS;

 

 

 

分析索引統計信息

 

 

#指定索引分析

 

SQL> ANALYZE INDEX INDEX_NAME COMPUTE STATISTICS ;

 

#分析全部索引

 

SQL> ANALYZE TABLE TABLE_NAME COMPUTE STATISTICS FOR ALL INDEXES;

 

 

 

刪除統計信息

 

 

#刪除統計分析數據

ANALYZE TABLE <TABLE_NAME> DELETE STATISTICS;

 

#刪除索引對應的統計信息

ANALYZE INDEX <INDEX_NAME> DELETE STATISTICS;

 

 

#注意:下面這種語法是錯誤的,見過有些文章有介紹這種方法。

ANALYZE TABLE <TABLE_NAME> DELETE STATISTICS FOR TABLE;

ANALYZE TABLE <TABLE_NAME> DELETE STATISTICS FOR ALL INDEXES;

ANALYZE TABLE <TABLE_NAME> DELETE STATISTICS FOR ALL INDEXEXED COLUMNS;

 

#注意:TRUNCATE命令不會修改數據的統計信息,也就是若是咱們想讓CBO利用合理利用數據的統計信息的時候,須要咱們及時的使用ANALYZE命令或者dbms_stats從新統計數據的統計信息

 

 

下面咱們以具體的例子來看看ANALYZE命令會分析、收集那些統計信息:

 

 

SQL> CREATE TABLE TEST
  2  AS
  3  SELECT * FROM DBA_OBJECTS;
SQL> 
SQL> CREATE INDEX IX_TEST_N1 ON TEST( OBJECT_NAME);

 

 

執行sosi.sql檢查統計信息狀況以下所示,只有索引有相關統計信息。

 

 

***********
Table Level
***********
 
 
Table                   Number                 Empty Average    Chain Average Global User           Sample Date
Name                   of Rows   Blocks       Blocks   Space    Count Row Len Stats  Stats            Size MM-DD-YYYY
--------------- -------------- -------- ------------ ------- -------- ------- ------ ------ -------------- ----------
TEST                                                                          NO     NO
 
Column                    Column                       Distinct          Number     Number Global User           Sample Date
Name                      Details                        Values Density Buckets      Nulls Stats  Stats            Size MM-DD-YYYY
------------------------- ------------------------ ------------ ------- ------- ---------- ------ ------ -------------- ----------
OWNER                     VARCHAR2(30)                                                     NO     NO
OBJECT_NAME               VARCHAR2(128)                                                    NO     NO
SUBOBJECT_NAME            VARCHAR2(30)                                                     NO     NO
OBJECT_ID                 NUMBER(22)                                                       NO     NO
DATA_OBJECT_ID            NUMBER(22)                                                       NO     NO
OBJECT_TYPE               VARCHAR2(19)                                                     NO     NO
CREATED                   DATE                                                             NO     NO
LAST_DDL_TIME             DATE                                                             NO     NO
TIMESTAMP                 VARCHAR2(19)                                                     NO     NO
STATUS                    VARCHAR2(7)                                                      NO     NO
TEMPORARY                 VARCHAR2(1)                                                      NO     NO
GENERATED                 VARCHAR2(1)                                                      NO     NO
SECONDARY                 VARCHAR2(1)                                                      NO     NO
NAMESPACE                 NUMBER(22)                                                       NO     NO
EDITION_NAME              VARCHAR2(30)                                                     NO     NO
 
                              B                                        Average     Average
Index                      Tree Leaf       Distinct         Number Leaf Blocks Data Blocks      Cluster Global User    Sample Date
Name            Unique    Level Blks           Keys        of Rows     Per Key     Per Key       Factor Stats  Stats     Size MM-DD-YYYY
--------------- --------- ----- ---- -------------- -------------- ----------- ----------- ------------ ------ -------- ----- ----------
IX_TEST_N1      NONUNIQUE     2  359         44,089         72,408           1           1       37,058 NO     NO      72,408 07-30-2018
 
Index           Column                     Col Column
Name            Name                       Pos Details
--------------- ------------------------- ---- ------------------------
IX_TEST_N1      OBJECT_NAME                  1 VARCHAR2(128)
 
***************
Partition Level
***************
 
***************
SubPartition Level
***************
 
SQL> ANALYZE TABLE TEST DELETE STATISTICS;
SQL> ANALYZE TABLE TEST COMPUTE STATISTICS FOR TABLE; 
SQL> 

 

以下截圖所示,刪除統計信息後,而後只分析、收集表的統計信息(注意和後續截圖對比)

 

clip_image001

 

 

 

分析索引列的統計信息

 

SQL> ANALYZE TABLE TEST COMPUTE STATISTICS FOR ALL INDEXED COLUMNS;

 

 

clip_image002

 

 

分析全部列的統計信息

 

SQL> ANALYZE TABLE TEST COMPUTE STATISTICS FOR ALL COLUMNS;

 

 

clip_image003

 

注意:對全部列都生成直方圖是沒有意義的,只有對WHERE語句中用到的列生成直方圖是有意義的

 

 

 

另外,以前在一篇博客中看到過:新執行的ANALYZE命令會抹掉以前ANALYZE的結果,可是我的測試並無發現這種狀況,不清楚是否跟版本有關係。我的也沒有爲此大量去測試過不一樣環境。

 

 

分析索引的統計信息

 

SQL> ANALYZE TABLE TEST COMPUTE STATISTICS FOR ALL INDEXES;

 

clip_image004

 

 

驗證索引結構

 

 

SQL> ANALYZE INDEX IX_TEST_N1 VALIDATE STRUCTURE;

 

Index analyzed.

 

驗證表結構

 

 

SQL> ANALYZE TABLE TEST VALIDATE STRUCTURE CASCADE;

 

Table analyzed.

          

 

 

ANALYZE使用注意事項

 

 

   When analyzing a table, the database skips all domain indexes marked LOADING or FAILED

 

在收集表的統計信息時,會跳過標記爲Loading Failed 的域索引(全文索引)。

 

 

 

ANALYZE的優點

 

 

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

 

  ANALYZE能夠分析、收集行遷移、行連接的數量,以及freelist blocks數量

 

 當某個索引處於monitoring usage的時候,若是使用DBMS_STATS去分析表而且同時分析索引,會將該索引的v$object_usage.USED 設置爲TRUE,致使監控了N天的可疑索引前功近棄。若是使用ANALYZE,索引的狀態不會被設置爲USE = TRUE。具體參考博客Oracle DBMS_STATS 包 和 Analyze 命令的區別

 

 

 

ANALYZE的限制

 

 

 

Analyzing tables is subject to the following restrictions:

 

You cannot use ANALYZE to collect statistics on data dictionary tables.

 

 不能分析、收集數據字典表統計信息

 

You cannot use ANALYZE to collect statistics on an external table. Instead, you must use the DBMS_STATS package.

 

 不能收集、分析外部表統計信息,只能用DBMS_STATS分析、收集外部表統計信息

 

You cannot use ANALYZE to collect default statistics on a temporary table. However, if you have already created an association between one or more columns of a temporary table and a user-defined statistics type, then you can use ANALYZE to collect the user-defined statistics on the temporary table.

 

不能使用ANLYZE分析、收集臨時表的默認統計信息

 

You cannot compute or estimate statistics for the following column types: REF column types, varrays, nested tables, LOB column types (LOB column types are not analyzed, they are skipped), LONG column types, or object types. However, if a statistics type is associated with such a column, then Oracle Database collects user-defined statistics.

 

不能計算或者估算以下類型列的統計信息:REF column types, varrays, nested tables, LOB column types (LOB column types are not analyzed, they are skipped), LONG column types, or object types

 

You cannot analyze a domain index that is marked IN_PROGRESS or FAILED.

 

 不能分析標記爲失敗或IN_PROGRESS的域索引

 

 ANALYZE命令不能正確地收集分區表的統計信息,而DBMS_STATS包卻能夠ANALYZE命令只會收集最低層次對象的統計信息,而後推導和彙總出高一級的統計信息,好比對於有子分區的分區表而言,它只會先收集子分區統計信息,而後再彙總,推導出分區或表級的統計信息。有的統計信息是能夠從當前對象的下一級對象進行彙總後獲得的,好比表的總行數,能夠由各分區的行數相加獲得。但有的統計信息則不能從下一級對象獲得,好比列上的distinct值數量NUM_DISTINCT以及DESNSITY等。

 

 

 不能並行收集統計信息。

 

 其實瞭解過ANALYZE命令的限制後,基本上就清楚了ANALYZEDBMS_STATS的區別,官方也是推薦使用DBMS_STATS包來收集統計信息,由於DBMS_STATS包收集的更廣,而且更準確。另外,自從Oracle 8i之後ANALYZE具有VALIDATE驗證功能,而且和DBMS_STATS包在功能上進行了劃分,ANALYZE主要負責驗證表和索引的結構以及鏈式行(chained and migrated rows)信息,DBMS_STATS包主要負責統計信息的管理。

 

 

參考資料:

 

 

https://docs.oracle.com/cd/B12037_01/server.101/b10759/statements_4005.htm

https://docs.oracle.com/cd/B28359_01/server.111/b28310/general002.htm

https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/ANALYZE.html#GUID-535CE98E-2359-4147-839F-DCB3772C1B0E

 

https://blog.csdn.net/tianlesoftware/article/details/7055233

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