Oracle中如何将一个普通表转换为分区表

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👉 本文共约14550个字,系统预计阅读时间或需55分钟。

前言部分

导读和注意事项

各位技术爱好者,看完本文后,你可以掌握如下的技能,也可以学到一些其它你所不知道的知识,~O(∩_∩)O~:

① 将一个普通表转换为分区表的常用方法(重点)

② 在线重定义的使用

③ ctas和insert的优化

④ DML语句如何开启并行操作,如何查看DML是否开启了并行

相关参考文章链接

参考文档都是MOS上How to Partition a Non-partitioned / Regular / Normal Table (文档 ID 1070693.6),已上传到云盘,大家可自行下载。

本文简介

本文介绍了4种非分区表转换为分区表的几种方法,参考文档来自于MOS。

将普通表转换成分区表有4种方法,这个在MOS文档上有说明(How to Partition a Non-partitioned / Regular / Normal Table (文档 ID 1070693.6)):

1. Export/import method

2. Insert with a subquery method

3. Partition exchange method

4. DBMS_REDEFINITION

非分区表转换为分区表的4种方法

Export/import method

采用逻辑导出导入很简单,首先在源库建立分区表,然后将数据导出,然后导入到新建的分区表即可,

1) 导出表:exp usr/pswd tables=numbers file=exp.dmp

2) 删除表:drop table numbers;

3) 重建分区表的定义:

create table numbers (qty number(3), name varchar2(15))

partition by range (qty)

(partition p1 values less than (501),

partition p2 values less than (maxvalue));

  1. 利用ignore=y来导入分区表:imp usr/pswd file=exp.dmp ignore=y

示例

创建普通表并插入测试数据

LHR@dlhr> CREATE TABLE T (ID NUMBER PRIMARY KEY, TIME DATE);

Table created.

LHR@dlhr> INSERT INTO T SELECT ROWNUM, CREATED FROM DBA_OBJECTS;

87069 rows created.

LHR@dlhr> commit;

Commit complete.

LHR@dlhr> select to_char(t.time, 'YYYYMM'), COUNT(1)

2 from t

3 group by to_char(t.time, 'YYYYMM');

TO_CHA COUNT(1)

------ ----------

201310 85984

201605 1107

采用expdp导出表

ZFXDESKDB2:oracle:/tmp>expdp \'/ as sysdba\' directory=DATA_PUMP_DIR dumpfile=lhr_t.dmp INCLUDE=TABLE:\"IN \(\'T\'\)\" SCHEMAS=LHR LOGFILE=expdp_T.log

Export: Release 11.2.0.4.0 - Production on Fri May 27 11:07:46 2016

Copyright (c) 1982, 2011, Oracle and/or its affiliates. All rights reserved.

Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production

With the Partitioning, Real Application Clusters, OLAP, Data Mining

and Real Application Testing options

Starting "SYS"."SYS_EXPORT_SCHEMA_01": "/******** AS SYSDBA" directory=DATA_PUMP_DIR dumpfile=lhr_t.dmp INCLUDE=TABLE:"IN ('T')" SCHEMAS=LHR LOGFILE=expdp_T.log

Estimate in progress using BLOCKS method...

Processing object type SCHEMA_EXPORT/TABLE/TABLE_DATA

Total estimation using BLOCKS method: 2 MB

Processing object type SCHEMA_EXPORT/TABLE/TABLE

Processing object type SCHEMA_EXPORT/TABLE/CONSTRAINT/CONSTRAINT

. . exported "LHR"."T" 1.406 MB 87091 rows

Master table "SYS"."SYS_EXPORT_SCHEMA_01" successfully loaded/unloaded

******************************************************************************

Dump file set for SYS.SYS_EXPORT_SCHEMA_01 is:

/oracle/app/oracle/admin/dlhr/dpdump/lhr_t.dmp

Job "SYS"."SYS_EXPORT_SCHEMA_01" successfully completed at Fri May 27 11:07:57 2016 elapsed 0 00:00:11

删除原表,创建一个分区表结构:

LHR@dlhr> drop table t;

Table dropped.

LHR@dlhr> CREATE TABLE T (ID NUMBER PRIMARY KEY, TIME DATE )

2 PARTITION BY RANGE (TIME)

3 (PARTITION T1 VALUES LESS THAN (TO_DATE('201311', 'YYYYMM')),

4 PARTITION T2 VALUES LESS THAN (TO_DATE('201606', 'YYYYMM')),

5 PARTITION T3 VALUES LESS THAN (MAXVALUE))

6 ;

Table created.

LHR@dlhr>

导入到分区表

ZFXDESKDB2:oracle:/tmp>impdp \'/ as sysdba\' directory=DATA_PUMP_DIR dumpfile=lhr_t.dmp SCHEMAS=LHR table_exists_action=APPEND LOGFILE=impdp_T.log

Import: Release 11.2.0.4.0 - Production on Fri May 27 11:12:40 2016

Copyright (c) 1982, 2011, Oracle and/or its affiliates. All rights reserved.

Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production

With the Partitioning, Real Application Clusters, OLAP, Data Mining

and Real Application Testing options

Master table "SYS"."SYS_IMPORT_SCHEMA_01" successfully loaded/unloaded

Starting "SYS"."SYS_IMPORT_SCHEMA_01": "/******** AS SYSDBA" directory=DATA_PUMP_DIR dumpfile=lhr_t.dmp SCHEMAS=LHR table_exists_action=APPEND LOGFILE=impdp_T.log

Processing object type SCHEMA_EXPORT/TABLE/TABLE

Table "LHR"."T" exists. Data will be appended to existing table but all dependent metadata will be skipped due to table_exists_action of append

Processing object type SCHEMA_EXPORT/TABLE/TABLE_DATA

. . imported "LHR"."T" 1.406 MB 87091 rows

Processing object type SCHEMA_EXPORT/TABLE/CONSTRAINT/CONSTRAINT

Job "SYS"."SYS_IMPORT_SCHEMA_01" successfully completed at Fri May 27 11:12:46 2016 elapsed 0 00:00:05

查询导入后的情况:

SYS@dlhr> select to_char(t.time, 'YYYYMM'), COUNT(1)

2 from t

3 group by to_char(t.time, 'YYYYMM');

TO_CHA COUNT(1)

------ ----------

201310 85984

201605 1083

SYS@dlhr> SELECT D.TABLE_OWNER,D.TABLE_NAME,D.PARTITION_NAME FROM DBA_TAB_PARTITIONS d WHERE d.table_name='T';

TABLE_OWNER TABLE_NAME PARTITION_NAME

------------------------------ ------------------------------ ------------------------------

LHR T T1

LHR T T2

LHR T T3

SYS@dlhr>

利用原表重建分区表(插入)

这种方法的特点是:

优点:方法简单易用,由于采用DDL语句,不会产生UNDO,且只产生少量REDO,效率相对较高,而且建表完成后数据已经在分布到各个分区中了。

不足:对于数据的一致性方面还需要额外的考虑。由于几乎没有办法通过手工锁定T表的方式保证一致性,在执行CREATE TABLE语句和RENAME T_NEW TO T语句直接的修改可能会丢失,如果要保证一致性,需要在执行完语句后对数据进行检查,而这个代价是比较大的。另外在执行两个RENAME语句之间执行的对T的访问会失败。

适用于修改不频繁的表,在闲时进行操作,表的数据量不宜太大。

主要有2种方式,ctas和insert方式,下边分别介绍:

例一:CTAS+RENAME

利用CTAS语法在创建分区表的时候可以一起插入数据,也可以创建好表结构再insert 进去。 CTAS这种方法采用DDL语句,不产生UNDO,只产生少量REDO,建表完成后数据已经在分布到各个分区中。

创建普通表并插入测试数据

LHR@dlhr> CREATE TABLE T (ID NUMBER PRIMARY KEY, TIME DATE);

Table created.

LHR@dlhr> INSERT INTO T SELECT ROWNUM, CREATED FROM DBA_OBJECTS;

87069 rows created.

LHR@dlhr> commit;

Commit complete.

LHR@dlhr> select to_char(t.time, 'YYYYMM'), COUNT(1)

2 from t

3 group by to_char(t.time, 'YYYYMM');

TO_CHA COUNT(1)

------ ----------

201310 85984

201605 1085

创建一个分区表,注意这里的分区表的列后边没有数据类型:

LHR@dlhr> CREATE TABLE T_NEW (ID, TIME) PARTITION BY RANGE (TIME)

2 (PARTITION T1 VALUES LESS THAN (TO_DATE('201311', 'YYYYMM')),

3 PARTITION T2 VALUES LESS THAN (TO_DATE('201606', 'YYYYMM')),

4 PARTITION T3 VALUES LESS THAN (MAXVALUE))

5 AS SELECT ID, TIME FROM T;

Table created.

LHR@dlhr>

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