Sybase数据库,普通表修改分区表步骤

2019-05-24 20:28:39 浏览数 (3)

本文目标:指导项目侧人员再遇到此类改动需求时可以自己参照更改。 需求:Sybase数据库,普通表t_jingyu修改为按天分区的分区表。

1.sp_help查看t_jingyu的表结构,索引等信息

代码语言:javascript复制
sp_help t_jingyu
go

提示:可以直接用DBArtisan工具Extract原建表语句参考

2.sp_rename重命名普通表t_jingyu及其主键pk_t_jingyu和索引idx_t_jingyu_1。

代码语言:javascript复制
sp_rename t_jingyu,t_jingyu_bak
go
sp_rename "t_jingyu_bak.pk_t_jingyu",pk_t_jingyu_bak
go
sp_rename "t_jingyu_bak.idx_t_jingyu_1",idx_t_jingyu_1_bak
go

3.确定上面备份无问题后,创建分区表t_jingyu,分区索引。 3.1创建分区表t_jingyu

代码语言:javascript复制
CREATE TABLE dbo.t_jingyu
(
    oid         varchar(64)   NOT NULL,
    related_rnc varchar(64)   NULL,
    start_time  datetime      NOT NULL
)
LOCK DATAROWS
PARTITION BY RANGE (start_time)
(p20140601 VALUES <= ('2014-06-01 23:59:59.999') ON seg_d_wrnop,
p20140602 VALUES <= ('2014-06-02 23:59:59.999') ON seg_d_wrnop,
p20140603 VALUES <= ('2014-06-03 23:59:59.999') ON seg_d_wrnop,
p20140604 VALUES <= ('2014-06-04 23:59:59.999') ON seg_d_wrnop,
p20140605 VALUES <= ('2014-06-05 23:59:59.999') ON seg_d_wrnop,
p20140606 VALUES <= ('2014-06-06 23:59:59.999') ON seg_d_wrnop,
p20140607 VALUES <= ('2014-06-07 23:59:59.999') ON seg_d_wrnop,
p20140608 VALUES <= ('2014-06-08 23:59:59.999') ON seg_d_wrnop,
p20140609 VALUES <= ('2014-06-09 23:59:59.999') ON seg_d_wrnop,
p20140610 VALUES <= ('2014-06-10 23:59:59.999') ON seg_d_wrnop,
p20140611 VALUES <= ('2014-06-11 23:59:59.999') ON seg_d_wrnop,
p20140612 VALUES <= ('2014-06-12 23:59:59.999') ON seg_d_wrnop,
p20140613 VALUES <= ('2014-06-13 23:59:59.999') ON seg_d_wrnop,
p20140614 VALUES <= ('2014-06-14 23:59:59.999') ON seg_d_wrnop,
p20140615 VALUES <= ('2014-06-15 23:59:59.999') ON seg_d_wrnop,
p20140616 VALUES <= ('2014-06-16 23:59:59.999') ON seg_d_wrnop,
p20140617 VALUES <= ('2014-06-17 23:59:59.999') ON seg_d_wrnop,
p20140618 VALUES <= ('2014-06-18 23:59:59.999') ON seg_d_wrnop,
p20140619 VALUES <= ('2014-06-19 23:59:59.999') ON seg_d_wrnop,
p20140620 VALUES <= ('2014-06-20 23:59:59.999') ON seg_d_wrnop,
p20140621 VALUES <= ('2014-06-21 23:59:59.999') ON seg_d_wrnop,
p20140622 VALUES <= ('2014-06-22 23:59:59.999') ON seg_d_wrnop,
p20140623 VALUES <= ('2014-06-23 23:59:59.999') ON seg_d_wrnop,
p20140624 VALUES <= ('2014-06-24 23:59:59.999') ON seg_d_wrnop,
p20140625 VALUES <= ('2014-06-25 23:59:59.999') ON seg_d_wrnop,
p20140626 VALUES <= ('2014-06-26 23:59:59.999') ON seg_d_wrnop,
p20140627 VALUES <= ('2014-06-27 23:59:59.999') ON seg_d_wrnop,
p20140628 VALUES <= ('2014-06-28 23:59:59.999') ON seg_d_wrnop,
p20140629 VALUES <= ('2014-06-29 23:59:59.999') ON seg_d_wrnop,
p20140630 VALUES <= ('2014-06-30 23:59:59.999') ON seg_d_wrnop)
go

3.2创建惟一性非聚簇分区索引(代替了原表主键的作用)

代码语言:javascript复制
CREATE UNIQUE NONCLUSTERED INDEX pk_t_jingyu
    ON dbo.t_jingyu(oid,start_time)
    ON seg_i_wrnop
LOCAL INDEX
go 

3.3创建其他非聚簇分区索引

代码语言:javascript复制
CREATE NONCLUSTERED INDEX idx_t_jingyu_1
    ON dbo.t_jingyu(start_time,related_rnc)
    ON seg_i_wrnop
LOCAL INDEX 
go

4.选择性插入需要的数据到新表

代码语言:javascript复制
insert into t_jingyu select * from t_jingyu_bak where 条件
go

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