一、分区表简介
分区表类型：【范围分区】、【列表分区】 【hash分区】 【这些分区的组合分区】
范围分区：以某一个范围进行分区。eg:时间段划分。
列表分区：以某一些几个值进行分区。eg:地区分区，省份进行划分。
hash分区：以hash算法进行分块。可以有效的消除io的竞争。 更多用在组合分区的子分区中。
组合分区：11g前仅有两种组合分区 （range- *） eg: 范围 -列表（月份地区），范围- hash 两种组合
11g后新增四种。（range-range，list-list，list-hash，list-range） 考虑到兼容性等问题尽量使用 范围开头的组合分区。
使用分区表优点：
减少访问路径，提升性能外
更方便的批量操作数据，从而维护方便。
不同的分区映射到磁盘以平衡I/O，改善整个系统性能。
相比索引来讲：索引的维护开销是相当大的，它要保证他的有序性，他的数据结构如果乱的话、是需要重组的，而分区表化整为零，大大的减小了扫描范围，同样可以起到很高的效率。
二、分区表实战
范围分区示例
1 -- 范围分区示例
2 drop table range_part_tab purge;
3 --注意，此分区为范围分区
4
5 --例子1
6 create table range_part_tab (id number,deal_date date,area_code number,nbr number,contents varchar2(4000))
7 partition by range (deal_date)
8 (
9 partition p_201301 values less than (TO_DATE('2013-02-01', 'YYYY-MM-DD')),
10 partition p_201302 values less than (TO_DATE('2013-03-01', 'YYYY-MM-DD')),
11 partition p_201303 values less than (TO_DATE('2013-04-01', 'YYYY-MM-DD')),
12 partition p_201304 values less than (TO_DATE('2013-05-01', 'YYYY-MM-DD')),
13 partition p_201305 values less than (TO_DATE('2013-06-01', 'YYYY-MM-DD')),
14 partition p_201306 values less than (TO_DATE('2013-07-01', 'YYYY-MM-DD')),
15 partition p_201307 values less than (TO_DATE('2013-08-01', 'YYYY-MM-DD')),
16 partition p_201308 values less than (TO_DATE('2013-09-01', 'YYYY-MM-DD')),
17 partition p_201309 values less than (TO_DATE('2013-10-01', 'YYYY-MM-DD')),
18 partition p_201310 values less than (TO_DATE('2013-11-01', 'YYYY-MM-DD')),
19 partition p_201311 values less than (TO_DATE('2013-12-01', 'YYYY-MM-DD')),
20 partition p_201312 values less than (TO_DATE('2014-01-01', 'YYYY-MM-DD')),
21 partition p_201401 values less than (TO_DATE('2014-02-01', 'YYYY-MM-DD')),
22 partition p_201402 values less than (TO_DATE('2014-03-01', 'YYYY-MM-DD')),
23 partition p_max values less than (maxvalue)
24 )
25 ;
26
27
28 --以下是插入2013年一整年日期随机数和表示福建地区号含义（591到599）的随机数记录，共有10万条，如下：
29 insert into range_part_tab (id,deal_date,area_code,nbr,contents)
30 select rownum,
31 to_date( to_char(sysdate-365,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
32 ceil(dbms_random.value(591,599)),
33 ceil(dbms_random.value(18900000001,18999999999)),
34 rpad('*',400,'*')
35 from dual
36 connect by rownum <= 100000;
37 commit;
38
39
40
41 --以下是插入2014年一整年日期随机数和表示福建地区号含义（591到599）的随机数记录，共有10万条，如下：
42 insert into range_part_tab (id,deal_date,area_code,nbr,contents)
43 select rownum,
44 to_date( to_char(sysdate,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
45 ceil(dbms_random.value(591,599)),
46 ceil(dbms_random.value(18900000001,18999999999)),
47 rpad('*',400,'*')
48 from dual
49 connect by rownum <= 100000;
50 commit;
51
52
53 ---添加一个全局索引、一个局部索引后，后面会提到分区操作对索引的影响。
54 create index idx_part_id on range_part_tab (id) ;
55 create index idx_part_nbr on range_part_tab (nbr) local;
56
57 --统计信息系统一般会自动收集，这只是首次建成表后需要操作一下，以方便测试
58 exec dbms_stats.gather_table_stats(ownname => 'LJB',tabname => 'RANGE_PART_TAB',estimate_percent => 10,method_opt=> 'for all indexed columns',cascade=>TRUE) ;
59
60
61 select min(deal_date),max(deal_date) from range_part_tab;
62
63 --查看每个分区一共保存了多少条数据
64 select count(*) from range_part_tab partition (p_201301);
65 select count(*) from range_part_tab partition (p_201302);
66 select count(*) from range_part_tab partition (p_201303);
67 select count(*) from range_part_tab partition (p_201304);
68 select count(*) from range_part_tab partition (p_201305);
69 select count(*) from range_part_tab partition (p_201306);
70 select count(*) from range_part_tab partition (p_201307);
71 select count(*) from range_part_tab partition (p_201308);
72 select count(*) from range_part_tab partition (p_201309);
73 select count(*) from range_part_tab partition (p_201310);
74 select count(*) from range_part_tab partition (p_201311);
75 select count(*) from range_part_tab partition (p_201312);
76 select count(*) from range_part_tab partition (p_max);
列表分区示例
1 --列表分区示例
2 drop table list_part_tab purge;
3 --注意，此分区为列表分区
4 create table list_part_tab (id number,deal_date date,area_code number,nbr number,contents varchar2(4000))
5 partition by list (area_code)
6 (
7 partition p_591 values (591),
8 partition p_592 values (592),
9 partition p_593 values (593),
10 partition p_594 values (594),
11 partition p_595 values (595),
12 partition p_596 values (596),
13 partition p_597 values (597),
14 partition p_598 values (598),
15 partition p_599 values (599),
16 partition p_other values (DEFAULT)
17 )
18 ;
19
20 --以下是插入2013年一整年日期随机数和表示福建地区号含义（591到599）的随机数记录，共有10万条，如下：
21 insert into list_part_tab (id,deal_date,area_code,nbr,contents)
22 select rownum,
23 to_date( to_char(sysdate-365,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
24 ceil(dbms_random.value(590,599)),
25 ceil(dbms_random.value(18900000001,18999999999)),
26 rpad('*',400,'*')
27 from dual
28 connect by rownum <= 100000;
29 commit;
30
31
32 select count(*) from list_part_tab partition(p_591);
33 select count(*) from list_part_tab partition(p_592);
34 select count(*) from list_part_tab partition(p_593);
35 select count(*) from list_part_tab partition(p_594);
36 select count(*) from list_part_tab partition(p_595);
37 select count(*) from list_part_tab partition(p_596);
38 select count(*) from list_part_tab partition(p_597);
39 select count(*) from list_part_tab partition(p_598);
40 select count(*) from list_part_tab partition(p_599);
41 select count(*) from list_part_tab partition(p_other);
42
43
44 create index idx_list_part_id on list_part_tab (id) ;
45 create index idx_list_part_nbr on list_part_tab (nbr) local;
46
47 --统计信息系统一般会自动收集，这只是首次建成表后需要操作一下，以方便测试
48 exec dbms_stats.gather_table_stats(ownname => 'LJB',tabname => 'LIST_PART_TAB',estimate_percent => 10,method_opt=> 'for all indexed columns',cascade=>TRUE) ;
hash分区示例
1 --散列分区示例
2 drop table hash_part_tab purge;
3 --注意，此分区HASH分区
4 create table hash_part_tab (id number,deal_date date,area_code number,nbr number,contents varchar2(4000))
5 partition by hash (deal_date)
6 PARTITIONS 12
7 ;
8 --以下是插入2013年一整年日期随机数和表示福建地区号含义（591到599）的随机数记录，共有10万条，如下：
9 insert into hash_part_tab(id,deal_date,area_code,nbr,contents)
10 select rownum,
11 to_date( to_char(sysdate-365,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
12 ceil(dbms_random.value(590,599)),
13 ceil(dbms_random.value(18900000001,18999999999)),
14 rpad('*',400,'*')
15 from dual
16 connect by rownum <= 100000;
17 commit;
18
19
20
21 --以下分区名是通过数据字典user_segments的partition_name查出来的，详见后面说明。
22 ---每个分区存放多少数据
23 select partition_name,
24 segment_type,
25 bytes,
26 'select count(*) from hash_part_tab partition('||partition_name||');'
27 from user_segments
28 where segment_name ='HASH_PART_TAB';
联合字段分区（两种联合起来进行分区）
1 -- 范围分区示例
2 drop table range_part_mult_col_tab purge;
3 --注意，此分区为联合字段的范围分区
4
5 create table range_part_mult_col_tab (id number,deal_date date,area_code number,nbr number,contents varchar2(4000))
6 partition by range (area_code,deal_date)
7 (
8 partition p_591_201301 values less than (591,TO_DATE('2013-02-01', 'YYYY-MM-DD')),
9 partition p_591_201302 values less than (591,TO_DATE('2013-03-01', 'YYYY-MM-DD')),
10 partition p_591_201303 values less than (591,TO_DATE('2013-04-01', 'YYYY-MM-DD')),
11 partition p_591_201304 values less than (591,TO_DATE('2013-05-01', 'YYYY-MM-DD')),
12 partition p_591_201305 values less than (591,TO_DATE('2013-06-01', 'YYYY-MM-DD')),
13 partition p_591_201306 values less than (591,TO_DATE('2013-07-01', 'YYYY-MM-DD')),
14 partition p_591_201307 values less than (591,TO_DATE('2013-08-01', 'YYYY-MM-DD')),
15 partition p_591_201308 values less than (591,TO_DATE('2013-09-01', 'YYYY-MM-DD')),
16 partition p_591_201309 values less than (591,TO_DATE('2013-10-01', 'YYYY-MM-DD')),
17 partition p_591_201310 values less than (591,TO_DATE('2013-11-01', 'YYYY-MM-DD')),
18 partition p_591_201311 values less than (591,TO_DATE('2013-12-01', 'YYYY-MM-DD')),
19 partition p_591_201312 values less than (591,TO_DATE('2014-01-01', 'YYYY-MM-DD')),
20 partition p_591_201401 values less than (591,TO_DATE('2014-02-01', 'YYYY-MM-DD')),
21 partition p_591_201402 values less than (591,TO_DATE('2014-03-01', 'YYYY-MM-DD')),
22 partition p_591_max values less than (591,maxvalue),
23 partition p_592_201301 values less than (592,TO_DATE('2013-02-01', 'YYYY-MM-DD')),
24 partition p_592_201302 values less than (592,TO_DATE('2013-03-01', 'YYYY-MM-DD')),
25 partition p_592_201303 values less than (592,TO_DATE('2013-04-01', 'YYYY-MM-DD')),
26 partition p_592_201304 values less than (592,TO_DATE('2013-05-01', 'YYYY-MM-DD')),
27 partition p_592_201305 values less than (592,TO_DATE('2013-06-01', 'YYYY-MM-DD')),
28 partition p_592_201306 values less than (592,TO_DATE('2013-07-01', 'YYYY-MM-DD')),
29 partition p_592_201307 values less than (592,TO_DATE('2013-08-01', 'YYYY-MM-DD')),
30 partition p_592_201308 values less than (592,TO_DATE('2013-09-01', 'YYYY-MM-DD')),
31 partition p_592_201309 values less than (592,TO_DATE('2013-10-01', 'YYYY-MM-DD')),
32 partition p_592_201310 values less than (592,TO_DATE('2013-11-01', 'YYYY-MM-DD')),
33 partition p_592_201311 values less than (592,TO_DATE('2013-12-01', 'YYYY-MM-DD')),
34 partition p_592_201312 values less than (592,TO_DATE('2014-01-01', 'YYYY-MM-DD')),
35 partition p_592_201401 values less than (592,TO_DATE('2014-02-01', 'YYYY-MM-DD')),
36 partition p_592_201402 values less than (592,TO_DATE('2014-03-01', 'YYYY-MM-DD')),
37 partition p_592_max values less than (592,maxvalue),
38 partition p_593_201301 values less than (593,TO_DATE('2013-02-01', 'YYYY-MM-DD')),
39 partition p_593_201302 values less than (593,TO_DATE('2013-03-01', 'YYYY-MM-DD')),
40 partition p_593_201303 values less than (593,TO_DATE('2013-04-01', 'YYYY-MM-DD')),
41 partition p_593_201304 values less than (593,TO_DATE('2013-05-01', 'YYYY-MM-DD')),
42 partition p_593_201305 values less than (593,TO_DATE('2013-06-01', 'YYYY-MM-DD')),
43 partition p_593_201306 values less than (593,TO_DATE('2013-07-01', 'YYYY-MM-DD')),
44 partition p_593_201307 values less than (593,TO_DATE('2013-08-01', 'YYYY-MM-DD')),
45 partition p_593_201308 values less than (593,TO_DATE('2013-09-01', 'YYYY-MM-DD')),
46 partition p_593_201309 values less than (593,TO_DATE('2013-10-01', 'YYYY-MM-DD')),
47 partition p_593_201310 values less than (593,TO_DATE('2013-11-01', 'YYYY-MM-DD')),
48 partition p_593_201311 values less than (593,TO_DATE('2013-12-01', 'YYYY-MM-DD')),
49 partition p_593_201312 values less than (593,TO_DATE('2014-01-01', 'YYYY-MM-DD')),
50 partition p_593_201401 values less than (593,TO_DATE('2014-02-01', 'YYYY-MM-DD')),
51 partition p_593_201402 values less than (593,TO_DATE('2014-03-01', 'YYYY-MM-DD')),
52 partition p_593_max values less than (593,maxvalue)
53 )
54 ;
55
56
57
58
59 --以下是插入2013年一整年日期随机数和表示福州，厦门，宁德三地的地区号含义（591到593）的随机数记录，共有10万条，如下：
60 insert into range_part_mult_col_tab (id,deal_date,area_code,nbr,contents)
61 select rownum,
62 to_date( to_char(sysdate-365,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
63 ceil(dbms_random.value(591,593)),
64 ceil(dbms_random.value(18900000001,18999999999)),
65 rpad('*',400,'*')
66 from dual
67 connect by rownum <= 100000;
68 commit;
69
70
71
72 select count(*) from range_part_mult_col_tab partition (p_591_201301);
73 select count(*) from range_part_mult_col_tab partition (p_591_201302);
74 select count(*) from range_part_mult_col_tab partition (p_591_201303);
75 select count(*) from range_part_mult_col_tab partition (p_591_201304);
76 select count(*) from range_part_mult_col_tab partition (p_591_201305);
77 select count(*) from range_part_mult_col_tab partition (p_591_201306);
78 select count(*) from range_part_mult_col_tab partition (p_591_201307);
79 select count(*) from range_part_mult_col_tab partition (p_591_201308);
80 select count(*) from range_part_mult_col_tab partition (p_591_201309);
81 select count(*) from range_part_mult_col_tab partition (p_591_201310);
82 select count(*) from range_part_mult_col_tab partition (p_591_201311);
83 select count(*) from range_part_mult_col_tab partition (p_591_201312);
84 select count(*) from range_part_mult_col_tab partition (p_591_max);
85 select count(*) from range_part_mult_col_tab partition (p_592_201301);
86 select count(*) from range_part_mult_col_tab partition (p_592_201302);
87 select count(*) from range_part_mult_col_tab partition (p_592_201303);
88 select count(*) from range_part_mult_col_tab partition (p_592_201304);
89 select count(*) from range_part_mult_col_tab partition (p_592_201305);
90 select count(*) from range_part_mult_col_tab partition (p_592_201306);
91 select count(*) from range_part_mult_col_tab partition (p_592_201307);
92 select count(*) from range_part_mult_col_tab partition (p_592_201308);
93 select count(*) from range_part_mult_col_tab partition (p_592_201309);
94 select count(*) from range_part_mult_col_tab partition (p_592_201310);
95 select count(*) from range_part_mult_col_tab partition (p_592_201311);
96 select count(*) from range_part_mult_col_tab partition (p_592_201312);
97 select count(*) from range_part_mult_col_tab partition (p_592_max);
98 select count(*) from range_part_mult_col_tab partition (p_593_201301);
99 select count(*) from range_part_mult_col_tab partition (p_593_201302);
100 select count(*) from range_part_mult_col_tab partition (p_593_201303);
101 select count(*) from range_part_mult_col_tab partition (p_593_201304);
102 select count(*) from range_part_mult_col_tab partition (p_593_201305);
103 select count(*) from range_part_mult_col_tab partition (p_593_201306);
104 select count(*) from range_part_mult_col_tab partition (p_593_201307);
105 select count(*) from range_part_mult_col_tab partition (p_593_201308);
106 select count(*) from range_part_mult_col_tab partition (p_593_201309);
107 select count(*) from range_part_mult_col_tab partition (p_593_201310);
108 select count(*) from range_part_mult_col_tab partition (p_593_201311);
109 select count(*) from range_part_mult_col_tab partition (p_593_201312);
110 select count(*) from range_part_mult_col_tab partition (p_593_max);
111
112
113
114
115 create index idx_part_mul_id on range_part_mult_col_tab (id) ;
116 create index idx_part_mul_nbr on range_part_mult_col_tab (nbr) local;
组合分区
1 --组合分区示例
2 drop table range_list_part_tab purge;
3 --注意，此分区为范围分区
4 create table range_list_part_tab (id number,deal_date date,area_code number,nbr number,contents varchar2(4000))
5 partition by range (deal_date)
6 subpartition by list (area_code)
7 subpartition TEMPLATE
8 (subpartition p_591 values (591),
9 subpartition p_592 values (592),
10 subpartition p_593 values (593),
11 subpartition p_594 values (594),
12 subpartition p_595 values (595),
13 subpartition p_596 values (596),
14 subpartition p_597 values (597),
15 subpartition p_598 values (598),
16 subpartition p_599 values (599),
17 subpartition p_other values (DEFAULT))
18 ( partition p_201301 values less than (TO_DATE('2013-02-01', 'YYYY-MM-DD')),
19 partition p_201302 values less than (TO_DATE('2013-03-01', 'YYYY-MM-DD')),
20 partition p_201303 values less than (TO_DATE('2013-04-01', 'YYYY-MM-DD')),
21 partition p_201304 values less than (TO_DATE('2013-05-01', 'YYYY-MM-DD')),
22 partition p_201305 values less than (TO_DATE('2013-06-01', 'YYYY-MM-DD')),
23 partition p_201306 values less than (TO_DATE('2013-07-01', 'YYYY-MM-DD')),
24 partition p_201307 values less than (TO_DATE('2013-08-01', 'YYYY-MM-DD')),
25 partition p_201308 values less than (TO_DATE('2013-09-01', 'YYYY-MM-DD')),
26 partition p_201309 values less than (TO_DATE('2013-10-01', 'YYYY-MM-DD')),
27 partition p_201310 values less than (TO_DATE('2013-11-01', 'YYYY-MM-DD')),
28 partition p_201311 values less than (TO_DATE('2013-12-01', 'YYYY-MM-DD')),
29 partition p_201312 values less than (TO_DATE('2014-01-01', 'YYYY-MM-DD')),
30 partition p_201401 values less than (TO_DATE('2014-02-01', 'YYYY-MM-DD')),
31 partition p_201402 values less than (TO_DATE('2014-03-01', 'YYYY-MM-DD')),
32 partition p_max values less than (maxvalue))
33 ;
34
35
36
37 --以下是插入2013年一整年日期随机数和表示福建地区号含义（591到599）的随机数记录，共有10万条，如下：
38 insert into range_list_part_tab(id,deal_date,area_code,nbr,contents)
39 select rownum,
40 to_date( to_char(sysdate-365,'J')+TRUNC(DBMS_RANDOM.VALUE(0,365)),'J'),
41 ceil(dbms_random.value(590,599)),
42 ceil(dbms_random.value(18900000001,18999999999)),
43 rpad('*',400,'*')
44 from dual
45 connect by rownum <= 100000;
46 commit;
47
48
49 select count(*) from range_list_part_tab partition (p_591);
50 select count(*) from range_list_part_tab partition (p_201302);
51 select count(*) from range_list_part_tab partition (p_201303);
52 select count(*) from range_list_part_tab partition (p_201304);
53 select count(*) from range_list_part_tab partition (p_201305);
54 select count(*) from range_list_part_tab partition (p_201306);
55 select count(*) from range_list_part_tab partition (p_201307);
56 select count(*) from range_list_part_tab partition (p_201308);
57 select count(*) from range_list_part_tab partition (p_201309);
58 select count(*) from range_list_part_tab partition (p_201310);
59 select count(*) from range_list_part_tab partition (p_201311);
60 select count(*) from range_list_part_tab partition (p_201312);
61 select count(*) from range_list_part_tab partition (p_max);
62
63 --注意，模板的形式，子分区名是被自动命名了，系统自动组合在一起，如P_201301_P_591
64 select count(*) from range_list_part_tab subpartition(P_201301_P_591);
65
66 create index idx_ran_list_part_id on range_list_part_tab (id) ;
67 create index idx_ran_list_part_nbr on range_list_part_tab (nbr) local;
三、分区表相关信息的查询脚本
该表是否是分区表，分区表的分区类型是什么，是否有子分区，分区总数有多少
SELECT partitioning_type, subpartitioning_type, partition_count FROM user_part_tables WHERE table_name = 'TABLE';
该分区表在哪一列上建分区,有无多列联合建分区
SELECT
column_name,
object_type,
column_position
FROM
user_part_key_columns
WHERE
NAME = 'TABLE';
该分区表有多大
select sum(bytes) / 1024 / 1024 from user_segments where segment_name ='TABLE';
该分区表各分区分别有多大，各个分区名是什么
select partition_name,
segment_type,
bytes
from user_segments
where segment_name ='TABLE';
该分区表的统计信息收集情况
select table_name,
partition_name,
last_analyzed,
partition_position,
num_rows
from user_tab_statistics t
where table_name ='TABLE';
分区表索引相关查该分区表有无索引，分别什么类型,全局索引是否失效，此外还可看统计信息收集情况。--(其中status值为N/A 表示分区索引，分区索引是否失效是在user_ind_partitions中查看)
---RANGE_PART_TAB 第一个范围分区测试脚本中直接执行下面脚本即可有相同的结果
select table_name,
index_name,
last_analyzed,
blevel,
num_rows,
leaf_blocks,
distinct_keys,
status
from user_indexes
where table_name ='RANGE_PART_TAB';
TABLE_NAME INDEX_NAME LAST_ANALYZED BLEVEL NUM_ROWS LEAF_BLOCKS DISTINCT_KEYS STATUS
------------------------------ ---------------------------- -------------- ------ --------- ----------- ------------- --------
RANGE_PART_TAB IDX_PART_NBR 01-12月-13 1 200000 536 199774 N/A
RANGE_PART_TAB IDX_PART_ID 01-12月-13 1 200000 555 100000 VALID
--07 该分区表在哪些列上建了索引
select index_name,
column_name,
column_position
from user_ind_columns
where table_name = 'RANGE_PART_TAB';
INDEX_NAME COLUMN_NAME COLUMN_POSITION
---------------------------- -------------------- ---------------
IDX_PART_ID ID 1
IDX_PART_NBR NBR 1
--08 该分区表上的各索引分别有多大。
select segment_name,segment_type,sum(bytes)/1024/1024
from user_segments
where segment_name in
(select index_name
from user_indexes
where table_name ='RANGE_PART_TAB')
group by segment_name,segment_type ;
SEGMENT_NAME SEGMENT_TYPE SUM(BYTES)/1024/1024
------------------------------------------ --------------------
IDX_PART_ID INDEX 5
IDX_PART_NBR INDEX PARTITION 5.6875
--09 该分区表的索引段的分配情况
select segment_name
partition_name,
segment_type,
bytes
from user_segments
where segment_name in
(select index_name
from user_indexes
where table_name ='RANGE_PART_TAB');
PARTITION_NAME SEGMENT_TYPE BYTES
---------------------------- -------------------- ----------
IDX_PART_ID INDEX 5242880
IDX_PART_NBR INDEX PARTITION 458752
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 262144
IDX_PART_NBR INDEX PARTITION 2097152
已选择16行。
--10 分区索引相关信息及统计信息、是否失效查看。
select t2.table_name,
t1.index_name,
t1.partition_name,
t1.last_analyzed,
t1.blevel,
t1.num_rows,
t1.leaf_blocks,
t1.status
from user_ind_partitions t1, user_indexes t2
where t1.index_name = t2.index_name
and t2.table_name='RANGE_PART_TAB';
TABLE_NAME INDEX_NAME PARTITION_NAME LAST_ANALYZED BLEVEL NUM_ROWS LEAF_BLOCKS STATUS
-------------------------------------------------------------- ------ --------- ----------- -------
RANGE_PART_TAB IDX_PART_NBR P_201301 01-12月-13 1 16883 45 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201302 01-12月-13 1 7876 21 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201303 01-12月-13 1 8448 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201304 01-12月-13 1 8295 22 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201305 01-12月-13 1 8388 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201306 01-12月-13 1 8234 22 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201307 01-12月-13 1 8540 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201308 01-12月-13 1 8312 22 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201309 01-12月-13 1 8350 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201310 01-12月-13 1 8496 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201311 01-12月-13 1 8178 22 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201312 01-12月-13 1 8425 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201401 01-12月-13 1 8477 23 USABLE
RANGE_PART_TAB IDX_PART_NBR P_201402 01-12月-13 1 7628 21 USABLE
RANGE_PART_TAB IDX_PART_NBR P_MAX 01-12月-13 1 75470 200 USABLE
来源：https://www.cnblogs.com/javaMan/p/3978412.html