树形查询SQL优化一例
上周五一哥们发了条SQL，让我看看，代码如下：
SELECT COUNT(1)
FROM (select m.sheet_id
from cpm_main_sheet_history m, cpm_service_warn_config s
where m.sheet_type_id in
(select t.row_id
from tbl_class_trees t
start with t.row_id = s.sheet_type_id
connect by t.parent_row_id = prior t.row_id)
and m.service_type in
(select tt.row_id
from tbl_class_trees tt
start with tt.row_id = s.business_type_id
connect by tt.parent_row_id = prior tt.row_id)
and m.accept_time >=
TO_CHAR(SYSDATE - time_interval / 24, 'yyyy-mm-dd hh24:mi:ss')
and s.row_id = 'AS170904165251'
and m.no_area in ('0000')) c__
--执行计划
PLAN_TABLE_OUTPUT
Plan hash value: 2710926849
----------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 143 | 96246 (1)| 00:19:15 |
|* 1 | FILTER | | | | | |
| 2 | NESTED LOOPS | | 1681 | 234K| 746 (1)| 00:00:09 |
| 3 | TABLE ACCESS BY INDEX ROWID | CPM_SERVICE_WARN_CONFIG | 1 | 56 | 1 (0)| 00:00:01 |
|* 4 | INDEX UNIQUE SCAN | PK_CONFIG_ROW_ID | 1 | | 0 (0)| 00:00:01 |
| 5 | TABLE ACCESS BY INDEX ROWID | CPM_MAIN_SHEET_HISTORY | 1681 | 142K| 745 (1)| 00:00:09 |
|* 6 | INDEX RANGE SCAN | IDX_CPM_NO_AREA_TIME1 | 449 | | 62 (0)| 00:00:01 |
|* 7 | FILTER | | | | | |
|* 8 | CONNECT BY NO FILTERING WITH SW (UNIQUE)| | | | | |
| 9 | TABLE ACCESS FULL | TBL_CLASS_TREES | 9527 | 493K| 113 (0)| 00:00:02 |
|* 10 | FILTER | | | | | |
|* 11 | CONNECT BY NO FILTERING WITH SW (UNIQUE)| | | | | |
| 12 | TABLE ACCESS FULL | TBL_CLASS_TREES | 9527 | 493K| 113 (0)| 00:00:02 |
----------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( EXISTS (SELECT 0 FROM "TBL_CLASS_TREES" "T" WHERE "T"."ROW_ID"=:B1 START WITH "T"."ROW_ID"=:B2
CONNECT BY "T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID") AND EXISTS (SELECT 0 FROM "TBL_CLASS_TREES" "TT" WHERE
"TT"."ROW_ID"=:B3 START WITH "TT"."ROW_ID"=:B4 CONNECT BY "TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID"))
4 - access("S"."ROW_ID"='AS170904165251')
6 - access("M"."ACCEPT_TIME">=TO_CHAR(SYSDATE@!-"TIME_INTERVAL"/24,'yyyy-mm-dd hh24:mi:ss') AND
"M"."NO_AREA"='0000' AND "M"."ACCEPT_TIME" IS NOT NULL)
filter("M"."NO_AREA"='0000')
7 - filter("T"."ROW_ID"=:B1)
8 - access("T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID")
filter("T"."ROW_ID"=:B1)
10 - filter("TT"."ROW_ID"=:B1)
11 - access("TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID")
filter("TT"."ROW_ID"=:B1) SQL优化前：
耗时：20s
count(1)返回: 147条数据
分析执行计划，执行计划中有filter关键字且有3个子级，这种sql是最容易引起性能问题的，所以第一时间是反应是sql有没有走索引，能不能改写。
尝试1：
建索引优化：
在TBL_CLASS_TREES表(row_id,parent_row_id)上建索引
执行计划：
PLAN_TABLE_OUTPUT
Plan hash value: 135779572
----------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 155 | 34147 (1)| 00:06:50 |
|* 1 | FILTER | | | | | |
| 2 | NESTED LOOPS | | 3021 | 457K| 816 (1)| 00:00:10 |
| 3 | TABLE ACCESS BY INDEX ROWID | CPM_SERVICE_WARN_CONFIG | 1 | 62 | 1 (0)| 00:00:01 |
|* 4 | INDEX UNIQUE SCAN | PK_CONFIG_ROW_ID | 1 | | 0 (0)| 00:00:01 |
| 5 | TABLE ACCESS BY INDEX ROWID | CPM_MAIN_SHEET_HISTORY | 3021 | 274K| 815 (1)| 00:00:10 |
|* 6 | INDEX RANGE SCAN | IDX_CPM_NO_AREA_TIME1 | 563 | | 136 (0)| 00:00:02 |
|* 7 | FILTER | | | | | |
|* 8 | CONNECT BY NO FILTERING WITH SW (UNIQUE)| | | | | |
| 9 | INDEX FAST FULL SCAN | IDX_ROW_ID | 9527 | 493K| 20 (0)| 00:00:01 |
|* 10 | FILTER | | | | | |
|* 11 | CONNECT BY NO FILTERING WITH SW (UNIQUE)| | | | | |
| 12 | INDEX FAST FULL SCAN | IDX_ROW_ID | 9527 | 493K| 20 (0)| 00:00:01 |
----------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( EXISTS (SELECT 0 FROM "TBL_CLASS_TREES" "T" WHERE "T"."ROW_ID"=:B1 START WITH "T"."ROW_ID"=:B2
CONNECT BY "T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID") AND EXISTS (SELECT 0 FROM "TBL_CLASS_TREES" "TT" WHERE
"TT"."ROW_ID"=:B3 START WITH "TT"."ROW_ID"=:B4 CONNECT BY "TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID"))
4 - access("S"."ROW_ID"='AS170904165251')
6 - access("M"."ACCEPT_TIME">=TO_CHAR(SYSDATE@!-"TIME_INTERVAL"/24,'yyyy-mm-dd hh24:mi:ss') AND
"M"."NO_AREA"='0000' AND "M"."ACCEPT_TIME" IS NOT NULL)
filter("M"."NO_AREA"='0000')
7 - filter("T"."ROW_ID"=:B1)
8 - access("T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID")
filter("T"."ROW_ID"=:B1)
10 - filter("TT"."ROW_ID"=:B1)
11 - access("TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID")
filter("TT"."ROW_ID"=:B1)
--效果还是一样慢，此优化失败。尝试2：
利用with改写sql优化
with t as (select /*+ materialize */ row_id,parent_row_id from tbl_class_trees)
SELECT COUNT(1)
FROM (select m.sheet_id
from cpm_main_sheet_history m,cpm_service_warn_config s
where m.sheet_type_id in
(select t.row_id
from t
start with t.row_id = s.sheet_type_id
connect by t.parent_row_id = prior t.row_id)
and m.service_type in
(select t.row_id
from t
start with t.row_id = s.business_type_id
connect by t.parent_row_id = prior t.row_id)
and m.accept_time >=
TO_CHAR(SYSDATE - time_interval / 24, 'yyyy-mm-dd hh24:mi:ss')
and s.row_id = 'AS170904165251'
and m.no_area in ('0000')) c__
--效果还是一样慢，此优化失败。 再次分析原SQL执行计划：
id=8,id=11的执行计划关键词是：CONNECT BY NO FILTERING WITH SW (UNIQUE)。
这个为树形查询在11g中的新特性，尝试让sql不使用这个新特性。
于是使用以下hint：/*+ connect_by_filtering */ 进行优化：
SELECT COUNT(1)
FROM (select m.sheet_id
from cpm_main_sheet_history m, cpm_service_warn_config s
where m.sheet_type_id in
(select /*+ connect_by_filtering */ t.row_id
from tbl_class_trees t
start with t.row_id = s.sheet_type_id
connect by t.parent_row_id = prior t.row_id)
and m.service_type in
(select /*+ connect_by_filtering */ tt.row_id
from tbl_class_trees tt
start with tt.row_id = s.business_type_id
connect by tt.parent_row_id = prior tt.row_id)
and m.accept_time >=
TO_CHAR(SYSDATE - time_interval / 24, 'yyyy-mm-dd hh24:mi:ss')
and s.row_id = 'AS170904165251'
and m.no_area in ('0000')) c__
PLAN_TABLE_OUTPUT
Plan hash value: 2824841339
----------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 246 | 188K (1)| 00:37:47 |
|* 1 | FILTER | | | | | |
| 2 | NESTED LOOPS | | 3021 | 725K| 816 (1)| 00:00:10 |
| 3 | TABLE ACCESS BY INDEX ROWID | CPM_SERVICE_WARN_CONFIG | 1 | 106 | 1 (0)| 00:00:01 |
|* 4 | INDEX UNIQUE SCAN | PK_CONFIG_ROW_ID | 1 | | 0 (0)| 00:00:01 |
| 5 | TABLE ACCESS BY INDEX ROWID | CPM_MAIN_SHEET_HISTORY | 3021 | 413K| 815 (1)| 00:00:10 |
|* 6 | INDEX RANGE SCAN | IDX_CPM_NO_AREA_TIME1 | 563 | | 136 (0)| 00:00:02 |
|* 7 | FILTER | | | | | |
|* 8 | CONNECT BY WITH FILTERING | | | | | |
| 9 | TABLE ACCESS BY INDEX ROWID| TBL_CLASS_TREES | 1 | 107 | 2 (0)| 00:00:01 |
|* 10 | INDEX UNIQUE SCAN | PK_TBL_CLASS_TREESS | 1 | | 1 (0)| 00:00:01 |
|* 11 | HASH JOIN | | | | | |
| 12 | CONNECT BY PUMP | | | | | |
| 13 | TABLE ACCESS FULL | TBL_CLASS_TREES | 6 | 318 | 113 (0)| 00:00:02 |
|* 14 | FILTER | | | | | |
|* 15 | CONNECT BY WITH FILTERING | | | | | |
| 16 | TABLE ACCESS BY INDEX ROWID| TBL_CLASS_TREES | 1 | 107 | 2 (0)| 00:00:01 |
|* 17 | INDEX UNIQUE SCAN | PK_TBL_CLASS_TREESS | 1 | | 1 (0)| 00:00:01 |
|* 18 | HASH JOIN | | | | | |
| 19 | CONNECT BY PUMP | | | | | |
| 20 | TABLE ACCESS FULL | TBL_CLASS_TREES | 6 | 318 | 113 (0)| 00:00:02 |
----------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( EXISTS (SELECT /*+ CONNECT_BY_FILTERING */ 0 FROM "TBL_CLASS_TREES" "T" WHERE
"T"."ROW_ID"=:B1 START WITH "T"."ROW_ID"=:B2) AND EXISTS (SELECT /*+ CONNECT_BY_FILTERING */ 0
FROM "TBL_CLASS_TREES" "TT" WHERE "TT"."ROW_ID"=:B3 START WITH "TT"."ROW_ID"=:B4))
4 - access("S"."ROW_ID"='AS170904165251')
6 - access("M"."ACCEPT_TIME">=TO_CHAR(SYSDATE@!-"TIME_INTERVAL"/24,'yyyy-mm-dd hh24:mi:ss')
AND "M"."NO_AREA"='0000' AND "M"."ACCEPT_TIME" IS NOT NULL)
filter("M"."NO_AREA"='0000')
7 - filter("T"."ROW_ID"=:B1)
8 - access("T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID")
10 - access("T"."ROW_ID"=:B1)
11 - access("T"."PARENT_ROW_ID"=PRIOR "T"."ROW_ID")
14 - filter("TT"."ROW_ID"=:B1)
15 - access("TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID")
17 - access("TT"."ROW_ID"=:B1)
18 - access("TT"."PARENT_ROW_ID"=PRIOR "TT"."ROW_ID")
--优化后，SQL能在5s返回结果树形查询SQL优化一例的更多相关文章
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