oracle-sql优化-通过分组和缓存减少不必要的读
环境：aix 7.1,oracle12.1.0.2 cdb
优化前SQL
select * from (select row_.*, rownum rownum_ from (select '弱覆盖' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select city_name, county_name, grid_id, case when rsrpSum > 0 and counts > 0 and rsrpSum / counts < 0.95 then 1 else 0 end rfgSum from (select city_name, county_name, grid_id, sum(rsrp_value) rsrpSum, count(grid_id) counts from (select case when LTE_RSRP > -105 then 1 else 0 end rsrp_value, city_name, county_name, grid_id from SJCL.measured_data where IS_MACRO_STATION = 1 and grid_id is not null and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss')) t1 group by t1.city_name, t1.county_name, t1.grid_id) t2) t3 where rfgSum >= 1 group by city_name, county_name, grid_id union all select '无主控覆盖' as questionType, city_name as cityName, county_name countyName, grid_id gridId, 'LTE' as netWorkType from (select case when ci_count / grid_count > 0.3 then 1 else 0 end gr_ci, city_name, county_name, grid_id, LTE_CI from (select count(case when t1.network_type = 'LTE' then t1.lte_ci when t1.network_type = 'GSM' then t1.gsm_cid when t1.network_type = 'TD' then t1.td_cid else null end) ci_count, (select count(grid_id) from SJCL.measured_data where grid_id = t1.grid_id and IS_MACRO_STATION = 1 and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss')) grid_count, t1.city_name, t1.county_name, t1.grid_id, LTE_CI from SJCL.measured_data t1 where t1.grid_id is not null and t1.IS_MACRO_STATION = 1 and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss') group by t1.city_name, t1.county_name, t1.grid_id, t1. LTE_CI ) t2) t3 group by city_name, county_name, grid_id having sum(gr_ci) >= 3 union all select '质差' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select city_name, county_name, grid_id, case when rsrpSum > 0 and counts > 0 and rsrpSum / counts > 0.05 then 1 else 0 end rfgSum from (select city_name, county_name, grid_id, sum(rsrp_value) rsrpSum, count(grid_id) counts from (select case when LTE_RSRP > -100 and LTE_SINR < 0 then 1 else 0 end rsrp_value, city_name, county_name, grid_id from SJCL.measured_data where IS_MACRO_STATION = 1 and grid_id is not null and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss')) t1 group by t1.city_name, t1.county_name, t1.grid_id) t2) t3 where rfgSum >= 1 group by city_name, county_name, grid_id union all select '越区覆盖' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select tc.*, tl.latitude, tl.longitude from (select * from (select t.city_name, t.county_name, t.grid_id, t. LTE_CI, t. LTE_TAC, nvl(t.grid_longitude, 0) grid_longitude, nvl(t.grid_latitude, 0) grid_latitude, count(LTE_CI) / (select count(grid_id) from SJCL.measured_data a where a.grid_id = t.grid_id and a.is_macro_station = 1 and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss')) as ci_ratio from SJCL.measured_data t where t.grid_id is not null and t.is_macro_station = 1 and t.grid_longitude is not null and t.grid_latitude is not null and LTE_CI is not null and LTE_TAC is not null and terminal_upload_time >= to_date('2017-12-02 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-02 23:59:59', 'yyyy/mm/dd hh24:mi:ss') group by t.city_name, t.county_name, t.grid_id, t. LTE_CI, t. LTE_TAC, t.grid_longitude, t.grid_latitude) where ci_ratio > 0.6) tc, SJCL.tdl_cm_cell tl where REGEXP_SUBSTR(tl.ci, '[^-]+', 1, 3) * 256 + REGEXP_SUBSTR(tl.ci, '[^-]+', 1, 4) = tc.lte_ci and tl.ENBAJ08 = tc.lte_tac) tt where exists (select * from (select count(1) as siteNum from SJCL.tdl_cm_cell where region_name = tt.city_name and ((longitude >= tt.longitude and longitude < tt.grid_longitude) or (longitude < tt.longitude and longitude >= tt.grid_longitude)) and ((latitude >= tt.latitude and longitude < tt.grid_latitude) or (latitude < tt.latitude and latitude >= tt.grid_latitude))) where siteNum > 4)) row_ where rownum <= 100) where rownum_ >= 90
执行计划如下：
Plan Hash Value : 4283313742 ---------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost | Time | ---------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 100 | 41200 | 8556469 | 00:05:35 | | * 1 | VIEW | | 100 | 41200 | 8556469 | 00:05:35 | | * 2 | COUNT STOPKEY | | | | | | | 3 | VIEW | | 2983 | 1190217 | 8556469 | 00:05:35 | | 4 | UNION-ALL | | | | | | | 5 | HASH GROUP BY | | 994 | 10934 | 1106 | 00:00:01 | | 6 | VIEW | | 994 | 10934 | 1106 | 00:00:01 | | * 7 | FILTER | | | | | | | 8 | HASH GROUP BY | | 994 | 25844 | 1106 | 00:00:01 | | 9 | PARTITION RANGE SINGLE | | 19877 | 516802 | 1104 | 00:00:01 | | * 10 | TABLE ACCESS FULL | MEASURED_DATA | 19877 | 516802 | 1104 | 00:00:01 | | * 11 | FILTER | | | | | | | 12 | SORT AGGREGATE | | 1 | 15 | | | | 13 | PARTITION RANGE SINGLE | | 16 | 240 | 1104 | 00:00:01 | | * 14 | TABLE ACCESS FULL | MEASURED_DATA | 16 | 240 | 1104 | 00:00:01 | | 15 | HASH GROUP BY | | 994 | 13916 | 8551024 | 00:05:35 | | 16 | VIEW | | 19877 | 278278 | 8551024 | 00:05:35 | | 17 | HASH GROUP BY | | 19877 | 775203 | 8551024 | 00:05:35 | | 18 | PARTITION RANGE SINGLE | | 19877 | 775203 | 1104 | 00:00:01 | | * 19 | TABLE ACCESS FULL | MEASURED_DATA | 19877 | 775203 | 1104 | 00:00:01 | | 20 | HASH GROUP BY | | 994 | 10934 | 1106 | 00:00:01 | | 21 | VIEW | | 994 | 10934 | 1106 | 00:00:01 | | * 22 | FILTER | | | | | | | 23 | HASH GROUP BY | | 994 | 28826 | 1106 | 00:00:01 | | 24 | PARTITION RANGE SINGLE | | 19877 | 576433 | 1104 | 00:00:01 | | * 25 | TABLE ACCESS FULL | MEASURED_DATA | 19877 | 576433 | 1104 | 00:00:01 | | * 26 | FILTER | | | | | | | 27 | HASH GROUP BY | | 1 | 91 | 3233 | 00:00:01 | | * 28 | FILTER | | | | | | | * 29 | HASH JOIN | | 59 | 5369 | 2168 | 00:00:01 | | 30 | PARTITION RANGE SINGLE | | 387 | 16641 | 1104 | 00:00:01 | | * 31 | TABLE ACCESS FULL | MEASURED_DATA | 387 | 16641 | 1104 | 00:00:01 | | 32 | TABLE ACCESS FULL | TDL_CM_CELL | 216734 | 10403232 | 1063 | 00:00:01 | | 33 | VIEW | | 1 | | 1064 | 00:00:01 | | * 34 | FILTER | | | | | | | 35 | SORT AGGREGATE | | 1 | 18 | | | | * 36 | TABLE ACCESS FULL | TDL_CM_CELL | 1 | 18 | 1064 | 00:00:01 | | 37 | SORT AGGREGATE | | 1 | 15 | | | | 38 | PARTITION RANGE SINGLE | | 16 | 240 | 1104 | 00:00:01 | | * 39 | TABLE ACCESS FULL | MEASURED_DATA | 16 | 240 | 1104 | 00:00:01 | ---------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ------------------------------------------ * 1 - filter("ROWNUM_">=90) * 2 - filter(ROWNUM<=100) * 7 - filter(CASE WHEN (SUM(CASE WHEN TO_NUMBER("LTE_RSRP")>(-105) THEN 1 ELSE 0 END )>0 AND COUNT("GRID_ID")>0 AND SUM(CASE WHEN TO_NUMBER("LTE_RSRP")>(-105) THEN 1 ELSE 0 END )/COUNT("GRID_ID")<0.95) THEN 1 ELSE 0 END >=1) * 10 - filter("GRID_ID" IS NOT NULL AND "IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss')) * 11 - filter(SUM("GR_CI")>=3) * 14 - filter("GRID_ID"=:B1 AND "IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss')) * 19 - filter("T1"."GRID_ID" IS NOT NULL AND "T1"."IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss')) * 22 - filter(CASE WHEN (SUM(CASE WHEN (TO_NUMBER("LTE_RSRP")>(-100) AND TO_NUMBER("LTE_SINR")<0) THEN 1 ELSE 0 END )>0 AND COUNT("GRID_ID")>0 AND SUM(CASE WHEN (TO_NUMBER("LTE_RSRP")>(-100) AND TO_NUMBER("LTE_SINR")<0) THEN 1 ELSE 0 END )/COUNT("GRID_ID")>0.05) THEN 1 ELSE 0 END >=1) * 25 - filter("GRID_ID" IS NOT NULL AND "IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss')) * 26 - filter(COUNT("LTE_CI")/ (SELECT COUNT("GRID_ID") FROM "SJCL"."MEASURED_DATA" "A" WHERE "A"."GRID_ID"=:B1 AND "A"."IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss'))>0.6) * 28 - filter( EXISTS (SELECT 0 FROM (SELECT COUNT(*) "SITENUM" FROM "SJCL"."TDL_CM_CELL" "TDL_CM_CELL" WHERE "REGION_NAME"=:B1 AND ("LONGITUDE">=:B2 AND "LONGITUDE"<TO_NUMBER(:B3) OR "LONGITUDE"<:B4 AND "LONGITUDE">=TO_NUMBER(:B5)) AND ("LATITUDE">=:B6 AND "LONGITUDE"<TO_NUMBER(:B7) OR "LATITUDE"<:B8 AND "LATITUDE">=TO_NUMBER(:B9)) HAVING COUNT(*)>4) "from$_subquery$_021")) * 29 - access(TO_NUMBER( REGEXP_SUBSTR ("TL"."CI",'[^-]+',1,3))*256+TO_NUMBER( REGEXP_SUBSTR ("TL"."CI",'[^-]+',1,4))=TO_NUMBER("T"."LTE_CI") AND "TL"."ENBAJ08"=TO_NUMBER("T"."LTE_TAC")) * 31 - filter("T"."GRID_ID" IS NOT NULL AND "T"."GRID_LONGITUDE" IS NOT NULL AND "T"."GRID_LATITUDE" IS NOT NULL AND "LTE_CI" IS NOT NULL AND "LTE_TAC" IS NOT NULL AND "T"."IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss')) * 34 - filter(COUNT(*)>4) * 36 - filter("REGION_NAME"=:B1 AND ("LONGITUDE">=:B2 AND "LONGITUDE"<TO_NUMBER(:B3) OR "LONGITUDE"<:B4 AND "LONGITUDE">=TO_NUMBER(:B5)) AND ("LATITUDE">=:B6 AND "LONGITUDE"<TO_NUMBER(:B7) OR "LATITUDE"<:B8 AND "LATITUDE">=TO_NUMBER(:B9))) * 39 - filter("A"."GRID_ID"=:B1 AND "A"."IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-02 23:59:59', 'syyyy-mm-dd hh24:mi:ss'))
卡住，结果无法出来。问题在于：
1.多个不当扫描measured_data
2.不当查询tdl_cm_cell，简单而然即nest loop+full scan
3.不当使用子查询
这肯定是非专业人士写的。
改造思路
1.减少表扫描次数，尽量一次，可以利用with和group by达到
2.消除子查询，改为join之类
3.对必要的表创建索引
修改之后
with x1 as (select count(grid_id) as grid_count, grid_id from SJCL.measured_data where IS_MACRO_STATION = 1 and terminal_upload_time >= to_date('2017-12-03 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-03 23:59:59', 'yyyy/mm/dd hh24:mi:ss') group by grid_id), s1 as (select city_name, county_name, grid_id, sum(rsrp_value_100) rsrpSum_100, sum(rsrp_value_105) rsrpSum_105, count(grid_id) counts from ( --3 select case when LTE_RSRP > -100 and LTE_SINR < 0 then 1 else 0 end rsrp_value_100, case when LTE_RSRP > -105 then 1 else 0 end rsrp_value_105, city_name, county_name, grid_id from SJCL.measured_data where IS_MACRO_STATION = 1 and grid_id is not null and terminal_upload_time >= to_date('2017-12-03 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-03 23:59:59', 'yyyy/mm/dd hh24:mi:ss')) t1 group by t1.city_name, t1.county_name, t1.grid_id), vw_ttl as (select t.city_name, t.county_name, t.grid_id, t. LTE_CI, t. LTE_TAC, t.grid_longitude grid_longitude, t.grid_latitude grid_latitude, count(case when t.network_type = 'LTE' then t.lte_ci when t.network_type = 'GSM' then t.gsm_cid when t.network_type = 'TD' then t.td_cid else null end) ci_count, x1.grid_count, case when x1.grid_count = 0 then 0 else count(LTE_CI) / x1.grid_count end as ci_ratio, grouping_id(t.LTE_TAC) as gid from SJCL.measured_data t join x1 on x1.grid_id = t.grid_id where t.grid_id is not null and t.is_macro_station = 1 --and t.city_name='宁德' --and t.county_name='霞浦县' and terminal_upload_time >= to_date('2017-12-03 00:00:00', 'yyyy/mm/dd hh24:mi:ss') and terminal_upload_time <= to_date('2017-12-03 23:59:59', 'yyyy/mm/dd hh24:mi:ss') group by grouping sets((t.city_name, t.county_name, t.grid_id, t.LTE_CI, x1.grid_count, t.LTE_TAC, t.grid_longitude, t.grid_latitude),(t.city_name, t.county_name, t.grid_id, t.LTE_CI, x1.grid_count))) select * from (select row_.*, rownum rownum_ from (select '弱覆盖' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select city_name, county_name, grid_id, case when rsrpSum > 0 and counts > 0 and rsrpSum / counts < 0.95 then 1 else 0 end rfgSum from (select city_name, county_name, grid_id, rsrpsum_105 as rsrpSum, counts from s1)) where rfgSum >= 1 group by city_name, county_name, grid_id union all --e1 select '无主控覆盖' as questionType, city_name as cityName, county_name countyName, grid_id gridId, 'LTE' as netWorkType from (select case when ci_count / grid_count > 0.3 then 1 else 0 end gr_ci, city_name, county_name, grid_id, LTE_CI from vw_ttl where gid = 1) group by city_name, county_name, grid_id having sum(gr_ci) >= 3 union all --e2 select '质差' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select city_name, county_name, grid_id, case when rsrpSum > 0 and counts > 0 and rsrpSum / counts > 0.05 then 1 else 0 end rfgSum from (select city_name, county_name, grid_id, rsrpsum_100 as rsrpSum, counts from s1)) where rfgSum >= 1 group by city_name, county_name, grid_id union all --e3 select '越区覆盖' as questionType, city_name as cityName, county_name as countyName, grid_id as gridId, 'LTE' as netWorkType from (select tc.*, tl.latitude, tl.longitude from (select city_name, county_name, grid_id, LTE_CI, LTE_TAC, grid_longitude, grid_latitude, ci_ratio from vw_ttl where gid = 0 and ci_ratio > 0.6) tc, SJCL.tdl_cm_cell tl where tc.lte_ci = to_char(tl.eci) and tl.ENBAJ08 = tc.lte_tac) tt where (select /*+index(s IDX_TDL_CM_CELL_CITYNAME) */ count(1) as siteNum from SJCL.tdl_cm_cell s where region_name = tt.city_name and ((longitude >= tt.longitude and longitude < tt.grid_longitude) or (longitude < tt.longitude and longitude >= tt.grid_longitude)) and ((latitude >= tt.latitude and longitude < tt.grid_latitude) or (latitude < tt.latitude and latitude >= tt.grid_latitude))) > 4 --e4 ) row_ where rownum <= 100) where rownum_ >= 1
计划如下：
Plan Hash Value : 3577282419
-------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost | Time |
-------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 100 | 41200 | 5905 | 00:00:01 |
| 1 | TEMP TABLE TRANSFORMATION | | | | | |
| 2 | LOAD AS SELECT | SYS_TEMP_0FDA2B063_13545153 | | | | |
| 3 | HASH GROUP BY | | 18603 | 576693 | 554 | 00:00:01 |
| 4 | PARTITION RANGE SINGLE | | 18603 | 576693 | 553 | 00:00:01 |
| * 5 | TABLE ACCESS FULL | MEASURED_DATA | 18603 | 576693 | 553 | 00:00:01 |
| 6 | LOAD AS SELECT | SYS_TEMP_0FDA2B064_13545153 | | | | |
| 7 | SORT GROUP BY ROLLUP | | 38788 | 2831524 | 1782 | 00:00:01 |
| * 8 | HASH JOIN | | 38788 | 2831524 | 1110 | 00:00:01 |
| 9 | VIEW | | 8799 | 158382 | 557 | 00:00:01 |
| 10 | HASH GROUP BY | | 8799 | 140784 | 557 | 00:00:01 |
| 11 | PARTITION RANGE SINGLE | | 71006 | 1136096 | 553 | 00:00:01 |
| * 12 | TABLE ACCESS FULL | MEASURED_DATA | 71006 | 1136096 | 553 | 00:00:01 |
| 13 | PARTITION RANGE SINGLE | | 18603 | 1023165 | 553 | 00:00:01 |
| * 14 | TABLE ACCESS FULL | MEASURED_DATA | 18603 | 1023165 | 553 | 00:00:01 |
| * 15 | VIEW | | 100 | 41200 | 3568 | 00:00:01 |
| * 16 | COUNT STOPKEY | | | | | |
| 17 | VIEW | | 39189 | 15636411 | 3568 | 00:00:01 |
| 18 | UNION-ALL | | | | | |
| 19 | HASH GROUP BY | | 18603 | 725517 | 25 | 00:00:01 |
| * 20 | VIEW | | 18603 | 725517 | 23 | 00:00:01 |
| 21 | TABLE ACCESS FULL | SYS_TEMP_0FDA2B063_13545153 | 18603 | 576693 | 23 | 00:00:01 |
| * 22 | FILTER | | | | | |
| 23 | HASH GROUP BY | | 1940 | 100880 | 110 | 00:00:01 |
| * 24 | VIEW | | 38788 | 2016976 | 107 | 00:00:01 |
| 25 | TABLE ACCESS FULL | SYS_TEMP_0FDA2B064_13545153 | 38788 | 2831524 | 107 | 00:00:01 |
| 26 | HASH GROUP BY | | 18603 | 725517 | 25 | 00:00:01 |
| * 27 | VIEW | | 18603 | 725517 | 23 | 00:00:01 |
| 28 | TABLE ACCESS FULL | SYS_TEMP_0FDA2B063_13545153 | 18603 | 576693 | 23 | 00:00:01 |
| * 29 | FILTER | | | | | |
| * 30 | HASH JOIN | | 43 | 41022 | 3279 | 00:00:01 |
| 31 | TABLE ACCESS FULL | TDL_CM_CELL | 216734 | 5418350 | 1063 | 00:00:01 |
| * 32 | VIEW | | 38788 | 36034052 | 107 | 00:00:01 |
| 33 | TABLE ACCESS FULL | SYS_TEMP_0FDA2B064_13545153 | 38788 | 2831524 | 107 | 00:00:01 |
| 34 | SORT AGGREGATE | | 1 | 18 | | |
| 35 | CONCATENATION | | | | | |
| * 36 | INDEX RANGE SCAN | IDX_TDL_CM_CELL_CITYNAME | 1 | 18 | 3 | 00:00:01 |
| * 37 | INDEX RANGE SCAN | IDX_TDL_CM_CELL_CITYNAME | 1 | 18 | 3 | 00:00:01 |
-------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
------------------------------------------
* 5 - filter("GRID_ID" IS NOT NULL AND "IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-03 23:59:59', 'syyyy-mm-dd hh24:mi:ss'))
* 8 - access("X1"."GRID_ID"="T"."GRID_ID")
* 12 - filter("IS_MACRO_STATION"=1 AND "TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-03 23:59:59', 'syyyy-mm-dd hh24:mi:ss'))
* 14 - filter("T"."GRID_ID" IS NOT NULL AND "T"."IS_MACRO_STATION"=1 AND "T"."TERMINAL_UPLOAD_TIME"<=TO_DATE(' 2017-12-03 23:59:59', 'syyyy-mm-dd hh24:mi:ss'))
* 15 - filter("ROWNUM_">=1)
* 16 - filter(ROWNUM<=100)
* 20 - filter(CASE WHEN ("RSRPSUM_105">0 AND "COUNTS">0 AND "RSRPSUM_105"/"COUNTS"<0.95) THEN 1 ELSE 0 END >=1)
* 22 - filter(SUM(CASE WHEN "CI_COUNT"/"GRID_COUNT">0.3 THEN 1 ELSE 0 END )>=3)
* 24 - filter("GID"=1)
* 27 - filter(CASE WHEN ("RSRPSUM_100">0 AND "COUNTS">0 AND "RSRPSUM_100"/"COUNTS">0.05) THEN 1 ELSE 0 END >=1)
* 29 - filter( (SELECT /*+ INDEX ("S" "IDX_TDL_CM_CELL_CITYNAME") */ COUNT(*) FROM "SJCL"."TDL_CM_CELL" "S"<not feasible>)
* 30 - access("LTE_CI"=TO_CHAR("TL"."ECI") AND "TL"."ENBAJ08"=TO_NUMBER("LTE_TAC"))
* 32 - filter("GID"=0 AND "CI_RATIO">0.6)
* 36 - access("REGION_NAME"=:B1 AND "LONGITUDE">=TO_NUMBER(:B2) AND "LONGITUDE"<:B3)
* 36 - filter("LATITUDE">=:B1 AND "LONGITUDE"<TO_NUMBER(:B2) OR "LATITUDE"<:B3 AND "LATITUDE">=TO_NUMBER(:B4))
* 37 - access("REGION_NAME"=:B1 AND "LONGITUDE">=:B2 AND "LONGITUDE"<TO_NUMBER(:B3))
* 37 - filter(("LATITUDE">=:B1 AND "LONGITUDE"<TO_NUMBER(:B2) OR "LATITUDE"<:B3 AND "LATITUDE">=TO_NUMBER(:B4)) AND (LNNVL("LONGITUDE"<:B5) OR LNNVL("LONGITUDE">=TO_NUMBER(:B6))))
结果：1秒内出现结果
效率提升几千倍！
所以，把专业的事情给专业的人做很重要。做前端开发的并不擅长数据库设计和SQL编写。
