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 ( --
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。
