当前位置：网站首页>Illegal behavior analysis 1
Illegal behavior analysis 1
2022-07-07 23:24:00 【Little fat is so fierce!】
spark-sql> select tt1.tjrq
> ,tt1.dr_sgs
> ,tt1.jn_sgs
> ,tt1.qntq_sgs
>
> ,tt1.dr_swsgs
> ,tt1.jn_swsgs
> ,tt1.qntq_swsgs
>
> ,tt1.dr_swrs
> ,tt1.jn_swrs
> ,tt1.qntq_swrs
>
> ,NVL(round((abs(tt1.dr_sgs-tt1.qntq_sgs)/NVL(tt1.qntq_sgs,1))*100,2),0) as tb_sgs
> ,if(tt1.dr_sgs-tt1.qntq_sgs>0," rising ",' falling ') as tb_sgs_bj
>
> ,NVL(round((abs(tt1.dr_swsgs-tt1.qntq_swsgs)/NVL(tt1.qntq_swsgs,1))*100,2),0) as tb_swsgs
> ,if(tt1.dr_swsgs-tt1.qntq_swsgs>0," rising ",' falling ') as tb_swsgs_bj
>
> ,NVL(round((abs(tt1.dr_swrs-tt1.qntq_swrs)/NVL(tt1.qntq_swrs,1))*100,2),0) as tb_swrs
> ,if(tt1.dr_swrs-tt1.qntq_swrs>0," rising ",' falling ') as tb_swrs_bj
> from(
> select t1.tjrq
> ,t1.dr_sgs
> ,t1.dr_swsgs
> ,t1.dr_swrs
>
> ,sum(t1.dr_sgs)over (partition by substr(t1.tjrq,1,4))as jn_sgs
> ,lag(t1.dr_sgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_sgs
>
> ,sum(t1.dr_swsgs)over (partition by substr(t1.tjrq,1,4))as jn_swsgs
> ,lag(t1.dr_swsgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swsgs
>
> ,sum(t1.dr_swrs)over (partition by substr(t1.tjrq,1,4))as jn_swrs
> ,lag(t1.dr_swrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swrs
> from(
> select substr(sgfssj,1,10)as tjrq
> ,count(1)as dr_sgs -- Number of accidents of the day
> ,sum(if(swrs7>0,1,0))as dr_swsgs -- Number of fatal accidents on that day
> ,sum(swrs7)as dr_swrs -- The death toll of the day
> from dwd.base_acd_file
> group by substr(sgfssj,1,10)
> )t1
> )tt1
> order by tt1.tjrq;
Time taken: 6.484 seconds, Fetched 4966 row(s)
22/07/05 15:46:19 INFO thriftserver.SparkSQLCLIDriver: Time taken: 6.484 seconds, Fetched 4966 row(s)spark-sql> select tt1.tjrq
> ,tt1.dr_sgs
> ,tt1.jn_sgs
> ,tt1.qntq_sgs
>
> ,tt1.dr_swsgs
> ,tt1.jn_swsgs
> ,tt1.qntq_swsgs
>
> ,tt1.dr_swrs
> ,tt1.jn_swrs
> ,tt1.qntq_swrs
>
> ,tt1.dr_ssrs
> ,tt1.jn_ssrs
> ,tt1.qntq_ssrs
>
> ,tt1.dr_zjccss
> ,tt1.jn_zjccss
> ,tt1.qntq_zjccss
>
> ,NVL(round((abs(tt1.dr_sgs-tt1.qntq_sgs)/NVL(tt1.qntq_sgs,1))*100,2),0) as tb_sgs
> ,if(tt1.dr_sgs-tt1.qntq_sgs>0," rising ",' falling ') as tb_sgs_bj
>
> ,NVL(round((abs(tt1.dr_swsgs-tt1.qntq_swsgs)/NVL(tt1.qntq_swsgs,1))*100,2),0) as tb_swsgs
> ,if(tt1.dr_swsgs-tt1.qntq_swsgs>0," rising ",' falling ') as tb_swsgs_bj
>
> ,NVL(round((abs(tt1.dr_swrs-tt1.qntq_swrs)/NVL(tt1.qntq_swrs,1))*100,2),0) as tb_swrs
> ,if(tt1.dr_swrs-tt1.qntq_swrs>0," rising ",' falling ') as tb_swrs_bj
>
> ,NVL(round((abs(tt1.dr_ssrs-tt1.qntq_ssrs)/NVL(tt1.qntq_ssrs,1))*100,2),0) as tb_ssrs
> ,if(tt1.dr_ssrs-tt1.qntq_ssrs>0," rising ",' falling ') as tb_ssrs_bj
>
> ,NVL(round((abs(tt1.dr_zjccss-tt1.qntq_zjccss)/NVL(tt1.qntq_zjccss,1))*100,2),0) as tb_zjccss
> ,if(tt1.dr_zjccss-tt1.qntq_zjccss>0," rising ",' falling ') as tb_zjccss_bj
> from(
> select t1.tjrq
> ,t1.dr_sgs
> ,t1.dr_swsgs
> ,t1.dr_swrs
> ,t1.dr_ssrs
> ,t1.dr_zjccss
>
> ,sum(t1.dr_sgs)over (partition by substr(t1.tjrq,1,4))as jn_sgs
> ,lag(t1.dr_sgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_sgs
>
> ,sum(t1.dr_swsgs)over (partition by substr(t1.tjrq,1,4))as jn_swsgs
> ,lag(t1.dr_swsgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swsgs
>
> ,sum(t1.dr_swrs)over (partition by substr(t1.tjrq,1,4))as jn_swrs
> ,lag(t1.dr_swrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swrs
>
> ,sum(t1.dr_ssrs)over (partition by substr(t1.tjrq,1,4))as jn_ssrs
> ,lag(t1.dr_ssrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_ssrs
>
> ,sum(t1.dr_zjccss)over (partition by substr(t1.tjrq,1,4))as jn_zjccss
> ,lag(t1.dr_zjccss,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_zjccss
> from(
> select substr(sgfssj,1,10)as tjrq
> ,count(1)as dr_sgs -- Number of accidents of the day
> ,sum(if(swrs7>0,1,0))as dr_swsgs -- Number of fatal accidents on that day
> ,sum(swrs7)as dr_swrs -- The death toll of the day
> ,sum(ssrs7)as dr_ssrs -- Number of injured on that day
> ,sum(zjccss)as dr_zjccss -- Direct property loss on that day
> from dwd.base_acd_file
> group by substr(sgfssj,1,10)
> )t1
> )tt1
> order by tt1.tjrq;
Time taken: 11.104 seconds, Fetched 4966 row(s)
22/07/05 15:56:13 INFO thriftserver.SparkSQLCLIDriver: Time taken: 11.104 seconds, Fetched 4966 row(s)spark-sql> select tt1.tjrq
>
> ,tt1.dr_sgs
> ,tt1.jn_sgs
> ,tt1.qntq_sgs
> ,NVL(round((abs(tt1.dr_sgs-tt1.qntq_sgs)/NVL(tt1.qntq_sgs,1))*100,2),0) as tb_sgs
> ,if(tt1.dr_sgs-tt1.qntq_sgs>0," rising ",' falling ') as tb_sgs_bj
>
> ,tt1.dr_swsgs
> ,tt1.jn_swsgs
> ,tt1.qntq_swsgs
> ,NVL(round((abs(tt1.dr_swsgs-tt1.qntq_swsgs)/NVL(tt1.qntq_swsgs,1))*100,2),0) as tb_swsgs
> ,if(tt1.dr_swsgs-tt1.qntq_swsgs>0," rising ",' falling ') as tb_swsgs_bj
>
> ,tt1.dr_swrs
> ,tt1.jn_swrs
> ,tt1.qntq_swrs
> ,NVL(round((abs(tt1.dr_swrs-tt1.qntq_swrs)/NVL(tt1.qntq_swrs,1))*100,2),0) as tb_swrs
> ,if(tt1.dr_swrs-tt1.qntq_swrs>0," rising ",' falling ') as tb_swrs_bj
>
> ,tt1.dr_ssrs
> ,tt1.jn_ssrs
> ,tt1.qntq_ssrs
> ,NVL(round((abs(tt1.dr_ssrs-tt1.qntq_ssrs)/NVL(tt1.qntq_ssrs,1))*100,2),0) as tb_ssrs
> ,if(tt1.dr_ssrs-tt1.qntq_ssrs>0," rising ",' falling ') as tb_ssrs_bj
>
> ,tt1.dr_zjccss
> ,tt1.jn_zjccss
> ,tt1.qntq_zjccss
> ,NVL(round((abs(tt1.dr_zjccss-tt1.qntq_zjccss)/NVL(tt1.qntq_zjccss,1))*100,2),0) as tb_zjccss
> ,if(tt1.dr_zjccss-tt1.qntq_zjccss>0," rising ",' falling ') as tb_zjccss_bj
> from(
> select t1.tjrq
>
> ,t1.dr_sgs
> ,sum(t1.dr_sgs)over (partition by substr(t1.tjrq,1,4))as jn_sgs
> ,lag(t1.dr_sgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_sgs
>
> ,t1.dr_swsgs
> ,sum(t1.dr_swsgs)over (partition by substr(t1.tjrq,1,4))as jn_swsgs
> ,lag(t1.dr_swsgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swsgs
>
> ,t1.dr_swrs
> ,sum(t1.dr_swrs)over (partition by substr(t1.tjrq,1,4))as jn_swrs
> ,lag(t1.dr_swrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swrs
>
> ,t1.dr_ssrs
> ,sum(t1.dr_ssrs)over (partition by substr(t1.tjrq,1,4))as jn_ssrs
> ,lag(t1.dr_ssrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_ssrs
>
> ,t1.dr_zjccss
> ,sum(t1.dr_zjccss)over (partition by substr(t1.tjrq,1,4))as jn_zjccss
> ,lag(t1.dr_zjccss,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_zjccss
> from(
> select substr(sgfssj,1,10)as tjrq
> ,count(1)as dr_sgs -- Number of accidents of the day
> ,sum(if(swrs7>0,1,0))as dr_swsgs -- Number of fatal accidents on that day
> ,sum(swrs7)as dr_swrs -- The death toll of the day
> ,sum(ssrs7)as dr_ssrs -- Number of injured on that day
> ,sum(zjccss)as dr_zjccss -- Direct property loss on that day
> from dwd.base_acd_file
> group by substr(sgfssj,1,10)
> )t1
> )tt1
> order by tt1.tjrq;
Time taken: 9.019 seconds, Fetched 4966 row(s)
22/07/05 16:06:51 INFO thriftserver.SparkSQLCLIDriver: Time taken: 9.019 seconds, Fetched 4966 row(s)spark-sql> create database dws;
Time taken: 0.829 seconds
22/07/05 16:08:44 INFO thriftserver.SparkSQLCLIDriver: Time taken: 0.829 seconds
spark-sql> use dws;
Time taken: 0.032 seconds
22/07/05 16:08:50 INFO thriftserver.SparkSQLCLIDriver: Time taken: 0.032 seconds
spark-sql> CREATE TABLE dws.app_acd_mrjq(
> tjrq STRING COMMENT ' Date of Statistics ',
>
> dr_sgs int COMMENT ' Number of accidents of the day ',
> jn_sgs int COMMENT ' Number of accidents this year ',
> tb_sgs double COMMENT ' Year on year number of accidents ',
> tb_sgs_bj STRING COMMENT ' Year on year accident number mark ',
>
> dr_swsgs int COMMENT ' Number of fatal accidents on that day ',
> jn_swsgs int COMMENT ' The number of fatal accidents this year ',
> tb_swsgs double COMMENT ' Number of fatal accidents year on year ',
> tb_swsgs_bj STRING COMMENT ' The number of fatal accidents marked on a year-on-year basis ',
>
> dr_swrs int COMMENT ' The death toll of the day ',
> jn_swrs int COMMENT ' The number of deaths this year ',
> tb_swrs double COMMENT ' Year on year death toll ',
> tb_swrs_bj STRING COMMENT ' Year on year mortality marker ',
>
> dr_ssrs int COMMENT ' Number of injured on that day ',
> jn_ssrs int COMMENT ' The number of injured this year ',
> tb_ssrs double COMMENT ' Year on year number of injuries ',
> tb_ssrs_bj STRING COMMENT ' Year on year injury mark ',
>
> dr_zjccss int COMMENT ' Property loss on that day ',
> jn_zjccss int COMMENT ' Property losses this year ',
> tb_zjccss double COMMENT ' Year on year property losses ',
> tb_zjccss_bj STRING COMMENT ' Year on year property loss mark '
> )
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY '^'
> STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat'
> OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
> location '/car/dws/app_acd_mrjq';
Time taken: 0.186 seconds
22/07/05 16:11:50 INFO thriftserver.SparkSQLCLIDriver: Time taken: 0.186 secondsspark-sql> INSERT overwrite table dws.app_acd_mrjq
> select tt1.tjrq
> ,tt1.dr_sgs
> ,tt1.jn_sgs
> ,NVL(round((abs(tt1.dr_sgs-tt1.qntq_sgs)/NVL(tt1.qntq_sgs,1))*100,2),0) as tb_sgs
> ,if(tt1.dr_sgs-tt1.qntq_sgs>0," rising ",' falling ') as tb_sgs_bj
> ,tt1.dr_swsgs
> ,tt1.jn_swsgs
> ,NVL(round((abs(tt1.dr_swsgs-tt1.qntq_swsgs)/NVL(tt1.qntq_swsgs,1))*100,2),0) as tb_swsgs
> ,if(tt1.dr_swsgs-tt1.qntq_swsgs>0," rising ",' falling ') as tb_swsgs_bj
> ,tt1.dr_swrs
> ,tt1.jn_swrs
> ,NVL(round((abs(tt1.dr_swrs-tt1.qntq_swrs)/NVL(tt1.qntq_swrs,1))*100,2),0) as tb_swrs
> ,if(tt1.dr_swrs-tt1.qntq_swrs>0," rising ",' falling ') as tb_swrs_bj
> ,tt1.dr_ssrs
> ,tt1.jn_ssrs
> ,NVL(round((abs(tt1.dr_ssrs-tt1.qntq_ssrs)/NVL(tt1.qntq_ssrs,1))*100,2),0) as tb_ssrs
> ,if(tt1.dr_ssrs-tt1.qntq_ssrs>0," rising ",' falling ') as tb_ssrs_bj
> ,tt1.dr_zjccss
> ,tt1.jn_zjccss
> ,NVL(round((abs(tt1.dr_zjccss-tt1.qntq_zjccss)/NVL(tt1.qntq_zjccss,1))*100,2),0) as tb_zjccss
> ,if(tt1.dr_zjccss-tt1.qntq_zjccss>0," rising ",' falling ') as tb_zjccss_bj
> from(
> select t1.tjrq
> ,t1.dr_sgs
> ,sum(t1.dr_sgs)over (partition by substr(t1.tjrq,1,4))as jn_sgs
> ,lag(t1.dr_sgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_sgs
> ,t1.dr_swsgs
> ,sum(t1.dr_swsgs)over (partition by substr(t1.tjrq,1,4))as jn_swsgs
> ,lag(t1.dr_swsgs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swsgs
> ,t1.dr_swrs
> ,sum(t1.dr_swrs)over (partition by substr(t1.tjrq,1,4))as jn_swrs
> ,lag(t1.dr_swrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_swrs
> ,t1.dr_ssrs
> ,sum(t1.dr_ssrs)over (partition by substr(t1.tjrq,1,4))as jn_ssrs
> ,lag(t1.dr_ssrs,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_ssrs
> ,t1.dr_zjccss
> ,sum(t1.dr_zjccss)over (partition by substr(t1.tjrq,1,4))as jn_zjccss
> ,lag(t1.dr_zjccss,1,1)over (partition by substr(t1.tjrq,6,5)order by substr(t1.tjrq,1,4))as qntq_zjccss
> from(
> select substr(sgfssj,1,10)as tjrq
> ,count(1)as dr_sgs -- Number of accidents of the day
> ,sum(if(swrs7>0,1,0))as dr_swsgs -- Number of fatal accidents on that day
> ,sum(swrs7)as dr_swrs -- The death toll of the day
> ,sum(ssrs7)as dr_ssrs -- Number of injured on that day
> ,sum(zjccss)as dr_zjccss -- Direct property loss on that day
> from dwd.base_acd_file
> group by substr(sgfssj,1,10)
> )t1
> )tt1;
spark-sql> select * from dws.app_acd_mrjq;
Time taken: 0.271 seconds, Fetched 4966 row(s)
22/07/05 16:23:40 INFO thriftserver.SparkSQLCLIDriver: Time taken: 0.271 seconds, Fetched 4966 row(s)spark-sql> select substr(fxjg,1,4) as fxjg,wfxw1 as wfxw,jtfs,dllx,xxly,wfdd,wfsj,cjbj,jllx from dwd.base_vio_force union all
> select substr(fxjg,1,4) as fxjg,wfxw2 as wfxw,jtfs,dllx,xxly,wfdd,wfsj,cjbj,jllx from dwd.base_vio_force union all
> select substr(fxjg,1,4) as fxjg,wfxw3 as wfxw,jtfs,dllx,xxly,wfdd,wfsj,cjbj,jllx from dwd.base_vio_force union all
> select substr(fxjg,1,4) as fxjg,wfxw4 as wfxw,jtfs,dllx,xxly,wfdd,wfsj,cjbj,jllx from dwd.base_vio_force union all
> select substr(fxjg,1,4) as fxjg,wfxw5 as wfxw,jtfs,dllx,xxly,wfdd,wfsj,cjbj,jllx from dwd.base_vio_force union all
> select substr(fxjg,1,4) as fxjg,wfxw,jtfs,dllx,xxly,wfdd,wfsj,'1' cjbj,jllx from dwd.base_vio_violation
> ;
Time taken: 4.433 seconds, Fetched 262227 row(s)
22/07/06 16:16:11 INFO thriftserver.SparkSQLCLIDriver: Time taken: 4.433 seconds, Fetched 262227 row(s)
spark-sql> select substr(fxjg,1,4)as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,cjbj
> ,jllx
> from dwd.base_vio_force
> lateral view explode(array(wfxw1,wfxw2,wfxw3,wfxw4,wfxw5))v as wfxw
> union
> select substr(fxjg,1,4) as fxjg,wfxw,jtfs,dllx,xxly,wfdd,wfsj,'1' cjbj,jllx from dwd.base_vio_violation
> ;
Time taken: 3.768 seconds, Fetched 129456 row(s)
22/07/06 16:24:40 INFO thriftserver.SparkSQLCLIDriver: Time taken: 3.768 seconds, Fetched 129456 row(s)
spark-sql> select *
> from(
> select substr(fxjg,1,4)as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,cjbj
> ,jllx
> from dwd.base_vio_force
> lateral view explode(array(wfxw1,wfxw2,wfxw3,wfxw4,wfxw5))v as wfxw
> union
> select substr(fxjg,1,4) as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,'1' cjbj
> ,jllx from dwd.base_vio_violation
> )t1 where t1.fxjg='5306' and t1.wfxw='1083B';
Time taken: 1.654 seconds, Fetched 443 row(s)
22/07/06 16:30:16 INFO thriftserver.SparkSQLCLIDriver: Time taken: 1.654 seconds, Fetched 443 row(s)
spark-sql> select *
> from(
> select substr(fxjg,1,4)as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,cjbj
> ,jllx
> from dwd.base_vio_force
> lateral view explode(array(wfxw1,wfxw2,wfxw3,wfxw4,wfxw5))v as wfxw
> union
> select substr(fxjg,1,4) as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,'1' cjbj
> ,jllx
> from dwd.base_vio_violation
> )t1 where t1.fxjg='5306' and t1.wfxw='1083B'
> order by t1.wfsj
> ;
Time taken: 2.812 seconds, Fetched 443 row(s)
22/07/06 16:33:18 INFO thriftserver.SparkSQLCLIDriver: Time taken: 2.812 seconds, Fetched 443 row(s)spark-sql> select date_format('2020-10-16 01:36:24','yyyy-MM-dd');
spark-sql> select date_format('2020-10-16 01:36:24','yyyy/MM/dd');spark-sql> select ttt1.tjrq
> ,ttt1.dr_wfs
> ,ttt1.jn_wfs
> ,ttt1.qntq_wfs
> ,NVL(round((abs(ttt1.dr_wfs-ttt1.qntq_wfs)/NVL(ttt1.qntq_wfs,1))*100,2),0) as tb
> from(
> select tt1.tjrq
> ,tt1.dr_wfs
> ,sum(tt1.dr_wfs)over (partition by year(tt1.tjrq))as jn_wfs
> ,lag(tt1.dr_wfs,1,1)over (partition by date_format(tt1.tjrq,'MM-dd')order by year(tt1.tjrq))as qntq_wfs
> from(
> select date_format(t1.wfsj,'yyyy-MM-dd')as tjrq
> ,count(1)as dr_wfs -- Illegal amount of the day
> from(
> select substr(fxjg,1,4)as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,cjbj
> ,jllx
> from dwd.base_vio_force
> lateral view explode(array(wfxw1,wfxw2,wfxw3,wfxw4,wfxw5))v as wfxw
> union
> select substr(fxjg,1,4) as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,'1' cjbj
> ,jllx
> from dwd.base_vio_violation
> )t1 where t1.wfxw is not null
> group by date_format(t1.wfsj,'yyyy-MM-dd')
> )tt1
> )ttt1
>
> ;
Time taken: 8.772 seconds, Fetched 1021 row(s)
22/07/06 16:57:47 INFO thriftserver.SparkSQLCLIDriver: Time taken: 8.772 seconds, Fetched 1021 row(s)
spark-sql> select ttt1.tjrq
> ,ttt1.dr_wfs
> ,ttt1.jn_wfs
> ,ttt1.qntq_wfs
> ,NVL(round((abs(ttt1.dr_wfs-ttt1.qntq_wfs)/NVL(ttt1.qntq_wfs,1))*100,2),0) as tb
> ,if(ttt1.dr_wfs>ttt1.qntq_wfs,' rising ',' falling ') as tbbj
> from(
> select tt1.tjrq
> ,tt1.dr_wfs
> ,sum(tt1.dr_wfs)over (partition by year(tt1.tjrq))as jn_wfs
> ,lag(tt1.dr_wfs,1,1)over (partition by date_format(tt1.tjrq,'MM-dd')order by year(tt1.tjrq))as qntq_wfs
> from(
> select date_format(t1.wfsj,'yyyy-MM-dd')as tjrq
> ,count(1)as dr_wfs -- Illegal amount of the day
> from(
> select substr(fxjg,1,4)as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,cjbj
> ,jllx
> from dwd.base_vio_force
> lateral view explode(array(wfxw1,wfxw2,wfxw3,wfxw4,wfxw5))v as wfxw
> union
> select substr(fxjg,1,4) as fxjg
> ,wfxw
> ,jtfs
> ,dllx
> ,xxly
> ,wfdd
> ,wfsj
> ,'1' cjbj
> ,jllx
> from dwd.base_vio_violation
> )t1 where t1.wfxw is not null
> group by date_format(t1.wfsj,'yyyy-MM-dd')
> )tt1
> )ttt1
> ;
Time taken: 5.995 seconds, Fetched 1021 row(s)
22/07/06 17:01:35 INFO thriftserver.SparkSQLCLIDriver: Time taken: 5.995 seconds, Fetched 1021 row(s)边栏推荐
- Adrnoid Development Series (XXV): create various types of dialog boxes using alertdialog
- MATLAB signal processing [Q & A essays · 2]
- FreeLink开源呼叫中心设计思想
- Gee (III): calculate the correlation coefficient between two bands and the corresponding p value
- Count the top 10 films at the box office and save them in another file
- LDO稳压芯片-内部框图及选型参数
- 网络安全-联合查询注入
- Experience sharing of system architecture designers in preparing for the exam: the direction of paper writing
- 做自媒体视频剪辑怎么赚钱呢？
- Grid
猜你喜欢
ROS2专题（03）：ROS1和ROS2的区别【02】
![[microservices SCG] gateway integration Sentinel](/img/f3/410d7228b4b253ebf41015a785099f.png)
[microservices SCG] gateway integration Sentinel
经纬度PLT文件格式说明
十四、数据库的导出和导入的两种方法
leetcode-520. 检测大写字母-js
三问TDM
Matlab SEIR infectious disease model prediction
Vulnerability recurrence ----- 49. Apache airflow authentication bypass (cve-2020-17526)
Add data analysis tools in Excel
LDO voltage stabilizing chip - internal block diagram and selection parameters
随机推荐
Bea-3xxxxx error code
Oracle database backup and recovery
谷歌浏览器怎么登录及开启同步功能
网络安全-burpsuit
移动端异构运算技术 - GPU OpenCL 编程（基础篇）
三问TDM
Unity3d Learning Notes 6 - GPU instantiation (1)
Adrnoid开发系列（二十五）：使用AlertDialog创建各种类型的对话框
VS扩展工具笔记
产业共融新势能，城链科技数字峰会厦门站成功举办
Solve the problem of duplicate request resource paths /o2o/shopadmin/o2o/shopadmin/getproductbyid
Unity3D学习笔记6——GPU实例化(1)
Installing spss25
The 19th Zhejiang Provincial College Programming Contest VP record + supplementary questions
2022 届的应届生都找到工作了吗?做自媒体可以吗？
网格（Grid）
【编译原理】词法分析设计实现
Dynamics 365 查找字段过滤
Inftnews | the wide application of NFT technology and its existing problems
力扣解法汇总648-单词替换