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insert overwrite table internal_platform_db.shuffle_split_tuning_rule_hit_task_info_query_engine_021 partition (databus_imp_date = '20260507')
with spark_props as
(
select
t1.app_id
,max(spark_partition_min) spark_partition_min
,max(spark_partition_max) spark_partition_max
,max(round(ifnull(spark_task_shuffle_size,'')/(1024*1024))) spark_task_shuffle_size
,max(spark_shuffle_sort_bypassMergeThreshold) spark_shuffle_sort_bypassMergeThreshold
,max(spark_default_parallelism) spark_default_parallelism
,max(spark_sql_shuffle_partitions) spark_sql_shuffle_partitions
,max(mapreduce_input_fileinputformat_split_minsize) mapreduce_input_fileinputformat_split_minsize
,max(mapreduce_input_fileinputformat_split_maxsize) mapreduce_input_fileinputformat_split_maxsize
,max(mapreduce_input_fileinputformat_split_minsize_per_node) mapreduce_input_fileinputformat_split_minsize_per_node
,max(mapreduce_input_fileinputformat_split_minsize_per_rack) mapreduce_input_fileinputformat_split_minsize_per_rack
from
(
select
app_id
,max(spark_partition_max) spark_partition_max
,max(spark_task_shuffle_size) spark_task_shuffle_size
,max(spark_default_parallelism) spark_default_parallelism
,max(spark_sql_shuffle_partitions) spark_sql_shuffle_partitions
from internal_platform_db.nextgen_platform_dsl_spark_props_fht0_query_engine_021
where databus_imp_date >= '2026050700' and databus_imp_date <= '2026050723'
group by app_id
) t1
left join
(
select
app_id
,max(spark_partition_min) spark_partition_min
,max(spark_shuffle_sort_bypassMergeThreshold) spark_shuffle_sort_bypassMergeThreshold
,max(mapreduce_input_fileinputformat_split_minsize) mapreduce_input_fileinputformat_split_minsize
,max(mapreduce_input_fileinputformat_split_maxsize) mapreduce_input_fileinputformat_split_maxsize
,max(mapreduce_input_fileinputformat_split_minsize_per_node) mapreduce_input_fileinputformat_split_minsize_per_node
,max(mapreduce_input_fileinputformat_split_minsize_per_rack) mapreduce_input_fileinputformat_split_minsize_per_rack
from internal_platform_db.ods_spark_props_extra_query_engine_021
where dt = '20260507'
group by app_id
) t2
on t1.app_id=t2.app_id
group by t1.app_id
),
app_info as
(
select
t1.*
,dw_appgroup
,case when (project_id is null or project_id = '') then 'us' else 'datawd' end tag
from
(
select *
from internal_platform_db.deep_tuning_rule_hit_app_info_query_engine_021
where databus_imp_date = '20260507' and stage_type = 'shuffleInputStage'
) t1
join
(
select
task_id
,max(project_id) project_id
,max(dw_appgroup) dw_appgroup
from internal_platform_db.nextgen_platform_dsl_us_task_detail_fdt0_query_engine_021
where databus_imp_date = '20260507'
group by task_id
) t2
on t1.usp_task_id=t2.task_id
union all
select
t1.*
,dw_appgroup
,'gputj' tag
from
(
select *
from internal_platform_db.deep_tuning_rule_hit_app_info_query_engine_021
where databus_imp_date = '20260507' and stage_type = 'shuffleInputStage'
) t1
join
(
select
task_id
,max(app_group_id) dw_appgroup
from internal_platform_db.nextgen_platform_dsl_gputj_task_detail_fdt0_query_engine_021
where databus_imp_date >= '2026050700' and databus_imp_date <= '2026050723'
group by task_id
) t2
on t1.usp_task_id=t2.task_id
),
task_info as
(
select
usp_task_id
,t1.app_id app_id
,app_time_usage
,dw_appgroup
,tag
,product_name
,shuffle_split
,max_shuffle_stage_task_num
,shuffle_stage_time
,shuffle_stage_task_time_50th
,shuffle_stage_task_time_90th
,spark_partition_min
,spark_partition_max
,spark_task_shuffle_size
,spark_default_parallelism
,spark_sql_shuffle_partitions
,spark_shuffle_sort_bypassMergeThreshold
,spark_version
,start_time
,end_time
,row_number() over (partition by usp_task_id order by app_time_usage desc) as rk
from
(
select
usp_task_id
,a.app_id app_id
,dw_appgroup
,tag
,app_time_usage
,spark_version
,case when
( (spark_version <>'2.1.0' and (spark_default_parallelism is not null and spark_default_parallelism <>'') and cast(task_num as int)>=cast(spark_default_parallelism as int))
or
(spark_version<>'2.1.0'and (spark_sql_shuffle_partitions is not null and spark_sql_shuffle_partitions <>'') and cast(task_num as int)>=cast(spark_sql_shuffle_partitions as int))
or
(spark_version='2.1.0' and (spark_partition_max is not null and spark_partition_max <>'') and cast(task_num as int)>=cast(spark_partition_max as int))
or
(spark_version='2.1.0' and (spark_partition_max ='' or spark_partition_max is null))
or
(spark_version<>'2.1.0' and (spark_default_parallelism ='' or spark_default_parallelism is null) and (spark_sql_shuffle_partitions ='' or spark_sql_shuffle_partitions is null))
) then '1' else '0' end as shuffle_split
,task_num max_shuffle_stage_task_num
,stage_time shuffle_stage_time
,task_time_50th shuffle_stage_task_time_50th
,task_time_90th shuffle_stage_task_time_90th
,spark_partition_min
,spark_partition_max
,spark_task_shuffle_size
,spark_default_parallelism
,spark_sql_shuffle_partitions
,spark_shuffle_sort_bypassMergeThreshold
,start_time
,end_time
from app_info a
left join spark_props b
on a.app_id = b.app_id
) t1
left join
(
select
application_group
,max(product_name) product_name
from internal_platform_db.app_group_product_info_history_query_engine_021
where dt = '20260507'
group by
application_group
) t2
on t1.dw_appgroup = t2.application_group
where shuffle_split = '1'
)
select
usp_task_id
,app_id
,app_time_usage
,tag
,dw_appgroup
,product_name
,shuffle_split
,max_shuffle_stage_task_num
,shuffle_stage_time
,shuffle_stage_task_time_50th
,shuffle_stage_task_time_90th
,spark_partition_min
,spark_partition_max
,spark_task_shuffle_size
,spark_default_parallelism
,spark_sql_shuffle_partitions
,spark_shuffle_sort_bypassMergeThreshold
,spark_version
,concat('https://internal-tools.example.com/optimization/appgroupfigure/config/recommended?taskId=',usp_task_id,'&applicationId=',app_id,'&startTime=',start_time,'&endTime=',end_time,'&applicationGroup=',dw_appgroup) brain_url
from task_info
where rk = 1