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