tasks/offline-compute/HiveSQL/hivesql_008_en/task.md

metadata

id: offline-compute_HiveSQL_hivesql_008
name: >-
  Count tasks matching the shuffle_split tuning rule. Input table:
  internal_platform_db
category: offline-compute/HiveSQL
timeout_seconds: 600
modality: pure-text
engine: hivesql

Prompt

Task Objective: Count tasks that match the shuffle_split tuning rule, producing task-level tuning rule hit results.

Inputs:

• internal_platform_db.nextgen_platform_dsl_spark_props_fht0_query_engine_021
• internal_platform_db.ods_spark_props_extra_query_engine_021
• internal_platform_db.deep_tuning_rule_hit_app_info_query_engine_021
• internal_platform_db.nextgen_platform_dsl_us_task_detail_fdt0_query_engine_021
• internal_platform_db.nextgen_platform_dsl_gputj_task_detail_fdt0_query_engine_021
• internal_platform_db.app_group_product_info_history_query_engine_021

Processing Rules: Join the Spark configuration table, task detail tables (from both the us and gputj sources), and the application group product mapping table. Based on deep_tuning_rule_hit_app_info, filter records that match the shuffle_split tuning rule, and aggregate at the task granularity to produce deduplicated results. The join conditions and aggregation logic must be consistent with the historical logic, without introducing additional filtering or business rules.

Output Requirements: The output field order must match the target table schema, retaining task-level fields related to tuning rule hits, deduplicated at the task granularity.

Write Requirements: Write to table internal_platform_db.shuffle_split_tuning_rule_hit_task_info_cand_query_engine_021.

Please write the final HiveSQL to result.sql and execute it.