Datasets:
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Download tasks/offline-compute/HiveSQL/hivesql_017/task.md from dicemy/DataClawEval: direct link, hf CLI and curl.
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https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/HiveSQL/hivesql_017/task.md
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hf download hf://datasets/dicemy/DataClawEval/tasks/offline-compute/HiveSQL/hivesql_017/task.md
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curl -L -o task.md https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/HiveSQL/hivesql_017/task.md
1.25 kB
| id: offline-compute_HiveSQL_hivesql_017 | |
| name: 从事件表和全量用户表 Join 过滤出 20260608 当天最后登录用户的事件,按 sdk_id | |
| category: offline-compute/HiveSQL | |
| timeout_seconds: 600 | |
| modality: pure-text | |
| engine: hivesql | |
| ## Prompt | |
| 任务目标:按 SDK 类型和小时统计活跃用户数。 | |
| 输入: | |
| - internal_platform_db.dws_event_tracking_ul2l6h5c_events_di_query_engine_114(事件明细表) | |
| - internal_platform_db.dws_event_tracking_ul2l6h5c_all_user_df_query_engine_114(用户维度表) | |
| 处理规则: | |
| - Join 条件:e.user_id = u.user_id | |
| - 过滤条件:e.imp_date = 20260608,u.imp_date = 20260608,u.last_login_date = 20260608 | |
| - 分组维度:sdk_id、event_time_hour | |
| - 聚合指标:COUNT(DISTINCT e.user_id) as active_users | |
| - 去重与排序:按 sdk_id 和 hour 分组,无额外排序要求 | |
| 输出要求: | |
| - 字段顺序:imp_date(固定值 20260608,BIGINT)、id(ROW_NUMBER() OVER())、sdk_id(STRING)、hour(STRING,来源 event_time_hour)、active_users(BIGINT) | |
| 写入要求: | |
| - 输出表:internal_platform_db.ads_event_tracking_ul2l6h5c_user_active_hour_di_cand_query_engine_114 | |
| - 写入方式:INSERT INTO | |
| 请将最终 HiveSQL 写入 result.sql 并执行。 | |