Datasets:
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Download tasks/offline-compute/HiveSQL/hivesql_004/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_004/task.md
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hf download hf://datasets/dicemy/DataClawEval/tasks/offline-compute/HiveSQL/hivesql_004/task.md
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curl -L -o task.md https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/HiveSQL/hivesql_004/task.md
1.76 kB
| id: offline-compute_HiveSQL_hivesql_004 | |
| name: 将源表 internal_platform_db.app_group_product_info_sup | |
| category: offline-compute/HiveSQL | |
| timeout_seconds: 600 | |
| modality: pure-text | |
| engine: hivesql | |
| ## Prompt | |
| 任务目标:将应用组与产品归属关系按天做历史快照,按分区全量覆盖写入目标表。 | |
| 输入:internal_platform_db.app_group_product_info_query_engine_011 | |
| - 字段:username、application_group、application_group_owner、product_id、product_name、product_owner、obs_product_id、obs_product_name、obs_product_owner、department、plan_product_id、plan_product_name、plan_product_owner、application_group_numbers、application_group_owners、product_owners、obs_product_owners、plan_product_owners、bg、id | |
| 处理规则: | |
| 1. 无 Join,单表处理 | |
| 2. 无过滤条件,全量读取源表所有记录 | |
| 3. 无聚合操作 | |
| 4. 追加派生列 dt(STRING 类型),填充当天日期字符串(格式 YYYYMMDD,如 '20260507'),置于输出字段最前 | |
| 输出要求: | |
| - 输出字段顺序:dt、username、application_group、application_group_owner、product_id、product_name、product_owner、obs_product_id、obs_product_name、obs_product_owner、department、plan_product_id、plan_product_name、plan_product_owner、application_group_numbers、application_group_owners、product_owners、obs_product_owners、plan_product_owners、bg、id | |
| - 无需去重 | |
| 写入要求: | |
| - 目标表:internal_platform_db.app_group_product_info_history_cand_query_engine_011 | |
| - 分区字段:dt(STRING) | |
| - 写入方式:INSERT OVERWRITE 按分区写入 | |
| - 若目标表不存在,先按 Hive 标准建表(ORC 存储、按 dt 分区),再写入 | |
| 请将最终 HiveSQL 写入 result.sql 并执行。 | |