Datasets:
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Download tasks/offline-compute/PrestoSQL/prestosql_009/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/PrestoSQL/prestosql_009/task.md
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hf download hf://datasets/dicemy/DataClawEval/tasks/offline-compute/PrestoSQL/prestosql_009/task.md
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curl -L -o task.md https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/PrestoSQL/prestosql_009/task.md
1.82 kB
| id: offline-compute_PrestoSQL_prestosql_009 | |
| name: Data Pipeline Killed Instance Analysis | |
| category: offline-compute/PrestoSQL | |
| timeout_seconds: 900 | |
| modality: pure-text | |
| engine: prestosql | |
| ## Prompt | |
| Join pipeline span info and resource info tables to produce killed instance detail table. Specific filtering conditions and field selection need to be determined based on table structure. | |
| **输入表**: | |
| - `internal_platform_db.t_pipeline_span_info_prestosql_009`(Pipeline span信息表) | |
| - `databus_imp_date` STRING — 日期分区 | |
| - `trace_id` STRING — 链路标识 | |
| - `span_name` STRING — span名称 | |
| - `start_time` STRING — 开始时间(epoch毫秒) | |
| - `end_time` STRING — 结束时间(epoch毫秒) | |
| - `status_code` INT — 状态码 | |
| - `project_id` STRING — 项目ID | |
| - `task_id` STRING — 任务ID | |
| - `compute_type` STRING — 计算类型 | |
| - `internal_platform_db.t_pipeline_resource_info_prestosql_009`(Pipeline资源信息表) | |
| - `databus_imp_date` STRING — 日期分区 | |
| - `trace_id` STRING — 链路标识 | |
| - `compute_type` STRING — 计算类型 | |
| - `resource_id` STRING — 资源ID | |
| - `is_dedicated` STRING — 是否独占 | |
| - `cpu_cores` INT — CPU核数 | |
| **输出要求**: | |
| - 目标表: `internal_platform_db.t_pipeline_killed_instance_detail_cand_prestosql_009` | |
| - 具体过滤条件、字段选择、计算逻辑需根据表结构和数据特征自行分析确定 | |
| - 如果目标表不存在,请先建表再写入数据 | |
| - 请使用Presto/Trino SQL语法,不要使用Hive/Spark SQL方言 | |
| **环境与执行说明**: | |
| - Presto已启动,通过Hive catalog连接 | |
| - 执行SQL: `presto-cli --catalog hive --schema internal_platform_db -f /tmp_workspace/result.sql` | |
| - 写出result.sql后,必须自己执行验证它能成功运行并产出正确数据 | |