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---
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