| --- |
| id: offline-compute_HiveSQL_hivesql_007 |
| name: "Aggregate Notebook instance runtime statistics by trace_id and p_date for the day: Input table w" |
| category: offline-compute/HiveSQL |
| timeout_seconds: 600 |
| modality: pure-text |
| engine: hivesql |
| --- |
| ## Prompt |
| Task Objective: Aggregate Notebook instance runtime statistics grouped by `trace_id` and `p_date`. |
|
|
| Input: `internal_platform_db.dws_notebook_instance_execute_minute_stat_d_query_engine_019` |
| - Partition field: `dt` (STRING, format YYYYMMDD) |
| - Key fields: `trace_id`, `p_date`, `datawd_project_id`, `datawd_task_id`, `datawd_task_instance_id`, `compute_type`, `status_code`, `instance_run_time`, `code_run_time`, `resource_wait_time`, `code_start_time`, `code_end_time`, `instance_start_time`, `instance_end_time`, `serving_id`, `is_permanent`, `apply_for_gpu_count`, `code_gpu_count` (numeric), `used_gpu_count` (numeric), `is_code_running` (INT), `code_used_gpu_count` (numeric) |
|
|
| Processing Rules: |
| - Filter condition: `dt = '20260507'` |
| - No joins, single-table processing |
| - Aggregation: Group by `trace_id`, `p_date` |
| - Most fields use `MAX`: `datawd_project_id`, `datawd_task_id`, `datawd_task_instance_id`, `compute_type`, `status_code`, `instance_run_time`, `code_run_time`, `resource_wait_time`, `code_start_time`, `code_end_time`, `instance_start_time`, `instance_end_time`, `serving_id`, `is_permanent`, `apply_for_gpu_count` |
| - `code_gpu_count`: Use `AVG` |
| - `instance_gpu_util`: `AVG(used_gpu_count / code_gpu_count) * 100` |
| - `code_gpu_util`: `AVG(IF(is_code_running = 1, code_used_gpu_count / code_gpu_count, NULL)) * 100` |
|
|
| Output Requirements: |
| - Output field order: `dt` (STRING), `trace_id` (STRING), `p_date` (STRING), `datawd_project_id` (STRING), `datawd_task_id` (STRING), `datawd_task_instance_id` (STRING), `compute_type` (STRING), `status_code` (INT), `instance_run_time` (INT), `code_run_time` (INT), `resource_wait_time` (INT), `code_start_time` (STRING), `code_end_time` (STRING), `instance_start_time` (STRING), `instance_end_time` (STRING), `serving_id` (STRING), `is_permanent` (BOOLEAN), `apply_for_gpu_count` (INT), `code_gpu_count` (INT), `instance_gpu_util` (DOUBLE), `code_gpu_util` (DOUBLE) |
| - Partition field: `dt` (STRING, format YYYYMMDD) |
|
|
| Write Requirements: |
| - Target table: `internal_platform_db.dws_notebook_instance_execute_stat_d_cand_query_engine_019` |
| - Write method: `INSERT OVERWRITE` partitioned by `dt` |
| - If the target table does not exist, first create the table using standard Hive ORC storage, then write the data |
|
|
| Please write the final HiveSQL to `result.sql` and execute it. |
|
|
