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---
id: offline-compute_PrestoSQL_prestosql_006
name: News Plugin Send Process Multi-Dimensional Aggregation
category: offline-compute/PrestoSQL
timeout_seconds: 900
modality: pure-text
engine: prestosql
---
## Prompt
**Task Objective**: From the news plugin send process flow table, aggregate and compute metrics such as send count, send UV, panel exposure count, panel exposure UV, inner-page PV, and inner-page UV by the scene (`pos_desc`) dimension, across two time windows — current day and last 1 hour — and write the results to the output table.
**Input Table**:
- `internal_platform_db.dwm_news_plugin_ai_assistant_send_process_flow_hi_prestosql_006` (news plugin send process flow table)
- `imp_hour` BIGINT — hourly partition
- `user_id` STRING — user ID
- `content_id` STRING — content ID
- `push_id` STRING — push ID
- `pos` STRING — position
- `send_cnt` BIGINT — send count
- `panel_exp_cnt` BIGINT — panel exposure count
- `pgin_pv` BIGINT — inner-page PV
- `pos_desc` STRING — position description (scene)
- `account_code` STRING — business code
**Output Requirements**:
- Target table: `internal_platform_db.ads_news_plugin_ai_assistant_hourly_report_cand_prestosql_006`
- Output fields and order:
- `imp_hour` BIGINT — hourly partition
- `scene` STRING — scene (`pos_desc`)
- `send_cnt_dth` BIGINT — current day send count (`SUM(send_cnt) WHERE imp_hour <= current hour`)
- `send_uv_dth` BIGINT — current day send UV (`COUNT(DISTINCT user_id) WHERE imp_hour <= current hour`)
- `panel_exp_cnt_dth` BIGINT — current day panel exposure count (`SUM(panel_exp_cnt) WHERE imp_hour <= current hour`)
- `panel_exp_uv_dth` BIGINT — current day panel exposure UV (`COUNT(DISTINCT user_id) WHERE panel_exp_cnt > 0 AND imp_hour <= current hour`)
- `pgin_pv_dth` BIGINT — current day inner-page PV (`SUM(pgin_pv) WHERE imp_hour <= current hour`)
- `pgin_uv_dth` BIGINT — current day inner-page UV (`COUNT(DISTINCT user_id) WHERE pgin_pv > 0 AND imp_hour <= current hour`)
- `send_cnt_1h` BIGINT — last 1 hour send count (`SUM(send_cnt) WHERE imp_hour = current hour`)
- `send_uv_1h` BIGINT — last 1 hour send UV
- `panel_exp_cnt_1h` BIGINT — last 1 hour panel exposure count
- `panel_exp_uv_1h` BIGINT — last 1 hour panel exposure UV
- `pgin_pv_1h` BIGINT — last 1 hour inner-page PV
- `pgin_uv_1h` BIGINT — last 1 hour inner-page UV
- Simplified explanation: For each `imp_hour` + `pos_desc` combination, compute the current day cumulative (dth) and current hour (1h) aggregation metrics
- If the target table does not exist, first create the table, then write the data
- Use Presto/Trino SQL syntax; do not use Hive/Spark SQL dialects
**Environment and Execution Notes**:
- Presto is running, connected via the Hive catalog
- Execute SQL: `presto-cli --catalog hive --schema internal_platform_db -f /tmp_workspace/result.sql`
- After writing `result.sql`, you must execute it yourself to verify that it runs successfully and produces correct data