schema | name | column | data type |
---|---|---|---|
pg_catalog | svcs_s3query | avg_request_duration | int8 |
pg_catalog | svcs_s3query | avg_request_parallelism | float8 |
pg_catalog | svcs_s3query | elapsed | int8 |
pg_catalog | svcs_s3query | endtime | timestamp |
pg_catalog | svcs_s3query | external_table_name | text |
pg_catalog | svcs_s3query | file_format | char(16) |
pg_catalog | svcs_s3query | files | int4 |
pg_catalog | svcs_s3query | is_nested | char(1) |
pg_catalog | svcs_s3query | is_partitioned | char(1) |
pg_catalog | svcs_s3query | is_rrscan | char(1) |
pg_catalog | svcs_s3query | max_concurrent_slowdown_count | int4 |
pg_catalog | svcs_s3query | max_request_duration | int8 |
pg_catalog | svcs_s3query | max_request_parallelism | int4 |
pg_catalog | svcs_s3query | max_retries | int4 |
pg_catalog | svcs_s3query | max_split_size | int8 |
pg_catalog | svcs_s3query | node | int4 |
pg_catalog | svcs_s3query | query | int4 |
pg_catalog | svcs_s3query | s3query_returned_bytes | int8 |
pg_catalog | svcs_s3query | s3query_returned_rows | int8 |
pg_catalog | svcs_s3query | s3_scanned_bytes | int8 |
pg_catalog | svcs_s3query | s3_scanned_rows | int8 |
pg_catalog | svcs_s3query | scan_type | int4 |
pg_catalog | svcs_s3query | segment | int4 |
pg_catalog | svcs_s3query | slice | int4 |
pg_catalog | svcs_s3query | slowdown_count | int4 |
pg_catalog | svcs_s3query | splits | int4 |
pg_catalog | svcs_s3query | starttime | timestamp |
pg_catalog | svcs_s3query | step | int4 |
pg_catalog | svcs_s3query | total_retries | int4 |
pg_catalog | svcs_s3query | total_split_size | int8 |
pg_catalog | svcs_s3query | userid | int4 |
SELECT stcs.userid, map.primary_query AS query, stcs.segment, stcs.step, stcs.node, stcs.slice, CAST('1970-01-01 00:00:00' AS timestamp) + (CAST((CAST(stcs.starttime AS numeric) / (1000.0 * 1000.0)) + 946684800.0 AS double precision) * CAST('00:00:01' AS interval)) AS starttime, CAST('1970-01-01 00:00:00' AS timestamp) + (CAST((CAST(stcs.endtime AS numeric) / (1000.0 * 1000.0)) + 946684800.0 AS double precision) * CAST('00:00:01' AS interval)) AS endtime, stcs.endtime - stcs.starttime AS elapsed, btrim(CAST(stcs.external_table_name AS text)) AS external_table_name, stcs.file_format, stcs.is_partitioned, stcs.is_rrscan, stcs.is_nested, stcs.s3_scanned_rows, stcs.s3_scanned_bytes, stcs.s3query_returned_rows, stcs.s3query_returned_bytes, stcs.files, stcs.splits, stcs.total_split_size, stcs.max_split_size, stcs.total_retries, stcs.max_retries, stcs.max_request_duration, stcs.avg_request_duration, stcs.max_request_parallelism, stcs.avg_request_parallelism, stcs.slowdown_count, stcs.max_concurrent_slowdown_count, stcs.scan_type FROM stcs_s3query AS stcs INNER JOIN stcs_concurrency_scaling_query_mapping AS map ON map.concurrency_scaling_query = stcs.query WHERE stcs.__cluster_type = CAST('cs' AS bpchar) AND to_date(CAST(stcs.__log_generated_date AS text), CAST('YYYYMMDD' AS text)) > (getdate() - CAST('7 days' AS interval)) AND to_date(CAST(map.__log_generated_date AS text), CAST('YYYYMMDD' AS text)) > (getdate() - CAST('7 days' AS interval)) AND CAST(map.concurrency_scaling_cluster AS text) = split_part(CAST(stcs.__path AS text), CAST('/' AS text), 10) AND stcs.is_copy = 0 AND (EXISTS (SELECT 1 FROM pg_user WHERE pg_user.usename = CAST("current_user"() AS name) AND pg_user.usesuper = TRUE) OR EXISTS (SELECT 1 FROM pg_shadow_extended WHERE pg_shadow_extended.sysid = current_user_id() AND pg_shadow_extended.colnum = 2 AND pg_shadow_extended.value = CAST(-1 AS text)) OR stcs.userid = current_user_id())
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