schema | name | column | data type |
---|---|---|---|
pg_catalog | svcs_limit | checksum | int8 |
pg_catalog | svcs_limit | endtime | timestamp |
pg_catalog | svcs_limit | hit_limit | char(1) |
pg_catalog | svcs_limit | query | int4 |
pg_catalog | svcs_limit | rows | int8 |
pg_catalog | svcs_limit | segment | int4 |
pg_catalog | svcs_limit | slice | int4 |
pg_catalog | svcs_limit | starttime | timestamp |
pg_catalog | svcs_limit | step | int4 |
pg_catalog | svcs_limit | tasknum | int4 |
pg_catalog | svcs_limit | userid | int4 |
SELECT stcs.userid, map.primary_query AS query, stcs.slice, stcs.segment, stcs.step, 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.tasknum, stcs.rows, stcs.hit_limit, stcs.checksum FROM stcs_limit 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)
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