| schema | name | column | data type |
|---|---|---|---|
| pg_catalog | svcs_sort | bytes | int8 |
| pg_catalog | svcs_sort | checksum | int8 |
| pg_catalog | svcs_sort | endtime | timestamp |
| pg_catalog | svcs_sort | is_diskbased | char(1) |
| pg_catalog | svcs_sort | query | int4 |
| pg_catalog | svcs_sort | rows | int8 |
| pg_catalog | svcs_sort | segment | int4 |
| pg_catalog | svcs_sort | slice | int4 |
| pg_catalog | svcs_sort | starttime | timestamp |
| pg_catalog | svcs_sort | step | int4 |
| pg_catalog | svcs_sort | tasknum | int4 |
| pg_catalog | svcs_sort | tbl | int4 |
| pg_catalog | svcs_sort | userid | int4 |
| pg_catalog | svcs_sort | workmem | int8 |
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.bytes,
stcs.tbl,
stcs.is_diskbased,
stcs.workmem,
stcs.checksum
FROM stcs_sort 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) Home 3D Друк Blog Bring-Up Times Cross-Region Benchmarks Email Forums Mailing Lists Redshift Price Tracker Redshift Version Tracker Replacement System Tables Reserved Instances Marketplace Slack System Table Tracker The Known Universe White Papers