Redshift Research Project

System Table Tracker

System Table Version 1.0.41465 / 2022-09-10

schema name column data type
pg_catalog svl_query_step_times active_slices int8
pg_catalog svl_query_step_times avg_duration int8
pg_catalog svl_query_step_times avg_off_cpu float8
pg_catalog svl_query_step_times avg_on_cpu float8
pg_catalog svl_query_step_times max_duration int8
pg_catalog svl_query_step_times max_off_cpu float8
pg_catalog svl_query_step_times max_on_cpu float8
pg_catalog svl_query_step_times min_duration int8
pg_catalog svl_query_step_times min_off_cpu float8
pg_catalog svl_query_step_times min_on_cpu float8
pg_catalog svl_query_step_times query int4
pg_catalog svl_query_step_times segment int4
pg_catalog svl_query_step_times step int4
pg_catalog svl_query_step_times step_name char(32)
pg_catalog svl_query_step_times step_type char(32)
pg_catalog svl_query_step_times waiting_slices int8

View Text

SELECT st.query,
       st.segment,
       st.step,
       st.step_name,
       st.step_type,
       min(sl.duration) AS min_duration,
       avg(sl.duration) AS avg_duration,
       max(sl.duration) AS max_duration,
       trunc(min(st.agg_on / sl.agg_all) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS min_on_cpu,
       trunc((sum(st.agg_on) / sum(sl.agg_all)) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS avg_on_cpu,
       trunc(max(st.agg_on / sl.agg_all) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS max_on_cpu,
       count(sl.agg_on > CAST(0 AS double precision)) AS active_slices,
       trunc(min(st.agg_off / sl.agg_all) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS min_off_cpu,
       trunc((sum(st.agg_off) / sum(sl.agg_all)) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS avg_off_cpu,
       trunc(max(st.agg_off / sl.agg_all) * CAST(100 AS double precision),
             CAST(2 AS numeric)) AS max_off_cpu,
       count(sl.agg_off > CAST(0 AS double precision)) AS waiting_slices
FROM (SELECT stl_query_step_times.query,
             stl_query_step_times.segment,
             stl_query_step_times.slice,
             max(stl_query_step_times.duration) AS duration,
             CAST(sum(stl_query_step_times.on_cpu) AS double precision) / CAST(1000 AS double precision) AS agg_on,
             CAST(sum(stl_query_step_times.off_cpu) AS double precision) / CAST(1000 AS double precision) AS agg_off,
             (CAST(sum(stl_query_step_times.on_cpu) AS double precision) / CAST(1000 AS double precision)) + (CAST(sum(stl_query_step_times.off_cpu) AS double precision) / CAST(1000 AS double precision)) AS agg_all
      FROM stl_query_step_times
      GROUP BY stl_query_step_times.query, stl_query_step_times.segment, stl_query_step_times.slice) AS sl,
     (SELECT stl_query_step_times.query,
             stl_query_step_times.segment,
             stl_query_step_times.step,
             stl_query_step_times.slice,
             stl_query_step_times.step_name,
             stl_query_step_times.step_type,
             CAST(sum(stl_query_step_times.on_cpu) AS double precision) / CAST(1000 AS double precision) AS agg_on,
             CAST(sum(stl_query_step_times.off_cpu) AS double precision) / CAST(1000 AS double precision) AS agg_off,
             (CAST(sum(stl_query_step_times.on_cpu) AS double precision) / CAST(1000 AS double precision)) + (CAST(sum(stl_query_step_times.off_cpu) AS double precision) / CAST(1000 AS double precision)) AS agg_all
      FROM stl_query_step_times
      GROUP BY stl_query_step_times.query, stl_query_step_times.segment, stl_query_step_times.step, stl_query_step_times.slice, stl_query_step_times.step_name, stl_query_step_times.step_type) AS st
WHERE st.query = sl.query
  AND st.segment = sl.segment
  AND st.slice = sl.slice
  AND sl.agg_all > CAST(0 AS double precision)
GROUP BY st.query, st.segment, st.step, st.step_name, st.step_type


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