mirror of
https://github.com/GreptimeTeam/greptimedb.git
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fix: prom cast to f64 (#7840)
* fix: cast to f64 Signed-off-by: discord9 <discord9@163.com> * test: div case Signed-off-by: discord9 <discord9@163.com> * test: int test Signed-off-by: discord9 <discord9@163.com> * chore: sqlness update Signed-off-by: discord9 <discord9@163.com> * chore: test Signed-off-by: discord9 <discord9@163.com> * chore: update test Signed-off-by: discord9 <discord9@163.com> --------- Signed-off-by: discord9 <discord9@163.com>
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discord9
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@@ -442,54 +442,54 @@ Affected Rows: 0
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-- SQLNESS REPLACE (Hash.*) REDACTED
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tql explain (1752591864, 1752592164, '30s') sum by (a, b, c) (rate(aggr_optimize_not [2m])) / sum by (a, b, c) (rate(aggr_optimize_not_count [2m]));
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+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| plan_type | plan |
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+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| logical_plan | Projection: aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp, aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) AS aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) |
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| | Inner Join: aggr_optimize_not.a = aggr_optimize_not_count.a, aggr_optimize_not.b = aggr_optimize_not_count.b, aggr_optimize_not.c = aggr_optimize_not_count.c, aggr_optimize_not.greptime_timestamp = aggr_optimize_not_count.greptime_timestamp |
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| | MergeSort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
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| | MergeScan [is_placeholder=false, remote_input=[ |
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| | SubqueryAlias: aggr_optimize_not |
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| | Sort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
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| | Aggregate: groupBy=[[aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
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| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
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| | Projection: aggr_optimize_not.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.d |
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| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
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| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
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| | Sort: aggr_optimize_not.a ASC NULLS FIRST, aggr_optimize_not.b ASC NULLS FIRST, aggr_optimize_not.c ASC NULLS FIRST, aggr_optimize_not.d ASC NULLS FIRST, aggr_optimize_not.greptime_timestamp ASC NULLS FIRST |
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| | Filter: aggr_optimize_not.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
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| | TableScan: aggr_optimize_not |
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| | ]] |
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| | SubqueryAlias: aggr_optimize_not_count |
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| | Sort: aggr_optimize_not_count.a ASC NULLS LAST, aggr_optimize_not_count.b ASC NULLS LAST, aggr_optimize_not_count.c ASC NULLS LAST, aggr_optimize_not_count.greptime_timestamp ASC NULLS LAST |
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| | Aggregate: groupBy=[[aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
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| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
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| | Projection: aggr_optimize_not_count.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not_count.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c |
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| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
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| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
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| | Sort: aggr_optimize_not_count.a ASC NULLS FIRST, aggr_optimize_not_count.b ASC NULLS FIRST, aggr_optimize_not_count.c ASC NULLS FIRST, aggr_optimize_not_count.d ASC NULLS FIRST, aggr_optimize_not_count.greptime_timestamp ASC NULLS FIRST |
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| | MergeScan [is_placeholder=false, remote_input=[ |
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| | Filter: aggr_optimize_not_count.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not_count.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
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| | TableScan: aggr_optimize_not_count |
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| | ]] |
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| physical_plan | ProjectionExec: expr=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp, sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@5 / sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@4 as aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
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+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| plan_type | plan |
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+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| logical_plan | Projection: aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp, CAST(aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) AS Float64) / CAST(aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) AS Float64) AS aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) |
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| | Inner Join: aggr_optimize_not.a = aggr_optimize_not_count.a, aggr_optimize_not.b = aggr_optimize_not_count.b, aggr_optimize_not.c = aggr_optimize_not_count.c, aggr_optimize_not.greptime_timestamp = aggr_optimize_not_count.greptime_timestamp |
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| | MergeSort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
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| | MergeScan [is_placeholder=false, remote_input=[ |
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| | SubqueryAlias: aggr_optimize_not |
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| | Sort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
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| | Aggregate: groupBy=[[aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
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| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
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| | Projection: aggr_optimize_not.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.d |
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| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
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| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
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| | Sort: aggr_optimize_not.a ASC NULLS FIRST, aggr_optimize_not.b ASC NULLS FIRST, aggr_optimize_not.c ASC NULLS FIRST, aggr_optimize_not.d ASC NULLS FIRST, aggr_optimize_not.greptime_timestamp ASC NULLS FIRST |
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| | Filter: aggr_optimize_not.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
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| | TableScan: aggr_optimize_not |
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| | ]] |
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| | SubqueryAlias: aggr_optimize_not_count |
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| | Sort: aggr_optimize_not_count.a ASC NULLS LAST, aggr_optimize_not_count.b ASC NULLS LAST, aggr_optimize_not_count.c ASC NULLS LAST, aggr_optimize_not_count.greptime_timestamp ASC NULLS LAST |
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| | Aggregate: groupBy=[[aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
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| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
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| | Projection: aggr_optimize_not_count.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not_count.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c |
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| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
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| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
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| | Sort: aggr_optimize_not_count.a ASC NULLS FIRST, aggr_optimize_not_count.b ASC NULLS FIRST, aggr_optimize_not_count.c ASC NULLS FIRST, aggr_optimize_not_count.d ASC NULLS FIRST, aggr_optimize_not_count.greptime_timestamp ASC NULLS FIRST |
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| | MergeScan [is_placeholder=false, remote_input=[ |
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| | Filter: aggr_optimize_not_count.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not_count.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
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| | TableScan: aggr_optimize_not_count |
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| | ]] |
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| physical_plan | ProjectionExec: expr=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp, sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@5 / sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@4 as aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
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| | REDACTED
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| | CoalescePartitionsExec |
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| | AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
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| | FilterExec: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))@1 IS NOT NULL |
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| | ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] |
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| | PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] |
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| | PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivideExec: tags=["a", "b", "c", "d"] |
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| | SortExec: expr=[a@0 ASC, b@1 ASC, c@2 ASC, d@3 ASC, greptime_timestamp@4 ASC], preserve_partitioning=[true] |
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| | CoalescePartitionsExec |
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| | AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
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| | FilterExec: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))@1 IS NOT NULL |
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| | ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] |
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| | PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] |
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| | PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
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| | PromSeriesDivideExec: tags=["a", "b", "c", "d"] |
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| | SortExec: expr=[a@0 ASC, b@1 ASC, c@2 ASC, d@3 ASC, greptime_timestamp@4 ASC], preserve_partitioning=[true] |
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| | MergeScanExec: REDACTED
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| | SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] |
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| | CooperativeExec |
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| | SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] |
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| | CooperativeExec |
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| | MergeScanExec: REDACTED
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| | |
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+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| | |
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+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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-- SQLNESS REPLACE (metrics.*) REDACTED
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-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
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@@ -0,0 +1,106 @@
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CREATE TABLE phy (
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t TIMESTAMP TIME INDEX,
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v DOUBLE
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) ENGINE=metric WITH ("physical_metric_table" = "");
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Affected Rows: 0
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CREATE TABLE metric_a (
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l1 STRING NULL,
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l2 STRING NULL,
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l3 STRING NULL,
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l4 STRING NULL,
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l5 STRING NULL,
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t TIMESTAMP NOT NULL,
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v DOUBLE NULL,
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TIME INDEX (t),
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PRIMARY KEY (l1, l2, l3, l4, l5)
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) ENGINE=metric WITH (on_physical_table = 'phy');
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Affected Rows: 0
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CREATE TABLE metric_b (
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l6 STRING NULL,
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l1 STRING NULL,
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l2 STRING NULL,
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l3 STRING NULL,
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l4 STRING NULL,
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t TIMESTAMP NOT NULL,
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v DOUBLE NULL,
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TIME INDEX (t),
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PRIMARY KEY (l6, l1, l2, l3, l4)
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) ENGINE=metric WITH (on_physical_table = 'phy');
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Affected Rows: 0
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INSERT INTO metric_a (l1, l2, l3, l4, l5, t, v) VALUES
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('v1', 'v2', 'v3', 'v4a', 'v5a', 1, 0),
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('v1', 'v2', 'v3', 'v4a', 'v5a', 180000, 120),
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('v1', 'v2', 'v3', 'v4a', 'v5a', 360000, 240),
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('v1', 'v2', 'v3', 'v4a', 'v5b', 1, 0),
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('v1', 'v2', 'v3', 'v4a', 'v5b', 180000, 30),
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('v1', 'v2', 'v3', 'v4a', 'v5b', 360000, 60),
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('v1', 'v2', 'v3-b', 'v4b', 'v5c', 1, 0),
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('v1', 'v2', 'v3-b', 'v4b', 'v5c', 180000, 60),
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('v1', 'v2', 'v3-b', 'v4b', 'v5c', 360000, 120);
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Affected Rows: 9
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INSERT INTO metric_b (l6, l1, l2, l3, l4, t, v) VALUES
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('v6', 'v1', 'v2', 'v3', 'v4a', 1, 1),
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('v6', 'v1', 'v2', 'v3', 'v4a', 180000, 1),
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('v6', 'v1', 'v2', 'v3', 'v4a', 360000, 1),
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('v6', 'v1', 'v2', 'v3-b', 'v4b', 1, 2),
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('v6', 'v1', 'v2', 'v3-b', 'v4b', 180000, 2),
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('v6', 'v1', 'v2', 'v3-b', 'v4b', 360000, 2);
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Affected Rows: 6
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (180, 360, '180s') count(((rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]) / on(l3,l4) group_left metric_b{l6="v6",l1="v1",l2="v2",l3=~"v3(|-a|-b)"}) > 0.50));
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+---------------------+-------------------------------------------------------------------+
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| t | count(metric_a.prom_rate(t_range,v,t,Int64(180000)) / metric_b.v) |
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+---------------------+-------------------------------------------------------------------+
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| 1970-01-01T00:03:00 | 1 |
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+---------------------+-------------------------------------------------------------------+
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (180, 360, '180s') count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]));
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+---------------------+---------------------------------------------+
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| t | count(prom_rate(t_range,v,t,Int64(180000))) |
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+---------------------+---------------------------------------------+
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| 1970-01-01T00:03:00 | 3 |
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+---------------------+---------------------------------------------+
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (180, 360, '180s') count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m])) / 2;
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+---------------------+----------------------------------------------------------+
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| t | count(prom_rate(t_range,v,t,Int64(180000))) / Float64(2) |
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+---------------------+----------------------------------------------------------+
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| 1970-01-01T00:03:00 | 1.5 |
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+---------------------+----------------------------------------------------------+
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (180, 360, '180s') (count(((rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]) / on(l3,l4) group_left metric_b{l6="v6",l1="v1",l2="v2",l3=~"v3(|-a|-b)"}) > 0.50)) / count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]))) * 100;
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+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------------+
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| t | metric_b.count(metric_a.prom_rate(t_range,v,t,Int64(180000)) / metric_b.v) / metric_a.count(prom_rate(t_range,v,t,Int64(180000))) * Float64(100) |
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+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------------+
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| 1970-01-01T00:03:00 | 33.33333333333333 |
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+---------------------+--------------------------------------------------------------------------------------------------------------------------------------------------+
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|
||||
DROP TABLE metric_a;
|
||||
|
||||
Affected Rows: 0
|
||||
|
||||
DROP TABLE metric_b;
|
||||
|
||||
Affected Rows: 0
|
||||
|
||||
DROP TABLE phy;
|
||||
|
||||
Affected Rows: 0
|
||||
|
||||
@@ -0,0 +1,63 @@
|
||||
CREATE TABLE phy (
|
||||
t TIMESTAMP TIME INDEX,
|
||||
v DOUBLE
|
||||
) ENGINE=metric WITH ("physical_metric_table" = "");
|
||||
|
||||
CREATE TABLE metric_a (
|
||||
l1 STRING NULL,
|
||||
l2 STRING NULL,
|
||||
l3 STRING NULL,
|
||||
l4 STRING NULL,
|
||||
l5 STRING NULL,
|
||||
t TIMESTAMP NOT NULL,
|
||||
v DOUBLE NULL,
|
||||
TIME INDEX (t),
|
||||
PRIMARY KEY (l1, l2, l3, l4, l5)
|
||||
) ENGINE=metric WITH (on_physical_table = 'phy');
|
||||
|
||||
CREATE TABLE metric_b (
|
||||
l6 STRING NULL,
|
||||
l1 STRING NULL,
|
||||
l2 STRING NULL,
|
||||
l3 STRING NULL,
|
||||
l4 STRING NULL,
|
||||
t TIMESTAMP NOT NULL,
|
||||
v DOUBLE NULL,
|
||||
TIME INDEX (t),
|
||||
PRIMARY KEY (l6, l1, l2, l3, l4)
|
||||
) ENGINE=metric WITH (on_physical_table = 'phy');
|
||||
|
||||
INSERT INTO metric_a (l1, l2, l3, l4, l5, t, v) VALUES
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5a', 1, 0),
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5a', 180000, 120),
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5a', 360000, 240),
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5b', 1, 0),
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5b', 180000, 30),
|
||||
('v1', 'v2', 'v3', 'v4a', 'v5b', 360000, 60),
|
||||
('v1', 'v2', 'v3-b', 'v4b', 'v5c', 1, 0),
|
||||
('v1', 'v2', 'v3-b', 'v4b', 'v5c', 180000, 60),
|
||||
('v1', 'v2', 'v3-b', 'v4b', 'v5c', 360000, 120);
|
||||
|
||||
INSERT INTO metric_b (l6, l1, l2, l3, l4, t, v) VALUES
|
||||
('v6', 'v1', 'v2', 'v3', 'v4a', 1, 1),
|
||||
('v6', 'v1', 'v2', 'v3', 'v4a', 180000, 1),
|
||||
('v6', 'v1', 'v2', 'v3', 'v4a', 360000, 1),
|
||||
('v6', 'v1', 'v2', 'v3-b', 'v4b', 1, 2),
|
||||
('v6', 'v1', 'v2', 'v3-b', 'v4b', 180000, 2),
|
||||
('v6', 'v1', 'v2', 'v3-b', 'v4b', 360000, 2);
|
||||
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
TQL EVAL (180, 360, '180s') count(((rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]) / on(l3,l4) group_left metric_b{l6="v6",l1="v1",l2="v2",l3=~"v3(|-a|-b)"}) > 0.50));
|
||||
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
TQL EVAL (180, 360, '180s') count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]));
|
||||
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
TQL EVAL (180, 360, '180s') count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m])) / 2;
|
||||
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
TQL EVAL (180, 360, '180s') (count(((rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]) / on(l3,l4) group_left metric_b{l6="v6",l1="v1",l2="v2",l3=~"v3(|-a|-b)"}) > 0.50)) / count(rate(metric_a{l1="v1",l2="v2",l3=~"v3(|-a|-b)"}[3m]))) * 100;
|
||||
|
||||
DROP TABLE metric_a;
|
||||
DROP TABLE metric_b;
|
||||
DROP TABLE phy;
|
||||
@@ -427,8 +427,8 @@ SELECT min(val) as min_computed, max(val) as max_computed FROM computed;
|
||||
| | Aggregate: groupBy=[[]], aggr=[[min(computed.val), max(computed.val)]] |
|
||||
| | SubqueryAlias: computed |
|
||||
| | Projection: metric.ts AS ts, val * Float64(2) + Float64(1) AS val |
|
||||
| | Projection: metric.ts, val * Float64(2) + Float64(1) AS val * Float64(2) + Float64(1) |
|
||||
| | Projection: metric.ts, metric.val * Float64(2) AS val * Float64(2) |
|
||||
| | Projection: metric.ts, CAST(val * Float64(2) AS Float64) + Float64(1) AS val * Float64(2) + Float64(1) |
|
||||
| | Projection: metric.ts, CAST(metric.val AS Float64) * Float64(2) AS val * Float64(2) |
|
||||
| | PromInstantManipulate: range=[0..40000], lookback=[300000], interval=[10000], time index=[ts] |
|
||||
| | PromSeriesDivide: tags=[] |
|
||||
| | Filter: metric.ts >= TimestampMillisecond(-299999, None) AND metric.ts <= TimestampMillisecond(40000, None) |
|
||||
|
||||
Reference in New Issue
Block a user