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roachtest: export allocator roachperf benchmark
The allocator related roachtests do not currently export benchmark related statistics. This patch introduces stat collection on replicate/up/1to3, replicate/rebalance/3to5, rebalance/by-load/leases and rebalance/by-load/ranges. The benchmark metric for the nightly run is the time taken to reach balance, from starting the test. In addition, cluster statistics are exported for detailed view into: cpu usage, io bandwidth, qps and range counts. Release note: None
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,98 @@ | ||
| // Copyright 2022 The Cockroach Authors. | ||
| // | ||
| // Use of this software is governed by the Business Source License | ||
| // included in the file licenses/BSL.txt. | ||
| // | ||
| // As of the Change Date specified in that file, in accordance with | ||
| // the Business Source License, use of this software will be governed | ||
| // by the Apache License, Version 2.0, included in the file | ||
| // licenses/APL.txt. | ||
|
|
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| package tests | ||
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| import ( | ||
| "fmt" | ||
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| "github.com/cockroachdb/cockroach/pkg/cmd/roachtest/clusterstats" | ||
| "github.com/montanaflynn/stats" | ||
| ) | ||
|
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||
| var ( | ||
| qpsStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_queriespersecond"} | ||
| rqpsStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_requestspersecond"} | ||
| wpsStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_writespersecond"} | ||
| rpsStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_readspersecond"} | ||
| // NB: CPU is fractional, roachperf will only take integers on a detailed | ||
| // view. Scale by 100 to get % here. When aggregating on cpu, measure | ||
| // of distribution that are normalized are preferred, due to scale. | ||
| cpuStat = clusterstats.ClusterStat{LabelName: "instance", Query: "sys_cpu_combined_percent_normalized * 100"} | ||
| // NB: These are recorded as counters. These are then rated, as we are | ||
| // interested in the progression at points in time. | ||
| ioReadStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rate(sys_host_disk_read_bytes[10m])"} | ||
| ioWriteStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rate(sys_host_disk_write_bytes[10m])"} | ||
| netSendStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rate(sys_host_net_send_bytes[10m])"} | ||
| netRecvStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rate(sys_host_net_recv_bytes[10m])"} | ||
| rangeCountStat = clusterstats.ClusterStat{LabelName: "instance", Query: "ranges"} | ||
| underreplicatedStat = clusterstats.ClusterStat{LabelName: "instance", Query: "ranges_underreplicated"} | ||
| replicasStat = clusterstats.ClusterStat{LabelName: "instance", Query: "replicas"} | ||
| leaseTransferStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_lease_transfers"} | ||
| rangeRebalancesStat = clusterstats.ClusterStat{LabelName: "instance", Query: "rebalancing_range_rebalances"} | ||
| rangeSplitStat = clusterstats.ClusterStat{LabelName: "instance", Query: "range_splits"} | ||
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| underReplicatedSummary = []clusterstats.AggQuery{ | ||
| {Stat: underreplicatedStat, Query: "sum(ranges_underreplicated)"}, | ||
| } | ||
| rangeBalanceSummary = []clusterstats.AggQuery{ | ||
| {Stat: rangeCountStat, AggFn: distributionAggregate}, | ||
| } | ||
| actionsSummary = []clusterstats.AggQuery{ | ||
| {Stat: rangeRebalancesStat, Query: "sum(rebalancing_range_rebalances)"}, | ||
| {Stat: leaseTransferStat, Query: "sum(rebalancing_lease_transfers)"}, | ||
| {Stat: rangeSplitStat, Query: "sum(range_splits)"}, | ||
| } | ||
| resourceBalanceSummary = []clusterstats.AggQuery{ | ||
| // NB: cv is an abbreviation for coefficient of variation. | ||
| {Stat: cpuStat, AggFn: distributionAggregate}, | ||
| {Stat: ioWriteStat, AggFn: distributionAggregate}, | ||
| {Stat: ioReadStat, AggFn: distributionAggregate}, | ||
| } | ||
| requestBalanceSummary = []clusterstats.AggQuery{ | ||
| {Stat: qpsStat, AggFn: distributionAggregate}, | ||
| {Stat: wpsStat, AggFn: distributionAggregate}, | ||
| {Stat: rpsStat, AggFn: distributionAggregate}, | ||
| } | ||
| ) | ||
|
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| func joinSummaryQueries(queries ...[]clusterstats.AggQuery) []clusterstats.AggQuery { | ||
| ret := make([]clusterstats.AggQuery, 0, 1) | ||
| for _, q := range queries { | ||
| ret = append(ret, q...) | ||
| } | ||
| return ret | ||
| } | ||
|
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| func distributionAggregate(query string, series [][]float64) (string, []float64) { | ||
| return fmt.Sprintf("cv(%s)", query), scale(applyToSeries(series, coefficientOfVariation), 100) | ||
| } | ||
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| func applyToSeries(timeseries [][]float64, aggFn func(vals []float64) float64) []float64 { | ||
| ret := make([]float64, len(timeseries)) | ||
| for i := range timeseries { | ||
| ret[i] = aggFn(timeseries[i]) | ||
| } | ||
| return ret | ||
| } | ||
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| func coefficientOfVariation(vals []float64) float64 { | ||
| stdev, _ := stats.StandardDeviationSample(vals) | ||
| mean, _ := stats.Mean(vals) | ||
| return stdev / mean | ||
| } | ||
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| func scale(vals []float64, scale float64) []float64 { | ||
| scaled := make([]float64, len(vals)) | ||
| for i := range vals { | ||
| scaled[i] = vals[i] * scale | ||
| } | ||
| return scaled | ||
| } |