chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1,135 @@
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#!/bin/sh
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set -e
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if [ "$#" -lt 10 ]; then
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echo "Usage: ./get-job-json.sh <jobname> <fromServer> <fromVersion> <toServer> <toVersion> <timePrefix> <actorPrefix> <format> <issueNumber> <initBigRepo> <nomsBinFormat> <sysbenchTestTime> <withTpcc>"
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exit 1
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fi
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jobName="$1"
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fromServer="$2"
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fromVersion="$3"
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toServer="$4"
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toVersion="$5"
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timePrefix="$6"
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actorPrefix="$7"
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format="$8"
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issueNumber="$9"
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initBigRepo="${10}"
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nomsBinFormat="${11}"
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sysbenchTestTime="${12}"
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withTpcc="${13}"
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tpccRegex="tpcc%"
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if [ -n "$initBigRepo" ]; then
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initBigRepo="\"--init-big-repo=$initBigRepo\","
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fi
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if [ -n "$nomsBinFormat" ]; then
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nomsBinFormat="\"--noms-bin-format=$nomsBinFormat\","
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fi
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if [ -n "$sysbenchTestTime" ]; then
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sysbenchTestTime="\"--sysbench-test-time=$sysbenchTestTime\","
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fi
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if [ -n "$withTpcc" ]; then
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withTpcc="\"--withTpcc=$withTpcc\","
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fi
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readTests="('oltp_read_only','oltp_point_select','select_random_points','select_random_ranges','covering_index_scan','index_scan','table_scan','groupby_scan','index_join_scan','types_table_scan','index_join')"
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medianLatencyChangeReadsQuery="with result(test_name, from_latency, to_latency) as (select f.test_name, avg(f.latency_percentile), avg(t.latency_percentile) from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $readTests group by f.test_name) select test_name as read_tests, from_latency, to_latency, round(100 * ((to_latency - from_latency) / from_latency), 2) as percent_change from result;"
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writeTests="('oltp_read_write','oltp_update_index','oltp_update_non_index','oltp_insert','oltp_write_only','oltp_delete_insert','types_delete_insert')"
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medianLatencyChangeWritesQuery="with result(test_name, from_latency, to_latency) as (select f.test_name, avg(f.latency_percentile), avg(t.latency_percentile) from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $writeTests group by f.test_name) select test_name as write_tests, from_latency, to_latency, round(100 * ((to_latency - from_latency) / from_latency), 2) as percent_change from result;"
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tpccLatencyQuery="with result(test_name, from_latency, to_latency) as (select f.test_name, avg(f.latency_percentile), avg(t.latency_percentile) from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name LIKE '$tpccRegex' group by f.test_name) select test_name, from_latency as from_latency_p95, to_latency as to_latency_p95, round(100 * ((to_latency - from_latency) / from_latency), 2) as percent_change from result;"
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tpccTpsQuery="with result(test_name, from_server_name, from_server_version, from_tps, to_server_name, to_server_version, to_tps) as (select f.test_name, f.server_name, f.server_version, avg(f.sql_transactions_per_second), t.server_name, t.server_version, avg(t.sql_transactions_per_second) from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name LIKE 'tpcc%' group by f.test_name) select test_name, from_server_name, from_server_version, from_tps, to_server_name, to_server_version, to_tps, round(100 * ((to_tps - from_tps) / from_tps), 2) as percent_change from result;"
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perfRegressionQuery="with result(from_lat, to_lat) as (select avg(f.latency_percentile), avg(t.latency_percentile) from from_results as f join to_results as t on f.test_name = t.test_name group by t.test_name) select sum((to_lat - from_lat) / from_lat > 0.05) from result;"
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echo '
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{
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"apiVersion": "batch/v1",
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"kind": "Job",
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"metadata": {
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"name": "'$jobName'",
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"namespace": "performance-benchmarking"
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},
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"spec": {
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"backoffLimit": 1,
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"template": {
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"metadata": {
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"annotations": {
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"alert_recipients": "'$ACTOR_EMAIL'"
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},
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"labels": {
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"k8s-liquidata-inc-monitored-job": "created-by-static-config",
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"app": "performance-benchmarking"
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}
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},
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"spec": {
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"serviceAccountName": "performance-benchmarking",
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"containers": [
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{
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"name": "performance-benchmarking",
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"image": "407903926827.dkr.ecr.us-west-2.amazonaws.com/liquidata/performance-benchmarking:latest",
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"resources": {
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"limits": {
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"cpu": "7000m"
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}
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},
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"env": [
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{ "name": "GOMAXPROCS", "value": "7" },
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{ "name": "GOEXPERIMENT", "value": "greenteagc" },
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{ "name": "ACTOR", "value": "'$ACTOR'" },
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{ "name": "ACTOR_EMAIL", "value": "'$ACTOR_EMAIL'" },
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{ "name": "REPO_ACCESS_TOKEN", "value": "'$REPO_ACCESS_TOKEN'" }
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],
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"imagePullPolicy": "Always",
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"args": [
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"--schema=/app/schema.sql",
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"--useDoltHubLuaScriptsRepo",
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"--output='$format'",
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"--from-server='$fromServer'",
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"--from-version='$fromVersion'",
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"--to-server='$toServer'",
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"--to-version='$toVersion'",
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"--bucket=performance-benchmarking-github-actions-results",
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"--region=us-west-2",
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"--issue-number='$issueNumber'",
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"--results-dir='$timePrefix'",
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"--results-prefix='$actorPrefix'",
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"--perf-regression-query='"$perfRegressionQuery"'",
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'"$sysbenchTestTime"'
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'"$withTpcc"'
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'"$initBigRepo"'
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'"$nomsBinFormat"'
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"--sysbenchQueries='"$medianLatencyChangeReadsQuery"'",
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"--sysbenchQueries='"$medianLatencyChangeWritesQuery"'",
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"--tpccQueries='"$tpccLatencyQuery"'",
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"--tpccQueries='"$tpccTpsQuery"'"
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]
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}
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],
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"restartPolicy": "Never",
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"nodeSelector": {
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"performance-benchmarking-worker": "true"
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},
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"tolerations": [
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{
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"effect": "NoSchedule",
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"key": "dedicated",
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"operator": "Equal",
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"value": "performance-benchmarking-worker"
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}
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]
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}
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}
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}
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}
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'
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@@ -0,0 +1,98 @@
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#!/bin/sh
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set -e
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if [ "$#" -lt 6 ]; then
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echo "Usage: ./get-job-json.sh <jobname> <version> <futureVersion> <timePrefix> <actorPrefix> <format> <initBigRepo> <nomsBinFormat>"
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exit 1
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fi
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jobName="$1"
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version="$2"
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futureVersion="$3"
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timePrefix="$4"
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actorPrefix="$5"
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format="$6"
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initBigRepo="$7"
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nomsBinFormat="$8"
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if [ -n "$initBigRepo" ]; then
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initBigRepo="\"--init-big-repo=$initBigRepo\","
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fi
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if [ -n "$nomsBinFormat" ]; then
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nomsBinFormat="\"--noms-bin-format=$nomsBinFormat\","
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fi
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echo '
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{
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"apiVersion": "batch/v1",
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"kind": "Job",
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"metadata": {
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"name": "'$jobName'",
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"namespace": "performance-benchmarking"
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},
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"spec": {
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"backoffLimit": 1,
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"template": {
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"metadata": {
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"annotations": {
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"alert_recipients": "'$ACTOR_EMAIL'"
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},
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"labels": {
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"k8s-liquidata-inc-monitored-job": "created-by-static-config",
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"app": "performance-benchmarking"
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}
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},
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"spec": {
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"serviceAccountName": "performance-benchmarking",
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"containers": [
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{
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"name": "performance-benchmarking",
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"image": "407903926827.dkr.ecr.us-west-2.amazonaws.com/liquidata/performance-benchmarking:latest",
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"resources": {
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"limits": {
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"cpu": "7000m"
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}
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},
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"env": [
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{ "name": "GOMAXPROCS", "value": "7" },
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{ "name": "GOEXPERIMENT", "value": "greenteagc" },
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{ "name": "ACTOR", "value": "'$ACTOR'" },
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{ "name": "ACTOR_EMAIL", "value": "'$ACTOR_EMAIL'" },
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{ "name": "REPO_ACCESS_TOKEN", "value": "'$REPO_ACCESS_TOKEN'" },
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{ "name": "BRANCH", "value": "'$BRANCH'" }
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],
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"imagePullPolicy": "Always",
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"args": [
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"--schema=/app/schema.sql",
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"--useDoltHubLuaScriptsRepo",
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"--profile-version='"$version"'",
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"--future-version='"$futureVersion"'",
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"--bucket=performance-benchmarking-github-actions-results",
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"--region=us-west-2",
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"--results-dir='$timePrefix'",
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"--results-prefix='$actorPrefix'",
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'"$initBigRepo"'
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'"$nomsBinFormat"'
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"--output='$format'"
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]
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}
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],
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"restartPolicy": "Never",
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"nodeSelector": {
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"performance-benchmarking-worker": "true"
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},
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"tolerations": [
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{
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"effect": "NoSchedule",
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"key": "dedicated",
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"operator": "Equal",
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"value": "performance-benchmarking-worker"
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}
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]
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}
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}
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}
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}
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'
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@@ -0,0 +1,147 @@
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#!/bin/sh
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set -e
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if [ "$#" -lt 12 ]; then
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echo "Usage: ./get-job-json.sh <jobname> <fromServer> <fromVersion> <toServer> <toVersion> <timeprefix> <actorprefix> <format> <issueNumber> <initBigRepo> <nomsBinFormat> <sysbenchTestTime> <withTpcc>"
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exit 1
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fi
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jobname="$1"
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fromServer="$2"
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fromVersion="$3"
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toServer="$4"
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toVersion="$5"
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timeprefix="$6"
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actorprefix="$7"
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format="$8"
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issueNumber="$9"
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initBigRepo="${10}"
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nomsBinFormat="${11}"
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sysbenchTestTime="${12}"
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withTpcc="${13}"
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precision="2"
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tpccRegex="tpcc%"
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toProfileKey=""
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if [ -n "$initBigRepo" ]; then
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initBigRepo="\"--init-big-repo=$initBigRepo\","
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fi
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if [ -n "$nomsBinFormat" ]; then
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nomsBinFormat="\"--noms-bin-format=$nomsBinFormat\","
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fi
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if [ -n "$sysbenchTestTime" ]; then
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sysbenchTestTime="\"--sysbench-test-time=$sysbenchTestTime\","
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fi
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if [ -n "$withTpcc" ]; then
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withTpcc="\"--withTpcc=$withTpcc\","
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fi
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if [ -n "$TO_PROFILE_KEY" ]; then
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toProfileKey="\"--to-profile-key=$TO_PROFILE_KEY\","
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fi
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readTests="('oltp_read_only', 'oltp_point_select', 'select_random_points', 'select_random_ranges', 'covering_index_scan', 'index_scan', 'table_scan', 'groupby_scan', 'index_join_scan', 'types_table_scan', 'index_join')"
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medianLatencyMultiplierReadsQuery="select f.test_name as read_tests, f.server_name, f.server_version, avg(f.latency_percentile) as from_latency_median, t.server_name, t.server_version, avg(t.latency_percentile) as to_latency_median, ROUND(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision) as multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $readTests group by f.test_name;"
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meanMultiplierReadsQuery="select round(avg(multipliers), $precision) as reads_mean_multiplier from (select (round(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision)) as multipliers from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $readTests group by f.test_name)"
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writeTests="('oltp_read_write', 'oltp_update_index', 'oltp_update_non_index', 'oltp_insert', 'oltp_write_only', 'oltp_delete_insert', 'types_delete_insert')"
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medianLatencyMultiplierWritesQuery="select f.test_name as write_tests, f.server_name, f.server_version, avg(f.latency_percentile) as from_latency_median, t.server_name, t.server_version, avg(t.latency_percentile) as to_latency_median, ROUND(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision) as multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $writeTests group by f.test_name;"
|
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meanMultiplierWritesQuery="select round(avg(multipliers), $precision) as writes_mean_multiplier from (select (round(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision)) as multipliers from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name in $writeTests group by f.test_name)"
|
||||
|
||||
meanMultiplierOverallQuery="select round(avg(multipliers), $precision) as overall_mean_multiplier from (select (round(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision)) as multipliers from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name != 'bulk_insert' group by f.test_name)"
|
||||
|
||||
tpccLatencyQuery="select f.test_name as tpcc_latency, f.server_name, f.server_version, avg(f.latency_percentile) as from_latency_p95, t.server_name, t.server_version, avg(t.latency_percentile) as to_latency_p95, ROUND(avg(t.latency_percentile) / (avg(f.latency_percentile) + .000001), $precision) as multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name LIKE '$tpccRegex' group by f.test_name;"
|
||||
tpccTpsQuery="select f.test_name as tpcc_tps, f.server_name, f.server_version, avg(f.sql_transactions_per_second) as from_tps, t.test_name as test_name, t.server_name, t.server_version, avg(t.sql_transactions_per_second) as to_tps, ROUND(avg(f.sql_transactions_per_second) / (avg(t.sql_transactions_per_second) + .000001), $precision) as multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name LIKE 'tpcc%' group by f.test_name;"
|
||||
tpccTpsMultiplierQuery="select ROUND(avg(f.sql_transactions_per_second) / (avg(t.sql_transactions_per_second) + .000001), $precision) as tpcc_tps_multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name like 'tpcc%' group by f.test_name"
|
||||
|
||||
echo '
|
||||
{
|
||||
"apiVersion": "batch/v1",
|
||||
"kind": "Job",
|
||||
"metadata": {
|
||||
"name": "'$jobname'",
|
||||
"namespace": "performance-benchmarking"
|
||||
},
|
||||
"spec": {
|
||||
"backoffLimit": 3,
|
||||
"template": {
|
||||
"metadata": {
|
||||
"annotations": {
|
||||
"alert_recipients": "'$ACTOR_EMAIL'"
|
||||
},
|
||||
"labels": {
|
||||
"k8s-liquidata-inc-monitored-job": "created-by-static-config",
|
||||
"app": "performance-benchmarking"
|
||||
}
|
||||
},
|
||||
"spec": {
|
||||
"serviceAccountName": "performance-benchmarking",
|
||||
"containers": [
|
||||
{
|
||||
"name": "performance-benchmarking",
|
||||
"image": "407903926827.dkr.ecr.us-west-2.amazonaws.com/liquidata/performance-benchmarking:latest",
|
||||
"resources": {
|
||||
"limits": {
|
||||
"cpu": "7000m"
|
||||
}
|
||||
},
|
||||
"env": [
|
||||
{ "name": "GOMAXPROCS", "value": "7" },
|
||||
{ "name": "GOEXPERIMENT", "value": "greenteagc" },
|
||||
{ "name": "ACTOR", "value": "'$ACTOR'" },
|
||||
{ "name": "ACTOR_EMAIL", "value": "'$ACTOR_EMAIL'" },
|
||||
{ "name": "REPO_ACCESS_TOKEN", "value": "'$REPO_ACCESS_TOKEN'" }
|
||||
],
|
||||
"imagePullPolicy": "Always",
|
||||
"args": [
|
||||
"--schema=/app/schema.sql",
|
||||
"--useDoltHubLuaScriptsRepo",
|
||||
"--output='$format'",
|
||||
"--mysql-exec=/usr/sbin/mysqld",
|
||||
"--mysql-socket=/home/tester/.mysql/mysqld.sock",
|
||||
"--mysql-protocol=unix",
|
||||
"--from-server='$fromServer'",
|
||||
"--from-version='$fromVersion'",
|
||||
"--to-server='$toServer'",
|
||||
"--to-version='$toVersion'",
|
||||
'"$toProfileKey"'
|
||||
"--bucket=performance-benchmarking-github-actions-results",
|
||||
"--region=us-west-2",
|
||||
"--results-dir='$timeprefix'",
|
||||
"--results-prefix='$actorprefix'",
|
||||
'"$sysbenchTestTime"'
|
||||
'"$withTpcc"'
|
||||
'"$initBigRepo"'
|
||||
'"$nomsBinFormat"'
|
||||
"--sysbenchQueries='"$medianLatencyMultiplierReadsQuery"'",
|
||||
"--sysbenchQueries='"$meanMultiplierReadsQuery"'",
|
||||
"--sysbenchQueries='"$medianLatencyMultiplierWritesQuery"'",
|
||||
"--sysbenchQueries='"$meanMultiplierWritesQuery"'",
|
||||
"--sysbenchQueries='"$meanMultiplierOverallQuery"'",
|
||||
"--tpccQueries='"$tpccLatencyQuery"'",
|
||||
"--tpccQueries='"$tpccTpsQuery"'",
|
||||
"--tpccQueries='"$tpccTpsMultiplierQuery"'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"restartPolicy": "Never",
|
||||
"nodeSelector": {
|
||||
"performance-benchmarking-worker": "true"
|
||||
},
|
||||
"tolerations": [
|
||||
{
|
||||
"effect": "NoSchedule",
|
||||
"key": "dedicated",
|
||||
"operator": "Equal",
|
||||
"value": "performance-benchmarking-worker"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
'
|
||||
+133
@@ -0,0 +1,133 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -e
|
||||
|
||||
if [ -z "$KUBECONFIG" ]; then
|
||||
echo "Must set KUBECONFIG"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [ -z "$TEMPLATE_SCRIPT" ]; then
|
||||
echo "Must set TEMPLATE_SCRIPT"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [ -z "$NOMS_BIN_FORMAT" ]; then
|
||||
echo "Must set NOMS_BIN_FORMAT"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [ -n "$PROFILE" ]; then
|
||||
if [ -z "$FROM_VERSION" ]; then
|
||||
echo "Must set FROM_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
if [ -z "$FUTURE_VERSION" ]; then
|
||||
echo "Setting FUTURE_VERSION to $FROM_VERSION"
|
||||
export FUTURE_VERSION="$FROM_VERSION"
|
||||
fi
|
||||
|
||||
echo "Setting profile version to $FROM_VERSION"
|
||||
else
|
||||
if [ -z "$FROM_SERVER" ] || [ -z "$FROM_VERSION" ] || [ -z "$TO_SERVER" ] || [ -z "$TO_VERSION" ]; then
|
||||
echo "Must set FROM_SERVER FROM_VERSION TO_SERVER and TO_VERSION"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "Setting from $FROM_SERVER: $FROM_VERSION"
|
||||
echo "Setting to $TO_SERVER: $TO_VERSION"
|
||||
fi
|
||||
|
||||
if [ -z "$ACTOR" ]; then
|
||||
echo "Must set ACTOR"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [ -z "$MODE" ]; then
|
||||
echo "Must set MODE"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [ "$NOMS_BIN_FORMAT" = "__DOLT__" ]; then
|
||||
INIT_BIG_REPO="false"
|
||||
fi
|
||||
|
||||
# use first 8 characters of FROM_VERSION | TO_VERSION to differentiate
|
||||
# jobs
|
||||
short=${TO_VERSION:0:8}
|
||||
if [ -n "$PROFILE" ]; then
|
||||
short=${FROM_VERSION:0:8}
|
||||
fi
|
||||
|
||||
lowered=$(echo "$ACTOR" | tr '[:upper:]' '[:lower:]')
|
||||
actorShort="$lowered-$short"
|
||||
|
||||
# random sleep
|
||||
sleep 0.$[ ( $RANDOM % 10 ) + 1 ]s
|
||||
|
||||
timesuffix=`date +%s%N`
|
||||
|
||||
jobname="$actorShort"
|
||||
if [ -n "$WITH_TPCC" ]; then
|
||||
jobname="$jobname-tpcc"
|
||||
elif [ -n "$PROFILE" ]; then
|
||||
jobname="$jobname-profile"
|
||||
fi
|
||||
|
||||
jobname="$jobname-$timesuffix"
|
||||
|
||||
timeprefix=$(date +%Y/%m/%d)
|
||||
|
||||
actorprefix="$MODE/$lowered/$jobname/$NOMS_BIN_FORMAT"
|
||||
|
||||
format="markdown"
|
||||
if [[ "$MODE" = "release" || "$MODE" = "nightly" ]]; then
|
||||
format="html"
|
||||
fi
|
||||
|
||||
export TO_PROFILE_KEY
|
||||
|
||||
# set value to ISSUE_NUMBER environment variable
|
||||
# or default to -1
|
||||
issuenumber=${ISSUE_NUMBER:-"-1"}
|
||||
|
||||
if [ -n "$PROFILE" ]; then
|
||||
source \
|
||||
"$TEMPLATE_SCRIPT" \
|
||||
"$jobname" \
|
||||
"$FROM_VERSION" \
|
||||
"$FUTURE_VERSION" \
|
||||
"$timeprefix" \
|
||||
"$actorprefix" \
|
||||
"$format" \
|
||||
"$INIT_BIG_REPO" \
|
||||
"$NOMS_BIN_FORMAT" > job.json
|
||||
else
|
||||
source \
|
||||
"$TEMPLATE_SCRIPT" \
|
||||
"$jobname" \
|
||||
"$FROM_SERVER" \
|
||||
"$FROM_VERSION" \
|
||||
"$TO_SERVER" \
|
||||
"$TO_VERSION" \
|
||||
"$timeprefix" \
|
||||
"$actorprefix" \
|
||||
"$format" \
|
||||
"$issuenumber" \
|
||||
"$INIT_BIG_REPO" \
|
||||
"$NOMS_BIN_FORMAT" \
|
||||
"$SYSBENCH_TEST_TIME" \
|
||||
"$WITH_TPCC" > job.json
|
||||
fi
|
||||
|
||||
out=$(KUBECONFIG="$KUBECONFIG" kubectl apply -f job.json || true)
|
||||
|
||||
if [ "$out" != "job.batch/$jobname created" ]; then
|
||||
echo "something went wrong creating job... this job likely already exists in the cluster"
|
||||
echo "$out"
|
||||
exit 1
|
||||
else
|
||||
echo "$out"
|
||||
fi
|
||||
|
||||
exit 0
|
||||
@@ -0,0 +1,16 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -e
|
||||
|
||||
if [[ $# -ne 1 ]]; then
|
||||
echo "Usage: ./validate-commentor.sh COMMENTOR"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
validcommentors="coffeegoddd bheni Hydrocharged reltuk tbantle22 timsehn zachmu nicktobey fulghum macneale4 jycor angelamayxie elianddb"
|
||||
|
||||
contains() {
|
||||
[[ $1 =~ (^|[[:space:]])$2($|[[:space:]]) ]] && echo "valid=true" >> $GITHUB_OUTPUT || exit 0
|
||||
}
|
||||
|
||||
contains "$validcommentors" "$1"
|
||||
Reference in New Issue
Block a user