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dolt/.github/scripts/performance-benchmarking/get-mysql-dolt-job-json.sh
2023-11-02 16:22:30 -07:00

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#!/bin/sh
set -e
if [ "$#" -lt 9 ]; then
echo "Usage: ./get-job-json.sh <jobname> <fromServer> <fromVersion> <toServer> <toVersion> <timeprefix> <actorprefix> <format> <issueNumber> <initBigRepo> <nomsBinFormat> <withTpcc>"
exit 1
fi
jobname="$1"
fromServer="$2"
fromVersion="$3"
toServer="$4"
toVersion="$5"
timeprefix="$6"
actorprefix="$7"
format="$8"
issueNumber="$9"
initBigRepo="${10}"
nomsBinFormat="${11}"
withTpcc="${12}"
precision="1"
tpccRegex="tpcc%"
if [ -n "$initBigRepo" ]; then
initBigRepo="\"--init-big-repo=$initBigRepo\","
fi
if [ -n "$nomsBinFormat" ]; then
nomsBinFormat="\"--noms-bin-format=$nomsBinFormat\","
fi
if [ -n "$withTpcc" ]; then
withTpcc="\"--withTpcc=$withTpcc\","
fi
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')"
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;"
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)"
writeTests="('oltp_read_write', 'oltp_update_index', 'oltp_update_non_index', 'oltp_insert', 'oltp_write_only', 'oltp_delete_insert', 'types_delete_insert')"
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;"
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 group by f.test_name)"
tpccLatencyQuery="select f.test_name as test_name, 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), $precision) as multiplier from from_results as f join to_results as t on f.test_name = t.test_name where f.test_name LIKE '$tpccRegex' group by f.test_name;"
tpccTpsQuery="select f.test_name as test_name, f.server_name, f.server_version, avg(f.sql_transactions_per_second) as tps, t.test_name as test_name, t.server_name, t.server_version, avg(t.sql_transactions_per_second) as tps 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"
}
},
"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": "ACTOR", "value": "'$ACTOR'" },
{ "name": "ACTOR_EMAIL", "value": "'$ACTOR_EMAIL'" },
{ "name": "REPO_ACCESS_TOKEN", "value": "'$REPO_ACCESS_TOKEN'" }
],
"imagePullPolicy": "Always",
"args": [
"--schema=/schema.sql",
"--useDoltHubLuaScriptsRepo",
"--output='$format'",
"--mysql-exec=/usr/sbin/mysqld",
"--mysql-protocol=unix",
"--from-server='$fromServer'",
"--from-version='$fromVersion'",
"--to-server='$toServer'",
"--to-version='$toVersion'",
"--bucket=performance-benchmarking-github-actions-results",
"--region=us-west-2",
"--results-dir='$timeprefix'",
"--results-prefix='$actorprefix'",
'"$withTpcc"'
'"$initBigRepo"'
'"$nomsBinFormat"'
"--sysbenchQueries='"$medianLatencyMultiplierReadsQuery"'",
"--sysbenchQueries='"$meanMultiplierReadsQuery"'",
"--sysbenchQueries='"$medianLatencyMultiplierWritesQuery"'",
"--sysbenchQueries='"$meanMultiplierWritesQuery"'",
"--sysbenchQueries='"$meanMultiplierOverallQuery"'",
"--tpccQueries='"$tpccLatencyQuery"'",
"--tpccQueries='"$tpccTpsQuery"'"
]
}
],
"restartPolicy": "Never",
"nodeSelector": {
"performance-benchmarking-worker": "true"
},
"tolerations": [
{
"effect": "NoSchedule",
"key": "dedicated",
"operator": "Equal",
"value": "performance-benchmarking-worker"
}
]
}
}
}
}
'