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ClickHouse/docker/test/performance-comparison/compare.sh
Alexander Kuzmenkov dda88eebd1
test again
2020-09-16 18:35:27 +03:00

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#!/bin/bash
set -exu
set -o pipefail
trap "exit" INT TERM
trap 'kill $(jobs -pr) ||:' EXIT
stage=${stage:-}
script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
function wait_for_server # port, pid
{
for _ in {1..60}
do
if clickhouse-client --port "$1" --query "select 1" || ! kill -0 "$2"
then
break
fi
sleep 1
done
if ! clickhouse-client --port "$1" --query "select 1"
then
echo "Cannot connect to ClickHouse server at $1"
return 1
fi
if ! kill -0 "$2"
then
echo "Server pid '$2' is not running"
return 1
fi
}
function configure
{
# Use the new config for both servers, so that we can change it in a PR.
rm right/config/config.d/text_log.xml ||:
cp -rv right/config left ||:
sed -i 's/<tcp_port>900./<tcp_port>9001/g' left/config/config.xml
sed -i 's/<tcp_port>900./<tcp_port>9002/g' right/config/config.xml
# Start a temporary server to rename the tables
while killall clickhouse-server; do echo . ; sleep 1 ; done
echo all killed
set -m # Spawn temporary in its own process groups
left/clickhouse-server --config-file=left/config/config.xml -- --path db0 --user_files_path db0/user_files &> setup-server-log.log &
left_pid=$!
kill -0 $left_pid
disown $left_pid
set +m
wait_for_server 9001 $left_pid
echo Server for setup started
clickhouse-client --port 9001 --query "create database test" ||:
clickhouse-client --port 9001 --query "rename table datasets.hits_v1 to test.hits" ||:
while killall clickhouse-server; do echo . ; sleep 1 ; done
echo all killed
# Make copies of the original db for both servers. Use hardlinks instead
# of copying to save space. Before that, remove preprocessed configs and
# system tables, because sharing them between servers with hardlinks may
# lead to weird effects.
rm -r left/db ||:
rm -r right/db ||:
rm -r db0/preprocessed_configs ||:
rm -r db0/{data,metadata}/system ||:
cp -al db0/ left/db/
cp -al db0/ right/db/
}
function restart
{
while killall clickhouse-server; do echo . ; sleep 1 ; done
echo all killed
set -m # Spawn servers in their own process groups
left/clickhouse-server --config-file=left/config/config.xml -- --path left/db --user_files_path left/db/user_files &>> left-server-log.log &
left_pid=$!
kill -0 $left_pid
disown $left_pid
right/clickhouse-server --config-file=right/config/config.xml -- --path right/db --user_files_path right/db/user_files &>> right-server-log.log &
right_pid=$!
kill -0 $right_pid
disown $right_pid
set +m
wait_for_server 9001 $left_pid
echo left ok
wait_for_server 9002 $right_pid
echo right ok
clickhouse-client --port 9001 --query "select * from system.tables where database != 'system'"
clickhouse-client --port 9001 --query "select * from system.build_options"
clickhouse-client --port 9002 --query "select * from system.tables where database != 'system'"
clickhouse-client --port 9002 --query "select * from system.build_options"
# Check again that both servers we started are running -- this is important
# for running locally, when there might be some other servers started and we
# will connect to them instead.
kill -0 $left_pid
kill -0 $right_pid
}
function run_tests
{
# Just check that the script runs at all
"$script_dir/perf.py" --help > /dev/null
changed_test_files=""
# Find the directory with test files.
if [ -v CHPC_TEST_PATH ]
then
# Use the explicitly set path to directory with test files.
test_prefix="$CHPC_TEST_PATH"
elif [ "$PR_TO_TEST" == "0" ]
then
# When testing commits from master, use the older test files. This
# allows the tests to pass even when we add new functions and tests for
# them, that are not supported in the old revision.
test_prefix=left/performance
else
# For PRs, use newer test files so we can test these changes.
test_prefix=right/performance
# If only the perf tests were changed in the PR, we will run only these
# tests. The list of changed tests in changed-test.txt is prepared in
# entrypoint.sh from git diffs, because it has the cloned repo. Used
# to use rsync for that but it was really ugly and not always correct
# (e.g. when the reference SHA is really old and has some other
# differences to the tested SHA, besides the one introduced by the PR).
changed_test_files=$(sed "s/tests\/performance/${test_prefix//\//\\/}/" changed-tests.txt)
fi
# Determine which tests to run.
if [ -v CHPC_TEST_GREP ]
then
# Run only explicitly specified tests, if any.
# shellcheck disable=SC2010
test_files=$(ls "$test_prefix" | grep "$CHPC_TEST_GREP" | xargs -I{} -n1 readlink -f "$test_prefix/{}")
elif [ "$changed_test_files" != "" ]
then
# Use test files that changed in the PR.
test_files="$changed_test_files"
else
# The default -- run all tests found in the test dir.
test_files=$(ls "$test_prefix"/*.xml)
fi
# For PRs, test only a subset of queries, and run them less times.
# If the corresponding environment variables are already set, keep
# those values.
if [ "$PR_TO_TEST" == "0" ]
then
CHPC_RUNS=${CHPC_RUNS:-13}
CHPC_MAX_QUERIES=${CHPC_MAX_QUERIES:-0}
else
CHPC_RUNS=${CHPC_RUNS:-7}
CHPC_MAX_QUERIES=${CHPC_MAX_QUERIES:-20}
fi
export CHPC_RUNS
export CHPC_MAX_QUERIES
# Determine which concurrent benchmarks to run. For now, the only test
# we run as a concurrent benchmark is 'website'. Run it as benchmark if we
# are also going to run it as a normal test.
for test in $test_files; do echo "$test"; done | sed -n '/website/p' > benchmarks-to-run.txt
# Delete old report files.
for x in {test-times,wall-clock-times}.tsv
do
rm -v "$x" ||:
touch "$x"
done
# Randomize test order.
test_files=$(for f in $test_files; do echo "$f"; done | sort -R)
# Run the tests.
test_name="<none>"
for test in $test_files
do
# Check that both servers are alive, and restart them if they die.
clickhouse-client --port 9001 --query "select 1 format Null" \
|| { echo $test_name >> left-server-died.log ; restart ; }
clickhouse-client --port 9002 --query "select 1 format Null" \
|| { echo $test_name >> right-server-died.log ; restart ; }
test_name=$(basename "$test" ".xml")
echo test "$test_name"
TIMEFORMAT=$(printf "$test_name\t%%3R\t%%3U\t%%3S\n")
# The grep is to filter out set -x output and keep only time output.
# The '2>&1 >/dev/null' redirects stderr to stdout, and discards stdout.
{ \
time "$script_dir/perf.py" --host localhost localhost --port 9001 9002 \
--runs "$CHPC_RUNS" --max-queries "$CHPC_MAX_QUERIES" \
-- "$test" > "$test_name-raw.tsv" 2> "$test_name-err.log" ; \
} 2>&1 >/dev/null | tee >(grep -v ^+ >> "wall-clock-times.tsv") \
|| echo "Test $test_name failed with error code $?" >> "$test_name-err.log"
done
unset TIMEFORMAT
wait
}
# Run some queries concurrently and report the resulting TPS. This additional
# (relatively) short test helps detect concurrency-related effects, because the
# main performance comparison testing is done query-by-query.
function run_benchmark
{
rm -rf benchmark ||:
mkdir benchmark ||:
# The list is built by run_tests.
while IFS= read -r file
do
name=$(basename "$file" ".xml")
"$script_dir/perf.py" --print-queries "$file" > "benchmark/$name-queries.txt"
"$script_dir/perf.py" --print-settings "$file" > "benchmark/$name-settings.txt"
readarray -t settings < "benchmark/$name-settings.txt"
command=(clickhouse-benchmark --concurrency 6 --cumulative --iterations 1000 --randomize 1 --delay 0 --continue_on_errors "${settings[@]}")
"${command[@]}" --port 9001 --json "benchmark/$name-left.json" < "benchmark/$name-queries.txt"
"${command[@]}" --port 9002 --json "benchmark/$name-right.json" < "benchmark/$name-queries.txt"
done < benchmarks-to-run.txt
}
function get_profiles_watchdog
{
sleep 6000
echo "The trace collection did not finish in time." >> profile-errors.log
for pid in $(pgrep -f clickhouse)
do
gdb -p "$pid" --batch --ex "info proc all" --ex "thread apply all bt" --ex quit &> "$pid.gdb.log" &
done
wait
for _ in {1..10}
do
if ! pkill -f clickhouse
then
break
fi
sleep 1
done
}
function get_profiles
{
# Collect the profiles
clickhouse-client --port 9001 --query "set query_profiler_cpu_time_period_ns = 0"
clickhouse-client --port 9001 --query "set query_profiler_real_time_period_ns = 0"
clickhouse-client --port 9001 --query "system flush logs" &
clickhouse-client --port 9002 --query "set query_profiler_cpu_time_period_ns = 0"
clickhouse-client --port 9002 --query "set query_profiler_real_time_period_ns = 0"
clickhouse-client --port 9002 --query "system flush logs" &
wait
clickhouse-client --port 9001 --query "select * from system.query_log where type = 2 format TSVWithNamesAndTypes" > left-query-log.tsv ||: &
clickhouse-client --port 9001 --query "select * from system.query_thread_log format TSVWithNamesAndTypes" > left-query-thread-log.tsv ||: &
clickhouse-client --port 9001 --query "select * from system.trace_log format TSVWithNamesAndTypes" > left-trace-log.tsv ||: &
clickhouse-client --port 9001 --query "select arrayJoin(trace) addr, concat(splitByChar('/', addressToLine(addr))[-1], '#', demangle(addressToSymbol(addr)) ) name from system.trace_log group by addr format TSVWithNamesAndTypes" > left-addresses.tsv ||: &
clickhouse-client --port 9001 --query "select * from system.metric_log format TSVWithNamesAndTypes" > left-metric-log.tsv ||: &
clickhouse-client --port 9001 --query "select * from system.asynchronous_metric_log format TSVWithNamesAndTypes" > left-async-metric-log.tsv ||: &
clickhouse-client --port 9002 --query "select * from system.query_log where type = 2 format TSVWithNamesAndTypes" > right-query-log.tsv ||: &
clickhouse-client --port 9002 --query "select * from system.query_thread_log format TSVWithNamesAndTypes" > right-query-thread-log.tsv ||: &
clickhouse-client --port 9002 --query "select * from system.trace_log format TSVWithNamesAndTypes" > right-trace-log.tsv ||: &
clickhouse-client --port 9002 --query "select arrayJoin(trace) addr, concat(splitByChar('/', addressToLine(addr))[-1], '#', demangle(addressToSymbol(addr)) ) name from system.trace_log group by addr format TSVWithNamesAndTypes" > right-addresses.tsv ||: &
clickhouse-client --port 9002 --query "select * from system.metric_log format TSVWithNamesAndTypes" > right-metric-log.tsv ||: &
clickhouse-client --port 9002 --query "select * from system.asynchronous_metric_log format TSVWithNamesAndTypes" > right-async-metric-log.tsv ||: &
wait
# Just check that the servers are alive so that we return a proper exit code.
# We don't consistently check the return codes of the above background jobs.
clickhouse-client --port 9001 --query "select 1"
clickhouse-client --port 9002 --query "select 1"
}
function build_log_column_definitions
{
# FIXME This loop builds column definitons from TSVWithNamesAndTypes in an
# absolutely atrocious way. This should be done by the file() function itself.
for x in {right,left}-{addresses,{query,query-thread,trace,{async-,}metric}-log}.tsv
do
paste -d' ' \
<(sed -n '1{s/\t/\n/g;p;q}' "$x" | sed 's/\(^.*$\)/"\1"/') \
<(sed -n '2{s/\t/\n/g;p;q}' "$x" ) \
| tr '\n' ', ' | sed 's/,$//' > "$x.columns"
done
}
# Build and analyze randomization distribution for all queries.
function analyze_queries
{
rm -v analyze-commands.txt analyze-errors.log all-queries.tsv unstable-queries.tsv ./*-report.tsv raw-queries.tsv ||:
rm -rf analyze ||:
mkdir analyze analyze/tmp ||:
build_log_column_definitions
# Split the raw test output into files suitable for analysis.
for test_file in *-raw.tsv
do
test_name=$(basename "$test_file" "-raw.tsv")
sed -n "s/^query\t/$test_name\t/p" < "$test_file" >> "analyze/query-runs.tsv"
sed -n "s/^client-time\t/$test_name\t/p" < "$test_file" >> "analyze/client-times.tsv"
sed -n "s/^report-threshold\t/$test_name\t/p" < "$test_file" >> "analyze/report-thresholds.tsv"
sed -n "s/^skipped\t/$test_name\t/p" < "$test_file" >> "analyze/skipped-tests.tsv"
sed -n "s/^display-name\t/$test_name\t/p" < "$test_file" >> "analyze/query-display-names.tsv"
sed -n "s/^short\t/$test_name\t/p" < "$test_file" >> "analyze/marked-short-queries.tsv"
sed -n "s/^partial\t/$test_name\t/p" < "$test_file" >> "analyze/partial-queries.tsv"
done
# for each query run, prepare array of metrics from query log
clickhouse-local --query "
create view query_runs as select * from file('analyze/query-runs.tsv', TSV,
'test text, query_index int, query_id text, version UInt8, time float');
-- Separately process 'partial' queries which we could only run on the new server
-- because they use new functions. We can't make normal stats for them, but still
-- have to show some stats so that the PR author can tweak them.
create view partial_queries as select test, query_index
from file('analyze/partial-queries.tsv', TSV,
'test text, query_index int, servers Array(int)');
create table partial_query_times engine File(TSVWithNamesAndTypes,
'analyze/partial-query-times.tsv')
as select test, query_index, stddevPop(time) time_stddev, median(time) time_median
from query_runs
where (test, query_index) in partial_queries
group by test, query_index
;
-- Process queries that were run normally, on both servers.
create view left_query_log as select *
from file('left-query-log.tsv', TSVWithNamesAndTypes,
'$(cat "left-query-log.tsv.columns")');
create view right_query_log as select *
from file('right-query-log.tsv', TSVWithNamesAndTypes,
'$(cat "right-query-log.tsv.columns")');
create view query_logs as
select 0 version, query_id, ProfileEvents.Names, ProfileEvents.Values,
query_duration_ms, memory_usage from left_query_log
union all
select 1 version, query_id, ProfileEvents.Names, ProfileEvents.Values,
query_duration_ms, memory_usage from right_query_log
;
-- This is a single source of truth on all metrics we have for query runs. The
-- metrics include ProfileEvents from system.query_log, and query run times
-- reported by the perf.py test runner.
create table query_run_metric_arrays engine File(TSV, 'analyze/query-run-metric-arrays.tsv')
as
with (
-- sumMapState with the list of all keys with '-0.' values. Negative zero is because
-- sumMap removes keys with positive zeros.
with (select groupUniqArrayArray(ProfileEvents.Names) from query_logs) as all_names
select arrayReduce('sumMapState', [(all_names, arrayMap(x->-0., all_names))])
) as all_metrics
select test, query_index, version, query_id,
(finalizeAggregation(
arrayReduce('sumMapMergeState',
[
all_metrics,
arrayReduce('sumMapState',
[(ProfileEvents.Names,
arrayMap(x->toFloat64(x), ProfileEvents.Values))]
),
arrayReduce('sumMapState', [(
['client_time', 'server_time', 'memory_usage'],
arrayMap(x->if(x != 0., x, -0.), [
toFloat64(query_runs.time),
toFloat64(query_duration_ms / 1000.),
toFloat64(memory_usage)]))])
]
)) as metrics_tuple).1 metric_names,
metrics_tuple.2 metric_values
from query_logs
right join query_runs
on query_logs.query_id = query_runs.query_id
and query_logs.version = query_runs.version
where (test, query_index) not in partial_queries
;
-- This is just for convenience -- human-readable + easy to make plots.
create table query_run_metrics_denorm engine File(TSV, 'analyze/query-run-metrics-denorm.tsv')
as select test, query_index, metric_names, version, query_id, metric_values
from query_run_metric_arrays
array join metric_names, metric_values
order by test, query_index, metric_names, version, query_id
;
-- Filter out tests that don't have an even number of runs, to avoid breaking
-- the further calculations. This may happen if there was an error during the
-- test runs, e.g. the server died. It will be reported in test errors, so we
-- don't have to report it again.
create view broken_queries as
select test, query_index
from query_runs
group by test, query_index
having count(*) % 2 != 0
;
-- This is for statistical processing with eqmed.sql
create table query_run_metrics_for_stats engine File(
TSV, -- do not add header -- will parse with grep
'analyze/query-run-metrics-for-stats.tsv')
as select test, query_index, 0 run, version, metric_values
from query_run_metric_arrays
where (test, query_index) not in broken_queries
order by test, query_index, run, version
;
-- This is the list of metric names, so that we can join them back after
-- statistical processing.
create table query_run_metric_names engine File(TSV, 'analyze/query-run-metric-names.tsv')
as select metric_names from query_run_metric_arrays limit 1
;
" 2> >(tee -a analyze/errors.log 1>&2)
# This is a lateral join in bash... please forgive me.
# We don't have arrayPermute(), so I have to make random permutations with
# `order by rand`, and it becomes really slow if I do it for more than one
# query. We also don't have lateral joins. So I just put all runs of each
# query into a separate file, and then compute randomization distribution
# for each file. I do this in parallel using GNU parallel.
( set +x # do not bloat the log
IFS=$'\n'
for prefix in $(cut -f1,2 "analyze/query-run-metrics-for-stats.tsv" | sort | uniq)
do
file="analyze/tmp/${prefix// /_}.tsv"
grep "^$prefix " "analyze/query-run-metrics-for-stats.tsv" > "$file" &
printf "%s\0\n" \
"clickhouse-local \
--file \"$file\" \
--structure 'test text, query text, run int, version UInt8, metrics Array(float)' \
--query \"$(cat "$script_dir/eqmed.sql")\" \
>> \"analyze/query-metric-stats.tsv\"" \
2>> analyze/errors.log \
>> analyze/commands.txt
done
wait
unset IFS
)
parallel --joblog analyze/parallel-log.txt --null < analyze/commands.txt 2>> analyze/errors.log
clickhouse-local --query "
-- Join the metric names back to the metric statistics we've calculated, and make
-- a denormalized table of them -- statistics for all metrics for all queries.
-- The WITH, ARRAY JOIN and CROSS JOIN do not like each other:
-- https://github.com/ClickHouse/ClickHouse/issues/11868
-- https://github.com/ClickHouse/ClickHouse/issues/11757
-- Because of this, we make a view with arrays first, and then apply all the
-- array joins.
create view query_metric_stat_arrays as
with (select * from file('analyze/query-run-metric-names.tsv',
TSV, 'n Array(String)')) as metric_name
select test, query_index, metric_name, left, right, diff, stat_threshold
from file('analyze/query-metric-stats.tsv', TSV, 'left Array(float),
right Array(float), diff Array(float), stat_threshold Array(float),
test text, query_index int') reports
order by test, query_index, metric_name
;
create table query_metric_stats_denorm engine File(TSVWithNamesAndTypes,
'analyze/query-metric-stats-denorm.tsv')
as select test, query_index, metric_name, left, right, diff, stat_threshold
from query_metric_stat_arrays
left array join metric_name, left, right, diff, stat_threshold
order by test, query_index, metric_name
;
" 2> >(tee -a analyze/errors.log 1>&2)
}
# Analyze results
function report
{
rm -r report ||:
mkdir report report/tmp ||:
rm ./*.{rep,svg} test-times.tsv test-dump.tsv unstable.tsv unstable-query-ids.tsv unstable-query-metrics.tsv changed-perf.tsv unstable-tests.tsv unstable-queries.tsv bad-tests.tsv slow-on-client.tsv all-queries.tsv run-errors.tsv ||:
build_log_column_definitions
cat analyze/errors.log >> report/errors.log ||:
cat profile-errors.log >> report/errors.log ||:
short_query_threshold="0.02"
clickhouse-local --query "
create view query_display_names as select * from
file('analyze/query-display-names.tsv', TSV,
'test text, query_index int, query_display_name text')
;
create view partial_query_times as select * from
file('analyze/partial-query-times.tsv', TSVWithNamesAndTypes,
'test text, query_index int, time_stddev float, time_median float')
;
-- Report for partial queries that we could only run on the new server (e.g.
-- queries with new functions added in the tested PR).
create table partial_queries_report engine File(TSV, 'report/partial-queries-report.tsv')
as select toDecimal64(time_median, 3) time,
toDecimal64(time_stddev / time_median, 3) relative_time_stddev,
test, query_index, query_display_name
from partial_query_times
join query_display_names using (test, query_index)
order by test, query_index
;
create view query_metric_stats as
select * from file('analyze/query-metric-stats-denorm.tsv',
TSVWithNamesAndTypes,
'test text, query_index int, metric_name text, left float, right float,
diff float, stat_threshold float')
;
-- Main statistics for queries -- query time as reported in query log.
create table queries engine File(TSVWithNamesAndTypes, 'report/queries.tsv')
as select
-- Comparison mode doesn't make sense for queries that complete
-- immediately (on the same order of time as noise). If query duration is
-- less that some threshold, we just skip it. If there is a significant
-- regression in such query, the time will exceed the threshold, and we
-- well process it normally and detect the regression.
right < $short_query_threshold as short,
not short and abs(diff) > report_threshold and abs(diff) > stat_threshold as changed_fail,
not short and abs(diff) > report_threshold - 0.05 and abs(diff) > stat_threshold as changed_show,
not short and not changed_fail and stat_threshold > report_threshold + 0.10 as unstable_fail,
not short and not changed_show and stat_threshold > report_threshold - 0.05 as unstable_show,
left, right, diff, stat_threshold,
if(report_threshold > 0, report_threshold, 0.10) as report_threshold,
query_metric_stats.test test, query_metric_stats.query_index query_index,
query_display_name
from query_metric_stats
left join file('analyze/report-thresholds.tsv', TSV,
'test text, report_threshold float') thresholds
on query_metric_stats.test = thresholds.test
left join query_display_names
on query_metric_stats.test = query_display_names.test
and query_metric_stats.query_index = query_display_names.query_index
-- 'server_time' is rounded down to ms, which might be bad for very short queries.
-- Use 'client_time' instead.
where metric_name = 'client_time'
order by test, query_index, metric_name
;
create table changed_perf_report engine File(TSV, 'report/changed-perf.tsv') as
with
-- server_time is sometimes reported as zero (if it's less than 1 ms),
-- so we have to work around this to not get an error about conversion
-- of NaN to decimal.
(left > right ? left / right : right / left) as times_change_float,
isFinite(times_change_float) as times_change_finite,
toDecimal64(times_change_finite ? times_change_float : 1., 3) as times_change_decimal,
times_change_finite
? (left > right ? '-' : '+') || toString(times_change_decimal) || 'x'
: '--' as times_change_str
select
toDecimal64(left, 3), toDecimal64(right, 3), times_change_str,
toDecimal64(diff, 3), toDecimal64(stat_threshold, 3),
changed_fail, test, query_index, query_display_name
from queries where changed_show order by abs(diff) desc;
create table unstable_queries_report engine File(TSV, 'report/unstable-queries.tsv') as
select
toDecimal64(left, 3), toDecimal64(right, 3), toDecimal64(diff, 3),
toDecimal64(stat_threshold, 3), unstable_fail, test, query_index, query_display_name
from queries where unstable_show order by stat_threshold desc;
create view test_speedup as
select
test,
exp2(avg(log2(left / right))) times_speedup,
count(*) queries,
unstable + changed bad,
sum(changed_show) changed,
sum(unstable_show) unstable
from queries
group by test
order by times_speedup desc
;
create view total_speedup as
select
'Total' test,
exp2(avg(log2(times_speedup))) times_speedup,
sum(queries) queries,
unstable + changed bad,
sum(changed) changed,
sum(unstable) unstable
from test_speedup
;
create table test_perf_changes_report engine File(TSV, 'report/test-perf-changes.tsv') as
with
(times_speedup >= 1
? '-' || toString(toDecimal64(times_speedup, 3)) || 'x'
: '+' || toString(toDecimal64(1 / times_speedup, 3)) || 'x')
as times_speedup_str
select test, times_speedup_str, queries, bad, changed, unstable
-- Not sure what's the precedence of UNION ALL vs WHERE & ORDER BY, hence all
-- the braces.
from (
(
select * from total_speedup
) union all (
select * from test_speedup
where
(times_speedup >= 1 ? times_speedup : (1 / times_speedup)) >= 1.005
or bad
)
)
order by test = 'Total' desc, times_speedup desc
;
create view total_client_time_per_query as select *
from file('analyze/client-times.tsv', TSV,
'test text, query_index int, client float, server float');
create table slow_on_client_report engine File(TSV, 'report/slow-on-client.tsv') as
select client, server, toDecimal64(client/server, 3) p,
test, query_display_name
from total_client_time_per_query left join query_display_names using (test, query_index)
where p > toDecimal64(1.02, 3) order by p desc;
create table wall_clock_time_per_test engine Memory as select *
from file('wall-clock-times.tsv', TSV, 'test text, real float, user float, system float');
create table test_time engine Memory as
select test, sum(client) total_client_time,
maxIf(client, not short) query_max,
minIf(client, not short) query_min,
count(*) queries, sum(short) short_queries
from total_client_time_per_query full join queries using (test, query_index)
group by test;
create table test_times_report engine File(TSV, 'report/test-times.tsv') as
select wall_clock_time_per_test.test, real,
toDecimal64(total_client_time, 3),
queries,
short_queries,
toDecimal64(query_max, 3),
toDecimal64(real / queries, 3) avg_real_per_query,
toDecimal64(query_min, 3)
from test_time
-- wall clock times are also measured for skipped tests, so don't
-- do full join
left join wall_clock_time_per_test using test
order by avg_real_per_query desc;
-- report for all queries page, only main metric
create table all_tests_report engine File(TSV, 'report/all-queries.tsv') as
with
-- server_time is sometimes reported as zero (if it's less than 1 ms),
-- so we have to work around this to not get an error about conversion
-- of NaN to decimal.
(left > right ? left / right : right / left) as times_change_float,
isFinite(times_change_float) as times_change_finite,
toDecimal64(times_change_finite ? times_change_float : 1., 3) as times_change_decimal,
times_change_finite
? (left > right ? '-' : '+') || toString(times_change_decimal) || 'x'
: '--' as times_change_str
select changed_fail, unstable_fail,
toDecimal64(left, 3), toDecimal64(right, 3), times_change_str,
toDecimal64(isFinite(diff) ? diff : 0, 3),
toDecimal64(isFinite(stat_threshold) ? stat_threshold : 0, 3),
test, query_index, query_display_name
from queries order by test, query_index;
-- queries for which we will build flamegraphs (see below)
create table queries_for_flamegraph engine File(TSVWithNamesAndTypes,
'report/queries-for-flamegraph.tsv') as
select test, query_index from queries where unstable_show or changed_show
;
-- List of queries that have 'short' duration, but are not marked as 'short' by
-- the test author (we report them).
create table unmarked_short_queries_report
engine File(TSV, 'report/unmarked-short-queries.tsv')
as select time, test, query_index, query_display_name
from (
select right time, test, query_index from queries where short
union all
select time_median, test, query_index from partial_query_times
where time_median < $short_query_threshold
) times
left join query_display_names
on times.test = query_display_names.test
and times.query_index = query_display_names.query_index
where (test, query_index) not in
(select * from file('analyze/marked-short-queries.tsv', TSV,
'test text, query_index int'))
order by test, query_index
;
--------------------------------------------------------------------------------
-- various compatibility data formats follow, not related to the main report
-- keep the table in old format so that we can analyze new and old data together
create table queries_old_format engine File(TSVWithNamesAndTypes, 'queries.rep')
as select short, changed_fail, unstable_fail, left, right, diff,
stat_threshold, test, query_display_name query
from queries
;
-- new report for all queries with all metrics (no page yet)
create table all_query_metrics_tsv engine File(TSV, 'report/all-query-metrics.tsv') as
select metric_name, left, right, diff,
floor(left > right ? left / right : right / left, 3),
stat_threshold, test, query_index, query_display_name
from query_metric_stats
left join query_display_names
on query_metric_stats.test = query_display_names.test
and query_metric_stats.query_index = query_display_names.query_index
order by test, query_index;
" 2> >(tee -a report/errors.log 1>&2)
# Prepare source data for metrics and flamegraphs for unstable queries.
for version in {right,left}
do
rm -rf data
clickhouse-local --query "
create view queries_for_flamegraph as
select * from file('report/queries-for-flamegraph.tsv', TSVWithNamesAndTypes,
'test text, query_index int');
create view query_runs as
with 0 as left, 1 as right
select * from file('analyze/query-runs.tsv', TSV,
'test text, query_index int, query_id text, version UInt8, time float')
where version = $version
;
create view query_display_names as select * from
file('analyze/query-display-names.tsv', TSV,
'test text, query_index int, query_display_name text')
;
create table unstable_query_runs engine File(TSVWithNamesAndTypes,
'unstable-query-runs.$version.rep') as
select query_runs.test test, query_runs.query_index query_index,
query_display_name, query_id
from query_runs
join queries_for_flamegraph on
query_runs.test = queries_for_flamegraph.test
and query_runs.query_index = queries_for_flamegraph.query_index
left join query_display_names on
query_runs.test = query_display_names.test
and query_runs.query_index = query_display_names.query_index
;
create view query_log as select *
from file('$version-query-log.tsv', TSVWithNamesAndTypes,
'$(cat "$version-query-log.tsv.columns")');
create table unstable_run_metrics engine File(TSVWithNamesAndTypes,
'unstable-run-metrics.$version.rep') as
select
test, query_index, query_id,
ProfileEvents.Values value, ProfileEvents.Names metric
from query_log array join ProfileEvents
join unstable_query_runs using (query_id)
;
create table unstable_run_metrics_2 engine File(TSVWithNamesAndTypes,
'unstable-run-metrics-2.$version.rep') as
select
test, query_index, query_id,
v, n
from (
select
test, query_index, query_id,
['memory_usage', 'read_bytes', 'written_bytes', 'query_duration_ms'] n,
[memory_usage, read_bytes, written_bytes, query_duration_ms] v
from query_log
join unstable_query_runs using (query_id)
)
array join v, n;
create view trace_log as select *
from file('$version-trace-log.tsv', TSVWithNamesAndTypes,
'$(cat "$version-trace-log.tsv.columns")');
create view addresses_src as select addr,
-- Some functions change name between builds, e.g. '__clone' or 'clone' or
-- even '__GI__clone@@GLIBC_2.32'. This breaks differential flame graphs, so
-- filter them out here.
[name, 'clone.S (filtered by script)', 'pthread_cond_timedwait (filtered by script)']
-- this line is a subscript operator of the above array
[1 + multiSearchFirstIndex(name, ['clone.S', 'pthread_cond_timedwait'])] name
from file('$version-addresses.tsv', TSVWithNamesAndTypes,
'$(cat "$version-addresses.tsv.columns")');
create table addresses_join_$version engine Join(any, left, address) as
select addr address, name from addresses_src;
create table unstable_run_traces engine File(TSVWithNamesAndTypes,
'unstable-run-traces.$version.rep') as
select
test, query_index, query_id,
count() value,
joinGet(addresses_join_$version, 'name', arrayJoin(trace))
|| '(' || toString(trace_type) || ')' metric
from trace_log
join unstable_query_runs using query_id
group by test, query_index, query_id, metric
order by count() desc
;
create table metric_devation engine File(TSVWithNamesAndTypes,
'report/metric-deviation.$version.tsv') as
-- first goes the key used to split the file with grep
select test, query_index, query_display_name,
toDecimal64(d, 3) d, q, metric
from (
select
test, query_index,
(q[3] - q[1])/q[2] d,
quantilesExact(0, 0.5, 1)(value) q, metric
from (select * from unstable_run_metrics
union all select * from unstable_run_traces
union all select * from unstable_run_metrics_2) mm
group by test, query_index, metric
having isFinite(d) and d > 0.5 and q[3] > 5
) metrics
left join query_display_names using (test, query_index)
order by test, query_index, d desc
;
create table stacks engine File(TSV, 'report/stacks.$version.tsv') as
select
-- first goes the key used to split the file with grep
test, query_index, trace_type, any(query_display_name),
-- next go the stacks in flamegraph format: 'func1;...;funcN count'
arrayStringConcat(
arrayMap(
addr -> joinGet(addresses_join_$version, 'name', addr),
arrayReverse(trace)
),
';'
) readable_trace,
count() c
from trace_log
join unstable_query_runs using query_id
group by test, query_index, trace_type, trace
order by test, query_index, trace_type, trace
;
" 2> >(tee -a report/errors.log 1>&2) &
done
wait
# Create per-query flamegraphs
IFS=$'\n'
for version in {right,left}
do
for query in $(cut -d' ' -f1-4 "report/stacks.$version.tsv" | sort | uniq)
do
query_file=$(echo "$query" | cut -c-120 | sed 's/[/ ]/_/g')
echo "$query_file" >> report/query-files.txt
# Build separate .svg flamegraph for each query.
# -F is somewhat unsafe because it might match not the beginning of the
# string, but this is unlikely and escaping the query for grep is a pain.
grep -F "$query " "report/stacks.$version.tsv" \
| cut -f 5- \
| sed 's/\t/ /g' \
| tee "report/tmp/$query_file.stacks.$version.tsv" \
| ~/fg/flamegraph.pl --hash > "$query_file.$version.svg" &
done
done
wait
unset IFS
# Create differential flamegraphs.
while IFS= read -r query_file
do
~/fg/difffolded.pl "report/tmp/$query_file.stacks.left.tsv" \
"report/tmp/$query_file.stacks.right.tsv" \
| tee "report/tmp/$query_file.stacks.diff.tsv" \
| ~/fg/flamegraph.pl > "$query_file.diff.svg" &
done < report/query-files.txt
wait
# Create per-query files with metrics. Note that the key is different from flamegraphs.
IFS=$'\n'
for version in {right,left}
do
for query in $(cut -d' ' -f1-3 "report/metric-deviation.$version.tsv" | sort | uniq)
do
query_file=$(echo "$query" | cut -c-120 | sed 's/[/ ]/_/g')
# Ditto the above comment about -F.
grep -F "$query " "report/metric-deviation.$version.tsv" \
| cut -f4- > "$query_file.$version.metrics.rep" &
done
done
wait
unset IFS
# Prefer to grep for clickhouse_driver exception messages, but if there are none,
# just show a couple of lines from the log.
for log in *-err.log
do
test=$(basename "$log" "-err.log")
{
# The second grep is a heuristic for error messages like
# "socket.timeout: timed out".
grep -h -m2 -i '\(Exception\|Error\):[^:]' "$log" \
|| grep -h -m2 -i '^[^ ]\+: ' "$log" \
|| head -2 "$log"
} | sed "s/^/$test\t/" >> run-errors.tsv ||:
done
}
function report_metrics
{
build_log_column_definitions
rm -rf metrics ||:
mkdir metrics
clickhouse-local --query "
create view right_async_metric_log as
select * from file('right-async-metric-log.tsv', TSVWithNamesAndTypes,
'$(cat right-async-metric-log.tsv.columns)')
;
-- Use the right log as time reference because it may have higher precision.
create table metrics engine File(TSV, 'metrics/metrics.tsv') as
with (select min(event_time) from right_async_metric_log) as min_time
select name metric, r.event_time - min_time event_time, l.value as left, r.value as right
from right_async_metric_log r
asof join file('left-async-metric-log.tsv', TSVWithNamesAndTypes,
'$(cat left-async-metric-log.tsv.columns)') l
on l.name = r.name and r.event_time <= l.event_time
order by metric, event_time
;
-- Show metrics that have changed
create table changes engine File(TSV, 'metrics/changes.tsv') as
select metric, left, right,
toDecimal64(diff, 3), toDecimal64(times_diff, 3)
from (
select metric, median(left) as left, median(right) as right,
(right - left) / left diff,
if(left > right, left / right, right / left) times_diff
from metrics
group by metric
having abs(diff) > 0.05 and isFinite(diff)
)
order by diff desc
;
" 2> >(tee -a metrics/errors.log 1>&2)
IFS=$'\n'
for prefix in $(cut -f1 "metrics/metrics.tsv" | sort | uniq)
do
file="metrics/$prefix.tsv"
grep "^$prefix " "metrics/metrics.tsv" | cut -f2- > "$file"
gnuplot -e "
set datafile separator '\t';
set terminal png size 960,540;
set xtics time format '%tH:%tM';
set title '$prefix' noenhanced offset 0,-3;
set key left top;
plot
'$file' using 1:2 with lines title 'Left'
, '$file' using 1:3 with lines title 'Right'
;
" \
| convert - -filter point -resize "200%" "metrics/$prefix.png" &
done
wait
unset IFS
}
# Check that local and client are in PATH
clickhouse-local --version > /dev/null
clickhouse-client --version > /dev/null
case "$stage" in
"")
;&
"configure")
time configure
;&
"restart")
numactl --hardware ||:
lscpu ||:
time restart
;&
"run_tests")
# Ignore the errors to collect the log and build at least some report, anyway
time run_tests ||:
;&
"run_benchmark")
time run_benchmark 2> >(tee -a run-errors.tsv 1>&2) ||:
;&
"get_profiles")
# Check for huge pages.
cat /sys/kernel/mm/transparent_hugepage/enabled > thp-enabled.txt ||:
cat /proc/meminfo > meminfo.txt ||:
for pid in $(pgrep -f clickhouse-server)
do
cat "/proc/$pid/smaps" > "$pid-smaps.txt" ||:
done
# We had a bug where getting profiles froze sometimes, so try to save some
# logs if this happens again. Give the servers some time to collect all info,
# then trace and kill. Start in a subshell, so that both function don't
# interfere with each other's jobs through `wait`. Also make the subshell
# have its own process group, so that we can then kill it with all its child
# processes. Somehow it doesn't kill the children by itself when dying.
set -m
( get_profiles_watchdog ) &
watchdog_pid=$!
set +m
# Check that the watchdog started OK.
kill -0 $watchdog_pid
# If the tests fail with OOM or something, still try to restart the servers
# to collect the logs. Prefer not to restart, because addresses might change
# and we won't be able to process trace_log data. Start in a subshell, so that
# it doesn't interfere with the watchdog through `wait`.
( get_profiles || restart && get_profiles ) ||:
# Kill the whole process group, because somehow when the subshell is killed,
# the sleep inside remains alive and orphaned.
while env kill -- -$watchdog_pid ; do sleep 1; done
# Stop the servers to free memory for the subsequent query analysis.
while killall clickhouse; do echo . ; sleep 1 ; done
echo Servers stopped.
;&
"analyze_queries")
time analyze_queries ||:
;&
"report")
time report ||:
;&
"report_metrics")
time report_metrics ||:
cat metrics/errors.log >> report/errors.log ||:
;&
"report_html")
time "$script_dir/report.py" --report=all-queries > all-queries.html 2> >(tee -a report/errors.log 1>&2) ||:
time "$script_dir/report.py" > report.html
;&
esac
# Print some final debug info to help debug Weirdness, of which there is plenty.
jobs
pstree -apgT
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