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add a test for log stats
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-- Tags: no-parallel
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-- no-parallel because we want to run this test when most of the other tests already passed
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-- If this test fails, see the "Top patterns of log messages" diagnostics in the end of run.log
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drop table if exists logs;
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create view logs as select * from system.text_log where now() - toIntervalMinute(120) < event_time;
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system flush logs;
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-- Check that we don't have too many messages formatted with fmt::runtime or strings concatenation.
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-- 0.001 threshold should be always enough, the value was about 0.00025
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select 10, (sum(length(message_format_string) = 0) / count()) < 0.001 from logs;
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-- Check the same for exceptions. The value was 0.03
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select 20, (sum(length(message_format_string) = 0) / count()) < 0.05 from logs where message like '%DB::Exception%';
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-- Check that we don't have too many short meaningless message patterns.
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select 30, countDistinct(message_format_string) < 10 from logs where length(message_format_string) < 10;
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-- Same as above. Feel free to update the threshold or remove this query if really necessary
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select 40, countDistinct(message_format_string) < 35 from logs where length(message_format_string) < 16;
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-- Same as above, but exceptions must be more informative. Feel free to update the threshold or remove this query if really necessary
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select 50, countDistinct(message_format_string) < 90 from logs where length(message_format_string) < 30 and message ilike '%DB::Exception%';
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-- Avoid too noisy messages: top 1 message frequency must be less than 30%. We should reduce the threshold
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select 60, (select count() from logs group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.30;
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-- Same as above, but excluding Test level (actually finds top 1 Trace message)
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select 70, (select count() from logs where level!='Test' group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.16;
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-- Same as above for Debug
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select 80, (select count() from logs where level <= 'Debug' group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.08;
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-- Same as above for Info
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select 90, (select count() from logs where level <= 'Information' group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.04;
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-- Same as above for Warning
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select 100, (select count() from logs where level = 'Warning' group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.0001;
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-- Same as above for Error (it's funny that we have 100 time less warnings than errors)
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select 110, (select count() from logs where level = 'Warning' group by message_format_string order by count() desc limit 1) / (select count() from logs) < 0.001;
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-- Avoid too noisy messages: limit the number of messages with high frequency
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select 120, count() < 3 from (select count() / (select count() from logs) as freq, message_format_string from logs group by message_format_string having freq > 0.10);
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select 130, count() < 10 from (select count() / (select count() from logs) as freq, message_format_string from logs group by message_format_string having freq > 0.05);
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drop table logs;
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