The MySQL slow query log is a difficult format to extract information from. After looking at various examples with mixed results, I realized that it's much easier to configure MySQL to write the slow query log to a table in CSV format!
From the MySQL documentation:
By default, the log tables use the CSV storage engine that writes data in comma-separated values format. For users who have access to the .CSV files that contain log table data, the files are easy to import into other programs such as spreadsheets that can process CSV input.
Note: don't forget to open up permissions on your slow query log CSV file so logstash can read it!
# enable slow query log
slow_query_log = 1
# configure log output to CSV table
log_output = table
# optionally tweak slow query log behavior
#log_queries_not_using_indexes = 1
#long_query_time = 10
#min_examined_row_limit = 100
Example logstash configuration:
input {
file {
# slow query table is located at:
# <mysql datadir>/mysql/slow_log.CSV
path => "/var/lib/mysql/mysql/slow_log.CSV"
type => "mysql_slow_query"
start_position => "beginning"
}
}
filter {
# mysql escapes double quotes with backslashes, but
# ruby expects pairs of double quotes
mutate { gsub => [ "message", '\\"', '""' ] }
csv {
columns => [ "start_time", "user_host", "query_time", "lock_time",
"rows_sent", "rows_examined", "db", "last_insert_id",
"insert_id", "server_id", "sql_text" ]
}
# convert various fields to integer
mutate { convert => [ "rows_sent", "integer" ] }
mutate { convert => [ "rows_examined", "integer" ] }
mutate { convert => [ "last_insert_id", "integer" ] }
mutate { convert => [ "insert_id", "integer" ] }
mutate { convert => [ "server_id", "integer" ] }
# convert start_time to @timestamp
date {
match => [ "start_time", "YYYY-MM-DD HH:mm:ss" ]
remove_field => [ "start_time" ]
}
# normalize query_time from HH::mm::ss to seconds
ruby { code => "event['query_time'] = event['query_time'] ? event['query_time'].split(':').inject(0){|a, m| a = a * 60 + m.to_i} : 0" }
# normalize lock_time from HH:mm:ss to seconds
ruby { code => "event['lock_time'] = event['lock_time'] ? event['lock_time'].split(':').inject(0){|a, m| a = a * 60 + m.to_i} : 0" }
# remove original message
mutate { remove_field => [ "message" ] }
}
output {
stdout { codec => rubydebug }
}
The logstash filter was adapted from the slow_log table definition:
| slow_log | CREATE TABLE `slow_log` (
`start_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`user_host` mediumtext NOT NULL,
`query_time` time NOT NULL,
`lock_time` time NOT NULL,
`rows_sent` int(11) NOT NULL,
`rows_examined` int(11) NOT NULL,
`db` varchar(512) NOT NULL,
`last_insert_id` int(11) NOT NULL,
`insert_id` int(11) NOT NULL,
`server_id` int(10) unsigned NOT NULL,
`sql_text` mediumtext NOT NULL
) ENGINE=CSV DEFAULT CHARSET=utf8 COMMENT='Slow log' |
{
"@version" => "1",
"@timestamp" => "2015-01-07T18:20:02.000Z",
"type" => "mysql_slow_query",
"host" => "hera",
"path" => "/var/lib/mysql/mysql/slow_log.CSV",
"user_host" => "root[root] @ localhost []",
"query_time" => 0,
"lock_time" => 0,
"rows_sent" => 0,
"rows_examined" => 21,
"db" => "foo",
"last_insert_id" => 0,
"insert_id" => 0,
"server_id" => 0,
"sql_text" => "select * from person where name like \"foo%\""
}
Thanks for sharing!