mysql慢查询日志分析工具（python写的）

D:\NormalSoftware>python mysql_filter_slow_log.py ./mysql1-slow.log --no-duplic
ates --sort-avg-query-time --top=100 >> mysql_slow_test05.txt

469行要改为：

query_time = (float(numbers[1].split()[0]), float(numbers[2].split()[0]),
float(numbers[3].split()[0]), float(numbers[4]))

150 151行注释掉：

#locale.setlocale(locale.LC_NUMERIC,
# os.name == 'nt' and 'en' or 'en_US.ISO8859-1')

mysql_filter_slow_log.py

使用方法：（这里只介绍python的使用方法）

python mysql_filter_slow_log.py  ./mysql1-slow.log --no-duplicates --sort-execution-count --top=10  >> mysql_slow_test.txt

备注：mysql1-slow.log  慢查询日志名称

 --no-duplicates

 --sort-execution-count

 --top=10  取前十位

 mysql_slow_test.txt  输出分析报告

附录：

官方给出的使用方法举例：

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# Filter slow queries executed for at least 3 seconds not from root, remove duplicates, # apply execution count as first sorting value and save first 10 unique queries to file. # In addition, remember last input file position and statistics. php mysql_filter_slow_log.php -T=3 -eu=root --no-duplicates --sort-execution-count --top=10 --incremental linux-slow.log > mysql-slow-queries.log # Start permanent filtering of all slow queries from now on: at least 3 seconds or examining 10000 rows, exclude users root and test tail -f -n 0 linux-slow.log | python mysql_filter_slow_log.py -T=3 -R=10000 -eu=root -eu=test & # (-n 0 outputs only lines generated after start of tail) # Stop permanent filtering kill `ps auxww | grep 'tail -f -n 0 linux-slow.log' | egrep -v grep | awk '{print $2}'`

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官方给出的命令参数：

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-T=min_query_time -R=min_rows_examined -ih, --include-host -eh, --exclude-host -iu, --include-user -eu, --exclude-user -iq, --include-query --date=date_first-date_last Include only queries between date_first (and date_last).                             Input:                    Date Range:                             13.11.2006             -> 13.11.2006 - 14.11.2006 (exclusive)                             13.11.2006-15.11.2006  -> 13.11.2006 - 16.11.2006 (exclusive)                             15-11-2006-11/13/2006  -> 13.11.2006 - 16.11.2006 (exclusive)                             >13.11.2006            -> 14.11.2006 - later                             13.11.2006-            -> 13.11.2006 - later                             <13.11.2006            -> earlier    - 13.11.2006 (exclusive)                             -13.11.2006            -> earlier    - 14.11.2006 (exclusive)                             Please do not forget to escape the greater or lesser than symbols (><, i.e. '--date=>13.11.2006').                             Short dates are supported if you include a trailing separator (i.e. 13.11.-11/15/). --incremental Remember input file positions and optionally --no-duplicates statistics between executions in mysql_filter_slow_log.sqlite3 --no-duplicates Powerful option to output only unique query strings with additional statistics:                 Execution count, first and last timestamp.                 Query time: avg / max / sum.                 Lock time: avg / max / sum.                 Rows examined: avg / max / sum.                 Rows sent: avg / max / sum. --no-output Do not print statistics, just update database with incremental statistics Default ordering of unique queries: --sort-sum-query-time    [ 1. position] --sort-avg-query-time    [ 2. position] --sort-max-query-time    [ 3. position] --sort-sum-lock-time     [ 4. position] --sort-avg-lock-time     [ 5. position] --sort-max-lock-time     [ 6. position] --sort-sum-rows-examined [ 7. position] --sort-avg-rows-examined [ 8. position] --sort-max-rows-examined [ 9. position] --sort-execution-count   [10. position] --sort-sum-rows-sent     [11. position] --sort-avg-rows-sent     [12. position] --sort-max-rows-sent     [13. position] --sort=sum-query-time,avg-query-time,max-query-time,...   You can include multiple sorting values separated by commas. --sort=sqt,aqt,mqt,slt,alt,mlt,sre,are,mre,ec,srs,ars,mrs Every long sorting option has an equivalent short form (first character of each word). --top=max_unique_query_count Output maximal max_unique_query_count different unique queries --details                    Enables output of timestamp based unique query time lines after user list                              (i.e. # Query_time: 81  Lock_time: 0  Rows_sent: 884  Rows_examined: 2448350). --help Output this message only and quit [multiple] options can be passed more than once to set multiple values. [position] options take the position of their first occurrence into account.            The first passed option will replace the default first sorting, ...            Remaining default ordering options will keep their relative positions.

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官方给出的配置文件中管理慢日志参数的配置

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# I.e. you could add the following lines under the [mysqld] section of your my.ini or my.cnf configuration file: # Log all queries taking more than 3 seconds long_query_time=3  # minimum: 1, default: 10 # MySQL >= 5.1.21 (or patched): 3 seconds = 3000000 microseconds # long_query_time=3.000000  # minimum: 0.000001 (1 microsecond) # Activate the Slow Query Log slow_query_log  # >= 5.1.29 # log-slow-queries  # deprecated since 5.1.29 # Write to a custom file name (>= 5.1.29) # slow_query_log_file=file_name  # default: /data_dir/host_name-slow.log # Log all queries without indexes # log-queries-not-using-indexes # Log only queries which examine at least N rows (>= 5.1.21) # min_examined_row_limit=1000  # default: 0 # Log slow OPTIMIZE TABLE, ANALYZE TABLE, and ALTER TABLE statements # log-slow-admin-statements # Log slow queries executed by replication slaves (>= 5.1.21) # log-slow-slave-statements # MySQL 5.1.6 through 5.1.20 had a default value of log-output=TABLE, so you should force # Attention: logging to TABLE only includes whole seconds information log-output=FILE ## Admin query for online activation is possible since MySQL 5.1 (without server restart) ## SET @@global.slow_query_log=1 ## SET @@global.long_query_time=1 ## Show current variables related to the Slow Query Log ## SHOW GLOBAL VARIABLES WHERE Variable_name REGEXP 'admin|min_examined|log_output|log_queries|log_slave|long|slow_quer'

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注意：在执行脚本的时候会报数据类型的错误，具体错误指定469行，经过查看，实际慢查询日志中的query_time是float类型，而在这个脚本工具中定义的确实int类型。于是自行修改！

默认：

======================

query_time = (int(numbers[1].split()[0]), int(numbers[2].split()[0]),

              int(numbers[3].split()[0]), int(numbers[4]))

======================

修改为：

======================

query_time = (float(numbers[1].split()[0]), float(numbers[2].split()[0]),

              float(numbers[3].split()[0]), float(numbers[4]))