1.mysql-log-filter工具脚本使用说明：google code上找到的一个分析工具.提供了 python 和 php 两种可执行的脚本。code.google/p/mysql-log-filter/ (需要搬梯子爬墙)，51cto下载链接：down.51cto/data/2123725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：=====================================
# 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 testtail -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 filteringkill `ps auxww | grep 'tail -f -n 0 linux-slow.log' | egrep -v grep | awk '{print $2}'`====================================官方给出的命令参数：==================================
-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 statisticsDefault 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.
====================================官方给出的配置文件中管理慢日志参数的配置====================================
# 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 secondslong_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 Logslow_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 informationlog-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'
======================================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]))
