Percona-Tookit工具包之pt-query-digest
Usage: pt-query-digest [OPTIONS] [FILES] [DSN]
Parameters introduce
--limit -- Limit the output conents by count(defualt ) or percentage(default %).
--type -- Indicate a type(default "slowlog",else value is "genlog","binlog","tcpdump",etc.) you want to anaylze.
--processlist -- Analyze from "show processlist" result from specific host(need to input DSN).
--create-history-table -- Create a table to record infomation if use "--history"(default "true").
--create-review-table -- Create a table to record infomation if use "--review"(default "true").
--history -- Save query metrics(such as query time) into a given table which can be checked incremental difference later.
--review -- Save query classes into a given table for later review.It don't report same kind of class.
--output -- Specify the format of query result(default "report").
--since -- Give a specific time with time format of beginning.
--until -- Give a specific time with time format of end.
--group-by -- According to the atrribute of envents to group by(default "figerprint",else value is "tables"&"distill").
--order-by -- According to the atrribute of envents to sort by(default "Query_time:sum").
(root@localhost mysql3306.sock)[(none)]::>show variables like '%slow%';
+---------------------------+----------+
| Variable_name | Value |
+---------------------------+----------+
| log_slow_admin_statements | OFF |
| log_slow_slave_statements | ON |
| slow_launch_time | |
| slow_query_log | ON |
| slow_query_log_file | slow.log |
+---------------------------+----------+
rows in set (0.00 sec) (root@localhost mysql3306.sock)[(none)]::>show variables like '%long_query_time%';
+-----------------+----------+
| Variable_name | Value |
+-----------------+----------+
| long_query_time | 1.000000 |
+-----------------+----------+
row in set (0.00 sec) (root@localhost mysql3306.sock)[(none)]::>show variables like '%log_output%';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| log_output | FILE |
+---------------+-------+
row in set (0.00 sec)
Execute a slow query.
(root@localhost mysql3306.sock)[(none)]::>select sleep();
+-----------+
| sleep() |
+-----------+
| |
+-----------+
row in set ( min 0.01 sec)
Check slow log for information of above slow query.
[root@zlm2 :: /data/mysql/mysql3306/data]
#cat slow.log # Time: --23T07::.891778Z
# User@Host: root[root] @ localhost [] Id:
# Query_time: 60.001239 Lock_time: 0.000000 Rows_sent: Rows_examined:
SET timestamp=;
select sleep();
Use pt-query-digest analyze slow log file for more details.
[root@zlm2 :: ~]
#pt-query-digest /data/mysql/mysql3306/data/slow.log # No events processed. -- Only if the slow query has finished,there will be a result of report. [root@zlm2 :: ~]
#pt-query-digest /data/mysql/mysql3306/data/slow.log # 180ms user time, system time, 25.59M rss, 221.68M vsz
# Current date: Sat Jun ::
# Hostname: zlm2
# Files: /data/mysql/mysql3306/data/slow.log
# Overall: total, unique, QPS, 0x concurrency ______________________
# Time range: all events occurred at --23T07::
# Attribute total min max avg % stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 60s 60s 60s 60s 60s 60s
# Lock time
# Rows sent
# Rows examine
# Query size # Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============== ===== ======= ===== ======
# 0xF9A57DD5A41825CA 60.0012 100.0% 60.0012 0.00 SELECT # Query : QPS, 0x concurrency, ID 0xF9A57DD5A41825CA at byte ________
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: all events occurred at --23T07::
# Attribute pct total min max avg % stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count
# Exec time 60s 60s 60s 60s 60s 60s
# Lock time
# Rows sent
# Rows examine
# Query size
# String:
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s
# 10s+ ################################################################
# EXPLAIN /*!50100 PARTITIONS*/
select sleep()\G ###All the meaning of above is self-explanatory,you can check official document for details.###
pt-query-digest --type=genlog /path/zlm2.log > report1.log
2.Analyze binlog.
mysqlbinlog -vv --base64-output=decode-rows /path/mysql-bin. > mysql-bin000010.sql
pt-query-digest --type=binlog /path/mysql-bin000001.sql > report2.log
3.Analyze rawlog(It's a general txt file which contains SQL statement).
echo "select sleep(10);">rawlog.log pt-query-digest --type=rawlog rawlog.log > report3.log
4.Analyze processlist(DSN is indispensable).
pt-query-digest --processlist h=192.168.1.101,P=,u=repl,p=repl4slave > report4.log -- If connection failed,it will try every second.
5.Analyze tcpdump.
tcpdump -s -x -nn -q -tttt -i any -c port > tcpdump.log
pt-query-digest --type=tcpdump tcpdump.log > report5.log
6.Analyze slow log since last 24 hours.
pt-query-digest --since=24h slow.log > report6.log
7.Analyze slow log since time until time.
pt-query-digest --since '2018-06-23 08:30:00' --until '2018-06-23 10:30:00' slow.log > report7.log
8.Analyze slow log into view table("query_review" table will be created if not specify "-t") of remote host.
pt-query-digest --review h=192.168.1.102,P=,u=repl,p=repl4slave,D=zlm,t=query_review slow.log > report8.log
9.Analyze slow log into history table("query_history" table will be created like above) of remote host.
pt-query-digest --review h=192.168.1.102,P=,u=repl,p=repl4slave,D=zlm,t=query_history slow.log > report9.log
- There're still some advanced useages I've not demonstrated such as "--group-by","--order-by" and "--filter",etc.
- pt-query-digest is extraordinarily useful when doing performance diagnosis by different ways.
- It's recommended to analyze logs on another node(maybe slave) instead of master to reduce consumption of CPU,Memory,IO,etc.
- pt-query-digest can help you to find out the specific slow quries.Afterwards you can use MySQL profiling("set profiling=1;" then "show profiles;") to survey the perticular resources which are tremendously consumed.
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