pt-query-digest分析mysql查詢日誌
[root@hank-yoon log]# pt-query-digest slowq.log
# 200ms user time, 10ms system time, 24.39M rss, 205.12M
vsz
# Current date: Thu Dec 17 15:32:04 2015
# Hostname: hank-yoon.com
# Files: slowq.log
# Overall: 8 total, 2 unique, 0.00 QPS, 0.00x concurrency
________________
# Time range: 2015-12-17 05:00:09 to 15:30:01
# Attribute
total
min
max avg
95% stddev
median
# ============ =======
======= ======= ======= ======= ======= =======
# Exec time
15s
1s
7s
2s
7s
2s
1s
# Lock time
1ms 85us
251us 175us
247us 49us
194us
# Rows sent
213.24k
4 213.21k
26.65k 211.82k 70.05k
3.89
# Rows examine
2.40M 213.21k 320.55k 306.93k 312.96k
33.45k 312.96k
# Rows affecte
0
0
0
0
0
0
0
# Bytes sent
19.42M
1.44k 19.41M 2.43M
19.33M 6.39M
1.39k
# Query size
6.46k
768 836
827.50 833.10
25.62 833.10
1、Overall: 8 total 總共查詢8條
2、2 unique:
唯一查詢數量,對查詢條件過濾後,總共有多少個不同的查詢,一共有2個
3、Time range: 2015-12-17 05:00:09 to 15:30:01
時間範圍,從幾點開始到幾點的查詢
4、total:總計 min:最小
max:最大 avg:平均
95%:將所有值從小到大排列,位於95%的那個數
stddev:標準偏差
median:中位數,位置位於中間那個數
5、Exec time:執行時間
6、Lock time:鎖時間
7、Rows sent:最後返回給客戶端的行數,查詢大小
8、Rows affecte:發送改變的行數
9、Rows examine:執行器需要檢查的行數大小
10、Query size:查詢語句的字符數
# Profile
# Rank Query ID
Response
time Calls R/Call V/M Item
# ==== ================== ============= ===== ====== =====
===============
# 1 0x50EF20421A671146
7.4117 50.7%
7 1.0588 0.00 SELECT erp_order
erp_order_option wms_order_sync jx_region
# 2 0x9B9DD48242D6C02D
7.2176 49.3%
1 7.2176 0.00 SELECT
jx_erp_goods_ware
1、Rank:整個分析中語句排名,性能最差的
2、Response time:語句響應時間及整體佔比情況
3、Calls:執行次數
4、R/Call:每次執行的平均響應時間
5、V/M:響應時間的差異平均對比率
# Query 1: 0.00 QPS,
--QPS:每秒查詢數
0.00x concurrency,
--concurrency:該查詢的近似併發值
ID 0x50EF20421A671146
--16進制查詢的指紋,去掉了多餘的空格和文本字符,轉換成小寫,使用--filter可以進行過濾
at byte 5592
--查詢語句在日誌文件中的偏移量,不一定精確,根據偏移量在日誌文件中查詢tail -c +5592
slowq.log |head
# This item is included in the report because it matches
--limit.
# Scores: V/M = 0.00
# Time range: 2015-12-17 05:24:01 to 15:30:01
# Attribute pct
total min
max
avg 95%
stddev median
--PCT:指的是執行語句佔概要報告中的百分比,佔有87%,一共執行了7次
# ============ === ======= ======= ======= ======= =======
======= =======
# Count
87
7
# Exec time 50
7s
1s
1s
1s
1s
35ms
1s
# Lock time 93
1ms 142us
251us 188us
247us 38us
185us
# Rows sent
0
28
4
4
4
4
0
4
# Rows examine 91 2.19M
320.15k 320.55k 320.32k 312.96k
0 312.96k
# Rows affecte 0
0
0
0
0
0
0
0
# Bytes sent 0
10.10k 1.44k
1.44k 1.44k
1.44k
0 1.44k
# Query size 88
5.71k 836
836
836 836
0
836
# String:
# Databases yoon
--數據庫名
# Hosts
# Last errno 0
# Users
zhu_yoon
--執行語句用戶
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s
################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM
`yoon` LIKE 'erp_order'\G
# SHOW CREATE TABLE
`yoon`.`erp_order`\G
# SHOW TABLE STATUS FROM
`yoon` LIKE 'erp_order_option'\G
# SHOW CREATE TABLE
`yoon`.`erp_order_option`\G
# SHOW TABLE STATUS FROM
`yoon` LIKE 'wms_order_sync'\G
# SHOW CREATE TABLE
`yoon`.`wms_order_sync`\G
# SHOW TABLE STATUS FROM
`yoon` LIKE 'jx_region'\G
# SHOW CREATE TABLE
`yoon`.`jx_region`\G
# EXPLAIN
SELECT eo.pay_status,(CASE WHEN eo.order_amount >0 THEN
(eo.order_amount- eo.platform_discount) ELSE eo.order_amount END)
codValue,eo.invoice_no,eo.consignee realName,eo.tel
phone,eo.mobile,eo.zipcode postCode,eoo.auto_weight
totalWeight,eoo.packages totalNumber,
jrp.region_name province,jrc.region_name
city,IFNULL(jrd.region_name,eo.district_name)
county,eo.address address,eo.order_id
OrderId
FROM erp_order eo
JOIN erp_order_option eoo ON eo.order_id=eoo.order_id
JOIN wms_order_sync wos ON wos.OrderId=eo.order_id
LEFT JOIN jx_region jrp ON jrp.region_id=eo.province_id
LEFT JOIN jx_region jrc ON jrc.region_id=eo.city_id
LEFT JOIN jx_region jrd ON jrd.region_id=eo.district_id WHERE
wos.IsValid=0 AND wos.DealFlag=0
and eo.ware_id=5
AND
eo.shipping_id=93
GROUP BY eo.order_id ORDER
BY eoo.sendtime DESC LIMIT 20\G
(1)直接分析慢查詢文件:
pt-query-digest slowq.log >
slow_report.log
(2)分析最近12小時內的查詢:
pt-query-digest --since=12h
slowq.log > slow_report.log
(3)分析指定時間範圍內的查詢:
pt-query-digest slowq.log --since '2015-04-17 09:30:00'
--until '2015-04-17 10:00:00'> > slow_report.log
(4)分析指含有select語句的慢查詢
pt-query-digest--filter '$event->{fingerprint} =~
m/^select/i' slowq.log> slow_report.log
(5) 針對某個用戶的慢查詢
pt-query-digest--filter '($event->{user} || "") =~
m/^root/i' slowq.log> slow_report.log
(6) 查詢所有所有的全表掃描或full join的慢查詢
pt-query-digest--filter '(($event->{Full_scan} || "") eq
"yes") ||(($event->{Full_join} || "") eq "yes")' slowq.log >
slow_report.log
(7)把查詢保存到query_review表
pt-query-digest --user=root
--password=abc123 --review
h=localhost,D=test,t=query_review--create-review-table
slowq.log
(8)把查詢保存到query_history表
pt-query-digest --user=root
--password=abc123 --review
h=localhost,D=test,t=query_
history--create-review-table slowq.log
pt-query-digest --user=root
--password=abc123--review
h=localhost,D=test,t=query_history--create-review-table
slowq.log
(9)通過tcpdump抓取mysql的tcp協議數據,然後再分析
tcpdump -s 65535 -x -nn -q -tttt -i any -c 1000 port 3306 >
mysql.txt
pt-query-digest --type tcpdump mysql.txt>
slow_report.log
(10)分析binlog
mysqlbinlog mysql-bin.000077 > mysql-bin000077.sql
pt-query-digest --type=binlog
mysql-bin000077.sql > slow_report.log
(11)分析general log
pt-query-digest --type=genlog
localhost.log > slow_report.log
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