pt-query-digest分析mysql（mariadb）数据库慢查询日志（slow_query_log）详述
案例1:pt-query-digest综合分析返回值
[root@iZ25ja2kaemZ ~]# pt-query-digest /var/run/mysqld/mysqld-slow.log
# 400ms user time, 20ms system time, 26.45M rss, 212.00M vsz
# Current date: Sat Sep 3 16:59:25 2016
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log【第一部分为总体分析】
# Overall: 408 total, 25 unique, 0.00 QPS, 0.00x concurrency ____【wyq：Overall: 总共有多少条查询，上例为总共 408个查询，将其抽象为25个独立查询（即将408条查询分为25类，每个类查询格式相似或一样）】
# Time range: 2016-09-01 22:06:01 to 2016-09-03 13:19:24 【这些慢查询记录的时间范围，Time range: 查询执行的时间范围】
# Attribute total min max avg 95% stddev median （ total 总计，min:最小 max: 最大 avg:平均 95%: 把所有值从小到大排列，位置位于95%的那个数，这个数一般最具有参考价值；stddev：标准差，该值给出各个统计数据相对于avg平均值的离散程度，数值越大说明研究的数据样本相对于平均值离散程度越大。一般来讲如果这些样本数据符合正太分布（实际可能符合也可能不符合，但是正太分布的规律有一定参考价值），那么我们有在正态分布中，均值+/-一个标准差范围所占比率为全部数值之68%。对于正态分布，两个标准差之内的比率合起来为95%。对于正态分布，正负三个标准差之内的比率合起来为99%；median: 中位数，把所有值从小到大排列，位置位于中间那个数）
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 5s 4us 2s 11ms 34ms 109ms 384us 【慢查询日志中总共记录的慢查询耗时总数为5秒，其中最慢的一次查询耗时2s，最快的一次查询耗时4us，所有记录的查询中平均每次查询耗时11ms，95%左右的查询都小于或等于34ms。】
# Lock time 75ms 0 34ms 183us 73us 2ms 0【锁定时间】
# Rows sent 224.25k 0 15.67k 562.82 964.41 2.49k 4.96【发送行数，如果发送行数远远小于查询行数，那么说明我们建立的索引不是太好，一般来讲索引建立的越好，那么发送行数与扫描行数越接近】
# Rows examine 274.12k 0 15.67k 687.98 2.89k 2.78k 9.83【扫描行数】
# Query size 22.68k 19 484 56.93 151.03 41.13 51.63 【查询语句总大小k为千字节，如一个查询语句"SELECT * FROM `TABLES` LIMIT 0, 1000"共计36个字母或数字或符号，即计算为36个字节，我们这里的22.68k字节是所有的本次统计的查询记录所有查询语句长度累加起来的总字节数。】
[第二部分为对查询进行参数化并分组，即对查询语句类似的查询归为一类，然后对各类查询的执行情况进行分析，结果按总执行时长，从大到小排序。
Rank The query's rank within the entire set of queries analyzed
Query ID The query's fingerprint
Response time The total response time, and percentage of overall total总的响应时间
Calls The number of times this query was executed 执行次数，即本次分析总共有多少条这种类型的查询语句。
R/Call The mean response time per execution 平均每次执行的响应时间。
V/M The Variance-to-mean ratio of response time 方差/均值，方差除以平均值，称为离散指数，值越大说明这条语句执行越不稳定，需要关注。关于方差，在数学上是个重要的概念，是分析正太分布的重要参数。
Item The distilled query 抽象化的对象
]
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============= ===== ====== =====
# 1 0x67A347A2812914DF 4.1590 88.9% 252 0.0165 1.16 SELECT dede_addonarticle
# 2 0x19EE5F8E296E4E3D 0.3294 7.0% 22 0. 0150 0.02 SELECT payment
# MISC 0xMISC 0.1892 4.0% 134 0.0014 0.0 <23 ITEMS>
【第三部分：每一种查询的详细统计结果，即上面第二部分的详细表述】
# Query 1: 19.38 QPS, 0.32x concurrency, ID 0x67A347A2812914DF at byte 36459
# This item is included in the report because it matches --limit.
# Scores: V/M = 1.16
# Time range: 2016-09-02 21:00:02 to 21:00:15
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 61 252 [wyq:该条（抽象）语句总共执行了252次记录，占总log文件记录条数的61%。]
# Exec time 88 4s 78us 2s 17ms 31ms 138ms 1ms【wyq该条（抽象）语句的所有执行次数的总共执行时间为4s，占有总log文件分析中总时间的88%，显然这种执行时间长，占比大的语句时我们优化的目的语句】
# Lock time 0 0 0 0 0 0 0 0 【锁定时间】
# Rows sent 39 88.32k 0 15.67k 358.90 592.07 1.66k 6.98【实际搜索到的结果行数，该抽象查询占总统计记录的39%】
# Rows examine 32 88.32k 0 15.67k 358.90 592.07 1.66k 6.98【扫描的行数，该抽象查询占总统计记录的32%】
# Query size 59 13.46k 43 71 54.69 59.77 4.20 54.21【该抽象查询语句的总字符数数据量k为千字节，该抽象查询占总统计记录的59%】
# String:
# Databases web (140/55%), dedeini (44/17%)... 5 more 【库名】
# Hosts localhost #一般为当前服务器的主机名
# Users root #当前服务器登录者的用户名
# Query_time distribution 【查询时间分布, 长短体现区间占比，本例中1s-10s之间查询数量是10s以上的二分之一，第一行为1us-10us（不包括10us本身，第二行为10us-100us区间的占比。】
# 1us
# 10us ##
# 100us ########
# 1ms #######
# 10ms ###########
# 100ms #
# 1s ########
# 10s+ ################
# Tables [查询中涉及到的表]
# SHOW TABLE STATUS FROM `flower` LIKE 'dede_addonarticle'\G
# SHOW CREATE TABLE `flower`.`dede_addonarticle`\G
SELECT /*!40001 SQL_NO_CACHE */ * FROM `dede_addonarticle`\G
# Converted for EXPLAIN
# EXPLAIN /*!50100 PARTITIONS*/
SELECT /*!40001 SQL_NO_CACHE */ * FROM `dede_addonarticle`\G [wyq:当前抽象化的查询语句]
# Query 2: 0.01 QPS, 0.00x concurrency, ID 0x19EE5F8E296E4E3D at byte 7811
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.02
# Time range: 2016-09-01 22:17:33 to 23:27:05
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 5 22
# Exec time 7 329ms 209us 44ms 15ms 42ms 19ms 301us
# Lock time 2 2ms 68us 88us 73us 76us 5us 69us
# Rows sent 53 119.58k 1 15.67k 5.44k 15.20k 6.98k 13.83
# Rows examine 43 119.58k 1 15.67k 5.44k 15.20k 6.98k 13.83
# Query size 3 703 30 36 31.95 34.95 2.01 30.19
# String:
# Databases sakila
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us ################################################################
# 1ms ####
# 10ms #######################################
# 100ms
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `sakila` LIKE 'payment'\G
# SHOW CREATE TABLE `sakila`.`payment`\G
# EXPLAIN /*!50100 PARTITIONS*/
select * from payment limit 50000\G
[root@iZ25ja2kaemZ ~]#
案例 2:--limit 应用，仅仅打印总抽象化分组后的前面3个。
[root@iZ25ja2kaemZ ~]# pt-query-digest --limit 3 /var/run/mysqld/mysqld-slow.log#可以看到下面总共5 unique分析结果数据，我们取出前面的3条分析结果。
# 240ms user time, 10ms system time, 24.52M rss, 205.19M vsz
# Current date: Sat Sep 3 17:58:45 2016
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 9 total, 5 unique, 0.05 QPS, 0.00x concurrency ________________
# Time range: 2016-09-03 17:07:47 to 17:11:03
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 96ms 207us 40ms 11ms 40ms 16ms 236us
# Lock time 672us 68us 85us 74us 84us 6us 73us
# Rows sent 31.47k 2 15.67k 3.50k 15.20k 6.31k 3.89
# Rows examine 31.47k 2 15.67k 3.50k 15.20k 6.31k 3.89
# Query size 302 19 49 33.56 46.83 12.98 28.75
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============= ===== ====== ===== ==============
# 1 0x528FB5BA9A8EE134 0.0790 82.6% 2 0.0395 0.00 SELECT rental
# 2 0x7726C04443A49C26 0.0152 15.9% 1 0.0152 0.00 SELECT country
# 3 0x651F0078A1D623D4 0.0010 1.0% 4 0.0002 0.00 SELECT rental
# MISC 0xMISC 0.0004 0.4% 2 0.0002 0.0 <2 ITEMS>
# Query 1: 0.02 QPS, 0.00x concurrency, ID 0x528FB5BA9A8EE134 at byte 585
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: 2016-09-03 17:08:10 to 17:09:58
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 22 2
# Exec time 82 79ms 39ms 40ms 39ms 40ms 387us 39ms
# Lock time 22 152us 68us 84us 76us 84us 11us 76us
# Rows sent 99 31.34k 15.67k 15.67k 15.67k 15.67k 0 15.67k
# Rows examine 99 31.34k 15.67k 15.67k 15.67k 15.67k 0 15.67k
# Query size 13 40 20 20 20 20 0 20
# String:
# Databases sakila
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `sakila` LIKE 'rental'\G
# SHOW CREATE TABLE `sakila`.`rental`\G
# EXPLAIN /*!50100 PARTITIONS*/
select * from rental\G
# Query 2: 0 QPS, 0x concurrency, ID 0x7726C04443A49C26 at byte 0 ________
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2016-09-03 17:07:47
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 11 1
# Exec time 15 15ms 15ms 15ms 15ms 15ms 0 15ms
# Lock time 10 71us 71us 71us 71us 71us 0 71us
# Rows sent 0 109 109 109 109 109 0 109
# Rows examine 0 109 109 109 109 109 0 109
# Query size 6 21 21 21 21 21 0 21
# String:
# Databases sakila
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `sakila` LIKE 'country'\G
# SHOW CREATE TABLE `sakila`.`country`\G
# EXPLAIN /*!50100 PARTITIONS*/
select * from country\G
# Query 3: 0.31 QPS, 0.00x concurrency, ID 0x651F0078A1D623D4 at byte 1615
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: 2016-09-03 17:10:50 to 17:11:03
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 44 4
# Exec time 1 970us 235us 257us 242us 247us 9us 242us
# Lock time 46 313us 75us 85us 78us 84us 4us 80us
# Rows sent 0 26 4 14 6.50 13.83 4.30 3.89
# Rows examine 0 26 4 14 6.50 13.83 4.30 3.89
# Query size 63 193 48 49 48.25 46.83 0 46.83
# String:
# Databases sakila
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us ################################################################
# 1ms
# 10ms
# 100ms
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `sakila` LIKE 'rental'\G
# SHOW CREATE TABLE `sakila`.`rental`\G
# EXPLAIN /*!50100 PARTITIONS*/
select * from rental order by rental_id limit 14\G
案例 3：--group-by 按照表来分析数据并排序查询，取出分析结果的前3条数据。
[root@iZ25ja2kaemZ ~]# pt-query-digest --limit 3 --group-by tables /var/run/mysqld/mysqld-slow.log
# 6.5s user time, 50ms system time, 33.46M rss, 214.19M vsz
# Current date: Tue Mar 3 18:16:04 2020
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 22.82k total, 463 unique, 0.00 QPS, 0.00x concurrency _________
# Time range: 2019-05-14 02:12:15 to 2020-03-03 18:08:21
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 863s 43us 14s 38ms 75ms 230ms 16ms
# Lock time 43s 0 850ms 2ms 2ms 16ms 98us
# Rows sent 723.86k 0 4.51k 32.47 24.84 277.42 0.99
# Rows examine 11.09M 0 345.12k 509.59 223.14 6.20k 4.96
# Query size 6.47M 20 42.96k 297.45 652.75 904.21 97.36
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ======== ============== ===== ====== ===== ========================
# 1 0x 97.3616 11.3% 72 1.3522 2.78 shangqiao.qiaoyixinli
# 2 0x 96.7103 11.2% 4634 0.0209 0.04 information_schema.triggers
# 3 0x 37.4393 4.3% 464 0.0807 2.16 wyq.while_rep
# 21 0x 9.6697 1.1% 20 0.4835 2.89 weiyinqingnew.ims_wechat_news
# 40 0x 5.1931 0.6% 19 0.2733 1.15 weiyinqingqiang.ims_core_cache
# MISC 0xMISC 617.1089 71.5% 17616 0.0350 0.0 <458 ITEMS>
# ########################################################################
# Report grouped by tables
# ########################################################################
# Item 1: 0.00 QPS, 0.00x concurrency, ID 0x8994EAC6F931830A at byte 1181361
# Scores: V/M = 2.78
# Time range: 2019-07-10 20:07:56 to 2019-07-25 07:49:55
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 72
# Exec time 11 97s 11ms 10s 1s 4s 2s 266ms
# Lock time 0 5ms 0 124us 70us 93us 22us 73us
# Rows sent 5 40.29k 0 1000 573.03 964.41 428.82 918.49
# Rows examine 6 729.98k 0 345.12k 10.14k 11.91k 45.78k 964.41
# Query size 0 10.67k 41 2.87k 151.76 271.23 334.27 80.10
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (35/48%), localhost (15/20%)... 4 more
# Users 1593356863... (57/79%), root (15/20%)
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms #########################################
# 100ms ################################################################
# 1s ##################################################
# 10s+ ##
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
shangqiao.qiaoyixinli
# Item 2: 0.00 QPS, 0.00x concurrency, ID 0x3733B3F3ECBC932F at byte 388392
# Scores: V/M = 0.04
# Time range: 2019-05-14 12:04:53 to 2020-02-05 07:43:53
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 20 4634
# Exec time 11 97s 11ms 865ms 21ms 36ms 27ms 17ms
# Lock time 3 2s 130us 66ms 370us 424us 1ms 301us
# Rows sent 0 0 0 0 0 0 0 0
# Rows examine 0 0 0 0 0 0 0 0
# Query size 15 1.02M 209 253 230.67 234.30 7.84 223.14
# String:
# Databases zhaopin (1077/23%), wyq (697/15%)... 9 more
# Hosts 114.249.118.195 (1151/24%)... 30 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms #
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `information_schema` LIKE 'triggers'\G
# SHOW CREATE TABLE `information_schema`.`triggers`\G
information_schema.triggers
# Item 3: 0.00 QPS, 0.00x concurrency, ID 0x3F3B4344E4284AB1 at byte 5460841
# Scores: V/M = 2.16
# Time range: 2019-05-14 12:05:37 to 2020-03-03 15:43:01
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 2 464
# Exec time 4 37s 945us 6s 81ms 148ms 417ms 20ms
# Lock time 0 423ms 19us 56ms 910us 626us 6ms 60us
# Rows sent 41 298.25k 0 4.51k 658.21 3.88k 1.28k 14.52
# Rows examine 17 1.99M 0 11.68k 4.38k 10.80k 2.83k 4.49k
# Query size 1 77.38k 23 390 170.76 313.99 96.33 158.58
# String:
# Databases wyq
# Hosts localhost (416/89%), 114.249.113.5 (12/2%)... 14 more
# Users root (416/89%), 1593356863... (48/10%)
# Query_time distribution
# 1us
# 10us
# 100us #
# 1ms #################
# 10ms ################################################################
# 100ms #####
# 1s #
# 10s+
# Tables
# SHOW TABLE STATUS FROM `wyq` LIKE 'while_rep'\G
# SHOW CREATE TABLE `wyq`.`while_rep`\G
wyq.while_rep
# Item 21: 0.00 QPS, 0.00x concurrency, ID 0x66D4F21B5813BAE5 at byte 3437201
# Scores: V/M = 2.89
# Time range: 2019-05-17 00:45:56 to 2020-02-21 00:28:44
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 20
# Exec time 1 10s 13ms 4s 483ms 4s 1s 34ms
# Lock time 0 41ms 23us 26ms 2ms 7ms 5ms 247us
# Rows sent 0 141 0 23 7.05 22.53 7.30 3.89
# Rows examine 0 176 4 23 8.80 22.53 6.25 6.98
# Query size 0 1.70k 31 299 86.90 284.79 70.63 84.10
# String:
# Databases weiyinqingnew
# Hosts localhost (12/60%), 124.64.18.177 (5/25%)... 3 more
# Users admin (12/60%), 1593356863... (8/40%)
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms ##################
# 1s #########
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weiyinqingnew` LIKE 'ims_wechat_news'\G
# SHOW CREATE TABLE `weiyinqingnew`.`ims_wechat_news`\G
weiyinqingnew.ims_wechat_news
# Item 40: 0.00 QPS, 0.00x concurrency, ID 0xD265237295CAA2F8 at byte 4502730
# Scores: V/M = 1.15
# Time range: 2019-05-16 20:07:29 to 2019-12-24 14:03:36
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 19
# Exec time 0 5s 14ms 2s 273ms 2s 560ms 56ms
# Lock time 0 31ms 25us 30ms 2ms 185us 7ms 69us
# Rows sent 0 506 0 75 26.63 72.65 28.12 0.99
# Rows examine 0 506 0 75 26.63 72.65 28.12 0.99
# Query size 0 1.11k 30 81 59.95 76.28 18.37 72.65
# String:
# Databases weiyinqingqiang
# Hosts localhost (10/52%), 114.242.250.236 (4/21%)... 3 more
# Users admin (10/52%), 1593356863... (9/47%)
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms ###################
# 1s #########
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weiyinqingqiang` LIKE 'ims_core_cache'\G
# SHOW CREATE TABLE `weiyinqingqiang`.`ims_core_cache`\G
weiyinqingqiang.ims_core_cache
[root@iZ25ja2kaemZ ~]#
案例 4 --since 按照时间，最近12h，单位可以是h，s等 ，--until 参数值可以直接是日期时间格式
[root@iZ25ja2kaemZ ~]#pt-query-digest --limit 8 --since 12h /var/run/mysqld/mysqld-slow.log
[root@iZ25ja2kaemZ ~]# pt-query-digest --since '2020-01-07 09:30:00' --until '2020-01-17 10:00:00' --limit 1 /var/run/mysqld/mysqld-slow.log
# 2.5s user time, 70ms system time, 26.45M rss, 207.21M vsz
# Current date: Tue Mar 3 19:13:09 2020
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 534 total, 133 unique, 0.00 QPS, 0.00x concurrency ____________
# Time range: 2020-01-07 10:15:04 to 2020-01-17 09:11:49
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 32s 10ms 6s 60ms 122ms 282ms 27ms
# Lock time 1s 0 139ms 2ms 2ms 11ms 69us
# Rows sent 87.52k 0 3.91k 167.83 964.41 674.59 3.89
# Rows examine 668.77k 0 26.63k 1.25k 4.95k 3.93k 7.70
# Query size 61.45k 14 1.49k 117.84 329.68 172.31 44.60
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============= ===== ====== ===== ===============
# 1 0x476A95D312083789 8.1589 25.3% 12 0.6799 4.30 SELECT while_rep
# MISC 0xMISC 24.0484 74.7% 522 0.0461 0.0 <132 ITEMS>
# Query 1: 0.00 QPS, 0.00x concurrency, ID 0x476A95D312083789 at byte 5460841
# This item is included in the report because it matches --limit.
# Scores: V/M = 4.30
# Time range: 2020-01-08 19:24:03 to 2020-01-16 15:30:31
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 2 12
# Exec time 25 8s 29ms 6s 680ms 339ms 2s 148ms
# Lock time 0 1ms 68us 155us 87us 93us 22us 80us
# Rows sent 13 11.72k 1000 1000 1000 1000 0 1000
# Rows examine 8 58.88k 4.84k 4.95k 4.91k 4.95k 55.50 4.95k
# Query size 1 696 58 58 58 58 0 58
# String:
# Databases wyq
# Hosts 114.249.113.5 (7/58%), 114.249.119.32 (5/41%)
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms #####################################################
# 100ms ################################################################
# 1s ##########
# 10s+
# Tables
# SHOW TABLE STATUS FROM `wyq` LIKE 'while_rep'\G
# SHOW CREATE TABLE `wyq`.`while_rep`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `while_rep` ORDER BY `id` DESC LIMIT 0, 1000\G
#
案例5.1 --order-by 分析结果排序，可以按照count执行次数从大到小排序，默认值为按照查询时间从大到小排序。
Aggregate Meaning Query_time:sum
========= ============================
sum Sum/total attribute value ，排序数值参见下面红色字体标记。
min Minimum attribute value，排序数值参见下面红色字体标记。
max Maximum attribute value，排序数值参见下面红色字体标记。
cnt Frequency/count of the query，排序数值参见下面红色字体标记。
# Query 3: 0 QPS, 0x concurrency, ID 0xCEF2FE22D940E046 at byte 5756079 __
# Scores: V/M = 0.00
# Time range: all events occurred at 2020-02-07 20:23:39
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 1(cnt)
# Exec time 1 9s(sum) 9s(min) 9s(max) 9s 9s 0 9s
# Lock time 0 102us 102us 102us 102us 102us 0 102us
# Rows sent 0 1000 1000 1000 1000 1000 0 1000
# Rows examine 0 1000 1000 1000 1000 1000 0 1000
# Query size 0 36 36 36 36 36 0 36
# String:
# Databases information_schema
# Hosts 183.197.37.189
# Users 15933568633
# Query_time distribution
根据你要分析的日志的类型，我们的attributes的值是不同的，比如日志中记录了，比如我们看下面的mys
ql的慢查询日志的记录格式，该格式有键值对Query_time，Lock_time，Rows_sent，Rows_examined等( Query_time: 0.024078 Lock_time: 0.000033 Rows_sent: 1 Rows_examined: 344
)记录，因此我
们认为上述4个就是针对该格式日志的attribute，我们可以根据这些类型进行排序等。比如按照放行数的最大值从大到小
分类排序：pt-query-digest --order-by:Rows_sent --limit 5 /tmp/abc.log.(注意attributes的大小写，必须linux
是区分大小写的。
这四个attribute可以与sum,max,min组合，排序，这样我们有12种组合）
如pt-query-digest --order-by Lock_time:sum --limit 5 /var/run/mysqld/mysqld-slow.log
pt-query-digest --order-by Rows_examined:sum --limit 5 /var/run/mysqld/mysqld-slow.log
[root@iZ25ja2kaemZ ~]# pt-query-digest --limit 5 --order-by Query_time:sum /var/run/mysqld/mysqld-slow.log
# 5.7s user time, 50ms system time, 38.01M rss, 218.76M vsz
# Current date: Tue Mar 3 17:43:32 2020
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 22.66k total, 810 unique, 0.00 QPS, 0.00x concurrency _________
# Time range: 2019-05-14 02:12:14 to 2020-03-03 17:30:00
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 941s 43us 14s 42ms 82ms 235ms 17ms
# Lock time 37s 0 850ms 2ms 2ms 14ms 98us
# Rows sent 550.42k 0 4.51k 24.87 28.75 218.93 0.99
# Rows examine 7.95M 0 345.12k 367.99 183.58 4.33k 3.89
# Query size 6.07M 11 42.96k 280.68 652.75 906.82 92.72
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============== ===== ====== ===== ==============
# 1 0xF382DCE6D809E44D 96.7103 10.3% 4634 0.0209 0.04 SELECT information_schema.triggers
# 2 0x99AA0165670CE848 69.0287 7.3% 562 0.1228 1.09 ADMIN PREPARE
# 3 0xBFBEAB2DCE0C7048 46.1048 4.9% 21 2.1955 2.06 SELECT qiaoyixinli
# 4 0x79F0E996230BE344 43.0752 4.6% 12 3.5896 1.02 SELECT qiaoyixinli
# 5 0x4D41CF9302FA6F8F 33.7322 3.6% 25 1.3493 1.47 SELECT ims_core_cache
# 7 0xCF7D6B8416942E54 21.1302 2.2% 177 0.1194 1.06 SELECT cmf_portal_post cmf_portal_category_post
# 14 0x79E1C8DA3A31C630 11.9477 1.3% 12 0.9956 2.05 SELECT ims_wechat_news
# MISC 0xMISC 619.6322 65.8% 17222 0.0360 0.0 <803 ITEMS>
# Query 1: 0.00 QPS, 0.00x concurrency, ID 0xF382DCE6D809E44D at byte 388392
# Scores: V/M = 0.04
# Time range: 2019-05-14 12:04:53 to 2020-02-05 07:43:53
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 20 4634
# Exec time 10 97s 11ms 865ms 21ms 36ms 27ms 17ms
# Lock time 4 2s 130us 66ms 370us 424us 1ms 301us
# Rows sent 0 0 0 0 0 0 0 0
# Rows examine 0 0 0 0 0 0 0 0
# Query size 16 1.02M 209 253 230.67 234.30 7.84 223.14
# String:
# Databases zhaopin (1077/23%), wyq (697/15%)... 9 more
# Hosts 114.249.118.195 (1151/24%)... 30 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms #
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `information_schema` LIKE 'triggers'\G
# SHOW CREATE TABLE `information_schema`.`triggers`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT trigger_name, event_manipulation, event_object_table, action_statement, action_timing, DEFINER FROM information_schema.triggers WHERE BINARY event_object_schema='wyq' AND BINARY event_object_table='caiwu_cat'\G
# Query 2: 0.00 QPS, 0.00x concurrency, ID 0x99AA0165670CE848 at byte 5486302
# Scores: V/M = 1.09
# Time range: 2019-05-14 02:56:36 to 2020-03-01 08:48:33
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 2 562
# Exec time 7 69s 10ms 2s 123ms 208ms 366ms 28ms
# Lock time 0 0 0 0 0 0 0 0
# Rows sent 0 0 0 0 0 0 0 0
# Rows examine 0 0 0 0 0 0 0 0
# Query size 0 16.46k 30 30 30 30 0 30
# String:
# Databases thinkcmfww... (366/65%), servercmf (102/18%)... 3 more
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms #########
# 1s ##
# 10s+
administrator command: Prepare\G
# Query 3: 0.00 QPS, 0.00x concurrency, ID 0xBFBEAB2DCE0C7048 at byte 1181361
# Scores: V/M = 2.06
# Time range: 2019-07-11 01:50:13 to 2019-07-25 07:48:51
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 21
# Exec time 4 46s 212ms 10s 2s 4s 2s 2s
# Lock time 0 2ms 66us 95us 76us 84us 8us 69us
# Rows sent 1 10.64k 125 1000 519.05 964.41 328.11 363.48
# Rows examine 0 57.63k 250 27.75k 2.74k 8.06k 5.92k 719.66
# Query size 0 1.23k 60 60 60 60 0 60
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (16/76%), 114.242.250.169 (2/9%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms ##########################################
# 1s ################################################################
# 10s+ #####
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` ORDER BY `id` DESC LIMIT 0, 1000\G
# Query 4: 0.00 QPS, 0.00x concurrency, ID 0x79F0E996230BE344 at byte 1181116
# Scores: V/M = 1.02
# Time range: 2019-07-11 01:45:01 to 2019-07-25 07:48:32
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 12
# Exec time 4 43s 91ms 8s 4s 4s 2s 4s
# Lock time 0 916us 63us 103us 76us 93us 13us 73us
# Rows sent 1 9.96k 125 1000 849.50 964.41 311.65 964.41
# Rows examine 0 9.96k 125 1000 849.50 964.41 311.65 964.41
# Query size 0 492 41 41 41 41 0 41
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (6/50%), 114.242.250.169 (3/25%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ######
# 100ms ######
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` LIMIT 0, 1000\G
# Query 5: 0.00 QPS, 0.00x concurrency, ID 0x4D41CF9302FA6F8F at byte 676598
# Scores: V/M = 1.47
# Time range: 2019-05-16 18:07:27 to 2019-12-24 14:03:36
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 25
# Exec time 3 34s 80ms 6s 1s 3s 1s 609ms
# Lock time 0 4ms 58us 357us 170us 224us 61us 176us
# Rows sent 0 1.86k 35 157 76.12 143.84 38.45 54.21
# Rows examine 0 1.86k 35 157 76.12 143.84 38.45 54.21
# Query size 0 750 30 30 30 30 0 30
# String:
# Databases weiyinqing... (5/20%), zhaopin (5/20%)... 5 more
# Hosts 114.249.118.195 (7/28%)... 7 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ####
# 100ms ################################################################
# 1s #############################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weixindrkdpk` LIKE 'ims_core_cache'\G
# SHOW CREATE TABLE `weixindrkdpk`.`ims_core_cache`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `ims_core_cache`\G
# Query 7: 0.00 QPS, 0.00x concurrency, ID 0xCF7D6B8416942E54 at byte 5495272
# Scores: V/M = 1.06
# Time range: 2019-05-14 02:56:36 to 2020-03-03 13:17:38
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 177
# Exec time 2 21s 152us 2s 119ms 1s 355ms 21ms
# Lock time 8 3s 10us 308ms 17ms 189ms 65ms 11us
# Rows sent 0 177 1 1 1 1 0 1
# Rows examine 0 25.43k 15 207 147.10 202.40 64.34 151.03
# Query size 0 33.71k 195 195 195 195 0 195
# String:
# Databases thinkcmfww... (103/58%), servercmf (41/23%)... 1 more
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us #################################
# 1ms #
# 10ms ################################################################
# 100ms
# 1s #######
# 10s+
# Tables
# SHOW TABLE STATUS FROM `thinkcmfwww` LIKE 'cmf_portal_post'\G
# SHOW CREATE TABLE `thinkcmfwww`.`cmf_portal_post`\G
# SHOW TABLE STATUS FROM `thinkcmfwww` LIKE 'cmf_portal_category_post'\G
# SHOW CREATE TABLE `thinkcmfwww`.`cmf_portal_category_post`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT COUNT(*) AS tp_count FROM `cmf_portal_post` `pp` LEFT JOIN `cmf_portal_category_post` `pcp` ON `pp`.`id`=`pcp`.`post_id` WHERE `pp`.`post_type` = '1' AND `pp`.`post_status` = '1' LIMIT 1\G
# Query 14: 0.00 QPS, 0.00x concurrency, ID 0x79E1C8DA3A31C630 at byte 3437201
# Scores: V/M = 2.05
# Time range: 2019-05-16 18:07:31 to 2019-12-24 14:03:50
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 12
# Exec time 1 12s 54ms 4s 996ms 4s 1s 219ms
# Lock time 0 2ms 59us 281us 190us 260us 61us 204us
# Rows sent 0 137 2 23 11.42 22.53 6.87 8.91
# Rows examine 0 137 2 23 11.42 22.53 6.87 8.91
# Query size 0 372 31 31 31 31 0 31
# String:
# Databases weiyinqing... (5/41%), weiyinqing (4/33%)... 2 more
# Hosts 124.64.18.177 (6/50%), 114.249.114.179 (3/25%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ###################################################
# 100ms ################################################################
# 1s ######################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weiyinqingnew` LIKE 'ims_wechat_news'\G
# SHOW CREATE TABLE `weiyinqingnew`.`ims_wechat_news`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `ims_wechat_news`\G
案例5.2：相似语句抽象化分类后，按照各个分类中的消耗时间最大值排序，之后用grep或awk等命令，根据最大消耗时间的语句进行在慢查询文件中筛选，就可以找到具体相关语句的位置，从而获取更详细的如执行时间等参数。
[root@iZ25ja2kaemZ ~]# pt-query-digest --order-by query_time:max /var/run/mysqld/mysqld-slow.log
--order-by attribute query_time doesn't exist, using Query_time:sum
# 5.7s user time, 50ms system time, 38.00M rss, 218.77M vsz
# Current date: Tue Mar 3 19:27:31 2020
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 22.76k total, 810 unique, 0.00 QPS, 0.00x concurrency _________
# Time range: 2019-05-14 02:12:14 to 2020-03-03 18:42:04
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 941s 43us 14s 41ms 82ms 234ms 17ms
# Lock time 37s 0 850ms 2ms 2ms 14ms 98us
# Rows sent 550.78k 0 4.51k 24.78 28.75 218.45 0.99
# Rows examine 8.12M 0 345.12k 373.85 183.58 4.34k 3.89
# Query size 6.11M 11 42.96k 281.44 652.75 909.11 92.72
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============== ===== ======= ===== =============
# 1 0x4D8A09430936693B 14.3093 1.5% 1 14.3093 0.00 SELECT shangqiao
# 2 0xBFBEAB2DCE0C7048 46.1048 4.9% 21 2.1955 2.06 SELECT qiaoyixinli
# 3 0xCEF2FE22D940E046 9.4689 1.0% 1 9.4689 0.00 SELECT TABLES
# 4 0x79F0E996230BE344 43.0752 4.6% 12 3.5896 1.02 SELECT qiaoyixinli
# 5 0x476A95D312083789 9.1447 1.0% 19 0.4813 4.00 SELECT while_rep
# 6 0x4D41CF9302FA6F8F 33.7322 3.6% 25 1.3493 1.47 SELECT ims_core_cache
# 7 0xF3CDA5C1770E388F 14.0764 1.5% 9 1.5640 2.11 SELECT ims_mc_mapping_fans
# 8 0x796253C663E1C8CE 5.6543 0.6% 1 5.6543 0.00 SELECT while_rep while_cat
# 9 0x695E5E60651991F2 16.4097 1.7% 6 2.7349 0.40 SELECT dede_co_htmls
# 10 0xCE66DCE3597EFF42 4.6442 0.5% 1 4.6442 0.00 SELECT TABLES
# 11 0x79E1C8DA3A31C630 11.9477 1.3% 12 0.9956 2.05 SELECT ims_wechat_news
# 12 0x91F201E17CB08067 4.1233 0.4% 1 4.1233 0.00 SELECT TABLES
# 13 0x03AFE777450FD835 3.6930 0.4% 1 3.6930 0.00 SELECT qiaoyixinli
# 14 0xE958917A8E776CB7 12.5662 1.3% 6 2.0944 0.04 SELECT dede_addonarticle
# 15 0x03501D3472746CE1 2.5550 0.3% 1 2.5550 0.00 SELECT infosbdbusi
# 16 0x96D78854DE54F647 2.5139 0.3% 1 2.5139 0.00 SELECT infosbdbusi
# 17 0x99AA0165670CE848 69.0287 7.3% 562 0.1228 1.09 ADMIN PREPARE
# 18 0xCA101F2D917D89C7 2.3335 0.2% 1 2.3335 0.00 SELECT messagebd
# 19 0x0AA89354E33465CD 2.1800 0.2% 1 2.1800 0.00 SELECT messagebd
# 20 0xA924DB5906D69564 5.2276 0.6% 4 1.3069 0.33 SELECT area
# 25 0xCF7D6B8416942E54 21.1308 2.2% 178 0.1187 1.06 SELECT cmf_portal_post cmf_portal_category_post
# MISC 0xMISC 607.5455 64.5% 21900 0.0277 0.0 <789 ITEMS>
# Query 1: 0 QPS, 0x concurrency, ID 0x4D8A09430936693B at byte 1164501 __
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2019-07-10 20:07:11
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 1
# Exec time 1 14s 14s 14s 14s 14s 0 14s
# Lock time 0 114us 114us 114us 114us 114us 0 114us
# Rows sent 0 1000 1000 1000 1000 1000 0 1000
# Rows examine 0 18.79k 18.79k 18.79k 18.79k 18.79k 0 18.79k
# Query size 0 58 58 58 58 58 0 58
# String:
# Databases shangqiao
# Hosts 124.64.17.104
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s
# 10s+ ################################################################
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'shangqiao'\G
# SHOW CREATE TABLE `shangqiao`.`shangqiao`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `shangqiao` ORDER BY `id` DESC LIMIT 0, 1000\G
# Query 2: 0.00 QPS, 0.00x concurrency, ID 0xBFBEAB2DCE0C7048 at byte 1173664
# This item is included in the report because it matches --limit.
# Scores: V/M = 2.06
# Time range: 2019-07-11 01:50:13 to 2019-07-25 07:48:51
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 21
# Exec time 4 46s 212ms 10s 2s 4s 2s 2s
# Lock time 0 2ms 66us 95us 76us 84us 8us 69us
# Rows sent 1 10.64k 125 1000 519.05 964.41 328.11 363.48
# Rows examine 0 57.63k 250 27.75k 2.74k 8.06k 5.92k 719.66
# Query size 0 1.23k 60 60 60 60 0 60
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (16/76%), 114.242.250.169 (2/9%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms ##########################################
# 1s ################################################################
# 10s+ #####
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` ORDER BY `id` DESC LIMIT 0, 1000\G
# Query 3: 0 QPS, 0x concurrency, ID 0xCEF2FE22D940E046 at byte 5756079 __
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2020-02-07 20:23:39
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 1
# Exec time 1 9s 9s 9s 9s 9s 0 9s
# Lock time 0 102us 102us 102us 102us 102us 0 102us
# Rows sent 0 1000 1000 1000 1000 1000 0 1000
# Rows examine 0 1000 1000 1000 1000 1000 0 1000
# Query size 0 36 36 36 36 36 0 36
# String:
# Databases information_schema
# Hosts 183.197.37.189
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `information_schema` LIKE 'TABLES'\G
# SHOW CREATE TABLE `information_schema`.`TABLES`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `TABLES` LIMIT 0, 1000\G
# Query 4: 0.00 QPS, 0.00x concurrency, ID 0x79F0E996230BE344 at byte 1173204
# This item is included in the report because it matches --limit.
# Scores: V/M = 1.02
# Time range: 2019-07-11 01:45:01 to 2019-07-25 07:48:32
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 12
# Exec time 4 43s 91ms 8s 4s 4s 2s 4s
# Lock time 0 916us 63us 103us 76us 93us 13us 73us
# Rows sent 1 9.96k 125 1000 849.50 964.41 311.65 964.41
# Rows examine 0 9.96k 125 1000 849.50 964.41 311.65 964.41
# Query size 0 492 41 41 41 41 0 41
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (6/50%), 114.242.250.169 (3/25%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ######
# 100ms ######
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` LIMIT 0, 1000\G
.............后面的输出太长，省略............
案例6：分析指含有select语句的慢查询
[root@iZ25ja2kaemZ ~]# pt-query-digest --filter '$event->{fingerprint} =~ m/^select/i' --limit 10 /var/run/mysqld/mysqld-slow.log
# 4.7s user time, 50ms system time, 33.04M rss, 213.84M vsz
# Current date: Tue Mar 3 19:16:41 2020
# Hostname: iZ25ja2kaemZ
# Files: /var/run/mysqld/mysqld-slow.log
# Overall: 13.67k total, 510 unique, 0.00 QPS, 0.00x concurrency _________
# Time range: 2019-05-14 02:56:36 to 2020-03-03 18:42:04
# Attribute total min max avg 95% stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 624s 43us 14s 46ms 75ms 289ms 17ms
# Lock time 31s 0 850ms 2ms 5ms 16ms 93us
# Rows sent 444.36k 0 4.51k 33.28 23.65 280.58 0.99
# Rows examine 8.00M 0 345.12k 613.27 463.90 5.59k 0.99
# Query size 2.09M 20 958 160.48 346.17 95.88 118.34
# Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============== ===== ======= ===== =============
# 1 0xF382DCE6D809E44D 96.7103 15.5% 4634 0.0209 0.04 SELECT information_schema.triggers
# 2 0xBFBEAB2DCE0C7048 46.1048 7.4% 21 2.1955 2.06 SELECT qiaoyixinli
# 3 0x79F0E996230BE344 43.0752 6.9% 12 3.5896 1.02 SELECT qiaoyixinli
# 4 0x4D41CF9302FA6F8F 33.7322 5.4% 25 1.3493 1.47 SELECT ims_core_cache
# 5 0xA846C3DAB1512DA6 22.1964 3.6% 531 0.0418 0.03 SELECT ims_core_cache
# 6 0xCF7D6B8416942E54 21.1308 3.4% 178 0.1187 1.06 SELECT cmf_portal_post cmf_portal_category_post
# 7 0x695E5E60651991F2 16.4097 2.6% 6 2.7349 0.40 SELECT dede_co_htmls
# 8 0x4D8A09430936693B 14.3093 2.3% 1 14.3093 0.00 SELECT shangqiao
# 9 0xF3CDA5C1770E388F 14.0764 2.3% 9 1.5640 2.11 SELECT ims_mc_mapping_fans
# 10 0xE958917A8E776CB7 12.5662 2.0% 6 2.0944 0.04 SELECT dede_addonarticle
# 11 0x79E1C8DA3A31C630 11.9477 1.9% 12 0.9956 2.05 SELECT ims_wechat_news
# MISC 0xMISC 291.6528 46.7% 8237 0.0354 0.0 <499 ITEMS>
# Query 1: 0.00 QPS, 0.00x concurrency, ID 0xF382DCE6D809E44D at byte 388392
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.04
# Time range: 2019-05-14 12:04:53 to 2020-02-05 07:43:53
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 33 4634
# Exec time 15 97s 11ms 865ms 21ms 36ms 27ms 17ms
# Lock time 5 2s 130us 66ms 370us 424us 1ms 301us
# Rows sent 0 0 0 0 0 0 0 0
# Rows examine 0 0 0 0 0 0 0 0
# Query size 48 1.02M 209 253 230.67 234.30 7.84 223.14
# String:
# Databases zhaopin (1077/23%), wyq (697/15%)... 9 more
# Hosts 114.249.118.195 (1151/24%)... 30 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms #
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `information_schema` LIKE 'triggers'\G
# SHOW CREATE TABLE `information_schema`.`triggers`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT trigger_name, event_manipulation, event_object_table, action_statement, action_timing, DEFINER FROM information_schema.triggers WHERE BINARY event_object_schema='wyq' AND BINARY event_object_table='caiwu_cat'\G
# Query 2: 0.00 QPS, 0.00x concurrency, ID 0xBFBEAB2DCE0C7048 at byte 1181361
# This item is included in the report because it matches --limit.
# Scores: V/M = 2.06
# Time range: 2019-07-11 01:50:13 to 2019-07-25 07:48:51
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 21
# Exec time 7 46s 212ms 10s 2s 4s 2s 2s
# Lock time 0 2ms 66us 95us 76us 84us 8us 69us
# Rows sent 2 10.64k 125 1000 519.05 964.41 328.11 363.48
# Rows examine 0 57.63k 250 27.75k 2.74k 8.06k 5.92k 719.66
# Query size 0 1.23k 60 60 60 60 0 60
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (16/76%), 114.242.250.169 (2/9%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms ##########################################
# 1s ################################################################
# 10s+ #####
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` ORDER BY `id` DESC LIMIT 0, 1000\G
# Query 3: 0.00 QPS, 0.00x concurrency, ID 0x79F0E996230BE344 at byte 1181116
# This item is included in the report because it matches --limit.
# Scores: V/M = 1.02
# Time range: 2019-07-11 01:45:01 to 2019-07-25 07:48:32
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 12
# Exec time 6 43s 91ms 8s 4s 4s 2s 4s
# Lock time 0 916us 63us 103us 76us 93us 13us 73us
# Rows sent 2 9.96k 125 1000 849.50 964.41 311.65 964.41
# Rows examine 0 9.96k 125 1000 849.50 964.41 311.65 964.41
# Query size 0 492 41 41 41 41 0 41
# String:
# Databases shangqiao
# Hosts 117.136.38.164 (6/50%), 114.242.250.169 (3/25%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ######
# 100ms ######
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'qiaoyixinli'\G
# SHOW CREATE TABLE `shangqiao`.`qiaoyixinli`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `qiaoyixinli` LIMIT 0, 1000\G
# Query 4: 0.00 QPS, 0.00x concurrency, ID 0x4D41CF9302FA6F8F at byte 676598
# This item is included in the report because it matches --limit.
# Scores: V/M = 1.47
# Time range: 2019-05-16 18:07:27 to 2019-12-24 14:03:36
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 25
# Exec time 5 34s 80ms 6s 1s 3s 1s 609ms
# Lock time 0 4ms 58us 357us 170us 224us 61us 176us
# Rows sent 0 1.86k 35 157 76.12 143.84 38.45 54.21
# Rows examine 0 1.86k 35 157 76.12 143.84 38.45 54.21
# Query size 0 750 30 30 30 30 0 30
# String:
# Databases weiyinqing... (5/20%), zhaopin (5/20%)... 5 more
# Hosts 114.249.118.195 (7/28%)... 7 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ####
# 100ms ################################################################
# 1s #############################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weixindrkdpk` LIKE 'ims_core_cache'\G
# SHOW CREATE TABLE `weixindrkdpk`.`ims_core_cache`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `ims_core_cache`\G
# Query 5: 0.00 QPS, 0.00x concurrency, ID 0xA846C3DAB1512DA6 at byte 5655839
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.03
# Time range: 2019-05-15 23:33:11 to 2020-03-01 05:44:20
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 3 531
# Exec time 3 22s 10ms 402ms 42ms 105ms 37ms 28ms
# Lock time 17 6s 20us 215ms 10ms 59ms 25ms 54us
# Rows sent 0 531 1 1 1 1 0 1
# Rows examine 0 531 1 1 1 1 0 1
# Query size 1 39.38k 73 90 75.95 76.28 2.62 72.65
# String:
# Databases zhaopin (307/57%), weiyinqing... (111/20%)... 5 more
# Hosts localhost
# Users zhaopin (307/57%), admin (129/24%)... 3 more
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms #####
# 1s
# 10s+
# Tables
# SHOW TABLE STATUS FROM `zhaopin` LIKE 'ims_core_cache'\G
# SHOW CREATE TABLE `zhaopin`.`ims_core_cache`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT `value` FROM `ims_core_cache` WHERE `key` = 'we7:system_frame:0' LIMIT 1\G
# Query 6: 0.00 QPS, 0.00x concurrency, ID 0xCF7D6B8416942E54 at byte 5495272
# This item is included in the report because it matches --limit.
# Scores: V/M = 1.06
# Time range: 2019-05-14 02:56:36 to 2020-03-03 18:17:19
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 1 178
# Exec time 3 21s 152us 2s 119ms 1s 355ms 21ms
# Lock time 9 3s 10us 308ms 17ms 189ms 65ms 11us
# Rows sent 0 178 1 1 1 1 0 1
# Rows examine 0 25.63k 15 207 147.44 202.40 64.31 151.03
# Query size 1 33.90k 195 195 195 195 0 195
# String:
# Databases thinkcmfww... (104/58%), servercmf (41/23%)... 1 more
# Hosts localhost
# Users root
# Query_time distribution
# 1us
# 10us
# 100us #################################
# 1ms #
# 10ms ################################################################
# 100ms
# 1s #######
# 10s+
# Tables
# SHOW TABLE STATUS FROM `thinkcmfwww` LIKE 'cmf_portal_post'\G
# SHOW CREATE TABLE `thinkcmfwww`.`cmf_portal_post`\G
# SHOW TABLE STATUS FROM `thinkcmfwww` LIKE 'cmf_portal_category_post'\G
# SHOW CREATE TABLE `thinkcmfwww`.`cmf_portal_category_post`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT COUNT(*) AS tp_count FROM `cmf_portal_post` `pp` LEFT JOIN `cmf_portal_category_post` `pcp` ON `pp`.`id`=`pcp`.`post_id` WHERE `pp`.`post_type` = '1' AND `pp`.`post_status` = '1' LIMIT 1\G
# Query 7: 0.00 QPS, 0.00x concurrency, ID 0x695E5E60651991F2 at byte 3073770
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.40
# Time range: 2019-05-14 12:05:30 to 2020-02-05 07:44:02
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 6
# Exec time 2 16s 2s 5s 3s 5s 1s 3s
# Lock time 0 1ms 148us 299us 209us 287us 51us 231us
# Rows sent 0 438 73 73 73 73 0 73
# Rows examine 0 438 73 73 73 73 0 73
# Query size 0 174 29 29 29 29 0 29
# String:
# Databases wyq
# Hosts 114.242.248.191 (1/16%)... 5 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `wyq` LIKE 'dede_co_htmls'\G
# SHOW CREATE TABLE `wyq`.`dede_co_htmls`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `dede_co_htmls`\G
# Query 8: 0 QPS, 0x concurrency, ID 0x4D8A09430936693B at byte 1164501 __
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: all events occurred at 2019-07-10 20:07:11
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 1
# Exec time 2 14s 14s 14s 14s 14s 0 14s
# Lock time 0 114us 114us 114us 114us 114us 0 114us
# Rows sent 0 1000 1000 1000 1000 1000 0 1000
# Rows examine 0 18.79k 18.79k 18.79k 18.79k 18.79k 0 18.79k
# Query size 0 58 58 58 58 58 0 58
# String:
# Databases shangqiao
# Hosts 124.64.17.104
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s
# 10s+ ################################################################
# Tables
# SHOW TABLE STATUS FROM `shangqiao` LIKE 'shangqiao'\G
# SHOW CREATE TABLE `shangqiao`.`shangqiao`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `shangqiao` ORDER BY `id` DESC LIMIT 0, 1000\G
# Query 9: 0.00 QPS, 0.00x concurrency, ID 0xF3CDA5C1770E388F at byte 4415531
# This item is included in the report because it matches --limit.
# Scores: V/M = 2.11
# Time range: 2019-05-21 17:57:22 to 2019-12-24 14:03:40
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 9
# Exec time 2 14s 31ms 6s 2s 5s 2s 293ms
# Lock time 0 1ms 55us 213us 123us 204us 39us 125us
# Rows sent 0 1.37k 2 289 155.78 284.79 118.59 166.51
# Rows examine 0 1.37k 2 289 155.78 284.79 118.59 166.51
# Query size 0 315 35 35 35 35 0 35
# String:
# Databases weiyinqing... (3/33%), weixinxort... (2/22%)... 3 more
# Hosts 114.249.114.179 (3/33%)... 3 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ################################################################
# 100ms ################
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weixinxortrta` LIKE 'ims_mc_mapping_fans'\G
# SHOW CREATE TABLE `weixinxortrta`.`ims_mc_mapping_fans`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `ims_mc_mapping_fans`\G
# Query 10: 0.00 QPS, 0.00x concurrency, ID 0xE958917A8E776CB7 at byte 3073139
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.04
# Time range: 2019-05-14 12:05:25 to 2020-02-05 07:43:57
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 6
# Exec time 2 13s 2s 3s 2s 3s 272ms 2s
# Lock time 0 1ms 146us 243us 179us 236us 32us 159us
# Rows sent 0 522 87 87 87 87 0 87
# Rows examine 0 522 87 87 87 87 0 87
# Query size 0 198 33 33 33 33 0 33
# String:
# Databases wyq
# Hosts 114.242.248.191 (1/16%)... 5 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms
# 100ms
# 1s ################################################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `wyq` LIKE 'dede_addonarticle'\G
# SHOW CREATE TABLE `wyq`.`dede_addonarticle`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `dede_addonarticle`\G
# Query 11: 0.00 QPS, 0.00x concurrency, ID 0x79E1C8DA3A31C630 at byte 3437201
# This item is included in the report because it matches --outliers.
# Scores: V/M = 2.05
# Time range: 2019-05-16 18:07:31 to 2019-12-24 14:03:50
# Attribute pct total min max avg 95% stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count 0 12
# Exec time 1 12s 54ms 4s 996ms 4s 1s 219ms
# Lock time 0 2ms 59us 281us 190us 260us 61us 204us
# Rows sent 0 137 2 23 11.42 22.53 6.87 8.91
# Rows examine 0 137 2 23 11.42 22.53 6.87 8.91
# Query size 0 372 31 31 31 31 0 31
# String:
# Databases weiyinqing... (5/41%), weiyinqing (4/33%)... 2 more
# Hosts 124.64.18.177 (6/50%), 114.249.114.179 (3/25%)... 2 more
# Users 15933568633
# Query_time distribution
# 1us
# 10us
# 100us
# 1ms
# 10ms ###################################################
# 100ms ################################################################
# 1s ######################################
# 10s+
# Tables
# SHOW TABLE STATUS FROM `weiyinqingnew` LIKE 'ims_wechat_news'\G
# SHOW CREATE TABLE `weiyinqingnew`.`ims_wechat_news`\G
# EXPLAIN /*!50100 PARTITIONS*/
SELECT * FROM `ims_wechat_news`\G
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