Analying The Change Frequency Of Active Users Tokens From Tomcat Logs

接到Java開發人員的需求,從Tomcat日誌中提取最近一個月查詢、購票活躍度最高的5位iOS用戶的token變更頻率。日誌文件在線上生產服務器中，單個文件高達十數GB，無法使用vim打開，只能下載到本機後再進行數據提取操作，以下是完整的記錄。

Requirements

需求整理如下

Target

提取最近一個月(2016.11.01~30, 2016.12.01)查詢、購票活躍度最高的5位iOS用戶的token變更頻率

Data Source

Active Users’ Info

活躍用戶信息查詢，SQL語句由Java開發人員提供 (SQL語句似乎有問題,沒有判斷是否屬於iOS用戶)

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select a.* from t_bus_member a join (select member_id,count(1) sum from t_bus_ticket where create_time >= '2016-11-1' and create_time <'2016-12-1' and ticket_status = 2 group by member_id order by sum desc limit 5) b on a.id = b.member_id\G

其中含有需要的設備ID (t_bus_member.mac_id)

Data Source File

日誌文件

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/PATH1/flybus-provider/logs/all.log*
/PATH2/tomcat-flybus-provider/logs/catalina.out

Filter Parameters

日誌在線上生產服務器中，日誌格式

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flybus-provider [2016-12-01 00:07:39] 1480408150655-2091 com.raxtone.utils.spring.logger.LoggerAspect:48
INFO : (LoggerAspect.java:48)    请求方法：void com.raxtone.flybus.rpc.rmi.user.IPushTSRmiService.sendTokenToSerer(TokenParam,String,Integer,Integer)，请求参数：[{"cityId":0,"token":"80275d72bebcbf9c0d9d5c4f62c7b15e90c6795c5a4a58af79f4f57f47a7590f"},"cb0eeb6990335140b8f65fb3fc9a3f522de48b35",11,100]

按如下要求在日誌文件中查詢匹配數據

含有關鍵詞 sendTokenToSerer；
同時含有設備ID，示例中的cb0eeb6990335140b8f65fb3fc9a3f522de48b35；

提取其中的日期，設備ID，token值，在示例中分別是

item	details
date	`2016-12-01 00:07:39`
mac_id	`cb0eeb6990335140b8f65fb3fc9a3f522de48b35`
token	`80275d72bebcbf9c0d9d5c4f62c7b15e90c6795c5a4a58af79f4f57f47a7590f`

Output Format

結果輸出格式 時間|設備編號|token

2016-12-01 00:07:39|cb0eeb6990335140b8f65fb3fc9a3f522de48b35|80275d72bebcbf9c0d9d5c4f62c7b15e90c6795c5a4a58af79f4f57f47a7590f`

Analysis

Step1 Active Users’ Info

查詢、購票活躍度最高的5爲iOS用戶的設備ID由開發人員提供的SQL語句獲取。

Step2 Download Log Files

原始日誌文件總大小達16GB，在生產服務器上進行數據提取操作會對線上業務造成影響；通過sftp將相關日誌拉取到本地進行處理，保存路徑爲/tmp/flybusProvider。

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[[email protected] flybusProvider]$ ls -lh
total 16G
-rw-r--r-- 1 flying flying 100M Dec  2 16:34 all.log
-rw-r--r-- 1 flying flying 105M Dec  2 16:34 all.log.2016-11-29
-rw-r--r-- 1 flying flying 211M Dec  2 16:34 all.log.2016-11-30
-rw-r--r-- 1 flying flying 208M Dec  2 16:35 all.log.2016-12-01
-rw-r--r-- 1 flying flying  16G Dec  2 16:33 catalina.out
[[email protected] flybusProvider]$ pwd
/tmp/flybusProvider
[[email protected] flybusProvider]$ ls -lh
total 16G
-rw-r--r-- 1 flying flying 100M Dec  2 16:34 all.log
-rw-r--r-- 1 flying flying 105M Dec  2 16:34 all.log.2016-11-29
-rw-r--r-- 1 flying flying 211M Dec  2 16:34 all.log.2016-11-30
-rw-r--r-- 1 flying flying 208M Dec  2 16:35 all.log.2016-12-01
-rw-r--r-- 1 flying flying  16G Dec  2 16:33 catalina.out
[[email protected] flybusProvider]$ du -sh
16G	.
[[email protected] flybusProvider]$

Step3 Merge Line

日誌中請求日期和請求體在相鄰的兩行中，須將其合併爲一行，只對指定時間範圍內的數據進行操作，使用命令awk及其中的getline方法實現；

原始數據格式

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flybus-provider [2016-11-30 00:45:32] 1480408150487-2087 com.raxtone.utils.spring.logger.LoggerAspect:48
INFO : (LoggerAspect.java:48)    请求方法：void com.raxtone.flybus.rpc.rmi.user.IPushTSRmiService.sendTokenToServer(TokenParam,String,Integer,Integer)，请求参数
：[{"cityId":0,"token":"843edf6bfd3df2b448f58b762a2e6c06cfae05b0c44ac088edce81dd50c5d4bc"},"bed8a36e77253e1e16972e73b2c8743def6356e7",11,100]
flybus-provider [2016-11-30 00:45:32] 1480408150487-2087 PushTSLogger:119

期望的數據格式(將兩行合併成一行)

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flybus-provider [2016-11-30 00:45:32] 1480408150487-2087 com.raxtone.utils.spring.logger.LoggerAspect:48 INFO : (LoggerAspect.java:48)    请求方法：void com.raxtone.flybus.rpc.rmi.user.IPushTSRmiService.sendTokenToServer(TokenParam,String,Integer,Integer)，请求参数：[{"cityId":0,"token":"843edf6bfd3df2b448f58b762a2e6c06cfae05b0c44ac088edce81dd50c5d4bc"},"bed8a36e77253e1e16972e73b2c8743def6356e7",11,100]

Step4 Filtering Via Keywords

通過關鍵詞sendTokenToServer和token過濾，提取含有該2個關鍵詞的行，通過命令awk實現。

Extract Specific Data

token字段通過命令sed提取
設備ID、日期字段通過命令awk提取

將提取的數據寫入新文件中

Step5 Load Data Into MySQL DBMS

創建數據表，將提取的數據寫入數據庫。

Operation Precedures

Active Users’ Info

從生產數據庫主庫查詢

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17:56:15 flybus> select a.id,client_id,a.mac_id from t_bus_member a join (select member_id,count(1) sum from t_bus_ticket where create_time >= '2016-11-1' and create_time <'2016-12-1' and ticket_status = 2 group by member_id order by sum desc limit 5) b on a.id = b.member_id\G
*************************** 1. row ***************************
             id: 32177
      client_id: 171
         mac_id: a58c41716de3c98b0b9b6a44f03442c803d61d78
*************************** 2. row ***************************
             id: 37081
      client_id: 171
         mac_id: 96262d20d58519e2ea6ea87f8cb0a5f7653fcc40
*************************** 3. row ***************************
             id: 26003
      client_id: 171
         mac_id: e444928b471124ce31609f992ac0853cbf2a0b8c
*************************** 4. row ***************************
             id: 37323
      client_id: 171
         mac_id: 88befa42adb6745cc9c19e18d689f0913290c4d2
*************************** 5. row ***************************
             id: 36479
      client_id: 169
         mac_id: 12a352b35e513dc5f341ec35aad12ff
5 rows in set (0.95 sec)

17:56:25 flybus>

提取到的数据(设备ID)为

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a58c41716de3c98b0b9b6a44f03442c803d61d78
96262d20d58519e2ea6ea87f8cb0a5f7653fcc40
e444928b471124ce31609f992ac0853cbf2a0b8c
88befa42adb6745cc9c19e18d689f0913290c4d2
12a352b35e513dc5f341ec35aad12ff

Download Source Log Files

通過創建SSH Tunnel穿透 跳板主機 直連內網主機，利用命令sftp將相關日誌文件下載到本地。

Merge Two Lines Into One Line

將指定時間範圍內的數據行，兩行合併一行，其行首分別是flybus-provider、INFO。

具體命令爲

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awk '$1~/flybus-provider/&&($2~/2016-11-[[:digit:]]{2}/||$2~/2016-12-01/){printf $0;getline;print}' /tmp/flybusProvider/* > /tmp/mergeline.txt

提取出的數據文件大小

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[[email protected] ~]$ ls -lh /tmp/mergeline.txt
-rw-rw-r-- 1 flying flying 7.7G Dec  2 17:40 /tmp/mergeline.txt
# 數據行數
[[email protected] ~]$ awk 'END{print NR}' /tmp/mergeline.txt
9257670
[[email protected] ~]$

Filter Data Via Keywords

關鍵詞爲sendTokenToServer和token，提取同時含有的數據行

具體命令爲

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awk '$0~/sendTokenToServer/&&$0~/"token"/{printf("%s\n",$0)}' /tmp/mergeline.txt > /tmp/haskeywords.txt

提取出的數據文件大小

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[[email protected] ~]$ ls -lh /tmp/haskeywords.txt
-rw-rw-r-- 1 flying flying 9.7M Dec  5 11:54 /tmp/haskeywords.txt
# 數據行數
[[email protected] ~]$ awk 'END{print NR}' /tmp/haskeywords.txt
25835
[[email protected] ~]$

Extract Specific Field

文件/tmp/haskeywords.txt數據格式爲

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flybus-provider [2016-11-29 16:23:15] 1480407795138-737 com.raxtone.utils.spring.logger.LoggerAspect:48 INFO : (LoggerAspect.java:48)    请求方法：void com.raxtone.flybus.rpc.rmi.user.IPushTSRmiService.sendTokenToServer(TokenParam,String,Integer,Integer)，请求参数：[{"cityId":0,"token":"3d34356980904e8348107081b64112eac0852f3851dd71537fa74d0e9d2fbf41"},"36416",11,100]

通過命令

`1`	`sed -r '[email protected](\[\|\]\|\")@@g'`

去除日期兩側的方括號[、]以及數據行中的雙引號"。

處理後的格式如下

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flybus-provider 2016-11-29 16:23:15 1480407795138-737 com.raxtone.utils.spring.logger.LoggerAspect:48 INFO : (LoggerAspect.java:48)    请求方法：void com.raxtone.flybus.rpc.rmi.user.IPushTSRmiService.sendTokenToServer(TokenParam,String,Integer,Integer)，请求参数：{cityId:0,token:3d34356980904e8348107081b64112eac0852f3851dd71537fa74d0e9d2fbf41},36416,11,100

Extract change_date

通過命令

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awk '{printf("%s %s\n",$2,$3)}'

提取變更日期，輸出爲

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2016-11-29 16:23:15

測試過程

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[[email protected] ~]$ head -1 /tmp/haskeywords.txt  | sed -r '[email protected](\[|\]|\")@@g' | awk '{printf("%s %s\n",$2,$3)}'
2016-11-29 16:23:15
[[email protected] ~]$

Extract token

通過命令

`1`	`sed -r -n '[email protected]token:(.)}.*@\[email protected]'`

提取token，輸出爲

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3d34356980904e8348107081b64112eac0852f3851dd71537fa74d0e9d2fbf41

測試過程

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[[email protected] ~]$ head -1 /tmp/haskeywords.txt  | sed -r '[email protected](\[|\]|\")@@g' | sed -r -n '[email protected]*token:(.*)}.*@\[email protected]'
3d34356980904e8348107081b64112eac0852f3851dd71537fa74d0e9d2fbf41
[[email protected] ~]$

Extract mac_id

通過命令

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awk -v FS=',' '{print $(NF-2)}'

提取設備ID，輸出爲

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36416

測試過程

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[[email protected] ~]$ head -1 /tmp/haskeywords.txt  | sed -r '[email protected](\[|\]|\")@@g' | awk -v FS=',' '{print $(NF-2)}'
36416
[[email protected] ~]$

Write Info New File

將其取出的數據寫入新文件，具體命令如下

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resultfile='/tmp/resultfile.txt'
[[ -f "$resultfile" ]] && rm -f "$resultfile"
touch "$resultfile"

flag=0
while read line; do
    strip_character=$(echo "$line" | sed -r '[email protected](\[|\]|\")@@g')
    change_date=$(echo "$strip_character" | awk '{printf("%s %s\n",$2,$3)}')
    token=$(echo "$strip_character" | sed -r -n '[email protected]*token:(.*)}.*@\[email protected]')
    mac_id=$(echo "$strip_character" | awk -v FS=',' '{print $(NF-2)}')
    let flag+=1
    printf "%d|%s|%s|%s\n" "$flag" "$mac_id" "$token" "$change_date" >> "$resultfile"
done < /tmp/haskeywords.txt

提取出的數據文件大小

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[[email protected] ~]$ ls -lh /tmp/resultfile.txt
-rw-rw-r-- 1 flying flying 2.7M Dec  5 12:17 /tmp/resultfile.txt
# 數據行數
[[email protected] ~]$ awk 'END{print NR}' /tmp/resultfile.txt
25835
# 數據格式
[[email protected] ~]$ awk 'END{print $0}' /tmp/resultfile.txt
25835|27441|6c565066e2637c6b2b53d2d0e4dae6d4ef21856cc9187ab9d61111692a077c2b|2016-12-01 23:54:41
[[email protected] ~]$

Load Data Into MySQL DBMS

將提取出的數據寫入數據表

創建數據表

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-- 刪除存在的同名數據庫
drop database if exists userTokenAnalysis;

-- 創建數據庫
create database if not exists userTokenAnalysis
    default character set=utf8
    default collate=utf8_general_ci;

-- 進入數據庫
use userTokenAnalysis;

-- 創建數據表details
create table if not exists details (
    id mediumint unsigned not null auto_increment primary key comment 'primary id',
    mac_id char(40) not null comment 'mac id',
    token char(64) not null comment 'token length 64',
    change_date timestamp null default null comment 'change date',
    storage_time timestamp not null default current_timestamp comment 'item format YYYY-MM-DD HH:MM:SS'
)engine=innodb default charset=utf8 collate=utf8_general_ci comment 'token mac_id change_date';

-- 創建索引
create index details_mac_id on details (mac_id) comment 'index mac_id';

寫入數據庫

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mysql -e "load data local infile '/tmp/resultfile.txt' into table userTokenAnalysis.details fields terminated by '|' lines terminated by '\n';"

Complete Shell Script

將上述在本機進行的操作合併成Shell Script，內容如下

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#!/bin/bash
#writer: MaxdSre
#date: 2016.12.05 12:17 Mon Asia/Shanghai

awk '$1~/flybus-provider/&&($2~/2016-11-[[:digit:]]{2}/||$2~/2016-12-01/){printf $0;getline;print}' /tmp/flybusProvider/* > /tmp/mergeline.txt

awk '$0~/sendTokenToServer/&&$0~/"token"/{printf("%s\n",$0)}' /tmp/mergeline.txt > /tmp/haskeywords.txt

mysql -e "
drop database if exists userTokenAnalysis;

create database if not exists userTokenAnalysis
    default character set=utf8
    default collate=utf8_general_ci;

use userTokenAnalysis;

create table if not exists details (
    id mediumint unsigned not null auto_increment primary key comment 'primary id',
    mac_id char(40) not null comment 'mac id',
    token char(64) not null comment 'token length 64',
    change_date timestamp null default null comment 'change date',
    storage_time timestamp not null default current_timestamp comment 'item format YYYY-MM-DD HH:MM:SS'
)engine=innodb default charset=utf8 collate=utf8_general_ci comment 'token mac_id change_date';

create index details_mac_id on details (mac_id) comment 'index mac_id'
"

resultfile='/tmp/resultfile.txt'
[[ -f "$resultfile" ]] && rm -f "$resultfile"
touch "$resultfile"

flag=0
while read line; do
    strip_character=$(echo "$line" | sed -r '[email protected](\[|\]|\")@@g')
    change_date=$(echo "$strip_character" | awk '{printf("%s %s\n",$2,$3)}')
    token=$(echo "$strip_character" | sed -r -n '[email protected]*token:(.*)}.*@\[email protected]')
    mac_id=$(echo "$strip_character" | awk -v FS=',' '{print $(NF-2)}')
    let flag+=1
    printf "%d|%s|%s|%s\n" "$flag" "$mac_id" "$token" "$change_date" >> "$resultfile"
done < /tmp/haskeywords.txt

unset flag

mysql -e "load data local infile '/tmp/resultfile.txt' into table userTokenAnalysis.details fields terminated by '|' lines terminated by '\n';"

# rm -f /tmp/mergeline.txt
# rm -f /tmp/haskeywords.txt
# rm -f /tmp/resultfile.txt

#Script End

Query

數據查詢，可分爲2種

直接操作數據文件/tmp/resultfile.txt；
在數據庫中執行select查詢；

Directly Search File

提取出現次數最高的10個設備ID，並按照出現次數的多寡逆序排列

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[[email protected] ~]$ awk -v FS='|' '{arr[$2]++}END{flag=0;PROCINFO["sorted_in"]="@val_num_desc";for (i in arr) if(flag < 10){print i,arr[i];flag++}}' /tmp/resultfile.txt
36416 198
29718 160
31385 158
37493 154
31246 153
28326 149
21157 146
488133db68064f8aba9ba08c8ef4e746687568b6 140
35985 140
22032 136
[[email protected] ~]$

提取出現次數最高的10個設備ID(字符長度大於5)，並按照出現次數的多寡逆序排列

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[[email protected] ~]$ awk -v FS='|' '{if(length($2)>5){arr[$2]++}}END{flag=0;PROCINFO["sorted_in"]="@val_num_desc";for (i in arr) if(flag < 10) {print i,arr[i];flag++}}' /tmp/resultfile.txt
488133db68064f8aba9ba08c8ef4e746687568b6 140
d41d8cd98f00b204e9800998ecf8427eaf861266 110
fad24ff33c1c935aeb4355c047b6780ea5862b1f 99
bed8a36e77253e1e16972e73b2c8743def6356e7 99
d41d8cd98f00b204e9800998ecf8427e7c0e84ed 98
b64fe0e416eecd61bdea35379643846d308f6b97 98
933abe66f2a3ac125f722bf44eb566488aad0c0f 92
c3aabfe68db99085463de99f0756874108e90479 92
ae6b851b36b11836c11b86c3d24b2037f32376fa 89
afcab9731bd52208a64a0bf15a9ef75b6bcb1ccc 87
[[email protected] ~]$

查詢用戶設備ID爲88befa42adb6745cc9c19e18d689f0913290c4d2的數據，格式按日期設備ID token排列

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[[email protected] ~]$ awk -v FS='|' '$2~/88befa42adb6745cc9c19e18d689f0913290c4d2/{printf "%s %s %s\n",$NF,$2,$3}' /tmp/resultfile.txt
2016-12-01 17:50:56 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
2016-12-01 18:18:58 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
2016-12-01 18:35:12 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
2016-12-01 17:50:56 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
2016-12-01 18:18:58 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
2016-12-01 18:35:12 88befa42adb6745cc9c19e18d689f0913290c4d2 31aa8d0c86a2974e700b2e1c7a1c3d1a9ddf36326cafbc63c5164bdb1ce27a39
[[email protected] ~]$

Use Select Statements

查詢獨立的設備ID數

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MariaDB [userTokenAnalysis]> select count(distinct(mac_id)) as counts from details;
+--------+
| counts |
+--------+
|   1817 |
+--------+
1 row in set (0.03 sec)

MariaDB [userTokenAnalysis]>

查詢各設備ID出現的次數(只取10條)

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MariaDB [userTokenAnalysis]> select mac_id,count(id) as counts from details group by mac_id order by counts desc limit 10;
+------------------------------------------+--------+
| mac_id                                   | counts |
+------------------------------------------+--------+
| 36416                                    |    198 |
| 29718                                    |    160 |
| 31385                                    |    158 |
| 37493                                    |    154 |
| 31246                                    |    153 |
| 28326                                    |    149 |
| 21157                                    |    146 |
| 35985                                    |    140 |
| 488133db68064f8aba9ba08c8ef4e746687568b6 |    140 |
| 22032                                    |    136 |
+------------------------------------------+--------+
10 rows in set (0.11 sec)

MariaDB [userTokenAnalysis]>

查詢指定的用戶的設備ID出現的次數

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MariaDB [userTokenAnalysis]> select mac_id,count(id) as counts from details where mac_id in ('a58c41716de3c98b0b9b6a44f03442c803d61d78','96262d20d58519e2ea6ea87f8cb0a5f7653fcc40','e444928b471124ce31609f992ac0853cbf2a0b8c','88befa42adb6745cc9c19e18d689f0913290c4d2','12a352b35e513dc5f341ec35aad12ff') group by mac_id order by counts desc;
+------------------------------------------+--------+
| mac_id                                   | counts |
+------------------------------------------+--------+
| a58c41716de3c98b0b9b6a44f03442c803d61d78 |     50 |
| 88befa42adb6745cc9c19e18d689f0913290c4d2 |      6 |
| 96262d20d58519e2ea6ea87f8cb0a5f7653fcc40 |      5 |
+------------------------------------------+--------+
3 rows in set (0.04 sec)

MariaDB [userTokenAnalysis]>

查詢設備IDa58c41716de3c98b0b9b6a44f03442c803d61d78各token出現的次數

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MariaDB [userTokenAnalysis]> select token,count(token) as counts from details where mac_id='a58c41716de3c98b0b9b6a44f03442c803d61d78' group by token desc;
+------------------------------------------------------------------+--------+
| token                                                            | counts |
+------------------------------------------------------------------+--------+
| 12f8416a809e895caaba4903a3dcd916c0a0ea18fb135f968601d842c09964ed |     50 |
+------------------------------------------------------------------+--------+
1 row in set (0.04 sec)

MariaDB [userTokenAnalysis]>

在數據庫中將查詢到的數據提取到外部文件中

文件默認不存在,如存在會報錯

ERROR 1086 (HY000): File ‘/tmp/mysqlextractdata.txt’ already exists

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MariaDB [(none)]> select change_date,mac_id,token into outfile '/tmp/mysqlextractdata.txt' fields terminated by ' ' lines terminated by '\n' from userTokenAnalysis.details order by mac_id;
Query OK, 25835 rows affected (0.09 sec)

MariaDB [(none)]> exit
Bye

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[[email protected] ~]$ awk 'END{print NR}' /tmp/mysqlextractdata.txt
25835
[[email protected] ~]$

在Bash Shell中執行SQL將查詢數據導入到文件中

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[[email protected] ~]$ mysql -Bse "select change_date,mac_id,token from userTokenAnalysis.details where mac_id in ('a58c41716de3c98b0b9b6a44f03442c803d61d78','96262d20d58519e2ea6ea87f8cb0a5f7653fcc40','e444928b471124ce31609f992ac0853cbf2a0b8c','88befa42adb6745cc9c19e18d689f0913290c4d2','12a352b35e513dc5f341ec35aad12ff') order by mac_id;" > /tmp/mysqlextractdata.txt
[[email protected] ~]$ awk 'END{print NR}' /tmp/mysqlextractdata.txt
61
[[email protected] ~]$

References

Change Logs

2016.12.05 15:29 Mon Asia/Shanghai
- 初稿完成
2018.04.11 09:37 Wed America/Boston
- 勘誤，遷移到新Blog

Table of Contents

Requirements

Target

Data Source

Active Users’ Info

Data Source File

Filter Parameters

Output Format

Analysis

Step1 Active Users’ Info

Step2 Download Log Files

Step3 Merge Line

Step4 Filtering Via Keywords

Extract Specific Data

Step5 Load Data Into MySQL DBMS

Operation Precedures

Active Users’ Info

Download Source Log Files

Merge Two Lines Into One Line

Filter Data Via Keywords

Extract Specific Field

Extract change_date

Extract token

Extract mac_id

Write Info New File

Load Data Into MySQL DBMS

Complete Shell Script

Query

Directly Search File

Use Select Statements

References

Change Logs