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人生本来就是一场修行...

YUM安装PHP7的开发环境

安装xdebug
搜索相应库:yum search php|grep xdebug

yum install php72-php-pecl-xdebug

—————————–
YUM安装PHP7

想使用最新版PHP,就需要使用到REMI源,Remi repository是包含最新版本PHP和MySQL包的Linux源,由Remi提供维护。有个这个源之后,使用YUM安装或更新PHP、MySQL较新版本了。

安装最新的Remi源自动安装文件

# CentOS 6 / RHEL 6
yum install http://rpms.famillecollet.com/enterprise/remi-release-6.rpm

# CentOS 7 / RHEL 7
yum install http://rpms.famillecollet.com/enterprise/remi-release-7.rpm
安装PHP相关组件,下面提供的是一个生产环境中可以使用的标配安装。

$ yum –enablerepo=remi,remi-php70 install
php \
php-cgi \
php-cli \
php-fpm \
php-common \
php-devel \
php-mysqlnd \
php-mysql \
php-sqlite3 \
php-mbstring \
php-msgpack \
php-mcrypt \
php-bcmath \
php-gd \
php-xml \
php-ldap \
php-xmlrpc \
php-opcache \
php-curl \
php-json \
php-odbc \
php-pdo \
php-bz2 \
php-xml \
php-ftp \
php-imap \
php-snmp \
php-redis \
php-memcached

ZooKeeper的容器化配置

docker pull zookeeper
https://github.com/getwingm/kafka-stack-docker-compose

version: '3.1'
 
services:
  zoo1:
    image: zookeeper
    restart: always
    hostname: zoo1
    ports:
      - 2181:2181
    environment:
      ZOO_MY_ID: 1
      ZOO_SERVERS: server.1=0.0.0.0:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=zoo3:2888:3888;2181
 
  zoo2:
    image: zookeeper
    restart: always
    hostname: zoo2
    ports:
      - 2182:2181
    environment:
      ZOO_MY_ID: 2
      ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=0.0.0.0:2888:3888;2181 server.3=zoo3:2888:3888;2181
 
  zoo3:
    image: zookeeper
    restart: always
    hostname: zoo3
    ports:
      - 2183:2181
    environment:
      ZOO_MY_ID: 3
      ZOO_SERVERS: server.1=zoo1:2888:3888;2181 server.2=zoo2:2888:3888;2181 server.3=0.0.0.0:2888:3888;2181

Mongo常见操作

Mongo后台建唯一索引
db.orders.ensureIndex({userid:1,reqid:1},{unique:true,background:true})
备分数据库
mongodump -h 10.0.1.106 –port 27017 -u root -p xxxxxxx -d abc_gold -o /data/backup/abc_gold –authenticationDatabase admin
数据恢复
mongorestore -h 10.0.1.107 –port 27017 -u root -p yyyyyyyyy -d abc_gold /data/backup/abc_gold –drop –authenticationDatabase admin

pika编译及运行

1.基于https://github.com/Qihoo360/pika/的v3.1.1版本,定制出适合业务要求的功能改进版。
https://github.com/kxtry/pika是在v3.1.1基础上,新增了incrbyrange(key,val,min, max)及hincrbyrange(key,val,min, max)这两个命令。
2.官方提供的编译是直接基于docker的编译。

编译Dockerfile文件。
docker build -t pika .

3.提取编译后结果,也可以直接用该容器运行应用

运行应用:
docker run pika:latest bash -c "./bin/pika -c ./conf/pika.conf"
也可提取相关应用至宿主机运行。
docker cp 容器名:/pika/output ./  #docker cp ce4541cc4627:/pika/output ./

4.提取出来的应用,在宿主机上运行,需要安装相关依赖。

安装epel源。
rpm -ivh https://mirrors.ustc.edu.cn/epel/epel-release-latest-7.noarch.rpm
安装glog和protobuf的动态连接库。
sudo yum install -y glog protobuf  #编译时,对应的是glog-devel 和protobuf-devel
如果仍然无法运行,则执行strace ./pika或ldd pika来检查缺少哪些动态库。

5. 运行:

docker run pika:latest bash -c "./bin/pika -c ./conf/pika.conf"

6. 运行脚本run-app.sh

#!/bin/sh
 
# crontab -e
# */1 * * * * sh /data/scripts/run-app.sh start
 
path_current=`pwd`
path_script=$(cd "$(dirname "$0")"; pwd)
path_data=$path_script/data
logfile=$path_data/check.log
mode=$1
 
name=pika
 
app_process=`ps -ef | grep "$name"| grep -v grep`
 
if [ ! -d $path_data ];then 
   mkdir -p $path_data
fi
 
echo `date` >> $logfile
echo "ready to check...." >> $logfile
case "$mode" in
   'install')
      if [ ! -f $path_script/.envok ]; then
         rpm -ivh https://mirrors.ustc.edu.cn/epel/epel-release-latest-7.noarch.rpm
         yum install -y glog protobuf && touch $path_script/.envok
      fi
      if [ ! -f $path_script/conf/pika.conf ]; then
         mkdir -p $path_data && /bin/cp -rf $path_script/pika.conf.template $path_script/conf/pika.conf && echo "$path_script/conf/pika.conf" | xargs /bin/sed -i "s#{{path_current}}#$path_data#g"
      fi
      ;;
   'start')
      echo "$app_process" >> $logfile
      echo "it's ready to start op...."
      if test -n "$app_process"; then
         echo ""
         echo "$app_process"
         echo ""
      else
         cd $path_script  
         nohup $path_script/bin/$name -c $path_script/conf/${name}.conf > $path_data/info.txt 2>&1 &
         echo "success to restart $name" >> $logfile
         cd $path_current
      fi
      echo 'success to start.'
      ;;
   'stop')
      echo "it's ready to check process..."
      if test -n "$app_process"; then
         echo "had find app process informaton"
         echo $app_process | awk '{print ($2)}' | xargs kill -3
      fi
      echo 'success to kill.'
      ;;
   *)
      basename=`basename "$0"`
      echo "Usage: $basename  {install|start|stop}  [ server options ]"
      exit 1
      ;;
esac
exit 1

7.原默认配置脚本pika.conf.template

# Pika port
port : 9221
# Thread Number
thread-num : 50
# Thread Pool Size
thread-pool-size : 100
# Sync Thread Number
sync-thread-num : 10
# Pika log path
log-path : {{path_current}}/log/
# Pika db path
db-path : {{path_current}}/db/
# Pika write-buffer-size
write-buffer-size : 268435456
# Pika timeout
timeout : 60
# Requirepass
requirepass : abc123
# Masterauth
masterauth : abc123
# Userpass
userpass : abc123
# User Blacklist
userblacklist :
# if this option is set to 'classic', that means pika support multiple DB, in
# this mode, option databases enable
# if this option is set to 'sharding', that means pika support multiple Table, you
# can specify partition num for each table, in this mode, option table-list enable
# Pika instance mode [classic | sharding]
instance-mode : classic
# Set the number of databases. The default database is DB 0, you can select
# a different one on a per-connection basis using SELECT <dbid> where
# dbid is a number between 0 and 'databases' - 1, limited in [1, 8]
databases : 1
# Table list
table-list : table1:1,table2:1
# Dump Prefix
dump-prefix :
# daemonize  [yes | no]
daemonize : yes
# Dump Path
dump-path : {{path_current}}/dump/
# Expire-dump-days
dump-expire : 0
# pidfile Path
pidfile : {{path_current}}/pika.pid
# Max Connection
maxclients : 20000
# the per file size of sst to compact, defalut is 2M
target-file-size-base : 20971520
# Expire-logs-days
expire-logs-days : 7
# Expire-logs-nums
expire-logs-nums : 10
# Root-connection-num
root-connection-num : 2
# Slowlog-write-errorlog
slowlog-write-errorlog : no
# Slowlog-log-slower-than
slowlog-log-slower-than : 10000
# Slowlog-max-len
slowlog-max-len : 128
# Pika db sync path
db-sync-path : {{path_current}}/dbsync/
# db sync speed(MB) max is set to 1024MB, min is set to 0, and if below 0 or above 1024, the value will be adjust to 1024
db-sync-speed : -1
# The slave priority
slave-priority : 100
# network interface
#network-interface : eth1
# replication
#slaveof : master-ip:master-port
 
# CronTask, format 1: start-end/ratio, like 02-04/60, pika will check to schedule compaction between 2 to 4 o'clock everyday
#                   if the freesize/disksize > 60%.
#           format 2: week/start-end/ratio, like 3/02-04/60, pika will check to schedule compaction between 2 to 4 o'clock
#                   every wednesday, if the freesize/disksize > 60%.
#           NOTICE: if compact-interval is set, compact-cron will be mask and disable.
#
#compact-cron : 3/02-04/60
 
# Compact-interval, format: interval/ratio, like 6/60, pika will check to schedule compaction every 6 hours,
#                           if the freesize/disksize > 60%. NOTICE:compact-interval is prior than compact-cron;
#compact-interval :
 
# server-id for hub
server-id : 1
 
###################
## Critical Settings
###################
# write_binlog  [yes | no]
write-binlog : yes
# binlog file size: default is 100M,  limited in [1K, 2G]
binlog-file-size : 104857600
# Automatically triggers a small compaction according statistics
# Use the cache to store up to 'max-cache-statistic-keys' keys
# if 'max-cache-statistic-keys' set to '0', that means turn off the statistics function
# it also doesn't automatically trigger a small compact feature
max-cache-statistic-keys : 0
# When 'delete' or 'overwrite' a specific multi-data structure key 'small-compaction-threshold' times,
# a small compact is triggered automatically, default is 5000, limited in [1, 100000]
small-compaction-threshold : 5000
# If the total size of all live memtables of all the DBs exceeds
# the limit, a flush will be triggered in the next DB to which the next write
# is issued.
max-write-buffer-size :  10737418240
# Compression
compression : snappy
# max-background-flushes: default is 1, limited in [1, 4]
max-background-flushes : 1
# max-background-compactions: default is 2, limited in [1, 8]
max-background-compactions : 2
# max-cache-files default is 5000
max-cache-files : 5000
# max_bytes_for_level_multiplier: default is 10, you can change it to 5
max-bytes-for-level-multiplier : 10
# BlockBasedTable block_size, default 4k
# block-size: 4096
# block LRU cache, default 8M, 0 to disable
# block-cache: 8388608
# whether the block cache is shared among the RocksDB instances, default is per CF
# share-block-cache: no
# whether or not index and filter blocks is stored in block cache
# cache-index-and-filter-blocks: no
# when set to yes, bloomfilter of the last level will not be built
# optimize-filters-for-hits: no
# https://github.com/facebook/rocksdb/wiki/Leveled-Compaction#levels-target-size
# level-compaction-dynamic-level-bytes: no

8.目录结构如下:

Top
 |--->bin
 |--->conf
 |--->tool
pika.conf.template
run-app.sh

mgo慢查2

1)如果只是查看,可以直接登录mongodb,查询

mongo -authenticationDatabase admin -u ksc_admin -p xxxx –authenticationMechanism SCRAM-SHA-1

>use local

> db.oplog.rs.find({ ts : { $lt : Timestamp(1546401000, 1), $gt : Timestamp(1546399200, 1) } })

其中Timestamp是时间戳,与日期时间格式转化可以使用 https://tool.lu/timestamp

2)提取到文件,json格式

编辑一个.js文件如下:

vi aa.js

var c = db.oplog.rs.find({ ts : { $lt : Timestamp(1546401000, 1), $gt : Timestamp(1546399200, 1) } })
while(c.hasNext()) {
printjson(c.next());
}

使用mongo shell执行这个文件,结果写到文件result.js

mongo 10.81.5.45:27017/local -authenticationDatabase admin -u ksc_admin -p xxxx –authenticationMechanism SCRAM-SHA-1 aa.js> result.js

这样这段时间产生的oplog就以json格式写到了result.js文件里,可以使用vi查看
提取对应时间段的oplog看看
MongoDB复制集正确的连接方式

mongodb://user:password@host1:port1,host2:port2/database?authSource=admin[&option1][&option2][&option3]…
举例如下:
mongodb://username:password@10.0.0.1:27017,10.0.0.2:27017/dbname?authSource=admin&replicaSet=”xxxxxxxxxxxxxxxxxxx”&readPreference=secondaryPreferred

username:password –用户名,密码
host:port需要把主从都写上,用逗号隔开 都写上、都写上、都写上
dbname: 数据库名
authSource=admin 通过admin库对登录的用户名和密码进行认证

可选项:
replicaSet=”xxxxxxxxxxxxxxxxxxx” 复制集的名称,在我们云数据库上指 实例ID, 可以写上
readPreference=secondaryPreferred 设置读写分离

mongodb慢查询

通过 db.system.profile.find() 查看当前所有的慢查询日志,这个需要use db,然后查db下的慢查询

查询当前时间段最慢的一条

db.system.profile.find().limit(1).sort({ millis : -1 }).pretty()

查看最近的一条:

db.system.profile.find().sort({$natural: -1}).limit(1)
查看最老的一条:
db.system.profile.find().sort({$natural: 1}).limit(1)
查询某个时间段的慢查询

切换到对应的数据库下:

var c = db.system.profile.find({ ts : { $gt : ISODate(“2019-02-15T00:00:00.197Z”), $lt : ISODate(“2019-02-23T08:43:02.197Z”) } })
while(c.hasNext()) {
printjson(c.next());
}

sparksql的操作实践

KMR
1.登录KMR
2.切换致spark帐号【su – spark】
3.进入spark-shell的命令行操作界面

spark-shell --master=yarn

4.常见命令如下

spark.sql("create external table bhabc(`userid` bigint,`id` int,`date` string,`count` bigint,`opcnt` int,`start` int,`end` int) partitioned by (dt string) row format delimited fields terminated by ','  stored as sequencefile location '/data/behavior/bh_abc_dev'").show
spark.sql("show tables").show
spark.sql("show databases").show
spark.sql("show tables").show
spark.sql("show partitions bhwps").show
spark.sql("alter table bhwps add partition(dt='2019-05-21')").show
spark.sql("select * from bhwps where dt between '2019-05-15' and '2019-05-31' order by `count` desc").show
spark.sql("alter table bhwps add partition(dt='2019-06-22') partition(dt='2019-06-23')").show增加多个分区
spark.sql("msck repair table bhwps").show 修复分区就是重新同步hdfs上的分区信息。
spark.sql("show partitions bhraw").show(100,false) 可以显示超过20个记录。

5.常见问题:
》目录权限问题
可以用hdfs dfs -chown -r /path来修改目录权限。

清理垃圾桶
hdfs dfs -expunge

普通用户也可重启nginx

1.修改nginx.conf为abc:root启动

  user  abc abc;  #以普通用户启,但实际上是master为root,worker进程是abc。
或 
  user abc root;

2.修改nginx

chown root nginx #nginx必须是root用户拥有者。
chmod a+s nginx  #把x属性改为s属性。
ll nginx
-rwsr-sr-x 1 root root 2030760 Mar  5 11:52 nginx

阿里云Docker私人专属镜像加速

vim /etc/docker/daemon.json

https://cr.console.aliyun.com/cn-hangzhou/instances/mirrors

{
“bip”:”192.168.55.1/24″,
“registry-mirrors”: [“https://2na48vbddcw.mirror.aliyuncs.com”]
}

把我常用的字母移除到只有8个字母。
sudo systemctl daemon-reload
sudo systemctl restart docker