mysql-Synch-clickhouse

Synch

GitHub - long2ice/synch: Sync data from the other DB to ClickHouse(cluster)

环境:

|-------------------|---------------|----------------|------------|---------|
| mysql5.7 | redis >= 5.0 | clickhouse21.2 | postgresql | python3 |
| binlog_format=row | XREAD | default | pg_config | synch |

1:安装clickhouse

rpm下载地址:

https://repo.yandex.ru/clickhouse/rpm/stable/x86_6![](https://file.jishuzhan.net/article/1763831574643609601/d979cadf7dd424195454658dc417b98f.webp)

安装:rpm -ivh ./*.rpm

配置:

/etc/clickhouse-server/config.xml

/etc/clickhouse-server/users.xml

服务:

systemctl start clickhouse-server

客户端:

clickhouse-client

2:安装Python3

系统默认: Python 2.7.5
安装:pip
yum -y install epel-release
yum install python-pip
pip --version

下载安装

wget https://www.python.org/ftp/python/3.7.0/Python-3.7.0.tar.xz

cd Python-3.7.0

./configure --prefix=/usr/local/python3 --enable-shared --enable-optimizations

make
make install

环境变量

/etc/profile
export PYTHON_HOME=/usr/local/python3
export PATH=PYTHON_HOME/bin:PATH

异常及处理:
/usr/local/python3/bin/python3.7: error while loading shared libraries: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory

将python库的路径写到/etc/ld.so.conf配置中
vim /etc/ld.so.conf.d/python3.conf

/usr/local/python3/lib

ldconfig

升级pip

3:安装synch

pip3 install synch

安装异常:

需要安装:PostgreSQL,
yum install -y https://download.postgresql.org/pub/repos/yum/reporpms/EL-7-x86_64/pgdg-redhat-repo-latest.noarch.rpm
yum install -y postgresql13-server

yum install postgresql-devel
psql --version

配置环境变量:
/usr/pgsql-13/bin/pg_config
export PATH=$PATH:/usr/pgsql-13/bin

安装成功:
查看synch
配置synch.yaml
core:
  debug: true # when set True, will display sql information.
  insert_num: 1 # how many num to submit,recommend set 20000 when production
  insert_interval: 1 # how many seconds to submit,recommend set 60 when production
  # enable this will auto create database `synch` in ClickHouse and insert monitor data
  monitoring: true

sentry:
  environment: development
  dsn:

redis:
  host: 127.0.0.1
  port: 6379
  db: 0
  password:
  prefix: synch
  queue_max_len: 200000 # stream max len, will delete redundant ones with FIFO

source_dbs:
  - db_type: mysql
    alias: mysql_db # must be unique
    broker_type: redis # current support redis and kafka
    server_id: 3
    host: 127.0.0.1
    port: 3306
    user: root
    password: "123456"
    # optional, auto get from `show master status` when empty
    init_binlog_file:
    # optional, auto get from `show master status` when empty
    init_binlog_pos:
    skip_dmls: alert # dmls to skip
    skip_delete_tables: # tables skip delete, format with schema.table
    skip_update_tables: # tables skip update, format with schema.table
    databases:
      - database: crm
        # optional, default true, auto create database when database in clickhouse not exists
        auto_create: true
        tables:
          - table: user_log
            # optional, default false, if your table has decimal column with nullable, there is a bug with full data etl will, see https://github.com/ClickHouse/ClickHouse/issues/7690.
            skip_decimal: false # set it true will replace decimal with string type.
            # optional, default true
            auto_full_etl: true # auto do full etl at first when table not exists
            # optional, default ReplacingMergeTree
            clickhouse_engine: ReplacingMergeTree # current support MergeTree, CollapsingMergeTree, VersionedCollapsingMergeTree, ReplacingMergeTree
            # optional
            partition_by: # Table create partitioning by, like toYYYYMM(created_at).
            # optional
            settings: # Table create settings, like index_granularity=8192
            # optional
            sign_column: sign # need when clickhouse_engine=CollapsingMergeTree and VersionedCollapsingMergeTree, no need real in source db, will auto generate in clickhouse
            # optional
            version_column: # need when clickhouse_engine=VersionedCollapsingMergeTree and ReplacingMergeTree(optional), need real in source db, usually is `updated_at` with auto update.
          - table: deptinfo
          - table: user

clickhouse:
  hosts:
    - 127.0.0.1:9000
  user: default
  password: ''
  cluster_name: #perftest_3shards_1replicas
  distributed_suffix: ###_all # distributed tables suffix, available in cluster

#kafka:
#  servers:
#    - kafka:9092
#  topic_prefix: synch

# enable this to send error report, comment or delete these if not.
mail:
  mailhost: smtp.gmail.com
  fromaddr: long2ice@gmail.com
  toaddrs:
    - long2ice@gmail.com
  user: long2ice@gmail.com
  password: "123456"
  subject: "[synch] Error logging report"

4:测试

1:create 。。 if not exists

synch -c /etc/synch.yaml --alias mysql_db etl --schema crm --table user

2:生产

监听源库并将变动数据写入消息队列。
synch --alias mysql_db produce

3:消费

从消息队列中消费数据并插入 ClickHouse,使用 --skip-error跳过错误消息。 配置 auto_full_etl = True 的时候会首先尝试做一次全量复制。
消费数据库 crm 并插入到ClickHouse
synch --alias mysql_db consume --schema crm

5:安装supervisord守护进程

yum install supervisor

配置
[program:mysql-to-ck-produce]
process_name=%(program_name)s
command=/usr/local/python3/bin/synch -c /etc/synch.yaml --alias mysql_db produce
autostart=true
autorestart=true
redirect_stderr=true
stdout_logfile=/var/log/supervisor/%(program_name)s.log
stdout_logfile_maxbytes=2048MB
stdout_logfile_backups=20
stopwaitsecs=3600

[program:mysql-to-ck-consume-crm]
process_name=%(program_name)s
command=/usr/local/python3/bin/synch -c /etc/synch.yaml --alias mysql_db consume --schema crm
autostart=true
autorestart=true
redirect_stderr=true
stdout_logfile=/var/log/supervisor/%(program_name)s.log
stdout_logfile_maxbytes=2048MB
stdout_logfile_backups=20
stopwaitsecs=3600
服务:

systemctl restart supervisord

日志:

/var/log/supervisor
mysql-to-ck-consume-crm.log mysql-to-ck-produce.log supervisord.log

相关推荐
hai4117419624 分钟前
mysql 与postgresql 的区别(gpt4)
数据库·mysql·postgresql
知识分享小能手14 分钟前
mysql学习教程,从入门到精通,SQL 删除数据(DELETE 语句)(19)
大数据·开发语言·数据库·sql·学习·mysql·数据开发
白总Server29 分钟前
MongoDB解说
开发语言·数据库·后端·mongodb·golang·rust·php
冰镇毛衣35 分钟前
2.4 数据库表字段约束
数据库·sql·mysql
&木头人&41 分钟前
oracle select字段有子查询会每次执行子查询吗
数据库·oracle
冰镇毛衣41 分钟前
数据库简介
开发语言·数据库·sql·oracle
(⊙o⊙)~哦42 分钟前
oracle查询历史操作记录
数据库·oracle
无休居士1 小时前
【实践】应用访问Redis突然超时怎么处理?
数据库·redis·缓存
M-bao1 小时前
缓存数据和数据库数据一致性问题
数据库·缓存
不二师妹1 小时前
硬盘数据恢复必备:4 款强大硬盘数据恢复软件推荐!
数据库·数据恢复·数据恢复软件·硬盘数据恢复·文件找回·恢复大师