Mongodb同步实时数据到Tidb

架构图

1.Go环境安装

yum install golang golang-bin golang-src  –y

 

2.mongo-shake安装

直接下载最新的mongo-shake安装包不用编译

开源下载地址

https://github.com/alibaba/MongoShake?spm=a2c4e.10696291.0.0.316619a4JXuDrN

二进制版本下载地址

https://github.com/alibaba/MongoShake/releases

 

下载mongo-shake-v2.4.16.tar.gz

cd /home/gocode/

tar –zxvf mongo-shake-v2.4.16.tar.gz

mv mongo-shake-v2.4.16 mongo-shake

cd mongo-shake

更改配置vim collector.conf

 

mongo_urls = mongodb://user:password@x.x.x.x:0000,x.x.x.x:0000

tunnel = kafka

tunnel.address = testGroup1@x.x.x.x:0000,x.x.x.x:0000,x.x.x.x:0000

tunnel.message = json

incr_sync.mongo_fetch_method = oplog

#黑白名单设置

filter.namespace.black =

#filter.namespace.white = test1215

 

启动

nohup ./start.sh collector.conf > nohup.log 2>&1 &

 

3. 从kafka获取数据存入Tidb

#Python脚本

#!/usr/bin/env python

# -*- coding:utf-8 -*-

from kafka import KafkaConsumer

import pymysql

import json

import time

import logging

import datetime

import os

import sys

#写日志

logging.basicConfig(level=logging.INFO,

                    format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',

                    datefmt='%Y/%m/%d %H:%M:%S',

                    filename='log_tracking.log',

                    filemode='a')

def writeErrorLog(errSrc, errType, errMsg):

    """

    ERROR日志

    :param errSrc:

    :param errType:

    :param errMsg:

    :return:

    """

    try:

        v_log_file = 'err_tracking.log'

        v_file = open(v_log_file, 'a')

        v_file.write(datetime.datetime.strftime(datetime.datetime.now(),"%Y-%m-%d %H:%M:%S") + " - " + errSrc + " - " + errType +" : " + errMsg + '\n')

        v_file.flush()

    except Exception as data:

        v_err_file = open('err_tracking.log', 'a')

        v_err_file.write(str(data) + '\n')

        v_err_file.write(datetime.datetime.strftime(datetime.datetime.now(), "%Y-%m-%d %H:%M:%S") + " - " + errSrc + " - " + errType + " : " + errMsg + '\n')

        v_err_file.flush()

        v_err_file.close()

    finally:

        v_file.close()

class KafkaPython:

    consumer = server = topic =  None

    TOPIC   = 'testGroup1'

    BROKER_LIST = 'x.x.x.x:0000'

    DB_USER = 'user'

    DB_PASS = 'password'

    DB_NAME = 'test'

    DB_PORT = 0000

    DB_IP = 'x.x.x.x'

    DB_OPT = {'i':'insert', 'u':'update', 'd':'delete'}

    def __init__(self):

        print("init kafka consumer")

        self.server = self.BROKER_LIST

        self.topic  = self.TOPIC

        print("init mysql client")

        self.db = pymysql.connect(self.DB_IP, self.DB_USER,

                                  self.DB_PASS, self.DB_NAME, port=self.DB_PORT)

        self.cursor = self.db.cursor()

    def __del__(self):

        print("end")

    def getConnect(self):

        self.consumer = KafkaConsumer(self.topic, bootstrap_servers = self.server,enable_auto_commit=False,auto_offset_reset='smallest',group_id='testGroup1')

    def execSQL(self, sql):

        rows = self.cursor.execute(sql)

        # print sql

        if rows > 0:

            self.db.commit()

        return rows

    def beginConsumer(self):

        for oneLog in self.consumer:

            mlog = json.loads(oneLog.value)

            if mlog is not None:

                self.getDesc(mlog)

    def getDesc(self, mlog):

        try:

            desc = {}

            data = {}

            desc['operation'] = mlog['op']

            desc['namespace'] = mlog['ns']

            desc['timestamp'] = mlog['ts']

            for o in mlog['o']:

                data[o['Name']]=o['Value']

            desc['o2'] = mlog['o2']

            desc['data'] = data

            sql = self.ruleRoute(desc, data)

            logging.info(('execute sql is %s' % (sql,)))

            ret = self.execSQL(sql)

            self.consumer.commit()

            dt = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))

            logging.info('%s %s %s rows' % (dt, self.DB_OPT[desc['operation']], ret))

        except Exception as data:

            writeErrorLog('_do', 'exce data Error', str(data))

    def ruleRoute(self, desc, data):

        if desc['operation'] not in self.DB_OPT.keys():

            return

        if desc['operation'] == 'i':

            desc['_id'] = data['_id']

            return self.stmtIns(desc)

        elif desc['operation'] == 'u':

            desc['_id'] = desc['o2']['_id']

            return self.stmtUpd(desc)

        else:

            desc['_id'] = data['_id']

            return self.stmtDel(desc)

    def stmtIns(self, desc):

        mtbl = desc['namespace']

        data = desc['data']

        mid = desc['_id']

        #mts = desc['timestamp']

        data.pop('_id')

        #data.pop('timestamp')

        mlist = data.keys()

        vlist = data.values()

        mlist = mtbl + '(%s,%s)' % ('_id',','.join(mlist))

        clist = "('%s', " % (mid)

        if len(vlist)<1:

            return

        for val in vlist:

            if type(val).__name__ == 'unicode':

                clist += "'%s', " % val

            elif type(val).__name__ == 'dict':

                clist += "'%s', " % json.dumps(val)

            elif type(val).__name__ == 'str':

                clist += "'%s', " % val

            else:

                clist += "%s, " % val

        clist = clist[:-2] + ")"

        sql = "insert into %s values %s" % (mlist, clist)

        # print 'insert stmt: ',sql

        return sql

    def stmtUpd(self, desc):

        mtbl = desc['namespace']

        data = desc['data']

        mid = desc['_id']

        mts = desc['timestamp']

        stmt = []

        for k, v in data.items():

            if k != '$set':

                continue;

            print('item is :'+str(v))

            for item in v:

                col,val = item.values()

                print(col+''+val)

                if type(val).__name__ == 'unicode':

                    ln = "%s = '%s'" % (col, val)

                elif type(val).__name__ == 'dict':

                    ln = "%s = '%s'" % (col, json.dumps(val))

                elif type(val).__name__ == 'str':

                    ln = "%s = '%s'" % (col, val)

                else:

                    ln = "%s = %s" % (col, val)

                stmt.append(ln)

        col = ','.join(stmt)

        sql = "update %s set %s where _id = '%s'" % (mtbl, col, mid)

        # print 'update stmt: ',sql

        return sql

    def stmtDel(self, desc):

        mtbl = desc['namespace']

        mid = desc['_id']

        mts = desc['timestamp']

        sql = "delete from %s where _id = '%s' " % (mtbl, mid)

        # print 'delete stmt: ',sql

        return sql

    #关闭数据库

    def _release_db(self):

        self.cursor.close()

    #退出消费消息

    def _exit_consumer(self):

        self._release_db()

        sys.exit()

    def disConnect(self):

        self.consumer.close()

if __name__ == '__main__':

    kp = KafkaPython()

    kp.getConnect()

kp.beginConsumer()

运行

nohup python3 -u ./kafkaTomysql.py > nohup.log 2>&1 &

 

3登录mongdb 创建 测试库

use test1215

插入一条数据验证

db.table20201215.insert({"name":"测试案例"});

 

4.查看kafka 数据

#查看生成kafka组

./bin/kafka-topics.sh --bootstrap-server x.x.x.x:0000 –list

 

#查生产数据

./bin/kafka-console-consumer.sh --bootstrap-server x.x.x.x:0000 --topic testGroup1 --from-beginning

 

#查看消费组

./bin/kafka-consumer-groups.sh --bootstrap-server x.x.x.x:0000 –list

查看消费数据

./bin/kafka-consumer-groups.sh --bootstrap-server x.x.x.x:0000 -group testGroup1 –describe

 

5.查看Tidb数据写入情况

 

6.批量写入1W个数据测试

python脚本

#!/usr/bin/env python

# -*- coding:utf-8 -*-

from pymongo import MongoClient

from pymongo import InsertOne

import time

def insert():

#连接数据库

conn = MongoClient('mongodb://user:password@x.x.x.x:0000/admin')

my_db = conn['test1215']

my_collection = my_db['kafka1218']

print(conn)

# 批量写

i = 0

t0 = time.time()

data =[]

while True:

#'_id'为主键，循环时递增，全部添加到data列表内

data.append(InsertOne({"_id":i,"insert_time": int(time.time() * 1)}))

i+=1

#判断列表长度，达到10000执行插入，后继续循环

if len(data) == 10000:

my_collection.bulk_write(data)

res = []

i += 1

continue

#判断i等于1亿时停止循环

elif i == 10000000:

break

 

if __name__ == '__main__':

insert()

 

#mongodb里面写入的数据

 

#kafka 消费信息

#Tidb里面数据（在mongodb里面增删改都会更新到Tidb）