datax实现MySQL数据库迁移shell自动化脚本

datax实现MySQL数据库迁移

（1）生成python脚本

bash 复制代码

# coding=utf-8
import json
import getopt
import os
import sys
import MySQLdb

#MySQL相关配置，需根据实际情况作出修改
mysql_host = "xxxx"
mysql_port = "3306"
mysql_user = "xxxx"
mysql_passwd = "xxxx"

# MYSQL Destination
dest_mysql_host = "xxxx"
dest_mysql_port = "3306"
dest_mysql_user = "xxxx"
dest_mysql_passwd = "xxxx"

#生成配置文件的目标路径，可根据实际情况作出修改
output_path = "/opt/module/datax/job/import/databaseName"


def get_connection():
    return MySQLdb.connect(host=mysql_host, port=int(mysql_port), user=mysql_user, passwd=mysql_passwd)


def get_mysql_meta(database, table):
    connection = get_connection()
    cursor = connection.cursor()
    sql = "SELECT COLUMN_NAME,DATA_TYPE from information_schema.COLUMNS WHERE TABLE_SCHEMA=%s AND TABLE_NAME=%s ORDER BY ORDINAL_POSITION"
    cursor.execute(sql, [database, table])
    fetchall = cursor.fetchall()
    cursor.close()
    connection.close()
    return fetchall


def get_mysql_columns(database, table):
    return map(lambda x: x[0], get_mysql_meta(database, table))


def get_hive_columns(database, table):
    def type_mapping(mysql_type):
        mappings = {
            "bigint": "bigint",
            "int": "bigint",
            "smallint": "bigint",
            "tinyint": "bigint",
            "mediumint": "bigint",
            "decimal": "string",
            "double": "double",
            "float": "float",
            "binary": "string",
            "char": "string",
            "varchar": "string",
            "datetime": "string",
            "time": "string",
            "timestamp": "string",
            "date": "string",
            "text": "string"
        }
        return mappings[mysql_type]

    meta = get_mysql_meta(database, table)
    return map(lambda x: {"name": x[0], "type": type_mapping(x[1].lower())}, meta)


def generate_json(source_database, source_table):
    job = {
        "job": {
            "setting": {
                "speed": {
                    "channel": 15
                },
                "errorLimit": {
                    "record": 0,
                    "percentage": 0.02
                }
            },
            "content": [{
                "reader": {
                    "name": "mysqlreader",
                    "batchSize": "8192",
                    "batchByteSize": "33554432",
                    "parameter": {
                        "username": mysql_user,
                        "password": mysql_passwd,
                        "column": get_mysql_columns(source_database, source_table),
                        "splitPk": "",
                        "connection": [{
                            "table": [source_table],
                            "jdbcUrl": ["jdbc:mysql://" + mysql_host + ":" + mysql_port + "/" + source_database+"?userCompress=true&useCursorFetch=true&useUnicode=true&characterEncoding=utf-8&useSSL=false"]
                        }]
                    }
                },
                "writer": {
                    "name": "mysqlwriter",
                    "batchSize": "8192",
                    "batchByteSize": "33554432",
                    "parameter": {
                        "writeMode": "replace",
                        "username": dest_mysql_user,
                        "password": dest_mysql_passwd,
                        "column": get_mysql_columns(source_database, source_table),
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:mysql://"+dest_mysql_host+":"+dest_mysql_port+ "/" + source_database + "?userCompress=true&useCursorFetch=true&useUnicode=true&characterEncoding=utf-8&useSSL=false",
                                "table": [source_table],
                            }
                        ]
                    }
                },
                "transformer": [

                        {
                          "name": "dx_groovy",
                          "parameter": {
                            "code": "for(int i=0;i<record.getColumnNumber();i++){if(record.getColumn(i).getByteSize()!=0){Column column = record.getColumn(i); def str = column.asString(); def newStr=null; newStr=str.replaceAll(\"[\\r\\n]\",\"\"); record.setColumn(i, new StringColumn(newStr)); };};return record;",
                            "extraPackage":[]
                          }
                        }
                      ]
            }]
        }
    }
    if not os.path.exists(output_path):
        os.makedirs(output_path)
    with open(os.path.join(output_path, ".".join([source_database, source_table, "json"])), "w") as f:
        json.dump(job, f)

def main(args):
    source_database = ""
    source_table = ""

    options, arguments = getopt.getopt(args, '-d:-t:', ['sourcedb=', 'sourcetbl='])
    for opt_name, opt_value in options:
        if opt_name in ('-d', '--sourcedb'):
            source_database = opt_value
        if opt_name in ('-t', '--sourcetbl'):
            source_table = opt_value

    generate_json(source_database, source_table)


if __name__ == '__main__':
    main(sys.argv[1:])

sh脚本

bash 复制代码

#!/bin/bash
python ~/bin/new_lms_mysql_gen_import_config.py -d database -t table

mysq到mysql脚本

bash 复制代码

#! /bin/bash
case $1 in
"course_groups")
  python /opt/module/datax/bin/datax.py /opt/module/datax/job/import/database/database.table.json
;;
  "all")
  python /opt/module/datax/bin/datax.py /opt/module/datax/job/import/database/database.table.json
 ;;
esac