根据MySQL批量生成DataX配置文件和Hive建表语句
DataX使用json文件进行任务的配置，然而，很多地方都需要指定columns属性，如果需要接入一个有着几百张表的数据库，想想就头大啊，那么我们试着将生成配置文件的步骤自动化起来
准备环境
安装MySQL-python
验证是否已安装
将如下内容保存为python文件，然后运行
#! /usr/bin/python # -*- coding:utf-8 -*- import MySQLdb
如果提示“No module named MySQLdb”，意味着你没有安装 MySQLdb 模块
[root@dx3 src]# ./generateDataXConf.py Traceback (most recent call last): File "./generateDataXConf.py", line 3, in <module> import MySQLdb ImportError: No module named MySQLdb
安装MySQL-python
pip install MySQL-python
写工具
代码
我们以mysqlreader->hdfswriter为例
#! /usr/bin/python
# -*- coding:utf-8 -*-
import MySQLdb
import json
import sys
import os
from optparse import OptionParser
from optparse import OptionGroup
def convertType(orignalType):
'''
将MySQL的字段类型转换为Hive的字段类型
:param orignalType: MySQL的字段类型
:return:Hive的字段类型
'''
destType = None
# 数值型
if orignalType.startswith("tinyint"):
destType = "TINYINT"
elif orignalType.startswith("smallint"):
destType = "SMALLINT"
elif orignalType.startswith("mediumint"):
destType = "INT"
elif orignalType.startswith("int"):
destType = "INT"
elif orignalType.startswith("bigint"):
destType = "BIGINT"
elif orignalType.startswith("float"):
destType = "FLOAT"
elif orignalType.startswith("double"):
destType = "DOUBLE"
elif orignalType.startswith("numeric"):
destType = "DOUBLE"
# 字符串
elif orignalType.startswith("char"):
destType = "STRING"
elif orignalType.startswith("varchar"):
destType = "STRING"
elif orignalType.startswith("tinytext"):
destType = "STRING"
elif orignalType.startswith("text"):
destType = "STRING"
elif orignalType.startswith("mediumtext"):
destType = "STRING"
elif orignalType.startswith("longtext"):
destType = "STRING"
# 日期时间类型
elif orignalType.startswith("date"):
destType = "DATE"
elif orignalType.startswith("time"):
destType = "DATE"
elif orignalType.startswith("year"):
destType = "DATE"
elif orignalType.startswith("datetime"):
destType = "DATE"
elif orignalType.startswith("timestamp"):
destType = "TIMESTAMP"
else:
destType = "UNSUPPORTED"
print "未匹配到合适的类型:%s" % orignalType
return destType
def listTables(db):
'''
列出指定MySQL库下所有表
:param db: 数据库连接
:return: 表列表
'''
sql = "SHOW TABLES;"
tables = []
try:
cursor = db.cursor()
cursor.execute(sql)
results = cursor.fetchall()
for row in results:
table = row[0]
tables.append(table)
except Exception, e:
print e
return tables
def getColumns(db, table):
'''
生成Reader和Writer对应的Columns属性
:param db:数据库连接
:param table: 表名
:return: tuple(mysqlreder的columns和hdfswriter的columns)
'''
sql = "DESC " + table
hdfsColumns = []
mysqlColumns = []
try:
cursor = db.cursor()
cursor.execute(sql)
results = cursor.fetchall()
for row in results:
field = row[0]
type = row[1]
is_null = row[2]
print "field:%s, type:%s, is_null:%s" %(field, type, is_null)
column = {}
column['name'] = field
column_type = convertType(type)
if column_type == "UNSUPPORTED":
print "不支持字段:%s的类型：%s" % (field, type)
continue
else:
column['type'] = column_type
hdfsColumns.append(column)
mysqlColumns.append(field)
except Exception, e:
print e
return mysqlColumns,hdfsColumns
def generateJobConfig(mysqlColumns, hdfsColumns, table, fields):
'''
生成job配置对象
:param mysqlColumns: mysqlreder的columns
:param hdfsColumns: hdfswriter的columns
:param table: 表名
:param fields: 属性字典
:return:job配置对象
'''
jobTemplate={
"job": {
"content": [
{
"reader": {
"name": "mysqlreader",
"parameter": {
"column": [],
"connection": [
{
"jdbcUrl": [],
"table": []
}
],
"password": "",
"username": "",
"where": "${where}"
}
},
"writer": {
"name": "hdfswriter",
"parameter": {
"column": [],
"defaultFS": "hdfs://ns1",
"hadoopConfig":{
"dfs.nameservices": "ns1",
"dfs.ha.namenodes.ns1": "namenode326,namenode418",
"dfs.namenode.rpc-address.ns1.namenode326": "nn1.cxy7.com:8020",
"dfs.namenode.rpc-address.ns1.namenode418": "nn2.cxy7.com:8020",
"dfs.client.failover.proxy.provider.ns1": "org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider"
},
"coreSite": "/usr/local/hadoop/etc/hadoop/core-site.xml",
"hdfsSite": "/usr/local/hadoop/etc/hadoop/hdfs-site.xml",
"compress": "",
"defaultFS": "",
"fieldDelimiter": "",
"fileName": "",
"fileType": "",
"path": "",
"writeMode": ""
}
}
}
],
"setting": {
"speed": {
"channel": ""
}
},
"core": {
"transport":{
"channel": {
"speed":{
"record":"1000"
}
}
}
}
}
}
# mysqlreader
readerParameter = jobTemplate['job']['content'][0]['reader']['parameter']
readerParameter['column'] = mysqlColumns
readerParameter['username'] = fields['user']
readerParameter['password'] = fields['password']
readerParameter['connection'][0]['table'].append(table)
url = "jdbc:mysql://%s:%d/%s" % (fields['host'], int(fields['port']), fields['db'])
readerParameter['connection'][0]['jdbcUrl'].append(url)
# hdfswriter
writerParameter = jobTemplate['job']['content'][0]['writer']['parameter']
writerParameter['column'] = hdfsColumns
writerParameter['compress'] = fields['compress']
writerParameter['defaultFS'] = fields['defaultFS']
writerParameter['fieldDelimiter'] = fields['fieldDelimiter']
writerParameter['fileName'] = table
writerParameter['fileType'] = fields['fileType']
writerParameter['path'] = fields['path'] + '/' + table
writerParameter['writeMode'] = fields['writeMode']
jobTemplate['job']['setting']['speed']['channel'] = fields['channel']
return jobTemplate
def generateHiveDDL(table, hdfsColumns, fields):
'''
生成Hive建表语句
:param table:mysql表名
:param hdfsColumns:hdfswriter的columns
:param fields:属性字典
:return:Hive建表语句
'''
sql = "CREATE EXTERNAL TABLE " + table + '('
for column in hdfsColumns:
sql += '`%s` %s,' % (column['name'], column['type'])
sql = sql[0:len(sql) - 1]
sql += ') '
sql += 'PARTITIONED BY ('
sql += '`dt` string) '
sql += 'STORED AS %s ' % fields['fileType']
sql += "LOCATION 'hdfs://ns1%s/%s'" % (fields['path'], table)
print sql
return sql
def generateJson(db, table, fields):
'''
为表生成配置对象和Hive建表语句，并导出到文件
:param db:数据库连接
:param table:表名
:param fields:属性字典
:return:
'''
mysqlColumns, hdfsColumns = getColumns(db, table)
jobConf = generateJobConfig(mysqlColumns, hdfsColumns, table, fields)
sql = generateHiveDDL(table, hdfsColumns, fields)
if fields.get('output'):
if (not os.path.exists(fields['output'])):
os.mkdir(fields['output'])
# 导出配置文件
filePath = '%s/%s.json' % (fields['output'], table);
print "dump to %s" % filePath
file = open(filePath, 'w')
json.dump(jobConf, file, indent=4, sort_keys=False)
# print json.dumps(jobConf, indent=4, sort_keys=False)
# 导出Hive建表语句
sqlPath = '%s/%s.sql' % (fields['output'], table);
file = open(sqlPath, 'w')
print 'export sql to %s' % sqlPath
file.write(sql)
file.close()
if __name__ == "__main__":
usage = "Usage: %prog [options] mysqlreader and hdfswriter config"
parser = OptionParser(usage=usage)
dbGroup = OptionGroup(parser, "MySQL Config", "...")
dbGroup.add_option('-H', '--host', help='mysql host')
dbGroup.add_option('-P', '--port', default="3306", help='mysql port')
dbGroup.add_option('-u', '--user', default="root", help='mysql username')
dbGroup.add_option('-p', '--password', help='mysql password')
dbGroup.add_option('-D', '--db', help="mysql db")
dbGroup.add_option('-T', '--table', help=u"mysql table,如果不指定，表示为整个库的所有表生成配置文件")
parser.add_option_group(dbGroup)
hdfsGroup = OptionGroup(parser, "HDFS Config", '...')
hdfsGroup.add_option('--compress', default="NONE", help=u"压缩选项")
hdfsGroup.add_option('--defaultFS', default="\t", help="HDFS")
hdfsGroup.add_option('--fieldDelimiter', default="\t", help=u"字段分隔符")
hdfsGroup.add_option('--fileType', default="TEXT", help=u"输出文件类型")
hdfsGroup.add_option('--writeMode', default="append", help=u"写模式")
hdfsGroup.add_option('--path', default="/tmp", help=u"HDFS目录")
hdfsGroup.add_option('--channel', default="2", help=u"限速选项")
hdfsGroup.add_option('-o', '--output', default="/tmp", help=u"输出的文件路径")
parser.add_option_group(hdfsGroup)
options, args = parser.parse_args(sys.argv[1:])
fields = {}
for fieldName in dir(options):
if fieldName.find('_') == -1:
field = getattr(options, fieldName)
if not field:
if fieldName in ['table', 'output']:
# 可选字段
continue
print "field:(%s) can't be None" % fieldName
parser.print_help()
sys.exit(-1)
else:
fields[fieldName] = field
db = MySQLdb.connect(options.host, options.user, options.password, options.db, int(options.port))
if fields.get('table'):
generateJson(db, fields['table'], fields)
else:
# 如果没有指定表名，则为该库下所有表生成配置文件
tables = listTables(db)
for table in tables:
generateJson(db, table, fields)
db.close运行一下
Usage
可能遇到的问题
mysql_config not found
[root@h98 src]# pip install MySQL-python
Collecting MySQL-python
Downloading http://mirrors.aliyun.com/pypi/packages/a5/e9/51b544da85a36a68debe7a7091f068d802fc515a3a202652828c73453cad/MySQL-python-1.2.5.zip (108kB)
100% |████████████████████████████████| 112kB 2.5MB/s
Complete output from command python setup.py egg_info:
sh: mysql_config: command not found
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-build-S6R7N7/MySQL-python/setup.py", line 17, in <module>
metadata, options = get_config()
File "setup_posix.py", line 43, in get_config
libs = mysql_config("libs_r")
File "setup_posix.py", line 25, in mysql_config
raise EnvironmentError("%s not found" % (mysql_config.path,))
EnvironmentError: mysql_config not found
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-S6R7N7/MySQL-python/解决办法
yum install mysql-devel
读后有收获可以支付宝请作者喝咖啡
