datax(5):改造升级-自动识别py环境，执行datax任务

大家好，又见面了，我是你们的朋友全栈君。

一、 思考

上篇文章已经研究过datax.py文件，产生2个问题：

1. 如果用户不是py2环境（datax默认要求环境）怎么处理；
2. 能不能有一个脚本自动识别用户的py环境，从而执行datax任务

二、效果

在py2或py3下执行下面命令
>python datax.py ../job/job.json

熟悉的配方，熟悉的味道。什么都没有变，但是背后却做了很多事情；

三、改造过程

1 编写py3的datax脚本

共计3个文件

===datax.py文件===
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import sys
import os
import signal
import subprocess
import time
import re
import socket
import json
from optparse import OptionParser
from optparse import OptionGroup
from string import Template
import codecs
import platform
def isWindows():
return platform.system() == 'Windows'
DATAX_HOME = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
# print("DATAX_HOME==="+DATAX_HOME)
DATAX_VERSION = 'DATAX-OPENSOURCE-3.0'
if isWindows():
codecs.register(lambda name: name == 'cp65001' and codecs.lookup('utf-8') or None)
CLASS_PATH = ("%s/lib/*") % (DATAX_HOME)
else:
CLASS_PATH = ("%s/lib/*:.") % (DATAX_HOME)
print("CLASS_PATH===" + CLASS_PATH)
LOGBACK_FILE = ("%s/conf/logback.xml") % (DATAX_HOME)
print("LOGBACK_FILE===" + LOGBACK_FILE)
DEFAULT_JVM = "-Xms1g -Xmx1g -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=%s/log" % (DATAX_HOME)
print("DEFAULT_JVM===" + DEFAULT_JVM)
DEFAULT_PROPERTY_CONF = "-Dfile.encoding=UTF-8 -Dlogback.statusListenerClass=ch.qos.logback.core.status.NopStatusListener -Djava.security.egd=file:///dev/urandom -Ddatax.home=%s -Dlogback.configurationFile=%s" % (
DATAX_HOME, LOGBACK_FILE)
print("DEFAULT_PROPERTY_CONF===" + DEFAULT_PROPERTY_CONF)
ENGINE_COMMAND = "java -server ${jvm} %s -classpath %s ${params} com.alibaba.datax.core.Engine -mode ${mode} -jobid ${jobid} -job ${job}" % (
DEFAULT_PROPERTY_CONF, CLASS_PATH)
print("ENGINE_COMMAND===" + ENGINE_COMMAND)
REMOTE_DEBUG_CONFIG = "-Xdebug -Xrunjdwp:transport=dt_socket,server=y,address=9999"
print("REMOTE_DEBUG_CONFIG===" + REMOTE_DEBUG_CONFIG)
RET_STATE = { 

"KILL": 143,
"FAIL": -1,
"OK": 0, #无错误退出 不传参数时，默认传0
"RUN": 1, #有错误退出
"RETRY": 2
}
# 获取本地ip
def getLocalIp():
try:
return socket.gethostbyname(socket.getfqdn(socket.gethostname()))
except:
return "Unknown"
# 自杀（自己停止程序）
def suicide(signum):
global child_process
print >> sys.stderr, "[Error] DataX receive unexpected signal %d, starts to suicide." % (signum)
if child_process:
child_process.send_signal(signal.SIGQUIT)
time.sleep(1)
child_process.kill()
print >> sys.stderr, "DataX Process was killed ! you did ?"
sys.exit(RET_STATE["KILL"])
def register_signal():
if not isWindows():
global child_process
signal.signal(2, suicide)
signal.signal(3, suicide)
signal.signal(15, suicide)
# 获取选项解析器
def getOptionParser():
usage = "usage: %prog [options] job-url-or-path"
parser = OptionParser(usage)  # 定义解析器
# 生产环境 配置组
prodEnvOptionGroup = OptionGroup(parser, "Product Env Options",
"Normal user use these options to set jvm parameters, job runtime mode etc. "
"Make sure these options can be used in Product Env.")
prodEnvOptionGroup.add_option("-j", "--jvm", metavar="<jvm parameters>", dest="jvmParameters", action="store",
default=DEFAULT_JVM, help="Set jvm parameters if necessary.")
prodEnvOptionGroup.add_option("--jobid", metavar="<job unique id>", dest="jobid", action="store", default="-1",
help="Set job unique id when running by Distribute/Local Mode.")
prodEnvOptionGroup.add_option("-m", "--mode", metavar="<job runtime mode>",
action="store", default="standalone",
help="Set job runtime mode such as: standalone, local, distribute. "
"Default mode is standalone.")
prodEnvOptionGroup.add_option("-p", "--params", metavar="<parameter used in job config>",
action="store", dest="params",
help='Set job parameter, eg: the source tableName you want to set it by command, '
'then you can use like this: -p"-DtableName=your-table-name", '
'if you have mutiple parameters: -p"-DtableName=your-table-name -DcolumnName=your-column-name".'
'Note: you should config in you job tableName with ${tableName}.')
prodEnvOptionGroup.add_option("-r", "--reader", metavar="<parameter used in view job config[reader] template>",
action="store", dest="reader", type="string",
help='View job config[reader] template, eg: mysqlreader,streamreader')
prodEnvOptionGroup.add_option("-w", "--writer", metavar="<parameter used in view job config[writer] template>",
action="store", dest="writer", type="string",
help='View job config[writer] template, eg: mysqlwriter,streamwriter')
# 将“生产环境配置组”添加到 解析器
parser.add_option_group(prodEnvOptionGroup)
# 测试环境 配置组
devEnvOptionGroup = OptionGroup(parser, "Develop/Debug Options",
"Developer use these options to trace more details of DataX.")
devEnvOptionGroup.add_option("-d", "--debug", dest="remoteDebug", action="store_true",
help="Set to remote debug mode.")
devEnvOptionGroup.add_option("--loglevel", metavar="<log level>", dest="loglevel", action="store",
default="info", help="Set log level such as: debug, info, all etc.")
# 将“测试环境配置组”添加到 解析器
parser.add_option_group(devEnvOptionGroup)
return parser
# 生成job配置模板
def generateJobConfigTemplate(reader, writer):
readerRef = "Please refer to the %s document:\n https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n" % (
reader, reader, reader)
writerRef = "Please refer to the %s document:\n https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n " % (
writer, writer, writer)
print("readerRef" + readerRef)
print("writerRef" + writerRef)
jobGuid = 'Please save the following configuration as a json file and use\n python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json \nto run the job.\n'
print("jobGuid" + jobGuid)
jobTemplate = { 

"job": { 

"setting": { 

"speed": { 

"channel": ""
}
},
"content": [
{ 

"reader": { 
},
"writer": { 
}
}
]
}
}
readerTemplatePath = "%s/plugin/reader/%s/plugin_job_template.json" % (DATAX_HOME, reader)
print("readerTemplatePath===" + readerTemplatePath)
writerTemplatePath = "%s/plugin/writer/%s/plugin_job_template.json" % (DATAX_HOME, writer)
print("writerTemplatePath===" + writerTemplatePath)
try:
readerPar = readPluginTemplate(readerTemplatePath)
except Exception as e:
print("Read reader[%s] template error: can\'t find file %s" % (reader, readerTemplatePath))
try:
writerPar = readPluginTemplate(writerTemplatePath)
except Exception as e:
print("Read writer[%s] template error: : can\'t find file %s" % (writer, writerTemplatePath))
jobTemplate['job']['content'][0]['reader'] = readerPar
jobTemplate['job']['content'][0]['writer'] = writerPar
print(json.dumps(jobTemplate, indent=4, sort_keys=True))
# 读取插件模板
def readPluginTemplate(plugin):
with open(plugin, 'r') as f:
return json.load(f)
# 输入路径是否是一个url
def isUrl(path):
if not path:
return False
assert (isinstance(path, str))
m = re.match(r"^http[s]?://\S+\w*", path.lower())
if m:
return True
else:
return False
# 构建启动命令行
def buildStartCommand(options, args):
commandMap = { 
}
tempJVMCommand = DEFAULT_JVM
if options.jvmParameters:
tempJVMCommand = tempJVMCommand + " " + options.jvmParameters
if options.remoteDebug:
tempJVMCommand = tempJVMCommand + " " + REMOTE_DEBUG_CONFIG
print('local ip: ', getLocalIp())
if options.loglevel:
tempJVMCommand = tempJVMCommand + " " + ("-Dloglevel=%s" % (options.loglevel))
if options.mode:
commandMap["mode"] = options.mode
# jobResource 可能是 URL，也可能是本地文件路径（相对,绝对）
jobResource = args[0]
if not isUrl(jobResource):
jobResource = os.path.abspath(jobResource)
if jobResource.lower().startswith("file://"):
jobResource = jobResource[len("file://"):]
jobParams = ("-Dlog.file.name=%s") % (jobResource[-20:].replace('/', '_').replace('.', '_'))
if options.params:
jobParams = jobParams + " " + options.params
if options.jobid:
commandMap["jobid"] = options.jobid
commandMap["jvm"] = tempJVMCommand
commandMap["params"] = jobParams
commandMap["job"] = jobResource
return Template(ENGINE_COMMAND).substitute(**commandMap)
def printCopyright():
print(''' DataX (%s), From Alibaba ! Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved. ''' % DATAX_VERSION)
sys.stdout.flush()
if __name__ == "__main__":
printCopyright()  # 打印版权信息等
parser = getOptionParser()  # 获取解析器，用于解析datax启动命令里的各项参数
options, args = parser.parse_args(sys.argv[1:])
if options.reader is not None and options.writer is not None:
# 如果参数中有reader和 writer 则 构建job json
generateJobConfigTemplate(options.reader, options.writer)
sys.exit(RET_STATE['OK'])
if len(args) != 1:
parser.print_help()
sys.exit(RET_STATE['FAIL'])
startCommand = buildStartCommand(options, args)
print("startCommand===" + startCommand )
child_process = subprocess.Popen(startCommand, True)
register_signal()
(stdout, stderr) = child_process.communicate()
sys.exit(child_process.returncode)

===dxprof.py文件===
#! /usr/bin/env python
# vim: set expandtab tabstop=4 shiftwidth=4 foldmethod=marker nu:
import re
import sys
import time
REG_SQL_WAKE = re.compile(r'Begin\s+to\s+read\s+record\s+by\s+Sql', re.IGNORECASE)
REG_SQL_DONE = re.compile(r'Finished\s+read\s+record\s+by\s+Sql', re.IGNORECASE)
REG_SQL_PATH = re.compile(r'from\s+(\w+)(\s+where|\s*$)', re.IGNORECASE)
REG_SQL_JDBC = re.compile(r'jdbcUrl:\s*\[(.+?)\]', re.IGNORECASE)
REG_SQL_UUID = re.compile(r'(\d+\-)+reader')
REG_COMMIT_UUID = re.compile(r'(\d+\-)+writer')
REG_COMMIT_WAKE = re.compile(r'begin\s+to\s+commit\s+blocks', re.IGNORECASE)
REG_COMMIT_DONE = re.compile(r'commit\s+blocks\s+ok', re.IGNORECASE)
# { 
{ 
{ function parse_timestamp() #
def parse_timestamp(line):
try:
ts = int(time.mktime(time.strptime(line[0:19], '%Y-%m-%d %H:%M:%S')))
except:
ts = 0
return ts
# }}} #
# { 
{ 
{ function parse_query_host() #
def parse_query_host(line):
ori = REG_SQL_JDBC.search(line)
if (not ori):
return ''
ori = ori.group(1).split('?')[0]
off = ori.find('@')
if (off > -1):
ori = ori[off+1:len(ori)]
else:
off = ori.find('//')
if (off > -1):
ori = ori[off+2:len(ori)]
return ori.lower()
# }}} #
# { 
{ 
{ function parse_query_table() #
def parse_query_table(line):
ori = REG_SQL_PATH.search(line)
return (ori and ori.group(1).lower()) or ''
# }}} #
# { 
{ 
{ function parse_reader_task() #
def parse_task(fname):
global LAST_SQL_UUID
global LAST_COMMIT_UUID
global DATAX_JOBDICT
global DATAX_JOBDICT_COMMIT
global UNIXTIME
LAST_SQL_UUID = ''
DATAX_JOBDICT = { 
}
LAST_COMMIT_UUID = ''
DATAX_JOBDICT_COMMIT = { 
}
UNIXTIME = int(time.time())
with open(fname, 'r') as f:
for line in f.readlines():
line = line.strip()
if (LAST_SQL_UUID and (LAST_SQL_UUID in DATAX_JOBDICT)):
DATAX_JOBDICT[LAST_SQL_UUID]['host'] = parse_query_host(line)
LAST_SQL_UUID = ''
if line.find('CommonRdbmsReader$Task') > 0:
parse_read_task(line)
elif line.find('commit blocks') > 0:
parse_write_task(line)
else:
continue
# }}} #
# { 
{ 
{ function parse_read_task() #
def parse_read_task(line):
ser = REG_SQL_UUID.search(line)
if not ser:
return
LAST_SQL_UUID = ser.group()
if REG_SQL_WAKE.search(line):
DATAX_JOBDICT[LAST_SQL_UUID] = { 

'stat' : 'R',
'wake' : parse_timestamp(line),
'done' : UNIXTIME,
'host' : parse_query_host(line),
'path' : parse_query_table(line)
}
elif ((LAST_SQL_UUID in DATAX_JOBDICT) and REG_SQL_DONE.search(line)):
DATAX_JOBDICT[LAST_SQL_UUID]['stat'] = 'D'
DATAX_JOBDICT[LAST_SQL_UUID]['done'] = parse_timestamp(line)
# }}} #
# { 
{ 
{ function parse_write_task() #
def parse_write_task(line):
ser = REG_COMMIT_UUID.search(line)
if not ser:
return
LAST_COMMIT_UUID = ser.group()
if REG_COMMIT_WAKE.search(line):
DATAX_JOBDICT_COMMIT[LAST_COMMIT_UUID] = { 

'stat' : 'R',
'wake' : parse_timestamp(line),
'done' : UNIXTIME,
}
elif ((LAST_COMMIT_UUID in DATAX_JOBDICT_COMMIT) and REG_COMMIT_DONE.search(line)):
DATAX_JOBDICT_COMMIT[LAST_COMMIT_UUID]['stat'] = 'D'
DATAX_JOBDICT_COMMIT[LAST_COMMIT_UUID]['done'] = parse_timestamp(line)
# }}} #
# { 
{ 
{ function result_analyse() #
def result_analyse():
def compare(a, b):
return b['cost'] - a['cost']
tasklist = []
hostsmap = { 
}
statvars = { 
'sum' : 0, 'cnt' : 0, 'svr' : 0, 'max' : 0, 'min' : int(time.time())}
tasklist_commit = []
statvars_commit = { 
'sum' : 0, 'cnt' : 0}
for idx in DATAX_JOBDICT:
item = DATAX_JOBDICT[idx]
item['uuid'] = idx;
item['cost'] = item['done'] - item['wake']
tasklist.append(item);
if (not (item['host'] in hostsmap)):
hostsmap[item['host']] = 1
statvars['svr'] += 1
if (item['cost'] > -1 and item['cost'] < 864000):
statvars['sum'] += item['cost']
statvars['cnt'] += 1
statvars['max'] = max(statvars['max'], item['done'])
statvars['min'] = min(statvars['min'], item['wake'])
for idx in DATAX_JOBDICT_COMMIT:
itemc = DATAX_JOBDICT_COMMIT[idx]
itemc['uuid'] = idx
itemc['cost'] = itemc['done'] - itemc['wake']
tasklist_commit.append(itemc)
if (itemc['cost'] > -1 and itemc['cost'] < 864000):
statvars_commit['sum'] += itemc['cost']
statvars_commit['cnt'] += 1
ttl = (statvars['max'] - statvars['min']) or 1
idx = float(statvars['cnt']) / (statvars['sum'] or ttl)
tasklist.sort(compare)
for item in tasklist:
print('%s\t%s.%s\t%s\t%s\t% 4d\t% 2.1f%%\t% .2f' %(item['stat'], item['host'], item['path'],
time.strftime('%H:%M:%S', time.localtime(item['wake'])),
(('D' == item['stat']) and time.strftime('%H:%M:%S', time.localtime(item['done']))) or '--',
item['cost'], 100 * item['cost'] / ttl, idx * item['cost']))
if (not len(tasklist) or not statvars['cnt']):
return
print('\n--- DataX Profiling Statistics ---')
print('%d task(s) on %d server(s), Total elapsed %d second(s), %.2f second(s) per task in average' %(statvars['cnt'],
statvars['svr'], statvars['sum'], float(statvars['sum']) / statvars['cnt']))
print('Actually cost %d second(s) (%s - %s), task concurrency: %.2f, tilt index: %.2f' %(ttl,
time.strftime('%H:%M:%S', time.localtime(statvars['min'])),
time.strftime('%H:%M:%S', time.localtime(statvars['max'])),
float(statvars['sum']) / ttl, idx * tasklist[0]['cost']))
idx_commit = float(statvars_commit['cnt']) / (statvars_commit['sum'] or ttl)
tasklist_commit.sort(compare)
print('%d task(s) done odps comit, Total elapsed %d second(s), %.2f second(s) per task in average, tilt index: %.2f' % (
statvars_commit['cnt'],
statvars_commit['sum'], float(statvars_commit['sum']) / statvars_commit['cnt'],
idx_commit * tasklist_commit[0]['cost']))
# }}} #
if (len(sys.argv) < 2):
print("Usage: %s filename" %(sys.argv[0]))
quit(1)
else:
parse_task(sys.argv[1])
result_analyse()

===perftrace.py文件===
#!/usr/bin/env python
# -*- coding:utf-8 -*-
""" Life's short, Python more. """
import re
import os
import sys
import json
import uuid
import signal
import time
import subprocess
from optparse import OptionParser
reload(sys)
sys.setdefaultencoding('utf8')
##begin cli & help logic
def getOptionParser():
usage = getUsage()
parser = OptionParser(usage = usage)
#rdbms reader and writer
parser.add_option('-r', '--reader', action='store', dest='reader', help='trace datasource read performance with specified !json! string')
parser.add_option('-w', '--writer', action='store', dest='writer', help='trace datasource write performance with specified !json! string')
parser.add_option('-c', '--channel',  action='store', dest='channel', default='1', help='the number of concurrent sync thread, the default is 1')
parser.add_option('-f', '--file',   action='store', help='existing datax configuration file, include reader and writer params')
parser.add_option('-t', '--type',   action='store', default='reader', help='trace which side\'s performance, cooperate with -f --file params, need to be reader or writer')
parser.add_option('-d', '--delete',   action='store', default='true', help='delete temporary files, the default value is true')
#parser.add_option('-h', '--help', action='store', default='true', help='print usage information')
return parser
def getUsage():
return ''' The following params are available for -r --reader: [these params is for rdbms reader, used to trace rdbms read performance, it's like datax's key] *datasourceType: datasource type, may be mysql|drds|oracle|ads|sqlserver|postgresql|db2 etc... *jdbcUrl: datasource jdbc connection string, mysql as a example: jdbc:mysql://ip:port/database *username: username for datasource *password: password for datasource *table: table name for read data column: column to be read, the default value is ['*'] splitPk: the splitPk column of rdbms table where: limit the scope of the performance data set fetchSize: how many rows to be fetched at each communicate [these params is for stream reader, used to trace rdbms write performance] reader-sliceRecordCount: how man test data to mock(each channel), the default value is 10000 reader-column : stream reader while generate test data(type supports: string|long|date|double|bool|bytes; support constant value and random function)，demo: [{"type":"string","value":"abc"},{"type":"string","random":"10,20"}] The following params are available for -w --writer: [these params is for rdbms writer, used to trace rdbms write performance, it's like datax's key] datasourceType: datasource type, may be mysql|drds|oracle|ads|sqlserver|postgresql|db2|ads etc... *jdbcUrl: datasource jdbc connection string, mysql as a example: jdbc:mysql://ip:port/database *username: username for datasource *password: password for datasource *table: table name for write data column: column to be writed, the default value is ['*'] batchSize: how many rows to be storeed at each communicate, the default value is 512 preSql: prepare sql to be executed before write data, the default value is '' postSql: post sql to be executed end of write data, the default value is '' url: required for ads, pattern is ip:port schme: required for ads, ads database name [these params is for stream writer, used to trace rdbms read performance] writer-print: true means print data read from source datasource, the default value is false The following params are available global control: -c --channel: the number of concurrent tasks, the default value is 1 -f --file: existing completely dataX configuration file path -t --type: test read or write performance for a datasource, couble be reader or writer, in collaboration with -f --file -h --help: print help message some demo: perftrace.py --channel=10 --reader='{ 
"jdbcUrl":"jdbc:mysql://127.0.0.1:3306/database", "username":"", "password":"", "table": "", "where":"", "splitPk":"", "writer-print":"false"}' perftrace.py --channel=10 --writer='{ 
"jdbcUrl":"jdbc:mysql://127.0.0.1:3306/database", "username":"", "password":"", "table": "", "reader-sliceRecordCount": "10000", "reader-column": [{ 
"type":"string","value":"abc"},{ 
"type":"string","random":"10,20"}]}' perftrace.py --file=/tmp/datax.job.json --type=reader --reader='{ 
"writer-print": "false"}' perftrace.py --file=/tmp/datax.job.json --type=writer --writer='{ 
"reader-sliceRecordCount": "10000", "reader-column": [{ 
"type":"string","value":"abc"},{ 
"type":"string","random":"10,20"}]}' some example jdbc url pattern, may help: jdbc:oracle:thin:@ip:port:database jdbc:mysql://ip:port/database jdbc:sqlserver://ip:port;DatabaseName=database jdbc:postgresql://ip:port/database warn: ads url pattern is ip:port warn: test write performance will write data into your table, you can use a temporary table just for test. '''
def printCopyright():
DATAX_VERSION = 'UNKNOWN_DATAX_VERSION'
print(''' DataX Util Tools (%s), From Alibaba ! Copyright (C) 2010-2016, Alibaba Group. All Rights Reserved.''' % DATAX_VERSION)
sys.stdout.flush()
def yesNoChoice():
yes = set(['yes','y', 'ye', ''])
no = set(['no','n'])
choice = raw_input().lower()
if choice in yes:
return True
elif choice in no:
return False
else:
sys.stdout.write("Please respond with 'yes' or 'no'")
##end cli & help logic
##begin process logic
def suicide(signum, e):
global childProcess
print >> sys.stderr, "[Error] Receive unexpected signal %d, starts to suicide." % (signum)
if childProcess:
childProcess.send_signal(signal.SIGQUIT)
time.sleep(1)
childProcess.kill()
print >> sys.stderr, "DataX Process was killed ! you did ?"
sys.exit(-1)
def registerSignal():
global childProcess
signal.signal(2, suicide)
signal.signal(3, suicide)
signal.signal(15, suicide)
def fork(command, isShell=False):
global childProcess
childProcess = subprocess.Popen(command, shell = isShell)
registerSignal()
(stdout, stderr) = childProcess.communicate()
#阻塞直到子进程结束
childProcess.wait()
return childProcess.returncode
##end process logic
##begin datax json generate logic
#warn: if not '': -> true; if not None: -> true
def notNone(obj, context):
if not obj:
raise Exception("Configuration property [%s] could not be blank!" % (context))
def attributeNotNone(obj, attributes):
for key in attributes:
notNone(obj.get(key), key)
def isBlank(value):
if value is None or len(value.strip()) == 0:
return True
return False
def parsePluginName(jdbcUrl, pluginType):
import re
#warn: drds
name = 'pluginName'
mysqlRegex = re.compile('jdbc:(mysql)://.*')
if (mysqlRegex.match(jdbcUrl)):
name = 'mysql'
postgresqlRegex = re.compile('jdbc:(postgresql)://.*')
if (postgresqlRegex.match(jdbcUrl)):
name = 'postgresql'
oracleRegex = re.compile('jdbc:(oracle):.*')
if (oracleRegex.match(jdbcUrl)):
name = 'oracle'
sqlserverRegex = re.compile('jdbc:(sqlserver)://.*')
if (sqlserverRegex.match(jdbcUrl)):
name = 'sqlserver'
db2Regex = re.compile('jdbc:(db2)://.*')
if (db2Regex.match(jdbcUrl)):
name = 'db2'
return "%s%s" % (name, pluginType)
def renderDataXJson(paramsDict, readerOrWriter = 'reader', channel = 1):
dataxTemplate = { 

"job": { 

"setting": { 

"speed": { 

"channel": 1
}
},
"content": [
{ 

"reader": { 

"name": "",
"parameter": { 

"username": "",
"password": "",
"sliceRecordCount": "10000",
"column": [
"*"
],
"connection": [
{ 

"table": [],
"jdbcUrl": []
}
]
}
},
"writer": { 

"name": "",
"parameter": { 

"print": "false",
"connection": [
{ 

"table": [],
"jdbcUrl": ''
}
]
}
}
}
]
}
}
dataxTemplate['job']['setting']['speed']['channel'] = channel
dataxTemplateContent = dataxTemplate['job']['content'][0]
pluginName = ''
if paramsDict.get('datasourceType'):
pluginName = '%s%s' % (paramsDict['datasourceType'], readerOrWriter)
elif paramsDict.get('jdbcUrl'):
pluginName = parsePluginName(paramsDict['jdbcUrl'], readerOrWriter)
elif paramsDict.get('url'):
pluginName = 'adswriter'
theOtherSide = 'writer' if readerOrWriter == 'reader' else 'reader'
dataxPluginParamsContent = dataxTemplateContent.get(readerOrWriter).get('parameter')
dataxPluginParamsContent.update(paramsDict)
dataxPluginParamsContentOtherSide = dataxTemplateContent.get(theOtherSide).get('parameter')
if readerOrWriter == 'reader':
dataxTemplateContent.get('reader')['name'] = pluginName
dataxTemplateContent.get('writer')['name'] = 'streamwriter'
if paramsDict.get('writer-print'):
dataxPluginParamsContentOtherSide['print'] = paramsDict['writer-print']
del dataxPluginParamsContent['writer-print']
del dataxPluginParamsContentOtherSide['connection']
if readerOrWriter == 'writer':
dataxTemplateContent.get('reader')['name'] = 'streamreader'
dataxTemplateContent.get('writer')['name'] = pluginName
if paramsDict.get('reader-column'):
dataxPluginParamsContentOtherSide['column'] = paramsDict['reader-column']
del dataxPluginParamsContent['reader-column']
if paramsDict.get('reader-sliceRecordCount'):
dataxPluginParamsContentOtherSide['sliceRecordCount'] = paramsDict['reader-sliceRecordCount']
del dataxPluginParamsContent['reader-sliceRecordCount']
del dataxPluginParamsContentOtherSide['connection']
if paramsDict.get('jdbcUrl'):
if readerOrWriter == 'reader':
dataxPluginParamsContent['connection'][0]['jdbcUrl'].append(paramsDict['jdbcUrl'])
else:
dataxPluginParamsContent['connection'][0]['jdbcUrl'] = paramsDict['jdbcUrl']
if paramsDict.get('table'):
dataxPluginParamsContent['connection'][0]['table'].append(paramsDict['table'])
traceJobJson = json.dumps(dataxTemplate, indent = 4)
return traceJobJson
def isUrl(path):
if not path:
return False
if not isinstance(path, str):
raise Exception('Configuration file path required for the string, you configure is:%s' % path)
m = re.match(r"^http[s]?://\S+\w*", path.lower())
if m:
return True
else:
return False
def readJobJsonFromLocal(jobConfigPath):
jobConfigContent = None
jobConfigPath = os.path.abspath(jobConfigPath)
file = open(jobConfigPath)
try:
jobConfigContent = file.read()
finally:
file.close()
if not jobConfigContent:
raise Exception("Your job configuration file read the result is empty, please check the configuration is legal, path: [%s]\nconfiguration:\n%s" % (jobConfigPath, str(jobConfigContent)))
return jobConfigContent
def readJobJsonFromRemote(jobConfigPath):
import urllib
conn = urllib.urlopen(jobConfigPath)
jobJson = conn.read()
return jobJson
def parseJson(strConfig, context):
try:
return json.loads(strConfig)
except Exception as e:
import traceback
traceback.print_exc()
sys.stdout.flush()
print >> sys.stderr, '%s %s need in line with json syntax' % (context, strConfig)
sys.exit(-1)
def convert(options, args):
traceJobJson = ''
if options.file:
if isUrl(options.file):
traceJobJson = readJobJsonFromRemote(options.file)
else:
traceJobJson = readJobJsonFromLocal(options.file)
traceJobDict = parseJson(traceJobJson, '%s content' % options.file)
attributeNotNone(traceJobDict, ['job'])
attributeNotNone(traceJobDict['job'], ['content'])
attributeNotNone(traceJobDict['job']['content'][0], ['reader', 'writer'])
attributeNotNone(traceJobDict['job']['content'][0]['reader'], ['name', 'parameter'])
attributeNotNone(traceJobDict['job']['content'][0]['writer'], ['name', 'parameter'])
if options.type == 'reader':
traceJobDict['job']['content'][0]['writer']['name'] = 'streamwriter'
if options.reader:
traceReaderDict = parseJson(options.reader, 'reader config')
if traceReaderDict.get('writer-print') is not None:
traceJobDict['job']['content'][0]['writer']['parameter']['print'] = traceReaderDict.get('writer-print')
else:
traceJobDict['job']['content'][0]['writer']['parameter']['print'] = 'false'
else:
traceJobDict['job']['content'][0]['writer']['parameter']['print'] = 'false'
elif options.type == 'writer':
traceJobDict['job']['content'][0]['reader']['name'] = 'streamreader'
if options.writer:
traceWriterDict = parseJson(options.writer, 'writer config')
if traceWriterDict.get('reader-column'):
traceJobDict['job']['content'][0]['reader']['parameter']['column'] = traceWriterDict['reader-column']
if traceWriterDict.get('reader-sliceRecordCount'):
traceJobDict['job']['content'][0]['reader']['parameter']['sliceRecordCount'] = traceWriterDict['reader-sliceRecordCount']
else:
columnSize = len(traceJobDict['job']['content'][0]['writer']['parameter']['column'])
streamReaderColumn = []
for i in range(columnSize):
streamReaderColumn.append({ 
"type": "long", "random": "2,10"})
traceJobDict['job']['content'][0]['reader']['parameter']['column'] = streamReaderColumn
traceJobDict['job']['content'][0]['reader']['parameter']['sliceRecordCount'] = 10000
else:
pass#do nothing
return json.dumps(traceJobDict, indent = 4)
elif options.reader:
traceReaderDict = parseJson(options.reader, 'reader config')
return renderDataXJson(traceReaderDict, 'reader', options.channel)
elif options.writer:
traceWriterDict = parseJson(options.writer, 'writer config')
return renderDataXJson(traceWriterDict, 'writer', options.channel)
else:
print(getUsage())
sys.exit(-1)
#dataxParams = {}
#for opt, value in options.__dict__.items():
# dataxParams[opt] = value
##end datax json generate logic
if __name__ == "__main__":
printCopyright()
parser = getOptionParser()
options, args = parser.parse_args(sys.argv[1:])
#print options, args
dataxTraceJobJson = convert(options, args)
#由MAC地址、当前时间戳、随机数生成,可以保证全球范围内的唯一性
dataxJobPath = os.path.join(os.getcwd(), "perftrace-" + str(uuid.uuid1()))
jobConfigOk = True
if os.path.exists(dataxJobPath):
print("file already exists, truncate and rewrite it? %s" % dataxJobPath)
if yesNoChoice():
jobConfigOk = True
else:
print("exit failed, because of file conflict")
sys.exit(-1)
fileWriter = open(dataxJobPath, 'w')
fileWriter.write(dataxTraceJobJson)
fileWriter.close()
print("trace environments:")
print("dataxJobPath: %s" % dataxJobPath)
dataxHomePath = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
print("dataxHomePath: %s" % dataxHomePath)
dataxCommand = "%s %s" % (os.path.join(dataxHomePath, "bin", "datax.py"), dataxJobPath)
print("dataxCommand: %s" % dataxCommand)
returncode = fork(dataxCommand, True)
if options.delete == 'true':
os.remove(dataxJobPath)
sys.exit(returncode)

2 改造package.xml文件

文件位置： xx\DataX\core\src\main\assembly\package.xml 。 该文件主要功能是‘拷贝’源代码中的脚本到target，实现打包的功能。package.xml 文件被 xx\DataX\core\pom.xml引用；

===package.xml文件===
<assembly
xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0 http://maven.apache.org/xsd/assembly-1.1.0.xsd">
<id></id>
<formats>
<format>dir</format>
</formats>
<includeBaseDirectory>false</includeBaseDirectory>
<fileSets>
<!-- for bin -->
<!--        <fileSet>-->
<!--            <directory>src/main/bin</directory>-->
<!--            <includes>-->
<!--                <include>*.*</include>-->
<!--            </includes>-->
<!--            <excludes>-->
<!--                <exclude>*.pyc</exclude>-->
<!--            </excludes>-->
<!--            <directoryMode>775</directoryMode>-->
<!--            <outputDirectory>/bin</outputDirectory>-->
<!--        </fileSet>-->
<fileSet>
<directory>src/main/bin</directory>
<includes>
<include>*</include>
</includes>
<excludes>
<exclude>*.pyc</exclude>
</excludes>
<directoryMode>775</directoryMode>
<outputDirectory>/bin</outputDirectory>
</fileSet>
<fileSet>
<directory>src/main/bin/py/py2</directory>
<includes>
<include>*</include>
</includes>
<excludes>
<exclude>*.pyc</exclude>
</excludes>
<directoryMode>775</directoryMode>
<outputDirectory>/bin/py/py2</outputDirectory>
</fileSet>
<fileSet>
<directory>src/main/bin/py/py3</directory>
<includes>
<include>*</include>
</includes>
<excludes>
<exclude>*.pyc</exclude>
</excludes>
<directoryMode>775</directoryMode>
<outputDirectory>/bin/py/py3</outputDirectory>
</fileSet>
<!-- for scripts -->
<fileSet>
<directory>src/main/script</directory>
<includes>
<include>*.*</include>
</includes>
<directoryMode>775</directoryMode>
<outputDirectory>/script</outputDirectory>
</fileSet>
<!-- for configs -->
<fileSet>
<directory>src/main/conf</directory>
<includes>
<include>*.*</include>
</includes>
<outputDirectory>/conf</outputDirectory>
</fileSet>
<!-- for engine -->
<fileSet>
<directory>target/</directory>
<includes>
<include>datax-core-0.0.1-SNAPSHOT.jar</include>
</includes>
<outputDirectory>/lib</outputDirectory>
</fileSet>
<fileSet>
<directory>src/main/job/</directory>
<includes>
<include>*.json</include>
</includes>
<outputDirectory>/job</outputDirectory>
</fileSet>
<fileSet>
<directory>src/main/tools/</directory>
<includes>
<include>*.*</include>
</includes>
<outputDirectory>/tools</outputDirectory>
</fileSet>
<fileSet>
<fileMode>777</fileMode>
<directory>src/main/tmp</directory>
<includes>
<include>*.*</include>
</includes>
<outputDirectory>/tmp</outputDirectory>
</fileSet>
</fileSets>
<dependencySets>
<dependencySet>
<useProjectArtifact>false</useProjectArtifact>
<outputDirectory>/lib</outputDirectory>
<scope>runtime</scope>
</dependencySet>
</dependencySets>
</assembly>

3 新增datax.py文件

此datax.py非彼datax.py,此文件主要用来检查用户的py环境，从而调用不同的py脚本；

===datax.py 如果有更好的写法，欢迎补充===
#!/usr/bin/python
# -*- coding: UTF-8 -*-
# 根据机器上py版本，自动选择调用py2还是py3
import sys
import os
currentFilePath = os.path.dirname(os.path.abspath(__file__))
print("currentFilePath===" + currentFilePath)
argvs=sys.argv[1:]
params = " ".join(argvs)
print("params===" + params)
if sys.version > '3':
pyPath = "py3"
else:
pyPath = "py2"
execPy = "python " + currentFilePath +os.sep +"py" +os.sep + pyPath + os.sep + "datax.py " + params
print("execPy===" + execPy)
os.system(execPy)

4 各类文件归位

如下图在core模块创建目录，将对应文件放入。（忽略datax.bat，该文件是想在win下无py环境直接调用datax，正在编写中）

项目打包编译后结果如下

最后，开心的去奔跑玩耍吧，管你py2还是3，just running~~~

注：

1. 对源码进行略微改动，主要修改为 1 阿里代码规约扫描出来的，2 clean code；

2. 所有代码都已经上传到github（master分支和dev），可以免费白嫖