在ubuntu环境下怎么利用python将数据批量导入数据hbase

Answer 1

能够单条导入就能够批量导入配置 thriftpython使用的包 thrift个人使用的python 编译器是pycharm community edition. 在工程中设置中，找到project interpreter， 在相应的工程下，找到package，然后选择 “+” 添加， 搜索 hbase-thrift (Python client for HBase Thrift interface),然后安装包。安装服务器端thrift。参考官网，同时也可以在本机上安装以终端使用。thrift Getting Started也可以参考安装方法 python 调用HBase 范例首先，安装thrift下载thrift，这里，我用的是thrift-0.7.0-dev.tar.gz 这个版本tar xzf thrift-0.7.0-dev.tar.gzcd thrift-0.7.0-devsudo ./configure –with-cpp=no –with-ruby=nosudo makesudo make install然后，到HBase的源码包里，找到src/main/resources/org/apache/hadoop/hbase/thrift/执行thrift –gen py Hbase.thriftmv gen-py/hbase/ /usr/lib/python2.4/site-packages/ (根据python版本可能有不同)获取数据示例 1# coding:utf-8from thrift import Thriftfrom thrift.transport import TSocketfrom thrift.transport import TTransportfrom thrift.protocol import TBinaryProtocolfrom hbase import Hbase# from hbase.ttypes import ColumnDescriptor, Mutation, BatchMutationfrom hbase.ttypes import *import csvdef client_conn():# Make sockettransport = TSocket.TSocket('hostname,like:localhost', port)# Buffering is critical. Raw sockets are very slowtransport = TTransport.TBufferedTransport(transport)# Wrap in a protocolprotocol = TBinaryProtocol.TBinaryProtocol(transport)# Create a client to use the protocol encoderclient = Hbase.Client(protocol)# Connect!transport.open()return clientif __name__ == "__main__":client = client_conn()# r = client.getRowWithColumns('table name', 'row name', ['column name'])# print(r[0].columns.get('column name')), type((r[0].columns.get('column name')))result = client.getRow("table name","row name")data_simple =[]# print result[0].columns.items()for k, v in result[0].columns.items(): #.keys()#data.append((k,v))# print type(k),type(v),v.value,,v.timestampdata_simple.append((v.timestamp, v.value))writer.writerows(data)csvfile.close()csvfile_simple = open("data_xy_simple.csv", "wb")writer_simple = csv.writer(csvfile_simple)writer_simple.writerow(["timestamp", "value"])writer_simple.writerows(data_simple)csvfile_simple.close()print "finished"会基础的python应该知道result是个list，result[0].columns.items()是一个dict 的键值对。可以查询相关资料。或者通过输出变量，观察变量的值与类型。说明：上面程序中 transport.open()进行链接，在执行完后，还需要断开transport.close()目前只涉及到读数据，之后还会继续更新其他dbase操作。