ambari安装集群下python连接hbase之安装thrift
简介:
python连接hbase是需要通过thrift连进行连接的,ambari安装的服务中貌似没有自带安装hbase的thrift,我是看配置hbase的配置名称里面没有thrift,cdh版本的就有,所以我就自己安装了thrift。
一、thrift安装:
1、下载thrift依赖的东西
yum install automake libtool flex bison pkgconfig gcc-c++ boost-devel libevent-devel zlib-devel python-devel ruby-devel openssl-devel
2、安装boost_1_53_0.tar.gz
[root@master ~]# wget http://sourceforge.net/projects/boost/files/boost/1.53.0/boost_1_53_0.tar.gz [root@master ~]# tar xvf boost_1_53_0.tar.gz [root@master ~]# cd boost_1_53_0 [root@master boost_1_53_0]# ./bootstrap.sh [root@master boost_1_53_0]# ./b2 install [root@master boost_1_53_0]# cp /usr/local/lib/libboost_unit_test_framework.a /usr/lib64/ [root@master boost_1_53_0]# make [root@master boost_1_53_0]# make install
3、下载最新版本thrift,网址:http://thrift.apache.org
4、移动到默认安装目录,并解压
[root@master ~]# mv thrift-0.11.0.tar.gz /usr/local [root@master ~]# cd /usr/local [root@master local]# tar -zxvf thrift-0.11.0.tar.gz [root@master local]# mv thrift-0.11.0 thrift [root@master local]# cd thrift [root@master local]# ./configure --libdir=/usr/lib --without-java --without-python --without-c_glib [root@master local]# make [root@master local]# make install
二、启动thrift
1、找到hbase的bin执行文件夹,我执行的位置是ambari默认安装的文件夹下面/usr/hdp/2.6.3.0-235/hbase/bin
2、启动thrift,默认端口是9090
[root@master ~]# cd /usr/hdp/2.6.3.0-235/hbase/bin [root@master bin]# bin/hbase-daemon.sh start thrift
三、使用python连接hbase
1、安装python依赖包
pip install thrift
pip install hbase-thrift
2、demo程序
from thrift import Thrift from thrift.transport import TSocket from thrift.transport import TTransport from thrift.protocol import TBinaryProtocol from hbase import Hbase from hbase.ttypes import * transport = TSocket.TSocket('localhost', 9090) transport = TTransport.TBufferedTransport(transport) protocol = TBinaryProtocol.TBinaryProtocol(transport) client = Hbase.Client(protocol) transport.open() contents = ColumnDescriptor(name='cf:', maxVersions=1) # client.deleteTable('test') client.createTable('test', [contents]) print client.getTableNames() # insert data transport.open() row = 'row-key1' mutations = [Mutation(column="cf:a", value="1")] client.mutateRow('test', row, mutations) # get one row tableName = 'test' rowKey = 'row-key1' result = client.getRow(tableName, rowKey) print result for r in result: print 'the row is ', r.row print 'the values is ', r.columns.get('cf:a').value transport.close()