0039-如何使用Python Impyla客户端连接Hive和Impala
Posted
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了0039-如何使用Python Impyla客户端连接Hive和Impala相关的知识,希望对你有一定的参考价值。
温馨提示:要看高清无码套图,请使用手机打开并单击图片放大查看。
1.文档编写目的
继上一章讲述如何在CDH集群安装Anaconda&搭建Python私有源后,本章节主要讲述如何使用Pyton Impyla客户端连接CDH集群的HiveServer2和Impala Daemon,并进行SQL操作。
- 内容概述
1.依赖包安装
2.代码编写
3.代码测试
- 测试环境
1.CM和CDH版本为5.11.2
2.RedHat7.2
- 前置条件
1.CDH集群环境正常运行
2.Anaconda已安装并配置环境变量
3.pip工具能够正常安装Python包
4.Python版本2.6+ or 3.3+
5.非安全集群环境
2.Impyla依赖包安装
Impyla所依赖的Python包
- six
- bit_array
- thrift (on Python 2.x) orthriftpy (on Python 3.x)
- thrift_sasl
- sasl
1.首先安装Impyla依赖的Python包
[[email protected] ~]# pip install bit_array
[[email protected] ~]# pip install thrift==0.9.3
[[email protected] ~]# pip install six
[[email protected] ~]# pip install thrift_sasl
[[email protected] ~]# pip install sasl
注意:thrift的版本必须使用0.9.3,默认安装的为0.10.0版本,需要卸载后重新安装0.9.3版本,卸载命令pip uninstall thrift
2.安装Impyla包
impyla版本,默认安装的是0.14.0,需要将卸载后安装0.13.8版本
[[email protected] ec2-user]# pip install impyla==0.13.8
Collecting impyla
Downloading impyla-0.14.0.tar.gz (151kB)
100% |████████████████████████████████| 153kB 1.0MB/s
Requirement already satisfied: six in /opt/cloudera/parcels/Anaconda-4.2.0/lib/python2.7/site-packages (from impyla)
Requirement already satisfied: bitarray in /opt/cloudera/parcels/Anaconda-4.2.0/lib/python2.7/site-packages (from impyla)
Requirement already satisfied: thrift in /opt/cloudera/parcels/Anaconda-4.2.0/lib/python2.7/site-packages (from impyla)
Building wheels for collected packages: impyla
Running setup.py bdist_wheel for impyla ... done
Stored in directory: /root/.cache/pip/wheels/96/fa/d8/40e676f3cead7ec45f20ac43eb373edc471348ac5cb485d6f5
Successfully built impyla
Installing collected packages: impyla
Successfully installed impyla-0.14.0
3.编写Python代码
Python连接Hive(HiveTest.py)
from impala.dbapi importconnect
conn = connect(host=‘ip-172-31-21-45.ap-southeast-1.compute.internal‘,port=10000,database=‘default‘,auth_mechan
ism=‘PLAIN‘)
print(conn)
cursor = conn.cursor()
cursor.execute(‘show databases‘)
print cursor.description # prints the result set‘s schema
results = cursor.fetchall()
print(results)
cursor.execute(‘SELECT * FROM test limit 10‘)
print cursor.description # prints the result set‘s schema
results = cursor.fetchall()
print(results)
Python连接Impala(ImpalaTest.py)
from impala.dbapi importconnect
conn = connect(host=‘ip-172-31-26-80.ap-southeast-1.compute.internal‘,port=21050)
print(conn)
cursor = conn.cursor()
cursor.execute(‘show databases‘)
print cursor.description # prints the result set‘s schema
results = cursor.fetchall()
print(results)
cursor.execute(‘SELECT * FROM test limit 10‘)
print cursor.description # prints the result set‘s schema
results = cursor.fetchall()
print(results)
4.测试代码
在shell命令行执行Python代码测试
1.测试连接Hive
[email protected]_ec2-user# python HiveTest.py
<impala.hiveserver2.HiveServer2Connection_object at 0x7f66eee00250>_
(‘database_name‘, ‘STRING‘, None, None, None, None, None)
(‘default‘,)
(‘test.s1‘, ‘STRING‘,None, None, None, None, None), (‘test.s2‘, ‘STRING‘, None, None, None, None, None)
(‘name1‘, ‘age1‘), (‘name2‘, ‘age2‘), (‘name3‘, ‘age3‘), (‘name4‘, ‘age4‘), (‘name5‘, ‘age5‘), (‘name6‘, ‘age6‘), (‘name7‘, ‘age7‘), (‘name8‘, ‘age8‘), (‘name9‘, ‘age9‘), (‘name10‘, ‘age10‘)
[[email protected] ec2-user]#
2.测试连接Impala
[email protected]_ec2-user# python ImpalaTest.py
<impala.hiveserver2.HiveServer2Connection_object at 0x7f7e1f2cfad0>_
(‘name‘, ‘STRING‘, None, None, None, None, None), (‘comment‘, ‘STRING‘, None, None, None, None, None)
(‘_impala_builtins‘, ‘Systemdatabase for Impala builtin functions‘), (‘default‘, ‘Default Hive database‘)
(‘s1‘, ‘STRING‘, None, None, None,None, None), (‘s2‘, ‘STRING‘, None, None, None,None, None)
(‘name1‘, ‘age1‘), (‘name2‘, ‘age2‘), (‘name3‘, ‘age3‘), (‘name4‘, ‘age4‘), (‘name5‘, ‘age5‘), (‘name6‘, ‘age6‘), (‘name7‘, ‘age7‘), (‘name8‘, ‘age8‘), (‘name9‘, ‘age9‘), (‘name10‘, ‘age10‘)
[[email protected] ec2-user]#
5.常见问题
1.错误一
building ‘sasl.saslwrapper‘ extension
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/sasl
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Isasl -I/opt/cloudera/parcels/Anaconda/include/python2.7 -c sasl/saslwrapper.cpp -o build/temp.linux-x86_64-2.7/sasl/saslwrapper.o
unable to execute ‘gcc‘: No such file or directory
error: command ‘gcc‘ failed with exit status 1
----------------------------------------
Command "/opt/cloudera/parcels/Anaconda/bin/python -u -c "import setuptools, tokenize;__file__=‘/tmp/pip-build-kD6tvP/sasl/setup.py‘;f=getattr(tokenize, ‘open‘, open)(__file__);code=f.read().replace(‘
‘, ‘
‘);f.close();exec(compile(code, __file__, ‘exec‘))" install --record /tmp/pip-WJFNeG-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-kD6tvP/sasl/
解决方法:
[[email protected] ec2-user]# yum -y install gcc
[[email protected] ec2-user]# yum install gcc-c++
2.错误二
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Isasl -I/opt/cloudera/parcels/Anaconda/include/python2.7 -c sasl/saslwrapper.cpp -o build/temp.linux-x86_64-2.7/sasl/saslwrapper.o
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ [enabled by default]
In file included from sasl/saslwrapper.cpp:254:0:
sasl/saslwrapper.h:22:23: fatal error: sasl/sasl.h: No such file or directory
#include <sasl/sasl.h>
^
compilation terminated.
error: command ‘gcc‘ failed with exit status 1
解决方法:
[[email protected] ec2-user]# yum -y install python-devel.x86_64 cyrus-sasl-devel.x86_64
醉酒鞭名马,少年多浮夸! 岭南浣溪沙,呕吐酒肆下!挚友不肯放,数据玩的花!
温馨提示:要看高清无码套图,请使用手机打开并单击图片放大查看。
推荐关注Hadoop实操,第一时间,分享更多Hadoop干货,欢迎转发和分享。
原创文章,欢迎转载,转载请注明:转载自微信公众号Hadoop实操
以上是关于0039-如何使用Python Impyla客户端连接Hive和Impala的主要内容,如果未能解决你的问题,请参考以下文章
如何在 Hadoop 上运行的 Cloudera Impala 的 python impyla 查询中转义字符
如何使用 impyla 连接到 impala 或使用 pyhive 连接到 hive?