如何使用Python Impyla客户端连接Hive和Impala
这篇文章主要介绍了如何使用Python Impyla客户端连接Hive和Impala，具有一定借鉴价值，感兴趣的朋友可以参考下，希望大家阅读完这篇文章之后大有收获，下面让小编带着大家一起了解一下。
使用hive模块
pip install sasl
pip install thrift
pip install thrift-sasl
pip install PyHive
[root@ip-172-31-40-242 ~]# more testpyhive.py
from pyhive import hive
conn = hive.Connection(host='xxxxxxx', port=10000, database='collection',username='')
cursor=conn.cursor()
cursor.execute('select * from tb_partition limit 10')
for result in cursor.fetchall():
print result
[root@ip-172-31-40-242 ~]# python testpyhive.py
(u'1', u'2', u'201707')
(u'1', u'2', u'201707')
(u'123', None, u'201709')
(u'123', u'456', u'201709')
(u'45678', u'456', u'201709')
(u'123', None, u'201709')
(u'123', u'456', u'201709')
(u'45678', u'456', u'201709')
(u'123', None, u'201709')
(u'123', u'456', u'201709')
官方API：
https://pypi.org/project/PyHive/
如何使用Python Impyla客户端连接Hive和Impala
# -*- coding:utf-8 -*-
from impala.dbapi import connect
conn = connect(host='172.31.46.109',port=10000,database='collection',auth_mechanism='PLAIN')
print(conn)
cursor = conn.cursor()
#
param = '''SET hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
SET hive.support.concurrency=true;
'''
cursor.execute(param)
cursor.execute('SELECT uid FROM redefine_collection where uid=4028 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)
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