Python操作Hive的两种方法总结

方法一:使用PyHive库

安装依赖包:其中sasl安装可能会报错,可以去https://www.lfd.uci.edu/~gohlke/pythonlibs/#sasl下载对应版本安装。

pip install sasl
pip install thrift
pip install thrift-sasl
pip install PyHive

Python脚本代码操作:

from pyhive import hive   # or import hive
conn = hive.Connection(host='****', port=****, username='****', database='****')
cursor.execute(''SELECT * FROM my_awesome_data LIMIT 10'')
for i in range(****):
    sql = "INSERT INTO **** VALUES ({},'username{}')".format(value, str(username))
    cursor.execute(sql)


# 下面是官网代码:
from pyhive import presto  # or import hive
cursor = presto.connect('localhost').cursor()
cursor.execute('SELECT * FROM my_awesome_data LIMIT 10')
print(cursor.fetchone())
print(cursor.fetchall())

方法二:使用 impyla库

impyla依赖包:

pip install six

pip install bit_array

pip install thriftpy

为了支持Hive还需要以下两个包:

pip install sasl
pip install thrift_sasl

可在Python PyPI中下载impyla及其依赖包的源码

Python脚本代码:

from impala.dbapi import connect 
conn = connect(host ='****',port = ****)
cursor = conn.cursor()
cursor.execute('SELECT * FROM mytable LIMIT 100')
print cursor.description   # 打印结果集的schema 
results = cursor.fetchall()

 

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