参考:

https://blog.csdn.net/a6822342/article/details/80713652   #简单

https://www.zhihu.com/question/269333988   #复杂点的

方法一:

ali-bigdata-gateway-guard-1

deactivate

sudo -i

. /mnt/disk1/data/venv_bi/bin/activate

pip install pyhive

pip install thrift

pip install sasl

pip install thrift_sasl

vim h.py

from pyhive import hive

conn = hive.Connection(host='127.0.0.1', port=10000, username='feng.hong', database='test_db')

cursor = conn.cursor()

cursor.execute('show databases')

print(cursor.fetchall())

或使用select查询

conn = hive.Connection(host='127.0.0.1', port=10000, username='feng.hong', database='test_db')

cursor = conn.cursor()

cursor.execute('select * from users limit 10')

print(cursor.fetchall())

#长的查询语句可用三个引号表示忽略换行

#设置队列可以新起一个execute,因为是在同一个connect中所以不会失效.

from pyhive importhive

conn= hive.Connection(host='10.52.5.190', port=10000, username='feng.hong', database='default')

cursor=conn.cursor()

cursor.execute('SET mapreduce.job.queuename=data_bi')

cursor.execute("""SELECT

a.dt,

a.city_id,

a.city_name,

a.product_id,

a.driver_id,

a.phone_number

FROM oride_dw.dim_oride_driver_base a

where a.dt=DATE_SUB(from_unixtime(unix_timestamp(),'yyyy-MM-dd'),6) limit 10""")print(cursor.fetchall())

方法二:通过os.system,具体见博客python发邮件

importosimportsmtplibimportcsvfrom email.mime.text importMIMETextfrom email.mime.multipart importMIMEMultipartfrom email.mime.application importMIMEApplicationimportnumpy as npimportpandas as pdimportpymysqlimportsqlalchemy

os.system("hive -e \"SET mapreduce.job.queuename=data_bi;SELECT a.dt,a.city_id,a.city_name,a.product_id,a.driver_id,a.phone_number FROM oride_dw.dim_oride_driver_base a where a.dt >= DATE_SUB(current_date(),2) and a.dt<= DATE_SUB(current_date(),1) limit 10\" >/tmp/1.txt")

方法三: 没跑出来,待研究

"""表示注释

import pandas as pd

import sqlalchemy as sa

sql = """SELECT a.dt, a.city_id, a.city_name, a.product_id, a.driver_id, a.phone_number

FROM oride_dw.dim_oride_driver_base a

where a.dt=DATE_SUB(from_unixtime(unix_timestamp(),'yyyy-MM-dd'),6) limit 10"""

engine = sa.create_engine('hive://10.52.5.190:10000/opay_dw')

pd.read_sql(sql, engine)