Using Apache Hive with Python

Apache Hive is a data warehousing and SQL-like query language for Apache Hadoop. It provides an interface to perform data analysis using SQL-like queries, called HiveQL. Hive also provides a Python interface, which allows you to use HiveQL with Python code. This can be useful for integrating Hive into a larger data processing pipeline that involves Python.

Here's an example of how you can use Hive with Python:

import pyhs2

 
# Connect to Hive
conn = pyhs2.connect(host='localhost',
                     port=10000,
                         authMechanism="PLAIN",
                     user='hive',
                     password='hive',
                                    database='default') 
 # Create a cursor for executing queries 
cur = conn.cursor()

 
# Execute a HiveQL query 
cur.execute("SELECT * FROM mytable")

 
# Fetch the results of the query 
rows = cur.fetchall() 
 # Loop through the rows and print the results 
for row in rows:
    print(row) 
 # Close the cursor and connection 
cur.close()
conn.close()

In this example, we use the pyhs2 library to connect to a Hive server running on localhost at port 10000. We then use the cursor object to execute a HiveQL query to select all data from the mytable table. The results of the query are then fetched and printed to the console.