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HiveServer2 (HS2) is a server interface that enables remote clients to execute queries against Hive and retrieve the results. The current implementation, based on Thrift RPC, is an improved version of HiveServer and supports multi-client concurrency and authentication. It is designed to provide better support for open API clients like JDBC and ODBC.
Introduced in Hive version 0.11. See HIVE-2935.
How to Configure
Configuration Properties in the
HIVE_SERVER2_THRIFT_BIND_HOST – Optional TCP host interface to bind to. Overrides the configuration file setting.
How to Start
$HIVE_HOME/bin/hive --service hiveserver2
HiveServer2 supports Anonymous (no authentication), Kerberos, pass through LDAP and pluggable custom authentication.
hive.server2.authentication – Authentication mode, default NONE. Options are NONE, KERBEROS, LDAP and CUSTOM.
By default HiveServer2 performs the query processing as the user who submitted the query. But if the following parameter is set to false, the query will run as the user that the
hiveserver2 process runs as.
fs.hdfs.impl.disable.cache – Disable HDFS filesystem cache, default false.
Changes in HIVE-4911, which is available in Hive 0.12, enable integrity protection and confidentiality protection (beyond just the default of authentication) for communication between the Hive JDBC driver and HiveServer2. You can use the SASL QOP property to configure this.
- This is only when Kerberos is used for the HS2 client (JDBC/ODBC application) authentication with HiveServer2.
- hive.server2.thrift.sasl.qop in
hive-site.xmlhas to be set to one of the valid QOP values ('auth', 'auth-int' or 'auth-conf').
Python Client Driver
A Python client driver for HiveServer2 is available at https://github.com/BradRuderman/pyhs2 (thanks, Brad). It includes all the required packages such as SASL and Thrift wrappers.
To use the pyhs2 driver:
pip install pyhs2
import pyhs2 conn = pyhs2.connect(host='localhost', port=10000, authMechanism="PLAIN", user='root', password='test', database='default') cur = conn.cursor() cur.execute("show tables") for i in cur.fetch(): print i cur.close() conn.close()
You can discuss this driver on the firstname.lastname@example.org mailing list.