HiveServer2

HiveServer2 (HS2) is a server interface that enables remote clients to execute queries against Hive and retrieve the results (a more detailed intro here). 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.

...

How to Configure

Configuration Properties in the hive-site.xml File

See HiveServer2 in the Configuration Properties document for additional properties that can be set for HiveServer2.

Optional Environment Settings

Running in HTTP Mode

Optional Global Init File

A global init file can be placed in the configured hive.server2.global.init.file.location location (Hive 0.14 onward, see HIVE-5160, HIVE-7497, and HIVE-8138). This can be either the path to the init file itself, or a directory where an init file named ".hiverc" is expected.

The init file lists a set of commands that will run for users of this HiveServer2 instance, such as register a standard set of jars and functions.

Logging Configuration

HiveServer2 operation logs are available for Beeline clients (Hive 0.14 onward). These parameters configure logging:

• hive.server2.logging.operation.enabled
• hive.server2.logging.operation.log.location
• hive.server2.logging.operation.verbose (Hive 0.14 to 1.1)
• hive.server2.logging.operation.level (Hive 1.2 onward)

How to Start

$HIVE_HOME/bin/hiveserver2

OR

$HIVE_HOME/bin/hive --service hiveserver2

Usage Message

The -H or --help option displays a usage message, for example:

$HIVE_HOME/bin/hive --service hiveserver2 -H
Starting HiveServer2
usage: hiveserver2
 -H,--help                        Print help information
    --hiveconf <property=value>   Use value for given property

Authentication/Security Configuration

HiveServer2 supports Anonymous (no authentication) with and without SASL, Kerberos (GSSAPI), pass through LDAP and pluggable custom authentication, Pluggable Custom Authentication and Pluggable Authentication Modules (PAM, supported Hive 0.13 onwards).

Configuration

Impersonation

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.

To prevent memory leaks in unsecure mode, disable file system caches by setting the following parameters to true true (see HIVE-4501):

Integrity/Confidentiality Protection

Changes in HIVE-4911, which is available in Hive 0.12, enable integrity Integrity protection and confidentiality protection (beyond just the default of authentication) for communication between the Hive JDBC driver and HiveServer2 are enabled (Hive 0.12 onward, see HIVE-4911). 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.xml has to be set to one of the valid QOP values ('auth', 'auth-int' or 'auth-conf').

SSL Encryption

Support is provided for SSL encryption (Hive 0.13 onward, see HIVE-5351). To enable, set the following configurations in hive-site.xml:

Setting up SSL with self-signed certificates

Use the following steps to create and verify self-signed SSL certificates for use with HiveServer2:

1. Create the self signed certificate and add it to a keystore file using:  keytool -genkey -alias example.com -keyalg RSA -keystore keystore.jks -keysize 2048 Ensure the name used in the self signed certificate matches the hostname where HiveServer2 will run.
   

2. List the keystore entries to verify that the certificate was added. Note that a keystore can contain multiple such certificates: keytool -list -keystore keystore.jks

3. Export this certificate from keystore.jks to a certificate file: keytool -export -alias example.com -file example.com.crt -keystore keystore.jks

4. Add this certificate to the client's truststore to establish trust: keytool -import -trustcacerts -alias example.com -file example.com.crt -keystore truststore.jks

5. Verify that the certificate exists in truststore.jks: keytool -list -keystore truststore.jks

6. Then start HiveServer2, and try to connect with beeline using: jdbc:hive2://<host>:<port>/<database>;ssl=true;sslTrustStore=<path-to-truststore>;trustStorePassword=<truststore-password>

Selectively disabling SSL protocol versions

To disable specific SSL protocol versions, use the following steps:

1. Run openssl ciphers -v (or the corresponding command if not using openssl) to view all protocol versions.
2. In addition to 1, an additional step of going over the HiveServer2 logs may be required to see all the protocols that the node running HiveServer2 is supporting. For that, search for "SSL Server Socket Enabled Protocols:" in the HiveServer2 log file. 
3. Add all the SSL protocols that need to be disabled to hive.ssl.protocol.blacklist. Ensure that the property in hiveserver2-site.xml does not override that in hive-site.xml.

Pluggable Authentication Modules (PAM)

Support is provided for PAM (Hive 0.13 onward, see HIVE-6466). To configure PAM:

• Download the JPAM native library for the relevant architecture.
• Unzip and copy libjpam.so to a directory (<libjmap-directory>) on the system. 
• Add the directory to the LD_LIBRARY_PATH environment variable like so: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<libjmap-directory> 

• For some PAM modules, you'll have to ensure that your /etc/shadow and /etc/login.defs files are readable by the user running the HiveServer2 process.

Finally, set the following configurations in hive-site.xml:

Setting up HiveServer2 job credential provider

Starting Hive 2.2.0 onwards (see HIVE-14822) Hiveserver2 supports job specific hadoop credential provider for MR and Spark jobs. When using encrypted passwords via the Hadoop Credential Provider, HiveServer2 needs to forward enough information to the job configuration so that jobs launched across cluster can read those secrets. Additionally, HiveServer2 may have secrets that the job should not have such as the Hive Metastore database password. If your job needs to access such secrets, like S3 credentials, then you can configure them using the configuration steps below:

1. Create a job-specific keystore using Hadoop Credential Provider API at a secure location in HDFS. This keystore should contain the encrypted key/value pairs of the configurations needed by jobs. Eg: in case of S3 credentials the keystore should contain fs.s3a.secret.key and fs.s3a.access.key with their corresponding values.
2. The password to decrypt the keystore should be set as a HiveServer2 environment variable called HIVE_JOB_CREDSTORE_PASSWORD
3. Set  hive.server2.job.credential.provider.path to URL pointing to the type and location of keystore created in (1) above. If there is no job-specific keystore, HiveServer2 will use the one set using hadoop.credential.provider.path in core-site.xml if available.
4. If the password using environment variable set in step 2 is not provided, HiveServer2 will use HADOOP_CREDSTORE_PASSWORD environment variable if available.
5. HiveServer2 will now modify the job configuration of the jobs launched using MR or Spark execution engines to include the job credential provider so that job tasks can access the encrypted keystore with the secrets. 

Scratch Directory Management

HiveServer2 allows the configuration of various aspects of scratch directories, which are used by Hive to store temporary output and plans.

Configuration Properties

The following are the properties that can be configured related to scratch directories:

• hive.scratchdir.lock
• hive.exec.scratchdir
• hive.scratch.dir.permission
• hive.start.cleanup.scratchdir

ClearDanglingScratchDir Tool

The tool cleardanglingscratchdir can be run to clean up any dangling scratch directories that might be left over from improper shutdowns of Hive, such as when a virtual machine restarts and leaves no chance for Hive to run the shutdown hook.

hive --service cleardanglingscratchdir [-r] [-v] [-s scratchdir]
    -r   	dry-run mode, which produces a list on console
	-v   	verbose mode, which prints extra debugging information
	-s   	if you are using non-standard scratch directory

The tool tests if a scratch directory is in use, and if not, will remove it. This relies on HDFS write locks to detect if a scratch directory is in use. An HDFS client opens an HDFS file ($scratchdir/inuse.lck) for writing and only closes it at the time that the session is closed. cleardanglingscratchdir will try to open $scratchdir/inuse.lck for writing to test if the corresponding HiveCli/HiveServer2 is still running. If the lock is in use, the scratch directory will not be cleared. If the lock is available, the scratch directory will be cleared. Note that it might take NameNode up to 10 minutes to reclaim the lease on scratch file locks from a dead HiveCli/HiveServer2, at which point cleardanglingscratchdir will be able to remove it if run again.

Web UI for HiveServer2

A Web User Interface (UI) for HiveServer2 provides configuration, logging, metrics and active session information. The Web UI is available at port 10002 (127.0.0.1:10002) by default.  

• Configuration properties for the Web UI can be customized in hive-site.xml, including hive.server2.webui.host, hive.server2.webui.port, hive.server2.webui.max.threads, and others. 
• Hive Metrics can by viewed by using the "Metrics Dump" tab. 
• Logs can be viewed by using the "Local logs" tab.
  

The interface is currently under development with HIVE-12338.

Image Added

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.

The driver has been certified for use with Python 2.6 and newer.

To use the pyhs2 driver:

pip install pyhs2

and then:

import pyhs2

connwith = pyhs2.connect(host='localhost', 
					
                   port=10000,
					                   authMechanism="PLAIN", 
					
                   user='root', 
					
                   password='test', 
					
                   database='default')
cur = as conn:
    with conn.cursor() as cur:
    	#Show databases
    	print cur.getDatabases()

    	#Execute query
        cur.execute("show tables")
select * from table")
 
        #Return column info from query
        print cur.getSchema()

        #Fetch table results
        for i in cur.fetch():
	            print i
cur.close()
conn.close()

You can discuss this driver on the user@hive.apache.org mailing list.

Ruby Client Driver

A Ruby client driver is available on github at https://github.com/forward3d/rbhive.