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Apache Hive Cookbook
Apache Hive Cookbook

Apache Hive Cookbook:

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Profile Icon Hanish Bansal Profile Icon Saurabh Chauhan Profile Icon Shrey Mehrotra
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Profile Icon Hanish Bansal Profile Icon Saurabh Chauhan Profile Icon Shrey Mehrotra
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₹3649.99
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Paperback Apr 2016 268 pages 1st Edition
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Apache Hive Cookbook

Chapter 2. Services in Hive

In the previous chapter, you learned how we could install Hive with different metastore configurations. We also have gone through Hive clients and Hive services in brief.

In this chapter, we will cover the following recipes in detail:

  • Introducing HiveServer2
  • Understanding HiveServer2 properties
  • Configuring HiveServer2 high availability
  • Using HiveServer2 clients
  • Introducing the Hive metastore service
  • Configuring high availability of metastore service
  • Introducing Hue

Introducing HiveServer2

HiveServer2 is an enhancement of HiveServer provided in earlier versions of Hive. The major limitations of HiveServer related to concurrency and authentication is resolved in HiveServer2. HiveServer2 is based on Thrift RPC. It supports multiple types of clients, including JDBC and ODBC.

How to do it…

Assuming that you have installed Hive on your machine, as explained in Chapter 1, Developing Hive. Before starting HiveServer2, you need to add the following property to hive-site.xml:

<property>
    <name>hive.server2.thrift.port</name>
    <value>10000</value>
    <description>TCP port number to listen on, default 10000
    </description>
</property>

Starting HiveServer2 is easy. All you need to do is run the following command on the terminal of your machine, as shown in the following screenshots:

# hive --service hiveserver2 &
How to do it…
How to do it…

How it works…

Let's look into the series of actions that starts with HiveServer2...

Understanding HiveServer2 properties

By default, HiveServer2 is started with default configurations. The configurations are mainly related to the port and host on which the server is going to start and number of threads that could be configured for client and background operations.

How to do it…

You can change the default properties for HiveServer2 by overriding the value in hive-site.xml in the conf folder of Hive package.

Property

Default Value

Description

hive.server2.thrift.port

10000

HiveServer2 thrift interface

hive.server2.thrift.bind.host

localhost

HiveServer2 bind host

hive.server2.thrift.min.worker.threads

5

Minimum thrift worker threads

hive.server2.thrift.max.worker.threads

500

Maximum thrift worker threads

hive.server2.authentication

None

None/LDAP/KERBEROS/PAM/NOSASL

hive.server2.authentication.kerberos.keytab

""

A keytab file for kerberos principal

hive.server2.authentication.kerberos.principal

""

The Kerberos principal

hive...

Configuring HiveServer2 high availability

HiveServer2 for a cluster of thousands of nodes could be a single point of failure if HiveServer2 is not configured with a high availability concept. If HiveServer2 service goes down, none of the clients would be able to access metastore or submit Hive queries to cluster. To solve this limitation, high availability of HiveServer2 is configured. It needs a ZooKeeper quorum running on a set of nodes.

ZooKeeper is an open source centralized service for providing coordination between distributed applications. It is also used to store some common configuration and metadata to provide distributed synchronization. Hive uses ZooKeeper to store configuration information to provide high availability of HiveServer2.

Getting ready

For configuring high availability of HiveServer2, you will need a ZooKeeper quorum running.

Tip

The installation of ZooKeeper is not in the scope of this book. You can refer to the following links for the installation of ZooKeeper.

  • Refer...

Using HiveServer2 clients

Once we started HiveServer2, we could connect to the server with different clients as per our requirements and run Hive Query Language (HiveQL). The different client includes beeline, JDBC, ODBC, and so on. We will be going through each client in detail.

Getting ready

This recipe requires Hive installed as described in the Installing Hive recipe of Chapter 1, Developing Hive. For connecting with HiveServer2 using a client, you must run HiveServer2, as described in the Introducing HiveServer2 recipe in this chapter.

How to do it…

There are multiple ways of connecting with HiveServer2, as described in the following sections.

Beeline

Beeline is a shell client that could be executed from the terminal by running the following command:

beeline

Once you enter the beeline shell, you can make a connection to the HiveServer2 service as a user using the following command:

!connect jdbc:hive2://localhost:10000 scott tiger org.apache.hive.jdbc.HiveDriver

If the connection is...

Introducing the Hive metastore service

In Hive, the data is stored in HDFS and the table, database, schema, and other HQL definitions are stored in a metastore. The metastore could be any RDBMS database, such as MySQL or Oracle. Hive creates a database and a set of tables in metastore to store HiveQL definitions.

There are three modes of configuring a metastore:

  • Embedded
  • Local
  • Remote

The detailed description and configuration steps of different modes are available in Chapter 1, Developing Hive.

How to do it…

The Hive metastore could be made available as a service. All you need to do is run the following command on the terminal of your machine:

hive --service metastore
How to do it…

How it works…

In the case of a remote metastore configuration, all clients connect to the metastore service to query the underlying datastore (MySQL, Oracle, and so on). The communication is done through the Thrift protocol. At the client's side, a user needs to add the following configurations to make the client...

Configuring high availability of metastore service

The Hive metastore service is a single point of communication between different clients and metastore data. If the metastore service is down or unavailable, then clients would not be able to run any HiveQL as metastore data is not accessible.

How to do it…

The High Availability solution is designed to provide the failover control of the Hive metastore service. To configure metastore in the High Availability mode, you need to concurrently start the metastore service on multiple machines. Every client will read the hive.metastore.uris property from the configuration file. The property could have a comma-separated list of machines on which metastore services are running:

<property>
    <name>hive.metastore.uris</name>
    <value>thrift://$Hive_Metastore_Server_Host_Machine_FQDN</value>
    <description> A comma separated list of metastore uris on which metastore service is running.</description&gt...

Introducing HiveServer2


HiveServer2 is an enhancement of HiveServer provided in earlier versions of Hive. The major limitations of HiveServer related to concurrency and authentication is resolved in HiveServer2. HiveServer2 is based on Thrift RPC. It supports multiple types of clients, including JDBC and ODBC.

How to do it…

Assuming that you have installed Hive on your machine, as explained in Chapter 1, Developing Hive. Before starting HiveServer2, you need to add the following property to hive-site.xml:

<property>
    <name>hive.server2.thrift.port</name>
    <value>10000</value>
    <description>TCP port number to listen on, default 10000
    </description>
</property>

Starting HiveServer2 is easy. All you need to do is run the following command on the terminal of your machine, as shown in the following screenshots:

# hive --service hiveserver2 &

How it works…

Let's look into the series of actions that starts with HiveServer2:

  • A Java service...

Left arrow icon Right arrow icon

Key benefits

  • Grasp a complete reference of different Hive topics.
  • Get to know the latest recipes in development in Hive including CRUD operations
  • Understand Hive internals and integration of Hive with different frameworks used in today’s world.

Description

Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today’s Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.

Who is this book for?

The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required

What you will learn

  • Learn different features and offering on the latest Hive
  • Understand the working and structure of the Hive internals
  • Get an insight on the latest development in Hive framework
  • Grasp the concepts of Hive Data Model
  • Master the key concepts like Partition, Buckets and Statistics
  • Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc
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Length: 268 pages
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Table of Contents

13 Chapters
1. Developing Hive Chevron down icon Chevron up icon
2. Services in Hive Chevron down icon Chevron up icon
3. Understanding the Hive Data Model Chevron down icon Chevron up icon
4. Hive Data Definition Language Chevron down icon Chevron up icon
5. Hive Data Manipulation Language Chevron down icon Chevron up icon
6. Hive Extensibility Features Chevron down icon Chevron up icon
7. Joins and Join Optimization Chevron down icon Chevron up icon
8. Statistics in Hive Chevron down icon Chevron up icon
9. Functions in Hive Chevron down icon Chevron up icon
10. Hive Tuning Chevron down icon Chevron up icon
11. Hive Security Chevron down icon Chevron up icon
12. Hive Integration with Other Frameworks Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(4 Ratings)
5 star 0%
4 star 50%
3 star 25%
2 star 0%
1 star 25%
Mukesh Rao Oct 24, 2016
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Good book to get a wide exposure to Hive...
Amazon Verified review Amazon
shubha Jul 05, 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Good book for beginners. More details would have been useful.
Amazon Verified review Amazon
Shopper Oct 05, 2016
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
It's just ok, explanations are not in detail.
Amazon Verified review Amazon
Sap Jan 24, 2020
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Hive Sucks
Amazon Verified review Amazon
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