Getting Started with Big Data Query using Apache Impala
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About this ebook
* Introduction to Apache Impala
* Working with Apache Impala Shell
* SQL Querying with Apache Hue and Apache Impala
* Loading Dataset to Apache Impala
* Basic SQL Query for Apache Impala
* Joining Query and Subquery on Apache Impala
* Partition Data on Apache Impala
* Apache Impala Database Programming with Java
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Getting Started with Big Data Query using Apache Impala - Agus Kurniawan
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1. Introduction to Apache Impala
1.1 Introduction
Apache Impala is a modern, open source, distributed SQL query engine for Apache Hadoop. With Impala, we can query data, whether stored in HDFS, Apache Hive or Apache HBase – including SELECT, JOIN, and aggregate functions. You can find the official project on this link, https://impala.apache.org/. In this book, we learn how to perform queries on Apache Impala.
1.2 Installing Apache Impala
In this section, I use Cloudera Manager to install Apache Impala. You can install Apache Impala to Linux manually. You can see my Cloudera Manager in Figure below.
m1-1To add Hadoop service using Cloudera Manager, you can can click Add Server on a context menu as shown in Figure below.
m1-2After clicked, you can install Apache Impala. Make sure you also install HDFS, HBASE and Hue.
m1-3Once installed, we can start to work with Apache Impala.
1.3 Setting up Lab Demo
You can set up Apache Impala with Cloudera Manager or own Linux. For demo, I use Apache Impala on Cloudera environment. I deployed Apache Impala on Ubuntu Linux.
2. Working with Apache Impala Shell
2.1 Introduction
Apache Impala provide a service and a shell. In this chapter, we learn how to work with Apache Impala shell. To show Impala shell version, you can type this command.
You will see Impala shell on your Terminal. You can see my Impala shell version is shown in Figure below.
m2-1Next, we will work with Impala shell.
2.2 Connecting to Apache Impala Service
To start Impala shell, you open a Terminal on your Apache Impala server. Then, type this command.
This will connect to your