Skip to Content
Cloudera Impala
book

Cloudera Impala

by John Russell
November 2013
Intermediate to advanced
34 pages
33m
English
O'Reilly Media, Inc.
Content preview from Cloudera Impala

Coming to Impala from a Unix or Linux Background

If you are a Unix-oriented tools hacker, Impala fits in nicely at the tail end of your workflow. You create data files with a wide choice of formats for convenience, compactness, or interoperability with different Apache Hadoop components. You tell Impala where those data files are and what fields to expect inside them. That’s it! Then, let the SQL queries commence. You can see the results of queries in a terminal window through the impala-shell command, save them in a file to process with other scripts or applications, or pull them straight into a visualizer or report application through the standard ODBC or JDBC interfaces. It’s transparent to you that behind the scenes, the data is spread across multiple storage devices and processed by multiple servers.

Administration

When you administer Impala, it is a straightforward matter of some daemons communicating with each other through a predefined set of ports. There is an impalad daemon that runs on each data node in the cluster and does most of the work, a statestored daemon that runs on one node and performs periodic health checks on the impalad daemons, and the roadmap includes one more planned service. Log files show the Impala activity occurring on each node.

Administration for Impala is typically folded into administration for the overall cluster through the Cloudera Manager product. You monitor all nodes for out-of-space problems, CPU spikes, network failures, and so on, rather ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Butch Quinto
Getting Started with Kudu

Getting Started with Kudu

Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland, Ryan Bosshart
Apache Hadoop™ YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop™ 2

Apache Hadoop™ YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop™ 2

Arun C. Murthy, Vinod Kumar Vavilapalli, Doug Eadline, Joseph Niemiec, Jeff Markham

Publisher Resources

ISBN: 9781491949474Errata