Table of Contents

Druid Quickstart

In this quickstart, we will download Druid and set it up on a single machine. The cluster will be ready to load data after completing this initial setup.

Before beginning the quickstart, it is helpful to read the general Druid overview and the ingestion overview, as the tutorials will refer to concepts discussed on those pages.

Prerequisites

You will need:

  • Java 8
  • Linux, Mac OS X, or other Unix-like OS (Windows is not supported)
  • 8G of RAM
  • 2 vCPUs

On Mac OS X, you can use Oracle's JDK 8 to install Java.

On Linux, your OS package manager should be able to help for Java. If your Ubuntu- based OS does not have a recent enough version of Java, WebUpd8 offers packages for those OSes.

Getting started

Download the 0.13.0-incubating release.

Extract Druid by running the following commands in your terminal:

tar -xzf apache-druid-0.13.0-incubating-bin.tar.gz
cd apache-druid-0.13.0-incubating

In the package, you should find:

  • DISCLAIMER, LICENSE, and NOTICE files
  • bin/* - scripts useful for this quickstart
  • conf/* - template configurations for a clustered setup
  • extensions/* - core Druid extensions
  • hadoop-dependencies/* - Druid Hadoop dependencies
  • lib/* - libraries and dependencies for core Druid
  • quickstart/* - configuration files, sample data, and other files for the quickstart tutorials

Download Zookeeper

Druid has a dependency on Apache ZooKeeper for distributed coordination. You'll need to download and run Zookeeper.

In the package root, run the following commands:

curl https://archive.apache.org/dist/zookeeper/zookeeper-3.4.11/zookeeper-3.4.11.tar.gz -o zookeeper-3.4.11.tar.gz
tar -xzf zookeeper-3.4.11.tar.gz
mv zookeeper-3.4.11 zk

The startup scripts for the tutorial will expect the contents of the Zookeeper tarball to be located at zk under the apache-druid-0.13.0-incubating package root.

Start up Druid services

From the apache-druid-0.13.0-incubating package root, run the following command:

bin/supervise -c quickstart/tutorial/conf/tutorial-cluster.conf

This will bring up instances of Zookeeper and the Druid services, all running on the local machine, e.g.:

bin/supervise -c quickstart/tutorial/conf/tutorial-cluster.conf
[Thu Jul 26 12:16:23 2018] Running command[zk], logging to[/stage/apache-druid-0.13.0-incubating/var/sv/zk.log]: bin/run-zk quickstart/tutorial/conf
[Thu Jul 26 12:16:23 2018] Running command[coordinator], logging to[/stage/apache-druid-0.13.0-incubating/var/sv/coordinator.log]: bin/run-druid coordinator quickstart/tutorial/conf
[Thu Jul 26 12:16:23 2018] Running command[broker], logging to[//stage/apache-druid-0.13.0-incubating/var/sv/broker.log]: bin/run-druid broker quickstart/tutorial/conf
[Thu Jul 26 12:16:23 2018] Running command[historical], logging to[/stage/apache-druid-0.13.0-incubating/var/sv/historical.log]: bin/run-druid historical quickstart/tutorial/conf
[Thu Jul 26 12:16:23 2018] Running command[overlord], logging to[/stage/apache-druid-0.13.0-incubating/var/sv/overlord.log]: bin/run-druid overlord quickstart/tutorial/conf
[Thu Jul 26 12:16:23 2018] Running command[middleManager], logging to[/stage/apache-druid-0.13.0-incubating/var/sv/middleManager.log]: bin/run-druid middleManager quickstart/tutorial/conf

All persistent state such as the cluster metadata store and segments for the services will be kept in the var directory under the apache-druid-0.13.0-incubating package root. Logs for the services are located at var/sv.

Later on, if you'd like to stop the services, CTRL-C to exit the bin/supervise script, which will terminate the Druid processes.

Resetting cluster state

If you want a clean start after stopping the services, delete the var directory and run the bin/supervise script again.

Once every service has started, you are now ready to load data.

Resetting Kafka

If you completed Tutorial: Loading stream data from Kafka and wish to reset the cluster state, you should additionally clear out any Kafka state.

Shut down the Kafka broker with CTRL-C before stopping Zookeeper and the Druid services, and then delete the Kafka log directory at /tmp/kafka-logs:

rm -rf /tmp/kafka-logs

Loading Data

Tutorial Dataset

For the following data loading tutorials, we have included a sample data file containing Wikipedia page edit events that occurred on 2015-09-12.

This sample data is located at quickstart/tutorial/wikiticker-2015-09-12-sampled.json.gz from the Druid package root. The page edit events are stored as JSON objects in a text file.

The sample data has the following columns, and an example event is shown below:

  • added
  • channel
  • cityName
  • comment
  • countryIsoCode
  • countryName
  • deleted
  • delta
  • isAnonymous
  • isMinor
  • isNew
  • isRobot
  • isUnpatrolled
  • metroCode
  • namespace
  • page
  • regionIsoCode
  • regionName
  • user
{
  "timestamp":"2015-09-12T20:03:45.018Z",
  "channel":"#en.wikipedia",
  "namespace":"Main",
  "page":"Spider-Man's powers and equipment",
  "user":"foobar",
  "comment":"/* Artificial web-shooters */",
  "cityName":"New York",
  "regionName":"New York",
  "regionIsoCode":"NY",
  "countryName":"United States",
  "countryIsoCode":"US",
  "isAnonymous":false,
  "isNew":false,
  "isMinor":false,
  "isRobot":false,
  "isUnpatrolled":false,
  "added":99,
  "delta":99,
  "deleted":0,
}

The following tutorials demonstrate various methods of loading data into Druid, including both batch and streaming use cases.

Tutorial: Loading a file

This tutorial demonstrates how to perform a batch file load, using Druid's native batch ingestion.

Tutorial: Loading stream data from Kafka

This tutorial demonstrates how to load streaming data from a Kafka topic.

Tutorial: Loading a file using Hadoop

This tutorial demonstrates how to perform a batch file load, using a remote Hadoop cluster.

Tutorial: Loading data using Tranquility

This tutorial demonstrates how to load streaming data by pushing events to Druid using the Tranquility service.

Tutorial: Writing your own ingestion spec

This tutorial demonstrates how to write a new ingestion spec and use it to load data.