druid/docs/tutorials/tutorial-batch-hadoop.md

---
id: tutorial-batch-hadoop
title: "Tutorial: Load batch data using Apache Hadoop"
sidebar_label: "Load from Apache Hadoop"
---

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This tutorial shows you how to load data files into Apache Druid using a remote Hadoop cluster.

For this tutorial, we'll assume that you've already completed the previous
[batch ingestion tutorial](tutorial-batch.md) using Druid's native batch ingestion system and are using the
automatic single-machine configuration as described in the [quickstart](../operations/single-server.md).

## Install Docker

This tutorial requires [Docker](https://docs.docker.com/install/) to be installed on the tutorial machine.

Once the Docker install is complete, please proceed to the next steps in the tutorial.

## Build the Hadoop docker image

For this tutorial, we've provided a Dockerfile for a Hadoop 2.8.5 cluster, which we'll use to run the batch indexing task.

This Dockerfile and related files are located at `quickstart/tutorial/hadoop/docker`.

From the apache-druid-{{DRUIDVERSION}} package root, run the following commands to build a Docker image named "druid-hadoop-demo" with version tag "2.8.5":

```bash
cd quickstart/tutorial/hadoop/docker
docker build -t druid-hadoop-demo:2.8.5 .
```

This will start building the Hadoop image. Once the image build is done, you should see the message `Successfully tagged druid-hadoop-demo:2.8.5` printed to the console.

## Setup the Hadoop docker cluster

### Create temporary shared directory

We'll need a shared folder between the host and the Hadoop container for transferring some files.

Let's create some folders under `/tmp`, we will use these later when starting the Hadoop container:

```bash
mkdir -p /tmp/shared
mkdir -p /tmp/shared/hadoop_xml
```

### Configure /etc/hosts

On the host machine, add the following entry to `/etc/hosts`:

```
127.0.0.1 druid-hadoop-demo
```

### Start the Hadoop container

Once the `/tmp/shared` folder has been created and the `etc/hosts` entry has been added, run the following command to start the Hadoop container.

```bash
docker run -it  -h druid-hadoop-demo --name druid-hadoop-demo -p 2049:2049 -p 2122:2122 -p 8020:8020 -p 8021:8021 -p 8030:8030 -p 8031:8031 -p 8032:8032 -p 8033:8033 -p 8040:8040 -p 8042:8042 -p 8088:8088 -p 8443:8443 -p 9000:9000 -p 10020:10020 -p 19888:19888 -p 34455:34455 -p 49707:49707 -p 50010:50010 -p 50020:50020 -p 50030:50030 -p 50060:50060 -p 50070:50070 -p 50075:50075 -p 50090:50090 -p 51111:51111 -v /tmp/shared:/shared druid-hadoop-demo:2.8.5 /etc/bootstrap.sh -bash
```

Once the container is started, your terminal will attach to a bash shell running inside the container:

```bash
Starting sshd:                                             [  OK  ]
18/07/26 17:27:15 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [druid-hadoop-demo]
druid-hadoop-demo: starting namenode, logging to /usr/local/hadoop/logs/hadoop-root-namenode-druid-hadoop-demo.out
localhost: starting datanode, logging to /usr/local/hadoop/logs/hadoop-root-datanode-druid-hadoop-demo.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-root-secondarynamenode-druid-hadoop-demo.out
18/07/26 17:27:31 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
starting yarn daemons
starting resourcemanager, logging to /usr/local/hadoop/logs/yarn--resourcemanager-druid-hadoop-demo.out
localhost: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-root-nodemanager-druid-hadoop-demo.out
starting historyserver, logging to /usr/local/hadoop/logs/mapred--historyserver-druid-hadoop-demo.out
bash-4.1#
```

The `Unable to load native-hadoop library for your platform... using builtin-java classes where applicable` warning messages can be safely ignored.

#### Accessing the Hadoop container shell

To open another shell to the Hadoop container, run the following command:

```
docker exec -it druid-hadoop-demo bash
```

### Copy input data to the Hadoop container

From the apache-druid-{{DRUIDVERSION}} package root on the host, copy the `quickstart/tutorial/wikiticker-2015-09-12-sampled.json.gz` sample data to the shared folder:

```bash
cp quickstart/tutorial/wikiticker-2015-09-12-sampled.json.gz /tmp/shared/wikiticker-2015-09-12-sampled.json.gz
```

### Setup HDFS directories

In the Hadoop container's shell, run the following commands to setup the HDFS directories needed by this tutorial and copy the input data to HDFS.

```bash
cd /usr/local/hadoop/bin
./hdfs dfs -mkdir /druid
./hdfs dfs -mkdir /druid/segments
./hdfs dfs -mkdir /quickstart
./hdfs dfs -chmod 777 /druid
./hdfs dfs -chmod 777 /druid/segments
./hdfs dfs -chmod 777 /quickstart
./hdfs dfs -chmod -R 777 /tmp
./hdfs dfs -chmod -R 777 /user
./hdfs dfs -put /shared/wikiticker-2015-09-12-sampled.json.gz /quickstart/wikiticker-2015-09-12-sampled.json.gz
```

If you encounter namenode errors when running this command, the Hadoop container may not be finished initializing. When this occurs, wait a couple of minutes and retry the commands.

## Configure Druid to use Hadoop

Some additional steps are needed to configure the Druid cluster for Hadoop batch indexing.

### Copy Hadoop configuration to Druid classpath

From the Hadoop container's shell, run the following command to copy the Hadoop .xml configuration files to the shared folder:

```bash
cp /usr/local/hadoop/etc/hadoop/*.xml /shared/hadoop_xml
```

From the host machine, run the following, where {PATH_TO_DRUID} is replaced by the path to the Druid package.

```bash
mkdir -p {PATH_TO_DRUID}/conf/druid/single-server/micro-quickstart/_common/hadoop-xml
cp /tmp/shared/hadoop_xml/*.xml {PATH_TO_DRUID}/conf/druid/single-server/micro-quickstart/_common/hadoop-xml/
```

### Update Druid segment and log storage

In your favorite text editor, open `conf/druid/auto/_common/common.runtime.properties`, and make the following edits:

#### Disable local deep storage and enable HDFS deep storage

```
#
# Deep storage
#

# For local disk (only viable in a cluster if this is a network mount):
#druid.storage.type=local
#druid.storage.storageDirectory=var/druid/segments

# For HDFS:
druid.storage.type=hdfs
druid.storage.storageDirectory=/druid/segments
```


#### Disable local log storage and enable HDFS log storage

```
#
# Indexing service logs
#

# For local disk (only viable in a cluster if this is a network mount):
#druid.indexer.logs.type=file
#druid.indexer.logs.directory=var/druid/indexing-logs

# For HDFS:
druid.indexer.logs.type=hdfs
druid.indexer.logs.directory=/druid/indexing-logs

```

### Restart Druid cluster

Once the Hadoop .xml files have been copied to the Druid cluster and the segment/log storage configuration has been updated to use HDFS, the Druid cluster needs to be restarted for the new configurations to take effect.

If the cluster is still running, CTRL-C to terminate the `bin/start-druid` script, and re-run it to bring the Druid services back up.

## Load batch data

We've included a sample of Wikipedia edits from September 12, 2015 to get you started.

To load this data into Druid, you can submit an *ingestion task* pointing to the file. We've included
a task that loads the `wikiticker-2015-09-12-sampled.json.gz` file included in the archive.

Let's submit the `wikipedia-index-hadoop.json` task:

```bash
bin/post-index-task --file quickstart/tutorial/wikipedia-index-hadoop.json --url http://localhost:8081
```

## Querying your data

After the data load is complete, please follow the [query tutorial](../tutorials/tutorial-query.md) to run some example queries on the newly loaded data.

## Cleanup

This tutorial is only meant to be used together with the [query tutorial](../tutorials/tutorial-query.md).

If you wish to go through any of the other tutorials, you will need to:
* Shut down the cluster and reset the cluster state by removing the contents of the `var` directory under the druid package.
* Revert the deep storage and task storage config back to local types in `conf/druid/auto/_common/common.runtime.properties`
* Restart the cluster

This is necessary because the other ingestion tutorials will write to the same "wikipedia" datasource, and later tutorials expect the cluster to use local deep storage.

Example reverted config:

```
#
# Deep storage
#

# For local disk (only viable in a cluster if this is a network mount):
druid.storage.type=local
druid.storage.storageDirectory=var/druid/segments

# For HDFS:
#druid.storage.type=hdfs
#druid.storage.storageDirectory=/druid/segments

#
# Indexing service logs
#

# For local disk (only viable in a cluster if this is a network mount):
druid.indexer.logs.type=file
druid.indexer.logs.directory=var/druid/indexing-logs

# For HDFS:
#druid.indexer.logs.type=hdfs
#druid.indexer.logs.directory=/druid/indexing-logs

```

## Further reading

For more information on loading batch data with Hadoop, please see [the Hadoop batch ingestion documentation](../ingestion/hadoop.md).