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Merge pull request #9 from AhyoungRyu/ZEPPELIN-1280-ahyoung

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Minor update for spark_cluster_mode.md
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HyungSung 2016-08-11 14:55:20 +09:00 committed by GitHub
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docs/install/spark_cluster_mode.md
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@ -1,7 +1,7 @@
---
layout: page
title: "Apache Zeppelin on Spark cluster mode"
description: ""
description: "This document will guide you how you can build and configure the environment on 3 types of Spark cluster manager with Apache Zeppelin using docker scripts."
group: install
---
<!--
@ -56,12 +56,12 @@ spark_standalone bash;
```
### 3. Configure Spark interpreter in Zeppelin
Set Spark master as `spark://localhost:7077` in Zeppelin **Interpreters** setting page.
Set Spark master as `spark://<hostname>:7077` in Zeppelin **Interpreters** setting page.
<img src="../assets/themes/zeppelin/img/docs-img/standalone_conf.png" />
### 4. Run Zeppelin with Spark interpreter
After running single paragraph with Spark interpreter in Zeppelin, browse `https://localhost:8080` and check whether Spark cluster is running well or not.
After running single paragraph with Spark interpreter in Zeppelin, browse `https://<hostname>:8080` and check whether Spark cluster is running well or not.
<img src="../assets/themes/zeppelin/img/docs-img/spark_ui.png" />
@ -73,7 +73,7 @@ ps -ef | grep spark
## Spark on Yarn mode
You can simply set up [Spark on Yarn](http://spark.apache.org/docs/latest/running-on-yarn.html) docker environment with below steps.
You can simply set up [Spark on Yarn](http://spark.apache.org/docs/latest/running-on-yarn.html) environment with below steps using Docker scripts.
> **Note :** Since Apache Zeppelin and Spark use same `8080` port for their web UI, you might need to change `zeppelin.server.port` in `conf/zeppelin-site.xml`.
@ -113,31 +113,30 @@ docker run -it \
### 3. Verify running Spark on Yarn.
You can simply verify the processes of Spark and Yarn is running well in Docker with below command.
You can simply verify the processes of Spark and Yarn are running well in Docker with below command.
```
ps -ef
ps -ef | grep spark
```
and also You can see the hdfs web ui on `http://localhost:50070/` and yarn ui on `http://localhost:8088/cluster` and spark ui on `http://localhost:8080/`.
You can also check each application web UI for HDFS on `http://<hostname>:50070/`, YARN on `http://<hostname>:8088/cluster` and Spark on `http://<hostname>:8080/`.
### 4. Configure Spark interpreter in Zeppelin
Set following configurations to the `zeppelin-env.sh`.
Set following configurations to `conf/zeppelin-env.sh`.
```
export MASTER=yarn-client
export HADOOP_CONF_DIR=[PATH OF HADOOP CONF]
export SPARK_HOME=[PATH OF SPARK HOME]
export HADOOP_CONF_DIR=[your_hadoop_conf_path]
export SPARK_HOME=[your_spark_home_path]
```
Hadoop configuration path(HADOOP_CONF_DIR) is the `scripts/docker/spark-cluster-managers/spark_yarn_cluster/hdfs_conf`.
Please make sure the spark master as `yarn-client` in Zeppelin **Interpreters** setting page.
`HADOOP_CONF_DIR`(Hadoop configuration path) is defined in `/scripts/docker/spark-cluster-managers/spark_yarn_cluster/hdfs_conf`.
Don't forget to set Spark `master` as `yarn-client` in Zeppelin **Interpreters** setting page like below.
<img src="../assets/themes/zeppelin/img/docs-img/zeppelin_yarn_conf.png" />
### 5. Run Zeppelin with Spark interpreter
After running single paragraph with Spark interpreter in Zeppelin, browse `http://localhost:8088/cluster/apps` and check zeppelin application running well or not.
After running a single paragraph with Spark interpreter in Zeppelin, browse `http://<hostname>:8088/cluster/apps` and check Zeppelin application is running well or not.
<img src="../assets/themes/zeppelin/img/docs-img/yarn_applications.png" />