├── 2.3.0 ├── Dockerfile ├── core-site.xml ├── hdfs-site.xml ├── mapred-site.xml └── yarn-site.xml ├── 2.6.0 ├── Dockerfile ├── conf │ ├── core-site.xml │ ├── hdfs-site.xml │ ├── mapred-site.xml │ └── yarn-site.xml ├── docker-compose.yml └── start-yarn.sh ├── 3.3.6 ├── Dockerfile ├── conf │ ├── core-site.xml │ ├── hdfs-site.xml │ ├── mapred-site.xml │ └── yarn-site.xml ├── docker-compose.yml └── start-yarn.sh ├── LICENSE └── README.md /2.3.0/Dockerfile: -------------------------------------------------------------------------------- 1 | # Building the image using my Oracle JDK 7 2 | FROM gelog/java:openjdk7 3 | 4 | MAINTAINER Francois Langelier 5 | 6 | ENV WGET_VERSION 1.15-1ubuntu1.14.04.1 7 | # Setting HADOOP environment variables 8 | ENV HADOOP_VERSION 2.3.0 9 | ENV HADOOP_INSTALL /usr/local/hadoop 10 | ENV PATH $PATH:$HADOOP_INSTALL/bin 11 | ENV PATH $PATH:$HADOOP_INSTALL/sbin 12 | ENV HADOOP_MAPRED_HOME $HADOOP_INSTALL 13 | ENV HADOOP_COMMON_HOME $HADOOP_INSTALL 14 | ENV HADOOP_HDFS_HOME $HADOOP_INSTALL 15 | ENV HADOOP_COMMON_LIB_NATIVE_DIR $HADOOP_INSTALL/lib/native 16 | ENV YARN_HOME $HADOOP_INSTALL 17 | ENV HADOOP_CONF_DIR $HADOOP_INSTALL/etc/hadoop 18 | 19 | # Installing wget 20 | RUN \ 21 | apt-get update && \ 22 | apt-get install -y wget=$WGET_VERSION && \ 23 | rm -rf /var/lib/apt/lists/* 24 | 25 | # Installing HADOOP 26 | RUN wget http://archive.apache.org/dist/hadoop/core/hadoop-$HADOOP_VERSION/hadoop-$HADOOP_VERSION.tar.gz && \ 27 | tar -zxf /hadoop-$HADOOP_VERSION.tar.gz && \ 28 | rm /hadoop-$HADOOP_VERSION.tar.gz && \ 29 | mv hadoop-$HADOOP_VERSION /usr/local/hadoop && \ 30 | mkdir -p /usr/local/hadoop/logs 31 | 32 | # Creating symlink for HADOOP configuration files 33 | VOLUME /data 34 | 35 | # Copying default HADOOP configuration files 36 | ADD https://raw.githubusercontent.com/GELOG/docker-ubuntu-hadoop/$HADOOP_VERSION/$HADOOP_VERSION/core-site.xml $HADOOP_CONF_DIR/core-site.xml 37 | ADD https://raw.githubusercontent.com/GELOG/docker-ubuntu-hadoop/$HADOOP_VERSION/$HADOOP_VERSION/yarn-site.xml $HADOOP_CONF_DIR/yarn-site.xml 38 | ADD https://raw.githubusercontent.com/GELOG/docker-ubuntu-hadoop/$HADOOP_VERSION/$HADOOP_VERSION/mapred-site.xml $HADOOP_CONF_DIR/mapred-site.xml 39 | ADD https://raw.githubusercontent.com/GELOG/docker-ubuntu-hadoop/$HADOOP_VERSION/$HADOOP_VERSION/hdfs-site.xml $HADOOP_CONF_DIR/hdfs-site.xml 40 | 41 | CMD ["hdfs"] -------------------------------------------------------------------------------- /2.3.0/core-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | fs.default.name 22 | hdfs://hdfs-namenode:9000 23 | 24 | 25 | -------------------------------------------------------------------------------- /2.3.0/hdfs-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | dfs.replication 22 | 2 23 | 24 | 25 | dfs.datanode.data.dir 26 | file:///data/dfs/data 27 | 28 | 29 | dfs.namenode.name.dir 30 | file:///data/dfs/name 31 | 32 | 33 | dfs.namenode.checkpoint.dir 34 | file:///data/dfs/namesecondary 35 | 36 | 37 | dfs.namenode.datanode.registration.ip-hostname-check 38 | false 39 | 40 | 41 | -------------------------------------------------------------------------------- /2.3.0/mapred-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | mapreduce.framework.name 22 | yarn 23 | 24 | 25 | -------------------------------------------------------------------------------- /2.3.0/yarn-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 15 | 16 | 17 | yarn.nodemanager.aux-services 18 | mapreduce_shuffle 19 | 20 | 21 | yarn.nodemanager.aux-services.mapreduce.shuffle.class 22 | org.apache.hadoop.mapred.ShuffleHandler 23 | 24 | 25 | -------------------------------------------------------------------------------- /2.6.0/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM ubuntu:14.04 2 | 3 | 4 | #################### 5 | # JAVA 6 | #################### 7 | 8 | ENV JAVA_HOME /usr/lib/jvm/java-7-openjdk-amd64 9 | 10 | RUN apt-get update && \ 11 | DEBIAN_FRONTEND=noninteractive apt-get install -y openjdk-7-jdk && \ 12 | rm -rf /var/lib/apt/lists/* 13 | 14 | 15 | 16 | #################### 17 | # HADOOP 18 | #################### 19 | 20 | ENV HADOOP_VERSION 2.6.0 21 | ENV HADOOP_HOME /usr/local/hadoop 22 | ENV HADOOP_OPTS -Djava.library.path=/usr/local/hadoop/lib/native 23 | ENV PATH $PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin 24 | 25 | RUN apt-get update && \ 26 | DEBIAN_FRONTEND=noninteractive apt-get install -y wget libzip2 libsnappy1 libssl-dev && \ 27 | wget http://archive.apache.org/dist/hadoop/core/hadoop-$HADOOP_VERSION/hadoop-$HADOOP_VERSION.tar.gz && \ 28 | apt-get remove -y wget && \ 29 | rm -rf /var/lib/apt/lists/* && \ 30 | tar -zxf /hadoop-$HADOOP_VERSION.tar.gz && \ 31 | rm /hadoop-$HADOOP_VERSION.tar.gz && \ 32 | mv hadoop-$HADOOP_VERSION /usr/local/hadoop && \ 33 | mkdir -p /usr/local/hadoop/logs 34 | 35 | 36 | # Overwrite default HADOOP configuration files with our config files 37 | COPY conf $HADOOP_HOME/etc/hadoop/ 38 | 39 | # Formatting HDFS 40 | RUN mkdir -p /data/dfs/data /data/dfs/name /data/dfs/namesecondary && \ 41 | hdfs namenode -format 42 | VOLUME /data 43 | 44 | 45 | # Helper script for starting YARN 46 | ADD start-yarn.sh /usr/local/bin/start-yarn.sh 47 | 48 | 49 | 50 | #################### 51 | # PORTS 52 | #################### 53 | # 54 | # http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.0/bk_HDP_Reference_Guide/content/reference_chap2.html 55 | # http://www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/cdh_ig_ports_cdh5.html 56 | # http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/core-default.xml 57 | # http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml 58 | 59 | # HDFS: NameNode (NN): 60 | # 8020 = fs.defaultFS (IPC / File system metadata operations) 61 | # (9000 is also frequently used alternatively) 62 | # 8022 = dfs.namenode.servicerpc-address (optional port used by HDFS daemons to avoid sharing RPC port) 63 | # 50070 = dfs.namenode.http-address (HTTP / NN Web UI) 64 | # 50470 = dfs.namenode.https-address (HTTPS / Secure UI) 65 | # HDFS: DataNode (DN): 66 | # 50010 = dfs.datanode.address (Data transfer) 67 | # 50020 = dfs.datanode.ipc.address (IPC / metadata operations) 68 | # 50075 = dfs.datanode.http.address (HTTP / DN Web UI) 69 | # 50475 = dfs.datanode.https.address (HTTPS / Secure UI) 70 | # HDFS: Secondary NameNode (SNN) 71 | # 50090 = dfs.secondary.http.address (HTTP / Checkpoint for NameNode metadata) 72 | EXPOSE 9000 50070 50010 50020 50075 50090 73 | 74 | 75 | 76 | CMD ["hdfs"] 77 | -------------------------------------------------------------------------------- /2.6.0/conf/core-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | fs.default.name 22 | hdfs://hdfs-namenode:9000 23 | 24 | 25 | -------------------------------------------------------------------------------- /2.6.0/conf/hdfs-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | dfs.replication 22 | 2 23 | 24 | 25 | dfs.datanode.data.dir 26 | file:///data/dfs/data 27 | 28 | 29 | dfs.namenode.name.dir 30 | file:///data/dfs/name 31 | 32 | 33 | dfs.namenode.checkpoint.dir 34 | file:///data/dfs/namesecondary 35 | 36 | 37 | dfs.namenode.datanode.registration.ip-hostname-check 38 | false 39 | 40 | 41 | -------------------------------------------------------------------------------- /2.6.0/conf/mapred-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | mapreduce.framework.name 22 | yarn 23 | 24 | 25 | -------------------------------------------------------------------------------- /2.6.0/conf/yarn-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 15 | 16 | 17 | yarn.nodemanager.aux-services 18 | mapreduce_shuffle 19 | 20 | 21 | yarn.nodemanager.aux-services.mapreduce.shuffle.class 22 | org.apache.hadoop.mapred.ShuffleHandler 23 | 24 | 25 | yarn.resourcemanager.hostname 26 | yarn 27 | 28 | 29 | yarn.nodemanager.hostname 30 | yarn 31 | 32 | 33 | -------------------------------------------------------------------------------- /2.6.0/docker-compose.yml: -------------------------------------------------------------------------------- 1 | namenode: 2 | image: gelog/hadoop 3 | ports: 4 | - "50070:50070" 5 | command: hdfs namenode 6 | hostname: hdfs-namenode 7 | 8 | datanode: 9 | image: gelog/hadoop 10 | command: hdfs datanode 11 | ports: 12 | # The host port is randomly assigned by Docker, to allow scaling to multiple DataNodes on the same host 13 | - "50075" 14 | links: 15 | - namenode:hdfs-namenode 16 | 17 | secondarynamenode: 18 | image: gelog/hadoop 19 | command: hdfs secondarynamenode 20 | ports: 21 | - "50090:50090" 22 | links: 23 | - namenode:hdfs-namenode 24 | -------------------------------------------------------------------------------- /2.6.0/start-yarn.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | yarn resourcemanager& 4 | yarn nodemanager 5 | -------------------------------------------------------------------------------- /3.3.6/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM ubuntu:23.10 2 | 3 | 4 | #################### 5 | # JAVA 6 | #################### 7 | 8 | ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64 9 | 10 | RUN apt-get update && \ 11 | DEBIAN_FRONTEND=noninteractive apt-get install -y openjdk-8-jdk && \ 12 | rm -rf /var/lib/apt/lists/* 13 | 14 | 15 | 16 | #################### 17 | # HADOOP 18 | #################### 19 | 20 | ENV HADOOP_VERSION 3.3.6 21 | ENV HADOOP_HOME /usr/local/hadoop 22 | ENV HADOOP_OPTS -Djava.library.path=/usr/local/hadoop/lib/native 23 | ENV PATH $PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin 24 | 25 | ENV YARN_RESOURCEMANAGER_USER root 26 | #ENV HADOOP_SECURE_DN_USER root 27 | ENV YARN_NODEMANAGER_USER root 28 | 29 | RUN apt-get update && \ 30 | DEBIAN_FRONTEND=noninteractive apt-get install -y wget libzip4 libsnappy1v5 libssl-dev && \ 31 | wget http://archive.apache.org/dist/hadoop/core/hadoop-$HADOOP_VERSION/hadoop-$HADOOP_VERSION.tar.gz && \ 32 | apt-get remove -y wget && \ 33 | rm -rf /var/lib/apt/lists/* && \ 34 | tar -zxf /hadoop-$HADOOP_VERSION.tar.gz && \ 35 | rm /hadoop-$HADOOP_VERSION.tar.gz && \ 36 | mv hadoop-$HADOOP_VERSION /usr/local/hadoop && \ 37 | mkdir -p /usr/local/hadoop/logs 38 | 39 | 40 | # Overwrite default HADOOP configuration files with our config files 41 | COPY conf $HADOOP_HOME/etc/hadoop/ 42 | 43 | # Formatting HDFS 44 | RUN mkdir -p /data/dfs/data /data/dfs/name /data/dfs/namesecondary && \ 45 | hdfs namenode -format 46 | VOLUME /data 47 | 48 | 49 | # Helper script for starting YARN 50 | ADD start-yarn.sh /usr/local/bin/start-yarn.sh 51 | 52 | 53 | 54 | #################### 55 | # PORTS 56 | #################### 57 | # 58 | # http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.0/bk_HDP_Reference_Guide/content/reference_chap2.html 59 | # http://www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/cdh_ig_ports_cdh5.html 60 | # http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/core-default.xml 61 | # http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml 62 | 63 | # HDFS: NameNode (NN): 64 | # 9820 = fs.defaultFS (IPC / File system metadata operations) 65 | # (9000 is also frequently used alternatively) 66 | # 9871 = dfs.namenode.https-address (HTTPS / Secure UI) 67 | # 9870 = dfs.namenode.https-address (HTTPS / Secure UI) 68 | # HDFS: DataNode (DN): 69 | # 9866 = dfs.datanode.address (Data transfer) 70 | # 9867 = dfs.datanode.ipc.address (IPC / metadata operations) 71 | # 9864 = dfs.datanode.https.address (HTTPS / Secure UI) 72 | # HDFS: Secondary NameNode (SNN) 73 | # 9868 = dfs.secondary.http.address (HTTP / Checkpoint for NameNode metadata) 74 | EXPOSE 9000 9870 9866 9867 9864 9868 8088 75 | 76 | 77 | 78 | CMD ["hdfs"] 79 | -------------------------------------------------------------------------------- /3.3.6/conf/core-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | fs.default.name 22 | hdfs://hdfs-namenode:9000 23 | 24 | 25 | -------------------------------------------------------------------------------- /3.3.6/conf/hdfs-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | dfs.replication 22 | 2 23 | 24 | 25 | dfs.datanode.data.dir 26 | file:///data/dfs/data 27 | 28 | 29 | dfs.namenode.name.dir 30 | file:///data/dfs/name 31 | 32 | 33 | dfs.namenode.checkpoint.dir 34 | file:///data/dfs/namesecondary 35 | 36 | 37 | dfs.namenode.datanode.registration.ip-hostname-check 38 | false 39 | 40 | 41 | 42 | dfs.permissions 43 | false 44 | 45 | 46 | 47 | -------------------------------------------------------------------------------- /3.3.6/conf/mapred-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 16 | 17 | 18 | 19 | 20 | 21 | mapreduce.framework.name 22 | yarn 23 | 24 | 25 | 26 | yarn.app.mapreduce.am.env 27 | HADOOP_MAPRED_HOME=${HADOOP_HOME} 28 | 29 | 30 | mapreduce.map.env 31 | HADOOP_MAPRED_HOME=${HADOOP_HOME} 32 | 33 | 34 | mapreduce.reduce.env 35 | HADOOP_MAPRED_HOME=${HADOOP_HOME} 36 | 37 | 38 | 39 | -------------------------------------------------------------------------------- /3.3.6/conf/yarn-site.xml: -------------------------------------------------------------------------------- 1 | 2 | 15 | 16 | 17 | yarn.nodemanager.aux-services 18 | mapreduce_shuffle 19 | 20 | 21 | yarn.nodemanager.aux-services.mapreduce.shuffle.class 22 | org.apache.hadoop.mapred.ShuffleHandler 23 | 24 | 25 | yarn.resourcemanager.hostname 26 | hdfs-namenode 27 | 28 | 29 | 30 | -------------------------------------------------------------------------------- /3.3.6/docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "3.7" 2 | services: 3 | namenode: 4 | image: cjj2010/hadoop:3.3.6 5 | ports: 6 | - "9870:9870" 7 | - "8088:8088" 8 | command: > 9 | bash -c "hdfs namenode & yarn resourcemanager " 10 | hostname: hdfs-namenode 11 | 12 | datanode: 13 | image: cjj2010/hadoop:3.3.6 14 | hostname: datanode 15 | depends_on: 16 | - namenode 17 | command: > 18 | bash -c "hdfs datanode & yarn nodemanager " 19 | ports: 20 | # The host port is randomly assigned by Docker, to allow scaling to multiple DataNodes on the same host 21 | - "9864" 22 | links: 23 | - namenode:hdfs-namenode 24 | 25 | 26 | secondarynamenode: 27 | image: cjj2010/hadoop:3.3.6 28 | command: hdfs secondarynamenode 29 | ports: 30 | - "9868:9868" 31 | links: 32 | - namenode:hdfs-namenode 33 | -------------------------------------------------------------------------------- /3.3.6/start-yarn.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | yarn resourcemanager& 4 | yarn nodemanager 5 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright {yyyy} {name of copyright owner} 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | 203 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Docker image for Hadoop 2 | ![hadoop logo](https://hadoop.apache.org/images/hadoop-logo.jpg) 3 | 4 | [ ![issues](https://img.shields.io/github/issues/gelog/docker-ubuntu-hadoop.svg) ](https://github.com/gelog/docker-ubuntu-hadoop) 5 | 6 | ## Supported tags and respective `Dockerfile` links 7 | - [`2.6.0`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.6.0/Dockerfile) 8 | - [`2.5.2`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.5.2/Dockerfile) 9 | - [`2.5.1`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.5.1/Dockerfile) 10 | - [`2.5.0`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.5.0/Dockerfile) 11 | - [`2.4.1`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.4.1/Dockerfile) 12 | - [`2.4.0`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.4.0/Dockerfile) 13 | - [`2.3.0`/Dockerfile](https://github.com/GELOG/docker-ubuntu-hadoop/tree/2.3.0/Dockerfile) 14 | 15 | 16 | ## What is Hadoop? 17 | The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. 18 | 19 | The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. 20 | 21 | [http://hadoop.apache.org/](http://hadoop.apache.org/) 22 | 23 | 24 | ## What is Docker? 25 | Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. Consisting of Docker Engine, a portable, lightweight runtime and packaging tool, and Docker Hub, a cloud service for sharing applications and automating workflows, Docker enables apps to be quickly assembled from components and eliminates the friction between development, QA, and production environments. As a result, IT can ship faster and run the same app, unchanged, on laptops, data center VMs, and any cloud. 26 | 27 | [https://www.docker.com/whatisdocker/](https://www.docker.com/whatisdocker/) 28 | 29 | ### What is a Docker Image? 30 | Docker images are the basis of containers. Images are read-only, while containers are writeable. Only the containers can be executed by the operating system. 31 | 32 | [https://docs.docker.com/terms/image/](https://docs.docker.com/terms/image/) 33 | 34 | 35 | ## How to use this image? 36 | 37 | 38 | ### Starting the NameNode 39 | This command starts a container for the HDFS NameNode in the background, and starts tailing its logs. 40 | 41 | docker run -d --name hdfs-namenode \ 42 | -h hdfs-namenode -p 50070:50070 \ 43 | gelog/hadoop hdfs namenode && \ 44 | docker logs -f hdfs-namenode 45 | 46 | If everything looks good in the logs (no errors), hit `CTRL + C` to detach the console from the logs. 47 | 48 | 49 | ### Starting a DataNode 50 | This command starts a separate container for the HDFS DataNode in the background, link it with the NameNode container, and starts tailing its logs. 51 | 52 | docker run -d --name hdfs-datanode1 \ 53 | -h hdfs-datanode1 -p 50075:50075 \ 54 | --link=hdfs-namenode:hdfs-namenode \ 55 | gelog/hadoop hdfs datanode && \ 56 | docker logs -f hdfs-datanode1 57 | 58 | If everything looks good in the logs (no errors), hit `CTRL + C` to detach the console from the logs. 59 | 60 | 61 | ### Starting a Secondary NameNode 62 | This command starts a separate container for the HDFS Secondary NameNode in the background, link it with the NameNode container, and starts tailing its logs. 63 | 64 | docker run -d --name hdfs-secondarynamenode \ 65 | -h hdfs-secondarynamenode -p 50090:50090 \ 66 | --link=hdfs-namenode:hdfs-namenode \ 67 | gelog/hadoop hdfs secondarynamenode && \ 68 | docker logs -f hdfs-secondarynamenode 69 | 70 | If everything looks good in the logs (no errors), hit `CTRL + C` to detach the console from the logs. 71 | 72 | 73 | ### Starting YARN 74 | This command starts a container for the YARN system in background. It links with the NameNode, the Datanode. 75 | The start-yarn.sh script starts a YARN Node manager and a YARN Resource Manager. 76 | 77 | ``` 78 | docker run -d --name yarn \ 79 | -h yarn \ 80 | -p 8088:8088 \ 81 | -p 8042:8042 \ 82 | --link=hdfs-namenode:hdfs-namenode \ 83 | --link=hdfs-datanode1:hdfs-datanode1 \ 84 | -v $HOME/data/hadoop/hdfs:/data \ 85 | gelog/hadoop start-yarn.sh && \ 86 | docker logs -f yarn 87 | ``` 88 | 89 | 90 | 91 | ### Submit a Map Reduce job 92 | 93 | #### Put some data in HDFS 94 | ``` 95 | docker run --rm \ 96 | --link=hdfs-namenode:hdfs-namenode \ 97 | --link=hdfs-datanode1:hdfs-datanode1 \ 98 | gelog/hadoop \ 99 | hadoop fs -put /usr/local/hadoop/README.txt /README.txt 100 | ``` 101 | #### Start wordcount example 102 | 103 | This runs the word count example. 104 | ``` 105 | docker run --rm \ 106 | --link yarn:yarn \ 107 | --link=hdfs-namenode:hdfs-namenode \ 108 | gelog/hadoop \ 109 | hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /README.txt /README.result 110 | 111 | ``` 112 | 113 | If README.result already exists you need to remove it prior running the map reduce job. 114 | 115 | ``` 116 | docker run --rm --link=hdfs-namenode:hdfs-namenode \ 117 | --link=hdfs-datanode1:hdfs-datanode1 \ 118 | gelog/hadoop \ 119 | hadoop fs -rm -R -f /README.result 120 | ``` 121 | 122 | 123 | #### Check the result 124 | ``` 125 | docker run --rm --link=hdfs-namenode:hdfs-namenode \ 126 | --link=hdfs-datanode1:hdfs-datanode1 \ 127 | gelog/hadoop \ 128 | hadoop fs -cat /README.result/\* 129 | ``` 130 | 131 | ### Accessing the web interfaces 132 | Each component provide its own web UI. Open you browser at one of the URLs below, where `dockerhost` is the name / IP of the host running the docker daemon. If using Linux, this is the IP of your linux box. If using OSX or Windows (via Boot2docker), you can find out your docker host by typing `boot2docker ip`. On my machine, the NameNode UI is accessible at `http://192.168.59.103:50070/` 133 | 134 | | Component | Port | 135 | | ----------------------- | -------------------------------------------------- | 136 | | HDFS NameNode | [http://dockerhost:50070](http://dockerhost:50070) | 137 | | HDFS DataNode | [http://dockerhost:50075](http://dockerhost:50075) | 138 | | HDFS Secondary NameNode | [http://dockerhost:50090](http://dockerhost:50090) | 139 | | YARN Resource Manager | [http://dockerhost:8088](http://dockerhost:8088) | 140 | | YARN Node Manager | [http://dockerhost:8042](http://dockerhost:8042) | 141 | 142 | 143 | ## Use this image using docker-compose 144 | Note: your terminal need to be in the folder where the docker-compose.yml is located. 145 | 146 | You can start this image using docker-compose. It will start a namenode, a secondary nanenode and a datanode. You have the possibility to scale the datanode. 147 | 148 | ### Starting the image with basic setting 149 | docker-compose up -d && \ 150 | docker-compose logs 151 | 152 | If everything looks good in the logs (no errors), hit `CTRL + C` to detach the console from the logs. 153 | 154 | ### Scaling the datanode 155 | If you want to increase the number of datanode in your cluster 156 | 157 | docker-compose scale datanode= 158 | 159 | ### Finding the port for web access 160 | To allow the datanode to scale, we need to let docker decide the port used on the host machine. To find which port it is 161 | 162 | docker-compose port datanode 50075 163 | 164 | With this port, you can access the web interfaces of the datanode. 165 | 166 | 167 | --------------------------------------------------------------------------------