first commit

# hadoop-docker

docker compose up -d

## Getting started

docker exec -it --user hadoop namenode bash

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

hdfs dfs -mkdir /user

hdfs dfs -mkdir /user/hadoop

hdfs dfs -mkdir input

hdfs dfs -put *.txt input

Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!

STRJAR=$HADOOP_HOME/share/hadoop/tools/lib/hadoop-streaming-3.4.1.jar

## Add your files

hadoop jar $STRJAR -mapper mapper.py -reducer reducer.py -input '/user/hadoop/input/*.txt' -output '/user/hadoop/output'

- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files

- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:

```

cd existing_repo

git remote add origin https://labinfo.ing.he-arc.ch/gitlab/marcelo.pasin/hadoop-docker.git

git branch -M main

git push -uf origin main

```

## Integrate with your tools

- [ ] [Set up project integrations](https://labinfo.ing.he-arc.ch/gitlab/marcelo.pasin/hadoop-docker/-/settings/integrations)

## Collaborate with your team

- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)

- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)

- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)

- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)

- [ ] [Set auto-merge](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)

## Test and Deploy

Use the built-in continuous integration in GitLab.

- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)

- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)

- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)

- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)

- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)

***

# Editing this README

When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to [makeareadme.com](https://www.makeareadme.com/) for this template.

## Suggestions for a good README

Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.

## Name

Choose a self-explaining name for your project.

## Description

Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.

## Badges

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## Visuals

Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.

## Installation

Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.

## Usage

Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.

## Support

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## Roadmap

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## Contributing

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You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.

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## License

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hdfs dfs -cat output/*

version: '3'

services:

  namenode:

    image: apache/hadoop:3.4.1

    container_name: namenode

    hostname: namenode

    user: root

    environment:

      - HADOOP_HOME=/opt/hadoop

    volumes:

      - ./hadoop_namenode:/opt/hadoop/data/nameNode

      - ./hadoop_config:/opt/hadoop/etc/hadoop

      - ./hadoop_user:/home/hadoop

      - ./start-hdfs.sh:/start-hdfs.sh

    ports:

      - "9870:9870"

    command: [ "/bin/bash", "/start-hdfs.sh" ]

    networks:

      hdfs_network:

        ipv4_address: 172.20.0.2

  datanode1:

    image: apache/hadoop:3.4.1

    container_name: datanode1

    hostname: datanode1

    user: root

    environment:

      - HADOOP_HOME=/opt/hadoop

    volumes:

      - ./hadoop_datanode1:/opt/hadoop/data/dataNode

      - ./hadoop_config:/opt/hadoop/etc/hadoop

      - ./init-datanode.sh:/init-datanode.sh

    depends_on:

      - namenode

    command: [ "/bin/bash", "/init-datanode.sh" ]

    networks:

      hdfs_network:

        ipv4_address: 172.20.0.3

  datanode2:

    image: apache/hadoop:3.4.1

    container_name: datanode2

    hostname: datanode2

    user: root

    environment:

      - HADOOP_HOME=/opt/hadoop

    volumes:

      - ./hadoop_datanode2:/opt/hadoop/data/dataNode

      - ./hadoop_config:/opt/hadoop/etc/hadoop

      - ./init-datanode.sh:/init-datanode.sh

    depends_on:

      - namenode

    command: [ "/bin/bash", "/init-datanode.sh" ]

    networks:

      hdfs_network:

        ipv4_address: 172.20.0.4

networks:

  hdfs_network:

    ipam:

      driver: default

      config:

        - subnet: 172.20.0.0/16

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

  <property>

    <name>fs.default.name</name>

    <value>hdfs://namenode:8020</value>

  </property>

</configuration>

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

  <property>

    <name>dfs.replication</name>

    <value>1</value>

  </property>

  <property>

     <name>dfs.permissions</name>

     <value>false</value>

  </property>

</configuration>

# Root Logger

log4j.rootLogger=INFO, stdout

# Direct log messages to stdout

log4j.appender.stdout=org.apache.log4j.ConsoleAppender

log4j.appender.stdout.Target=System.out

log4j.appender.stdout.layout=org.apache.log4j.PatternLayout

log4j.appender.stdout.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n