{"id":1849,"date":"2019-04-02T05:00:38","date_gmt":"2019-04-01T22:00:38","guid":{"rendered":"https:\/\/www.linuxid.net\/post\/?p=1849"},"modified":"2025-04-18T15:22:14","modified_gmt":"2025-04-18T08:22:14","slug":"tutorial-install-dan-konfigurasi-apache-hadoop-di-ubuntu","status":"publish","type":"post","link":"https:\/\/www.linuxid.net\/post\/tutorial-install-dan-konfigurasi-apache-hadoop-di-ubuntu\/","title":{"rendered":"Tutorial Install dan Konfigurasi Apache Hadoop di Ubuntu"},"content":{"rendered":"

Apache Hadoop adalah kumpulan software\u00a0utilitas open-source yang memfasilitasi penggunaan jaringan di banyak komputer untuk memecahkan masalah yang melibatkan data dan komputasi dalam jumlah besar. Hadoop menyediakan framework untuk penyimpanan terdistribusi dan pemrosesan data besar menggunakan model pemrograman MapReduce.<\/p>\n

Awalnya dirancang untuk komputer cluster yang dibangun dari perangkat keras komoditas namun masih merupakan penggunaan umum, dan juga digunakan pada kelompok hardware high-end. Semua modul di Hadoop dirancang dengan asumsi mendasar bahwa kegagalan hardware adalah kejadian umum dan harus ditangani secara otomatis oleh framework itu sendiri.<\/p>\n

Apache Hadoop 3.1 memiliki peningkatan yang nyata setiap perbaikan bug lebih dari rilis stabil 3.0 sebelumnya. Versi ini memiliki banyak peningkatan di HDFS dan MapReduce. Tutorial ini akan membantu Anda untuk menginstal dan mengkonfigurasi Hadoop 3.1.2 Single-Node Cluster di Ubuntu 18.04, 16.04 LTS dan Sistem LinuxMint. Artikel ini telah diuji dengan Ubuntu 18.04 LTS.<\/p>\n

Langkah 1 \u2013 Prasyarat<\/h2>\n

Java adalah persyaratan utama untuk menjalankan Hadoop pada sistem apa pun, jadi pastikan Anda menginstal Java pada sistem Anda menggunakan perintah berikut<\/a>.<\/p>\n

Step 2 \u2013 Create User for Haddop<\/h2>\n

Kami sarankan untuk membuat akun normal untuk Hadoop berfungsi. Untuk membuat akun menggunakan perintah berikut.<\/p>\n

adduser hadoop
\n<\/pre>\n
Setelah membuat akun, perlu juga untuk mengatur ssh berbasis kunci ke akun sendiri. Untuk melakukan ini jalankan perintah berikut.<\/p>\n
su - hadoop
\n
\nssh-keygen -t rsa -P '' -f ~\/.ssh\/id_rsa
\n
\ncat ~\/.ssh\/id_rsa.pub >> ~\/.ssh\/authorized_keys
\n
\nchmod 0600 ~\/.ssh\/authorized_keys
\n<\/pre>\n
Sekarang, SSH ke localhost dengan user Hadoop<\/code>. Ini seharusnya tidak meminta kata sandi, tetapi ketika ini adalah koneksi untuk pertama kali, sistem akan meminta untuk menambahkan RSA ke daftar host yang dikenal.<\/p>\n
ssh localhost
\nexit
\n<\/pre>\n
Langkah 3 \u2013 Unduh Arsip Source Hadoop<\/h2>\n
Pada langkah ini, unduh file arsip source hadoop 3.1 menggunakan perintah di bawah ini. Anda juga dapat memilih download mirror<\/a> untuk mencari server terdekat dengan Anda untuk meningkatkan kecepatan download. Yah meskipun Hanya ada dua, yaitu eropa dan usa, jadi kita pilih us. download source Hadoop mengunakan perintah wget.<\/a><\/p>\n
cd ~
\nwget https:\/\/www-us.apache.org\/dist\/hadoop\/common\/hadoop-3.1.2\/hadoop-3.1.2.tar.gz
\n
\ntar xzf hadoop-3.1.2.tar.gz
\n
\nmv hadoop-3.1.2 hadoop
\n<\/pre>\n
Langkah 4 \u2013 Setup Hadoop Pseudo-Distributed Mode<\/h2>\n
4.1. Setup Variabel\u00a0Environment Hadoop<\/h3>\n
Atur variabel lingkungan yang digunakan oleh Hadoop. Edit file\u00a0~\/.bashrc<\/code><\/strong> dan tambahkan nilai berikut di akhir file.<\/p>\n
export HADOOP_HOME=\/home\/hadoop\/hadoop
\nexport HADOOP_INSTALL=$HADOOP_HOME
\nexport HADOOP_MAPRED_HOME=$HADOOP_HOME
\nexport HADOOP_COMMON_HOME=$HADOOP_HOME
\nexport HADOOP_HDFS_HOME=$HADOOP_HOME
\nexport YARN_HOME=$HADOOP_HOME
\nexport HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME\/lib\/native
\nexport PATH=$PATH:$HADOOP_HOME\/sbin:$HADOOP_HOME\/bin
\n<\/pre>\n
Kemudian, setelah selesai save dan tutup file. dan jalankan perintah berikut agar perubahan segera diterapkan.<\/p>\n
source ~\/.bashrc<\/strong>
\n<\/pre>\n
Sekarang edit $HADOOP_HOME\/etc\/hadoop\/hadoop-env.sh<\/code> file dan set variabel environment JAVA_HOME<\/code>. Ubah jalur JAVA sesuai pengaturan instalasi di sistem Anda. Jalur ini dapat bervariasi sesuai versi sistem operasi dan sumber instalasi Anda. Jadi pastikan Anda menggunakan jalur yang benar.<\/p>\n
nano $HADOOP_HOME\/etc\/hadoop\/hadoop-env.sh
\n<\/pre>\n
kemudian tambahkan entri berikut ini.<\/p>\n
export JAVA_HOME=\/usr\/lib\/jvm\/java-11-oracle
\n<\/pre>\n
4.2. Setup Hadoop Configuration Files<\/h3>\n
Hadoop memiliki banyak file konfigurasi, yang perlu dikonfigurasi sesuai persyaratan infrastruktur Hadoop Anda. Mari kita mulai dengan konfigurasi dengan pengaturan dasar node tunggal Hadoop. pertama, navigasikan ke lokasi di bawah ini<\/p>\n
cd $HADOOP_HOME\/etc\/hadoop
\n<\/pre>\n
Edit core-site.xml<\/h4>\n
<configuration>
\n<property>
\n  <name>fs.default.name<\/name>
\n    <value>hdfs:\/\/localhost:9000<\/value>
\n<\/property>
\n<\/configuration>
\n<\/pre>\n
Edit hdfs-site.xml<\/h4>\n
<configuration>
\n<property>
\n <name>dfs.replication<\/name>
\n <value>1<\/value>
\n<\/property>
\n
\n<property>
\n  <name>dfs.name.dir<\/name>
\n    <value>file:\/\/\/home\/hadoop\/hadoopdata\/hdfs\/namenode<\/value>
\n<\/property>
\n
\n<property>
\n  <name>dfs.data.dir<\/name>
\n    <value>file:\/\/\/home\/hadoop\/hadoopdata\/hdfs\/datanode<\/value>
\n<\/property>
\n<\/configuration>
\n<\/pre>\n
Edit mapred-site.xml<\/h4>\n
<configuration>
\n <property>
\n  <name>mapreduce.framework.name<\/name>
\n   <value>yarn<\/value>
\n <\/property>
\n<\/configuration>
\n<\/pre>\n
Edit yarn-site.xml<\/h4>\n
<configuration>
\n <property>
\n  <name>yarn.nodemanager.aux-services<\/name>
\n    <value>mapreduce_shuffle<\/value>
\n <\/property>
\n<\/configuration>
\n<\/pre>\n
4.3. Format Namenode<\/h3>\n
Sekarang format namenode menggunakan perintah berikut, pastikan direktori Storage adalah<\/p>\n
hdfs namenode -format
\n<\/pre>\n
Ini adalah Sample output :<\/em><\/p>\n
WARNING: \/home\/hadoop\/hadoop\/logs does not exist. Creating.
\n2018-05-02 17:52:09,678 INFO namenode.NameNode: STARTUP_MSG:
\n\/************************************************************
\nSTARTUP_MSG: Starting NameNode
\nSTARTUP_MSG:   host = vmnode\/127.0.1.1
\nSTARTUP_MSG:   args = [-format]
\nSTARTUP_MSG:   version = 3.1.2
\n...
\n...
\n...
\n2018-05-02 17:52:13,717 INFO common.Storage: Storage directory \/home\/hadoop\/hadoopdata\/hdfs\/namenode has been successfully formatted.
\n2018-05-02 17:52:13,806 INFO namenode.FSImageFormatProtobuf: Saving image file \/home\/hadoop\/hadoopdata\/hdfs\/namenode\/current\/fsimage.ckpt_0000000000000000000 using no compression
\n2018-05-02 17:52:14,161 INFO namenode.FSImageFormatProtobuf: Image file \/home\/hadoop\/hadoopdata\/hdfs\/namenode\/current\/fsimage.ckpt_0000000000000000000 of size 391 bytes saved in 0 seconds .
\n2018-05-02 17:52:14,224 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
\n2018-05-02 17:52:14,282 INFO namenode.NameNode: SHUTDOWN_MSG:
\n\/************************************************************
\nSHUTDOWN_MSG: Shutting down NameNode at vmnode\/127.0.1.1
\n************************************************************\/
\n<\/pre>\n
Langkah 5 \u2013 Jalankan Cluster\u00a0Hadoop<\/h2>\n
Mari mulai cluster Hadoop Anda menggunakan skrip yang disediakan oleh Hadoop. Cukup navigasikan ke direktori $HADOOP_HOME\/sbin<\/code>\u00a0dan laksanakan skrip satu per satu.<\/p>\n
cd $HADOOP_HOME\/sbin\/
\n<\/pre>\n
Kemudian eksekusi skrip\u00a0start-dfs.sh<\/strong>.<\/p>\n
.\/start-dfs.sh
\n<\/pre>\n
Kemudian eksekusi skrip start-yarn.sh<\/strong>.<\/p>\n
.\/start-yarn.sh
\n<\/pre>\n
Langkah 6 \u2013 Akses Layanan Hadoop di Browser<\/h2>\n
Hadoop NameNode dimulai pada port default 9870. Akses server Anda pada port 9870 di browser web favorit Anda.<\/p>\n
http:\/\/ip-atau-domain:9870\/
\n<\/pre>\n
\"hadoop<\/p>\n
Sekarang akses port 8042 untuk mendapatkan informasi tentang cluster dan semua aplikasi<\/p>\n
http:\/\/ip-atau-domain:8042\/
\n<\/pre>\n
Akses port 9864 untuk mendapatkan detail tentang node Hadoop Anda.<\/p>\n
\"hadoop-31<\/p>\n
Langkah 7 \u2013 Uji\u00a0Pengaturan Hadoop Node<\/h2>\n
7.1. Buat direktori HDFS diperlukan menggunakan perintah berikut.<\/p>\n
bin\/hdfs dfs -mkdir \/user
\nbin\/hdfs dfs -mkdir \/user\/hadoop<\/pre>\n
7.2. Salin semua file dari sistem file lokal \/var\/log\/httpd ke file sistem\u00a0terdistribusi hadoop menggunakan perintah di bawah ini<\/p>\n
bin\/hdfs dfs -put \/var\/log\/apache2 logs<\/pre>\n
7.3. Jelajahi sistem file terdistribusi Hadoop dengan membuka URL di bawah ini di browser. Anda akan melihat folder apache2 dalam daftar. Klik pada nama folder untuk membuka dan Anda akan menemukan semua file log di sana.<\/p>\n
\u00a0http:\/\/ip-atau-domain:9870\/explorer.html#\/user\/hadoop\/logs\/<\/pre>\n
\"hadoop<\/p>\n
7.4 \u2013 Sekarang salin direktori log untuk sistem file hadoop didistribusikan ke sistem file lokal.<\/p>\n
bin\/hdfs dfs -get logs \/tmp\/logs
\nls -l \/tmp\/logs\/<\/pre>\n
Anda juga dapat memeriksa tutorial ini untuk menjalankan wordcount mapreduce contoh pekerjaan menggunakan baris perintah.<\/p>\n
\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"
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