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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

How to Setup Hadoop Cluster Top Ideas

Hadoop cluster setup in Centos Operating System explained in this post. So you can install CentOs either in your Laptop or in Virtual Machine.
Hadoop cluster setup proces
Hadoop Cluster Setup Process

9 Steps Process to Setup Hadoop Cluster

Step 1:  Installing Sun Java on Linux. Commands to execute for the same:
sudo apt-add-repository ppa:flexiondotorg/java
sudo apt-get update
sudo apt-get install sun-java6-jre sun-java6-plugin
sudo update-java-alternatives -s java-6-sun

Step 2:  Create Hadoop User. Commands to execute for the same:
$sudo addgroup hadoop
$sudo adduser —ingroup hadoop hduser

Step 3:  Install SSH Server if not already present. Commands are:
$ sudo apt-get install openssh-server
$ su - hduser
$ ssh-keygen -t rsa -P ""
$ cat $HOME/.ssh/id_rsa.pub >> $HOME/.ssh/authorized_keys

Step 4:  Installing Hadoop. Commands for the same are:
$wget http://www.eng.lsu.edu/mirrors/apache/hadoop/core/hadoop-0.22.0/hadoop-0.22.0.tar.gz
$ cd /home/hduser
$ tar xzf hadoop-0.22.2.tar.gz
$ mv hadoop-0.22.2 hadoop

Step 5:  Edit .bashrc. Commands:
# Set Hadoop-related environment variables
export HADOOP_HOME=/home/hduser/hadoop
# Set JAVA_HOME (we will also configure JAVA_HOME directly for Hadoop later on)
export JAVA_HOME=/usr/lib/jvm/java-6-sun

Step 6:  Update hadoop-env.sh
Here we need to only update the JAVA_HOME variable, we just need to open the file from text editor.
$vi /home/hduser/hadoop/conf/hadoop-env.sh
And update the following:
export JAVA_HOME=/usr/lib/jvm/java-6-sun

Step 7:  Update the files residing in the conf folder.  The three main files are:
Here we need to change the value of namenode and jobtracker to where we want to run.

Step 8:  Start the hadoop cluster, using command.

Step 9:  Check if all the processes are up and running, using command:
That’s it. The cluster should be up and running with the following 5 processes:
  • NameNode
  • SecondaryNameNode
  • DataNode
  • JobTracker
  • TaskTracker
If we see all these processes, it means our installation is successful and the cluster is up and running.


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