Showing results for 
Search instead for 
Did you mean: 
Community Discussions
Connect with fellow community members to discuss general topics related to the Databricks platform, industry trends, and best practices. Share experiences, ask questions, and foster collaboration within the community.
Showing results for 
Search instead for 
Did you mean: 

Unable to build LZO-codec

New Contributor III

Hi Community i am try to create lzo-codec in my dbfs using:

but i am facing the error
Cloning into 'hadoop-lzo'... The JAVA_HOME environment variable is not defined correctly This environment variable is needed to run this program NB: JAVA_HOME should point to a JDK not a JRE cp: cannot stat '/home/ubuntu/hadoop-lzo/target/hadoop-lzo-*.jar': No such file or directory


Community Manager
Community Manager

Hi @yatharthIt appears that you’re encountering an issue related to the LZO codec while working with Databricks and Hadoop.

Let’s address this step by step:

  1. JAVA_HOME Environment Variable:

    • The error message indicates that the JAVA_HOME environment variable is not correctly defined. This variable is essential for running Java-based programs.
    • Ensure that you have set the JAVA_HOME environment variable to point to a JDK (Java Development Kit) installation, not a JRE (Java Runtime Environment).
    • You can set it in your shell profile (e.g., .bashrc, .bash_profile, or .zshrc) by adding a line like this:
      export JAVA_HOME=/path/to/your/jdk
    • Replace /path/to/your/jdk with the actual path to your JDK installation directory.
  2. LZO Codec Configuration:

    • The LZO codec is used for compression in Hadoop. To resolve this issue, you need to ensure that the LZO codec is properly configured.
    • Follow these steps:
  3. Check Permissions and Paths:

    • Verify that the user running the Databricks job has the necessary permissions to access the LZO files.
    • Ensure that the LZO files have the execute (x) permission set.
    • Double-check the paths and file locations to make sure everything is correctly specified.
  4. Hive-Site Configuration (if applicable):

Remember to adjust the steps based on your specific environment and requirements.

If you encounter any further issues, feel free to ask for additional assistance! 😊

Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!