Our Community is getting an upgrade! To get everything ready for the relaunch, we’ll be placing the site in read-only mode starting September 21st.
We really appreciate your understanding while we get things set up behind the scenes. Catch up on all the exciting details about the move here.
Need help or have questions? Drop us a line at [email protected]

Archives of Support Questions (Read Only)

This is an archived board for historical reference. Information and links may no longer be available or relevant
Announcements
This board is archived and read-only for historical reference. To ask a new question, please post a new topic on the appropriate active board.

Zeppelin Spark df.show() output

avatar
New Member

The Zeppelin outputs alot of "+--+" instead of the actual data. Any ideas how to fix the output of this data ?

zep-output.png

1 ACCEPTED SOLUTION

avatar
Master Mentor

@Victor

Please try increasing the value of 'ZEPPELIN_INTERPRETER_OUTPUT_LIMIT' parameter (default value:102400) inside the in zeppelin-env.sh, then it takes the new value.

You can set the desired value through Ambari UI --> Configs --> "Advanced zeppelin-env" --> zeppelin_env_content

Inside this text area just add value like

export ZEPPELIN_INTERPRETER_OUTPUT_LIMIT=2500000

Then restart the Zeppelin Service.

To know more about this parameter please refer to https://zeppelin.apache.org/docs/0.7.2/install/configuration.html

View solution in original post

3 REPLIES 3

avatar
Master Mentor

@Victor

Please try increasing the value of 'ZEPPELIN_INTERPRETER_OUTPUT_LIMIT' parameter (default value:102400) inside the in zeppelin-env.sh, then it takes the new value.

You can set the desired value through Ambari UI --> Configs --> "Advanced zeppelin-env" --> zeppelin_env_content

Inside this text area just add value like

export ZEPPELIN_INTERPRETER_OUTPUT_LIMIT=2500000

Then restart the Zeppelin Service.

To know more about this parameter please refer to https://zeppelin.apache.org/docs/0.7.2/install/configuration.html

avatar
New Member

@Jay Kumar SenSharma great instructions ! Thank you, it worked.

avatar
Master Mentor

@Victor

If this resolved/answers your query/issue then please mark this HCC thread as answered by clicking on "Accept" link on the correct answer, That way it will help other HCC users to quickly find the answers.