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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

Nis
by New Contributor II
  • 1512 Views
  • 1 replies
  • 2 kudos

Best sequence of using Vacuum, optimize, fsck repair and refresh commands.

I have a delta table whose size will increases gradually now we have around 1.5 crores of rows while running vacuum command on that table i am getting the below error.ERROR: Job aborted due to stage failure: Task 7 in stage 491.0 failed 4 times, most...

  • 1512 Views
  • 1 replies
  • 2 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 2 kudos

Do you have access to the Executor 7 logs? is there a high GC or some other events that is making the heartbeat timeout? would you be able to check the failed stages?

  • 2 kudos
BenzDriver
by New Contributor II
  • 2123 Views
  • 2 replies
  • 1 kudos

Resolved! SQL command FSCK is not found

Hello there,I currently have the problem of deleted files still being in the transaction log when trying to call a delta table. What I found was this statement:%sql FSCK REPAIR TABLE table_name [DRY RUN]But using it returned following error:Error in ...

  • 2123 Views
  • 2 replies
  • 1 kudos
Latest Reply
RKNutalapati
Valued Contributor
  • 1 kudos

Remove square brackets and try executing the command%sqlFSCK REPAIR TABLE table_name DRY RUN

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brickster_2018
by Databricks Employee
  • 1383 Views
  • 1 replies
  • 0 kudos

Resolved! When should I run the FSCK REPAIR command on my Delta table

Is it a good practice to run the FSCK REPAIR command on a regular basis? I have Optimize and VACUUM commands scheduled to run every day. 

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  • 1 replies
  • 0 kudos
Latest Reply
brickster_2018
Databricks Employee
  • 0 kudos

Unlike OPTIMIZE and VACUUM, FSCK REPAIR is not an operational command that has to be executed on a regular basis. FSCK REPAIR is useful to repair the Delta metadata and remove the reference of the files from the metadata that are no longer accessible...

  • 0 kudos
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