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Naveen-004's avatar
Naveen-004
Frequent Visitor
2 years ago
Solved

Notebook fails to write data to a Delta table

Code: df.write.format("delta").mode("overwrite").option("mergeSchema", "true").save(delta_table_path) Error: Py4JJavaError: An error occurred while calling o29386.save. : org.apache.spark.SparkE...
data engineering
lakehouse
notebook
  • richbenmintz's avatar
    richbenmintz
    2 years ago

    Hi Naveen-004,

    Are you able to share all the Code in your Notebook, Spark is a lazily evaluated there could be issues in earlier commands that are only getting executed when you try to write the dataframe.

DeltaExecutor's avatar
DeltaExecutor
New Member
1 year ago

 

It looks like your Spark job is failing due to an issue with the Delta Executor, specifically an ExecutorLostFailure error. This usually happens due to insufficient resources, node failures, or permission issues.

Here are a few things you can check to resolve the issue:

  1. Check Executor Logs – The error message suggests that the Delta Executor exited unexpectedly. Reviewing the logs can provide more details about the cause.

  2. Resource Allocation – The issue might be due to insufficient memory or CPU resources. Increasing the available resources for the executors could help.

  3. Schema Mismatch – Since you're using schema merging, make sure there are no conflicts between the existing Delta table schema and the new data being written.

  4. Cluster Stability – The error indicates a problem with a specific node. Restarting the cluster or checking for any failing nodes may resolve the issue.

  5. Software Compatibility – Ensure you are using the latest compatible versions of Delta Lake and Apache Spark, as outdated versions can sometimes cause unexpected failures.

If the problem persists, try writing a small test dataset to see if the issue is with the data or the system itself. Let me know if you need more help!