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Error while encoding: java.lang.RuntimeException: org.apache.spark.sql.catalyst.util.GenericArrayDa

liormayn
New Contributor III

Hello:)

we are trying to run an existing working flow that works currently on EMR, on databricks.

we use LTS 10.4, and when loading the data we get the following error:

at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:365)
Caused by: java.lang.RuntimeException: org.apache.spark.sql.catalyst.util.GenericArrayData is not a valid external type for schema of array<struct<id:string,name:string,name_type:string>>
at com.databricks.sql.expressions.codegen.RuntimeUtils.assertTrue(RuntimeUtils.java:77)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$Serializer.apply(ExpressionEncoder.scala:233)
... 19 more

 

it's important to note that the same code works on emr with spark version 3.2.1. we tried looking at the data, removing some of the columns - but the data is consistent with the structure.

did anyone encounter this and could provide assistance in identifying the cause? we'd be happy to share more of the stack if relevant.

Thanks in advance!

1 REPLY 1

Kaniz
Community Manager
Community Manager

Hi @liormayn, It seems you’re encountering an issue related to the schema of your data when running your existing workflow on Databricks.

Let’s explore some potential solutions:

  1. Parquet Decimal Columns Issue:

  2. Column Order in Joins:

  3. Cluster Mode and Library Methods:

Feel free to share more details about your stack or any additional error messages, and I’ll be happy to assist further! 😊

To ensure we provide you with the best support, could you please take a moment to review the response and choose the one that best answers your question? Your feedback not only helps us assist you better but also benefits other community members who may have similar questions in the future.

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