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https://issues.apache.org/jira/browse/SPARK-22241?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16199724#comment-16199724
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Ritika Maheshwari commented on SPARK-22241:
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I know parquet does not allow empty struct types. But is this something that
the Encoder should handle when generating the schema
> Apache spark giving InvalidSchemaException: Cannot write a schema with an
> empty group: optional group element {
> ---------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-22241
> URL: https://issues.apache.org/jira/browse/SPARK-22241
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Ritika Maheshwari
> Priority: Minor
>
> I have a bean which has field of type Arraylist of Doubles. Then I do the
> following
> Encoder<T> beanEncoder = Encoders.bean(jClass);
> Dataset<T> df = spark.createDataset(
> Collections.singletonList((T)extractedObj),beanEncoder);
> The schema generated says:
> |-- pixelSpacing: array (nullable = true)
> |-- element: struct (containsNull = true)
> Now I try to save this Dataset as parquet
> df.write().mode(SaveMode.Append).parquet(jClass.getName()+"_parquet");
> and I get the error Caused by: org.apache.parquet.schema.
> InvalidSchemaException: Cannot write a schema with an empty group: optional
> group element {}
> Kindly direct how to specify an ArrayList of Strings or Doubles in the Bean
> passed to the encoders so that the schema generated can be saved in paraquet
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