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https://issues.apache.org/jira/browse/SPARK-3037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14105243#comment-14105243
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Takuya Ueshin commented on SPARK-3037:
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I agree with it. It was completely the same as what I wanted.
> Add ArrayType containing null value support to Parquet.
> -------------------------------------------------------
>
> Key: SPARK-3037
> URL: https://issues.apache.org/jira/browse/SPARK-3037
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Takuya Ueshin
> Priority: Blocker
>
> Parquet support should handle {{ArrayType}} when {{containsNull}} is {{true}}.
> When {{containsNull}} is {{true}}, the schema should be as follows:
> {noformat}
> message root {
> optional group a (LIST) {
> repeated group bag {
> optional int32 array_element;
> }
> }
> }
> {noformat}
> FYI:
> Hive's Parquet writer *always* uses this schema, and reader can read only
> from this schema, i.e. current Parquet support of SparkSQL is not compatible
> with Hive.
> NOTICE:
> If Hive compatiblity is top priority, we also have to use this schma
> regardless of {{containsNull}}, which will break backward compatibility.
> But using this schema could affect performance.
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