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https://issues.apache.org/jira/browse/SPARK-43264?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17725490#comment-17725490
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GridGain Integration commented on SPARK-43264:
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User 'majdyz' has created a pull request for this issue:
https://github.com/apache/spark/pull/40929
> Avoid allocation of unwritten ColumnVector in VectorizedReader
> --------------------------------------------------------------
>
> Key: SPARK-43264
> URL: https://issues.apache.org/jira/browse/SPARK-43264
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 3.4.1, 3.5.0
> Reporter: Zamil Majdy
> Priority: Major
>
> Spark Vectorized Reader allocates the array for every fields for each value
> count even the array is ended up empty. This causes a high memory consumption
> when reading a table with large struct+array or many columns with sparse
> value. One way to fix this is by lazily allocating the column vector and only
> allocates the array only when it is needed (array is written).
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