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https://issues.apache.org/jira/browse/SPARK-40403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40403:
------------------------------------
Assignee: Apache Spark
> Negative size in error message when unsafe array is too big
> -----------------------------------------------------------
>
> Key: SPARK-40403
> URL: https://issues.apache.org/jira/browse/SPARK-40403
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Bruce Robbins
> Assignee: Apache Spark
> Priority: Minor
>
> When initializing an overly large unsafe array via
> {{UnsafeArrayWriter#initialize}}, {{BufferHolder#grow}} may report an error
> message with a negative size, e.g.:
> {noformat}
> java.lang.IllegalArgumentException: Cannot grow BufferHolder by size
> -2115263656 because the size is negative
> {noformat}
> (Note: This is not related to SPARK-39608, as far as I can tell, despite
> having the same symptom).
> When calculating the initial size in bytes needed for the array,
> {{UnsafeArrayWriter#initialize}} uses an int expression, which can overflow.
> The initialize method then passes the negative size to {{BufferHolder#grow}},
> which complains about the negative size.
> Example (the following will run just fine on a 16GB laptop, despite the large
> driver size setting):
> {noformat}
> bin/spark-sql --driver-memory 22g --master "local[1]"
> create or replace temp view data1 as
> select 0 as key, id as val
> from range(0, 268271216);
> create or replace temp view data2 as
> select key as lkey, collect_list(val) as bigarray
> from data1
> group by key;
> -- the below cache forces Spark to create unsafe rows
> cache lazy table data2;
> select count(*) from data2;
> {noformat}
> After a few minutes, {{BufferHolder#grow}} will throw the following exception:
> {noformat}
> java.lang.IllegalArgumentException: Cannot grow BufferHolder by size
> -2115263656 because the size is negative
> at
> org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder.grow(BufferHolder.java:67)
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeArrayWriter.initialize(UnsafeArrayWriter.java:61)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.Collect.serialize(collect.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.Collect.serialize(collect.scala:37)
> {noformat}
> This query was going to fail anyway, but the message makes it looks like a
> bug in Spark rather than a user problem. {{UnsafeArrayWriter#initialize}}
> should calculate using a long expression and fail if the size exceeds
> {{Integer.MAX_VALUE}}, showing the actual initial size in the error message.
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