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https://issues.apache.org/jira/browse/SPARK-46056?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cosmin Dumitru updated SPARK-46056:
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Description:
The scenario is a bit more complicated than what the title says but it's not
that far fetched.
# Write a parquet file with one column
# Evolve the schema and add a new column with DecimalType wide enough that it
doesn't fit in a long and has a default value.
# Try to read the file with the new schema
# NPE
The issue lies in how the column vector stores DecimalTypes. It incorrectly
assumes that they fit in a long and try to write it to associated long array.
https://github.com/apache/spark/blob/master/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java#L724
was:
The scenario is a bit more complicated than what the title says but it's not
that far fetched.
# Write a parquet file with one column
# Evolve the schema and add a new column with DecimalType wide enough that it
doesn't fit in a long and has a default value.
# Try to read the file with the new schema
# NPE
The issue lies in how the column vector stores DecimalTypes. It incorrectly
assumes that they fit in a long and try to write it to associated long array.
> Vectorized parquet reader throws NPE when reading files with DecimalType
> default values
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-46056
> URL: https://issues.apache.org/jira/browse/SPARK-46056
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.4.0, 3.5.0
> Reporter: Cosmin Dumitru
> Priority: Major
>
> The scenario is a bit more complicated than what the title says but it's not
> that far fetched.
> # Write a parquet file with one column
> # Evolve the schema and add a new column with DecimalType wide enough that
> it doesn't fit in a long and has a default value.
> # Try to read the file with the new schema
> # NPE
> The issue lies in how the column vector stores DecimalTypes. It incorrectly
> assumes that they fit in a long and try to write it to associated long array.
> https://github.com/apache/spark/blob/master/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/WritableColumnVector.java#L724
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