[
https://issues.apache.org/jira/browse/SPARK-45604?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zamil Majdy updated SPARK-45604:
--------------------------------
Description:
Repro:
```
val path = "/tmp/sample_parquet_file"
spark.sql("SELECT CAST('2019-01-01' AS TIMESTAMP_NTZ) AS
field").write.parquet(path)
spark.read.schema("field ARRAY<TIMESTAMP_NTZ>").parquet(path).collect()
```
Depending on the memory mode, it will throw an NPE on OnHeap mode and SEGFAULT
on OffHeap mode.
was:
Repro:
val path = "/tmp/sample_parquet_file"
spark.sql("SELECT CAST('2019-01-01' AS TIMESTAMP_NTZ) AS
field").write.parquet(path)
spark.read.schema("field ARRAY<TIMESTAMP_NTZ>").parquet(path).collect()
Depending on the memory mode, it will throw an NPE on OnHeap mode and SEGFAULT
on OffHeap mode.
> Converting timestamp_ntz to array<timestamp_ntz> can cause NPE or SEGFAULT on
> parquet vectorized reader
> -------------------------------------------------------------------------------------------------------
>
> Key: SPARK-45604
> URL: https://issues.apache.org/jira/browse/SPARK-45604
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.5.0
> Reporter: Zamil Majdy
> Priority: Major
> Labels: pull-request-available
>
> Repro:
> ```
> val path = "/tmp/sample_parquet_file"
> spark.sql("SELECT CAST('2019-01-01' AS TIMESTAMP_NTZ) AS
> field").write.parquet(path)
> spark.read.schema("field ARRAY<TIMESTAMP_NTZ>").parquet(path).collect()
> ```
> Depending on the memory mode, it will throw an NPE on OnHeap mode and
> SEGFAULT on OffHeap mode.
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