[jira] [Created] (SPARK-45604) Converting timestamp_ntz to array can cause NPE or SEGFAULT on parquet vectorized reader

["Zamil Majdy (Jira)" <ji...@apache.org>]

Zamil Majdy created SPARK-45604:
-----------------------------------

             Summary: 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


Repro:

 

{{{}```{}}}{{{}{}}}
spark.conf.set("spark.databricks.photon.enabled", "false")

{{}}
val path = "/tmp/somepath"
val df = sql("SELECT MAP('key', CAST('2019-01-01 00:00:00' AS TIMESTAMP_NTZ)) AS field")

{{}}
df.write.mode("overwrite").parquet(path)
spark.read.schema("field map<string, array<timestamp_ntz>>").parquet(path).collect()
{{{}{}}}{{{}```{}}}

Depending on the memory mode is used, it will produced NPE on on-heap mode, and segfault on off-heap



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