Filipe Gonzaga Miranda created SPARK-26509:
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Summary: Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's
Vectorized Reader
Key: SPARK-26509
URL: https://issues.apache.org/jira/browse/SPARK-26509
Project: Spark
Issue Type: Bug
Components: Spark Core, SQL
Affects Versions: 2.4.0
Reporter: Filipe Gonzaga Miranda
I get the exception below Spark 2.4 reading parquet files where some columns
are DELTA_BYTE_ARRAY encoded.
{code:java}
java.lang.UnsupportedOperationException: Unsupported encoding: DELTA_BYTE_ARRAY
{code}
If the property:
spark.sql.parquet.enableVectorizedReader is set to false that works
The parquet files were written with Parquet V2, and as far as I understand the
V2 is the version used in Spark 2.x.
I did not find any property to change which Parquet Version Spark uses (V1,
V2).
Is there anyway to benefit from the Vectorized Reader? Or this is something
like a new implementation to support this version? I would propose so.
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