Ramón García Fernández created SPARK-44165:
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Summary: Exception when reading parquet file with TIME fields
Key: SPARK-44165
URL: https://issues.apache.org/jira/browse/SPARK-44165
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.4.1, 3.4.0
Environment: Spark 3.4.0 downloaded from apache.spark.org
Also reproduced with latest build.
Reporter: Ramón García Fernández
Attachments: timeonly.parquet
When one reads a parquet file containing TIME fields (either with INT32 or
INT64 storage) and exception is thrown. From spark shell
{{> val df = spark.read.parquet("timeonly.parquet")}}
{color:#de350b}23/06/24 13:24:54 ERROR Executor: Exception in task 0.0 in stage
0.0 (TID 0)/ 1]{color}
{color:#de350b}org.apache.spark.sql.AnalysisException: Illegal Parquet type:
INT32 (TIME(MILLIS,true)).{color}
{color:#de350b} at
org.apache.spark.sql.errors.QueryCompilationErrors$.illegalParquetTypeError(QueryCompilationErrors.scala:1762){color}
{color:#de350b} at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.illegalType$1(ParquetSchemaConverter.scala:206){color}
{color:#de350b} at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.$anonfun$convertPrimitiveField$2(ParquetSchemaConverter.scala:252){color}
{color:#de350b} at scala.Option.getOrElse(Option.scala:189){color}
{color:#de350b} at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convertPrimitiveField(ParquetSchemaConverter.scala:224){color}
{color:#de350b} at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convertField(ParquetSchemaConverter.scala:187){color}
{color:#de350b} at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.$anonfun$convertInternal$3(ParquetSchemaConverter.scala:147){color}
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