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https://issues.apache.org/jira/browse/SPARK-44165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17737274#comment-17737274
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Ramón García Fernández commented on SPARK-44165:
------------------------------------------------
Added [pull request 41717|https://github.com/apache/spark/pull/41717] to
support TIME columns.
> 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: 3.4.0, 3.4.1
> Environment: Spark 3.4.0 downloaded from apache.spark.org
> Also reproduced with latest build.
> Reporter: Ramón García Fernández
> Priority: Major
> 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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