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https://issues.apache.org/jira/browse/PARQUET-132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14212696#comment-14212696
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Ryan Blue commented on PARQUET-132:
-----------------------------------
Thanks for taking a look, Tom. I've updated the PR to add
{{AvroParquetInputFormat<T>}} as you suggested. We don't actually get a
reference to the type at runtime to inspect and throw an exception, so we will
have to do that elsewhere. That update can wait until we add support for
reflect.
> AvroParquetInputFormat should use a parameterized type
> ------------------------------------------------------
>
> Key: PARQUET-132
> URL: https://issues.apache.org/jira/browse/PARQUET-132
> Project: Parquet
> Issue Type: Bug
> Reporter: Ryan Blue
>
> The {{AvroParquetInputFormat}} currently extends
> {{ParquetInputFormat<IndexedRecord>}}, which works for regular MR cases. But
> Spark's {{hadoopRDD}} and
> [{{newAPIHadoopRDD}}|https://people.apache.org/~pwendell/spark-1.1.0-rc3-docs/api/java/org/apache/spark/SparkContext.html#newAPIHadoopRDD(org.apache.hadoop.conf.Configuration,
> java.lang.Class, java.lang.Class, java.lang.Class)] methods (correctly)
> create a RDD with the types from the InputFormat. This means that the RDD
> always uses {{IndexedRecord}} rather than the correct type.
> The {{AvroParquetInputFormat}} should be {{AvroParquetInputFormat<T extends
> IndexedRecord> extends ParquetInputFormat<T>}}
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