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Posted to dev@parquet.apache.org by "Ryan Blue (JIRA)" <ji...@apache.org> on 2014/11/13 19:02:34 UTC

[jira] [Commented] (PARQUET-132) AvroParquetInputFormat should use a parameterized type

    [ https://issues.apache.org/jira/browse/PARQUET-132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14210088#comment-14210088 ] 

Ryan Blue commented on PARQUET-132:
-----------------------------------

I've added the change in [PR #84|https://github.com/apache/incubator-parquet-mr/pull/84].

> 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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