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Posted to dev@parquet.apache.org by "Ryan Blue (JIRA)" <ji...@apache.org> on 2014/11/13 19:00:40 UTC

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

     [ https://issues.apache.org/jira/browse/PARQUET-132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ryan Blue updated PARQUET-132:
------------------------------
    Description: 
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>}}

  was:
The {{AvroParquetInputFormat}} currently extends {{ParquetInputFormat<IndexedRecord>}}, which works for regular MR cases. But Spark's {{hadoopRDD}} and {{newAPIHadoopRDD}} 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>}}


> 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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