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From: JoshRosen <git@git.apache.org>
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Subject: [GitHub] spark pull request: Example pyspark-inputformat for Avro
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Message-Id: <20140729065218.6EC069B988F@tyr.zones.apache.org>
Date: Tue, 29 Jul 2014 06:52:18 +0000 (UTC)

Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1536#discussion_r15508267
  
    --- Diff: examples/src/main/scala/org/apache/spark/examples/pythonconverters/AvroGenericConverter.scala ---
    @@ -0,0 +1,80 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +
    +package org.apache.spark.examples.pythonconverters
    +
    +import org.apache.spark.api.python.Converter
    +import collection.JavaConversions._
    +
    +import org.apache.avro.generic.GenericRecord
    +import org.apache.avro.mapred.AvroKey
    +import org.apache.avro.mapreduce.AvroKeyInputFormat
    +import org.apache.avro.Schema.Field
    +import org.apache.avro.Schema
    +import org.apache.avro.Schema.Type._
    +
    +/* 
    +  Example usage in pyspark:  
    +
    +    avroRdd = sc.newAPIHadoopFile("/tmp/data.avro", 
    +      "org.apache.avro.mapreduce.AvroKeyInputFormat", 
    +      "org.apache.avro.mapred.AvroKey", 
    +      "org.apache.hadoop.io.NullWritable",
    +      keyConverter="org.apache.spark.examples.pythonconverters.AvroGenericConverter")
    +*/
    +class AvroGenericConverter extends Converter[AvroKey[GenericRecord], java.util.Map[String, Any]] {
    +  override def convert(obj: AvroKey[GenericRecord]): java.util.Map[String, Any] = {
    +
    +    def unpackRecord(record: GenericRecord): java.util.Map[String,Any] = {
    +      mapAsJavaMap(record.getSchema.getFields.map( f => (f.name, unpack(record.get(f.name), f.schema) ) ).toMap)
    +    }
    +    
    +    def unpackArray(value: Any, schema: Schema): java.util.List[Any] = {
    +      bufferAsJavaList(value.asInstanceOf[java.util.List[Any]].map( v => unpack(v, schema)))
    +    }
    +
    +    def unpackUnion(value: Any): Any = value match {   
    --- End diff --
    
    Unless I'm overlooking something, isn't this method essentially a no-op since it's a function Any => Any that only performs casts?


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