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/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.elasticsearch.spark.serialization
import scala.collection.Map
import org.elasticsearch.hadoop.serialization.MapFieldExtractor
import org.elasticsearch.hadoop.serialization.field.FieldExtractor._
import org.elasticsearch.spark.serialization.{ ReflectionUtils => RU }
class ScalaMapFieldExtractor extends MapFieldExtractor {
override protected def extractField(target: AnyRef): AnyRef = {
var obj = target
for (index <- 0 until getFieldNames.size()) {
val field = getFieldNames.get(index)
obj = obj match {
case m: Map[_, _] => m.asInstanceOf[Map[AnyRef, AnyRef]].getOrElse(field, NOT_FOUND)
case p: Product if RU.isCaseClass(p) => RU.caseClassValues(p).getOrElse(field, NOT_FOUND).asInstanceOf[AnyRef]
case _ => {
val result = super.extractField(target)
if (result == NOT_FOUND && RU.isJavaBean(target)) {
RU.javaBeanAsMap(target).getOrElse(field, NOT_FOUND)
}
else {
result
}
}
}
}
obj
}
}