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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.rdd
import org.apache.commons.logging.Log
import org.apache.commons.logging.LogFactory
import org.apache.spark.TaskContext
import org.apache.spark.util.TaskCompletionListener
import org.elasticsearch.hadoop.cfg.PropertiesSettings
import org.elasticsearch.hadoop.cfg.Settings
import org.elasticsearch.hadoop.mr.security.HadoopUserProvider
import org.elasticsearch.hadoop.rest.InitializationUtils
import org.elasticsearch.hadoop.rest.RestService
import org.elasticsearch.hadoop.security.UserProvider
import org.elasticsearch.hadoop.serialization.BytesConverter
import org.elasticsearch.hadoop.serialization.JdkBytesConverter
import org.elasticsearch.hadoop.serialization.builder.ValueWriter
import org.elasticsearch.hadoop.serialization.field.FieldExtractor
import org.elasticsearch.hadoop.serialization.bulk.MetadataExtractor
import org.elasticsearch.hadoop.serialization.bulk.PerEntityPoolingMetadataExtractor
import org.elasticsearch.hadoop.util.ObjectUtils
import org.elasticsearch.spark.serialization.ScalaMapFieldExtractor
import org.elasticsearch.spark.serialization.ScalaMetadataExtractor
import org.elasticsearch.spark.serialization.ScalaValueWriter
import java.util.Locale
import scala.reflect.ClassTag
private[spark] class EsRDDWriter[T: ClassTag](val serializedSettings: String,
val runtimeMetadata: Boolean = false)
extends Serializable {
@transient protected lazy val log: Log = LogFactory.getLog(this.getClass)
lazy val settings: Settings = {
val settings = new PropertiesSettings().load(serializedSettings)
InitializationUtils.setValueWriterIfNotSet(settings, valueWriter, log)
InitializationUtils.setBytesConverterIfNeeded(settings, bytesConverter, log)
InitializationUtils.setFieldExtractorIfNotSet(settings, fieldExtractor, log)
InitializationUtils.setMetadataExtractorIfNotSet(settings, metadataExtractor, log)
InitializationUtils.setUserProviderIfNotSet(settings, userProvider, log)
settings
}
lazy val metaExtractor = ObjectUtils.instantiate[MetadataExtractor](settings.getMappingMetadataExtractorClassName, settings)
def write(taskContext: TaskContext, data: Iterator[T]): Unit = {
if (settings.getOpaqueId() != null && settings.getOpaqueId().contains("] [task attempt ") == false) {
settings.setOpaqueId(String.format(Locale.ROOT, "%s [stage %s] [task attempt %s]", settings.getOpaqueId(),
taskContext.stageId().toString, taskContext.taskAttemptId.toString))
}
val writer = RestService.createWriter(settings, taskContext.partitionId.toLong, -1, log)
val listener = new TaskCompletionListener {
override def onTaskCompletion(context: TaskContext): Unit = writer.close()
}
taskContext.addTaskCompletionListener(listener)
if (runtimeMetadata) {
writer.repository.addRuntimeFieldExtractor(metaExtractor)
}
while (data.hasNext) {
writer.repository.writeToIndex(processData(data))
}
}
protected def valueWriter: Class[_ <: ValueWriter[_]] = classOf[ScalaValueWriter]
protected def bytesConverter: Class[_ <: BytesConverter] = classOf[JdkBytesConverter]
protected def fieldExtractor: Class[_ <: FieldExtractor] = classOf[ScalaMapFieldExtractor]
protected def metadataExtractor: Class[_ <: MetadataExtractor] = classOf[ScalaMetadataExtractor]
protected def userProvider: Class[_ <: UserProvider] = classOf[HadoopUserProvider]
protected def processData(data: Iterator[T]): Any = {
val next = data.next
if (runtimeMetadata) {
// use the key to extract metadata && return the value to be used as the document
val (key, value) = next
metaExtractor.setObject(key);
value
} else {
next
}
}
}