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/*
* 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.
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package org.apache.carbondata.indexserver
import scala.collection.JavaConverters._
import org.apache.spark.{Partition, SparkEnv, TaskContext}
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.hive.DistributionUtil
import org.apache.carbondata.core.index.IndexStoreManager
import org.apache.carbondata.core.indexstore.blockletindex.BlockletIndexFactory
import org.apache.carbondata.hadoop.CarbonInputSplit
import org.apache.carbondata.spark.rdd.CarbonRDD
class DistributedShowCacheRDD(@transient private val ss: SparkSession,
tableUniqueId: String,
executorCache: Boolean)
extends CarbonRDD[String](ss, Nil) {
val executorsList: Array[String] = DistributionUtil
.getExecutors(ss.sparkContext).flatMap {
case (host, executors) =>
executors.map { executor =>
s"executor_${ host }_$executor"
}
}.toArray
override protected def getPreferredLocations(split: Partition): Seq[String] = {
if (split.asInstanceOf[IndexRDDPartition].getLocations != null) {
split.asInstanceOf[IndexRDDPartition].getLocations.toSeq
} else {
Seq()
}
}
override protected def internalGetPartitions: Array[Partition] = {
executorsList.zipWithIndex.map {
case (executor, idx) =>
// create a dummy split for each executor to accumulate the cache size.
val dummySplit = new CarbonInputSplit()
dummySplit.setLocation(Array(executor))
new IndexRDDPartition(id, idx, List(dummySplit), Array(executor))
}
}
override def internalCompute(split: Partition, context: TaskContext): Iterator[String] = {
val indexes = IndexStoreManager.getInstance().getTableIndexForAllTables.asScala
val tableList = tableUniqueId.split(",")
val iterator = indexes.collect {
case (tableId, tableIndexes) if tableUniqueId.isEmpty || tableList.contains(tableId) =>
val sizeAndIndexLengths = tableIndexes.asScala
.map { index =>
val indexName = if (index.getIndexFactory.isInstanceOf[BlockletIndexFactory]) {
index
.getIndexFactory
.asInstanceOf[BlockletIndexFactory]
.getCarbonTable
.getTableUniqueName
} else {
index.getIndexSchema.getRelationIdentifier.getDatabaseName + "_" + index
.getIndexSchema.getIndexName
}
if (executorCache) {
val executorIP = s"${ SparkEnv.get.blockManager.blockManagerId.host }_${
SparkEnv.get.blockManager.blockManagerId.executorId
}"
s"${ executorIP }:${ index.getIndexFactory.getCacheSize }:${
index.getIndexSchema.getProviderName
}"
} else {
s"${indexName}:${index.getIndexFactory.getCacheSize}:${
index.getIndexSchema.getProviderName
}"
}
}
sizeAndIndexLengths
}.flatten.toIterator
iterator
}
}