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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.
*/
package spark.ui.storage
import javax.servlet.http.HttpServletRequest
import scala.xml.Node
import spark.storage.{StorageStatus, StorageUtils}
import spark.ui.UIUtils._
import spark.Utils
import spark.storage.BlockManagerMasterActor.BlockStatus
import spark.ui.Page._
/** Page showing storage details for a given RDD */
private[spark] class RDDPage(parent: BlockManagerUI) {
val sc = parent.sc
def render(request: HttpServletRequest): Seq[Node] = {
val id = request.getParameter("id")
val prefix = "rdd_" + id.toString
val storageStatusList = sc.getExecutorStorageStatus
val filteredStorageStatusList = StorageUtils.
filterStorageStatusByPrefix(storageStatusList, prefix)
val rddInfo = StorageUtils.rddInfoFromStorageStatus(filteredStorageStatusList, sc).head
val workerHeaders = Seq("Host", "Memory Usage", "Disk Usage")
val workers = filteredStorageStatusList.map((prefix, _))
val workerTable = listingTable(workerHeaders, workerRow, workers)
val blockHeaders = Seq("Block Name", "Storage Level", "Size in Memory", "Size on Disk",
"Locations")
val blockStatuses = filteredStorageStatusList.flatMap(_.blocks).toArray.sortWith(_._1 < _._1)
val blockLocations = StorageUtils.blockLocationsFromStorageStatus(filteredStorageStatusList)
val blocks = blockStatuses.map {
case(id, status) => (id, status, blockLocations.get(id).getOrElse(Seq("UNKNOWN")))
}
val blockTable = listingTable(blockHeaders, blockRow, blocks)
val content =
<div class="row">
<div class="span12">
<ul class="unstyled">
<li>
<strong>Storage Level:</strong>
{rddInfo.storageLevel.description}
</li>
<li>
<strong>Cached Partitions:</strong>
{rddInfo.numCachedPartitions}
</li>
<li>
<strong>Total Partitions:</strong>
{rddInfo.numPartitions}
</li>
<li>
<strong>Memory Size:</strong>
{Utils.memoryBytesToString(rddInfo.memSize)}
</li>
<li>
<strong>Disk Size:</strong>
{Utils.memoryBytesToString(rddInfo.diskSize)}
</li>
</ul>
</div>
</div>
<hr/>
<div class="row">
<div class="span12">
{workerTable}
</div>
</div>
<hr/>
<div class="row">
<div class="span12">
<h3> RDD Summary </h3>
{blockTable}
</div>
</div>;
headerSparkPage(content, parent.sc, "RDD Info: " + rddInfo.name, Jobs)
}
def blockRow(row: (String, BlockStatus, Seq[String])): Seq[Node] = {
val (id, block, locations) = row
<tr>
<td>{id}</td>
<td>
{block.storageLevel.description}
</td>
<td sorttable_customkey={block.memSize.toString}>
{Utils.memoryBytesToString(block.memSize)}
</td>
<td sorttable_customkey={block.diskSize.toString}>
{Utils.memoryBytesToString(block.diskSize)}
</td>
<td>
{locations.map(l => <span>{l}<br/></span>)}
</td>
</tr>
}
def workerRow(worker: (String, StorageStatus)): Seq[Node] = {
val (prefix, status) = worker
<tr>
<td>{status.blockManagerId.host + ":" + status.blockManagerId.port}</td>
<td>
{Utils.memoryBytesToString(status.memUsed(prefix))}
({Utils.memoryBytesToString(status.memRemaining)} Total Available)
</td>
<td>{Utils.memoryBytesToString(status.diskUsed(prefix))}</td>
</tr>
}
}
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