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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 org.apache.spark.ui.storage
import javax.servlet.http.HttpServletRequest
import scala.xml.Node
import org.apache.spark.storage.{RDDInfo, StorageUtils}
import org.apache.spark.ui.UIUtils._
import org.apache.spark.ui.Page._
import org.apache.spark.util.Utils
/** Page showing list of RDD's currently stored in the cluster */
private[spark] class IndexPage(parent: BlockManagerUI) {
val sc = parent.sc
def render(request: HttpServletRequest): Seq[Node] = {
val storageStatusList = sc.getExecutorStorageStatus
// Calculate macro-level statistics
val rddHeaders = Seq(
"RDD Name",
"Storage Level",
"Cached Partitions",
"Fraction Cached",
"Size in Memory",
"Size on Disk")
val rdds = StorageUtils.rddInfoFromStorageStatus(storageStatusList, sc)
val content = listingTable(rddHeaders, rddRow, rdds)
headerSparkPage(content, parent.sc, "Storage ", Storage)
}
def rddRow(rdd: RDDInfo): Seq[Node] = {
<tr>
<td>
<a href={"/storage/rdd?id=%s".format(rdd.id)}>
{rdd.name}
</a>
</td>
<td>{rdd.storageLevel.description}
</td>
<td>{rdd.numCachedPartitions}</td>
<td>{"%.0f%%".format(rdd.numCachedPartitions * 100.0 / rdd.numPartitions)}</td>
<td>{Utils.bytesToString(rdd.memSize)}</td>
<td>{Utils.bytesToString(rdd.diskSize)}</td>
</tr>
}
}
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