Github user dhruve commented on a diff in the pull request:

    https://github.com/apache/spark/pull/22612#discussion_r222784195
  
    --- Diff: 
core/src/main/scala/org/apache/spark/executor/ProcfsBasedSystems.scala ---
    @@ -0,0 +1,266 @@
    +/*
    + * 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.executor
    +
    +import java.io._
    +import java.nio.charset.Charset
    +import java.nio.file.{Files, Paths}
    +import java.util.Locale
    +
    +import scala.collection.mutable
    +import scala.collection.mutable.ArrayBuffer
    +import scala.collection.mutable.Queue
    +
    +import org.apache.spark.SparkEnv
    +import org.apache.spark.internal.{config, Logging}
    +
    +private[spark] case class ProcfsBasedSystemsMetrics(
    +    jvmVmemTotal: Long,
    +    jvmRSSTotal: Long,
    +    pythonVmemTotal: Long,
    +    pythonRSSTotal: Long,
    +    otherVmemTotal: Long,
    +    otherRSSTotal: Long)
    +
    +// Some of the ideas here are taken from the ProcfsBasedProcessTree class 
in hadoop
    +// project.
    +private[spark] class ProcfsBasedSystems(val procfsDir: String = "/proc/") 
extends Logging {
    +  val procfsStatFile = "stat"
    +  var pageSize = computePageSize()
    +  var isAvailable: Boolean = isProcfsAvailable
    +  private val pid = computePid()
    +  private val ptree = mutable.Map[ Int, Set[Int]]()
    +
    +  var allMetrics: ProcfsBasedSystemsMetrics = ProcfsBasedSystemsMetrics(0, 
0, 0, 0, 0, 0)
    +  private var latestJVMVmemTotal = 0L
    +  private var latestJVMRSSTotal = 0L
    +  private var latestPythonVmemTotal = 0L
    +  private var latestPythonRSSTotal = 0L
    +  private var latestOtherVmemTotal = 0L
    +  private var latestOtherRSSTotal = 0L
    +
    +  computeProcessTree()
    +
    +  private def isProcfsAvailable: Boolean = {
    +    val testing = sys.env.contains("SPARK_TESTING") || 
sys.props.contains("spark.testing")
    +    if (testing) {
    +      return true
    +    }
    +    try {
    +      if (!Files.exists(Paths.get(procfsDir))) {
    +        return false
    +      }
    +    }
    +    catch {
    +      case f: FileNotFoundException => return false
    +    }
    +    val shouldLogStageExecutorMetrics =
    +      SparkEnv.get.conf.get(config.EVENT_LOG_STAGE_EXECUTOR_METRICS)
    +    val shouldLogStageExecutorProcessTreeMetrics =
    +      SparkEnv.get.conf.get(config.EVENT_LOG_PROCESS_TREE_METRICS)
    +    shouldLogStageExecutorProcessTreeMetrics && 
shouldLogStageExecutorMetrics
    +  }
    +
    +  private def computePid(): Int = {
    +    if (!isAvailable) {
    +      return -1;
    +    }
    +    try {
    +      // This can be simplified in java9:
    +      // 
https://docs.oracle.com/javase/9/docs/api/java/lang/ProcessHandle.html
    +      val cmd = Array("bash", "-c", "echo $PPID")
    +      val length = 10
    +      val out = Array.fill[Byte](length)(0)
    +      Runtime.getRuntime.exec(cmd).getInputStream.read(out)
    +      val pid = Integer.parseInt(new String(out, "UTF-8").trim)
    +      return pid;
    +    }
    +    catch {
    +      case e: IOException => logDebug("IO Exception when trying to compute 
process tree." +
    +        " As a result reporting of ProcessTree metrics is stopped", e)
    +        isAvailable = false
    +        return -1
    +    }
    +  }
    +
    +  private def computePageSize(): Long = {
    +    val testing = sys.env.contains("SPARK_TESTING") || 
sys.props.contains("spark.testing")
    +    if (testing) {
    +      return 0;
    +    }
    +    val cmd = Array("getconf", "PAGESIZE")
    +    val out = Array.fill[Byte](10)(0)
    +    Runtime.getRuntime.exec(cmd).getInputStream.read(out)
    +    return Integer.parseInt(new String(out, "UTF-8").trim)
    +  }
    +
    +  private def computeProcessTree(): Unit = {
    +    if (!isAvailable) {
    +      return
    +    }
    +    val queue = mutable.Queue.empty[Int]
    +    queue += pid
    +    while( !queue.isEmpty ) {
    +      val p = queue.dequeue()
    +      val c = getChildPids(p)
    +      if(!c.isEmpty) {
    +        queue ++= c
    +        ptree += (p -> c.toSet)
    +      }
    +      else {
    +        ptree += (p -> Set[Int]())
    +      }
    +    }
    +  }
    +
    +  private def getChildPids(pid: Int): ArrayBuffer[Int] = {
    +    try {
    +      val cmd = Array("pgrep", "-P", pid.toString)
    +      val input = Runtime.getRuntime.exec(cmd).getInputStream
    +      val childPidsInByte = mutable.ArrayBuffer.empty[Byte]
    +      var d = input.read()
    +      while (d != -1) {
    +        childPidsInByte.append(d.asInstanceOf[Byte])
    +        d = input.read()
    +      }
    +      input.close()
    +      val childPids = new String(childPidsInByte.toArray, 
"UTF-8").split("\n")
    +      val childPidsInInt = mutable.ArrayBuffer.empty[Int]
    +      for (p <- childPids) {
    +        if (p != "") {
    +          childPidsInInt += Integer.parseInt(p)
    +        }
    +      }
    +      childPidsInInt
    +    } catch {
    +      case e: IOException => logDebug("IO Exception when trying to compute 
process tree." +
    +        " As a result reporting of ProcessTree metrics is stopped", e)
    +        isAvailable = false
    +        return mutable.ArrayBuffer.empty[Int]
    +    }
    +  }
    +
    +  def getProcessInfo(pid: Int): Unit = {
    +    /*
    +   * Hadoop ProcfsBasedProcessTree class used regex and pattern matching 
to retrive the memory
    +   * info. I tried that but found it not correct during tests, so I used 
normal string analysis
    +   * instead. The computation of RSS and Vmem are based on proc(5):
    +   * http://man7.org/linux/man-pages/man5/proc.5.html
    +   */
    +    try {
    +      val pidDir = new File(procfsDir, pid.toString)
    +      val fReader = new InputStreamReader(
    +        new FileInputStream(
    +          new File(pidDir, procfsStatFile)), Charset.forName("UTF-8"))
    +      val in = new BufferedReader(fReader)
    +      val procInfo = in.readLine
    +      in.close
    +      fReader.close
    +      val procInfoSplit = procInfo.split(" ")
    +      if ( procInfoSplit != null ) {
    +        val vmem = procInfoSplit(22).toLong
    +        val rssPages = procInfoSplit(23).toLong
    +        if (procInfoSplit(1).toLowerCase(Locale.US).contains("java")) {
    +          latestJVMVmemTotal += vmem
    +          latestJVMRSSTotal += rssPages
    +        }
    +        else if 
(procInfoSplit(1).toLowerCase(Locale.US).contains("python")) {
    +          latestPythonVmemTotal += vmem
    +          latestPythonRSSTotal += rssPages
    +        }
    +        else {
    +        latestOtherVmemTotal += vmem
    +        latestOtherRSSTotal += rssPages }
    +      }
    +    } catch {
    +      case f: FileNotFoundException => log.debug("There was a problem with 
reading" +
    +        " the stat file of the process", f)
    +    }
    +  }
    +
    +  def updateAllMetrics(): Unit = {
    +    allMetrics = computeAllMetrics
    +  }
    +
    +  private def computeAllMetrics(): ProcfsBasedSystemsMetrics = {
    +    if (!isAvailable) {
    +      return ProcfsBasedSystemsMetrics(-1, -1, -1, -1, -1, -1)
    +    }
    +    computeProcessTree
    +    val pids = ptree.keySet
    +    latestJVMRSSTotal = 0
    +    latestJVMVmemTotal = 0
    +    latestPythonRSSTotal = 0
    +    latestPythonVmemTotal = 0
    +    latestOtherRSSTotal = 0
    +    latestOtherVmemTotal = 0
    +    for (p <- pids) {
    +      getProcessInfo(p)
    +    }
    +    ProcfsBasedSystemsMetrics(
    +      getJVMVirtualMemInfo,
    +      getJVMRSSInfo,
    +      getPythonVirtualMemInfo,
    +      getPythonRSSInfo,
    +      getOtherVirtualMemInfo,
    +      getOtherRSSInfo)
    +
    +  }
    +
    +  def getOtherRSSInfo(): Long = {
    +    if (!isAvailable) {
    +      return -1
    +    }
    +    latestOtherRSSTotal*pageSize
    --- End diff --
    
    We can remove the individual variables and directly return the data from 
the current metrics instance. Also these seem to belong more to the metrics 
class and not really to the file system.


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