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

    https://github.com/apache/spark/pull/22612#discussion_r222404587
  
    --- Diff: 
core/src/main/scala/org/apache/spark/executor/ProcfsBasedSystems.scala ---
    @@ -0,0 +1,268 @@
    +/*
    + * 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 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 extends Logging {
    +  var procfsDir = "/proc/"
    +  val procfsStatFile = "stat"
    +  var pageSize = 0
    +  var isAvailable: Boolean = isItProcfsBased
    +  private val pid: Int = computePid()
    +  private val ptree: scala.collection.mutable.Map[ Int, Set[Int]] =
    +    scala.collection.mutable.Map[ Int, Set[Int]]()
    +
    +  var allMetrics: ProcfsBasedSystemsMetrics = ProcfsBasedSystemsMetrics(0, 
0, 0, 0, 0, 0)
    +  private var latestJVMVmemTotal: Long = 0
    +  private var latestJVMRSSTotal: Long = 0
    +  private var latestPythonVmemTotal: Long = 0
    +  private var latestPythonRSSTotal: Long = 0
    +  private var latestOtherVmemTotal: Long = 0
    +  private var latestOtherRSSTotal: Long = 0
    +
    +  computeProcessTree()
    +
    +  private def isItProcfsBased: 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[Byte] = 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")
    +        isAvailable = false
    +        return -1
    +      case _ => logDebug("Some exception occurred when trying to compute 
process tree. " +
    +        "As a result reporting of ProcessTree metrics is stopped")
    +        isAvailable = false
    +        return -1
    +    }
    +  }
    +
    +  private def computePageSize(): Unit = {
    +    val cmd = Array("getconf", "PAGESIZE")
    +    val out: Array[Byte] = Array.fill[Byte](10)(0)
    +    Runtime.getRuntime.exec(cmd).getInputStream.read(out)
    +    pageSize = Integer.parseInt(new String(out, "UTF-8").trim)
    +  }
    +
    +  private def computeProcessTree(): Unit = {
    +    if (!isAvailable) {
    +      return
    +    }
    +    computePageSize
    +    val queue: Queue[Int] = new Queue[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[Byte] = new 
mutable.ArrayBuffer()
    +      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: ArrayBuffer[Int] = new ArrayBuffer[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")
    +        isAvailable = false
    +        return new mutable.ArrayBuffer()
    +      case _ => logDebug("Some exception occurred when trying to compute 
process tree." +
    +        " As a result reporting of ProcessTree metrics is stopped")
    +        isAvailable = false
    +        return new mutable.ArrayBuffer()
    +    }
    +  }
    +
    +  /**
    +   * 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
    +   */
    +  def getProcessInfo(pid: Int): Unit = {
    +    try {
    +      val pidDir: File = new File(procfsDir, pid.toString)
    +      val fReader = new InputStreamReader(
    +        new FileInputStream(
    +          new File(pidDir, procfsStatFile)), Charset.forName("UTF-8"))
    +      val in: BufferedReader = new BufferedReader(fReader)
    +      val procInfo = in.readLine
    +      in.close
    +      fReader.close
    +      val procInfoSplit = procInfo.split(" ")
    +      if ( procInfoSplit != null ) {
    +        if (procInfoSplit(1).toLowerCase.contains("java")) {
    --- End diff --
    
    the checks for java & python seem error prone (maybe you have some external 
program called "pass-data-from-java-to-fizzbuzz-cpp") ... but I'm also not sure 
what else you could do here.


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