dongjoon-hyun commented on code in PR #44021:
URL: https://github.com/apache/spark/pull/44021#discussion_r1450191904


##########
connector/profiler/src/main/scala/org/apache/spark/executor/profiler/ExecutorJVMProfiler.scala:
##########
@@ -0,0 +1,183 @@
+/*
+ * 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.profiler
+
+import java.io.{BufferedInputStream, FileInputStream, InputStream, IOException}
+import java.net.URI
+import java.util.concurrent.{ScheduledExecutorService, TimeUnit}
+
+import one.profiler.{AsyncProfiler, AsyncProfilerLoader}
+import org.apache.hadoop.fs.{FileSystem, FSDataOutputStream, Path}
+
+import org.apache.spark.SparkConf
+import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.internal.Logging
+import org.apache.spark.util.ThreadUtils
+
+
+/**
+ * A class that enables the async JVM code profiler
+ */
+private[spark] class ExecutorJVMProfiler(conf: SparkConf, executorId: String) 
extends Logging {
+
+  private var running = false
+  private val enableProfiler = conf.get(EXECUTOR_PROFILING_ENABLED)
+  private val profilerOptions = conf.get(EXECUTOR_PROFILING_OPTIONS)
+  private val profilerDfsDir = conf.get(EXECUTOR_PROFILING_DFS_DIR)
+  private val profilerLocalDir = conf.get(EXECUTOR_PROFILING_LOCAL_DIR)
+  private val writeInterval = conf.get(EXECUTOR_PROFILING_WRITE_INTERVAL)
+
+  private val startcmd = 
s"start,$profilerOptions,file=$profilerLocalDir/profile.jfr"
+  private val stopcmd = 
s"stop,$profilerOptions,file=$profilerLocalDir/profile.jfr"
+  private val dumpcmd = 
s"dump,$profilerOptions,file=$profilerLocalDir/profile.jfr"
+  private val resumecmd = 
s"resume,$profilerOptions,file=$profilerLocalDir/profile.jfr"
+
+  private val UPLOAD_SIZE = 8 * 1024 * 1024 // 8 MB
+  private var outputStream: FSDataOutputStream = _
+  private var inputStream: InputStream = _
+  private val dataBuffer = new Array[Byte](UPLOAD_SIZE)
+  private var threadpool: ScheduledExecutorService = _
+  private var writing: Boolean = false
+
+  val profiler: Option[AsyncProfiler] = {
+    Option(
+      if (enableProfiler && AsyncProfilerLoader.isSupported) 
AsyncProfilerLoader.load() else null
+    )
+  }
+
+  def start(): Unit = {
+    if (!running) {
+      try {
+        profiler.foreach(p => {
+          p.execute(startcmd)
+          logInfo("Executor JVM profiling started.")
+          running = true
+          startWriting()
+        }
+        )
+      } catch {
+        case e@(_: IllegalArgumentException | _: IllegalStateException | _: 
IOException) =>
+          logError("JVM profiling aborted. Exception occurred in profiler 
native code: ", e)
+        case e: Exception => logWarning("Executor JVM profiling aborted due to 
exception: ", e)
+      }
+    }
+  }
+
+  /** Stops the profiling and saves output to dfs location. */
+  def stop(): Unit = {
+    if (running) {
+      profiler.foreach(p => {
+        p.execute(stopcmd)
+        logInfo("JVM profiler stopped")
+        running = false
+        finishWriting()
+      })
+    }
+  }
+
+  private def startWriting(): Unit = {
+    if (profilerDfsDir.isDefined) {
+      val applicationId = try {
+        conf.getAppId
+      } catch {
+        case _: NoSuchElementException => "local-" + System.currentTimeMillis
+      }
+      val config = SparkHadoopUtil.get.newConfiguration(conf)
+      val appName = conf.get("spark.app.name").replace(" ", "-")
+      val profilerOutputDirname = profilerDfsDir.get
+
+      val profileOutputFile =
+        
s"$profilerOutputDirname/$applicationId/profile-$appName-exec-$executorId.jfr"
+      val fs = FileSystem.get(new URI(profileOutputFile), config);
+      val filenamePath = new Path(profileOutputFile)
+      outputStream = fs.create(filenamePath)
+      try {
+        if (fs.exists(filenamePath)) {
+          fs.delete(filenamePath, true)
+        }
+        logInfo(s"Copying executor profiling file to $profileOutputFile")
+        inputStream = new BufferedInputStream(new 
FileInputStream(s"$profilerLocalDir/profile.jfr"))
+        threadpool = 
ThreadUtils.newDaemonSingleThreadScheduledExecutor("profilerOutputThread")
+        threadpool.scheduleWithFixedDelay(new Runnable() {
+          override def run(): Unit = writeChunk(false)
+        }, writeInterval, writeInterval,
+          TimeUnit.SECONDS)

Review Comment:
   The indentation of the above four lines looks weird to me. Could you revise?



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