dongjoon-hyun commented on code in PR #44021: URL: https://github.com/apache/spark/pull/44021#discussion_r1424416052
########## connector/profiler/src/main/scala/org/apache/spark/executor/profiler/ExecutorJVMProfiler.scala: ########## @@ -0,0 +1,171 @@ +/* + * 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} +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 code profiler + */ +private[spark] class ExecutorJVMProfiler(conf: SparkConf, executorId: String) extends Logging { + + private var running = false + private val enableProfiler = conf.get(EXECUTOR_CODE_PROFILING_ENABLED) + private val profilerOptions = conf.get(EXECUTOR_CODE_PROFILING_OPTIONS) + private val profilerOutputDir = conf.get(EXECUTOR_CODE_PROFILING_OUTPUT_DIR) + private val profilerLocalDir = conf.get(EXECUTOR_CODE_PROFILING_LOCAL_DIR) + private val writeInterval = conf.get(EXECUTOR_CODE_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: AsyncProfiler = if (enableProfiler) { + if (AsyncProfilerLoader.isSupported) { + AsyncProfilerLoader.load() + } else { + logWarning("Executor code profiling is enabled but is not supported for this platform") + null + } + } else { + null + } + + def start(): Unit = { + if (profiler != null && !running) { + logInfo("Executor code profiling starting.") + try { + profiler.execute(startcmd) + } catch { + case e: Exception => + logWarning("Executor code profiling aborted due to exception: ", e) + return + } + logInfo("Executor code profiling started.") + running = true + } + startWriting() + } + + /** Stops the profiling and saves output to hdfs location. */ Review Comment: Since `hdfs` could be misleading, `dfs`? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
