spark Utils 源码
spark Utils 代码
文件路径：/core/src/main/scala/org/apache/spark/util/Utils.scala
/*
* 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.util
import java.io._
import java.lang.{Byte => JByte}
import java.lang.management.{LockInfo, ManagementFactory, MonitorInfo, ThreadInfo}
import java.lang.reflect.InvocationTargetException
import java.math.{MathContext, RoundingMode}
import java.net._
import java.nio.ByteBuffer
import java.nio.channels.{Channels, FileChannel, WritableByteChannel}
import java.nio.charset.StandardCharsets
import java.nio.file.Files
import java.security.SecureRandom
import java.util.{Locale, Properties, Random, UUID}
import java.util.concurrent._
import java.util.concurrent.TimeUnit.NANOSECONDS
import java.util.zip.{GZIPInputStream, ZipInputStream}
import scala.annotation.tailrec
import scala.collection.JavaConverters._
import scala.collection.Map
import scala.collection.mutable.ArrayBuffer
import scala.io.Source
import scala.reflect.ClassTag
import scala.util.{Failure, Success, Try}
import scala.util.control.{ControlThrowable, NonFatal}
import scala.util.matching.Regex
import _root_.io.netty.channel.unix.Errors.NativeIoException
import com.google.common.cache.{CacheBuilder, CacheLoader, LoadingCache}
import com.google.common.collect.Interners
import com.google.common.io.{ByteStreams, Files => GFiles}
import com.google.common.net.InetAddresses
import org.apache.commons.codec.binary.Hex
import org.apache.commons.io.IOUtils
import org.apache.commons.lang3.SystemUtils
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.{FileSystem, FileUtil, Path}
import org.apache.hadoop.io.compress.{CompressionCodecFactory, SplittableCompressionCodec}
import org.apache.hadoop.security.UserGroupInformation
import org.apache.hadoop.util.{RunJar, StringUtils}
import org.apache.hadoop.yarn.conf.YarnConfiguration
import org.apache.logging.log4j.{Level, LogManager}
import org.apache.logging.log4j.core.LoggerContext
import org.eclipse.jetty.util.MultiException
import org.slf4j.Logger
import org.apache.spark._
import org.apache.spark.deploy.SparkHadoopUtil
import org.apache.spark.internal.{config, Logging}
import org.apache.spark.internal.config._
import org.apache.spark.internal.config.Streaming._
import org.apache.spark.internal.config.Tests.IS_TESTING
import org.apache.spark.internal.config.UI._
import org.apache.spark.internal.config.Worker._
import org.apache.spark.launcher.SparkLauncher
import org.apache.spark.network.util.JavaUtils
import org.apache.spark.serializer.{DeserializationStream, SerializationStream, Serializer, SerializerInstance}
import org.apache.spark.status.api.v1.{StackTrace, ThreadStackTrace}
import org.apache.spark.util.collection.{Utils => CUtils}
import org.apache.spark.util.io.ChunkedByteBufferOutputStream
/** CallSite represents a place in user code. It can have a short and a long form. */
private[spark] case class CallSite(shortForm: String, longForm: String)
private[spark] object CallSite {
val SHORT_FORM = "callSite.short"
val LONG_FORM = "callSite.long"
val empty = CallSite("", "")
}
/**
* Various utility methods used by Spark.
*/
private[spark] object Utils extends Logging {
val random = new Random()
private val sparkUncaughtExceptionHandler = new SparkUncaughtExceptionHandler
@volatile private var cachedLocalDir: String = ""
/**
* Define a default value for driver memory here since this value is referenced across the code
* base and nearly all files already use Utils.scala
*/
val DEFAULT_DRIVER_MEM_MB = JavaUtils.DEFAULT_DRIVER_MEM_MB.toInt
val MAX_DIR_CREATION_ATTEMPTS: Int = 10
@volatile private var localRootDirs: Array[String] = null
/** Scheme used for files that are locally available on worker nodes in the cluster. */
val LOCAL_SCHEME = "local"
private val weakStringInterner = Interners.newWeakInterner[String]()
private val PATTERN_FOR_COMMAND_LINE_ARG = "-D(.+?)=(.+)".r
/** Serialize an object using Java serialization */
def serialize[T](o: T): Array[Byte] = {
val bos = new ByteArrayOutputStream()
val oos = new ObjectOutputStream(bos)
oos.writeObject(o)
oos.close()
bos.toByteArray
}
/** Deserialize an object using Java serialization */
def deserialize[T](bytes: Array[Byte]): T = {
val bis = new ByteArrayInputStream(bytes)
val ois = new ObjectInputStream(bis)
ois.readObject.asInstanceOf[T]
}
/** Deserialize an object using Java serialization and the given ClassLoader */
def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
val bis = new ByteArrayInputStream(bytes)
val ois = new ObjectInputStream(bis) {
override def resolveClass(desc: ObjectStreamClass): Class[_] = {
// scalastyle:off classforname
Class.forName(desc.getName, false, loader)
// scalastyle:on classforname
}
}
ois.readObject.asInstanceOf[T]
}
/** Deserialize a Long value (used for [[org.apache.spark.api.python.PythonPartitioner]]) */
def deserializeLongValue(bytes: Array[Byte]) : Long = {
// Note: we assume that we are given a Long value encoded in network (big-endian) byte order
var result = bytes(7) & 0xFFL
result = result + ((bytes(6) & 0xFFL) << 8)
result = result + ((bytes(5) & 0xFFL) << 16)
result = result + ((bytes(4) & 0xFFL) << 24)
result = result + ((bytes(3) & 0xFFL) << 32)
result = result + ((bytes(2) & 0xFFL) << 40)
result = result + ((bytes(1) & 0xFFL) << 48)
result + ((bytes(0) & 0xFFL) << 56)
}
/** Serialize via nested stream using specific serializer */
def serializeViaNestedStream(os: OutputStream, ser: SerializerInstance)(
f: SerializationStream => Unit): Unit = {
val osWrapper = ser.serializeStream(new OutputStream {
override def write(b: Int): Unit = os.write(b)
override def write(b: Array[Byte], off: Int, len: Int): Unit = os.write(b, off, len)
})
try {
f(osWrapper)
} finally {
osWrapper.close()
}
}
/** Deserialize via nested stream using specific serializer */
def deserializeViaNestedStream(is: InputStream, ser: SerializerInstance)(
f: DeserializationStream => Unit): Unit = {
val isWrapper = ser.deserializeStream(new InputStream {
override def read(): Int = is.read()
override def read(b: Array[Byte], off: Int, len: Int): Int = is.read(b, off, len)
})
try {
f(isWrapper)
} finally {
isWrapper.close()
}
}
/** String interning to reduce the memory usage. */
def weakIntern(s: String): String = {
weakStringInterner.intern(s)
}
/**
* Get the ClassLoader which loaded Spark.
*/
def getSparkClassLoader: ClassLoader = getClass.getClassLoader
/**
* Get the Context ClassLoader on this thread or, if not present, the ClassLoader that
* loaded Spark.
*
* This should be used whenever passing a ClassLoader to Class.ForName or finding the currently
* active loader when setting up ClassLoader delegation chains.
*/
def getContextOrSparkClassLoader: ClassLoader =
Option(Thread.currentThread().getContextClassLoader).getOrElse(getSparkClassLoader)
/** Determines whether the provided class is loadable in the current thread. */
def classIsLoadable(clazz: String): Boolean = {
Try { classForName(clazz, initialize = false) }.isSuccess
}
// scalastyle:off classforname
/**
* Preferred alternative to Class.forName(className), as well as
* Class.forName(className, initialize, loader) with current thread's ContextClassLoader.
*/
def classForName[C](
className: String,
initialize: Boolean = true,
noSparkClassLoader: Boolean = false): Class[C] = {
if (!noSparkClassLoader) {
Class.forName(className, initialize, getContextOrSparkClassLoader).asInstanceOf[Class[C]]
} else {
Class.forName(className, initialize, Thread.currentThread().getContextClassLoader).
asInstanceOf[Class[C]]
}
// scalastyle:on classforname
}
/**
* Run a segment of code using a different context class loader in the current thread
*/
def withContextClassLoader[T](ctxClassLoader: ClassLoader)(fn: => T): T = {
val oldClassLoader = Thread.currentThread().getContextClassLoader()
try {
Thread.currentThread().setContextClassLoader(ctxClassLoader)
fn
} finally {
Thread.currentThread().setContextClassLoader(oldClassLoader)
}
}
/**
* Primitive often used when writing [[java.nio.ByteBuffer]] to [[java.io.DataOutput]]
*/
def writeByteBuffer(bb: ByteBuffer, out: DataOutput): Unit = {
if (bb.hasArray) {
out.write(bb.array(), bb.arrayOffset() + bb.position(), bb.remaining())
} else {
val originalPosition = bb.position()
val bbval = new Array[Byte](bb.remaining())
bb.get(bbval)
out.write(bbval)
bb.position(originalPosition)
}
}
/**
* Primitive often used when writing [[java.nio.ByteBuffer]] to [[java.io.OutputStream]]
*/
def writeByteBuffer(bb: ByteBuffer, out: OutputStream): Unit = {
if (bb.hasArray) {
out.write(bb.array(), bb.arrayOffset() + bb.position(), bb.remaining())
} else {
val originalPosition = bb.position()
val bbval = new Array[Byte](bb.remaining())
bb.get(bbval)
out.write(bbval)
bb.position(originalPosition)
}
}
/**
* JDK equivalent of `chmod 700 file`.
*
* @param file the file whose permissions will be modified
* @return true if the permissions were successfully changed, false otherwise.
*/
def chmod700(file: File): Boolean = {
file.setReadable(false, false) &&
file.setReadable(true, true) &&
file.setWritable(false, false) &&
file.setWritable(true, true) &&
file.setExecutable(false, false) &&
file.setExecutable(true, true)
}
/**
* Create a directory given the abstract pathname
* @return true, if the directory is successfully created; otherwise, return false.
*/
def createDirectory(dir: File): Boolean = {
try {
// SPARK-35907: The check was required by File.mkdirs() because it could sporadically
// fail silently. After switching to Files.createDirectories(), ideally, there should
// no longer be silent fails. But the check is kept for the safety concern. We can
// remove the check when we're sure that Files.createDirectories() would never fail silently.
Files.createDirectories(dir.toPath)
if ( !dir.exists() || !dir.isDirectory) {
logError(s"Failed to create directory " + dir)
}
dir.isDirectory
} catch {
case e: Exception =>
logError(s"Failed to create directory " + dir, e)
false
}
}
/**
* Create a directory inside the given parent directory. The directory is guaranteed to be
* newly created, and is not marked for automatic deletion.
*/
def createDirectory(root: String, namePrefix: String = "spark"): File = {
JavaUtils.createDirectory(root, namePrefix)
}
/**
* Create a temporary directory inside the given parent directory. The directory will be
* automatically deleted when the VM shuts down.
*/
def createTempDir(
root: String = System.getProperty("java.io.tmpdir"),
namePrefix: String = "spark"): File = {
JavaUtils.createTempDir(root, namePrefix)
}
/**
* Copy all data from an InputStream to an OutputStream. NIO way of file stream to file stream
* copying is disabled by default unless explicitly set transferToEnabled as true,
* the parameter transferToEnabled should be configured by spark.file.transferTo = [true|false].
*/
def copyStream(
in: InputStream,
out: OutputStream,
closeStreams: Boolean = false,
transferToEnabled: Boolean = false): Long = {
tryWithSafeFinally {
(in, out) match {
case (input: FileInputStream, output: FileOutputStream) if transferToEnabled =>
// When both streams are File stream, use transferTo to improve copy performance.
val inChannel = input.getChannel
val outChannel = output.getChannel
val size = inChannel.size()
copyFileStreamNIO(inChannel, outChannel, 0, size)
size
case (input, output) =>
var count = 0L
val buf = new Array[Byte](8192)
var n = 0
while (n != -1) {
n = input.read(buf)
if (n != -1) {
output.write(buf, 0, n)
count += n
}
}
count
}
} {
if (closeStreams) {
try {
in.close()
} finally {
out.close()
}
}
}
}
/**
* Copy the first `maxSize` bytes of data from the InputStream to an in-memory
* buffer, primarily to check for corruption.
*
* This returns a new InputStream which contains the same data as the original input stream.
* It may be entirely on in-memory buffer, or it may be a combination of in-memory data, and then
* continue to read from the original stream. The only real use of this is if the original input
* stream will potentially detect corruption while the data is being read (e.g. from compression).
* This allows for an eager check of corruption in the first maxSize bytes of data.
*
* @return An InputStream which includes all data from the original stream (combining buffered
* data and remaining data in the original stream)
*/
def copyStreamUpTo(in: InputStream, maxSize: Long): InputStream = {
var count = 0L
val out = new ChunkedByteBufferOutputStream(64 * 1024, ByteBuffer.allocate)
val fullyCopied = tryWithSafeFinally {
val bufSize = Math.min(8192L, maxSize)
val buf = new Array[Byte](bufSize.toInt)
var n = 0
while (n != -1 && count < maxSize) {
n = in.read(buf, 0, Math.min(maxSize - count, bufSize).toInt)
if (n != -1) {
out.write(buf, 0, n)
count += n
}
}
count < maxSize
} {
try {
if (count < maxSize) {
in.close()
}
} finally {
out.close()
}
}
if (fullyCopied) {
out.toChunkedByteBuffer.toInputStream(dispose = true)
} else {
new SequenceInputStream( out.toChunkedByteBuffer.toInputStream(dispose = true), in)
}
}
def copyFileStreamNIO(
input: FileChannel,
output: WritableByteChannel,
startPosition: Long,
bytesToCopy: Long): Unit = {
val outputInitialState = output match {
case outputFileChannel: FileChannel =>
Some((outputFileChannel.position(), outputFileChannel))
case _ => None
}
var count = 0L
// In case transferTo method transferred less data than we have required.
while (count < bytesToCopy) {
count += input.transferTo(count + startPosition, bytesToCopy - count, output)
}
assert(count == bytesToCopy,
s"request to copy $bytesToCopy bytes, but actually copied $count bytes.")
// Check the position after transferTo loop to see if it is in the right position and
// give user information if not.
// Position will not be increased to the expected length after calling transferTo in
// kernel version 2.6.32, this issue can be seen in
// https://bugs.openjdk.java.net/browse/JDK-7052359
// This will lead to stream corruption issue when using sort-based shuffle (SPARK-3948).
outputInitialState.foreach { case (initialPos, outputFileChannel) =>
val finalPos = outputFileChannel.position()
val expectedPos = initialPos + bytesToCopy
assert(finalPos == expectedPos,
s"""
|Current position $finalPos do not equal to expected position $expectedPos
|after transferTo, please check your kernel version to see if it is 2.6.32,
|this is a kernel bug which will lead to unexpected behavior when using transferTo.
|You can set spark.file.transferTo = false to disable this NIO feature.
""".stripMargin)
}
}
/**
* A file name may contain some invalid URI characters, such as " ". This method will convert the
* file name to a raw path accepted by `java.net.URI(String)`.
*
* Note: the file name must not contain "/" or "\"
*/
def encodeFileNameToURIRawPath(fileName: String): String = {
require(!fileName.contains("/") && !fileName.contains("\\"))
// `file` and `localhost` are not used. Just to prevent URI from parsing `fileName` as
// scheme or host. The prefix "/" is required because URI doesn't accept a relative path.
// We should remove it after we get the raw path.
new URI("file", null, "localhost", -1, "/" + fileName, null, null).getRawPath.substring(1)
}
/**
* Get the file name from uri's raw path and decode it. If the raw path of uri ends with "/",
* return the name before the last "/".
*/
def decodeFileNameInURI(uri: URI): String = {
val rawPath = uri.getRawPath
val rawFileName = rawPath.split("/").last
new URI("file:///" + rawFileName).getPath.substring(1)
}
/**
* Download a file or directory to target directory. Supports fetching the file in a variety of
* ways, including HTTP, Hadoop-compatible filesystems, and files on a standard filesystem, based
* on the URL parameter. Fetching directories is only supported from Hadoop-compatible
* filesystems.
*
* If `useCache` is true, first attempts to fetch the file to a local cache that's shared
* across executors running the same application. `useCache` is used mainly for
* the executors, and not in local mode.
*
* Throws SparkException if the target file already exists and has different contents than
* the requested file.
*
* If `shouldUntar` is true, it untars the given url if it is a tar.gz or tgz into `targetDir`.
* This is a legacy behavior, and users should better use `spark.archives` configuration or
* `SparkContext.addArchive`
*/
def fetchFile(
url: String,
targetDir: File,
conf: SparkConf,
hadoopConf: Configuration,
timestamp: Long,
useCache: Boolean,
shouldUntar: Boolean = true): File = {
val fileName = decodeFileNameInURI(new URI(url))
val targetFile = new File(targetDir, fileName)
val fetchCacheEnabled = conf.getBoolean("spark.files.useFetchCache", defaultValue = true)
if (useCache && fetchCacheEnabled) {
val cachedFileName = s"${url.hashCode}${timestamp}_cache"
val lockFileName = s"${url.hashCode}${timestamp}_lock"
// Set the cachedLocalDir for the first time and re-use it later
if (cachedLocalDir.isEmpty) {
this.synchronized {
if (cachedLocalDir.isEmpty) {
cachedLocalDir = getLocalDir(conf)
}
}
}
val localDir = new File(cachedLocalDir)
val lockFile = new File(localDir, lockFileName)
val lockFileChannel = new RandomAccessFile(lockFile, "rw").getChannel()
// Only one executor entry.
// The FileLock is only used to control synchronization for executors download file,
// it's always safe regardless of lock type (mandatory or advisory).
val lock = lockFileChannel.lock()
val cachedFile = new File(localDir, cachedFileName)
try {
if (!cachedFile.exists()) {
doFetchFile(url, localDir, cachedFileName, conf, hadoopConf)
}
} finally {
lock.release()
lockFileChannel.close()
}
copyFile(
url,
cachedFile,
targetFile,
conf.getBoolean("spark.files.overwrite", false)
)
} else {
doFetchFile(url, targetDir, fileName, conf, hadoopConf)
}
if (shouldUntar) {
// Decompress the file if it's a .tar or .tar.gz
if (fileName.endsWith(".tar.gz") || fileName.endsWith(".tgz")) {
logWarning(
"Untarring behavior will be deprecated at spark.files and " +
"SparkContext.addFile. Consider using spark.archives or SparkContext.addArchive " +
"instead.")
logInfo("Untarring " + fileName)
executeAndGetOutput(Seq("tar", "-xzf", fileName), targetDir)
} else if (fileName.endsWith(".tar")) {
logWarning(
"Untarring behavior will be deprecated at spark.files and " +
"SparkContext.addFile. Consider using spark.archives or SparkContext.addArchive " +
"instead.")
logInfo("Untarring " + fileName)
executeAndGetOutput(Seq("tar", "-xf", fileName), targetDir)
}
}
// Make the file executable - That's necessary for scripts
FileUtil.chmod(targetFile.getAbsolutePath, "a+x")
// Windows does not grant read permission by default to non-admin users
// Add read permission to owner explicitly
if (isWindows) {
FileUtil.chmod(targetFile.getAbsolutePath, "u+r")
}
targetFile
}
/**
* Unpacks an archive file into the specified directory. It expects .jar, .zip, .tar.gz, .tgz
* and .tar files. This behaves same as Hadoop's archive in distributed cache. This method is
* basically copied from `org.apache.hadoop.yarn.util.FSDownload.unpack`.
*/
def unpack(source: File, dest: File): Unit = {
if (!source.exists()) {
throw new FileNotFoundException(source.getAbsolutePath)
}
val lowerSrc = StringUtils.toLowerCase(source.getName)
if (lowerSrc.endsWith(".jar")) {
RunJar.unJar(source, dest, RunJar.MATCH_ANY)
} else if (lowerSrc.endsWith(".zip")) {
// TODO(SPARK-37677): should keep file permissions. Java implementation doesn't.
FileUtil.unZip(source, dest)
} else if (lowerSrc.endsWith(".tar.gz") || lowerSrc.endsWith(".tgz")) {
FileUtil.unTar(source, dest)
} else if (lowerSrc.endsWith(".tar")) {
// TODO(SPARK-38632): should keep file permissions. Java implementation doesn't.
unTarUsingJava(source, dest)
} else {
logWarning(s"Cannot unpack $source, just copying it to $dest.")
copyRecursive(source, dest)
}
}
/**
* The method below was copied from `FileUtil.unTar` but uses Java-based implementation
* to work around a security issue, see also SPARK-38631.
*/
private def unTarUsingJava(source: File, dest: File): Unit = {
if (!dest.mkdirs && !dest.isDirectory) {
throw new IOException(s"Mkdirs failed to create $dest")
} else {
try {
// Should not fail because all Hadoop 2.1+ (from HADOOP-9264)
// have 'unTarUsingJava'.
val mth = classOf[FileUtil].getDeclaredMethod(
"unTarUsingJava", classOf[File], classOf[File], classOf[Boolean])
mth.setAccessible(true)
mth.invoke(null, source, dest, java.lang.Boolean.FALSE)
} catch {
// Re-throw the original exception.
case e: java.lang.reflect.InvocationTargetException if e.getCause != null =>
throw e.getCause
}
}
}
/** Records the duration of running `body`. */
def timeTakenMs[T](body: => T): (T, Long) = {
val startTime = System.nanoTime()
val result = body
val endTime = System.nanoTime()
(result, math.max(NANOSECONDS.toMillis(endTime - startTime), 0))
}
/**
* Download `in` to `tempFile`, then move it to `destFile`.
*
* If `destFile` already exists:
* - no-op if its contents equal those of `sourceFile`,
* - throw an exception if `fileOverwrite` is false,
* - attempt to overwrite it otherwise.
*
* @param url URL that `sourceFile` originated from, for logging purposes.
* @param in InputStream to download.
* @param destFile File path to move `tempFile` to.
* @param fileOverwrite Whether to delete/overwrite an existing `destFile` that does not match
* `sourceFile`
*/
private def downloadFile(
url: String,
in: InputStream,
destFile: File,
fileOverwrite: Boolean): Unit = {
val tempFile = File.createTempFile("fetchFileTemp", null,
new File(destFile.getParentFile.getAbsolutePath))
logInfo(s"Fetching $url to $tempFile")
try {
val out = new FileOutputStream(tempFile)
Utils.copyStream(in, out, closeStreams = true)
copyFile(url, tempFile, destFile, fileOverwrite, removeSourceFile = true)
} finally {
// Catch-all for the couple of cases where for some reason we didn't move `tempFile` to
// `destFile`.
if (tempFile.exists()) {
tempFile.delete()
}
}
}
/**
* Copy `sourceFile` to `destFile`.
*
* If `destFile` already exists:
* - no-op if its contents equal those of `sourceFile`,
* - throw an exception if `fileOverwrite` is false,
* - attempt to overwrite it otherwise.
*
* @param url URL that `sourceFile` originated from, for logging purposes.
* @param sourceFile File path to copy/move from.
* @param destFile File path to copy/move to.
* @param fileOverwrite Whether to delete/overwrite an existing `destFile` that does not match
* `sourceFile`
* @param removeSourceFile Whether to remove `sourceFile` after / as part of moving/copying it to
* `destFile`.
*/
private def copyFile(
url: String,
sourceFile: File,
destFile: File,
fileOverwrite: Boolean,
removeSourceFile: Boolean = false): Unit = {
if (destFile.exists) {
if (!filesEqualRecursive(sourceFile, destFile)) {
if (fileOverwrite) {
logInfo(
s"File $destFile exists and does not match contents of $url, replacing it with $url"
)
if (!destFile.delete()) {
throw new SparkException(
"Failed to delete %s while attempting to overwrite it with %s".format(
destFile.getAbsolutePath,
sourceFile.getAbsolutePath
)
)
}
} else {
throw new SparkException(
s"File $destFile exists and does not match contents of $url")
}
} else {
// Do nothing if the file contents are the same, i.e. this file has been copied
// previously.
logInfo(
"%s has been previously copied to %s".format(
sourceFile.getAbsolutePath,
destFile.getAbsolutePath
)
)
return
}
}
// The file does not exist in the target directory. Copy or move it there.
if (removeSourceFile) {
Files.move(sourceFile.toPath, destFile.toPath)
} else {
logInfo(s"Copying ${sourceFile.getAbsolutePath} to ${destFile.getAbsolutePath}")
copyRecursive(sourceFile, destFile)
}
}
private def filesEqualRecursive(file1: File, file2: File): Boolean = {
if (file1.isDirectory && file2.isDirectory) {
val subfiles1 = file1.listFiles()
val subfiles2 = file2.listFiles()
if (subfiles1.size != subfiles2.size) {
return false
}
subfiles1.sortBy(_.getName).zip(subfiles2.sortBy(_.getName)).forall {
case (f1, f2) => filesEqualRecursive(f1, f2)
}
} else if (file1.isFile && file2.isFile) {
GFiles.equal(file1, file2)
} else {
false
}
}
private def copyRecursive(source: File, dest: File): Unit = {
if (source.isDirectory) {
if (!dest.mkdir()) {
throw new IOException(s"Failed to create directory ${dest.getPath}")
}
val subfiles = source.listFiles()
subfiles.foreach(f => copyRecursive(f, new File(dest, f.getName)))
} else {
Files.copy(source.toPath, dest.toPath)
}
}
/**
* Download a file or directory to target directory. Supports fetching the file in a variety of
* ways, including HTTP, Hadoop-compatible filesystems, and files on a standard filesystem, based
* on the URL parameter. Fetching directories is only supported from Hadoop-compatible
* filesystems.
*
* Throws SparkException if the target file already exists and has different contents than
* the requested file.
*/
def doFetchFile(
url: String,
targetDir: File,
filename: String,
conf: SparkConf,
hadoopConf: Configuration): File = {
val targetFile = new File(targetDir, filename)
val uri = new URI(url)
val fileOverwrite = conf.getBoolean("spark.files.overwrite", defaultValue = false)
Option(uri.getScheme).getOrElse("file") match {
case "spark" =>
if (SparkEnv.get == null) {
throw new IllegalStateException(
"Cannot retrieve files with 'spark' scheme without an active SparkEnv.")
}
val source = SparkEnv.get.rpcEnv.openChannel(url)
val is = Channels.newInputStream(source)
downloadFile(url, is, targetFile, fileOverwrite)
case "http" | "https" | "ftp" =>
val uc = new URL(url).openConnection()
val timeoutMs =
conf.getTimeAsSeconds("spark.files.fetchTimeout", "60s").toInt * 1000
uc.setConnectTimeout(timeoutMs)
uc.setReadTimeout(timeoutMs)
uc.connect()
val in = uc.getInputStream()
downloadFile(url, in, targetFile, fileOverwrite)
case "file" =>
// In the case of a local file, copy the local file to the target directory.
// Note the difference between uri vs url.
val sourceFile = if (uri.isAbsolute) new File(uri) else new File(uri.getPath)
copyFile(url, sourceFile, targetFile, fileOverwrite)
case _ =>
val fs = getHadoopFileSystem(uri, hadoopConf)
val path = new Path(uri)
fetchHcfsFile(path, targetDir, fs, conf, hadoopConf, fileOverwrite,
filename = Some(filename))
}
targetFile
}
/**
* Fetch a file or directory from a Hadoop-compatible filesystem.
*
* Visible for testing
*/
private[spark] def fetchHcfsFile(
path: Path,
targetDir: File,
fs: FileSystem,
conf: SparkConf,
hadoopConf: Configuration,
fileOverwrite: Boolean,
filename: Option[String] = None): Unit = {
if (!targetDir.exists() && !targetDir.mkdir()) {
throw new IOException(s"Failed to create directory ${targetDir.getPath}")
}
val dest = new File(targetDir, filename.getOrElse(path.getName))
if (fs.isFile(path)) {
val in = fs.open(path)
try {
downloadFile(path.toString, in, dest, fileOverwrite)
} finally {
in.close()
}
} else {
fs.listStatus(path).foreach { fileStatus =>
fetchHcfsFile(fileStatus.getPath(), dest, fs, conf, hadoopConf, fileOverwrite)
}
}
}
/**
* Validate that a given URI is actually a valid URL as well.
* @param uri The URI to validate
*/
@throws[MalformedURLException]("when the URI is an invalid URL")
def validateURL(uri: URI): Unit = {
Option(uri.getScheme).getOrElse("file") match {
case "http" | "https" | "ftp" =>
try {
uri.toURL
} catch {
case e: MalformedURLException =>
val ex = new MalformedURLException(s"URI (${uri.toString}) is not a valid URL.")
ex.initCause(e)
throw ex
}
case _ => // will not be turned into a URL anyway
}
}
/**
* Get the path of a temporary directory. Spark's local directories can be configured through
* multiple settings, which are used with the following precedence:
*
* - If called from inside of a YARN container, this will return a directory chosen by YARN.
* - If the SPARK_LOCAL_DIRS environment variable is set, this will return a directory from it.
* - Otherwise, if the spark.local.dir is set, this will return a directory from it.
* - Otherwise, this will return java.io.tmpdir.
*
* Some of these configuration options might be lists of multiple paths, but this method will
* always return a single directory. The return directory is chosen randomly from the array
* of directories it gets from getOrCreateLocalRootDirs.
*/
def getLocalDir(conf: SparkConf): String = {
val localRootDirs = getOrCreateLocalRootDirs(conf)
if (localRootDirs.isEmpty) {
val configuredLocalDirs = getConfiguredLocalDirs(conf)
throw new IOException(
s"Failed to get a temp directory under [${configuredLocalDirs.mkString(",")}].")
} else {
localRootDirs(scala.util.Random.nextInt(localRootDirs.length))
}
}
private[spark] def isRunningInYarnContainer(conf: SparkConf): Boolean = {
// These environment variables are set by YARN.
conf.getenv("CONTAINER_ID") != null
}
/**
* Returns if the current codes are running in a Spark task, e.g., in executors.
*/
def isInRunningSparkTask: Boolean = TaskContext.get() != null
/**
* Gets or creates the directories listed in spark.local.dir or SPARK_LOCAL_DIRS,
* and returns only the directories that exist / could be created.
*
* If no directories could be created, this will return an empty list.
*
* This method will cache the local directories for the application when it's first invoked.
* So calling it multiple times with a different configuration will always return the same
* set of directories.
*/
private[spark] def getOrCreateLocalRootDirs(conf: SparkConf): Array[String] = {
if (localRootDirs == null) {
this.synchronized {
if (localRootDirs == null) {
localRootDirs = getOrCreateLocalRootDirsImpl(conf)
}
}
}
localRootDirs
}
/**
* Return the configured local directories where Spark can write files. This
* method does not create any directories on its own, it only encapsulates the
* logic of locating the local directories according to deployment mode.
*/
def getConfiguredLocalDirs(conf: SparkConf): Array[String] = {
val shuffleServiceEnabled = conf.get(config.SHUFFLE_SERVICE_ENABLED)
if (isRunningInYarnContainer(conf)) {
// If we are in yarn mode, systems can have different disk layouts so we must set it
// to what Yarn on this system said was available. Note this assumes that Yarn has
// created the directories already, and that they are secured so that only the
// user has access to them.
randomizeInPlace(getYarnLocalDirs(conf).split(","))
} else if (conf.getenv("SPARK_EXECUTOR_DIRS") != null) {
conf.getenv("SPARK_EXECUTOR_DIRS").split(File.pathSeparator)
} else if (conf.getenv("SPARK_LOCAL_DIRS") != null) {
conf.getenv("SPARK_LOCAL_DIRS").split(",")
} else if (conf.getenv("MESOS_SANDBOX") != null && !shuffleServiceEnabled) {
// Mesos already creates a directory per Mesos task. Spark should use that directory
// instead so all temporary files are automatically cleaned up when the Mesos task ends.
// Note that we don't want this if the shuffle service is enabled because we want to
// continue to serve shuffle files after the executors that wrote them have already exited.
Array(conf.getenv("MESOS_SANDBOX"))
} else {
if (conf.getenv("MESOS_SANDBOX") != null && shuffleServiceEnabled) {
logInfo("MESOS_SANDBOX available but not using provided Mesos sandbox because " +
s"${config.SHUFFLE_SERVICE_ENABLED.key} is enabled.")
}
// In non-Yarn mode (or for the driver in yarn-client mode), we cannot trust the user
// configuration to point to a secure directory. So create a subdirectory with restricted
// permissions under each listed directory.
conf.get("spark.local.dir", System.getProperty("java.io.tmpdir")).split(",")
}
}
private def getOrCreateLocalRootDirsImpl(conf: SparkConf): Array[String] = {
val configuredLocalDirs = getConfiguredLocalDirs(conf)
val uris = configuredLocalDirs.filter { root =>
// Here, we guess if the given value is a URI at its best - check if scheme is set.
Try(new URI(root).getScheme != null).getOrElse(false)
}
if (uris.nonEmpty) {
logWarning(
"The configured local directories are not expected to be URIs; however, got suspicious " +
s"values [${uris.mkString(", ")}]. Please check your configured local directories.")
}
configuredLocalDirs.flatMap { root =>
try {
val rootDir = new File(root)
if (rootDir.exists || rootDir.mkdirs()) {
val dir = createTempDir(root)
chmod700(dir)
Some(dir.getAbsolutePath)
} else {
logError(s"Failed to create dir in $root. Ignoring this directory.")
None
}
} catch {
case e: IOException =>
logError(s"Failed to create local root dir in $root. Ignoring this directory.")
None
}
}
}
/** Get the Yarn approved local directories. */
private def getYarnLocalDirs(conf: SparkConf): String = {
val localDirs = Option(conf.getenv("LOCAL_DIRS")).getOrElse("")
if (localDirs.isEmpty) {
throw new Exception("Yarn Local dirs can't be empty")
}
localDirs
}
/** Used by unit tests. Do not call from other places. */
private[spark] def clearLocalRootDirs(): Unit = {
localRootDirs = null
}
/**
* Shuffle the elements of a collection into a random order, returning the
* result in a new collection. Unlike scala.util.Random.shuffle, this method
* uses a local random number generator, avoiding inter-thread contention.
*/
def randomize[T: ClassTag](seq: TraversableOnce[T]): Seq[T] = {
randomizeInPlace(seq.toArray)
}
/**
* Shuffle the elements of an array into a random order, modifying the
* original array. Returns the original array.
*/
def randomizeInPlace[T](arr: Array[T], rand: Random = new Random): Array[T] = {
for (i <- (arr.length - 1) to 1 by -1) {
val j = rand.nextInt(i + 1)
val tmp = arr(j)
arr(j) = arr(i)
arr(i) = tmp
}
arr
}
/**
* Get the local host's IP address in dotted-quad format (e.g. 1.2.3.4).
* Note, this is typically not used from within core spark.
*/
private lazy val localIpAddress: InetAddress = findLocalInetAddress()
private def findLocalInetAddress(): InetAddress = {
val defaultIpOverride = System.getenv("SPARK_LOCAL_IP")
if (defaultIpOverride != null) {
InetAddress.getByName(defaultIpOverride)
} else {
val address = InetAddress.getLocalHost
if (address.isLoopbackAddress) {
// Address resolves to something like 127.0.1.1, which happens on Debian; try to find
// a better address using the local network interfaces
// getNetworkInterfaces returns ifs in reverse order compared to ifconfig output order
// on unix-like system. On windows, it returns in index order.
// It's more proper to pick ip address following system output order.
val activeNetworkIFs = NetworkInterface.getNetworkInterfaces.asScala.toSeq
val reOrderedNetworkIFs = if (isWindows) activeNetworkIFs else activeNetworkIFs.reverse
for (ni <- reOrderedNetworkIFs) {
val addresses = ni.getInetAddresses.asScala
.filterNot(addr => addr.isLinkLocalAddress || addr.isLoopbackAddress).toSeq
if (addresses.nonEmpty) {
val addr = addresses.find(_.isInstanceOf[Inet4Address]).getOrElse(addresses.head)
// because of Inet6Address.toHostName may add interface at the end if it knows about it
val strippedAddress = InetAddress.getByAddress(addr.getAddress)
// We've found an address that looks reasonable!
logWarning("Your hostname, " + InetAddress.getLocalHost.getHostName + " resolves to" +
" a loopback address: " + address.getHostAddress + "; using " +
strippedAddress.getHostAddress + " instead (on interface " + ni.getName + ")")
logWarning("Set SPARK_LOCAL_IP if you need to bind to another address")
return strippedAddress
}
}
logWarning("Your hostname, " + InetAddress.getLocalHost.getHostName + " resolves to" +
" a loopback address: " + address.getHostAddress + ", but we couldn't find any" +
" external IP address!")
logWarning("Set SPARK_LOCAL_IP if you need to bind to another address")
}
address
}
}
private var customHostname: Option[String] = sys.env.get("SPARK_LOCAL_HOSTNAME")
/**
* Allow setting a custom host name because when we run on Mesos we need to use the same
* hostname it reports to the master.
*/
def setCustomHostname(hostname: String): Unit = {
// DEBUG code
Utils.checkHost(hostname)
customHostname = Some(hostname)
}
/**
* Get the local machine's FQDN.
*/
def localCanonicalHostName(): String = {
addBracketsIfNeeded(customHostname.getOrElse(localIpAddress.getCanonicalHostName))
}
/**
* Get the local machine's hostname.
* In case of IPv6, getHostAddress may return '0:0:0:0:0:0:0:1'.
*/
def localHostName(): String = {
addBracketsIfNeeded(customHostname.getOrElse(localIpAddress.getHostAddress))
}
/**
* Get the local machine's URI.
*/
def localHostNameForURI(): String = {
addBracketsIfNeeded(customHostname.getOrElse(InetAddresses.toUriString(localIpAddress)))
}
private[spark] def addBracketsIfNeeded(addr: String): String = {
if (addr.contains(":") && !addr.contains("[")) {
"[" + addr + "]"
} else {
addr
}
}
/**
* Checks if the host contains only valid hostname/ip without port
* NOTE: Incase of IPV6 ip it should be enclosed inside []
*/
def checkHost(host: String): Unit = {
if (host != null && host.split(":").length > 2) {
assert(host.startsWith("[") && host.endsWith("]"),
s"Expected hostname or IPv6 IP enclosed in [] but got $host")
} else {
assert(host != null && host.indexOf(':') == -1, s"Expected hostname or IP but got $host")
}
}
def checkHostPort(hostPort: String): Unit = {
if (hostPort != null && hostPort.split(":").length > 2) {
assert(hostPort != null && hostPort.indexOf("]:") != -1,
s"Expected host and port but got $hostPort")
} else {
assert(hostPort != null && hostPort.indexOf(':') != -1,
s"Expected host and port but got $hostPort")
}
}
// Typically, this will be of order of number of nodes in cluster
// If not, we should change it to LRUCache or something.
private val hostPortParseResults = new ConcurrentHashMap[String, (String, Int)]()
def parseHostPort(hostPort: String): (String, Int) = {
// Check cache first.
val cached = hostPortParseResults.get(hostPort)
if (cached != null) {
return cached
}
def setDefaultPortValue: (String, Int) = {
val retval = (hostPort, 0)
hostPortParseResults.put(hostPort, retval)
retval
}
// checks if the hostport contains IPV6 ip and parses the host, port
if (hostPort != null && hostPort.split(":").length > 2) {
val index: Int = hostPort.lastIndexOf("]:")
if (-1 == index) {
return setDefaultPortValue
}
val port = hostPort.substring(index + 2).trim()
val retval = (hostPort.substring(0, index + 1).trim(), if (port.isEmpty) 0 else port.toInt)
hostPortParseResults.putIfAbsent(hostPort, retval)
} else {
val index: Int = hostPort.lastIndexOf(':')
if (-1 == index) {
return setDefaultPortValue
}
val port = hostPort.substring(index + 1).trim()
val retval = (hostPort.substring(0, index).trim(), if (port.isEmpty) 0 else port.toInt)
hostPortParseResults.putIfAbsent(hostPort, retval)
}
hostPortParseResults.get(hostPort)
}
/**
* Return the string to tell how long has passed in milliseconds.
* @param startTimeNs - a timestamp in nanoseconds returned by `System.nanoTime`.
*/
def getUsedTimeNs(startTimeNs: Long): String = {
s"${TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startTimeNs)} ms"
}
/**
* Lists files recursively.
*/
def recursiveList(f: File): Array[File] = {
require(f.isDirectory)
val result = f.listFiles.toBuffer
val dirList = result.filter(_.isDirectory)
while (dirList.nonEmpty) {
val curDir = dirList.remove(0)
val files = curDir.listFiles()
result ++= files
dirList ++= files.filter(_.isDirectory)
}
result.toArray
}
/**
* Delete a file or directory and its contents recursively.
* Don't follow directories if they are symlinks.
* Throws an exception if deletion is unsuccessful.
*/
def deleteRecursively(file: File): Unit = {
if (file != null) {
JavaUtils.deleteRecursively(file)
ShutdownHookManager.removeShutdownDeleteDir(file)
}
}
/**
* Determines if a directory contains any files newer than cutoff seconds.
*
* @param dir must be the path to a directory, or IllegalArgumentException is thrown
* @param cutoff measured in seconds. Returns true if there are any files or directories in the
* given directory whose last modified time is later than this many seconds ago
*/
def doesDirectoryContainAnyNewFiles(dir: File, cutoff: Long): Boolean = {
if (!dir.isDirectory) {
throw new IllegalArgumentException(s"$dir is not a directory!")
}
val filesAndDirs = dir.listFiles()
val cutoffTimeInMillis = System.currentTimeMillis - (cutoff * 1000)
filesAndDirs.exists(_.lastModified() > cutoffTimeInMillis) ||
filesAndDirs.filter(_.isDirectory).exists(
subdir => doesDirectoryContainAnyNewFiles(subdir, cutoff)
)
}
/**
* Convert a time parameter such as (50s, 100ms, or 250us) to milliseconds for internal use. If
* no suffix is provided, the passed number is assumed to be in ms.
*/
def timeStringAsMs(str: String): Long = {
JavaUtils.timeStringAsMs(str)
}
/**
* Convert a time parameter such as (50s, 100ms, or 250us) to seconds for internal use. If
* no suffix is provided, the passed number is assumed to be in seconds.
*/
def timeStringAsSeconds(str: String): Long = {
JavaUtils.timeStringAsSec(str)
}
/**
* Convert a passed byte string (e.g. 50b, 100k, or 250m) to bytes for internal use.
*
* If no suffix is provided, the passed number is assumed to be in bytes.
*/
def byteStringAsBytes(str: String): Long = {
JavaUtils.byteStringAsBytes(str)
}
/**
* Convert a passed byte string (e.g. 50b, 100k, or 250m) to kibibytes for internal use.
*
* If no suffix is provided, the passed number is assumed to be in kibibytes.
*/
def byteStringAsKb(str: String): Long = {
JavaUtils.byteStringAsKb(str)
}
/**
* Convert a passed byte string (e.g. 50b, 100k, or 250m) to mebibytes for internal use.
*
* If no suffix is provided, the passed number is assumed to be in mebibytes.
*/
def byteStringAsMb(str: String): Long = {
JavaUtils.byteStringAsMb(str)
}
/**
* Convert a passed byte string (e.g. 50b, 100k, or 250m, 500g) to gibibytes for internal use.
*
* If no suffix is provided, the passed number is assumed to be in gibibytes.
*/
def byteStringAsGb(str: String): Long = {
JavaUtils.byteStringAsGb(str)
}
/**
* Convert a Java memory parameter passed to -Xmx (such as 300m or 1g) to a number of mebibytes.
*/
def memoryStringToMb(str: String): Int = {
// Convert to bytes, rather than directly to MiB, because when no units are specified the unit
// is assumed to be bytes
(JavaUtils.byteStringAsBytes(str) / 1024 / 1024).toInt
}
/**
* Convert a quantity in bytes to a human-readable string such as "4.0 MiB".
*/
def bytesToString(size: Long): String = bytesToString(BigInt(size))
def bytesToString(size: BigInt): String = {
val EiB = 1L << 60
val PiB = 1L << 50
val TiB = 1L << 40
val GiB = 1L << 30
val MiB = 1L << 20
val KiB = 1L << 10
if (size >= BigInt(1L << 11) * EiB) {
// The number is too large, show it in scientific notation.
BigDecimal(size, new MathContext(3, RoundingMode.HALF_UP)).toString() + " B"
} else {
val (value, unit) = {
if (size >= 2 * EiB) {
(BigDecimal(size) / EiB, "EiB")
} else if (size >= 2 * PiB) {
(BigDecimal(size) / PiB, "PiB")
} else if (size >= 2 * TiB) {
(BigDecimal(size) / TiB, "TiB")
} else if (size >= 2 * GiB) {
(BigDecimal(size) / GiB, "GiB")
} else if (size >= 2 * MiB) {
(BigDecimal(size) / MiB, "MiB")
} else if (size >= 2 * KiB) {
(BigDecimal(size) / KiB, "KiB")
} else {
(BigDecimal(size), "B")
}
}
"%.1f %s".formatLocal(Locale.US, value, unit)
}
}
/**
* Returns a human-readable string representing a duration such as "35ms"
*/
def msDurationToString(ms: Long): String = {
val second = 1000
val minute = 60 * second
val hour = 60 * minute
val locale = Locale.US
ms match {
case t if t < second =>
"%d ms".formatLocal(locale, t)
case t if t < minute =>
"%.1f s".formatLocal(locale, t.toFloat / second)
case t if t < hour =>
"%.1f m".formatLocal(locale, t.toFloat / minute)
case t =>
"%.2f h".formatLocal(locale, t.toFloat / hour)
}
}
/**
* Convert a quantity in megabytes to a human-readable string such as "4.0 MiB".
*/
def megabytesToString(megabytes: Long): String = {
bytesToString(megabytes * 1024L * 1024L)
}
/**
* Execute a command and return the process running the command.
*/
def executeCommand(
command: Seq[String],
workingDir: File = new File("."),
extraEnvironment: Map[String, String] = Map.empty,
redirectStderr: Boolean = true): Process = {
val builder = new ProcessBuilder(command: _*).directory(workingDir)
val environment = builder.environment()
for ((key, value) <- extraEnvironment) {
environment.put(key, value)
}
val process = builder.start()
if (redirectStderr) {
val threadName = "redirect stderr for command " + command(0)
def log(s: String): Unit = logInfo(s)
processStreamByLine(threadName, process.getErrorStream, log)
}
process
}
/**
* Execute a command and get its output, throwing an exception if it yields a code other than 0.
*/
def executeAndGetOutput(
command: Seq[String],
workingDir: File = new File("."),
extraEnvironment: Map[String, String] = Map.empty,
redirectStderr: Boolean = true): String = {
val process = executeCommand(command, workingDir, extraEnvironment, redirectStderr)
val output = new StringBuilder
val threadName = "read stdout for " + command(0)
def appendToOutput(s: String): Unit = output.append(s).append("\n")
val stdoutThread = processStreamByLine(threadName, process.getInputStream, appendToOutput)
val exitCode = process.waitFor()
stdoutThread.join() // Wait for it to finish reading output
if (exitCode != 0) {
logError(s"Process $command exited with code $exitCode: $output")
throw new SparkException(s"Process $command exited with code $exitCode")
}
output.toString
}
/**
* Return and start a daemon thread that processes the content of the input stream line by line.
*/
def processStreamByLine(
threadName: String,
inputStream: InputStream,
processLine: String => Unit): Thread = {
val t = new Thread(threadName) {
override def run(): Unit = {
for (line <- Source.fromInputStream(inputStream).getLines()) {
processLine(line)
}
}
}
t.setDaemon(true)
t.start()
t
}
/**
* Execute a block of code that evaluates to Unit, forwarding any uncaught exceptions to the
* default UncaughtExceptionHandler
*
* NOTE: This method is to be called by the spark-started JVM process.
*/
def tryOrExit(block: => Unit): Unit = {
try {
block
} catch {
case e: ControlThrowable => throw e
case t: Throwable => sparkUncaughtExceptionHandler.uncaughtException(t)
}
}
/**
* Execute a block of code that evaluates to Unit, stop SparkContext if there is any uncaught
* exception
*
* NOTE: This method is to be called by the driver-side components to avoid stopping the
* user-started JVM process completely; in contrast, tryOrExit is to be called in the
* spark-started JVM process .
*/
def tryOrStopSparkContext(sc: SparkContext)(block: => Unit): Unit = {
try {
block
} catch {
case e: ControlThrowable => throw e
case t: Throwable =>
val currentThreadName = Thread.currentThread().getName
if (sc != null) {
logError(s"uncaught error in thread $currentThreadName, stopping SparkContext", t)
sc.stopInNewThread()
}
if (!NonFatal(t)) {
logError(s"throw uncaught fatal error in thread $currentThreadName", t)
throw t
}
}
}
/**
* Execute a block of code that returns a value, re-throwing any non-fatal uncaught
* exceptions as IOException. This is used when implementing Externalizable and Serializable's
* read and write methods, since Java's serializer will not report non-IOExceptions properly;
* see SPARK-4080 for more context.
*/
def tryOrIOException[T](block: => T): T = {
try {
block
} catch {
case e: IOException =>
logError("Exception encountered", e)
throw e
case NonFatal(e) =>
logError("Exception encountered", e)
throw new IOException(e)
}
}
/** Executes the given block. Log non-fatal errors if any, and only throw fatal errors */
def tryLogNonFatalError(block: => Unit): Unit = {
try {
block
} catch {
case NonFatal(t) =>
logError(s"Uncaught exception in thread ${Thread.currentThread().getName}", t)
}
}
/**
* Execute a block of code, then a finally block, but if exceptions happen in
* the finally block, do not suppress the original exception.
*
* This is primarily an issue with `finally { out.close() }` blocks, where
* close needs to be called to clean up `out`, but if an exception happened
* in `out.write`, it's likely `out` may be corrupted and `out.close` will
* fail as well. This would then suppress the original/likely more meaningful
* exception from the original `out.write` call.
*/
def tryWithSafeFinally[T](block: => T)(finallyBlock: => Unit): T = {
var originalThrowable: Throwable = null
try {
block
} catch {
case t: Throwable =>
// Purposefully not using NonFatal, because even fatal exceptions
// we don't want to have our finallyBlock suppress
originalThrowable = t
throw originalThrowable
} finally {
try {
finallyBlock
} catch {
case t: Throwable if (originalThrowable != null && originalThrowable != t) =>
originalThrowable.addSuppressed(t)
logWarning(s"Suppressing exception in finally: ${t.getMessage}", t)
throw originalThrowable
}
}
}
/**
* Execute a block of code and call the failure callbacks in the catch block. If exceptions occur
* in either the catch or the finally block, they are appended to the list of suppressed
* exceptions in original exception which is then rethrown.
*
* This is primarily an issue with `catch { abort() }` or `finally { out.close() }` blocks,
* where the abort/close needs to be called to clean up `out`, but if an exception happened
* in `out.write`, it's likely `out` may be corrupted and `abort` or `out.close` will
* fail as well. This would then suppress the original/likely more meaningful
* exception from the original `out.write` call.
*/
def tryWithSafeFinallyAndFailureCallbacks[T](block: => T)
(catchBlock: => Unit = (), finallyBlock: => Unit = ()): T = {
var originalThrowable: Throwable = null
try {
block
} catch {
case cause: Throwable =>
// Purposefully not using NonFatal, because even fatal exceptions
// we don't want to have our finallyBlock suppress
originalThrowable = cause
try {
logError("Aborting task", originalThrowable)
if (TaskContext.get() != null) {
TaskContext.get().markTaskFailed(originalThrowable)
}
catchBlock
} catch {
case t: Throwable =>
if (originalThrowable != t) {
originalThrowable.addSuppressed(t)
logWarning(s"Suppressing exception in catch: ${t.getMessage}", t)
}
}
throw originalThrowable
} finally {
try {
finallyBlock
} catch {
case t: Throwable if (originalThrowable != null && originalThrowable != t) =>
originalThrowable.addSuppressed(t)
logWarning(s"Suppressing exception in finally: ${t.getMessage}", t)
throw originalThrowable
}
}
}
// A regular expression to match classes of the internal Spark API's
// that we want to skip when finding the call site of a method.
private val SPARK_CORE_CLASS_REGEX =
"""^org\.apache\.spark(\.api\.java)?(\.util)?(\.rdd)?(\.broadcast)?\.[A-Z]""".r
private val SPARK_SQL_CLASS_REGEX = """^org\.apache\.spark\.sql.*""".r
/** Default filtering function for finding call sites using `getCallSite`. */
private def sparkInternalExclusionFunction(className: String): Boolean = {
val SCALA_CORE_CLASS_PREFIX = "scala"
val isSparkClass = SPARK_CORE_CLASS_REGEX.findFirstIn(className).isDefined ||
SPARK_SQL_CLASS_REGEX.findFirstIn(className).isDefined
val isScalaClass = className.startsWith(SCALA_CORE_CLASS_PREFIX)
// If the class is a Spark internal class or a Scala class, then exclude.
isSparkClass || isScalaClass
}
/**
* When called inside a class in the spark package, returns the name of the user code class
* (outside the spark package) that called into Spark, as well as which Spark method they called.
* This is used, for example, to tell users where in their code each RDD got created.
*
* @param skipClass Function that is used to exclude non-user-code classes.
*/
def getCallSite(skipClass: String => Boolean = sparkInternalExclusionFunction): CallSite = {
// Keep crawling up the stack trace until we find the first function not inside of the spark
// package. We track the last (shallowest) contiguous Spark method. This might be an RDD
// transformation, a SparkContext function (such as parallelize), or anything else that leads
// to instantiation of an RDD. We also track the first (deepest) user method, file, and line.
var lastSparkMethod = "<unknown>"
var firstUserFile = "<unknown>"
var firstUserLine = 0
var insideSpark = true
val callStack = new ArrayBuffer[String]() :+ "<unknown>"
Thread.currentThread.getStackTrace().foreach { ste: StackTraceElement =>
// When running under some profilers, the current stack trace might contain some bogus
// frames. This is intended to ensure that we don't crash in these situations by
// ignoring any frames that we can't examine.
if (ste != null && ste.getMethodName != null
&& !ste.getMethodName.contains("getStackTrace")) {
if (insideSpark) {
if (skipClass(ste.getClassName)) {
lastSparkMethod = if (ste.getMethodName == "<init>") {
// Spark method is a constructor; get its class name
ste.getClassName.substring(ste.getClassName.lastIndexOf('.') + 1)
} else {
ste.getMethodName
}
callStack(0) = ste.toString // Put last Spark method on top of the stack trace.
} else {
if (ste.getFileName != null) {
firstUserFile = ste.getFileName
if (ste.getLineNumber >= 0) {
firstUserLine = ste.getLineNumber
}
}
callStack += ste.toString
insideSpark = false
}
} else {
callStack += ste.toString
}
}
}
val callStackDepth = System.getProperty("spark.callstack.depth", "20").toInt
val shortForm =
if (firstUserFile == "HiveSessionImpl.java") {
// To be more user friendly, show a nicer string for queries submitted from the JDBC
// server.
"Spark JDBC Server Query"
} else {
s"$lastSparkMethod at $firstUserFile:$firstUserLine"
}
val longForm = callStack.take(callStackDepth).mkString("\n")
CallSite(shortForm, longForm)
}
private var compressedLogFileLengthCache: LoadingCache[String, java.lang.Long] = null
private def getCompressedLogFileLengthCache(
sparkConf: SparkConf): LoadingCache[String, java.lang.Long] = this.synchronized {
if (compressedLogFileLengthCache == null) {
val compressedLogFileLengthCacheSize = sparkConf.get(
UNCOMPRESSED_LOG_FILE_LENGTH_CACHE_SIZE_CONF)
compressedLogFileLengthCache = CacheBuilder.newBuilder()
.maximumSize(compressedLogFileLengthCacheSize)
.build[String, java.lang.Long](new CacheLoader[String, java.lang.Long]() {
override def load(path: String): java.lang.Long = {
Utils.getCompressedFileLength(new File(path))
}
})
}
compressedLogFileLengthCache
}
/**
* Return the file length, if the file is compressed it returns the uncompressed file length.
* It also caches the uncompressed file size to avoid repeated decompression. The cache size is
* read from workerConf.
*/
def getFileLength(file: File, workConf: SparkConf): Long = {
if (file.getName.endsWith(".gz")) {
getCompressedLogFileLengthCache(workConf).get(file.getAbsolutePath)
} else {
file.length
}
}
/** Return uncompressed file length of a compressed file. */
private def getCompressedFileLength(file: File): Long = {
var gzInputStream: GZIPInputStream = null
try {
// Uncompress .gz file to determine file size.
var fileSize = 0L
gzInputStream = new GZIPInputStream(new FileInputStream(file))
val bufSize = 1024
val buf = new Array[Byte](bufSize)
var numBytes = ByteStreams.read(gzInputStream, buf, 0, bufSize)
while (numBytes > 0) {
fileSize += numBytes
numBytes = ByteStreams.read(gzInputStream, buf, 0, bufSize)
}
fileSize
} catch {
case e: Throwable =>
logError(s"Cannot get file length of ${file}", e)
throw e
} finally {
if (gzInputStream != null) {
gzInputStream.close()
}
}
}
/** Return a string containing part of a file from byte 'start' to 'end'. */
def offsetBytes(path: String, length: Long, start: Long, end: Long): String = {
val file = new File(path)
val effectiveEnd = math.min(length, end)
val effectiveStart = math.max(0, start)
val buff = new Array[Byte]((effectiveEnd-effectiveStart).toInt)
val stream = if (path.endsWith(".gz")) {
new GZIPInputStream(new FileInputStream(file))
} else {
new FileInputStream(file)
}
try {
ByteStreams.skipFully(stream, effectiveStart)
ByteStreams.readFully(stream, buff)
} finally {
stream.close()
}
Source.fromBytes(buff).mkString
}
/**
* Return a string containing data across a set of files. The `startIndex`
* and `endIndex` is based on the cumulative size of all the files take in
* the given order. See figure below for more details.
*/
def offsetBytes(files: Seq[File], fileLengths: Seq[Long], start: Long, end: Long): String = {
assert(files.length == fileLengths.length)
val startIndex = math.max(start, 0)
val endIndex = math.min(end, fileLengths.sum)
val fileToLength = CUtils.toMap(files, fileLengths)
logDebug("Log files: \n" + fileToLength.mkString("\n"))
val stringBuffer = new StringBuffer((endIndex - startIndex).toInt)
var sum = 0L
files.zip(fileLengths).foreach { case (file, fileLength) =>
val startIndexOfFile = sum
val endIndexOfFile = sum + fileToLength(file)
logDebug(s"Processing file $file, " +
s"with start index = $startIndexOfFile, end index = $endIndex")
/*
____________
range 1: | |
| case A |
files: |==== file 1 ====|====== file 2 ======|===== file 3 =====|
| case B . case C . case D |
range 2: |___________.____________________.______________|
*/
if (startIndex <= startIndexOfFile && endIndex >= endIndexOfFile) {
// Case C: read the whole file
stringBuffer.append(offsetBytes(file.getAbsolutePath, fileLength, 0, fileToLength(file)))
} else if (startIndex > startIndexOfFile && startIndex < endIndexOfFile) {
// Case A and B: read from [start of required range] to [end of file / end of range]
val effectiveStartIndex = startIndex - startIndexOfFile
val effectiveEndIndex = math.min(endIndex - startIndexOfFile, fileToLength(file))
stringBuffer.append(Utils.offsetBytes(
file.getAbsolutePath, fileLength, effectiveStartIndex, effectiveEndIndex))
} else if (endIndex > startIndexOfFile && endIndex < endIndexOfFile) {
// Case D: read from [start of file] to [end of require range]
val effectiveStartIndex = math.max(startIndex - startIndexOfFile, 0)
val effectiveEndIndex = endIndex - startIndexOfFile
stringBuffer.append(Utils.offsetBytes(
file.getAbsolutePath, fileLength, effectiveStartIndex, effectiveEndIndex))
}
sum += fileToLength(file)
logDebug(s"After processing file $file, string built is ${stringBuffer.toString}")
}
stringBuffer.toString
}
/**
* Clone an object using a Spark serializer.
*/
def clone[T: ClassTag](value: T, serializer: SerializerInstance): T = {
serializer.deserialize[T](serializer.serialize(value))
}
private def isSpace(c: Char): Boolean = {
" \t\r\n".indexOf(c) != -1
}
/**
* Split a string of potentially quoted arguments from the command line the way that a shell
* would do it to determine arguments to a command. For example, if the string is 'a "b c" d',
* then it would be parsed as three arguments: 'a', 'b c' and 'd'.
*/
def splitCommandString(s: String): Seq[String] = {
val buf = new ArrayBuffer[String]
var inWord = false
var inSingleQuote = false
var inDoubleQuote = false
val curWord = new StringBuilder
def endWord(): Unit = {
buf += curWord.toString
curWord.clear()
}
var i = 0
while (i < s.length) {
val nextChar = s.charAt(i)
if (inDoubleQuote) {
if (nextChar == '"') {
inDoubleQuote = false
} else if (nextChar == '\\') {
if (i < s.length - 1) {
// Append the next character directly, because only " and \ may be escaped in
// double quotes after the shell's own expansion
curWord.append(s.charAt(i + 1))
i += 1
}
} else {
curWord.append(nextChar)
}
} else if (inSingleQuote) {
if (nextChar == '\'') {
inSingleQuote = false
} else {
curWord.append(nextChar)
}
// Backslashes are not treated specially in single quotes
} else if (nextChar == '"') {
inWord = true
inDoubleQuote = true
} else if (nextChar == '\'') {
inWord = true
inSingleQuote = true
} else if (!isSpace(nextChar)) {
curWord.append(nextChar)
inWord = true
} else if (inWord && isSpace(nextChar)) {
endWord()
inWord = false
}
i += 1
}
if (inWord || inDoubleQuote || inSingleQuote) {
endWord()
}
buf.toSeq
}
/* Calculates 'x' modulo 'mod', takes to consideration sign of x,
* i.e. if 'x' is negative, than 'x' % 'mod' is negative too
* so function return (x % mod) + mod in that case.
*/
def nonNegativeMod(x: Int, mod: Int): Int = {
val rawMod = x % mod
rawMod + (if (rawMod < 0) mod else 0)
}
// Handles idiosyncrasies with hash (add more as required)
// This method should be kept in sync with
// org.apache.spark.network.util.JavaUtils#nonNegativeHash().
def nonNegativeHash(obj: AnyRef): Int = {
// Required ?
if (obj eq null) return 0
val hash = obj.hashCode
// math.abs fails for Int.MinValue
val hashAbs = if (Int.MinValue != hash) math.abs(hash) else 0
// Nothing else to guard against ?
hashAbs
}
/**
* Returns the system properties map that is thread-safe to iterator over. It gets the
* properties which have been set explicitly, as well as those for which only a default value
* has been defined.
*/
def getSystemProperties: Map[String, String] = {
System.getProperties.stringPropertyNames().asScala
.map(key => (key, System.getProperty(key))).toMap
}
/**
* Method executed for repeating a task for side effects.
* Unlike a for comprehension, it permits JVM JIT optimization
*/
def times(numIters: Int)(f: => Unit): Unit = {
var i = 0
while (i < numIters) {
f
i += 1
}
}
/**
* Timing method based on iterations that permit JVM JIT optimization.
*
* @param numIters number of iterations
* @param f function to be executed. If prepare is not None, the running time of each call to f
* must be an order of magnitude longer than one nanosecond for accurate timing.
* @param prepare function to be executed before each call to f. Its running time doesn't count.
* @return the total time across all iterations (not counting preparation time) in nanoseconds.
*/
def timeIt(numIters: Int)(f: => Unit, prepare: Option[() => Unit] = None): Long = {
if (prepare.isEmpty) {
val startNs = System.nanoTime()
times(numIters)(f)
System.nanoTime() - startNs
} else {
var i = 0
var sum = 0L
while (i < numIters) {
prepare.get.apply()
val startNs = System.nanoTime()
f
sum += System.nanoTime() - startNs
i += 1
}
sum
}
}
/**
* Counts the number of elements of an iterator.
*/
def getIteratorSize(iterator: Iterator[_]): Long = Iterators.size(iterator)
/**
* Generate a zipWithIndex iterator, avoid index value overflowing problem
* in scala's zipWithIndex
*/
def getIteratorZipWithIndex[T](iter: Iterator[T], startIndex: Long): Iterator[(T, Long)] = {
new Iterator[(T, Long)] {
require(startIndex >= 0, "startIndex should be >= 0.")
var index: Long = startIndex - 1L
def hasNext: Boolean = iter.hasNext
def next(): (T, Long) = {
index += 1L
(iter.next(), index)
}
}
}
/**
* Creates a symlink.
*
* @param src absolute path to the source
* @param dst relative path for the destination
*/
def symlink(src: File, dst: File): Unit = {
if (!src.isAbsolute()) {
throw new IOException("Source must be absolute")
}
if (dst.isAbsolute()) {
throw new IOException("Destination must be relative")
}
Files.createSymbolicLink(dst.toPath, src.toPath)
}
/** Return the class name of the given object, removing all dollar signs */
def getFormattedClassName(obj: AnyRef): String = {
getSimpleName(obj.getClass).replace("$", "")
}
/**
* Return a Hadoop FileSystem with the scheme encoded in the given path.
*/
def getHadoopFileSystem(path: URI, conf: Configuration): FileSystem = {
FileSystem.get(path, conf)
}
/**
* Return a Hadoop FileSystem with the scheme encoded in the given path.
*/
def getHadoopFileSystem(path: String, conf: Configuration): FileSystem = {
getHadoopFileSystem(new URI(path), conf)
}
/**
* Whether the underlying operating system is Windows.
*/
val isWindows = SystemUtils.IS_OS_WINDOWS
/**
* Whether the underlying operating system is Mac OS X.
*/
val isMac = SystemUtils.IS_OS_MAC_OSX
/**
* Whether the underlying operating system is Mac OS X and processor is Apple Silicon.
*/
val isMacOnAppleSilicon = SystemUtils.IS_OS_MAC_OSX && SystemUtils.OS_ARCH.equals("aarch64")
/**
* Whether the underlying JVM prefer IPv6 addresses.
*/
val preferIPv6 = "true".equals(System.getProperty("java.net.preferIPv6Addresses"))
/**
* Pattern for matching a Windows drive, which contains only a single alphabet character.
*/
val windowsDrive = "([a-zA-Z])".r
/**
* Indicates whether Spark is currently running unit tests.
*/
def isTesting: Boolean = {
// Scala's `sys.env` creates a ton of garbage by constructing Scala immutable maps, so
// we directly use the Java APIs instead.
System.getenv("SPARK_TESTING") != null || System.getProperty(IS_TESTING.key) != null
}
/**
* Terminates a process waiting for at most the specified duration.
*
* @return the process exit value if it was successfully terminated, else None
*/
def terminateProcess(process: Process, timeoutMs: Long): Option[Int] = {
// Politely destroy first
process.destroy()
if (process.waitFor(timeoutMs, TimeUnit.MILLISECONDS)) {
// Successful exit
Option(process.exitValue())
} else {
try {
process.destroyForcibly()
} catch {
case NonFatal(e) => logWarning("Exception when attempting to kill process", e)
}
// Wait, again, although this really should return almost immediately
if (process.waitFor(timeoutMs, TimeUnit.MILLISECONDS)) {
Option(process.exitValue())
} else {
logWarning("Timed out waiting to forcibly kill process")
None
}
}
}
/**
* Return the stderr of a process after waiting for the process to terminate.
* If the process does not terminate within the specified timeout, return None.
*/
def getStderr(process: Process, timeoutMs: Long): Option[String] = {
val terminated = process.waitFor(timeoutMs, TimeUnit.MILLISECONDS)
if (terminated) {
Some(Source.fromInputStream(process.getErrorStream).getLines().mkString("\n"))
} else {
None
}
}
/**
* Execute the given block, logging and re-throwing any uncaught exception.
* This is particularly useful for wrapping code that runs in a thread, to ensure
* that exceptions are printed, and to avoid having to catch Throwable.
*/
def logUncaughtExceptions[T](f: => T): T = {
try {
f
} catch {
case ct: ControlThrowable =>
throw ct
case t: Throwable =>
logError(s"Uncaught exception in thread ${Thread.currentThread().getName}", t)
throw t
}
}
/** Executes the given block in a Try, logging any uncaught exceptions. */
def tryLog[T](f: => T): Try[T] = {
try {
val res = f
scala.util.Success(res)
} catch {
case ct: ControlThrowable =>
throw ct
case t: Throwable =>
logError(s"Uncaught exception in thread ${Thread.currentThread().getName}", t)
scala.util.Failure(t)
}
}
/** Returns true if the given exception was fatal. See docs for scala.util.control.NonFatal. */
def isFatalError(e: Throwable): Boolean = {
e match {
case NonFatal(_) |
_: InterruptedException |
_: NotImplementedError |
_: ControlThrowable |
_: LinkageError =>
false
case _ =>
true
}
}
/**
* Return a well-formed URI for the file described by a user input string.
*
* If the supplied path does not contain a scheme, or is a relative path, it will be
* converted into an absolute path with a file:// scheme.
*/
def resolveURI(path: String): URI = {
try {
val uri = new URI(path)
if (uri.getScheme() != null) {
return uri
}
// make sure to handle if the path has a fragment (applies to yarn
// distributed cache)
if (uri.getFragment() != null) {
val absoluteURI = new File(uri.getPath()).getAbsoluteFile().toURI()
return new URI(absoluteURI.getScheme(), absoluteURI.getHost(), absoluteURI.getPath(),
uri.getFragment())
}
} catch {
case e: URISyntaxException =>
}
new File(path).getCanonicalFile().toURI()
}
/** Resolve a comma-separated list of paths. */
def resolveURIs(paths: String): String = {
if (paths == null || paths.trim.isEmpty) {
""
} else {
paths.split(",").filter(_.trim.nonEmpty).map { p => Utils.resolveURI(p) }.mkString(",")
}
}
/** Check whether a path is an absolute URI. */
def isAbsoluteURI(path: String): Boolean = {
try {
val uri = new URI(path: String)
uri.isAbsolute
} catch {
case _: URISyntaxException =>
false
}
}
/** Return all non-local paths from a comma-separated list of paths. */
def nonLocalPaths(paths: String, testWindows: Boolean = false): Array[String] = {
val windows = isWindows || testWindows
if (paths == null || paths.trim.isEmpty) {
Array.empty
} else {
paths.split(",").filter { p =>
val uri = resolveURI(p)
Option(uri.getScheme).getOrElse("file") match {
case windowsDrive(d) if windows => false
case "local" | "file" => false
case _ => true
}
}
}
}
/**
* Load default Spark properties from the given file. If no file is provided,
* use the common defaults file. This mutates state in the given SparkConf and
* in this JVM's system properties if the config specified in the file is not
* already set. Return the path of the properties file used.
*/
def loadDefaultSparkProperties(conf: SparkConf, filePath: String = null): String = {
val path = Option(filePath).getOrElse(getDefaultPropertiesFile())
Option(path).foreach { confFile =>
getPropertiesFromFile(confFile).filter { case (k, v) =>
k.startsWith("spark.")
}.foreach { case (k, v) =>
conf.setIfMissing(k, v)
sys.props.getOrElseUpdate(k, v)
}
}
path
}
/**
* Updates Spark config with properties from a set of Properties.
* Provided properties have the highest priority.
*/
def updateSparkConfigFromProperties(
conf: SparkConf,
properties: Map[String, String]) : Unit = {
properties.filter { case (k, v) =>
k.startsWith("spark.")
}.foreach { case (k, v) =>
conf.set(k, v)
}
}
/**
* Implements the same logic as JDK `java.lang.String#trim` by removing leading and trailing
* non-printable characters less or equal to '\u0020' (SPACE) but preserves natural line
* delimiters according to [[java.util.Properties]] load method. The natural line delimiters are
* removed by JDK during load. Therefore any remaining ones have been specifically provided and
* escaped by the user, and must not be ignored
*
* @param str
* @return the trimmed value of str
*/
private[util] def trimExceptCRLF(str: String): String = {
val nonSpaceOrNaturalLineDelimiter: Char => Boolean = { ch =>
ch > ' ' || ch == '\r' || ch == '\n'
}
val firstPos = str.indexWhere(nonSpaceOrNaturalLineDelimiter)
val lastPos = str.lastIndexWhere(nonSpaceOrNaturalLineDelimiter)
if (firstPos >= 0 && lastPos >= 0) {
str.substring(firstPos, lastPos + 1)
} else {
""
}
}
/** Load properties present in the given file. */
def getPropertiesFromFile(filename: String): Map[String, String] = {
val file = new File(filename)
require(file.exists(), s"Properties file $file does not exist")
require(file.isFile(), s"Properties file $file is not a normal file")
val inReader = new InputStreamReader(new FileInputStream(file), StandardCharsets.UTF_8)
try {
val properties = new Properties()
properties.load(inReader)
properties.stringPropertyNames().asScala
.map { k => (k, trimExceptCRLF(properties.getProperty(k))) }
.toMap
} catch {
case e: IOException =>
throw new SparkException(s"Failed when loading Spark properties from $filename", e)
} finally {
inReader.close()
}
}
/** Return the path of the default Spark properties file. */
def getDefaultPropertiesFile(env: Map[String, String] = sys.env): String = {
env.get("SPARK_CONF_DIR")
.orElse(env.get("SPARK_HOME").map { t => s"$t${File.separator}conf" })
.map { t => new File(s"$t${File.separator}spark-defaults.conf")}
.filter(_.isFile)
.map(_.getAbsolutePath)
.orNull
}
/**
* Return a nice string representation of the exception. It will call "printStackTrace" to
* recursively generate the stack trace including the exception and its causes.
*/
def exceptionString(e: Throwable): String = {
if (e == null) {
""
} else {
// Use e.printStackTrace here because e.getStackTrace doesn't include the cause
val stringWriter = new StringWriter()
e.printStackTrace(new PrintWriter(stringWriter))
stringWriter.toString
}
}
private implicit class Lock(lock: LockInfo) {
def lockString: String = {
lock match {
case monitor: MonitorInfo =>
s"Monitor(${lock.getClassName}@${lock.getIdentityHashCode}})"
case _ =>
s"Lock(${lock.getClassName}@${lock.getIdentityHashCode}})"
}
}
}
/** Return a thread dump of all threads' stacktraces. Used to capture dumps for the web UI */
def getThreadDump(): Array[ThreadStackTrace] = {
// We need to filter out null values here because dumpAllThreads() may return null array
// elements for threads that are dead / don't exist.
val threadInfos = ManagementFactory.getThreadMXBean.dumpAllThreads(true, true).filter(_ != null)
threadInfos.sortWith { case (threadTrace1, threadTrace2) =>
val v1 = if (threadTrace1.getThreadName.contains("Executor task launch")) 1 else 0
val v2 = if (threadTrace2.getThreadName.contains("Executor task launch")) 1 else 0
if (v1 == v2) {
val name1 = threadTrace1.getThreadName().toLowerCase(Locale.ROOT)
val name2 = threadTrace2.getThreadName().toLowerCase(Locale.ROOT)
val nameCmpRes = name1.compareTo(name2)
if (nameCmpRes == 0) {
threadTrace1.getThreadId < threadTrace2.getThreadId
} else {
nameCmpRes < 0
}
} else {
v1 > v2
}
}.map(threadInfoToThreadStackTrace)
}
def getThreadDumpForThread(threadId: Long): Option[ThreadStackTrace] = {
if (threadId <= 0) {
None
} else {
// The Int.MaxValue here requests the entire untruncated stack trace of the thread:
val threadInfo =
Option(ManagementFactory.getThreadMXBean.getThreadInfo(threadId, Int.MaxValue))
threadInfo.map(threadInfoToThreadStackTrace)
}
}
private def threadInfoToThreadStackTrace(threadInfo: ThreadInfo): ThreadStackTrace = {
val monitors = threadInfo.getLockedMonitors.map(m => m.getLockedStackFrame -> m).toMap
val stackTrace = StackTrace(threadInfo.getStackTrace.map { frame =>
monitors.get(frame) match {
case Some(monitor) =>
monitor.getLockedStackFrame.toString + s" => holding ${monitor.lockString}"
case None =>
frame.toString
}
})
// use a set to dedup re-entrant locks that are held at multiple places
val heldLocks =
(threadInfo.getLockedSynchronizers ++ threadInfo.getLockedMonitors).map(_.lockString).toSet
ThreadStackTrace(
threadId = threadInfo.getThreadId,
threadName = threadInfo.getThreadName,
threadState = threadInfo.getThreadState,
stackTrace = stackTrace,
blockedByThreadId =
if (threadInfo.getLockOwnerId < 0) None else Some(threadInfo.getLockOwnerId),
blockedByLock = Option(threadInfo.getLockInfo).map(_.lockString).getOrElse(""),
holdingLocks = heldLocks.toSeq)
}
/**
* Convert all spark properties set in the given SparkConf to a sequence of java options.
*/
def sparkJavaOpts(conf: SparkConf, filterKey: (String => Boolean) = _ => true): Seq[String] = {
conf.getAll
.filter { case (k, _) => filterKey(k) }
.map { case (k, v) => s"-D$k=$v" }
}
/**
* Maximum number of retries when binding to a port before giving up.
*/
def portMaxRetries(conf: SparkConf): Int = {
val maxRetries = conf.getOption("spark.port.maxRetries").map(_.toInt)
if (conf.contains(IS_TESTING)) {
// Set a higher number of retries for tests...
maxRetries.getOrElse(100)
} else {
maxRetries.getOrElse(16)
}
}
/**
* Returns the user port to try when trying to bind a service. Handles wrapping and skipping
* privileged ports.
*/
def userPort(base: Int, offset: Int): Int = {
(base + offset - 1024) % (65536 - 1024) + 1024
}
/**
* Attempt to start a service on the given port, or fail after a number of attempts.
* Each subsequent attempt uses 1 + the port used in the previous attempt (unless the port is 0).
*
* @param startPort The initial port to start the service on.
* @param startService Function to start service on a given port.
* This is expected to throw java.net.BindException on port collision.
* @param conf A SparkConf used to get the maximum number of retries when binding to a port.
* @param serviceName Name of the service.
* @return (service: T, port: Int)
*/
def startServiceOnPort[T](
startPort: Int,
startService: Int => (T, Int),
conf: SparkConf,
serviceName: String = ""): (T, Int) = {
require(startPort == 0 || (1024 <= startPort && startPort < 65536),
"startPort should be between 1024 and 65535 (inclusive), or 0 for a random free port.")
val serviceString = if (serviceName.isEmpty) "" else s" '$serviceName'"
val maxRetries = portMaxRetries(conf)
for (offset <- 0 to maxRetries) {
// Do not increment port if startPort is 0, which is treated as a special port
val tryPort = if (startPort == 0) {
startPort
} else {
userPort(startPort, offset)
}
try {
val (service, port) = startService(tryPort)
logInfo(s"Successfully started service$serviceString on port $port.")
return (service, port)
} catch {
case e: Exception if isBindCollision(e) =>
if (offset >= maxRetries) {
val exceptionMessage = if (startPort == 0) {
s"${e.getMessage}: Service$serviceString failed after " +
s"$maxRetries retries (on a random free port)! " +
s"Consider explicitly setting the appropriate binding address for " +
s"the service$serviceString (for example ${DRIVER_BIND_ADDRESS.key} " +
s"for SparkDriver) to the correct binding address."
} else {
s"${e.getMessage}: Service$serviceString failed after " +
s"$maxRetries retries (starting from $startPort)! Consider explicitly setting " +
s"the appropriate port for the service$serviceString (for example spark.ui.port " +
s"for SparkUI) to an available port or increasing spark.port.maxRetries."
}
val exception = new BindException(exceptionMessage)
// restore original stack trace
exception.setStackTrace(e.getStackTrace)
throw exception
}
if (startPort == 0) {
// As startPort 0 is for a random free port, it is most possibly binding address is
// not correct.
logWarning(s"Service$serviceString could not bind on a random free port. " +
"You may check whether configuring an appropriate binding address.")
} else {
logWarning(s"Service$serviceString could not bind on port $tryPort. " +
s"Attempting port ${tryPort + 1}.")
}
}
}
// Should never happen
throw new SparkException(s"Failed to start service$serviceString on port $startPort")
}
/**
* Return whether the exception is caused by an address-port collision when binding.
*/
def isBindCollision(exception: Throwable): Boolean = {
exception match {
case e: BindException =>
if (e.getMessage != null) {
return true
}
isBindCollision(e.getCause)
case e: MultiException =>
e.getThrowables.asScala.exists(isBindCollision)
case e: NativeIoException =>
(e.getMessage != null && e.getMessage.startsWith("bind() failed: ")) ||
isBindCollision(e.getCause)
case e: Exception => isBindCollision(e.getCause)
case _ => false
}
}
/**
* configure a new log4j level
*/
def setLogLevel(l: Level): Unit = {
val ctx = LogManager.getContext(false).asInstanceOf[LoggerContext]
val config = ctx.getConfiguration()
val loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME)
loggerConfig.setLevel(l)
ctx.updateLoggers()
// Setting threshold to null as rootLevel will define log level for spark-shell
Logging.sparkShellThresholdLevel = null
}
/**
* Return the current system LD_LIBRARY_PATH name
*/
def libraryPathEnvName: String = {
if (isWindows) {
"PATH"
} else if (isMac) {
"DYLD_LIBRARY_PATH"
} else {
"LD_LIBRARY_PATH"
}
}
/**
* Return the prefix of a command that appends the given library paths to the
* system-specific library path environment variable. On Unix, for instance,
* this returns the string LD_LIBRARY_PATH="path1:path2:$LD_LIBRARY_PATH".
*/
def libraryPathEnvPrefix(libraryPaths: Seq[String]): String = {
val libraryPathScriptVar = if (isWindows) {
s"%${libraryPathEnvName}%"
} else {
"$" + libraryPathEnvName
}
val libraryPath = (libraryPaths :+ libraryPathScriptVar).mkString("\"",
File.pathSeparator, "\"")
val ampersand = if (Utils.isWindows) {
" &"
} else {
""
}
s"$libraryPathEnvName=$libraryPath$ampersand"
}
/**
* Return the value of a config either through the SparkConf or the Hadoop configuration.
* We Check whether the key is set in the SparkConf before look at any Hadoop configuration.
* If the key is set in SparkConf, no matter whether it is running on YARN or not,
* gets the value from SparkConf.
* Only when the key is not set in SparkConf and running on YARN,
* gets the value from Hadoop configuration.
*/
def getSparkOrYarnConfig(conf: SparkConf, key: String, default: String): String = {
if (conf.contains(key)) {
conf.get(key, default)
} else if (conf.get(SparkLauncher.SPARK_MASTER, null) == "yarn") {
new YarnConfiguration(SparkHadoopUtil.get.newConfiguration(conf)).get(key, default)
} else {
default
}
}
/**
* Return a pair of host and port extracted from the `sparkUrl`.
*
* A spark url (`spark://host:port`) is a special URI that its scheme is `spark` and only contains
* host and port.
*
* @throws org.apache.spark.SparkException if sparkUrl is invalid.
*/
@throws(classOf[SparkException])
def extractHostPortFromSparkUrl(sparkUrl: String): (String, Int) = {
try {
val uri = new java.net.URI(sparkUrl)
val host = uri.getHost
val port = uri.getPort
if (uri.getScheme != "spark" ||
host == null ||
port < 0 ||
(uri.getPath != null && !uri.getPath.isEmpty) || // uri.getPath returns "" instead of null
uri.getFragment != null ||
uri.getQuery != null ||
uri.getUserInfo != null) {
throw new SparkException("Invalid master URL: " + sparkUrl)
}
(host, port)
} catch {
case e: java.net.URISyntaxException =>
throw new SparkException("Invalid master URL: " + sparkUrl, e)
}
}
/**
* Returns the current user name. This is the currently logged in user, unless that's been
* overridden by the `SPARK_USER` environment variable.
*/
def getCurrentUserName(): String = {
Option(System.getenv("SPARK_USER"))
.getOrElse(UserGroupInformation.getCurrentUser().getShortUserName())
}
val EMPTY_USER_GROUPS = Set.empty[String]
// Returns the groups to which the current user belongs.
def getCurrentUserGroups(sparkConf: SparkConf, username: String): Set[String] = {
val groupProviderClassName = sparkConf.get(USER_GROUPS_MAPPING)
if (groupProviderClassName != "") {
try {
val groupMappingServiceProvider = classForName(groupProviderClassName).
getConstructor().newInstance().
asInstanceOf[org.apache.spark.security.GroupMappingServiceProvider]
val currentUserGroups = groupMappingServiceProvider.getGroups(username)
return currentUserGroups
} catch {
case e: Exception => logError(s"Error getting groups for user=$username", e)
}
}
EMPTY_USER_GROUPS
}
/**
* Split the comma delimited string of master URLs into a list.
* For instance, "spark://abc,def" becomes [spark://abc, spark://def].
*/
def parseStandaloneMasterUrls(masterUrls: String): Array[String] = {
masterUrls.stripPrefix("spark://").split(",").map("spark://" + _)
}
/** An identifier that backup masters use in their responses. */
val BACKUP_STANDALONE_MASTER_PREFIX = "Current state is not alive"
/** Return true if the response message is sent from a backup Master on standby. */
def responseFromBackup(msg: String): Boolean = {
msg.startsWith(BACKUP_STANDALONE_MASTER_PREFIX)
}
/**
* To avoid calling `Utils.getCallSite` for every single RDD we create in the body,
* set a dummy call site that RDDs use instead. This is for performance optimization.
*/
def withDummyCallSite[T](sc: SparkContext)(body: => T): T = {
val oldShortCallSite = sc.getLocalProperty(CallSite.SHORT_FORM)
val oldLongCallSite = sc.getLocalProperty(CallSite.LONG_FORM)
try {
sc.setLocalProperty(CallSite.SHORT_FORM, "")
sc.setLocalProperty(CallSite.LONG_FORM, "")
body
} finally {
// Restore the old ones here
sc.setLocalProperty(CallSite.SHORT_FORM, oldShortCallSite)
sc.setLocalProperty(CallSite.LONG_FORM, oldLongCallSite)
}
}
/**
* Return whether the specified file is a parent directory of the child file.
*/
@tailrec
def isInDirectory(parent: File, child: File): Boolean = {
if (child == null || parent == null) {
return false
}
if (!child.exists() || !parent.exists() || !parent.isDirectory()) {
return false
}
if (parent.equals(child)) {
return true
}
isInDirectory(parent, child.getParentFile)
}
/**
*
* @return whether it is local mode
*/
def isLocalMaster(conf: SparkConf): Boolean = {
val master = conf.get("spark.master", "")
master == "local" || master.startsWith("local[")
}
/**
* Push based shuffle can only be enabled when below conditions are met:
* - the application is submitted to run in YARN mode
* - external shuffle service enabled
* - IO encryption disabled
* - serializer(such as KryoSerializer) supports relocation of serialized objects
*/
def isPushBasedShuffleEnabled(conf: SparkConf,
isDriver: Boolean,
checkSerializer: Boolean = true): Boolean = {
val pushBasedShuffleEnabled = conf.get(PUSH_BASED_SHUFFLE_ENABLED)
if (pushBasedShuffleEnabled) {
val canDoPushBasedShuffle = {
val isTesting = conf.get(IS_TESTING).getOrElse(false)
val isShuffleServiceAndYarn = conf.get(SHUFFLE_SERVICE_ENABLED) &&
conf.get(SparkLauncher.SPARK_MASTER, null) == "yarn"
lazy val serializerIsSupported = {
if (checkSerializer) {
Option(SparkEnv.get)
.map(_.serializer)
.filter(_ != null)
.getOrElse(instantiateSerializerFromConf[Serializer](SERIALIZER, conf, isDriver))
.supportsRelocationOfSerializedObjects
} else {
// if no need to check Serializer, always set serializerIsSupported as true
true
}
}
// TODO: [SPARK-36744] needs to support IO encryption for push-based shuffle
val ioEncryptionDisabled = !conf.get(IO_ENCRYPTION_ENABLED)
(isShuffleServiceAndYarn || isTesting) && ioEncryptionDisabled && serializerIsSupported
}
if (!canDoPushBasedShuffle) {
logWarning("Push-based shuffle can only be enabled when the application is submitted " +
"to run in YARN mode, with external shuffle service enabled, IO encryption disabled, " +
"and relocation of serialized objects supported.")
}
canDoPushBasedShuffle
} else {
false
}
}
// Create an instance of Serializer or ShuffleManager with the given name,
// possibly initializing it with our conf
def instantiateSerializerOrShuffleManager[T](className: String,
conf: SparkConf,
isDriver: Boolean): T = {
val cls = Utils.classForName(className)
// Look for a constructor taking a SparkConf and a boolean isDriver, then one taking just
// SparkConf, then one taking no arguments
try {
cls.getConstructor(classOf[SparkConf], java.lang.Boolean.TYPE)
.newInstance(conf, java.lang.Boolean.valueOf(isDriver))
.asInstanceOf[T]
} catch {
case _: NoSuchMethodException =>
try {
cls.getConstructor(classOf[SparkConf]).newInstance(conf).asInstanceOf[T]
} catch {
case _: NoSuchMethodException =>
cls.getConstructor().newInstance().asInstanceOf[T]
}
}
}
// Create an instance of Serializer named by the given SparkConf property
// if the property is not set, possibly initializing it with our conf
def instantiateSerializerFromConf[T](propertyName: ConfigEntry[String],
conf: SparkConf,
isDriver: Boolean): T = {
instantiateSerializerOrShuffleManager[T](
conf.get(propertyName), conf, isDriver)
}
/**
* Return whether dynamic allocation is enabled in the given conf.
*/
def isDynamicAllocationEnabled(conf: SparkConf): Boolean = {
val dynamicAllocationEnabled = conf.get(DYN_ALLOCATION_ENABLED)
dynamicAllocationEnabled &&
(!isLocalMaster(conf) || conf.get(DYN_ALLOCATION_TESTING))
}
def isStreamingDynamicAllocationEnabled(conf: SparkConf): Boolean = {
val streamingDynamicAllocationEnabled = conf.get(STREAMING_DYN_ALLOCATION_ENABLED)
streamingDynamicAllocationEnabled &&
(!isLocalMaster(conf) || conf.get(STREAMING_DYN_ALLOCATION_TESTING))
}
/**
* Return the initial number of executors for dynamic allocation.
*/
def getDynamicAllocationInitialExecutors(conf: SparkConf): Int = {
if (conf.get(DYN_ALLOCATION_INITIAL_EXECUTORS) < conf.get(DYN_ALLOCATION_MIN_EXECUTORS)) {
logWarning(s"${DYN_ALLOCATION_INITIAL_EXECUTORS.key} less than " +
s"${DYN_ALLOCATION_MIN_EXECUTORS.key} is invalid, ignoring its setting, " +
"please update your configs.")
}
if (conf.get(EXECUTOR_INSTANCES).getOrElse(0) < conf.get(DYN_ALLOCATION_MIN_EXECUTORS)) {
logWarning(s"${EXECUTOR_INSTANCES.key} less than " +
s"${DYN_ALLOCATION_MIN_EXECUTORS.key} is invalid, ignoring its setting, " +
"please update your configs.")
}
val initialExecutors = Seq(
conf.get(DYN_ALLOCATION_MIN_EXECUTORS),
conf.get(DYN_ALLOCATION_INITIAL_EXECUTORS),
conf.get(EXECUTOR_INSTANCES).getOrElse(0)).max
logInfo(s"Using initial executors = $initialExecutors, max of " +
s"${DYN_ALLOCATION_INITIAL_EXECUTORS.key}, ${DYN_ALLOCATION_MIN_EXECUTORS.key} and " +
s"${EXECUTOR_INSTANCES.key}")
initialExecutors
}
def tryWithResource[R <: Closeable, T](createResource: => R)(f: R => T): T = {
val resource = createResource
try f.apply(resource) finally resource.close()
}
/**
* Returns a path of temporary file which is in the same directory with `path`.
*/
def tempFileWith(path: File): File = {
new File(path.getAbsolutePath + "." + UUID.randomUUID())
}
/**
* Returns the name of this JVM process. This is OS dependent but typically (OSX, Linux, Windows),
* this is formatted as PID@hostname.
*/
def getProcessName(): String = {
ManagementFactory.getRuntimeMXBean().getName()
}
/**
* Utility function that should be called early in `main()` for daemons to set up some common
* diagnostic state.
*/
def initDaemon(log: Logger): Unit = {
log.info(s"Started daemon with process name: ${Utils.getProcessName()}")
SignalUtils.registerLogger(log)
}
/**
* Return the jar files pointed by the "spark.jars" property. Spark internally will distribute
* these jars through file server. In the YARN mode, it will return an empty list, since YARN
* has its own mechanism to distribute jars.
*/
def getUserJars(conf: SparkConf): Seq[String] = {
conf.get(JARS).filter(_.nonEmpty)
}
/**
* Return the local jar files which will be added to REPL's classpath. These jar files are
* specified by --jars (spark.jars) or --packages, remote jars will be downloaded to local by
* SparkSubmit at first.
*/
def getLocalUserJarsForShell(conf: SparkConf): Seq[String] = {
val localJars = conf.getOption("spark.repl.local.jars")
localJars.map(_.split(",")).map(_.filter(_.nonEmpty)).toSeq.flatten
}
private[spark] val REDACTION_REPLACEMENT_TEXT = "*********(redacted)"
/**
* Redact the sensitive values in the given map. If a map key matches the redaction pattern then
* its value is replaced with a dummy text.
*/
def redact(conf: SparkConf, kvs: Seq[(String, String)]): Seq[(String, String)] = {
val redactionPattern = conf.get(SECRET_REDACTION_PATTERN)
redact(redactionPattern, kvs)
}
/**
* Redact the sensitive values in the given map. If a map key matches the redaction pattern then
* its value is replaced with a dummy text.
*/
def redact[K, V](regex: Option[Regex], kvs: Seq[(K, V)]): Seq[(K, V)] = {
regex match {
case None => kvs
case Some(r) => redact(r, kvs)
}
}
/**
* Redact the sensitive information in the given string.
*/
def redact(regex: Option[Regex], text: String): String = {
regex match {
case None => text
case Some(r) =>
if (text == null || text.isEmpty) {
text
} else {
r.replaceAllIn(text, REDACTION_REPLACEMENT_TEXT)
}
}
}
private def redact[K, V](redactionPattern: Regex, kvs: Seq[(K, V)]): Seq[(K, V)] = {
// If the sensitive information regex matches with either the key or the value, redact the value
// While the original intent was to only redact the value if the key matched with the regex,
// we've found that especially in verbose mode, the value of the property may contain sensitive
// information like so:
// "sun.java.command":"org.apache.spark.deploy.SparkSubmit ... \
// --conf spark.executorEnv.HADOOP_CREDSTORE_PASSWORD=secret_password ...
//
// And, in such cases, simply searching for the sensitive information regex in the key name is
// not sufficient. The values themselves have to be searched as well and redacted if matched.
// This does mean we may be accounting more false positives - for example, if the value of an
// arbitrary property contained the term 'password', we may redact the value from the UI and
// logs. In order to work around it, user would have to make the spark.redaction.regex property
// more specific.
kvs.map {
case (key: String, value: String) =>
redactionPattern.findFirstIn(key)
.orElse(redactionPattern.findFirstIn(value))
.map { _ => (key, REDACTION_REPLACEMENT_TEXT) }
.getOrElse((key, value))
case (key, value: String) =>
redactionPattern.findFirstIn(value)
.map { _ => (key, REDACTION_REPLACEMENT_TEXT) }
.getOrElse((key, value))
case (key, value) =>
(key, value)
}.asInstanceOf[Seq[(K, V)]]
}
/**
* Looks up the redaction regex from within the key value pairs and uses it to redact the rest
* of the key value pairs. No care is taken to make sure the redaction property itself is not
* redacted. So theoretically, the property itself could be configured to redact its own value
* when printing.
*/
def redact(kvs: Map[String, String]): Seq[(String, String)] = {
val redactionPattern = kvs.getOrElse(
SECRET_REDACTION_PATTERN.key,
SECRET_REDACTION_PATTERN.defaultValueString
).r
redact(redactionPattern, kvs.toArray)
}
def redactCommandLineArgs(conf: SparkConf, commands: Seq[String]): Seq[String] = {
val redactionPattern = conf.get(SECRET_REDACTION_PATTERN)
commands.map {
case PATTERN_FOR_COMMAND_LINE_ARG(key, value) =>
val (_, newValue) = redact(redactionPattern, Seq((key, value))).head
s"-D$key=$newValue"
case cmd => cmd
}
}
def stringToSeq(str: String): Seq[String] = {
str.split(",").map(_.trim()).filter(_.nonEmpty)
}
/**
* Create instances of extension classes.
*
* The classes in the given list must:
* - Be sub-classes of the given base class.
* - Provide either a no-arg constructor, or a 1-arg constructor that takes a SparkConf.
*
* The constructors are allowed to throw "UnsupportedOperationException" if the extension does not
* want to be registered; this allows the implementations to check the Spark configuration (or
* other state) and decide they do not need to be added. A log message is printed in that case.
* Other exceptions are bubbled up.
*/
def loadExtensions[T <: AnyRef](
extClass: Class[T], classes: Seq[String], conf: SparkConf): Seq[T] = {
classes.flatMap { name =>
try {
val klass = classForName[T](name)
require(extClass.isAssignableFrom(klass),
s"$name is not a subclass of ${extClass.getName()}.")
val ext = Try(klass.getConstructor(classOf[SparkConf])) match {
case Success(ctor) =>
ctor.newInstance(conf)
case Failure(_) =>
klass.getConstructor().newInstance()
}
Some(ext)
} catch {
case _: NoSuchMethodException =>
throw new SparkException(
s"$name did not have a zero-argument constructor or a" +
" single-argument constructor that accepts SparkConf. Note: if the class is" +
" defined inside of another Scala class, then its constructors may accept an" +
" implicit parameter that references the enclosing class; in this case, you must" +
" define the class as a top-level class in order to prevent this extra" +
" parameter from breaking Spark's ability to find a valid constructor.")
case e: InvocationTargetException =>
e.getCause() match {
case uoe: UnsupportedOperationException =>
logDebug(s"Extension $name not being initialized.", uoe)
logInfo(s"Extension $name not being initialized.")
None
case null => throw e
case cause => throw cause
}
}
}
}
/**
* Check the validity of the given Kubernetes master URL and return the resolved URL. Prefix
* "k8s://" is appended to the resolved URL as the prefix is used by KubernetesClusterManager
* in canCreate to determine if the KubernetesClusterManager should be used.
*/
def checkAndGetK8sMasterUrl(rawMasterURL: String): String = {
require(rawMasterURL.startsWith("k8s://"),
"Kubernetes master URL must start with k8s://.")
val masterWithoutK8sPrefix = rawMasterURL.substring("k8s://".length)
// To handle master URLs, e.g., k8s://host:port.
if (!masterWithoutK8sPrefix.contains("://")) {
val resolvedURL = s"https://$masterWithoutK8sPrefix"
logInfo("No scheme specified for kubernetes master URL, so defaulting to https. Resolved " +
s"URL is $resolvedURL.")
return s"k8s://$resolvedURL"
}
val masterScheme = new URI(masterWithoutK8sPrefix).getScheme
val resolvedURL = Option(masterScheme).map(_.toLowerCase(Locale.ROOT)) match {
case Some("https") =>
masterWithoutK8sPrefix
case Some("http") =>
logWarning("Kubernetes master URL uses HTTP instead of HTTPS.")
masterWithoutK8sPrefix
case _ =>
throw new IllegalArgumentException("Invalid Kubernetes master scheme: " + masterScheme
+ " found in URL: " + masterWithoutK8sPrefix)
}
s"k8s://$resolvedURL"
}
/**
* Replaces all the {{EXECUTOR_ID}} occurrences with the Executor Id
* and {{APP_ID}} occurrences with the App Id.
*/
def substituteAppNExecIds(opt: String, appId: String, execId: String): String = {
opt.replace("{{APP_ID}}", appId).replace("{{EXECUTOR_ID}}", execId)
}
/**
* Replaces all the {{APP_ID}} occurrences with the App Id.
*/
def substituteAppId(opt: String, appId: String): String = {
opt.replace("{{APP_ID}}", appId)
}
def createSecret(conf: SparkConf): String = {
val bits = conf.get(AUTH_SECRET_BIT_LENGTH)
val rnd = new SecureRandom()
val secretBytes = new Array[Byte](bits / JByte.SIZE)
rnd.nextBytes(secretBytes)
Hex.encodeHexString(secretBytes)
}
/**
* Returns true if and only if the underlying class is a member class.
*
* Note: jdk8u throws a "Malformed class name" error if a given class is a deeply-nested
* inner class (See SPARK-34607 for details). This issue has already been fixed in jdk9+, so
* we can remove this helper method safely if we drop the support of jdk8u.
*/
def isMemberClass(cls: Class[_]): Boolean = {
try {
cls.isMemberClass
} catch {
case _: InternalError =>
// We emulate jdk8u `Class.isMemberClass` below:
// public boolean isMemberClass() {
// return getSimpleBinaryName() != null && !isLocalOrAnonymousClass();
// }
// `getSimpleBinaryName()` returns null if a given class is a top-level class,
// so we replace it with `cls.getEnclosingClass != null`. The second condition checks
// if a given class is not a local or an anonymous class, so we replace it with
// `cls.getEnclosingMethod == null` because `cls.getEnclosingMethod()` return a value
// only in either case (JVM Spec 4.8.6).
//
// Note: The newer jdk evaluates `!isLocalOrAnonymousClass()` first,
// we reorder the conditions to follow it.
cls.getEnclosingMethod == null && cls.getEnclosingClass != null
}
}
/**
* Safer than Class obj's getSimpleName which may throw Malformed class name error in scala.
* This method mimics scalatest's getSimpleNameOfAnObjectsClass.
*/
def getSimpleName(cls: Class[_]): String = {
try {
cls.getSimpleName
} catch {
// TODO: the value returned here isn't even quite right; it returns simple names
// like UtilsSuite$MalformedClassObject$MalformedClass instead of MalformedClass
// The exact value may not matter much as it's used in log statements
case _: InternalError =>
stripDollars(stripPackages(cls.getName))
}
}
/**
* Remove the packages from full qualified class name
*/
private def stripPackages(fullyQualifiedName: String): String = {
fullyQualifiedName.split("\\.").takeRight(1)(0)
}
/**
* Remove trailing dollar signs from qualified class name,
* and return the trailing part after the last dollar sign in the middle
*/
@scala.annotation.tailrec
def stripDollars(s: String): String = {
val lastDollarIndex = s.lastIndexOf('$')
if (lastDollarIndex < s.length - 1) {
// The last char is not a dollar sign
if (lastDollarIndex == -1 || !s.contains("$iw")) {
// The name does not have dollar sign or is not an interpreter
// generated class, so we should return the full string
s
} else {
// The class name is interpreter generated,
// return the part after the last dollar sign
// This is the same behavior as getClass.getSimpleName
s.substring(lastDollarIndex + 1)
}
}
else {
// The last char is a dollar sign
// Find last non-dollar char
val lastNonDollarChar = s.reverse.find(_ != '$')
lastNonDollarChar match {
case None => s
case Some(c) =>
val lastNonDollarIndex = s.lastIndexOf(c)
if (lastNonDollarIndex == -1) {
s
} else {
// Strip the trailing dollar signs
// Invoke stripDollars again to get the simple name
stripDollars(s.substring(0, lastNonDollarIndex + 1))
}
}
}
}
/**
* Regular expression matching full width characters.
*
* Looked at all the 0x0000-0xFFFF characters (unicode) and showed them under Xshell.
* Found all the full width characters, then get the regular expression.
*/
private val fullWidthRegex = ("""[""" +
// scalastyle:off nonascii
"\u1100-\u115F" +
"\u2E80-\uA4CF" +
"\uAC00-\uD7A3" +
"\uF900-\uFAFF" +
"\uFE10-\uFE19" +
"\uFE30-\uFE6F" +
"\uFF00-\uFF60" +
"\uFFE0-\uFFE6" +
// scalastyle:on nonascii
"""]""").r
/**
* Return the number of half widths in a given string. Note that a full width character
* occupies two half widths.
*
* For a string consisting of 1 million characters, the execution of this method requires
* about 50ms.
*/
def stringHalfWidth(str: String): Int = {
if (str == null) 0 else str.length + fullWidthRegex.findAllIn(str).size
}
def sanitizeDirName(str: String): String = {
str.replaceAll("[ :/]", "-").replaceAll("[.${}'\"]", "_").toLowerCase(Locale.ROOT)
}
def isClientMode(conf: SparkConf): Boolean = {
"client".equals(conf.get(SparkLauncher.DEPLOY_MODE, "client"))
}
/** Returns whether the URI is a "local:" URI. */
def isLocalUri(uri: String): Boolean = {
uri.startsWith(s"$LOCAL_SCHEME:")
}
/** Check whether the file of the path is splittable. */
def isFileSplittable(path: Path, codecFactory: CompressionCodecFactory): Boolean = {
val codec = codecFactory.getCodec(path)
codec == null || codec.isInstanceOf[SplittableCompressionCodec]
}
/** Create a new properties object with the same values as `props` */
def cloneProperties(props: Properties): Properties = {
if (props == null) {
return props
}
val resultProps = new Properties()
props.forEach((k, v) => resultProps.put(k, v))
resultProps
}
/**
* Convert a sequence of `Path`s to a metadata string. When the length of metadata string
* exceeds `stopAppendingThreshold`, stop appending paths for saving memory.
*/
def buildLocationMetadata(paths: Seq[Path], stopAppendingThreshold: Int): String = {
val metadata = new StringBuilder(s"(${paths.length} paths)[")
var index: Int = 0
while (index < paths.length && metadata.length < stopAppendingThreshold) {
if (index > 0) {
metadata.append(", ")
}
metadata.append(paths(index).toString)
index += 1
}
if (paths.length > index) {
if (index > 0) {
metadata.append(", ")
}
metadata.append("...")
}
metadata.append("]")
metadata.toString
}
/**
* Convert MEMORY_OFFHEAP_SIZE to MB Unit, return 0 if MEMORY_OFFHEAP_ENABLED is false.
*/
def executorOffHeapMemorySizeAsMb(sparkConf: SparkConf): Int = {
val sizeInMB = Utils.memoryStringToMb(sparkConf.get(MEMORY_OFFHEAP_SIZE).toString)
checkOffHeapEnabled(sparkConf, sizeInMB).toInt
}
/**
* return 0 if MEMORY_OFFHEAP_ENABLED is false.
*/
def checkOffHeapEnabled(sparkConf: SparkConf, offHeapSize: Long): Long = {
if (sparkConf.get(MEMORY_OFFHEAP_ENABLED)) {
require(offHeapSize > 0,
s"${MEMORY_OFFHEAP_SIZE.key} must be > 0 when ${MEMORY_OFFHEAP_ENABLED.key} == true")
offHeapSize
} else {
0
}
}
/** Returns a string message about delegation token generation failure */
def createFailedToGetTokenMessage(serviceName: String, e: scala.Throwable): String = {
val message = "Failed to get token from service %s due to %s. " +
"If %s is not used, set spark.security.credentials.%s.enabled to false."
message.format(serviceName, e, serviceName, serviceName)
}
/**
* Decompress a zip file into a local dir. File names are read from the zip file. Note, we skip
* addressing the directory here. Also, we rely on the caller side to address any exceptions.
*/
def unzipFilesFromFile(fs: FileSystem, dfsZipFile: Path, localDir: File): Seq[File] = {
val files = new ArrayBuffer[File]()
val in = new ZipInputStream(fs.open(dfsZipFile))
var out: OutputStream = null
try {
var entry = in.getNextEntry()
while (entry != null) {
if (!entry.isDirectory) {
val fileName = localDir.toPath.resolve(entry.getName).getFileName.toString
val outFile = new File(localDir, fileName)
files += outFile
out = new FileOutputStream(outFile)
IOUtils.copy(in, out)
out.close()
in.closeEntry()
}
entry = in.getNextEntry()
}
in.close() // so that any error in closing does not get ignored
logInfo(s"Unzipped from $dfsZipFile\n\t${files.mkString("\n\t")}")
} finally {
// Close everything no matter what happened
IOUtils.closeQuietly(in)
IOUtils.closeQuietly(out)
}
files.toSeq
}
/**
* Return the median number of a long array
*
* @param sizes
* @param alreadySorted
* @return
*/
def median(sizes: Array[Long], alreadySorted: Boolean): Long = {
val len = sizes.length
val sortedSize = if (alreadySorted) sizes else sizes.sorted
len match {
case _ if (len % 2 == 0) =>
math.max((sortedSize(len / 2) + sortedSize(len / 2 - 1)) / 2, 1)
case _ => math.max(sortedSize(len / 2), 1)
}
}
}
private[util] object CallerContext extends Logging {
val callerContextSupported: Boolean = {
SparkHadoopUtil.get.conf.getBoolean("hadoop.caller.context.enabled", false) && {
try {
Utils.classForName("org.apache.hadoop.ipc.CallerContext")
Utils.classForName("org.apache.hadoop.ipc.CallerContext$Builder")
true
} catch {
case _: ClassNotFoundException =>
false
case NonFatal(e) =>
logWarning("Fail to load the CallerContext class", e)
false
}
}
}
}
/**
* An utility class used to set up Spark caller contexts to HDFS and Yarn. The `context` will be
* constructed by parameters passed in.
* When Spark applications run on Yarn and HDFS, its caller contexts will be written into Yarn RM
* audit log and hdfs-audit.log. That can help users to better diagnose and understand how
* specific applications impacting parts of the Hadoop system and potential problems they may be
* creating (e.g. overloading NN). As HDFS mentioned in HDFS-9184, for a given HDFS operation, it's
* very helpful to track which upper level job issues it.
*
* @param from who sets up the caller context (TASK, CLIENT, APPMASTER)
*
* The parameters below are optional:
* @param upstreamCallerContext caller context the upstream application passes in
* @param appId id of the app this task belongs to
* @param appAttemptId attempt id of the app this task belongs to
* @param jobId id of the job this task belongs to
* @param stageId id of the stage this task belongs to
* @param stageAttemptId attempt id of the stage this task belongs to
* @param taskId task id
* @param taskAttemptNumber task attempt id
*/
private[spark] class CallerContext(
from: String,
upstreamCallerContext: Option[String] = None,
appId: Option[String] = None,
appAttemptId: Option[String] = None,
jobId: Option[Int] = None,
stageId: Option[Int] = None,
stageAttemptId: Option[Int] = None,
taskId: Option[Long] = None,
taskAttemptNumber: Option[Int] = None) extends Logging {
private val context = prepareContext("SPARK_" +
from +
appId.map("_" + _).getOrElse("") +
appAttemptId.map("_" + _).getOrElse("") +
jobId.map("_JId_" + _).getOrElse("") +
stageId.map("_SId_" + _).getOrElse("") +
stageAttemptId.map("_" + _).getOrElse("") +
taskId.map("_TId_" + _).getOrElse("") +
taskAttemptNumber.map("_" + _).getOrElse("") +
upstreamCallerContext.map("_" + _).getOrElse(""))
private def prepareContext(context: String): String = {
// The default max size of Hadoop caller context is 128
lazy val len = SparkHadoopUtil.get.conf.getInt("hadoop.caller.context.max.size", 128)
if (context == null || context.length <= len) {
context
} else {
val finalContext = context.substring(0, len)
logWarning(s"Truncated Spark caller context from $context to $finalContext")
finalContext
}
}
/**
* Set up the caller context [[context]] by invoking Hadoop CallerContext API of
* [[org.apache.hadoop.ipc.CallerContext]], which was added in hadoop 2.8.
*/
def setCurrentContext(): Unit = {
if (CallerContext.callerContextSupported) {
try {
val callerContext = Utils.classForName("org.apache.hadoop.ipc.CallerContext")
val builder: Class[AnyRef] =
Utils.classForName("org.apache.hadoop.ipc.CallerContext$Builder")
val builderInst = builder.getConstructor(classOf[String]).newInstance(context)
val hdfsContext = builder.getMethod("build").invoke(builderInst)
callerContext.getMethod("setCurrent", callerContext).invoke(null, hdfsContext)
} catch {
case NonFatal(e) =>
logWarning("Fail to set Spark caller context", e)
}
}
}
}
/**
* A utility class to redirect the child process's stdout or stderr.
*/
private[spark] class RedirectThread(
in: InputStream,
out: OutputStream,
name: String,
propagateEof: Boolean = false)
extends Thread(name) {
setDaemon(true)
override def run(): Unit = {
scala.util.control.Exception.ignoring(classOf[IOException]) {
// FIXME: We copy the stream on the level of bytes to avoid encoding problems.
Utils.tryWithSafeFinally {
val buf = new Array[Byte](1024)
var len = in.read(buf)
while (len != -1) {
out.write(buf, 0, len)
out.flush()
len = in.read(buf)
}
} {
if (propagateEof) {
out.close()
}
}
}
}
}
/**
* An [[OutputStream]] that will store the last 10 kilobytes (by default) written to it
* in a circular buffer. The current contents of the buffer can be accessed using
* the toString method.
*/
private[spark] class CircularBuffer(sizeInBytes: Int = 10240) extends java.io.OutputStream {
private var pos: Int = 0
private var isBufferFull = false
private val buffer = new Array[Byte](sizeInBytes)
def write(input: Int): Unit = {
buffer(pos) = input.toByte
pos = (pos + 1) % buffer.length
isBufferFull = isBufferFull || (pos == 0)
}
override def toString: String = {
if (!isBufferFull) {
return new String(buffer, 0, pos, StandardCharsets.UTF_8)
}
val nonCircularBuffer = new Array[Byte](sizeInBytes)
System.arraycopy(buffer, pos, nonCircularBuffer, 0, buffer.length - pos)
System.arraycopy(buffer, 0, nonCircularBuffer, buffer.length - pos, pos)
new String(nonCircularBuffer, StandardCharsets.UTF_8)
}
}
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