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...al/zinc-persist/src/main/scala/sbt/internal/inc/consistent/ParallelGzipOutputStream.scala
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// Original code by Stefan Zeiger (see https://github.com/szeiger/zinc/blob/1d296b2fbeaae1cf14e4c00db0bbc2203f9783a4/internal/zinc-persist/src/main/scala/sbt/internal/inc/consistent/NewParallelGzipOutputStream.scala) | ||
// Modified by Rex Kerr to use Java threads directly rather than Future | ||
package sbt.internal.inc.consistent | ||
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import java.io.{ ByteArrayOutputStream, FilterOutputStream, OutputStream } | ||
import java.util.zip.{ CRC32, Deflater, DeflaterOutputStream } | ||
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import java.util.concurrent.{ SynchronousQueue, ArrayBlockingQueue, LinkedTransferQueue } | ||
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import scala.annotation.tailrec | ||
import scala.concurrent.duration.Duration | ||
import scala.concurrent.{ Await, ExecutionContext, Future } | ||
import scala.collection.mutable | ||
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/** | ||
* Parallel gzip compression. Algorithm based on https://github.com/shevek/parallelgzip | ||
* with additional optimization and simplification. This is essentially a block-buffered | ||
* stream but instead of writing a full block to the underlying output, it is passed to a | ||
* thread pool for compression and the Futures of compressed blocks are collected when | ||
* flushing. | ||
* thread pool for compression and the compressed blocks are collected when flushing. | ||
*/ | ||
object ParallelGzipOutputStream { | ||
private val blockSize = 64 * 1024 | ||
private val compression = Deflater.DEFAULT_COMPRESSION | ||
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private class BufOut(size: Int) extends ByteArrayOutputStream(size) { | ||
def writeTo(buf: Array[Byte]): Unit = System.arraycopy(this.buf, 0, buf, 0, count) | ||
// Holds an input buffer to load data and an output buffer to write | ||
// the compressed data into. Compressing clears the input buffer. | ||
// Compressed data can be retrieved with `output.writeTo(OutputStream)`. | ||
private final class Block(var index: Int) { | ||
val input = new Array[Byte](blockSize) | ||
var inputN = 0 | ||
val output = new ByteArrayOutputStream(blockSize + (blockSize >> 3)) | ||
val deflater = new Deflater(compression, true) | ||
val dos = new DeflaterOutputStream(output, deflater, true) | ||
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def compress(): Unit = { | ||
deflater.reset() | ||
output.reset() | ||
dos.write(input, 0, inputN) | ||
dos.flush() | ||
inputN = 0 | ||
} | ||
} | ||
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private class Worker { | ||
private[this] val defl = new Deflater(compression, true) | ||
private[this] val buf = new BufOut(blockSize + (blockSize >> 3)) | ||
private[this] val out = new DeflaterOutputStream(buf, defl, true) | ||
def compress(b: Block): Unit = { | ||
defl.reset() | ||
buf.reset() | ||
out.write(b.data, 0, b.length) | ||
out.flush() | ||
b.length = buf.size | ||
if (b.length > b.data.length) b.data = new Array[Byte](b.length) | ||
buf.writeTo(b.data) | ||
// Waits for data to appear in a SynchronousQueue. | ||
// When it does, compress it and pass it along. Also put self in a pool of workers awaiting more work. | ||
// If data does not appear but a `None` appears instead, cease running (and do not add self to work queue). | ||
private final class Worker( | ||
val workers: ArrayBlockingQueue[Worker], | ||
val compressed: LinkedTransferQueue[Either[Int, Block]] | ||
) extends Thread { | ||
val work = new SynchronousQueue[Option[Block]] | ||
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@tailrec | ||
def loop(): Unit = { | ||
work.take() match { | ||
case Some(block) => | ||
block.compress() | ||
compressed.put(Right(block)) | ||
workers.put(this) | ||
loop() | ||
case _ => | ||
} | ||
} | ||
} | ||
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private val localWorker = new ThreadLocal[Worker] { | ||
override def initialValue = new Worker | ||
override def run(): Unit = { | ||
loop() | ||
} | ||
} | ||
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private class Block { | ||
var data = new Array[Byte](blockSize + (blockSize >> 3)) | ||
var length = 0 | ||
// Waits for data to appear in a LinkedTransferQueue. | ||
// When it does, place it into a sorted tree and, if the data is in order, write it out. | ||
// Once the data has been written, place it into a cache for completed buffers. | ||
// If data does not appear but an integer appears instead, set a mark to quit once | ||
// that many blocks have been written. | ||
private final class Scribe(out: OutputStream, val completed: LinkedTransferQueue[Block]) | ||
extends Thread { | ||
val work = new LinkedTransferQueue[Either[Int, Block]] | ||
private val tree = new collection.mutable.TreeMap[Int, Block] | ||
private var next = 0 | ||
private var stopAt = Int.MaxValue | ||
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@tailrec | ||
def loop(): Unit = { | ||
work.take() match { | ||
case Right(block) => | ||
tree(block.index) = block | ||
case Left(limit) => | ||
stopAt = limit | ||
} | ||
while (tree.nonEmpty && tree.head._2.index == next) { | ||
val block = tree.remove(next).get | ||
block.output.writeTo(out) | ||
completed.put(block) | ||
next += 1 | ||
} | ||
if (next < stopAt) loop() | ||
} | ||
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override def run(): Unit = { | ||
loop() | ||
} | ||
} | ||
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private val header = Array[Byte](0x1f.toByte, 0x8b.toByte, Deflater.DEFLATED, 0, 0, 0, 0, 0, 0, 0) | ||
} | ||
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final class ParallelGzipOutputStream(out: OutputStream, ec: ExecutionContext, parallelism: Int) | ||
/** | ||
* Implements a parallel chunked compression algorithm (using minimum of two extra threads). | ||
* Note that the methods in this class are not themselves threadsafe; this class | ||
* has "interior concurrency" (c.f. interior mutability). In particular, writing | ||
* concurrent with or after a close operation is not defined. | ||
*/ | ||
final class ParallelGzipOutputStream(out: OutputStream, parallelism: Int) | ||
extends FilterOutputStream(out) { | ||
import ParallelGzipOutputStream._ | ||
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private final val crc = new CRC32 | ||
private final val queueLimit = parallelism * 3 | ||
// preferred on 2.13: new mutable.ArrayDeque[Future[Block]](queueLimit) | ||
private final val pending = mutable.Queue.empty[Future[Block]] | ||
private var current: Block = new Block | ||
private var free: Block = _ | ||
private var total = 0L | ||
private val crc = new CRC32 | ||
private var totalBlocks = 0 | ||
private var totalCount = 0L | ||
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private val bufferLimit = parallelism * 3 | ||
private var bufferCount = 1 | ||
private var current = new Block(0) | ||
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private val workerCount = math.max(1, parallelism - 1) | ||
private val workers = new ArrayBlockingQueue[Worker](workerCount) | ||
private val buffers = new LinkedTransferQueue[Block]() | ||
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out.write(header) | ||
private val scribe = new Scribe(out, buffers) | ||
scribe.start() | ||
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while (workers.remainingCapacity() > 0) { | ||
val w = new Worker(workers, scribe.work) | ||
workers.put(w) | ||
w.start() | ||
} | ||
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override def write(b: Int): Unit = write(Array[Byte]((b & 0xff).toByte)) | ||
override def write(b: Array[Byte]): Unit = write(b, 0, b.length) | ||
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@tailrec override def write(b: Array[Byte], off: Int, len: Int): Unit = { | ||
val copy = math.min(len, blockSize - current.length) | ||
@tailrec | ||
override def write(b: Array[Byte], off: Int, len: Int): Unit = { | ||
val copy = math.min(len, blockSize - current.inputN) | ||
crc.update(b, off, copy) | ||
total += copy | ||
System.arraycopy(b, off, current.data, current.length, copy) | ||
current.length += copy | ||
totalCount += copy | ||
System.arraycopy(b, off, current.input, current.inputN, copy) | ||
current.inputN += copy | ||
if (copy < len) { | ||
submit() | ||
write(b, off + copy, len - copy) | ||
} | ||
} | ||
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private[this] def submit(): Unit = { | ||
flushUntil(queueLimit - 1) | ||
val finalBlock = current | ||
pending += Future { localWorker.get.compress(finalBlock); finalBlock }(ec) | ||
if (free != null) { | ||
current = free | ||
free = null | ||
} else current = new Block() | ||
private def submit(): Unit = { | ||
val w = workers.take() | ||
w.work.put(Some(current)) | ||
totalBlocks += 1 | ||
current = buffers.poll() | ||
if (current eq null) { | ||
if (bufferCount < bufferLimit) { | ||
current = new Block(totalBlocks) | ||
bufferCount += 1 | ||
} else { | ||
current = buffers.take() | ||
} | ||
} | ||
current.index = totalBlocks | ||
} | ||
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private def flushUntil(remaining: Int): Unit = | ||
while (pending.length > remaining || pending.headOption.exists(_.isCompleted)) { | ||
val b = Await.result(pending.dequeue(), Duration.Inf) | ||
out.write(b.data, 0, b.length) | ||
b.length = 0 | ||
free = b | ||
private def flushImpl(shutdown: Boolean): Unit = { | ||
val fetched = new Array[Block](bufferCount - 1) | ||
var n = 0 | ||
// If we have all the buffers, all pending work is done. | ||
while (n < fetched.length) { | ||
fetched(n) = buffers.take() | ||
n += 1 | ||
} | ||
if (shutdown) { | ||
// Send stop signal to workers and scribe | ||
n = workerCount | ||
while (n > 0) { | ||
workers.take().work.put(None) | ||
n -= 1 | ||
} | ||
scribe.work.put(Left(totalBlocks)) | ||
} else { | ||
// Put all the buffers back so we can keep accepting data. | ||
n = 0 | ||
while (n < fetched.length) { | ||
buffers.put(fetched(n)) | ||
n += 1 | ||
} | ||
} | ||
} | ||
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/** | ||
* Blocks until all pending data is written. Note that this is a poor use of a parallel data writing class. | ||
* It is preferable to write all data and then close the stream. Note also that a flushed stream will not | ||
* have the trailing CRC checksum and therefore will not be a valid compressed file, so there is little point | ||
* flushing early. | ||
*/ | ||
override def flush(): Unit = { | ||
if (current.length > 0) submit() | ||
flushUntil(0) | ||
if (current.inputN > 0) submit() | ||
flushImpl(false) | ||
super.flush() | ||
} | ||
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override def close(): Unit = { | ||
flush() | ||
if (current.inputN > 0) submit() | ||
flushImpl(true) | ||
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val buf = new Array[Byte](10) | ||
def int(i: Int, off: Int): Unit = { | ||
buf(off) = ((i & 0xff).toByte) | ||
buf(off + 1) = (((i >>> 8) & 0xff).toByte) | ||
buf(off + 2) = (((i >>> 16) & 0xff).toByte) | ||
buf(off + 3) = (((i >>> 24) & 0xff).toByte) | ||
} | ||
buf(0) = 3 | ||
int(crc.getValue.toInt, 2) | ||
int((total & 0xffffffffL).toInt, 6) | ||
val bb = java.nio.ByteBuffer.wrap(buf) | ||
bb.order(java.nio.ByteOrder.LITTLE_ENDIAN) | ||
bb.putShort(3) | ||
bb.putInt(crc.getValue.toInt) | ||
bb.putInt((totalCount & 0xffffffffL).toInt) | ||
out.write(buf) | ||
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out.close() | ||
total = Integer.MIN_VALUE | ||
free = null | ||
} | ||
} |
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