Java并行序列化和压缩
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我有一个JavaSE8应用程序,用于并行处理大型数据集。我正在生成1M对象,我想将其序列化为单个压缩文件。该文件将从Web应用程序下载/上传。并行过程得到了很好的优化。然而,序列化/压缩是按顺序完成的,它是我的应用程序的瓶颈。
我测试了不同的解决方案:Kryo,ChronicleMap ......我现在正在使用Kryo和Bz2压缩。它正在发挥作用。但表现不够好。
我找不到任何进行并行序列化和压缩的解决方案。欢迎提供此方面的任何信息
答案
实际上并行或顺序处理数据集的方式实际上并不重要,因为在清晰的设计中 - 序列化始终是顺序的(由于输出流,套接字等的连续性)操作并且不在数据集处理之外。因此,如果您要序列化并将序列化数据集放入文件,连接或原始内存中,则必须定义一个屏障,以保护数据免受并发竞争和不期望的修改。
当然,有些情况下每个工作线程序列化数据本身,例如http服务器工作,但在这里我们讨论的是并行处理并最终序列化的单个数据集。
所以,根据上面的说法,它应该是一个正确的答案。它使用标准的Java序列化+ GZIP压缩。您可以在此代码中轻松替换序列化和/或压缩,并针对当前解决方案进行基准测试。
package com.example.demo;
import java.io.*;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.zip.GZIPInputStream;
import java.util.zip.GZIPOutputStream;
import static java.lang.String.format;
public final class ParallelObjectsSerialization {
private static final int ONE_MILLION = 1_000_000;
private static final String SERIALIZE_FILE = "/tmp/out.bin";
public static void main(String[] args) throws IOException, ClassNotFoundException {
// List<Player> players = parallelGenerate1MPlayers();
List<Player> players = seqGenerate1MPlayers();
serialize(players);
players.clear();
players = deserialize();
}
private static List<Player> deserialize() throws IOException, ClassNotFoundException {
long started = System.currentTimeMillis();
List<Player> players = new ArrayList<>();
try (ObjectInputStream in = new ObjectInputStream(new GZIPInputStream(new FileInputStream(SERIALIZE_FILE)))) {
for (int i = 0; i < ONE_MILLION; i++) {
players.add((Player) in.readObject());
}
}
long time = System.currentTimeMillis() - started;
System.out.println(format("deserialization of %d objects took %d ms", players.size(), time));
return players;
}
private static final class Player implements Serializable {
private final String name;
private final int level;
private Player(String name, int level) {
this.name = name;
this.level = level;
}
}
private static List<Player> seqGenerate1MPlayers() {
long started = System.currentTimeMillis();
List<Player> players = new ArrayList<>(ONE_MILLION);
for (int i = 0; i < ONE_MILLION; i++) {
players.add(new Player(randomName(i), i));
}
long time = System.currentTimeMillis() - started;
System.out.println(format("sequential generating of %d objects took %d ms", players.size(), time));
return players;
}
private static List<Player> parallelGenerate1MPlayers() {
long started = System.currentTimeMillis();
Player[] players = new Player[ONE_MILLION];
Arrays.parallelSetAll(players, (i) -> new Player(randomName(i), i));
long time = System.currentTimeMillis() - started;
System.out.println(format("parallel generating of %d objects took %d ms", players.length, time));
return Arrays.asList(players);
}
private static void serialize(List<Player> players) throws IOException {
long started = System.currentTimeMillis();
try (ObjectOutputStream out = new ObjectOutputStream(new GZIPOutputStream(new FileOutputStream(SERIALIZE_FILE)))) {
for (Player player : players) {
out.writeObject(player);
}
}
long time = System.currentTimeMillis() - started;
System.out.println(format("serialization of %d objects took %d ms", players.size(), time));
}
private static String randomName(int seed) {
StringBuilder builder = new StringBuilder();
double chance = 30.0;
for (char c = 'a'; c <= 'z'; c++) {
if (Math.random() * 100.0 <= chance) {
builder.append(c);
if (builder.length() == 7) {
break;
}
}
}
if (builder.length() == 0) {
builder.append("unknown").append(seed);
}
return builder.toString();
}
}
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