我将很多文本插入到redis中以便逐行存储频率。但是,jedis/redis在执行一定操作后需要花费大量时间执行 e操作,并且程序以错误结束: java.lang.OutOfMemoryError。Jedis(Redis)减速
这里是我的测试主要文件: 公共类临时{
private ExecutorService executor;
public temp() {
executor = Executors.newFixedThreadPool(5);
}
public static void main(String[] args) {
temp ob = new temp();
System.out.println("starting");
for(long i =0;i<10000000;i++) {
if (i%10000 == 0) {
System.out.println(i);
}
String x = Integer.toString(new Random().nextInt());
ob.executor.submit(new Runner1("abra"+x));
ob.executor.submit(new Runner2("delhi"+x));
}
try {
if (ob.executor.awaitTermination(Long.MAX_VALUE, TimeUnit.NANOSECONDS)) {
System.out.println("completed");
}
} catch (Exception ex) {
ex.printStackTrace();
}
}
}
这里是我的两个参赛者: 亚军1:
public class Runner1 implements Runnable {
//private static RedisClientUtil redisClient = null;
private String key;
private static Integer count = 0;
public Runner1(String key) {
this.key = key;
}
public void run() {
try {
ArrayList<ArrayList<Object>> cmd = new ArrayList<ArrayList<Object>>();
String offer_title = this.key + " this is thread1";
String offer_title_words[] = offer_title.split(" ");
for (String word : offer_title_words) {
// INCR the frequency in reddis
cmd.add(GenerateUtils.getArrayList("incrBy", "test"+word, 1));
}
List<Object> responses = RedisbenchmarkTest.getLocalhostJedisPool().executePipelinedAndReturnResponses(0,cmd);
cmd = null;
responses = null;
updateNumberOfRowsInserted();
} catch (Exception ex) {
ex.printStackTrace();
}
}
private synchronized void updateNumberOfRowsInserted() {
//logging
count++;
if(count%10000==0)
System.out.println("Thread 1 : " + count);
}
}
亚军2:
public class Runner2 implements Runnable {
//private static RedisClientUtil redisClient = null;
private String key;
private static Integer count = 0;
public Runner2(String key) {
this.key = key;
}
public void run() {
try {
ArrayList<ArrayList<Object>> cmd = new ArrayList<ArrayList<Object>>();
String offer_title = this.key + " this is thread2";
String offer_title_words [] = offer_title.split(" ");
for (String word : offer_title_words) {
// INCR the category_word in reddis
cmd.add(GenerateUtils.getArrayList("incrBy","test1"+word,1));
} RedisbenchmarkTest.getLocalhostJedisPool().executePipelinedWithoutReturningResponses(0,cmd);
updateNumberOfRowsInserted();
} catch (Exception ex) {
ex.printStackTrace();
}
}
private synchronized void updateNumberOfRowsInserted() {
//logging
count++;
if(count%10000==0)
System.out.println("Thread 2 : " + count);
}
}
这是我的Redis客户端:
public class RedisbenchmarkTest {
private static RedisClientUtil localhostJedisPool;
private static final JedisPoolConfig standardJedisPoolConfig = new JedisPoolConfig() {{
setMaxTotal(500);
setMaxIdle(20);
setMaxWaitMillis(500);
setTestOnBorrow(false);
setTestOnReturn(false);
}};
private static final int semiLowTimeout = 500;
static {
initialize();
}
public static void initialize() {
localhostJedisPool = new RedisClientUtil(
standardJedisPoolConfig
, "localhost"
, 6379
, semiLowTimeout
);
}
public static RedisClientUtil getLocalhostJedisPool() {
if (localhostJedisPool == null) {
initialize();
}
return localhostJedisPool;
}
}
#存储器 used_memory:23754992 used_memory_human:22.65M used_memory_rss:27152384 used_memory_rss_human:25.89M used_memory_peak:23754992 used_memory_peak_human:22.65M total_system_memory:8589934592 total_system_memory_human:8.00克 used_memory_lua:37888 used_memory_lua_human:37.00K maxmemory:0 maxmemory_human:0B maxmemory_policy:noeviction mem_fragmentation_ratio:1.14 mem_allocator:libc的 – ranger
的根据INFO redis,内存不会被大量使用。 – ranger
你可以运行“redis-cli info”,然后启动你的java应用程序并查看是否立即处理命令。也许jedis正在批量执行命令并导致暂停? – edlerd