Hbase错误解析: Call queue is full on /0.0.0.0:60020, too many items queued ?

完整错误日志如下:

2020-02-15 09:21:19,659 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - , tableName=bd_push_device
2020-02-15 09:21:39,795 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - #21692403, table=bd_push_device, attempt=28/35 failed=2ops, last exception: org.apache.hadoop.hbase.ipc.RemoteWithExtrasException(org.apache.hadoop.hbase.CallQueueTooBigException): Call queue is full on /0.0.0.0:60020, too many items queued ? on lvzhuweng,60020,1581302282313, tracking started null, retrying after=20093ms, replay=2ops
2020-02-15 09:21:39,801 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - , tableName=bd_push_device
2020-02-15 09:21:59,891 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - #21692403, table=bd_push_device, attempt=29/35 failed=2ops, last exception: org.apache.hadoop.hbase.ipc.RemoteWithExtrasException(org.apache.hadoop.hbase.CallQueueTooBigException): Call queue is full on /0.0.0.0:60020, too many items queued ? on lvzhuweng,60020,1581302282313, tracking started null, retrying after=20007ms, replay=2ops
2020-02-15 09:21:59,892 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - , tableName=bd_push_device
2020-02-15 09:22:19,900 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - #21692403, table=bd_push_device, attempt=30/35 failed=2ops, last exception: org.apache.hadoop.hbase.ipc.RemoteWithExtrasException(org.apache.hadoop.hbase.CallQueueTooBigException): Call queue is full on /0.0.0.0:60020, too many items queued ? on lvzhuweng,60020,1581302282313, tracking started null, retrying after=20106ms, replay=2ops
2020-02-15 09:22:19,902 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - , tableName=bd_push_device
2020-02-15 09:22:40,008 INFO  org.apache.hadoop.hbase.client.AsyncProcess                   - #21692403, table=bd_push_device, attempt=31/35 failed=2ops, last exception: org.apache.hadoop.hbase.ipc.RemoteWithExtrasException(org.apache.hadoop.hbase.CallQueueTooBigException): Call queue is full on /0.0.0.0:60020, too many items queued ? on lvzhuweng,60020,1581302282313, tracking started null, retrying after=20144ms, replay=2ops

原因:

根据异常日志推测是消费队列(默认长度为10倍的Handler数)打满导致,查看源码ServerRpcConnection类处理请求processRequest()方法:
/**

  • @param buf
  • Has the request header and the request param and optionally
  • encoded data buffer all in this one array.
  • @throws IOException
  • @throws InterruptedException
    */

protected void processRequest(ByteBuff buf) throws IOException,

  InterruptedException {
...if (!this.rpcServer.scheduler.dispatch(new CallRunner(this.rpcServer, call))) {this.rpcServer.callQueueSizeInBytes.add(-1 * call.getSize());this.rpcServer.metrics.exception(RpcServer.CALL_QUEUE_TOO_BIG_EXCEPTION);call.setResponse(null, null, RpcServer.CALL_QUEUE_TOO_BIG_EXCEPTION,"Call queue is full on " + this.rpcServer.server.getServerName() +", too many items queued ?");call.sendResponseIfReady();
}

}
得知Server端通过executeRpcCall()方法执行RPC远程调用,CallRunner消费次数超过"hbase.ipc.server.max.callqueue.length"配置值就会引起"too many items queued"异常:
protected boolean executeRpcCall(final ThreadPoolExecutor executor, final AtomicInteger queueSize,

  final CallRunner task) {
// Executors provide no offer, so make our own.
int queued = queueSize.getAndIncrement();
if (maxQueueLength > 0 && queued >= maxQueueLength) {queueSize.decrementAndGet();return false;
}executor.execute(new FifoCallRunner(task){@Overridepublic void run() {task.setStatus(RpcServer.getStatus());task.run();queueSize.decrementAndGet();}
});return true;

}
public FifoRpcScheduler(Configuration conf, int handlerCount) {

this.handlerCount = handlerCount;
this.maxQueueLength = conf.getInt(RpcScheduler.IPC_SERVER_MAX_CALLQUEUE_LENGTH,handlerCount * RpcServer.DEFAULT_MAX_CALLQUEUE_LENGTH_PER_HANDLER);

}

public static final String IPC_SERVER_MAX_CALLQUEUE_LENGTH =

  "hbase.ipc.server.max.callqueue.length";

9

 

 

 

解决方法:

队列 满了, 可以设置大一些。

 

 

 

 

 

 


 


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