Example usage for org.apache.hadoop.yarn.conf YarnConfiguration DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT

List of usage examples for org.apache.hadoop.yarn.conf YarnConfiguration DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT

Introduction

In this page you can find the example usage for org.apache.hadoop.yarn.conf YarnConfiguration DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT.

Prototype

int DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT

To view the source code for org.apache.hadoop.yarn.conf YarnConfiguration DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT.

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Usage

From source file:com.github.hdl.tensorflow.yarn.app.TFApplicationRpcServer.java

License:Apache License

@Override
public void run() {
    Configuration conf = new Configuration();
    YarnRPC rpc = YarnRPC.create(conf);//from   w  ww  .  j  a  va  2 s.c o m
    InetSocketAddress address = new InetSocketAddress(rpcAddress, rpcPort);
    this.server = rpc.getServer(TensorFlowCluster.class, this, address, conf, null,
            conf.getInt(YarnConfiguration.RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT,
                    YarnConfiguration.DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT));

    this.server.start();
}

From source file:org.hdl.caffe.yarn.app.CaffeApplicationRpcServer.java

License:Apache License

@Override
public void run() {
    Configuration conf = new Configuration();
    YarnRPC rpc = YarnRPC.create(conf);/*from w w  w.j  a v  a  2  s .  c  o  m*/
    InetSocketAddress address = new InetSocketAddress(rpcAddress, rpcPort);
    this.server = rpc.getServer(CaffeCluster.class, this, address, conf, null,
            conf.getInt(YarnConfiguration.RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT,
                    YarnConfiguration.DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT));

    this.server.start();
}

From source file:org.hdl.tensorflow.yarn.rpc.impl.TFApplicationRpcServer.java

License:Apache License

@Override
public void run() {
    Configuration conf = new Configuration();
    YarnRPC rpc = YarnRPC.create(conf);//  w  ww .ja v a  2  s  .  c  o  m
    InetSocketAddress address = new InetSocketAddress(rpcAddress, rpcPort);
    Server server = rpc.getServer(TensorFlowCluster.class, this, address, conf, null,
            conf.getInt(YarnConfiguration.RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT,
                    YarnConfiguration.DEFAULT_RM_RESOURCE_TRACKER_CLIENT_THREAD_COUNT));

    server.start();
}