Java InterfaceAudience.Private方法代碼示例

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
public static Connector createDefaultChannelConnector() {
  SelectChannelConnector ret = new SelectChannelConnector();
  ret.setLowResourceMaxIdleTime(10000);
  ret.setAcceptQueueSize(128);
  ret.setResolveNames(false);
  ret.setUseDirectBuffers(false);
  if(Shell.WINDOWS) {
    // result of setting the SO_REUSEADDR flag is different on Windows
    // http://msdn.microsoft.com/en-us/library/ms740621(v=vs.85).aspx
    // without this 2 NN's can start on the same machine and listen on
    // the same port with indeterminate routing of incoming requests to them
    ret.setReuseAddress(false);
  }
  ret.setHeaderBufferSize(1024*64);
  return ret;
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@VisibleForTesting
@InterfaceAudience.Private
@InterfaceStability.Unstable
static Client getClient(Configuration conf) {
  return CLIENTS.getClient(conf, SocketFactory.getDefault(),
      RpcResponseWrapper.class);
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
@Override
public DatumReader getReader(Class<Object> clazz) {
  try {
    return new ReflectDatumReader(clazz);
  } catch (Exception e) {
    throw new RuntimeException(e);
  }
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
/** Returns the current find options, creating them if necessary. */
@InterfaceAudience.Private
FindOptions getOptions() {
  if (options == null) {
    options = createOptions();
  }
  return options;
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@Override
@InterfaceAudience.Private
public void init(String contextName, ContextFactory factory) {
  super.init(contextName, factory);
  parseAndSetPeriod(PERIOD_PROPERTY);
      
  metricsServers = 
    Util.parse(getAttribute(SERVERS_PROPERTY), DEFAULT_PORT); 
      
  unitsTable = getAttributeTable(UNITS_PROPERTY);
  slopeTable = getAttributeTable(SLOPE_PROPERTY);
  tmaxTable  = getAttributeTable(TMAX_PROPERTY);
  dmaxTable  = getAttributeTable(DMAX_PROPERTY);
  multicastEnabled = Boolean.parseBoolean(getAttribute(MULTICAST_PROPERTY));
  String multicastTtlValue = getAttribute(MULTICAST_TTL_PROPERTY);
  if (multicastEnabled) {
    if (multicastTtlValue == null) {
      multicastTtl = DEFAULT_MULTICAST_TTL;
    } else {
      multicastTtl = Integer.parseInt(multicastTtlValue);
    }
  }
      
  try {
    if (multicastEnabled) {
      LOG.info("Enabling multicast for Ganglia with TTL " + multicastTtl);
      datagramSocket = new MulticastSocket();
      ((MulticastSocket) datagramSocket).setTimeToLive(multicastTtl);
    } else {
      datagramSocket = new DatagramSocket();
    }
  } catch (IOException e) {
    LOG.error(e);
  }
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
@Override
public void close() {
  for (MetricsContext ctxt : subctxt) {
    ctxt.close();
  }
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
/**
 * For use only by tests and initialization
 */
@InterfaceAudience.Private
@VisibleForTesting
public static void setTokenServiceUseIp(boolean flag) {
  useIpForTokenService = flag;
  hostResolver = !useIpForTokenService
      ? new QualifiedHostResolver()
      : new StandardHostResolver();
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@Override
@InterfaceAudience.Private
public void emitRecord(String contextName, String recordName,
  OutputRecord outRec) 
throws IOException {
  // Setup so that the records have the proper leader names so they are
  // unambiguous at the ganglia level, and this prevents a lot of rework
  StringBuilder sb = new StringBuilder();
  sb.append(contextName);
  sb.append('.');

  if (contextName.equals("jvm") && outRec.getTag("processName") != null) {
    sb.append(outRec.getTag("processName"));
    sb.append('.');
  }

  sb.append(recordName);
  sb.append('.');
  int sbBaseLen = sb.length();

  // emit each metric in turn
  for (String metricName : outRec.getMetricNames()) {
    Object metric = outRec.getMetric(metricName);
    String type = typeTable.get(metric.getClass());
    if (type != null) {
      sb.append(metricName);
      emitMetric(sb.toString(), type, metric.toString());
      sb.setLength(sbBaseLen);
    } else {
      LOG.warn("Unknown metrics type: " + metric.getClass());
    }
  }
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@Override
@InterfaceAudience.Private
public void write(DataOutput out) throws IOException {
  out.writeLong(blockSize);
  out.writeInt(bytesPerChecksum);
  out.writeInt(writePacketSize);
  out.writeShort(replication);
  out.writeInt(fileBufferSize);
  WritableUtils.writeEnum(out, checksumType);
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
@VisibleForTesting
public synchronized void restartResourceManager(int index)
    throws InterruptedException {
  if (resourceManagers[index] != null) {
    resourceManagers[index].stop();
    resourceManagers[index] = null;
  }
  Configuration conf = getConfig();
  resourceManagers[index] = new ResourceManager();
  initResourceManager(index, getConfig());
  startResourceManager(index);
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
@Override
protected void flush() throws IOException {
  for (MetricsContext ctxt : subctxt) {
    try {
      ((AbstractMetricsContext)ctxt).flush();
    } catch (IOException e) {
      LOG.warn("flush failed: " + ctxt.getContextName(), e);
    }
  }
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
public AbstractCounters(CounterGroupFactory<C, G> gf) {
  groupFactory = gf;
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
@InterfaceAudience.Private
@Override
public DatumWriter getWriter(Class<Object> clazz) {
  return new ReflectDatumWriter();
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
/**
 * Should quotas get shown as part of the report?
 * @return if quotas should be shown then true otherwise false
 */
@InterfaceAudience.Private
boolean isShowQuotas() {
  return showQuotas;
}
 

import org.apache.hadoop.classification.InterfaceAudience; //導入方法依賴的package包/類
/**
 * should print quota by storage types
 * @return true if enables quota by storage types
 */
@InterfaceAudience.Private
boolean isShowQuotabyType() {
  return showQuotabyType;
}