Java OutputRecord类代码示例

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
/**
 * Collects all metric data, and returns a map:
 *   contextName -> recordName -> [ (tag->tagValue), (metric->metricValue) ].
 * The values are either String or Number.  The final value is implemented
 * as a list of TagsMetricsPair.
 */
 Map<String, Map<String, List<TagsMetricsPair>>> makeMap(
     Collection<MetricsContext> contexts) throws IOException {
  Map<String, Map<String, List<TagsMetricsPair>>> map = 
    new TreeMap<String, Map<String, List<TagsMetricsPair>>>();

  for (MetricsContext context : contexts) {
    Map<String, List<TagsMetricsPair>> records = 
      new TreeMap<String, List<TagsMetricsPair>>();
    map.put(context.getContextName(), records);
  
    for (Map.Entry<String, Collection<OutputRecord>> r : 
        context.getAllRecords().entrySet()) {
      List<TagsMetricsPair> metricsAndTags = 
        new ArrayList<TagsMetricsPair>();
      records.put(r.getKey(), metricsAndTags);
      for (OutputRecord outputRecord : r.getValue()) {
        TagMap tagMap = outputRecord.getTagsCopy();
        MetricMap metricMap = outputRecord.getMetricsCopy();
        metricsAndTags.add(new TagsMetricsPair(tagMap, metricMap));
      }
    }
  }
  return map;
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
/**
 * Initializes, for testing, two NoEmitMetricsContext's, and adds one value 
 * to the first of them.
 */
@Override
public void setUp() throws IOException {
  nc1 = new NoEmitMetricsContext();
  nc1.init("test1", ContextFactory.getFactory());
  nc2 = new NoEmitMetricsContext();
  nc2.init("test2", ContextFactory.getFactory());
  contexts = new ArrayList<MetricsContext>();
  contexts.add(nc1);
  contexts.add(nc2);

  MetricsRecord r = nc1.createRecord("testRecord");
  
  r.setTag("testTag1", "testTagValue1");
  r.setTag("testTag2", "testTagValue2");
  r.setMetric("testMetric1", 1);
  r.setMetric("testMetric2", 33);
  r.update();

  Map<String, Collection<OutputRecord>> m = nc1.getAllRecords();
  assertEquals(1, m.size());
  assertEquals(1, m.values().size());
  Collection<OutputRecord> outputRecords = m.values().iterator().next();
  assertEquals(1, outputRecords.size());
  outputRecord = outputRecords.iterator().next();
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
@Override
public void emitRecord(String contextName, String recordName,
    OutputRecord outRec) {
  writer.print(iso8601());
  writer.print(" ");
  writer.print(contextName);
  writer.print(".");
  writer.print(recordName);
  String separator = ": ";
  for (String tagName : outRec.getTagNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(tagName);
    writer.print("=");
    writer.print(outRec.getTag(tagName));
  }
  for (String metricName : outRec.getMetricNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(metricName);
    writer.print("=");
    writer.print(outRec.getMetric(metricName));
  }
  writer.println();
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
private static void logMetrics(ThriftMetrics metrics) throws Exception {
  if (LOG.isDebugEnabled()) {
    return;
  }
  MetricsContext context = MetricsUtil.getContext( 
      ThriftMetrics.CONTEXT_NAME); 
  metrics.doUpdates(context); 
  for (String key : context.getAllRecords().keySet()) {
    for (OutputRecord record : context.getAllRecords().get(key)) {
      for (String name : record.getMetricNames()) {
        LOG.debug("metrics:" + name + " value:" +
            record.getMetric(name).intValue());
      }
    }
  }
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
/**
 * Emits a metrics record to a file.
 */
@InterfaceAudience.Private
public void emitRecord(String contextName, String recordName, OutputRecord outRec) {
  writer.print(contextName);
  writer.print(".");
  writer.print(recordName);
  String separator = ": ";
  for (String tagName : outRec.getTagNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(tagName);
    writer.print("=");
    writer.print(outRec.getTag(tagName));
  }
  for (String metricName : outRec.getMetricNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(metricName);
    writer.print("=");
    writer.print(outRec.getMetric(metricName));
  }
  writer.println();
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
/**
 * Initializes, for testing, two NoEmitMetricsContext's, and adds one value 
 * to the first of them.
 */
public void setUp() throws IOException {
  nc1 = new NoEmitMetricsContext();
  nc1.init("test1", ContextFactory.getFactory());
  nc2 = new NoEmitMetricsContext();
  nc2.init("test2", ContextFactory.getFactory());
  contexts = new ArrayList<MetricsContext>();
  contexts.add(nc1);
  contexts.add(nc2);

  MetricsRecord r = nc1.createRecord("testRecord");
  
  r.setTag("testTag1", "testTagValue1");
  r.setTag("testTag2", "testTagValue2");
  r.setMetric("testMetric1", 1);
  r.setMetric("testMetric2", 33);
  r.update();

  Map<String, Collection<OutputRecord>> m = nc1.getAllRecords();
  assertEquals(1, m.size());
  assertEquals(1, m.values().size());
  Collection<OutputRecord> outputRecords = m.values().iterator().next();
  assertEquals(1, outputRecords.size());
  outputRecord = outputRecords.iterator().next();
}
 

import org.apache.hadoop.metrics.spi.OutputRecord; //导入依赖的package包/类
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('.');
  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.metrics.spi.OutputRecord; //导入依赖的package包/类
@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('.');
  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.metrics.spi.OutputRecord; //导入依赖的package包/类
/**
 * Emits a metrics record to a file.
 */
public void emitRecord(String contextName, String recordName, OutputRecord outRec) {
  writer.print(contextName);
  writer.print(".");
  writer.print(recordName);
  String separator = ": ";
  for (String tagName : outRec.getTagNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(tagName);
    writer.print("=");
    writer.print(outRec.getTag(tagName));
  }
  for (String metricName : outRec.getMetricNames()) {
    writer.print(separator);
    separator = ", ";
    writer.print(metricName);
    writer.print("=");
    writer.print(outRec.getMetric(metricName));
  }
  writer.println();
}