use of org.apache.hadoop.metrics2.lib.MutableQuantiles in project hive by apache.
the class LlapDaemonIOMetrics method addDecodeBatchTime.
public void addDecodeBatchTime(long latency) {
rateOfDecoding.add(latency);
if (latency > maxTime) {
maxTime = latency;
maxDecodingTime.set(maxTime);
}
for (MutableQuantiles q : decodingTimes) {
q.add(latency);
}
}
use of org.apache.hadoop.metrics2.lib.MutableQuantiles in project hive by apache.
the class LlapDaemonIOMetrics method getIoStats.
private void getIoStats(MetricsRecordBuilder rb) {
rb.addGauge(MaxDecodingTime, maxDecodingTime.value());
rateOfDecoding.snapshot(rb, true);
for (MutableQuantiles q : decodingTimes) {
q.snapshot(rb, true);
}
}
use of org.apache.hadoop.metrics2.lib.MutableQuantiles in project hive by apache.
the class LlapDaemonExecutorMetrics method addMetricsPreemptionTimeToKill.
public void addMetricsPreemptionTimeToKill(long value) {
totalPreemptionTimeToKill.incr(value);
if (value > maxTimeToKill) {
maxTimeToKill = value;
maxPreemptionTimeToKill.set(maxTimeToKill);
}
for (MutableQuantiles q : percentileTimeToKill) {
q.add(value);
}
}
use of org.apache.hadoop.metrics2.lib.MutableQuantiles in project hadoop by apache.
the class TestMutableMetrics method testMutableQuantilesEmptyRollover.
/**
* Test that {@link MutableQuantiles} rolls over correctly even if no items
* have been added to the window
*/
@Test(timeout = 30000)
public void testMutableQuantilesEmptyRollover() throws Exception {
MetricsRecordBuilder mb = mockMetricsRecordBuilder();
MetricsRegistry registry = new MetricsRegistry("test");
// Use a 5s rollover period
MutableQuantiles quantiles = registry.newQuantiles("foo", "stat", "Ops", "Latency", 5);
// Check it initially
quantiles.snapshot(mb, true);
verify(mb).addGauge(info("FooNumOps", "Number of ops for stat with 5s interval"), (long) 0);
Thread.sleep(6000);
quantiles.snapshot(mb, false);
verify(mb, times(2)).addGauge(info("FooNumOps", "Number of ops for stat with 5s interval"), (long) 0);
}
use of org.apache.hadoop.metrics2.lib.MutableQuantiles in project hadoop by apache.
the class TestMutableMetrics method testMutableQuantilesError.
/**
* Ensure that quantile estimates from {@link MutableQuantiles} are within
* specified error bounds.
*/
@Test(timeout = 30000)
public void testMutableQuantilesError() throws Exception {
MetricsRecordBuilder mb = mockMetricsRecordBuilder();
MetricsRegistry registry = new MetricsRegistry("test");
// Use a 5s rollover period
MutableQuantiles quantiles = registry.newQuantiles("foo", "stat", "Ops", "Latency", 5);
// Push some values in and wait for it to publish
long start = System.nanoTime() / 1000000;
for (long i = 1; i <= 1000; i++) {
quantiles.add(i);
quantiles.add(1001 - i);
}
long end = System.nanoTime() / 1000000;
Thread.sleep(6000 - (end - start));
registry.snapshot(mb, false);
// Print out the snapshot
Map<Quantile, Long> previousSnapshot = quantiles.previousSnapshot;
for (Entry<Quantile, Long> item : previousSnapshot.entrySet()) {
System.out.println(String.format("Quantile %.2f has value %d", item.getKey().quantile, item.getValue()));
}
// Verify the results are within our requirements
verify(mb).addGauge(info("FooNumOps", "Number of ops for stat with 5s interval"), (long) 2000);
Quantile[] quants = MutableQuantiles.quantiles;
String name = "Foo%dthPercentileLatency";
String desc = "%d percentile latency with 5 second interval for stat";
for (Quantile q : quants) {
int percentile = (int) (100 * q.quantile);
int error = (int) (1000 * q.error);
String n = String.format(name, percentile);
String d = String.format(desc, percentile);
long expected = (long) (q.quantile * 1000);
verify(mb).addGauge(eq(info(n, d)), leq(expected + error));
verify(mb).addGauge(eq(info(n, d)), geq(expected - error));
}
}
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