use of org.opennms.newts.api.Results.Row in project newts by OpenNMS.
the class InsertSelectMeasurementsITCase method testWithDefaultResolution.
@Test
public void testWithDefaultResolution() {
Iterator<Row<Sample>> testSamples = new SampleRowsBuilder(new Resource("localhost"), MetricType.GAUGE).row(900000000).element("mGauge", // Thu Jul 9 11:00:00 CDT 1998
1).row(900000300).element("mGauge", 1).row(900000600).element("mGauge", 1).row(900000900).element("mGauge", 1).row(900001200).element("mGauge", 1).row(900001500).element("mGauge", 1).row(900001800).element("mGauge", 1, mapFor("a", "1")).row(900002100).element("mGauge", 3).row(900002400).element("mGauge", 3, mapFor("b", "2")).row(900002700).element("mGauge", 3).row(900003000).element("mGauge", 3).row(900003300).element("mGauge", 3).row(900003600).element("mGauge", 3).row(900003900).element("mGauge", 1).row(900004200).element("mGauge", 1).row(900004500).element("mGauge", 1).row(900004800).element("mGauge", 1).row(900005100).element("mGauge", 1, mapFor("c", "3")).row(900005400).element("mGauge", 1).row(900005700).element("mGauge", 3, mapFor("d", "4")).row(900006000).element("mGauge", 3).row(900006300).element("mGauge", 3).row(900006600).element("mGauge", 3).row(900006900).element("mGauge", 3).row(900007200).element("mGauge", // Thu Jul 9 13:00:00 CDT 1998
3).build();
ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("mGauge-avg", "mGauge", Duration.seconds(600), AVERAGE).export("mGauge-avg");
Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(900003600).element("mGauge-avg", 3).row(900004200).element("mGauge-avg", 1).row(900004800).element("mGauge-avg", 1).row(900005400).element("mGauge-avg", 1).row(900006000).element("mGauge-avg", 3).row(900006600).element("mGauge-avg", 3).row(900007200).element("mGauge-avg", 3).build();
writeSamples(testSamples);
Results<Measurement> results = getRepository().select(Context.DEFAULT_CONTEXT, new Resource("localhost"), Optional.of(Timestamp.fromEpochSeconds(900003600)), Optional.of(Timestamp.fromEpochSeconds(900007200)), rDescriptor, Optional.<Duration>absent());
// Validate results
assertRowsEqual(expected, results.iterator());
}
use of org.opennms.newts.api.Results.Row in project newts by OpenNMS.
the class InsertSelectMeasurementsITCase method testWithDerive.
@Test
public void testWithDerive() {
Iterator<Row<Sample>> testSamples = new SampleRowsBuilder(new Resource("localhost"), MetricType.DERIVE).row(900000000).element("mDerive", // Thu Jul 9 11:00:00 CDT 1998
0).row(900000300).element("mDerive", 300).row(900000600).element("mDerive", 600).row(900000900).element("mDerive", 900).row(900001200).element("mDerive", 1200).row(900001500).element("mDerive", 1500).row(900001800).element("mDerive", 1800, mapFor("a", "1")).row(900002100).element("mDerive", 2100).row(900002400).element("mDerive", 2400, mapFor("b", "2")).row(900002700).element("mDerive", 2700).row(900003000).element("mDerive", 3000).row(900003300).element("mDerive", 3300).row(900003600).element("mDerive", 3600).row(900003900).element("mDerive", 3900).row(900004200).element("mDerive", 4200).row(900004500).element("mDerive", 4500).row(900004800).element("mDerive", 4800).row(900005100).element("mDerive", 5100, mapFor("c", "3")).row(900005400).element("mDerive", 5400).row(900005700).element("mDerive", 5700, mapFor("d", "4")).row(900006000).element("mDerive", 6000).row(900006300).element("mDerive", 6300).row(900006600).element("mDerive", 6600).row(900006900).element("mDerive", 6900).row(900007200).element("mDerive", // Thu Jul 9 13:00:00 CDT 1998
7200).build();
ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("mDerive-avg", "mDerive", Duration.seconds(600), AVERAGE).export("mDerive-avg");
Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(900003600).element("mDerive-avg", 1).row(900007200).element("mDerive-avg", 1).build();
writeSamples(testSamples);
Results<Measurement> results = getRepository().select(Context.DEFAULT_CONTEXT, new Resource("localhost"), Optional.of(Timestamp.fromEpochSeconds(900003600)), Optional.of(Timestamp.fromEpochSeconds(900007200)), rDescriptor, Optional.of(Duration.minutes(60)));
// Validate results
assertRowsEqual(expected, results.iterator());
// Validate merged attributes
Iterator<Row<Measurement>> rows = results.iterator();
assertAttributes(rows.next().getElement("mDerive-avg"), mapFor("a", "1", "b", "2"));
assertAttributes(rows.next().getElement("mDerive-avg"), mapFor("c", "3", "d", "4"));
}
use of org.opennms.newts.api.Results.Row in project newts by OpenNMS.
the class InsertSelectMeasurementsITCase method test.
@Test
public void test() {
Iterator<Row<Sample>> testSamples = new SampleRowsBuilder(new Resource("localhost"), MetricType.GAUGE).row(900000000).element("mGauge", // Thu Jul 9 11:00:00 CDT 1998
1).row(900000300).element("mGauge", 1).row(900000600).element("mGauge", 1).row(900000900).element("mGauge", 1).row(900001200).element("mGauge", 1).row(900001500).element("mGauge", 1).row(900001800).element("mGauge", 1, mapFor("a", "1")).row(900002100).element("mGauge", 3).row(900002400).element("mGauge", 3, mapFor("b", "2")).row(900002700).element("mGauge", 3).row(900003000).element("mGauge", 3).row(900003300).element("mGauge", 3).row(900003600).element("mGauge", 3).row(900003900).element("mGauge", 1).row(900004200).element("mGauge", 1).row(900004500).element("mGauge", 1).row(900004800).element("mGauge", 1).row(900005100).element("mGauge", 1, mapFor("c", "3")).row(900005400).element("mGauge", 1).row(900005700).element("mGauge", 3, mapFor("d", "4")).row(900006000).element("mGauge", 3).row(900006300).element("mGauge", 3).row(900006600).element("mGauge", 3).row(900006900).element("mGauge", 3).row(900007200).element("mGauge", // Thu Jul 9 13:00:00 CDT 1998
3).build();
ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("mGauge-avg", "mGauge", Duration.seconds(600), AVERAGE).export("mGauge-avg");
Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(900003600).element("mGauge-avg", 2).row(900007200).element("mGauge-avg", 2).build();
writeSamples(testSamples);
Results<Measurement> results = getRepository().select(Context.DEFAULT_CONTEXT, new Resource("localhost"), Optional.of(Timestamp.fromEpochSeconds(900003600)), Optional.of(Timestamp.fromEpochSeconds(900007200)), rDescriptor, Optional.of(Duration.minutes(60)));
// Validate results
assertRowsEqual(expected, results.iterator());
// Validate merged attributes
Iterator<Row<Measurement>> rows = results.iterator();
assertAttributes(rows.next().getElement("mGauge-avg"), mapFor("a", "1", "b", "2"));
assertAttributes(rows.next().getElement("mGauge-avg"), mapFor("c", "3", "d", "4"));
}
use of org.opennms.newts.api.Results.Row in project newts by OpenNMS.
the class PrimaryDataTest method testHeartbeatNaNs.
@Test
public void testHeartbeatNaNs() {
// Test for NEWTS-70
Iterator<Row<Sample>> testData = new SampleRowsBuilder(new Resource("localhost"), MetricType.GAUGE).row(0).element("m1", 1).row(300).element("m1", 2).row(1800).element("m1", 8).build();
ResultDescriptor rDescriptor = new ResultDescriptor().step(Duration.seconds(300)).datasource("m1", "m1", Duration.seconds(600), null);
// Expected results
Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(300).element("m1", 2).row(600).element("m1", Double.NaN).row(900).element("m1", Double.NaN).row(1200).element("m1", Double.NaN).row(1500).element("m1", Double.NaN).row(1800).element("m1", Double.NaN).build();
PrimaryData primaryData = new PrimaryData(new Resource("localhost"), Timestamp.fromEpochSeconds(300), Timestamp.fromEpochSeconds(1800), rDescriptor, testData);
assertRowsEqual(expected, primaryData);
}
use of org.opennms.newts.api.Results.Row in project newts by OpenNMS.
the class RateTest method test.
@Test
public void test() {
Results<Sample> input = new Results<>();
int rows = 10, cols = 2, rate = 100;
for (int i = 1; i <= rows; i++) {
Timestamp t = Timestamp.fromEpochMillis(i * 1000);
for (int j = 0; j < cols; j++) {
input.addElement(new Sample(t, m_resource, m_metrics[j], COUNTER, new Counter((i + j) * rate)));
}
}
Iterator<Results.Row<Sample>> output = new Rate(input.iterator(), getMetrics(cols)).iterator();
for (int i = 1; i <= rows; i++) {
assertTrue("Insufficient number of results", output.hasNext());
Results.Row<Sample> row = output.next();
assertEquals("Unexpected row timestamp", Timestamp.fromEpochMillis(i * 1000), row.getTimestamp());
assertEquals("Unexpected row resource", m_resource, row.getResource());
assertEquals("Unexpected number of columns", cols, row.getElements().size());
for (int j = 0; j < cols; j++) {
String name = m_metrics[j];
assertNotNull("Missing sample" + name, row.getElement(name));
assertEquals("Unexpected sample name", name, row.getElement(name).getName());
assertEquals("Unexpected sample type", GAUGE, row.getElement(name).getType());
// Samples in the first row are null, this is normal.
if (i != 1) {
assertEquals("Incorrect rate value", 100.0d, row.getElement(name).getValue().doubleValue(), 0.0d);
}
}
}
}
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