use of org.opennms.newts.api.Resource in project newts by OpenNMS.
the class GraphiteHandler method parseSample.
static Sample parseSample(String line) {
List<String> parts = s_lineTokenizer.splitToList(line);
String[] path = s_pathTokenizer.splitToList(parts.get(0)).toArray(new String[] {});
Resource resource = parseResource(path.length > 1 ? Arrays.copyOf(path, path.length - 1) : path);
String name = path.length > 1 ? path[path.length - 1] : "value";
Double value = Double.parseDouble(parts.get(1));
Long stamp = Long.parseLong(parts.get(2));
return sample(fromEpochSeconds(stamp), resource, name, value);
}
use of org.opennms.newts.api.Resource in project newts by OpenNMS.
the class ResultSerializationTest method testSearchResults.
@Test
public void testSearchResults() throws JsonProcessingException {
SearchResults results = new SearchResults();
results.addResult(new Resource("localhost"), Lists.newArrayList("beer", "sausages"));
String json = "[" + " {" + " \"resource\": {" + " \"id\":\"localhost\"," + " \"attributes\":{}" + " }," + " \"metrics\":[" + " \"beer\"," + " \"sausages\"" + " ]" + " }" + "]";
assertThat(new ObjectMapper().writeValueAsString(Transform.searchResultDTOs(results)), is(normalize(json)));
}
use of org.opennms.newts.api.Resource in project newts by OpenNMS.
the class InsertSelectMeasurementsITCase method testWithAbsolute.
@Test
public void testWithAbsolute() {
Iterator<Row<Sample>> testSamples = new SampleRowsBuilder(new Resource("localhost"), MetricType.ABSOLUTE).row(900000000).element("mAbsolute", // Thu Jul 9 11:00:00 CDT 1998
300).row(900000300).element("mAbsolute", 300).row(900000600).element("mAbsolute", 300).row(900000900).element("mAbsolute", 300).row(900001200).element("mAbsolute", 300).row(900001500).element("mAbsolute", 300).row(900001800).element("mAbsolute", 300, mapFor("a", "1")).row(900002100).element("mAbsolute", 300).row(900002400).element("mAbsolute", 300, mapFor("b", "2")).row(900002700).element("mAbsolute", 300).row(900003000).element("mAbsolute", 300).row(900003300).element("mAbsolute", 300).row(900003600).element("mAbsolute", 300).row(900003900).element("mAbsolute", 300).row(900004200).element("mAbsolute", 300).row(900004500).element("mAbsolute", 300).row(900004800).element("mAbsolute", 300).row(900005100).element("mAbsolute", 300, mapFor("c", "3")).row(900005400).element("mAbsolute", 300).row(900005700).element("mAbsolute", 300, mapFor("d", "4")).row(900006000).element("mAbsolute", 300).row(900006300).element("mAbsolute", 300).row(900006600).element("mAbsolute", 300).row(900006900).element("mAbsolute", 300).row(900007200).element("mAbsolute", // Thu Jul 9 13:00:00 CDT 1998
300).build();
ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("mAbsolute-avg", "mAbsolute", Duration.seconds(600), AVERAGE).export("mAbsolute-avg");
Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(900003600).element("mAbsolute-avg", 1).row(900007200).element("mAbsolute-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("mAbsolute-avg"), mapFor("a", "1", "b", "2"));
assertAttributes(rows.next().getElement("mAbsolute-avg"), mapFor("c", "3", "d", "4"));
}
use of org.opennms.newts.api.Resource 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.Resource 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"));
}
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