Examples with ResultDescriptor org.opennms.newts.api.query.ResultDescriptor used on opensource projects

Example 16 with ResultDescriptor

use of org.opennms.newts.api.query.ResultDescriptor in project newts by OpenNMS.

the class ResultProcessorTest method testCounterRate.

@Test
public void testCounterRate() {
    Iterator<Row<Sample>> testData = new SampleRowsBuilder(new Resource("localhost"), MetricType.COUNTER).row(900000000).element("m0", // Thu Jul  9 11:00:00 CDT 1998
    3000).row(900000300).element("m0", 6000).row(900000600).element("m0", 9000).row(900000900).element("m0", 12000).row(900001200).element("m0", 15000).row(900001500).element("m0", 18000).row(900001800).element("m0", 21000).row(900002100).element("m0", 24000).row(900002400).element("m0", 27000).row(900002700).element("m0", 30000).row(900003000).element("m0", 33000).row(900003300).element("m0", 36000).row(900003600).element("m0", 39000).row(900003900).element("m0", 42000).row(900004200).element("m0", 45000).row(900004500).element("m0", 48000).row(900004800).element("m0", 51000).row(900005100).element("m0", 54000).row(900005400).element("m0", 57000).row(900005700).element("m0", 60000).row(900006000).element("m0", 63000).row(900006300).element("m0", 66000).row(900006600).element("m0", 69000).row(900006900).element("m0", 72000).row(900007200).element("m0", // Thu Jul  9 13:00:00 CDT 1998
    75000).build();
    ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("m0", AVERAGE).export("m0");
    Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(900003600).element("m0", 10.0).row(900007200).element("m0", 10.0).build();
    ResultProcessor processor = new ResultProcessor(new Resource("localhost"), Timestamp.fromEpochSeconds(900003600), Timestamp.fromEpochSeconds(900007200), rDescriptor, Duration.minutes(60));
    assertRowsEqual(expected, processor.process(testData).iterator());
}

Example 17 with ResultDescriptor

use of org.opennms.newts.api.query.ResultDescriptor in project newts by OpenNMS.

the class AggregationAttributesTest method test.

@Test
public void test() {
    Iterator<Row<Measurement>> testData = new MeasurementRowsBuilder(new Resource("localhost")).row(1).element("m0", 1, mapFor("a", "1")).row(300).element("m0", 1).row(600).element("m0", 1).row(900).element("m0", 1).row(1200).element("m0", 1).row(1500).element("m0", 1).row(1800).element("m0", 3, mapFor("b", "1")).row(2100).element("m0", 3).row(2400).element("m0", 3, mapFor("a", "2")).row(2700).element("m0", 3).row(3000).element("m0", 3).row(3300).element("m0", 3).build();
    ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("m0-avg", "m0", Duration.seconds(600), AVERAGE).datasource("m0-min", "m0", Duration.seconds(600), MIN).datasource("m0-max", "m0", Duration.seconds(600), MAX);
    Aggregation aggregation = new Aggregation(new Resource("localhost"), Timestamp.fromEpochSeconds(1), Timestamp.fromEpochSeconds(3300), rDescriptor, Duration.minutes(60), testData);
    Row<Measurement> row = aggregation.next();
    assertThat(row.getTimestamp(), equalTo(fromEpochSeconds(0)));
    assertThat(row.getElement("m0-avg").getAttributes(), nullValue());
    row = aggregation.next();
    assertThat(row.getTimestamp(), equalTo(fromEpochSeconds(3600)));
    assertAttributes(row.getElement("m0-avg"), mapFor("a", "2", "b", "1"));
}

Example 18 with ResultDescriptor

use of org.opennms.newts.api.query.ResultDescriptor in project newts by OpenNMS.

the class AggregationTest method test.

@Test
public void test() {
    Iterator<Row<Measurement>> testData = new MeasurementRowsBuilder(new Resource("localhost")).row(1).element("m0", 1).row(300).element("m0", 1).row(600).element("m0", 1).row(900).element("m0", 1).row(1200).element("m0", 1).row(1500).element("m0", 1).row(1800).element("m0", 3).row(2100).element("m0", 3).row(2400).element("m0", 3).row(2700).element("m0", 3).row(3000).element("m0", 3).row(3300).element("m0", 3).build();
    ResultDescriptor rDescriptor = new ResultDescriptor(Duration.seconds(300)).datasource("m0-avg", "m0", Duration.seconds(600), AVERAGE).datasource("m0-min", "m0", Duration.seconds(600), MIN).datasource("m0-max", "m0", Duration.seconds(600), MAX);
    Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(0).element("m0-avg", NaN).element("m0-min", NaN).element("m0-max", NaN).row(3600).element("m0-avg", 2).element("m0-min", 1).element("m0-max", 3).build();
    Aggregation aggregation = new Aggregation(new Resource("localhost"), Timestamp.fromEpochSeconds(1), Timestamp.fromEpochSeconds(3300), rDescriptor, Duration.minutes(60), testData);
    assertRowsEqual(expected, aggregation);
}

Example 19 with ResultDescriptor

use of org.opennms.newts.api.query.ResultDescriptor in project newts by OpenNMS.

the class ComputeTest method testCalcOfCalc.

@Test
public void testCalcOfCalc() {
    Iterator<Row<Measurement>> testData = new MeasurementRowsBuilder(new Resource("localhost")).row(300).element("in", 20).element("out", 20).row(600).element("in", 60).element("out", 40).build();
    ResultDescriptor rDescriptor = new ResultDescriptor().datasource("in", AVERAGE).datasource("out", AVERAGE).calculate("sum", PLUS, "in", "out").calculate("tens", DIVIDE, "sum", "10").export("tens");
    Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(300).element("in", 20).element("out", 20).element("sum", 40).element("tens", 4).row(600).element("in", 60).element("out", 40).element("sum", 100).element("tens", 10).build();
    Compute compute = new Compute(rDescriptor, testData);
    assertRowsEqual(expected, compute);
}

Example 20 with ResultDescriptor

use of org.opennms.newts.api.query.ResultDescriptor in project newts by OpenNMS.

the class ComputeTest method testExpressions.

@Test
public void testExpressions() {
    Iterator<Row<Measurement>> testData = new MeasurementRowsBuilder(new Resource("localhost")).row(300).element("in", 20).element("out", 20).row(600).element("in", 60).element("out", 40).build();
    ResultDescriptor rDescriptor = new ResultDescriptor().datasource("in", "ifInOctets", seconds(600), AVERAGE).datasource("out", "ifOutOctets", seconds(600), AVERAGE).expression("sum", "in + out").expression("diff", "in - out").expression("ratio", "diff/sum").export("ratio");
    Iterator<Row<Measurement>> expected = new MeasurementRowsBuilder(new Resource("localhost")).row(300).element("in", 20).element("out", 20).element("sum", 40).element("diff", 0).element("ratio", 0).row(600).element("in", 60).element("out", 40).element("sum", 100).element("diff", 20).element("ratio", 0.2).build();
    Compute compute = new Compute(rDescriptor, testData);
    assertRowsEqual(expected, compute);
}