Examples with Stat io.confluent.ksql.metrics.TopicSensors.Stat used on opensource projects

Example 1 with Stat

use of io.confluent.ksql.metrics.TopicSensors.Stat in project ksql by confluentinc.

the class Console method printStatistics.

private void printStatistics(final SourceDescription source) {
    final List<QueryHostStat> statistics = source.getClusterStatistics();
    final List<QueryHostStat> errors = source.getClusterErrorStats();
    if (statistics.isEmpty() && errors.isEmpty()) {
        writer().println(String.format("%n%-20s%n%s", "Local runtime statistics", "------------------------"));
        writer().println(source.getStatistics());
        writer().println(source.getErrorStats());
        return;
    }
    final List<String> headers = ImmutableList.of("Host", "Metric", "Value", "Last Message");
    final Stream<QueryHostStat> rows = Streams.concat(statistics.stream(), errors.stream());
    writer().println(String.format("%n%-20s%n%s", "Runtime statistics by host", "-------------------------"));
    final Table statsTable = new Table.Builder().withColumnHeaders(headers).withRows(rows.sorted(Comparator.comparing(QueryHostStat::host).thenComparing(Stat::name)).map((metric) -> {
        final String hostCell = metric.host().toString();
        final String formattedValue = String.format("%10.0f", metric.getValue());
        return ImmutableList.of(hostCell, metric.name(), formattedValue, metric.timestamp());
    })).build();
    statsTable.print(this);
}

Example 2 with Stat

use of io.confluent.ksql.metrics.TopicSensors.Stat in project ksql by confluentinc.

the class ConsoleTest method buildSourceDescription.

private SourceDescription buildSourceDescription(final List<RunningQuery> readQueries, final List<RunningQuery> writeQueries, final List<FieldInfo> fields, final boolean withClusterStats) {
    final Stat STAT = new Stat("TEST", 0, 1596644936314L);
    final Stat ERROR_STAT = new Stat("ERROR", 0, 1596644936314L);
    List<QueryHostStat> statistics = IntStream.range(1, 5).boxed().map((i) -> new KsqlHostInfoEntity("host" + i, 8000 + i)).map((host) -> QueryHostStat.fromStat(STAT, host)).collect(Collectors.toList());
    List<QueryHostStat> errors = IntStream.range(1, 5).boxed().map((i) -> new KsqlHostInfoEntity("host" + i, 8000 + i)).map((host) -> QueryHostStat.fromStat(ERROR_STAT, host)).collect(Collectors.toList());
    return new SourceDescription("TestSource", Optional.empty(), readQueries, writeQueries, fields, DataSourceType.KTABLE.getKsqlType(), "2000-01-01", "stats", "errors", true, "kafka", "avro", "kafka-topic", 1, 1, "sql statement", Collections.emptyList(), Collections.emptyList(), withClusterStats ? statistics : ImmutableList.of(), withClusterStats ? errors : ImmutableList.of());
}

Example 3 with Stat

use of io.confluent.ksql.metrics.TopicSensors.Stat in project ksql by confluentinc.

the class TopicSensorsTest method shouldFormatTimestampInUnambiguousFormatAndUTC.

@Test
public void shouldFormatTimestampInUnambiguousFormatAndUTC() {
    // Given:
    final Stat stat = new Stat("stat", 5.0, 1538842403035L);
    // When:
    final String timestamp = stat.timestamp();
    // Then:
    assertThat(timestamp, is("2018-10-06T16:13:23.035Z"));
}