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我的 kairos 客户端是用 Java 编写的。KairosDB 版本 1.1.3-1。

我有数据点：

t1 - 1000, v1 - 100

t2 - 2000, v2 - 200

t3 - 3000, v3 - 300

t4 - 4000, v4 - 500

我想产生一个输出，它将是这些点的插值，ts - 1500从tp - 1000. 所以输出应该是这样的（插值数据点）：

[1500,150],[2500,250],[3500,400]

可以用普通的kairos来做吗？我们是否有一个外部库

4

2 回答 2

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据我所知，Kairosdb 中没有线性插值聚合器。我已经能够在 GAPS 聚合器的帮助下编写一个。以下代码说明了基于您的值的采样和线性插值。Kairosdb 版本 1.1.3 和 Java 客户端版本 2.2.0。

import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Preconditions;
import com.google.common.collect.Range;
import org.apache.commons.collections.CollectionUtils;
import org.apache.commons.lang3.StringUtils;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.kairosdb.client.HttpClient;
import org.kairosdb.client.builder.*;
import org.kairosdb.client.builder.aggregator.SamplingAggregator;
import org.kairosdb.client.response.QueryResponse;
import org.kairosdb.client.response.Result;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import javax.annotation.Nonnull;
import java.io.IOException;
import java.net.MalformedURLException;
import java.net.URISyntaxException;
import java.time.Duration;
import java.time.Instant;
import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.time.temporal.ChronoUnit;
import java.util.*;

import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.core.Is.is;
import static org.hamcrest.number.IsCloseTo.closeTo;

public class KairosBulkLinearInterpolationTest {

    // constants
    private static final ZoneId UTC = ZoneId.of("UTC");
    private static final String dbUrl = "localhost";
    private static final String port = "8083";

    private static final Logger logger = LoggerFactory.getLogger(KairosBulkLinearInterpolationTest.class);

    private HttpClient client = null;
    private String metricName;

    @Before
    public void setUp() throws Exception {
        client = new HttpClient("http://" + dbUrl + ":" + port);

        metricName = "bulkInterpolationTest" + new Random().nextInt(10000);
        MetricBuilder metricBuilder = MetricBuilder.getInstance();
        Metric metric = metricBuilder.addMetric(metricName);
        metric.addTag("test", "test");
        metric.addDataPoint(1000000, 100);
        metric.addDataPoint(2000000, 200);
        metric.addDataPoint(3000000, 300);
        metric.addDataPoint(4000000, 500);

        client.pushMetrics(metricBuilder);
    }

    @Test
    public void bulkInterpolation() throws IOException, URISyntaxException {
        ZonedDateTime start = Instant.ofEpochMilli(1000000).atZone(UTC);
        Map<ZonedDateTime, Double> valuesMap = interpolationBulk(metricName, new HashMap<>(), Range.closed(start, start.plusSeconds(3500)),
                                                                 Duration.ofSeconds(500));
        Set<Map.Entry<ZonedDateTime, Double>> entries = valuesMap.entrySet();
        ArrayList<Map.Entry<ZonedDateTime, Double>> list = new ArrayList<>(entries);

        assertValueOf(list.get(0), 1000L, 100d);
        assertValueOf(list.get(1), 1500L, 150d);
        assertValueOf(list.get(2), 2000L, 200d);
        assertValueOf(list.get(3), 2500L, 250d);
        assertValueOf(list.get(4), 3000L, 300d);
        assertValueOf(list.get(5), 3500L, 400d);
        assertValueOf(list.get(6), 4000L, 500d);
    }

    protected void assertValueOf(Map.Entry<ZonedDateTime, Double> entry, long seconds, double value) {
        assertThat(entry.getKey().toEpochSecond(), is(seconds));
        assertThat(entry.getValue(), closeTo(value, 0d));
    }

    @After
    public void tearDown() throws Exception {
        client.deleteMetric(metricName);
        client.shutdown();
    }

    @VisibleForTesting
    protected Map<ZonedDateTime, Double> interpolationBulk(@Nonnull String metricName,
                                                           @Nonnull Map<String, String> tags,
                                                           @Nonnull Range<ZonedDateTime> inRange,
                                                           @Nonnull Duration samplingPeriod) throws MalformedURLException {
        Preconditions.checkNotNull(metricName, "Missing required parameter 'metricName'!");
        Preconditions.checkNotNull(tags, "Missing required parameter 'tags'!");
        Preconditions.checkNotNull(inRange, "Missing required parameter 'inRange'!");
        Preconditions.checkNotNull(samplingPeriod, "Missing required parameter 'samplingPeriod'!");

        // load the values in the given range
        QueryBuilder queryBuilder = QueryBuilder.getInstance();
        queryBuilder.addMetric(metricName).addTags(tags);
        QueryMetric queryMetric = queryBuilder.getMetrics().get(0);

        // first average all the given values - we are sampling, remember
        queryMetric.addAggregator(new SamplingAggregator("avg", (int) samplingPeriod.getSeconds(), TimeUnit.SECONDS));
        // and then mark the remaining with null
        queryMetric.addAggregator(new SamplingAggregator("gaps", (int) samplingPeriod.getSeconds(), TimeUnit.SECONDS));

        if (inRange.hasLowerBound()) {
            queryBuilder.setStart(new Date(inRange.lowerEndpoint().toInstant().toEpochMilli()));
        }
        if (inRange.hasUpperBound()) {
            queryBuilder.setEnd(new Date(inRange.upperEndpoint().toInstant().toEpochMilli()));
        }

        try {
            QueryResponse queryResponse = client.query(queryBuilder);
            List<String> errors = queryResponse.getErrors();
            if (!errors.isEmpty()) {
                logger.error("Error while querying Kairosb! " + StringUtils.join(errors));
                return new HashMap<>();
            }

            List<Result> results = queryResponse.getQueryResponse(metricName).getResults();
            TreeMap<ZonedDateTime, Double> valuesMap = new TreeMap<>();
            results.forEach(result -> {
                if (CollectionUtils.isNotEmpty(result.getDataPoints())) {
                    result.getDataPoints().forEach(dataPoint -> {
                        try {
                            valuesMap.put(Instant.ofEpochMilli(dataPoint.getTimestamp()).atZone(UTC), dataPoint.getValue() == null ? null : dataPoint.doubleValue());
                        } catch (DataFormatException dfe) {
                            logger.error("Data format exception while reading the Kairos database response!", dfe);
                        }
                    });
                }
            });

            TreeMap<ZonedDateTime, Double> overrideValues = new TreeMap<>();
            // fill the gaps
            valuesMap.entrySet().stream().filter(entry -> entry.getValue() == null).map(Map.Entry::getKey).forEach(gapTime -> {
                // we can trust the entries to be not-null here because we trust Kairosdb to mark the gaps with null. And a gap is exactly a point with a missing left and right side.
                Map.Entry<ZonedDateTime, Double> previous = valuesMap.floorEntry(gapTime.minus(1L, ChronoUnit.MILLIS));
                Map.Entry<ZonedDateTime, Double> next = valuesMap.ceilingEntry(gapTime.plus(1L, ChronoUnit.MILLIS));
                overrideValues.put(gapTime,
                                   Math.abs(next.getValue() + previous.getValue()) / 2);
            });
            overrideValues.forEach(valuesMap::put);
            return valuesMap;
        } catch (IOException ioex) {
            logger.error("I/O-Exception while querying the Kairos database!", ioex);
            return new TreeMap<>();

        } catch (URISyntaxException e) {
            logger.error("URISyntaxException while querying the Kairos database!", e);
            return new TreeMap<>();
        }

    }

}
于 2018-01-19T15:09:58.830 回答
0

不幸的是，kairosdb 没有线性插值聚合器。也没有任何带有1.1.3-1版本的外部工作库。

唯一的方法是编写自己的聚合器并将其作为插件添加到 kairos 实例。

于 2018-01-27T10:09:50.417 回答