提交 28e31915 编写于 作者: G Gian Merlino

Merge pull request #699 from metamx/postprocessing-operators

query post-processing operators
/*
* Druid - a distributed column store.
* Copyright (C) 2014 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package io.druid.query;
import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
@JsonTypeInfo(use = JsonTypeInfo.Id.NAME, property = "type")
@JsonSubTypes(value = {
@JsonSubTypes.Type(name = "timewarp", value = TimewarpOperator.class)
})
public interface PostProcessingOperator<T>
{
public QueryRunner<T> postProcess(QueryRunner<T> baseQueryRunner);
}
/*
* Druid - a distributed column store.
* Copyright (C) 2014 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package io.druid.query;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.base.Function;
import com.google.common.collect.ImmutableMap;
import com.metamx.common.guava.Sequence;
import com.metamx.common.guava.Sequences;
import io.druid.data.input.MapBasedRow;
import io.druid.query.spec.MultipleIntervalSegmentSpec;
import io.druid.query.timeboundary.TimeBoundaryQuery;
import io.druid.query.timeboundary.TimeBoundaryResultValue;
import org.joda.time.DateTime;
import org.joda.time.Interval;
import org.joda.time.Period;
import java.util.Arrays;
/**
* TimewarpOperator is an example post-processing operator that maps current time
* to the latest period ending withing the specified data interval and truncates
* the query interval to discard data that would be mapped to the future.
*
*/
public class TimewarpOperator<T> implements PostProcessingOperator<T>
{
private final Interval dataInterval;
private final long periodMillis;
private final long originMillis;
/**
*
* @param dataInterval interval containing the actual data
* @param period time will be offset by a multiple of the given period
* until there is at least a full period ending within the data interval
* @param origin origin to be used to align time periods
* (e.g. to determine on what day of the week a weekly period starts)
*/
@JsonCreator
public TimewarpOperator(
@JsonProperty("dataInterval") Interval dataInterval,
@JsonProperty("period") Period period,
@JsonProperty("origin") DateTime origin
)
{
this.originMillis = origin.getMillis();
this.dataInterval = dataInterval;
// this will fail for periods that do not map to millis (e.g. P1M)
this.periodMillis = period.toStandardDuration().getMillis();
}
@Override
public QueryRunner<T> postProcess(QueryRunner<T> baseQueryRunner)
{
return postProcess(baseQueryRunner, DateTime.now().getMillis());
}
public QueryRunner<T> postProcess(final QueryRunner<T> baseRunner, final long now)
{
return new QueryRunner<T>()
{
@Override
public Sequence<T> run(Query<T> query)
{
final long offset = computeOffset(now);
final Interval interval = query.getIntervals().get(0);
final Interval modifiedInterval = new Interval(
interval.getStartMillis() + offset,
Math.min(interval.getEndMillis() + offset, now + offset)
);
return Sequences.map(
baseRunner.run(
query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Arrays.asList(modifiedInterval)))
),
new Function<T, T>()
{
@Override
public T apply(T input)
{
if (input instanceof Result) {
Result res = (Result) input;
Object value = res.getValue();
if (value instanceof TimeBoundaryResultValue) {
TimeBoundaryResultValue boundary = (TimeBoundaryResultValue) value;
value = new TimeBoundaryResultValue(
ImmutableMap.of(
TimeBoundaryQuery.MIN_TIME, boundary.getMinTime().minus(offset),
TimeBoundaryQuery.MAX_TIME, new DateTime(Math.min(boundary.getMaxTime().getMillis() - offset, now))
)
);
}
return (T) new Result(res.getTimestamp().minus(offset), value);
} else if (input instanceof MapBasedRow) {
MapBasedRow row = (MapBasedRow) input;
return (T) new MapBasedRow(row.getTimestamp().minus(offset), row.getEvent());
}
// default to noop for unknown result types
return input;
}
}
);
}
};
}
/**
* Map time t into the last `period` ending within `dataInterval`
*
* @param t
* @return the offset between the mapped time and time t
*/
protected long computeOffset(final long t)
{
// start is the beginning of the last period ending within dataInterval
long start = dataInterval.getEndMillis() - periodMillis;
long startOffset = start % periodMillis - originMillis % periodMillis;
if(startOffset < 0) {
startOffset += periodMillis;
};
start -= startOffset;
// tOffset is the offset time t within the last period
long tOffset = t % periodMillis - originMillis % periodMillis;
if(tOffset < 0) {
tOffset += periodMillis;
}
tOffset += start;
return tOffset - t;
}
}
/*
* Druid - a distributed column store.
* Copyright (C) 2012, 2013, 2014 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package io.druid.query;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Lists;
import com.metamx.common.guava.Sequence;
import com.metamx.common.guava.Sequences;
import io.druid.query.aggregation.AggregatorFactory;
import io.druid.query.aggregation.CountAggregatorFactory;
import io.druid.query.timeseries.TimeseriesResultValue;
import org.joda.time.DateTime;
import org.joda.time.Interval;
import org.joda.time.Period;
import org.junit.Assert;
import org.junit.Test;
import java.util.Arrays;
public class TimewarpOperatorTest
{
TimewarpOperator<Result<TimeseriesResultValue>> testOperator = new TimewarpOperator<>(
new Interval(new DateTime("2014-01-01"), new DateTime("2014-01-15")),
new Period("P1W"),
new DateTime("2014-01-06") // align on Monday
);
@Test
public void testComputeOffset() throws Exception
{
{
final DateTime t = new DateTime("2014-01-23");
final DateTime tOffset = new DateTime("2014-01-09");
Assert.assertEquals(
new DateTime(tOffset),
t.plus(testOperator.computeOffset(t.getMillis()))
);
}
{
final DateTime t = new DateTime("2014-08-02");
final DateTime tOffset = new DateTime("2014-01-11");
Assert.assertEquals(
new DateTime(tOffset),
t.plus(testOperator.computeOffset(t.getMillis()))
);
}
}
@Test
public void testPostProcess() throws Exception
{
QueryRunner<Result<TimeseriesResultValue>> queryRunner = testOperator.postProcess(
new QueryRunner<Result<TimeseriesResultValue>>()
{
@Override
public Sequence<Result<TimeseriesResultValue>> run(Query<Result<TimeseriesResultValue>> query)
{
return Sequences.simple(
ImmutableList.of(
new Result<>(
new DateTime(new DateTime("2014-01-09")),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
),
new Result<>(
new DateTime(new DateTime("2014-01-11")),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
),
new Result<>(
query.getIntervals().get(0).getEnd(),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5))
)
)
);
}
},
new DateTime("2014-08-02").getMillis()
);
final Query<Result<TimeseriesResultValue>> query =
Druids.newTimeseriesQueryBuilder()
.dataSource("dummy")
.intervals("2014-07-31/2014-08-05")
.aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count")))
.build();
Assert.assertEquals(
Lists.newArrayList(
new Result<>(
new DateTime("2014-07-31"),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
),
new Result<>(
new DateTime("2014-08-02"),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
),
new Result<>(
new DateTime("2014-08-02"),
new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5))
)
),
Sequences.toList(queryRunner.run(query), Lists.<Result<TimeseriesResultValue>>newArrayList())
);
}
}
......@@ -19,6 +19,8 @@
package io.druid.server;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.base.Function;
import com.google.inject.Inject;
import com.metamx.emitter.service.ServiceEmitter;
......@@ -26,6 +28,7 @@ import com.metamx.emitter.service.ServiceMetricEvent;
import io.druid.client.CachingClusteredClient;
import io.druid.query.FinalizeResultsQueryRunner;
import io.druid.query.MetricsEmittingQueryRunner;
import io.druid.query.PostProcessingOperator;
import io.druid.query.Query;
import io.druid.query.QueryRunner;
import io.druid.query.QuerySegmentWalker;
......@@ -44,17 +47,20 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
private final ServiceEmitter emitter;
private final CachingClusteredClient baseClient;
private final QueryToolChestWarehouse warehouse;
private final ObjectMapper objectMapper;
@Inject
public ClientQuerySegmentWalker(
ServiceEmitter emitter,
CachingClusteredClient baseClient,
QueryToolChestWarehouse warehouse
QueryToolChestWarehouse warehouse,
ObjectMapper objectMapper
)
{
this.emitter = emitter;
this.baseClient = baseClient;
this.warehouse = warehouse;
this.objectMapper = objectMapper;
}
@Override
......@@ -69,10 +75,10 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
return makeRunner(query);
}
private <T> FinalizeResultsQueryRunner<T> makeRunner(final Query<T> query)
private <T> QueryRunner<T> makeRunner(final Query<T> query)
{
final QueryToolChest<T, Query<T>> toolChest = warehouse.getToolChest(query);
return new FinalizeResultsQueryRunner<T>(
final FinalizeResultsQueryRunner<T> baseRunner = new FinalizeResultsQueryRunner<T>(
toolChest.postMergeQueryDecoration(
toolChest.mergeResults(
new UnionQueryRunner<T>(
......@@ -94,5 +100,15 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
),
toolChest
);
final PostProcessingOperator<T> postProcessing = objectMapper.convertValue(
query.getContext().get("postProcessing"),
new TypeReference<PostProcessingOperator<T>>() {
}
);
return postProcessing != null ?
postProcessing.postProcess(baseRunner) : baseRunner;
}
}
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