mirror of https://github.com/apache/druid.git
Druid Fireshose
Add druidFirehose, can be used to reIndex filtered data from a datasource
This commit is contained in:
parent
94ac9645ed
commit
1de390801f
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@ -24,8 +24,9 @@ import com.fasterxml.jackson.databind.jsontype.NamedType;
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import com.fasterxml.jackson.databind.module.SimpleModule;
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import com.fasterxml.jackson.databind.module.SimpleModule;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableList;
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import com.google.inject.Binder;
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import com.google.inject.Binder;
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import io.druid.segment.realtime.firehose.EventReceiverFirehoseFactory;
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import io.druid.indexing.firehose.DruidFirehoseFactory;
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import io.druid.initialization.DruidModule;
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import io.druid.initialization.DruidModule;
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import io.druid.segment.realtime.firehose.EventReceiverFirehoseFactory;
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import java.util.List;
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import java.util.List;
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@ -37,7 +38,8 @@ public class IndexingServiceFirehoseModule implements DruidModule
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return ImmutableList.<Module>of(
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return ImmutableList.<Module>of(
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new SimpleModule("IndexingServiceFirehoseModule")
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new SimpleModule("IndexingServiceFirehoseModule")
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.registerSubtypes(
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.registerSubtypes(
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new NamedType(EventReceiverFirehoseFactory.class, "receiver")
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new NamedType(EventReceiverFirehoseFactory.class, "receiver"),
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new NamedType(DruidFirehoseFactory.class, "druid")
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)
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)
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);
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);
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}
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}
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@ -0,0 +1,352 @@
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/*
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* Druid - a distributed column store.
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* Copyright (C) 2012, 2013, 2014 Metamarkets Group Inc.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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package io.druid.indexing.firehose;
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import com.fasterxml.jackson.annotation.JacksonInject;
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import com.fasterxml.jackson.annotation.JsonCreator;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import com.google.api.client.repackaged.com.google.common.base.Throwables;
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import com.google.common.base.Function;
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import com.google.common.base.Preconditions;
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import com.google.common.collect.Iterables;
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import com.google.common.collect.Lists;
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import com.google.common.collect.Maps;
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import com.google.common.collect.Ordering;
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import com.google.inject.Injector;
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import com.metamx.common.guava.Sequence;
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import com.metamx.common.guava.Sequences;
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import com.metamx.common.guava.Yielder;
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import com.metamx.common.guava.YieldingAccumulator;
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import com.metamx.common.parsers.ParseException;
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import com.metamx.emitter.EmittingLogger;
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import io.druid.data.input.Firehose;
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import io.druid.data.input.FirehoseFactory;
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import io.druid.data.input.InputRow;
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import io.druid.data.input.MapBasedInputRow;
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import io.druid.data.input.impl.InputRowParser;
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import io.druid.granularity.QueryGranularity;
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import io.druid.indexing.common.TaskToolbox;
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import io.druid.indexing.common.TaskToolboxFactory;
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import io.druid.indexing.common.actions.SegmentListUsedAction;
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import io.druid.indexing.common.task.NoopTask;
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import io.druid.query.filter.DimFilter;
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import io.druid.query.select.EventHolder;
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import io.druid.segment.Cursor;
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import io.druid.segment.DimensionSelector;
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import io.druid.segment.IndexIO;
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import io.druid.segment.ObjectColumnSelector;
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import io.druid.segment.QueryableIndexStorageAdapter;
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import io.druid.segment.StorageAdapter;
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import io.druid.segment.TimestampColumnSelector;
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import io.druid.segment.data.IndexedInts;
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import io.druid.segment.filter.Filters;
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import io.druid.segment.loading.SegmentLoadingException;
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import io.druid.timeline.DataSegment;
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import io.druid.timeline.TimelineObjectHolder;
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import io.druid.timeline.VersionedIntervalTimeline;
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import org.joda.time.DateTime;
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import org.joda.time.Interval;
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import javax.annotation.Nullable;
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import java.io.File;
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import java.io.IOException;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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public class DruidFirehoseFactory implements FirehoseFactory<InputRowParser>
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{
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private static final EmittingLogger log = new EmittingLogger(DruidFirehoseFactory.class);
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private final String dataSource;
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private final Interval interval;
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private final DimFilter dimFilter;
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private final List<String> dimensions;
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private final List<String> metrics;
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private final Injector injector;
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@JsonCreator
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public DruidFirehoseFactory(
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@JsonProperty("dataSource") final String dataSource,
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@JsonProperty("interval") Interval interval,
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@JsonProperty("filter") DimFilter dimFilter,
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@JsonProperty("dimensions") List<String> dimensions,
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@JsonProperty("metrics") List<String> metrics,
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@JacksonInject Injector injector
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)
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{
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Preconditions.checkNotNull(dataSource, "dataSource");
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Preconditions.checkNotNull(interval, "interval");
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this.dataSource = dataSource;
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this.interval = interval;
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this.dimFilter = dimFilter;
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this.dimensions = dimensions;
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this.metrics = metrics;
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this.injector = injector;
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}
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@JsonProperty
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public String getDataSource()
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{
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return dataSource;
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}
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@JsonProperty
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public Interval getInterval()
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{
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return interval;
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}
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@JsonProperty("filter")
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public DimFilter getDimensionsFilter()
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{
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return dimFilter;
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}
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@JsonProperty
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public List<String> getDimensions()
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{
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return dimensions;
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}
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@JsonProperty
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public List<String> getMetrics()
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{
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return metrics;
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}
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@Override
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public Firehose connect(InputRowParser inputRowParser) throws IOException, ParseException
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{
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log.info("Connecting firehose: DruidFirehose[%s,%s]", dataSource, interval);
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// TODO: have a way to pass the toolbox to Firehose, The instance is initialized Lazily on connect method.
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final TaskToolbox toolbox = injector.getInstance(TaskToolboxFactory.class).build(
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new NoopTask(
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"druid-firehose",
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0,
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0,
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null,
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null
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)
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);
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try {
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final List<DataSegment> usedSegments = toolbox
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.getTaskActionClient()
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.submit(new SegmentListUsedAction(dataSource, interval));
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final Map<DataSegment, File> segmentFileMap = toolbox.fetchSegments(usedSegments);
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VersionedIntervalTimeline<String, DataSegment> timeline = new VersionedIntervalTimeline<String, DataSegment>(
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Ordering.<String>natural().nullsFirst()
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);
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for (DataSegment segment : usedSegments) {
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timeline.add(segment.getInterval(), segment.getVersion(), segment.getShardSpec().createChunk(segment));
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}
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List<String> dims;
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if (dimensions != null) {
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dims = dimensions;
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} else {
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Set<String> dimSet = new HashSet<>();
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for (DataSegment segment : usedSegments) {
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dimSet.addAll(segment.getDimensions());
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}
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dims = Lists.newArrayList(dimSet);
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}
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List<String> metricsList;
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if (metrics != null) {
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metricsList = metrics;
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} else {
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Set<String> metricsSet = new HashSet<>();
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for (DataSegment segment : usedSegments) {
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metricsSet.addAll(segment.getMetrics());
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}
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metricsList = Lists.newArrayList(metricsSet);
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}
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final List<StorageAdapter> adapters = Lists.transform(
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timeline.lookup(new Interval("1000-01-01/3000-01-01")),
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new Function<TimelineObjectHolder<String, DataSegment>, StorageAdapter>()
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{
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@Override
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public StorageAdapter apply(TimelineObjectHolder<String, DataSegment> input)
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{
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final DataSegment segment = input.getObject().getChunk(0).getObject();
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final File file = Preconditions.checkNotNull(
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segmentFileMap.get(segment),
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"File for segment %s", segment.getIdentifier()
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);
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try {
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return new QueryableIndexStorageAdapter((IndexIO.loadIndex(file)));
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}
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catch (IOException e) {
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throw Throwables.propagate(e);
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}
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}
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}
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);
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return new DruidFirehose(adapters, dims, metricsList);
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}
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catch (IOException e) {
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throw Throwables.propagate(e);
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}
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catch (SegmentLoadingException e) {
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throw Throwables.propagate(e);
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}
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}
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@Override
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public InputRowParser getParser()
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{
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return null;
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}
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public class DruidFirehose implements Firehose
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{
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private volatile Yielder<InputRow> rowYielder;
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public DruidFirehose(List<StorageAdapter> adapters, final List<String> dims, final List<String> metrics)
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{
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Sequence<InputRow> rows = Sequences.concat(
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Iterables.transform(
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adapters, new Function<StorageAdapter, Sequence<InputRow>>()
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{
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@Nullable
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@Override
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public Sequence<InputRow> apply(@Nullable StorageAdapter input)
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{
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return Sequences.concat(
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Sequences.map(
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input.makeCursors(
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Filters.convertDimensionFilters(dimFilter),
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interval,
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QueryGranularity.ALL
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), new Function<Cursor, Sequence<InputRow>>()
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{
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@Nullable
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@Override
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public Sequence<InputRow> apply(@Nullable Cursor input)
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{
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TimestampColumnSelector timestampColumnSelector = input.makeTimestampColumnSelector();
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Map<String, DimensionSelector> dimSelectors = Maps.newHashMap();
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for (String dim : dims) {
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final DimensionSelector dimSelector = input.makeDimensionSelector(dim);
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dimSelectors.put(dim, dimSelector);
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}
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Map<String, ObjectColumnSelector> metSelectors = Maps.newHashMap();
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for (String metric : metrics) {
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final ObjectColumnSelector metricSelector = input.makeObjectColumnSelector(metric);
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metSelectors.put(metric, metricSelector);
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}
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List<InputRow> rowList = Lists.newArrayList();
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while (!input.isDone()) {
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final Map<String, Object> theEvent = Maps.newLinkedHashMap();
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final long timestamp = timestampColumnSelector.getTimestamp();
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theEvent.put(EventHolder.timestampKey, new DateTime(timestamp));
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for (Map.Entry<String, DimensionSelector> dimSelector : dimSelectors.entrySet()) {
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final String dim = dimSelector.getKey();
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final DimensionSelector selector = dimSelector.getValue();
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final IndexedInts vals = selector.getRow();
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if (vals.size() == 1) {
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final String dimVal = selector.lookupName(vals.get(0));
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theEvent.put(dim, dimVal);
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} else {
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List<String> dimVals = Lists.newArrayList();
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for (int i = 0; i < vals.size(); ++i) {
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dimVals.add(selector.lookupName(vals.get(i)));
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}
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theEvent.put(dim, dimVals);
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}
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}
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for (Map.Entry<String, ObjectColumnSelector> metSelector : metSelectors.entrySet()) {
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final String metric = metSelector.getKey();
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final ObjectColumnSelector selector = metSelector.getValue();
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theEvent.put(metric, selector.get());
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}
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rowList.add(new MapBasedInputRow(timestamp, dims, theEvent));
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input.advance();
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}
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return Sequences.simple(rowList);
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}
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}
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)
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);
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}
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}
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)
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);
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rowYielder = rows.toYielder(
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null,
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new YieldingAccumulator()
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{
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@Override
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public Object accumulate(Object accumulated, Object in)
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{
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yield();
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return in;
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}
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}
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);
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}
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@Override
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public boolean hasMore()
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{
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return !rowYielder.isDone();
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}
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@Override
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public InputRow nextRow()
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{
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final InputRow inputRow = rowYielder.get();
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rowYielder = rowYielder.next(null);
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return inputRow;
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}
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@Override
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public Runnable commit()
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{
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return new Runnable()
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{
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@Override
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public void run()
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{
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// Nothing to do.
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}
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};
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}
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@Override
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public void close() throws IOException
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{
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rowYielder.close();
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}
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}
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}
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