Merge pull request #421 from metamx/use-druid-hyperloglog

Use druid implementation of HyperLogLog
This commit is contained in:
fjy 2014-03-06 11:41:38 -07:00
commit 371c261038
2 changed files with 15 additions and 27 deletions

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@ -97,11 +97,6 @@
<artifactId>junit</artifactId> <artifactId>junit</artifactId>
<scope>test</scope> <scope>test</scope>
</dependency> </dependency>
<dependency>
<groupId>com.clearspring.analytics</groupId>
<artifactId>stream</artifactId>
<version>2.5.2</version>
</dependency>
</dependencies> </dependencies>
<build> <build>

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@ -19,8 +19,6 @@
package io.druid.indexer; package io.druid.indexer;
import com.clearspring.analytics.stream.cardinality.CardinalityMergeException;
import com.clearspring.analytics.stream.cardinality.HyperLogLog;
import com.fasterxml.jackson.core.type.TypeReference; import com.fasterxml.jackson.core.type.TypeReference;
import com.google.common.base.Optional; import com.google.common.base.Optional;
import com.google.common.base.Throwables; import com.google.common.base.Throwables;
@ -36,6 +34,7 @@ import io.druid.data.input.InputRow;
import io.druid.data.input.Rows; import io.druid.data.input.Rows;
import io.druid.granularity.QueryGranularity; import io.druid.granularity.QueryGranularity;
import io.druid.indexer.granularity.UniformGranularitySpec; import io.druid.indexer.granularity.UniformGranularitySpec;
import io.druid.query.aggregation.hyperloglog.HyperLogLogCollector;
import io.druid.timeline.partition.HashBasedNumberedShardSpec; import io.druid.timeline.partition.HashBasedNumberedShardSpec;
import io.druid.timeline.partition.NoneShardSpec; import io.druid.timeline.partition.NoneShardSpec;
import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configuration;
@ -56,6 +55,7 @@ import org.joda.time.Interval;
import java.io.IOException; import java.io.IOException;
import java.io.OutputStream; import java.io.OutputStream;
import java.nio.ByteBuffer;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Set; import java.util.Set;
@ -67,7 +67,6 @@ public class DetermineHashedPartitionsJob implements Jobby
{ {
private static final int MAX_SHARDS = 128; private static final int MAX_SHARDS = 128;
private static final Logger log = new Logger(DetermineHashedPartitionsJob.class); private static final Logger log = new Logger(DetermineHashedPartitionsJob.class);
private static final int HYPER_LOG_LOG_BIT_SIZE = 20;
private final HadoopDruidIndexerConfig config; private final HadoopDruidIndexerConfig config;
public DetermineHashedPartitionsJob( public DetermineHashedPartitionsJob(
@ -99,7 +98,7 @@ public class DetermineHashedPartitionsJob implements Jobby
groupByJob.setOutputKeyClass(NullWritable.class); groupByJob.setOutputKeyClass(NullWritable.class);
groupByJob.setOutputValueClass(NullWritable.class); groupByJob.setOutputValueClass(NullWritable.class);
groupByJob.setOutputFormatClass(SequenceFileOutputFormat.class); groupByJob.setOutputFormatClass(SequenceFileOutputFormat.class);
if(!config.getSegmentGranularIntervals().isPresent()){ if (!config.getSegmentGranularIntervals().isPresent()) {
groupByJob.setNumReduceTasks(1); groupByJob.setNumReduceTasks(1);
} }
JobHelper.setupClasspath(config, groupByJob); JobHelper.setupClasspath(config, groupByJob);
@ -194,7 +193,7 @@ public class DetermineHashedPartitionsJob implements Jobby
{ {
private static HashFunction hashFunction = Hashing.murmur3_128(); private static HashFunction hashFunction = Hashing.murmur3_128();
private QueryGranularity rollupGranularity = null; private QueryGranularity rollupGranularity = null;
private Map<Interval, HyperLogLog> hyperLogLogs; private Map<Interval, HyperLogLogCollector> hyperLogLogs;
private HadoopDruidIndexerConfig config; private HadoopDruidIndexerConfig config;
private boolean determineIntervals; private boolean determineIntervals;
@ -208,9 +207,9 @@ public class DetermineHashedPartitionsJob implements Jobby
Optional<Set<Interval>> intervals = config.getSegmentGranularIntervals(); Optional<Set<Interval>> intervals = config.getSegmentGranularIntervals();
if (intervals.isPresent()) { if (intervals.isPresent()) {
determineIntervals = false; determineIntervals = false;
final ImmutableMap.Builder<Interval, HyperLogLog> builder = ImmutableMap.builder(); final ImmutableMap.Builder<Interval, HyperLogLogCollector> builder = ImmutableMap.builder();
for (final Interval bucketInterval : intervals.get()) { for (final Interval bucketInterval : intervals.get()) {
builder.put(bucketInterval, new HyperLogLog(HYPER_LOG_LOG_BIT_SIZE)); builder.put(bucketInterval, HyperLogLogCollector.makeLatestCollector());
} }
hyperLogLogs = builder.build(); hyperLogLogs = builder.build();
} else { } else {
@ -236,7 +235,7 @@ public class DetermineHashedPartitionsJob implements Jobby
interval = config.getGranularitySpec().getGranularity().bucket(new DateTime(inputRow.getTimestampFromEpoch())); interval = config.getGranularitySpec().getGranularity().bucket(new DateTime(inputRow.getTimestampFromEpoch()));
if (!hyperLogLogs.containsKey(interval)) { if (!hyperLogLogs.containsKey(interval)) {
hyperLogLogs.put(interval, new HyperLogLog(HYPER_LOG_LOG_BIT_SIZE)); hyperLogLogs.put(interval, HyperLogLogCollector.makeLatestCollector());
} }
} else { } else {
final Optional<Interval> maybeInterval = config.getGranularitySpec() final Optional<Interval> maybeInterval = config.getGranularitySpec()
@ -248,9 +247,9 @@ public class DetermineHashedPartitionsJob implements Jobby
interval = maybeInterval.get(); interval = maybeInterval.get();
} }
hyperLogLogs.get(interval) hyperLogLogs.get(interval)
.offerHashed( .add(
hashFunction.hashBytes(HadoopDruidIndexerConfig.jsonMapper.writeValueAsBytes(groupKey)) hashFunction.hashBytes(HadoopDruidIndexerConfig.jsonMapper.writeValueAsBytes(groupKey))
.asLong() .asBytes()
); );
} }
@ -263,10 +262,10 @@ public class DetermineHashedPartitionsJob implements Jobby
map(context.getCurrentKey(), context.getCurrentValue(), context); map(context.getCurrentKey(), context.getCurrentValue(), context);
} }
for (Map.Entry<Interval, HyperLogLog> entry : hyperLogLogs.entrySet()) { for (Map.Entry<Interval, HyperLogLogCollector> entry : hyperLogLogs.entrySet()) {
context.write( context.write(
new LongWritable(entry.getKey().getStartMillis()), new LongWritable(entry.getKey().getStartMillis()),
new BytesWritable(entry.getValue().getBytes()) new BytesWritable(entry.getValue().toByteArray())
); );
} }
cleanup(context); cleanup(context);
@ -294,15 +293,9 @@ public class DetermineHashedPartitionsJob implements Jobby
Context context Context context
) throws IOException, InterruptedException ) throws IOException, InterruptedException
{ {
HyperLogLog aggregate = new HyperLogLog(HYPER_LOG_LOG_BIT_SIZE); HyperLogLogCollector aggregate = HyperLogLogCollector.makeLatestCollector();
for (BytesWritable value : values) { for (BytesWritable value : values) {
HyperLogLog logValue = HyperLogLog.Builder.build(getDataBytes(value)); aggregate.fold(ByteBuffer.wrap(value.getBytes(), 0, value.getLength()));
try {
aggregate.addAll(logValue);
}
catch (CardinalityMergeException e) {
e.printStackTrace(); // TODO: check for better handling
}
} }
Interval interval = config.getGranularitySpec().getGranularity().bucket(new DateTime(key.get())); Interval interval = config.getGranularitySpec().getGranularity().bucket(new DateTime(key.get()));
intervals.add(interval); intervals.add(interval);
@ -318,7 +311,7 @@ public class DetermineHashedPartitionsJob implements Jobby
} }
).writeValue( ).writeValue(
out, out,
aggregate.cardinality() new Double(aggregate.estimateCardinality()).longValue()
); );
} }
finally { finally {