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Use druid implementation of HyperLogLog 

remove dependency on clear spring analytics
This commit is contained in:
nishantmonu51 2014-03-07 00:06:40 +05:30
parent 6137c374a7
commit 4ec1959c30
2 changed files with 15 additions and 27 deletions
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5
indexing-hadoop/pom.xml
View File

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

37
indexing-hadoop/src/main/java/io/druid/indexer/DetermineHashedPartitionsJob.java
View File

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