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From rmetzger <...@git.apache.org>
Subject [GitHub] flink pull request: [FLINK-1297] Added OperatorStatsAccumulator fo...
Date Fri, 17 Apr 2015 07:56:10 GMT
Github user rmetzger commented on a diff in the pull request:

    https://github.com/apache/flink/pull/605#discussion_r28575964
  
    --- Diff: flink-core/src/main/java/org/apache/flink/statistics/OperatorStatistics.java
---
    @@ -0,0 +1,154 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + *     http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.statistics;
    +
    +import com.clearspring.analytics.stream.cardinality.CardinalityMergeException;
    +import com.clearspring.analytics.stream.cardinality.HyperLogLog;
    +import com.clearspring.analytics.stream.cardinality.ICardinality;
    +import com.clearspring.analytics.stream.cardinality.LinearCounting;
    +import org.apache.flink.statistics.heavyhitters.IHeavyHitter;
    +import org.apache.flink.statistics.heavyhitters.LossyCounting;
    +import org.apache.flink.statistics.heavyhitters.CountMinHeavyHitter;
    +import org.apache.flink.statistics.heavyhitters.HeavyHitterMergeException;
    +
    +import java.io.Serializable;
    +import java.util.Map;
    +
    +/**
    + * Data structure that encapsulates statistical information of data that has only been
processed by one pass
    + * This statistical information is meant to help determine the distribution of the data
that has been processed
    + * in an operator so that we can determine if it is necessary to repartition the data
    + *
    + * The statistics to be gathered are configurable and represented by a {@link OperatorStatisticsConfig}
object.
    + *
    + * The information encapsulated in this class is min, max, a structure enabling estimation
of count distinct and a
    + * structure holding the heavy hitters along with their frequency.
    + *
    + */
    +public class OperatorStatistics implements Serializable {
    +
    +	OperatorStatisticsConfig config;
    +
    +	Object min;
    +	Object max;
    +	ICardinality countDistinct;
    +	IHeavyHitter heavyHitter;
    +	long cardinality = 0;
    +
    +	public OperatorStatistics(OperatorStatisticsConfig config) {
    +		this.config = config;
    +		if (config.countDistinctAlgorithm.equals(OperatorStatisticsConfig.CountDistinctAlgorithm.LINEAR_COUNTING))
{
    +			countDistinct = new LinearCounting(OperatorStatisticsConfig.COUNTD_BITMAP_SIZE);
    +		}
    +		if(config.countDistinctAlgorithm.equals(OperatorStatisticsConfig.CountDistinctAlgorithm.HYPERLOGLOG)){
    +			countDistinct = new HyperLogLog(OperatorStatisticsConfig.COUNTD_LOG2M);
    +		}
    +		if (config.heavyHitterAlgorithm.equals(OperatorStatisticsConfig.HeavyHitterAlgorithm.LOSSY_COUNTING)){
    +			heavyHitter =
    +					new LossyCounting(OperatorStatisticsConfig.HEAVY_HITTER_FRACTION, OperatorStatisticsConfig.HEAVY_HITTER_ERROR);
    +		}
    +		if (config.heavyHitterAlgorithm.equals(OperatorStatisticsConfig.HeavyHitterAlgorithm.COUNT_MIN_SKETCH)){
    +			heavyHitter =
    +					new CountMinHeavyHitter(OperatorStatisticsConfig.HEAVY_HITTER_FRACTION,
    +											OperatorStatisticsConfig.HEAVY_HITTER_ERROR,
    +											OperatorStatisticsConfig.HEAVY_HITTER_CONFIDENCE,
    +											OperatorStatisticsConfig.HEAVY_HITTER_SEED);
    +		}
    +	}
    +
    +	public void process(Object tupleObject){
    +		if (tupleObject instanceof Comparable) {
    +			if (config.collectMin && (min == null || ((Comparable) tupleObject).compareTo(min)
< 0)) {
    +				min = tupleObject;
    +			}
    +			if (config.collectMax && (max == null || ((Comparable) tupleObject).compareTo(max)
> 0)) {
    +				max = tupleObject;
    +			}
    +		}
    +		if (config.collectCountDistinct){
    +			countDistinct.offer(tupleObject);
    +		}
    +		if (config.collectHeavyHitters){
    +			heavyHitter.addObject(tupleObject);
    +		}
    +		cardinality+=1;
    +	}
    +
    +	public void merge(OperatorStatistics other){
    +
    +		if (this.config.collectMin && ((Comparable)this.min).compareTo(other.min) >
0 ) {
    +			this.min = other.min;
    +		}
    +		if (this.config.collectMax && ((Comparable)this.max).compareTo(other.max) <
0 ) {
    +			this.max = other.max;
    +		}
    +
    +		try {
    +			this.heavyHitter.merge(other.heavyHitter);
    +		} catch (HeavyHitterMergeException e) {
    +			e.printStackTrace();
    --- End diff --
    
    rethrow


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