org.apache.flink.api.java.utils

Class DataSetUtils

java.lang.Object

org.apache.flink.api.java.utils.DataSetUtils

@PublicEvolving
public final class DataSetUtils
extends Object

This class provides simple utility methods for zipping elements in a data set with an index or with a unique identifier.

Method Summary

Modifier and Type	Method and Description
static <T> Utils.ChecksumHashCode	checksumHashCode(DataSet<T> input) Deprecated. replaced with org.apache.flink.graph.asm.dataset.ChecksumHashCode in Gelly
static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Integer,Long>>	countElementsPerPartition(DataSet<T> input) Method that goes over all the elements in each partition in order to retrieve the total number of elements.
static int	getBitSize(long value)
static <T> PartitionOperator<T>	partitionByRange(DataSet<T> input, org.apache.flink.api.common.distributions.DataDistribution distribution, int... fields) Range-partitions a DataSet on the specified tuple field positions.
static <T,K extends Comparable<K>> PartitionOperator<T>	partitionByRange(DataSet<T> input, org.apache.flink.api.common.distributions.DataDistribution distribution, org.apache.flink.api.java.functions.KeySelector<T,K> keyExtractor) Range-partitions a DataSet using the specified key selector function.
static <T> PartitionOperator<T>	partitionByRange(DataSet<T> input, org.apache.flink.api.common.distributions.DataDistribution distribution, String... fields) Range-partitions a DataSet on the specified fields.
static <T> MapPartitionOperator<T,T>	sample(DataSet<T> input, boolean withReplacement, double fraction) Generate a sample of DataSet by the probability fraction of each element.
static <T> MapPartitionOperator<T,T>	sample(DataSet<T> input, boolean withReplacement, double fraction, long seed) Generate a sample of DataSet by the probability fraction of each element.
static <T> DataSet<T>	sampleWithSize(DataSet<T> input, boolean withReplacement, int numSamples) Generate a sample of DataSet which contains fixed size elements.
static <T> DataSet<T>	sampleWithSize(DataSet<T> input, boolean withReplacement, int numSamples, long seed) Generate a sample of DataSet which contains fixed size elements.
static <R extends org.apache.flink.api.java.tuple.Tuple,T extends org.apache.flink.api.java.tuple.Tuple> R	summarize(DataSet<T> input) Summarize a DataSet of Tuples by collecting single pass statistics for all columns.
static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Long,T>>	zipWithIndex(DataSet<T> input) Method that assigns a unique Long value to all elements in the input data set.
static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Long,T>>	zipWithUniqueId(DataSet<T> input) Method that assigns a unique Long value to all elements in the input data set as described below.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

countElementsPerPartition

public static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Integer,Long>> countElementsPerPartition(DataSet<T> input)

Method that goes over all the elements in each partition in order to retrieve the total number of elements.

Parameters:

input - the DataSet received as input

Returns:

a data set containing tuples of subtask index, number of elements mappings.

zipWithIndex

public static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Long,T>> zipWithIndex(DataSet<T> input)

Method that assigns a unique Long value to all elements in the input data set. The generated values are consecutive.

Parameters:

input - the input data set

Returns:

a data set of tuple 2 consisting of consecutive ids and initial values.

zipWithUniqueId

public static <T> DataSet<org.apache.flink.api.java.tuple.Tuple2<Long,T>> zipWithUniqueId(DataSet<T> input)

Method that assigns a unique Long value to all elements in the input data set as described below.

• a map function is applied to the input data set
• each map task holds a counter c which is increased for each record
• c is shifted by n bits where n = log2(number of parallel tasks)
• to create a unique ID among all tasks, the task id is added to the counter
• for each record, the resulting counter is collected

Parameters:

input - the input data set

Returns:

a data set of tuple 2 consisting of ids and initial values.

sample

public static <T> MapPartitionOperator<T,T> sample(DataSet<T> input,
                                                   boolean withReplacement,
                                                   double fraction)

Generate a sample of DataSet by the probability fraction of each element.

Parameters:

withReplacement - Whether element can be selected more than once.

fraction - Probability that each element is chosen, should be [0,1] without replacement, and [0, ∞) with replacement. While fraction is larger than 1, the elements are expected to be selected multi times into sample on average.

Returns:

The sampled DataSet

sample

public static <T> MapPartitionOperator<T,T> sample(DataSet<T> input,
                                                   boolean withReplacement,
                                                   double fraction,
                                                   long seed)

Generate a sample of DataSet by the probability fraction of each element.

Parameters:

withReplacement - Whether element can be selected more than once.

fraction - Probability that each element is chosen, should be [0,1] without replacement, and [0, ∞) with replacement. While fraction is larger than 1, the elements are expected to be selected multi times into sample on average.

seed - random number generator seed.

Returns:

The sampled DataSet

sampleWithSize

public static <T> DataSet<T> sampleWithSize(DataSet<T> input,
                                            boolean withReplacement,
                                            int numSamples)

Generate a sample of DataSet which contains fixed size elements.

NOTE: Sample with fixed size is not as efficient as sample with fraction, use sample with fraction unless you need exact precision.

Parameters:

withReplacement - Whether element can be selected more than once.

numSamples - The expected sample size.

Returns:

The sampled DataSet

sampleWithSize

public static <T> DataSet<T> sampleWithSize(DataSet<T> input,
                                            boolean withReplacement,
                                            int numSamples,
                                            long seed)

Generate a sample of DataSet which contains fixed size elements.

NOTE: Sample with fixed size is not as efficient as sample with fraction, use sample with fraction unless you need exact precision.

Parameters:

withReplacement - Whether element can be selected more than once.

numSamples - The expected sample size.

seed - Random number generator seed.

Returns:

The sampled DataSet

partitionByRange

public static <T> PartitionOperator<T> partitionByRange(DataSet<T> input,
                                                        org.apache.flink.api.common.distributions.DataDistribution distribution,
                                                        int... fields)

Range-partitions a DataSet on the specified tuple field positions.

partitionByRange

public static <T> PartitionOperator<T> partitionByRange(DataSet<T> input,
                                                        org.apache.flink.api.common.distributions.DataDistribution distribution,
                                                        String... fields)

Range-partitions a DataSet on the specified fields.

partitionByRange

public static <T,K extends Comparable<K>> PartitionOperator<T> partitionByRange(DataSet<T> input,
                                                                                org.apache.flink.api.common.distributions.DataDistribution distribution,
                                                                                org.apache.flink.api.java.functions.KeySelector<T,K> keyExtractor)

Range-partitions a DataSet using the specified key selector function.

summarize

public static <R extends org.apache.flink.api.java.tuple.Tuple,T extends org.apache.flink.api.java.tuple.Tuple> R summarize(DataSet<T> input)
                                                                                                                     throws Exception

Summarize a DataSet of Tuples by collecting single pass statistics for all columns.

Example usage:

 Dataset<Tuple3<Double, String, Boolean>> input = // [...]
 Tuple3<NumericColumnSummary,StringColumnSummary, BooleanColumnSummary> summary = DataSetUtils.summarize(input)

 summary.f0.getStandardDeviation()
 summary.f1.getMaxLength()
 

Returns:

the summary as a Tuple the same width as input rows

Throws:

Exception

checksumHashCode

@Deprecated
public static <T> Utils.ChecksumHashCode checksumHashCode(DataSet<T> input)
                                                               throws Exception

Deprecated. replaced with org.apache.flink.graph.asm.dataset.ChecksumHashCode in Gelly

Convenience method to get the count (number of elements) of a DataSet as well as the checksum (sum over element hashes).

Returns:

A ChecksumHashCode that represents the count and checksum of elements in the data set.

Throws:

Exception

getBitSize

public static int getBitSize(long value)