Code:
/ 4.0 / 4.0 / DEVDIV_TFS / Dev10 / Releases / RTMRel / ndp / fx / src / Core / System / Linq / Parallel / QueryOperators / AssociativeAggregationOperator.cs / 1305376 / AssociativeAggregationOperator.cs
// ==++==
//
// Copyright (c) Microsoft Corporation. All rights reserved.
//
// ==--==
// =+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+
//
// AssociativeAggregationOperator.cs
//
// [....]
//
// =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
using System.Collections.Generic;
using System.Diagnostics.Contracts;
using System.Threading;
namespace System.Linq.Parallel
{
///
/// The aggregation operator is a little unique, in that the enumerators it returns
/// yield intermediate results instead of the final results. That's because there is
/// one last Aggregate operation that must occur in order to perform the final reduction
/// over the intermediate streams. In other words, the intermediate enumerators produced
/// by this operator are never seen by other query operators or consumers directly.
///
/// An aggregation performs parallel prefixing internally. Given a binary operator O,
/// it will generate intermediate results by folding O across partitions; then it
/// performs a final reduction by folding O accross the intermediate results. The
/// analysis engine knows about associativity and commutativity, and will ensure the
/// style of partitioning inserted into the tree is compatable with the operator.
///
/// For instance, say O is + (meaning it is AC), our input is {1,2,...,8}, and we
/// use 4 partitions to calculate the aggregation. Sequentially this would look
/// like this O(O(O(1,2),...),8), in other words ((1+2)+...)+8. The parallel prefix
/// of this (w/ 4 partitions) instead calculates the intermediate aggregations, i.e.:
/// t1 = O(1,2), t2 = O(3,4), ... t4 = O(7,8), aka t1 = 1+2, t2 = 3+4, t4 = 7+8.
/// The final step is to aggregate O over these intermediaries, i.e.
/// O(O(O(t1,t2),t3),t4), or ((t1+t2)+t3)+t4. This generalizes to any binary operator.
///
/// Beause some aggregations use a different input, intermediate, and output types,
/// we support an even more generalized aggregation type. In this model, we have
/// three operators, an intermediate (used for the incremental aggregations), a
/// final (used for the final summary of intermediate results), and a result selector
/// (used to perform whatever transformation is needed on the final summary).
///
/// : UnaryQueryOperator
{
private readonly TIntermediate m_seed; // A seed used during aggregation.
private readonly bool m_seedIsSpecified; // Whether a seed was specified. If not, the first element will be used.
private readonly bool m_throwIfEmpty; // Whether to throw an exception if the data source is empty.
// An intermediate reduction function.
private Func m_intermediateReduce;
// A final reduction function.
private Func m_finalReduce;
// The result selector function.
private Func m_resultSelector;
// A function that constructs seed instances
private Func m_seedFactory;
//----------------------------------------------------------------------------------------
// Constructs a new instance of an associative operator.
//
// Assumptions:
// This operator must be associative.
//
internal AssociativeAggregationOperator(IEnumerable child, TIntermediate seed, Func seedFactory, bool seedIsSpecified,
Func intermediateReduce,
Func finalReduce,
Func resultSelector, bool throwIfEmpty, QueryAggregationOptions options)
:base(child)
{
Contract.Assert(child != null, "child data source cannot be null");
Contract.Assert(intermediateReduce != null, "need an intermediate reduce function");
Contract.Assert(finalReduce != null, "need a final reduce function");
Contract.Assert(resultSelector != null, "need a result selector function");
Contract.Assert(Enum.IsDefined(typeof(QueryAggregationOptions), options), "enum out of valid range");
Contract.Assert((options & QueryAggregationOptions.Associative) == QueryAggregationOptions.Associative, "expected an associative operator");
Contract.Assert(typeof(TIntermediate) == typeof(TInput) || seedIsSpecified, "seed must be specified if TIntermediate differs from TInput");
m_seed = seed;
m_seedFactory = seedFactory;
m_seedIsSpecified = seedIsSpecified;
m_intermediateReduce = intermediateReduce;
m_finalReduce = finalReduce;
m_resultSelector = resultSelector;
m_throwIfEmpty = throwIfEmpty;
}
//---------------------------------------------------------------------------------------
// Executes the entire query tree, and aggregates the intermediate results into the
// final result based on the binary operators and final reduction.
//
// Return Value:
// The single result of aggregation.
//
internal TOutput Aggregate()
{
Contract.Assert(m_finalReduce != null);
Contract.Assert(m_resultSelector != null);
TIntermediate accumulator = default(TIntermediate);
bool hadElements = false;
// Because the final reduction is typically much cheaper than the intermediate
// reductions over the individual partitions, and because each parallel partition
// will do a lot of work to produce a single output element, we prefer to turn off
// pipelining, and process the final reductions serially.
using (IEnumerator enumerator = GetEnumerator(ParallelMergeOptions.FullyBuffered, true))
{
// We just reduce the elements in each output partition. If the operation is associative,
// this will yield the correct answer. If not, we should never be calling this routine.
while (enumerator.MoveNext())
{
if (hadElements)
{
// Accumulate results by passing the current accumulation and current element to
// the reduction operation.
try
{
accumulator = m_finalReduce(accumulator, enumerator.Current);
}
catch (ThreadAbortException)
{
// Do not wrap ThreadAbortExceptions
throw;
}
catch (Exception ex)
{
// We need to wrap all exceptions into an aggregate.
throw new AggregateException(ex);
}
}
else
{
// This is the first element. Just set the accumulator to the first element.
accumulator = enumerator.Current;
hadElements = true;
}
}
// If there were no elements, we must throw an exception.
if (!hadElements)
{
if (m_throwIfEmpty)
{
throw new InvalidOperationException(SR.GetString(SR.NoElements));
}
else
{
accumulator = m_seedFactory == null ? m_seed : m_seedFactory();
}
}
}
// Finally, run the selection routine to yield the final element.
try
{
return m_resultSelector(accumulator);
}
catch (ThreadAbortException)
{
// Do not wrap ThreadAbortExceptions
throw;
}
catch (Exception ex)
{
// We need to wrap all exceptions into an aggregate.
throw new AggregateException(ex);
}
}
//---------------------------------------------------------------------------------------
// Just opens the current operator, including opening the child and wrapping it with
// partitions as needed.
//
internal override QueryResults Open(QuerySettings settings, bool preferStriping)
{
// We just open the child operator.
QueryResults childQueryResults = Child.Open(settings, preferStriping);
return new UnaryQueryOperatorResults(childQueryResults, this, settings, preferStriping);
}
internal override void WrapPartitionedStream(
PartitionedStream inputStream, IPartitionedStreamRecipient recipient,
bool preferStriping, QuerySettings settings)
{
int partitionCount = inputStream.PartitionCount;
PartitionedStream outputStream = new PartitionedStream(
partitionCount, Util.GetDefaultComparer(), OrdinalIndexState.Correct);
for (int i = 0; i < partitionCount; i++)
{
outputStream[i] = new AssociativeAggregationOperatorEnumerator(inputStream[i], this, i, settings.CancellationState.MergedCancellationToken);
}
recipient.Receive(outputStream);
}
//---------------------------------------------------------------------------------------
// Returns an enumerable that represents the query executing sequentially.
//
internal override IEnumerable AsSequentialQuery(CancellationToken token)
{
Contract.Assert(false, "This method should never be called. Associative aggregation can always be parallelized.");
throw new NotSupportedException();
}
//----------------------------------------------------------------------------------------
// Whether this operator performs a premature merge.
//
internal override bool LimitsParallelism
{
get { return false; }
}
//---------------------------------------------------------------------------------------
// This enumerator type encapsulates the intermediary aggregation over the underlying
// (possibly partitioned) data source.
//
private class AssociativeAggregationOperatorEnumerator : QueryOperatorEnumerator
{
private readonly QueryOperatorEnumerator m_source; // The source data.
private readonly AssociativeAggregationOperator m_reduceOperator; // The operator.
private readonly int m_partitionIndex; // The index of this partition.
private readonly CancellationToken m_cancellationToken;
private bool m_accumulated; // Whether we've accumulated already. (false-sharing risk, but only written once)
//----------------------------------------------------------------------------------------
// Instantiates a new aggregation operator.
//
internal AssociativeAggregationOperatorEnumerator(QueryOperatorEnumerator source,
AssociativeAggregationOperator reduceOperator, int partitionIndex,
CancellationToken cancellationToken)
{
Contract.Assert(source != null);
Contract.Assert(reduceOperator != null);
m_source = source;
m_reduceOperator = reduceOperator;
m_partitionIndex = partitionIndex;
m_cancellationToken = cancellationToken;
}
//----------------------------------------------------------------------------------------
// This API, upon the first time calling it, walks the entire source query tree. It begins
// with an accumulator value set to the aggregation operator's seed, and always passes
// the accumulator along with the current element from the data source to the binary
// intermediary aggregation operator. The return value is kept in the accumulator. At
// the end, we will have our intermediate result, ready for final aggregation.
//
internal override bool MoveNext(ref TIntermediate currentElement, ref int currentKey)
{
Contract.Assert(m_reduceOperator != null);
Contract.Assert(m_reduceOperator.m_intermediateReduce != null, "expected a compiled operator");
// Only produce a single element. Return false if MoveNext() was already called before.
if (m_accumulated)
{
return false;
}
m_accumulated = true;
bool hadNext = false;
TIntermediate accumulator = default(TIntermediate);
// Initialize the accumulator.
if (m_reduceOperator.m_seedIsSpecified)
{
// If the seed is specified, initialize accumulator to the seed value.
accumulator = m_reduceOperator.m_seedFactory == null
? m_reduceOperator.m_seed
: m_reduceOperator.m_seedFactory();
}
else
{
// If the seed is not specified, then we take the first element as the seed.
// Seed may be unspecified only if TInput is the same as TIntermediate.
Contract.Assert(typeof(TInput) == typeof(TIntermediate));
TInput acc = default(TInput);
TKey accKeyUnused = default(TKey);
if (!m_source.MoveNext(ref acc, ref accKeyUnused)) return false;
hadNext = true;
accumulator = (TIntermediate)((object)acc);
}
// Scan through the source and accumulate the result.
TInput input = default(TInput);
TKey keyUnused = default(TKey);
int i = 0;
while (m_source.MoveNext(ref input, ref keyUnused))
{
if ((i++ & CancellationState.POLL_INTERVAL) == 0)
CancellationState.ThrowIfCanceled(m_cancellationToken);
hadNext = true;
accumulator = m_reduceOperator.m_intermediateReduce(accumulator, input);
}
if (hadNext)
{
currentElement = accumulator;
currentKey = m_partitionIndex; // A reduction's "index" is just its partition number.
return true;
}
return false;
}
protected override void Dispose(bool disposing)
{
Contract.Assert(m_source != null);
m_source.Dispose();
}
}
}
}
// File provided for Reference Use Only by Microsoft Corporation (c) 2007.
// ==++==
//
// Copyright (c) Microsoft Corporation. All rights reserved.
//
// ==--==
// =+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+
//
// AssociativeAggregationOperator.cs
//
// [....]
//
// =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
using System.Collections.Generic;
using System.Diagnostics.Contracts;
using System.Threading;
namespace System.Linq.Parallel
{
///
/// The aggregation operator is a little unique, in that the enumerators it returns
/// yield intermediate results instead of the final results. That's because there is
/// one last Aggregate operation that must occur in order to perform the final reduction
/// over the intermediate streams. In other words, the intermediate enumerators produced
/// by this operator are never seen by other query operators or consumers directly.
///
/// An aggregation performs parallel prefixing internally. Given a binary operator O,
/// it will generate intermediate results by folding O across partitions; then it
/// performs a final reduction by folding O accross the intermediate results. The
/// analysis engine knows about associativity and commutativity, and will ensure the
/// style of partitioning inserted into the tree is compatable with the operator.
///
/// For instance, say O is + (meaning it is AC), our input is {1,2,...,8}, and we
/// use 4 partitions to calculate the aggregation. Sequentially this would look
/// like this O(O(O(1,2),...),8), in other words ((1+2)+...)+8. The parallel prefix
/// of this (w/ 4 partitions) instead calculates the intermediate aggregations, i.e.:
/// t1 = O(1,2), t2 = O(3,4), ... t4 = O(7,8), aka t1 = 1+2, t2 = 3+4, t4 = 7+8.
/// The final step is to aggregate O over these intermediaries, i.e.
/// O(O(O(t1,t2),t3),t4), or ((t1+t2)+t3)+t4. This generalizes to any binary operator.
///
/// Beause some aggregations use a different input, intermediate, and output types,
/// we support an even more generalized aggregation type. In this model, we have
/// three operators, an intermediate (used for the incremental aggregations), a
/// final (used for the final summary of intermediate results), and a result selector
/// (used to perform whatever transformation is needed on the final summary).
///
/// : UnaryQueryOperator
{
private readonly TIntermediate m_seed; // A seed used during aggregation.
private readonly bool m_seedIsSpecified; // Whether a seed was specified. If not, the first element will be used.
private readonly bool m_throwIfEmpty; // Whether to throw an exception if the data source is empty.
// An intermediate reduction function.
private Func m_intermediateReduce;
// A final reduction function.
private Func m_finalReduce;
// The result selector function.
private Func m_resultSelector;
// A function that constructs seed instances
private Func m_seedFactory;
//----------------------------------------------------------------------------------------
// Constructs a new instance of an associative operator.
//
// Assumptions:
// This operator must be associative.
//
internal AssociativeAggregationOperator(IEnumerable child, TIntermediate seed, Func seedFactory, bool seedIsSpecified,
Func intermediateReduce,
Func finalReduce,
Func resultSelector, bool throwIfEmpty, QueryAggregationOptions options)
:base(child)
{
Contract.Assert(child != null, "child data source cannot be null");
Contract.Assert(intermediateReduce != null, "need an intermediate reduce function");
Contract.Assert(finalReduce != null, "need a final reduce function");
Contract.Assert(resultSelector != null, "need a result selector function");
Contract.Assert(Enum.IsDefined(typeof(QueryAggregationOptions), options), "enum out of valid range");
Contract.Assert((options & QueryAggregationOptions.Associative) == QueryAggregationOptions.Associative, "expected an associative operator");
Contract.Assert(typeof(TIntermediate) == typeof(TInput) || seedIsSpecified, "seed must be specified if TIntermediate differs from TInput");
m_seed = seed;
m_seedFactory = seedFactory;
m_seedIsSpecified = seedIsSpecified;
m_intermediateReduce = intermediateReduce;
m_finalReduce = finalReduce;
m_resultSelector = resultSelector;
m_throwIfEmpty = throwIfEmpty;
}
//---------------------------------------------------------------------------------------
// Executes the entire query tree, and aggregates the intermediate results into the
// final result based on the binary operators and final reduction.
//
// Return Value:
// The single result of aggregation.
//
internal TOutput Aggregate()
{
Contract.Assert(m_finalReduce != null);
Contract.Assert(m_resultSelector != null);
TIntermediate accumulator = default(TIntermediate);
bool hadElements = false;
// Because the final reduction is typically much cheaper than the intermediate
// reductions over the individual partitions, and because each parallel partition
// will do a lot of work to produce a single output element, we prefer to turn off
// pipelining, and process the final reductions serially.
using (IEnumerator enumerator = GetEnumerator(ParallelMergeOptions.FullyBuffered, true))
{
// We just reduce the elements in each output partition. If the operation is associative,
// this will yield the correct answer. If not, we should never be calling this routine.
while (enumerator.MoveNext())
{
if (hadElements)
{
// Accumulate results by passing the current accumulation and current element to
// the reduction operation.
try
{
accumulator = m_finalReduce(accumulator, enumerator.Current);
}
catch (ThreadAbortException)
{
// Do not wrap ThreadAbortExceptions
throw;
}
catch (Exception ex)
{
// We need to wrap all exceptions into an aggregate.
throw new AggregateException(ex);
}
}
else
{
// This is the first element. Just set the accumulator to the first element.
accumulator = enumerator.Current;
hadElements = true;
}
}
// If there were no elements, we must throw an exception.
if (!hadElements)
{
if (m_throwIfEmpty)
{
throw new InvalidOperationException(SR.GetString(SR.NoElements));
}
else
{
accumulator = m_seedFactory == null ? m_seed : m_seedFactory();
}
}
}
// Finally, run the selection routine to yield the final element.
try
{
return m_resultSelector(accumulator);
}
catch (ThreadAbortException)
{
// Do not wrap ThreadAbortExceptions
throw;
}
catch (Exception ex)
{
// We need to wrap all exceptions into an aggregate.
throw new AggregateException(ex);
}
}
//---------------------------------------------------------------------------------------
// Just opens the current operator, including opening the child and wrapping it with
// partitions as needed.
//
internal override QueryResults Open(QuerySettings settings, bool preferStriping)
{
// We just open the child operator.
QueryResults childQueryResults = Child.Open(settings, preferStriping);
return new UnaryQueryOperatorResults(childQueryResults, this, settings, preferStriping);
}
internal override void WrapPartitionedStream(
PartitionedStream inputStream, IPartitionedStreamRecipient recipient,
bool preferStriping, QuerySettings settings)
{
int partitionCount = inputStream.PartitionCount;
PartitionedStream outputStream = new PartitionedStream(
partitionCount, Util.GetDefaultComparer(), OrdinalIndexState.Correct);
for (int i = 0; i < partitionCount; i++)
{
outputStream[i] = new AssociativeAggregationOperatorEnumerator(inputStream[i], this, i, settings.CancellationState.MergedCancellationToken);
}
recipient.Receive(outputStream);
}
//---------------------------------------------------------------------------------------
// Returns an enumerable that represents the query executing sequentially.
//
internal override IEnumerable AsSequentialQuery(CancellationToken token)
{
Contract.Assert(false, "This method should never be called. Associative aggregation can always be parallelized.");
throw new NotSupportedException();
}
//----------------------------------------------------------------------------------------
// Whether this operator performs a premature merge.
//
internal override bool LimitsParallelism
{
get { return false; }
}
//---------------------------------------------------------------------------------------
// This enumerator type encapsulates the intermediary aggregation over the underlying
// (possibly partitioned) data source.
//
private class AssociativeAggregationOperatorEnumerator : QueryOperatorEnumerator
{
private readonly QueryOperatorEnumerator m_source; // The source data.
private readonly AssociativeAggregationOperator m_reduceOperator; // The operator.
private readonly int m_partitionIndex; // The index of this partition.
private readonly CancellationToken m_cancellationToken;
private bool m_accumulated; // Whether we've accumulated already. (false-sharing risk, but only written once)
//----------------------------------------------------------------------------------------
// Instantiates a new aggregation operator.
//
internal AssociativeAggregationOperatorEnumerator(QueryOperatorEnumerator source,
AssociativeAggregationOperator reduceOperator, int partitionIndex,
CancellationToken cancellationToken)
{
Contract.Assert(source != null);
Contract.Assert(reduceOperator != null);
m_source = source;
m_reduceOperator = reduceOperator;
m_partitionIndex = partitionIndex;
m_cancellationToken = cancellationToken;
}
//----------------------------------------------------------------------------------------
// This API, upon the first time calling it, walks the entire source query tree. It begins
// with an accumulator value set to the aggregation operator's seed, and always passes
// the accumulator along with the current element from the data source to the binary
// intermediary aggregation operator. The return value is kept in the accumulator. At
// the end, we will have our intermediate result, ready for final aggregation.
//
internal override bool MoveNext(ref TIntermediate currentElement, ref int currentKey)
{
Contract.Assert(m_reduceOperator != null);
Contract.Assert(m_reduceOperator.m_intermediateReduce != null, "expected a compiled operator");
// Only produce a single element. Return false if MoveNext() was already called before.
if (m_accumulated)
{
return false;
}
m_accumulated = true;
bool hadNext = false;
TIntermediate accumulator = default(TIntermediate);
// Initialize the accumulator.
if (m_reduceOperator.m_seedIsSpecified)
{
// If the seed is specified, initialize accumulator to the seed value.
accumulator = m_reduceOperator.m_seedFactory == null
? m_reduceOperator.m_seed
: m_reduceOperator.m_seedFactory();
}
else
{
// If the seed is not specified, then we take the first element as the seed.
// Seed may be unspecified only if TInput is the same as TIntermediate.
Contract.Assert(typeof(TInput) == typeof(TIntermediate));
TInput acc = default(TInput);
TKey accKeyUnused = default(TKey);
if (!m_source.MoveNext(ref acc, ref accKeyUnused)) return false;
hadNext = true;
accumulator = (TIntermediate)((object)acc);
}
// Scan through the source and accumulate the result.
TInput input = default(TInput);
TKey keyUnused = default(TKey);
int i = 0;
while (m_source.MoveNext(ref input, ref keyUnused))
{
if ((i++ & CancellationState.POLL_INTERVAL) == 0)
CancellationState.ThrowIfCanceled(m_cancellationToken);
hadNext = true;
accumulator = m_reduceOperator.m_intermediateReduce(accumulator, input);
}
if (hadNext)
{
currentElement = accumulator;
currentKey = m_partitionIndex; // A reduction's "index" is just its partition number.
return true;
}
return false;
}
protected override void Dispose(bool disposing)
{
Contract.Assert(m_source != null);
m_source.Dispose();
}
}
}
}
// File provided for Reference Use Only by Microsoft Corporation (c) 2007.
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