com.couchbase.client.core.deps.org.HdrHistogram.ConcurrentDoubleHistogram Maven / Gradle / Ivy
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/**
* Written by Gil Tene of Azul Systems, and released to the public domain,
* as explained at http://creativecommons.org/publicdomain/zero/1.0/
*
* @author Gil Tene
*/
package com.couchbase.client.core.deps.org.HdrHistogram;
import java.nio.ByteBuffer;
import java.util.zip.DataFormatException;
/**
* A floating point values High Dynamic Range (HDR) Histogram that supports safe concurrent recording
* operations.
*
* A {@link ConcurrentDoubleHistogram} is a variant of {@link com.couchbase.client.core.deps.org.HdrHistogram.DoubleHistogram} that guarantees
* lossless recording of values into the histogram even when the histogram is updated by multiple threads, and
* supports auto-resize and auto-ranging operations that may occur concurrently as a result of recording operations.
*
* It is important to note that concurrent recording, auto-sizing, and value shifting are the only thread-safe behaviors
* provided by {@link ConcurrentDoubleHistogram}, and that it is not otherwise synchronized. Specifically, {@link
* ConcurrentDoubleHistogram} provides no implicit synchronization that would prevent the contents of the histogram
* from changing during queries, iterations, copies, or addition operations on the histogram. Callers wishing to make
* potentially concurrent, multi-threaded updates that would safely work in the presence of queries, copies, or
* additions of histogram objects should either take care to externally synchronize and/or order their access,
* use the {@link SynchronizedDoubleHistogram} variant, or (recommended) use the {@link DoubleRecorder}
* or {@link SingleWriterDoubleRecorder} which are intended for this purpose.
*
* {@link ConcurrentDoubleHistogram} supports the recording and analyzing sampled data value counts across a
* configurable dynamic range of floating point (double) values, with configurable value precision within the range.
* Dynamic range is expressed as a ratio between the highest and lowest non-zero values trackable within the histogram
* at any given time. Value precision is expressed as the number of significant [decimal] digits in the value recording,
* and provides control over value quantization behavior across the value range and the subsequent value resolution at
* any given level.
*
* Auto-ranging: Unlike integer value based histograms, the specific value range tracked by a {@link
* ConcurrentDoubleHistogram} is not specified upfront. Only the dynamic range of values that the histogram can cover is
* (optionally) specified. E.g. When a {@link ConcurrentDoubleHistogram} is created to track a dynamic range of
* 3600000000000 (enough to track values from a nanosecond to an hour), values could be recorded into into it in any
* consistent unit of time as long as the ratio between the highest and lowest non-zero values stays within the
* specified dynamic range, so recording in units of nanoseconds (1.0 thru 3600000000000.0), milliseconds (0.000001
* thru 3600000.0) seconds (0.000000001 thru 3600.0), hours (1/3.6E12 thru 1.0) will all work just as well.
*
* Auto-resizing: When constructed with no specified dynamic range (or when auto-resize is turned on with {@link
* ConcurrentDoubleHistogram#setAutoResize}) a {@link ConcurrentDoubleHistogram} will auto-resize its dynamic range to
* include recorded values as they are encountered. Note that recording calls that cause auto-resizing may take
* longer to execute, as resizing incurs allocation and copying of internal data structures.
*
* Attempts to record non-zero values that range outside of the specified dynamic range (or exceed the limits of
* of dynamic range when auto-resizing) may results in {@link ArrayIndexOutOfBoundsException} exceptions, either
* due to overflow or underflow conditions. These exceptions will only be thrown if recording the value would have
* resulted in discarding or losing the required value precision of values already recorded in the histogram.
*
* See package description for {@link com.couchbase.client.core.deps.org.HdrHistogram} for details.
*/
public class ConcurrentDoubleHistogram extends DoubleHistogram {
/**
* Construct a new auto-resizing DoubleHistogram using a precision stated as a number of significant decimal
* digits.
*
* @param numberOfSignificantValueDigits Specifies the precision to use. This is the number of significant decimal
* digits to which the histogram will maintain value resolution and
* separation. Must be a non-negative integer between 0 and 5.
*/
public ConcurrentDoubleHistogram(final int numberOfSignificantValueDigits) {
this(2, numberOfSignificantValueDigits);
setAutoResize(true);
}
/**
* Construct a new DoubleHistogram with the specified dynamic range (provided in {@code highestToLowestValueRatio})
* and using a precision stated as a number of significant decimal digits.
*
* @param highestToLowestValueRatio specifies the dynamic range to use
* @param numberOfSignificantValueDigits Specifies the precision to use. This is the number of significant decimal
* digits to which the histogram will maintain value resolution and
* separation. Must be a non-negative integer between 0 and 5.
*/
public ConcurrentDoubleHistogram(final long highestToLowestValueRatio, final int numberOfSignificantValueDigits) {
this(highestToLowestValueRatio, numberOfSignificantValueDigits, ConcurrentHistogram.class);
}
/**
* Construct a {@link ConcurrentDoubleHistogram} with the same range settings as a given source,
* duplicating the source's start/end timestamps (but NOT it's contents)
* @param source The source histogram to duplicate
*/
public ConcurrentDoubleHistogram(final DoubleHistogram source) {
super(source);
}
ConcurrentDoubleHistogram(final long highestToLowestValueRatio,
final int numberOfSignificantValueDigits,
final Class internalCountsHistogramClass) {
super(highestToLowestValueRatio, numberOfSignificantValueDigits, internalCountsHistogramClass);
}
ConcurrentDoubleHistogram(final long highestToLowestValueRatio,
final int numberOfSignificantValueDigits,
final Class internalCountsHistogramClass,
AbstractHistogram internalCountsHistogram) {
super(
highestToLowestValueRatio,
numberOfSignificantValueDigits,
internalCountsHistogramClass,
internalCountsHistogram
);
}
/**
* Construct a new ConcurrentDoubleHistogram by decoding it from a ByteBuffer.
* @param buffer The buffer to decode from
* @param minBarForHighestToLowestValueRatio Force highestTrackableValue to be set at least this high
* @return The newly constructed ConcurrentDoubleHistogram
*/
public static ConcurrentDoubleHistogram decodeFromByteBuffer(
final ByteBuffer buffer,
final long minBarForHighestToLowestValueRatio) {
try {
int cookie = buffer.getInt();
if (!isNonCompressedDoubleHistogramCookie(cookie)) {
throw new IllegalArgumentException("The buffer does not contain a DoubleHistogram");
}
ConcurrentDoubleHistogram histogram = constructHistogramFromBuffer(cookie, buffer,
ConcurrentDoubleHistogram.class, ConcurrentHistogram.class,
minBarForHighestToLowestValueRatio);
return histogram;
} catch (DataFormatException ex) {
throw new RuntimeException(ex);
}
}
/**
* Construct a new ConcurrentDoubleHistogram by decoding it from a compressed form in a ByteBuffer.
* @param buffer The buffer to decode from
* @param minBarForHighestToLowestValueRatio Force highestTrackableValue to be set at least this high
* @return The newly constructed ConcurrentDoubleHistogram
* @throws DataFormatException on error parsing/decompressing the buffer
*/
public static ConcurrentDoubleHistogram decodeFromCompressedByteBuffer(
final ByteBuffer buffer,
final long minBarForHighestToLowestValueRatio) throws DataFormatException {
int cookie = buffer.getInt();
if (!isCompressedDoubleHistogramCookie(cookie)) {
throw new IllegalArgumentException("The buffer does not contain a compressed DoubleHistogram");
}
ConcurrentDoubleHistogram histogram = constructHistogramFromBuffer(cookie, buffer,
ConcurrentDoubleHistogram.class, ConcurrentHistogram.class,
minBarForHighestToLowestValueRatio);
return histogram;
}
}