java.org.HdrHistogram.HistogramLogProcessor Maven / Gradle / Ivy
Show all versions of hdrhistogram Show documentation
/**
* 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 org.HdrHistogram;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.PrintStream;
import java.util.*;
/**
* {@link org.HdrHistogram.HistogramLogProcessor} will process an input log and
* [can] generate two separate log files from a single histogram log file: a
* sequential interval log file and a histogram percentile distribution log file.
*
* The sequential interval log file logs a single stats summary line for
* each reporting interval.
*
* The histogram percentile distribution log file includes a detailed percentiles
* and fine grained distribution of the entire log file range processed.
*
* HistogramLogProcessor will process an input log file when provided with
* the {@code -i } option. When no -i option is provided, standard input
* will be processed.
*
* When provided with an output file name {@code } with the -o option
* (e.g. "-o mylog"), HistogramLogProcessor will produce both output files
* under the names {@code } and {@code .hgrm} (e.g. mylog and mylog.hgrm).
*
* When not provided with an output file name, HistogramLogProcessor will
* produce [only] the histogram percentile distribution log output to
* standard output.
*
* By default, HistogramLogProcessor only processes hlog file lines lines
* with no tag specified [aka "default tagged" lines]. An optional -tag
* parameter can be used to process lines of a [single] specific tag. The
* -listtags option can be used to list all the tags found in the input file.
*
* HistogramLogProcessor accepts optional -start and -end time range
* parameters. When provided, the output will only reflect the portion
* of the input log with timestamps that fall within the provided start
* and end time range parameters.
*
* HistogramLogProcessor also accepts and optional -csv parameter, which
* will cause the output formatting (of both output file forms) to use
* a CSV file format.
*/
public class HistogramLogProcessor extends Thread {
public static final String versionString = "Histogram Log Processor version " + Version.version;
private final HistogramLogProcessorConfiguration config;
private HistogramLogReader logReader;
private static class HistogramLogProcessorConfiguration {
public boolean verbose = false;
public String outputFileName = null;
public String inputFileName = null;
public String tag = null;
public double rangeStartTimeSec = 0.0;
public double rangeEndTimeSec = Double.MAX_VALUE;
public boolean logFormatCsv = false;
public boolean listTags = false;
public boolean allTags = false;
public boolean movingWindow = false;
public double movingWindowPercentileToReport = 99.0;
public long movingWindowLengthInMsec = 60000; // 1 minute
public int percentilesOutputTicksPerHalf = 5;
public Double outputValueUnitRatio = 1000000.0; // default to msec units for output.
public boolean error = false;
public String errorMessage = "";
public HistogramLogProcessorConfiguration(final String[] args) {
boolean askedForHelp= false;
try {
for (int i = 0; i < args.length; ++i) {
if (args[i].equals("-csv")) {
logFormatCsv = true;
} else if (args[i].equals("-v")) {
verbose = true;
} else if (args[i].equals("-listtags")) {
listTags = true;
} else if (args[i].equals("-alltags")) {
allTags = true;
} else if (args[i].equals("-i")) {
inputFileName = args[++i];
} else if (args[i].equals("-tag")) {
tag = args[++i];
} else if (args[i].equals("-mwp")) {
movingWindowPercentileToReport = Double.parseDouble(args[++i]);
movingWindow = true;
} else if (args[i].equals("-mwpl")) {
movingWindowLengthInMsec = Long.parseLong(args[++i]);
movingWindow = true;
} else if (args[i].equals("-start")) {
rangeStartTimeSec = Double.parseDouble(args[++i]);
} else if (args[i].equals("-end")) {
rangeEndTimeSec = Double.parseDouble(args[++i]);
} else if (args[i].equals("-o")) {
outputFileName = args[++i];
} else if (args[i].equals("-percentilesOutputTicksPerHalf")) {
percentilesOutputTicksPerHalf = Integer.parseInt(args[++i]);
} else if (args[i].equals("-outputValueUnitRatio")) {
outputValueUnitRatio = Double.parseDouble(args[++i]);
} else if (args[i].equals("-h")) {
askedForHelp = true;
throw new Exception("Help: " + args[i]);
} else {
throw new Exception("Invalid args: " + args[i]);
}
}
} catch (Exception e) {
error = true;
errorMessage = "Error: " + versionString + " launched with the following args:\n";
for (String arg : args) {
errorMessage += arg + " ";
}
if (!askedForHelp) {
errorMessage += "\nWhich was parsed as an error, indicated by the following exception:\n" + e;
System.err.println(errorMessage);
}
final String validArgs =
"\"[-csv] [-v] [-i inputFileName] [-o outputFileName] [-tag tag] " +
"[-start rangeStartTimeSec] [-end rangeEndTimeSec] " +
"[-outputValueUnitRatio r] [-listtags]";
System.err.println("valid arguments = " + validArgs);
System.err.println(
" [-h] help\n" +
" [-v] Provide verbose error output\n" +
" [-csv] Use CSV format for output log files\n" +
" [-i logFileName] File name of Histogram Log to process (default is standard input)\n" +
" [-o outputFileName] File name to output to (default is standard output)\n" +
" [-tag tag] The tag (default no tag) of the histogram lines to be processed\n" +
" [-start rangeStartTimeSec] The start time for the range in the file, in seconds (default 0.0)\n" +
" [-end rangeEndTimeSec] The end time for the range in the file, in seconds (default is infinite)\n" +
" [-outputValueUnitRatio r] The scaling factor by which to divide histogram recorded values units\n" +
" in output. [default = 1000000.0 (1 msec in nsec)]\n" +
" [-listtags] list all tags found on histogram lines the input file."
);
System.exit(1);
}
}
}
private void outputTimeRange(final PrintStream log, final String title) {
log.format(Locale.US, "#[%s between %.3f and", title, config.rangeStartTimeSec);
if (config.rangeEndTimeSec < Double.MAX_VALUE) {
log.format(" %.3f", config.rangeEndTimeSec);
} else {
log.format(" %s", "");
}
log.format(" seconds (relative to StartTime)]\n");
}
private void outputStartTime(final PrintStream log, final Double startTime) {
log.format(Locale.US, "#[StartTime: %.3f (seconds since epoch), %s]\n",
startTime, (new Date((long) (startTime * 1000))).toString());
}
int lineNumber = 0;
private EncodableHistogram getIntervalHistogram() {
EncodableHistogram histogram = null;
try {
histogram = logReader.nextIntervalHistogram(config.rangeStartTimeSec, config.rangeEndTimeSec);
} catch (RuntimeException ex) {
System.err.println("Log file parsing error at line number " + lineNumber +
": line appears to be malformed.");
if (config.verbose) {
throw ex;
} else {
System.exit(1);
}
}
lineNumber++;
return histogram;
}
private EncodableHistogram getIntervalHistogram(String tag) {
EncodableHistogram histogram;
if (tag == null) {
do {
histogram = getIntervalHistogram();
} while ((histogram != null) && histogram.getTag() != null);
} else {
do {
histogram = getIntervalHistogram();
} while ((histogram != null) && !tag.equals(histogram.getTag()));
}
return histogram;
}
/**
* Run the log processor with the currently provided arguments.
*/
@Override
public void run() {
PrintStream timeIntervalLog = null;
PrintStream movingWindowLog = null;
PrintStream histogramPercentileLog = System.out;
Double firstStartTime = 0.0;
boolean timeIntervalLogLegendWritten = false;
boolean movingWindowLogLegendWritten = false;
// EncodableHistogram[] movingWindow = new EncodableHistogram[config.movingWindowIntervalCount];
EncodableHistogram movingWindowSumHistogram = null;
Queue movingWindowQueue = new LinkedList();
int movingWindowIndex = 0;
if (config.listTags) {
Set tags = new TreeSet();
EncodableHistogram histogram;
boolean nullTagFound = false;
while ((histogram = getIntervalHistogram()) != null) {
String tag = histogram.getTag();
if (tag != null) {
tags.add(histogram.getTag());
} else {
nullTagFound = true;
}
}
System.out.println("Tags found in input file:");
if (nullTagFound) {
System.out.println("[NO TAG (default)]");
}
for (String tag : tags) {
System.out.println(tag);
}
// listtags does nothing other than list tags:
return;
}
final String logFormat;
final String movingWindowLogFormat;
if (config.logFormatCsv) {
logFormat = "%.3f,%d,%.3f,%.3f,%.3f,%d,%.3f,%.3f,%.3f,%.3f,%.3f,%.3f\n";
movingWindowLogFormat = "%.3f,%d,%.3f,%.3f\n";
} else {
logFormat = "%4.3f: I:%d ( %7.3f %7.3f %7.3f ) T:%d ( %7.3f %7.3f %7.3f %7.3f %7.3f %7.3f )\n";
movingWindowLogFormat = "%4.3f: I:%d P:%7.3f M:%7.3f\n";
}
try {
if (config.outputFileName != null) {
try {
timeIntervalLog = new PrintStream(new FileOutputStream(config.outputFileName), false);
outputTimeRange(timeIntervalLog, "Interval percentile log");
} catch (FileNotFoundException ex) {
System.err.println("Failed to open output file " + config.outputFileName);
}
String hgrmOutputFileName = config.outputFileName + ".hgrm";
try {
histogramPercentileLog = new PrintStream(new FileOutputStream(hgrmOutputFileName), false);
outputTimeRange(histogramPercentileLog, "Overall percentile distribution");
} catch (FileNotFoundException ex) {
System.err.println("Failed to open percentiles histogram output file " + hgrmOutputFileName);
}
if (config.movingWindow) {
String movingWindowOutputFileName = config.outputFileName + ".mwp";
try {
movingWindowLog = new PrintStream(new FileOutputStream(movingWindowOutputFileName), false);
outputTimeRange(movingWindowLog, "Moving window log for " +
config.movingWindowPercentileToReport + " percentile");
} catch (FileNotFoundException ex) {
System.err.println("Failed to open moving window output file " + movingWindowOutputFileName);
}
}
}
EncodableHistogram intervalHistogram = getIntervalHistogram(config.tag);
Histogram accumulatedRegularHistogram = null;
DoubleHistogram accumulatedDoubleHistogram = null;
if (intervalHistogram != null) {
// Shape the accumulated histogram like the histograms in the log file (but clear their contents):
if (intervalHistogram instanceof DoubleHistogram) {
accumulatedDoubleHistogram = ((DoubleHistogram) intervalHistogram).copy();
accumulatedDoubleHistogram.reset();
accumulatedDoubleHistogram.setAutoResize(true);
movingWindowSumHistogram = new DoubleHistogram(3);
} else {
accumulatedRegularHistogram = ((Histogram) intervalHistogram).copy();
accumulatedRegularHistogram.reset();
accumulatedRegularHistogram.setAutoResize(true);
movingWindowSumHistogram = new Histogram(3);
}
}
while (intervalHistogram != null) {
// handle accumulated histogram:
if (intervalHistogram instanceof DoubleHistogram) {
if (accumulatedDoubleHistogram == null) {
throw new IllegalStateException("Encountered a DoubleHistogram line in a log of Histograms.");
}
accumulatedDoubleHistogram.add((DoubleHistogram) intervalHistogram);
} else {
if (accumulatedRegularHistogram == null) {
throw new IllegalStateException("Encountered a Histogram line in a log of DoubleHistograms.");
}
accumulatedRegularHistogram.add((Histogram) intervalHistogram);
}
long windowCutOffTimeStamp = intervalHistogram.getEndTimeStamp() - config.movingWindowLengthInMsec;
// handle moving window:
if (config.movingWindow) {
// Add the current interval histogram to the moving window sums:
if (movingWindowSumHistogram instanceof DoubleHistogram) {
((DoubleHistogram) movingWindowSumHistogram).add((DoubleHistogram) intervalHistogram);
} else {
((Histogram) movingWindowSumHistogram).add((Histogram) intervalHistogram);
}
// Remove previous, now-out-of-window interval histograms from moving window:
while ((movingWindowQueue.peek() != null) &&
(movingWindowQueue.peek().getEndTimeStamp() <= windowCutOffTimeStamp)) {
EncodableHistogram prevHist = movingWindowQueue.remove();
if (movingWindowSumHistogram instanceof DoubleHistogram) {
if (prevHist != null) {
((DoubleHistogram) movingWindowSumHistogram).subtract((DoubleHistogram) prevHist);
}
} else {
if (prevHist != null) {
((Histogram) movingWindowSumHistogram).subtract((Histogram) prevHist);
}
}
}
// Add interval histogram to moving window previous intervals memory:
movingWindowQueue.add(intervalHistogram);
}
if ((firstStartTime == 0.0) && (logReader.getStartTimeSec() != 0.0)) {
firstStartTime = logReader.getStartTimeSec();
outputStartTime(histogramPercentileLog, firstStartTime);
if (timeIntervalLog != null) {
outputStartTime(timeIntervalLog, firstStartTime);
}
}
if (timeIntervalLog != null) {
if (!timeIntervalLogLegendWritten) {
timeIntervalLogLegendWritten = true;
if (config.logFormatCsv) {
timeIntervalLog.println("\"Timestamp\",\"Int_Count\",\"Int_50%\",\"Int_90%\",\"Int_Max\",\"Total_Count\"," +
"\"Total_50%\",\"Total_90%\",\"Total_99%\",\"Total_99.9%\",\"Total_99.99%\",\"Total_Max\"");
} else {
timeIntervalLog.println("Time: IntervalPercentiles:count ( 50% 90% Max ) TotalPercentiles:count ( 50% 90% 99% 99.9% 99.99% Max )");
}
}
if (intervalHistogram instanceof DoubleHistogram) {
timeIntervalLog.format(Locale.US, logFormat,
((intervalHistogram.getEndTimeStamp() / 1000.0) - logReader.getStartTimeSec()),
// values recorded during the last reporting interval
((DoubleHistogram) intervalHistogram).getTotalCount(),
((DoubleHistogram) intervalHistogram).getValueAtPercentile(50.0) / config.outputValueUnitRatio,
((DoubleHistogram) intervalHistogram).getValueAtPercentile(90.0) / config.outputValueUnitRatio,
((DoubleHistogram) intervalHistogram).getMaxValue() / config.outputValueUnitRatio,
// values recorded from the beginning until now
accumulatedDoubleHistogram.getTotalCount(),
accumulatedDoubleHistogram.getValueAtPercentile(50.0) / config.outputValueUnitRatio,
accumulatedDoubleHistogram.getValueAtPercentile(90.0) / config.outputValueUnitRatio,
accumulatedDoubleHistogram.getValueAtPercentile(99.0) / config.outputValueUnitRatio,
accumulatedDoubleHistogram.getValueAtPercentile(99.9) / config.outputValueUnitRatio,
accumulatedDoubleHistogram.getValueAtPercentile(99.99) / config.outputValueUnitRatio,
accumulatedDoubleHistogram.getMaxValue() / config.outputValueUnitRatio
);
} else {
timeIntervalLog.format(Locale.US, logFormat,
((intervalHistogram.getEndTimeStamp() / 1000.0) - logReader.getStartTimeSec()),
// values recorded during the last reporting interval
((Histogram) intervalHistogram).getTotalCount(),
((Histogram) intervalHistogram).getValueAtPercentile(50.0) / config.outputValueUnitRatio,
((Histogram) intervalHistogram).getValueAtPercentile(90.0) / config.outputValueUnitRatio,
((Histogram) intervalHistogram).getMaxValue() / config.outputValueUnitRatio,
// values recorded from the beginning until now
accumulatedRegularHistogram.getTotalCount(),
accumulatedRegularHistogram.getValueAtPercentile(50.0) / config.outputValueUnitRatio,
accumulatedRegularHistogram.getValueAtPercentile(90.0) / config.outputValueUnitRatio,
accumulatedRegularHistogram.getValueAtPercentile(99.0) / config.outputValueUnitRatio,
accumulatedRegularHistogram.getValueAtPercentile(99.9) / config.outputValueUnitRatio,
accumulatedRegularHistogram.getValueAtPercentile(99.99) / config.outputValueUnitRatio,
accumulatedRegularHistogram.getMaxValue() / config.outputValueUnitRatio
);
}
}
if (movingWindowLog != null) {
if (!movingWindowLogLegendWritten) {
movingWindowLogLegendWritten = true;
if (config.logFormatCsv) {
movingWindowLog.println("\"Timestamp\",\"Window_Count\",\"" +
config.movingWindowPercentileToReport +"%'ile\",\"Max\"");
} else {
movingWindowLog.println("Time: WindoCount " + config.movingWindowPercentileToReport + "%'ile Max");
}
}
if (intervalHistogram instanceof DoubleHistogram) {
movingWindowLog.format(Locale.US, movingWindowLogFormat,
((intervalHistogram.getEndTimeStamp() / 1000.0) - logReader.getStartTimeSec()),
// values recorded during the last reporting interval
((DoubleHistogram) movingWindowSumHistogram).getTotalCount(),
((DoubleHistogram) movingWindowSumHistogram).getValueAtPercentile(config.movingWindowPercentileToReport) / config.outputValueUnitRatio,
((DoubleHistogram) movingWindowSumHistogram).getMaxValue() / config.outputValueUnitRatio
);
} else {
movingWindowLog.format(Locale.US, movingWindowLogFormat,
((intervalHistogram.getEndTimeStamp() / 1000.0) - logReader.getStartTimeSec()),
// values recorded during the last reporting interval
((Histogram) movingWindowSumHistogram).getTotalCount(),
((Histogram) movingWindowSumHistogram).getValueAtPercentile(config.movingWindowPercentileToReport) / config.outputValueUnitRatio,
((Histogram) movingWindowSumHistogram).getMaxValue() / config.outputValueUnitRatio
);
}
}
intervalHistogram = getIntervalHistogram(config.tag);
}
if (accumulatedDoubleHistogram != null) {
accumulatedDoubleHistogram.outputPercentileDistribution(histogramPercentileLog,
config.percentilesOutputTicksPerHalf, config.outputValueUnitRatio, config.logFormatCsv);
} else {
if (accumulatedRegularHistogram == null) {
// If there were no histograms in the log file, we still need an empty histogram for the
// one line output (shape/range doesn't matter because it is empty):
accumulatedRegularHistogram = new Histogram(1000000L, 2);
}
accumulatedRegularHistogram.outputPercentileDistribution(histogramPercentileLog,
config.percentilesOutputTicksPerHalf, config.outputValueUnitRatio, config.logFormatCsv);
}
} finally {
if (config.outputFileName != null) {
timeIntervalLog.close();
histogramPercentileLog.close();
}
}
}
/**
* Construct a {@link org.HdrHistogram.HistogramLogProcessor} with the given arguments
* (provided in command line style).
*
* [-h] help
* [-csv] Use CSV format for output log files
* [-i logFileName] File name of Histogram Log to process (default is standard input)
* [-o outputFileName] File name to output to (default is standard output)
* (will replace occurrences of %pid and %date with appropriate information)
* [-start rangeStartTimeSec] The start time for the range in the file, in seconds (default 0.0)
* [-end rangeEndTimeSec] The end time for the range in the file, in seconds (default is infinite)
* [-outputValueUnitRatio r] The scaling factor by which to divide histogram recorded values units
* in output. [default = 1000000.0 (1 msec in nsec)]"
*
* @param args command line arguments
* @throws FileNotFoundException if specified input file is not found
*/
public HistogramLogProcessor(final String[] args) throws FileNotFoundException {
this.setName("HistogramLogProcessor");
config = new HistogramLogProcessorConfiguration(args);
if (config.inputFileName != null) {
logReader = new HistogramLogReader(config.inputFileName);
} else {
logReader = new HistogramLogReader(System.in);
}
}
/**
* main() method.
*
* @param args command line arguments
*/
public static void main(final String[] args) {
final HistogramLogProcessor processor;
try {
processor = new HistogramLogProcessor(args);
processor.start();
} catch (FileNotFoundException ex) {
System.err.println("failed to open input file.");
}
}
}