hotspot/src/share/vm/utilities/intHisto.hpp
author coleenp
Tue, 09 Jun 2015 10:26:25 -0400
changeset 31335 60081f497e75
parent 13963 e5b53c306fb5
permissions -rw-r--r--
8035074: hs_err improvement: Add time zone information in the hs_err file 8026335: hs_err improvement: Print exact compressed oops mode and the heap base value. 8026331: hs_err improvement: Print if we have seen any OutOfMemoryErrors or StackOverflowErrors Summary: Add requested things to hs_err file. Reviewed-by: ctornqvi, dholmes

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#ifndef SHARE_VM_UTILITIES_INTHISTO_HPP
#define SHARE_VM_UTILITIES_INTHISTO_HPP

#include "memory/allocation.hpp"
#include "utilities/growableArray.hpp"

// This class implements a simple histogram.

// A histogram summarizes a series of "measurements", each of which is
// assumed (required in this implementation) to have an outcome that is a
// non-negative integer.  The histogram efficiently maps measurement outcomes
// to the number of measurements had that outcome.

// To print the results, invoke print() on your Histogram*.

// Note: there is already an existing "Histogram" class, in file
// histogram.{hpp,cpp}, but to my mind that's not a histogram, it's a table
// mapping strings to counts.  To be a histogram (IMHO) it needs to map
// numbers (in fact, integers) to number of occurrences of that number.

// ysr: (i am not sure i agree with the above note.) i suspect we want to have a
// histogram template that will map an arbitrary type (with a defined order
// relation) to a count.


class IntHistogram : public CHeapObj<mtInternal> {
 protected:
  int _max;
  int _tot;
  GrowableArray<int>* _elements;

public:
  // Create a new, empty table.  "est" is an estimate of the maximum outcome
  // that will be added, and "max" is an outcome such that all outcomes at
  // least that large will be bundled with it.
  IntHistogram(int est, int max);
  // Add a measurement with the given outcome to the sequence.
  void add_entry(int outcome);
  // Return the number of entries recorded so far with the given outcome.
  int  entries_for_outcome(int outcome);
  // Return the total number of entries recorded so far.
  int  total_entries() { return _tot; }
  // Return the number of entries recorded so far with the given outcome as
  // a fraction of the total number recorded so far.
  double fraction_for_outcome(int outcome) {
    return
      (double)entries_for_outcome(outcome)/
      (double)total_entries();
  }
  // Print the histogram on the given output stream.
  void print_on(outputStream* st) const;
};

#endif // SHARE_VM_UTILITIES_INTHISTO_HPP