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* origin/topic/bernhard/topk: update documentation, rename get* to Get* and make hasher persistent Conflicts: src/probabilistic/Topk.cc src/probabilistic/Topk.h src/probabilistic/top-k.bif
147 lines
3.5 KiB
C++
147 lines
3.5 KiB
C++
// See the file "COPYING" in the main distribution directory for copyright.
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#ifndef topk_h
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#define topk_h
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#include <list>
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#include "Val.h"
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#include "CompHash.h"
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#include "OpaqueVal.h"
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// This class implements the top-k algorithm. Or - to be more precise - an
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// interpretation of it.
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namespace probabilistic {
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struct Element;
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struct Bucket {
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uint64 count;
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std::list<Element*> elements;
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// iterators only get invalidated for removed elements. This one
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// points to us - so it is invalid when we are no longer there. Cute,
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// isn't it?
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std::list<Bucket*>::iterator bucketPos;
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};
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struct Element {
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uint64 epsilon;
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Val* value;
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Bucket* parent;
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~Element();
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};
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declare(PDict, Element);
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class TopkVal : public OpaqueVal {
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public:
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/**
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* Construct a TopkVal.
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*
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* @param size specifies how many total elements are tracked
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*
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* @return A newly initialized TopkVal
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*/
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TopkVal(uint64 size);
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/**
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* Destructor.
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*/
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~TopkVal();
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/**
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* Call this, when a new value is encountered. Note that on the first call,
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* the Bro-Type of the value types that are counted is set. All following calls
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* to encountered have to specify the same type.
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*
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* @param value The encountered element
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*/
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void Encountered(Val* value);
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/**
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* Get the first k elements of the result vector. At the moment, this does
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* not check if it is in the right order or if we can prove that these are
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* the correct top-k. Use count and epsilon for this.
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*
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* @param k Number of top-elements to return
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*
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* @returns The top-k encountered elements
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*/
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VectorVal* GetTopK(int k) const;
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/**
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* Get the current count tracked in the top-k data structure for a certain val.
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* Returns 0 if the val is unknown (and logs the error to reporter)
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*
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* @param value Bro value to get counts for
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*
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* @returns internal count for val, 0 if unknown
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*/
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uint64_t GetCount(Val* value) const;
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/**
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* Get the current epsilon tracked in the top-k data structure for a certain val.
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*
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* @param value Bro value to get epsilons for
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*
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* @returns the epsilon. Returns 0 if the val is unknown (and logs the error to reporter)
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*/
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uint64_t GetEpsilon(Val* value) const;
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/**
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* Get the size set in the constructor
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*
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* @returns size of the top-k structure
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*/
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uint64_t GetSize() const { return size; }
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/**
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* Get the sum of all counts of all tracked elements. This is equal to the number
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* of total observations up to this moment, if no elements were pruned from the data
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* structure.
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*
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* @returns sum of all counts
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*/
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uint64_t GetSum() const;
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/**
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* Merge another top-k data structure into this one.
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* doPrune specifies if the total count of elements is limited to size after
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* merging.
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* Please note, that pruning will invalidate the results of getSum.
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*
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* @param value TopkVal to merge into this TopkVal
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*
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* @param doPrune prune resulting TopkVal to size after merging
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*/
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void Merge(const TopkVal* value, bool doPrune=false);
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protected:
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/**
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* Construct an empty TopkVal.
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* Only used for deserialization
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*/
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TopkVal();
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private:
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void IncrementCounter(Element* e, unsigned int count = 1);
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HashKey* GetHash(Val*) const; // this probably should go somewhere else.
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void Typify(BroType*);
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BroType* type;
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CompositeHash* hash;
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std::list<Bucket*> buckets;
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PDict(Element)* elementDict;
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uint64 size; // how many elements are we tracking?
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uint64 numElements; // how many elements do we have at the moment
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bool pruned; // was this data structure pruned?
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DECLARE_SERIAL(TopkVal);
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};
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};
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#endif
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