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Performance optimization for bloom filters.
This reduces a peer's ability to attack network resources by using a full bloom filter, but without reducing the usability of bloom filters. It sets a default match everything filter for peers and it generalizes a prior optimization to cover more cases.
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@ -23,6 +23,8 @@ vData(min((unsigned int)(-1 / LN2SQUARED * nElements * log(nFPRate)), MAX_BLOOM
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// The ideal number of hash functions is filter size * ln(2) / number of elements
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// Again, we ignore filter parameters which will create a bloom filter with more hash functions than the protocol limits
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// See http://en.wikipedia.org/wiki/Bloom_filter for an explanation of these formulas
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isFull(false),
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isEmpty(false),
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nHashFuncs(min((unsigned int)(vData.size() * 8 / nElements * LN2), MAX_HASH_FUNCS)),
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nTweak(nTweakIn),
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nFlags(nFlagsIn)
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@ -37,7 +39,7 @@ inline unsigned int CBloomFilter::Hash(unsigned int nHashNum, const std::vector<
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void CBloomFilter::insert(const vector<unsigned char>& vKey)
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{
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if (vData.size() == 1 && vData[0] == 0xff)
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if (isFull)
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return;
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for (unsigned int i = 0; i < nHashFuncs; i++)
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{
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@ -45,6 +47,7 @@ void CBloomFilter::insert(const vector<unsigned char>& vKey)
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// Sets bit nIndex of vData
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vData[nIndex >> 3] |= bit_mask[7 & nIndex];
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}
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isEmpty = false;
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}
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void CBloomFilter::insert(const COutPoint& outpoint)
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@ -63,8 +66,10 @@ void CBloomFilter::insert(const uint256& hash)
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bool CBloomFilter::contains(const vector<unsigned char>& vKey) const
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{
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if (vData.size() == 1 && vData[0] == 0xff)
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if (isFull)
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return true;
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if (isEmpty)
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return false;
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for (unsigned int i = 0; i < nHashFuncs; i++)
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{
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unsigned int nIndex = Hash(i, vKey);
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@ -99,6 +104,10 @@ bool CBloomFilter::IsRelevantAndUpdate(const CTransaction& tx, const uint256& ha
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bool fFound = false;
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// Match if the filter contains the hash of tx
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// for finding tx when they appear in a block
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if (isFull)
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return true;
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if (isEmpty)
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return false;
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if (contains(hash))
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fFound = true;
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@ -158,3 +167,16 @@ bool CBloomFilter::IsRelevantAndUpdate(const CTransaction& tx, const uint256& ha
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return false;
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}
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void CBloomFilter::UpdateEmptyFull()
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{
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bool full = true;
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bool empty = true;
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for (unsigned int i = 0; i < vData.size(); i++)
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{
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full &= vData[i] == 0xff;
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empty &= vData[i] == 0;
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}
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isFull = full;
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isEmpty = empty;
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}
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@ -42,6 +42,8 @@ class CBloomFilter
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{
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private:
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std::vector<unsigned char> vData;
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bool isFull;
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bool isEmpty;
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unsigned int nHashFuncs;
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unsigned int nTweak;
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unsigned char nFlags;
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@ -57,9 +59,7 @@ public:
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// It should generally always be a random value (and is largely only exposed for unit testing)
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// nFlags should be one of the BLOOM_UPDATE_* enums (not _MASK)
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CBloomFilter(unsigned int nElements, double nFPRate, unsigned int nTweak, unsigned char nFlagsIn);
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// Using a filter initialized with this results in undefined behavior
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// Should only be used for deserialization
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CBloomFilter() {}
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CBloomFilter() : isFull(true) {}
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IMPLEMENT_SERIALIZE
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(
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@ -83,6 +83,9 @@ public:
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// Also adds any outputs which match the filter to the filter (to match their spending txes)
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bool IsRelevantAndUpdate(const CTransaction& tx, const uint256& hash);
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// Checks for empty and full filters to avoid wasting cpu
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void UpdateEmptyFull();
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};
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#endif /* BITCOIN_BLOOM_H */
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@ -3893,6 +3893,7 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
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LOCK(pfrom->cs_filter);
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delete pfrom->pfilter;
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pfrom->pfilter = new CBloomFilter(filter);
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filter.UpdateEmptyFull();
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}
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pfrom->fRelayTxes = true;
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}
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@ -3922,7 +3923,7 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
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{
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LOCK(pfrom->cs_filter);
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delete pfrom->pfilter;
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pfrom->pfilter = NULL;
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pfrom->pfilter = new CBloomFilter();
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pfrom->fRelayTxes = true;
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}
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