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authorGavin Andresen <gavinandresen@gmail.com>2013-01-17 10:04:08 -0800
committerGavin Andresen <gavinandresen@gmail.com>2013-01-17 10:04:08 -0800
commit91f70a75daa7ffb89bbec23ca54e5f2c3fa1a83e (patch)
treed710cfa159d9077e6272b83491a126fb56ff3958 /src
parenta1f4909e0bc9cfb27df314b84a8624685549e6fe (diff)
parentc51694eb9b9db915beb1da8d76667d94f4f74c75 (diff)
Merge pull request #1795 from TheBlueMatt/bloom
Bloom filters
Diffstat (limited to 'src')
-rw-r--r--src/bloom.cpp156
-rw-r--r--src/bloom.h88
-rw-r--r--src/hash.cpp58
-rw-r--r--src/hash.h3
-rw-r--r--src/main.cpp248
-rw-r--r--src/main.h134
-rw-r--r--src/makefile.linux-mingw2
-rw-r--r--src/makefile.mingw2
-rw-r--r--src/makefile.osx2
-rw-r--r--src/makefile.unix2
-rw-r--r--src/net.cpp46
-rw-r--r--src/net.h61
-rw-r--r--src/protocol.cpp1
-rw-r--r--src/protocol.h3
-rw-r--r--src/rpcrawtransaction.cpp2
-rw-r--r--src/test/bloom_tests.cpp447
-rw-r--r--src/test/pmt_tests.cpp98
-rw-r--r--src/uint256.h12
-rw-r--r--src/version.h2
-rw-r--r--src/wallet.cpp7
20 files changed, 1312 insertions, 62 deletions
diff --git a/src/bloom.cpp b/src/bloom.cpp
new file mode 100644
index 0000000000..36f5e50134
--- /dev/null
+++ b/src/bloom.cpp
@@ -0,0 +1,156 @@
+// Copyright (c) 2012 The Bitcoin developers
+// Distributed under the MIT/X11 software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+#include <math.h>
+#include <stdlib.h>
+
+#include "bloom.h"
+#include "main.h"
+#include "script.h"
+
+#define LN2SQUARED 0.4804530139182014246671025263266649717305529515945455
+#define LN2 0.6931471805599453094172321214581765680755001343602552
+
+using namespace std;
+
+static const unsigned char bit_mask[8] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80};
+
+CBloomFilter::CBloomFilter(unsigned int nElements, double nFPRate, unsigned int nTweakIn, unsigned char nFlagsIn) :
+// The ideal size for a bloom filter with a given number of elements and false positive rate is:
+// - nElements * log(fp rate) / ln(2)^2
+// We ignore filter parameters which will create a bloom filter larger than the protocol limits
+vData(min((unsigned int)(-1 / LN2SQUARED * nElements * log(nFPRate)), MAX_BLOOM_FILTER_SIZE * 8) / 8),
+// The ideal number of hash functions is filter size * ln(2) / number of elements
+// Again, we ignore filter parameters which will create a bloom filter with more hash functions than the protocol limits
+// See http://en.wikipedia.org/wiki/Bloom_filter for an explanation of these formulas
+nHashFuncs(min((unsigned int)(vData.size() * 8 / nElements * LN2), MAX_HASH_FUNCS)),
+nTweak(nTweakIn),
+nFlags(nFlagsIn)
+{
+}
+
+inline unsigned int CBloomFilter::Hash(unsigned int nHashNum, const std::vector<unsigned char>& vDataToHash) const
+{
+ // 0xFBA4C795 chosen as it guarantees a reasonable bit difference between nHashNum values.
+ return MurmurHash3(nHashNum * 0xFBA4C795 + nTweak, vDataToHash) % (vData.size() * 8);
+}
+
+void CBloomFilter::insert(const vector<unsigned char>& vKey)
+{
+ for (unsigned int i = 0; i < nHashFuncs; i++)
+ {
+ unsigned int nIndex = Hash(i, vKey);
+ // Sets bit nIndex of vData
+ vData[nIndex >> 3] |= bit_mask[7 & nIndex];
+ }
+}
+
+void CBloomFilter::insert(const COutPoint& outpoint)
+{
+ CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
+ stream << outpoint;
+ vector<unsigned char> data(stream.begin(), stream.end());
+ insert(data);
+}
+
+void CBloomFilter::insert(const uint256& hash)
+{
+ vector<unsigned char> data(hash.begin(), hash.end());
+ insert(data);
+}
+
+bool CBloomFilter::contains(const vector<unsigned char>& vKey) const
+{
+ for (unsigned int i = 0; i < nHashFuncs; i++)
+ {
+ unsigned int nIndex = Hash(i, vKey);
+ // Checks bit nIndex of vData
+ if (!(vData[nIndex >> 3] & bit_mask[7 & nIndex]))
+ return false;
+ }
+ return true;
+}
+
+bool CBloomFilter::contains(const COutPoint& outpoint) const
+{
+ CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
+ stream << outpoint;
+ vector<unsigned char> data(stream.begin(), stream.end());
+ return contains(data);
+}
+
+bool CBloomFilter::contains(const uint256& hash) const
+{
+ vector<unsigned char> data(hash.begin(), hash.end());
+ return contains(data);
+}
+
+bool CBloomFilter::IsWithinSizeConstraints() const
+{
+ return vData.size() <= MAX_BLOOM_FILTER_SIZE && nHashFuncs <= MAX_HASH_FUNCS;
+}
+
+bool CBloomFilter::IsRelevantAndUpdate(const CTransaction& tx, const uint256& hash)
+{
+ bool fFound = false;
+ // Match if the filter contains the hash of tx
+ // for finding tx when they appear in a block
+ if (contains(hash))
+ fFound = true;
+
+ for (unsigned int i = 0; i < tx.vout.size(); i++)
+ {
+ const CTxOut& txout = tx.vout[i];
+ // Match if the filter contains any arbitrary script data element in any scriptPubKey in tx
+ // If this matches, also add the specific output that was matched.
+ // This means clients don't have to update the filter themselves when a new relevant tx
+ // is discovered in order to find spending transactions, which avoids round-tripping and race conditions.
+ CScript::const_iterator pc = txout.scriptPubKey.begin();
+ vector<unsigned char> data;
+ while (pc < txout.scriptPubKey.end())
+ {
+ opcodetype opcode;
+ if (!txout.scriptPubKey.GetOp(pc, opcode, data))
+ break;
+ if (data.size() != 0 && contains(data))
+ {
+ fFound = true;
+ if ((nFlags & BLOOM_UPDATE_MASK) == BLOOM_UPDATE_ALL)
+ insert(COutPoint(hash, i));
+ else if ((nFlags & BLOOM_UPDATE_MASK) == BLOOM_UPDATE_P2PUBKEY_ONLY)
+ {
+ txnouttype type;
+ vector<vector<unsigned char> > vSolutions;
+ if (Solver(txout.scriptPubKey, type, vSolutions) &&
+ (type == TX_PUBKEY || type == TX_MULTISIG))
+ insert(COutPoint(hash, i));
+ }
+ break;
+ }
+ }
+ }
+
+ if (fFound)
+ return true;
+
+ BOOST_FOREACH(const CTxIn& txin, tx.vin)
+ {
+ // Match if the filter contains an outpoint tx spends
+ if (contains(txin.prevout))
+ return true;
+
+ // Match if the filter contains any arbitrary script data element in any scriptSig in tx
+ CScript::const_iterator pc = txin.scriptSig.begin();
+ vector<unsigned char> data;
+ while (pc < txin.scriptSig.end())
+ {
+ opcodetype opcode;
+ if (!txin.scriptSig.GetOp(pc, opcode, data))
+ break;
+ if (data.size() != 0 && contains(data))
+ return true;
+ }
+ }
+
+ return false;
+}
diff --git a/src/bloom.h b/src/bloom.h
new file mode 100644
index 0000000000..389ae748e6
--- /dev/null
+++ b/src/bloom.h
@@ -0,0 +1,88 @@
+// Copyright (c) 2012 The Bitcoin developers
+// Distributed under the MIT/X11 software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+#ifndef BITCOIN_BLOOM_H
+#define BITCOIN_BLOOM_H
+
+#include <vector>
+
+#include "uint256.h"
+#include "serialize.h"
+
+class COutPoint;
+class CTransaction;
+
+// 20,000 items with fp rate < 0.1% or 10,000 items and <0.0001%
+static const unsigned int MAX_BLOOM_FILTER_SIZE = 36000; // bytes
+static const unsigned int MAX_HASH_FUNCS = 50;
+
+// First two bits of nFlags control how much IsRelevantAndUpdate actually updates
+// The remaining bits are reserved
+enum bloomflags
+{
+ BLOOM_UPDATE_NONE = 0,
+ BLOOM_UPDATE_ALL = 1,
+ // Only adds outpoints to the filter if the output is a pay-to-pubkey/pay-to-multisig script
+ BLOOM_UPDATE_P2PUBKEY_ONLY = 2,
+ BLOOM_UPDATE_MASK = 3,
+};
+
+/**
+ * BloomFilter is a probabilistic filter which SPV clients provide
+ * so that we can filter the transactions we sends them.
+ *
+ * This allows for significantly more efficient transaction and block downloads.
+ *
+ * Because bloom filters are probabilistic, an SPV node can increase the false-
+ * positive rate, making us send them transactions which aren't actually theirs,
+ * allowing clients to trade more bandwidth for more privacy by obfuscating which
+ * keys are owned by them.
+ */
+class CBloomFilter
+{
+private:
+ std::vector<unsigned char> vData;
+ unsigned int nHashFuncs;
+ unsigned int nTweak;
+ unsigned char nFlags;
+
+ unsigned int Hash(unsigned int nHashNum, const std::vector<unsigned char>& vDataToHash) const;
+
+public:
+ // Creates a new bloom filter which will provide the given fp rate when filled with the given number of elements
+ // Note that if the given parameters will result in a filter outside the bounds of the protocol limits,
+ // the filter created will be as close to the given parameters as possible within the protocol limits.
+ // This will apply if nFPRate is very low or nElements is unreasonably high.
+ // nTweak is a constant which is added to the seed value passed to the hash function
+ // It should generally always be a random value (and is largely only exposed for unit testing)
+ // nFlags should be one of the BLOOM_UPDATE_* enums (not _MASK)
+ CBloomFilter(unsigned int nElements, double nFPRate, unsigned int nTweak, unsigned char nFlagsIn);
+ // Using a filter initialized with this results in undefined behavior
+ // Should only be used for deserialization
+ CBloomFilter() {}
+
+ IMPLEMENT_SERIALIZE
+ (
+ READWRITE(vData);
+ READWRITE(nHashFuncs);
+ READWRITE(nTweak);
+ READWRITE(nFlags);
+ )
+
+ void insert(const std::vector<unsigned char>& vKey);
+ void insert(const COutPoint& outpoint);
+ void insert(const uint256& hash);
+
+ bool contains(const std::vector<unsigned char>& vKey) const;
+ bool contains(const COutPoint& outpoint) const;
+ bool contains(const uint256& hash) const;
+
+ // True if the size is <= MAX_BLOOM_FILTER_SIZE and the number of hash functions is <= MAX_HASH_FUNCS
+ // (catch a filter which was just deserialized which was too big)
+ bool IsWithinSizeConstraints() const;
+
+ // Also adds any outputs which match the filter to the filter (to match their spending txes)
+ bool IsRelevantAndUpdate(const CTransaction& tx, const uint256& hash);
+};
+
+#endif /* BITCOIN_BLOOM_H */
diff --git a/src/hash.cpp b/src/hash.cpp
new file mode 100644
index 0000000000..bddd8abf38
--- /dev/null
+++ b/src/hash.cpp
@@ -0,0 +1,58 @@
+#include "hash.h"
+
+inline uint32_t ROTL32 ( uint32_t x, int8_t r )
+{
+ return (x << r) | (x >> (32 - r));
+}
+
+unsigned int MurmurHash3(unsigned int nHashSeed, const std::vector<unsigned char>& vDataToHash)
+{
+ // The following is MurmurHash3 (x86_32), see http://code.google.com/p/smhasher/source/browse/trunk/MurmurHash3.cpp
+ uint32_t h1 = nHashSeed;
+ const uint32_t c1 = 0xcc9e2d51;
+ const uint32_t c2 = 0x1b873593;
+
+ const int nblocks = vDataToHash.size() / 4;
+
+ //----------
+ // body
+ const uint32_t * blocks = (const uint32_t *)(&vDataToHash[0] + nblocks*4);
+
+ for(int i = -nblocks; i; i++)
+ {
+ uint32_t k1 = blocks[i];
+
+ k1 *= c1;
+ k1 = ROTL32(k1,15);
+ k1 *= c2;
+
+ h1 ^= k1;
+ h1 = ROTL32(h1,13);
+ h1 = h1*5+0xe6546b64;
+ }
+
+ //----------
+ // tail
+ const uint8_t * tail = (const uint8_t*)(&vDataToHash[0] + nblocks*4);
+
+ uint32_t k1 = 0;
+
+ switch(vDataToHash.size() & 3)
+ {
+ case 3: k1 ^= tail[2] << 16;
+ case 2: k1 ^= tail[1] << 8;
+ case 1: k1 ^= tail[0];
+ k1 *= c1; k1 = ROTL32(k1,15); k1 *= c2; h1 ^= k1;
+ };
+
+ //----------
+ // finalization
+ h1 ^= vDataToHash.size();
+ h1 ^= h1 >> 16;
+ h1 *= 0x85ebca6b;
+ h1 ^= h1 >> 13;
+ h1 *= 0xc2b2ae35;
+ h1 ^= h1 >> 16;
+
+ return h1;
+}
diff --git a/src/hash.h b/src/hash.h
index bc013139bb..eaa1780c04 100644
--- a/src/hash.h
+++ b/src/hash.h
@@ -10,6 +10,7 @@
#include <openssl/sha.h>
#include <openssl/ripemd.h>
+#include <vector>
template<typename T1>
inline uint256 Hash(const T1 pbegin, const T1 pend)
@@ -113,4 +114,6 @@ inline uint160 Hash160(const std::vector<unsigned char>& vch)
return hash2;
}
+unsigned int MurmurHash3(unsigned int nHashSeed, const std::vector<unsigned char>& vDataToHash);
+
#endif
diff --git a/src/main.cpp b/src/main.cpp
index cb7975af0a..1eb4124c16 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -2239,6 +2239,160 @@ bool ProcessBlock(CNode* pfrom, CBlock* pblock, CDiskBlockPos *dbp)
+CMerkleBlock::CMerkleBlock(const CBlock& block, CBloomFilter& filter)
+{
+ header = block.GetBlockHeader();
+
+ vector<bool> vMatch;
+ vector<uint256> vHashes;
+
+ vMatch.reserve(block.vtx.size());
+ vHashes.reserve(block.vtx.size());
+
+ for (unsigned int i = 0; i < block.vtx.size(); i++)
+ {
+ uint256 hash = block.vtx[i].GetHash();
+ if (filter.IsRelevantAndUpdate(block.vtx[i], hash))
+ {
+ vMatch.push_back(true);
+ vMatchedTxn.push_back(make_pair(i, hash));
+ }
+ else
+ vMatch.push_back(false);
+ vHashes.push_back(hash);
+ }
+
+ txn = CPartialMerkleTree(vHashes, vMatch);
+}
+
+
+
+
+
+
+
+
+uint256 CPartialMerkleTree::CalcHash(int height, unsigned int pos, const std::vector<uint256> &vTxid) {
+ if (height == 0) {
+ // hash at height 0 is the txids themself
+ return vTxid[pos];
+ } else {
+ // calculate left hash
+ uint256 left = CalcHash(height-1, pos*2, vTxid), right;
+ // calculate right hash if not beyong the end of the array - copy left hash otherwise1
+ if (pos*2+1 < CalcTreeWidth(height-1))
+ right = CalcHash(height-1, pos*2+1, vTxid);
+ else
+ right = left;
+ // combine subhashes
+ return Hash(BEGIN(left), END(left), BEGIN(right), END(right));
+ }
+}
+
+void CPartialMerkleTree::TraverseAndBuild(int height, unsigned int pos, const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch) {
+ // determine whether this node is the parent of at least one matched txid
+ bool fParentOfMatch = false;
+ for (unsigned int p = pos << height; p < (pos+1) << height && p < nTransactions; p++)
+ fParentOfMatch |= vMatch[p];
+ // store as flag bit
+ vBits.push_back(fParentOfMatch);
+ if (height==0 || !fParentOfMatch) {
+ // if at height 0, or nothing interesting below, store hash and stop
+ vHash.push_back(CalcHash(height, pos, vTxid));
+ } else {
+ // otherwise, don't store any hash, but descend into the subtrees
+ TraverseAndBuild(height-1, pos*2, vTxid, vMatch);
+ if (pos*2+1 < CalcTreeWidth(height-1))
+ TraverseAndBuild(height-1, pos*2+1, vTxid, vMatch);
+ }
+}
+
+uint256 CPartialMerkleTree::TraverseAndExtract(int height, unsigned int pos, unsigned int &nBitsUsed, unsigned int &nHashUsed, std::vector<uint256> &vMatch) {
+ if (nBitsUsed >= vBits.size()) {
+ // overflowed the bits array - failure
+ fBad = true;
+ return 0;
+ }
+ bool fParentOfMatch = vBits[nBitsUsed++];
+ if (height==0 || !fParentOfMatch) {
+ // if at height 0, or nothing interesting below, use stored hash and do not descend
+ if (nHashUsed >= vHash.size()) {
+ // overflowed the hash array - failure
+ fBad = true;
+ return 0;
+ }
+ const uint256 &hash = vHash[nHashUsed++];
+ if (height==0 && fParentOfMatch) // in case of height 0, we have a matched txid
+ vMatch.push_back(hash);
+ return hash;
+ } else {
+ // otherwise, descend into the subtrees to extract matched txids and hashes
+ uint256 left = TraverseAndExtract(height-1, pos*2, nBitsUsed, nHashUsed, vMatch), right;
+ if (pos*2+1 < CalcTreeWidth(height-1))
+ right = TraverseAndExtract(height-1, pos*2+1, nBitsUsed, nHashUsed, vMatch);
+ else
+ right = left;
+ // and combine them before returning
+ return Hash(BEGIN(left), END(left), BEGIN(right), END(right));
+ }
+}
+
+CPartialMerkleTree::CPartialMerkleTree(const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch) : nTransactions(vTxid.size()), fBad(false) {
+ // reset state
+ vBits.clear();
+ vHash.clear();
+
+ // calculate height of tree
+ int nHeight = 0;
+ while (CalcTreeWidth(nHeight) > 1)
+ nHeight++;
+
+ // traverse the partial tree
+ TraverseAndBuild(nHeight, 0, vTxid, vMatch);
+}
+
+CPartialMerkleTree::CPartialMerkleTree() : nTransactions(0), fBad(true) {}
+
+uint256 CPartialMerkleTree::ExtractMatches(std::vector<uint256> &vMatch) {
+ vMatch.clear();
+ // An empty set will not work
+ if (nTransactions == 0)
+ return 0;
+ // check for excessively high numbers of transactions
+ if (nTransactions > MAX_BLOCK_SIZE / 60) // 60 is the lower bound for the size of a serialized CTransaction
+ return 0;
+ // there can never be more hashes provided than one for every txid
+ if (vHash.size() > nTransactions)
+ return 0;
+ // there must be at least one bit per node in the partial tree, and at least one node per hash
+ if (vBits.size() < vHash.size())
+ return 0;
+ // calculate height of tree
+ int nHeight = 0;
+ while (CalcTreeWidth(nHeight) > 1)
+ nHeight++;
+ // traverse the partial tree
+ unsigned int nBitsUsed = 0, nHashUsed = 0;
+ uint256 hashMerkleRoot = TraverseAndExtract(nHeight, 0, nBitsUsed, nHashUsed, vMatch);
+ // verify that no problems occured during the tree traversal
+ if (fBad)
+ return 0;
+ // verify that all bits were consumed (except for the padding caused by serializing it as a byte sequence)
+ if ((nBitsUsed+7)/8 != (vBits.size()+7)/8)
+ return 0;
+ // verify that all hashes were consumed
+ if (nHashUsed != vHash.size())
+ return 0;
+ return hashMerkleRoot;
+}
+
+
+
+
+
+
+
+
bool CheckDiskSpace(uint64 nAdditionalBytes)
{
uint64 nFreeBytesAvailable = filesystem::space(GetDataDir()).available;
@@ -2815,6 +2969,10 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
vRecv >> pfrom->strSubVer;
if (!vRecv.empty())
vRecv >> pfrom->nStartingHeight;
+ if (!vRecv.empty())
+ vRecv >> pfrom->fRelayTxes; // set to true after we get the first filter* message
+ else
+ pfrom->fRelayTxes = true;
if (pfrom->fInbound && addrMe.IsRoutable())
{
@@ -3045,7 +3203,7 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
if (fDebugNet || (vInv.size() == 1))
printf("received getdata for: %s\n", inv.ToString().c_str());
- if (inv.type == MSG_BLOCK)
+ if (inv.type == MSG_BLOCK || inv.type == MSG_FILTERED_BLOCK)
{
// Send block from disk
map<uint256, CBlockIndex*>::iterator mi = mapBlockIndex.find(inv.hash);
@@ -3053,7 +3211,29 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
{
CBlock block;
block.ReadFromDisk((*mi).second);
- pfrom->PushMessage("block", block);
+ if (inv.type == MSG_BLOCK)
+ pfrom->PushMessage("block", block);
+ else // MSG_FILTERED_BLOCK)
+ {
+ LOCK(pfrom->cs_filter);
+ if (pfrom->pfilter)
+ {
+ CMerkleBlock merkleBlock(block, *pfrom->pfilter);
+ // CMerkleBlock just contains hashes, so also push any transactions in the block the client did not see
+ // This avoids hurting performance by pointlessly requiring a round-trip
+ // Note that there is currently no way for a node to request any single transactions we didnt send here -
+ // they must either disconnect and retry or request the full block.
+ // Thus, the protocol spec specified allows for us to provide duplicate txn here,
+ // however we MUST always provide at least what the remote peer needs
+ typedef std::pair<unsigned int, uint256> PairType;
+ BOOST_FOREACH(PairType& pair, merkleBlock.vMatchedTxn)
+ if (!pfrom->setInventoryKnown.count(CInv(MSG_TX, pair.second)))
+ pfrom->PushMessage("tx", block.vtx[pair.first]);
+ pfrom->PushMessage("merkleblock", merkleBlock);
+ }
+ // else
+ // no response
+ }
// Trigger them to send a getblocks request for the next batch of inventory
if (inv.hash == pfrom->hashContinue)
@@ -3184,7 +3364,7 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
if (tx.AcceptToMemoryPool(true, &fMissingInputs))
{
SyncWithWallets(inv.hash, tx, NULL, true);
- RelayMessage(inv, vMsg);
+ RelayTransaction(tx, inv.hash, vMsg);
mapAlreadyAskedFor.erase(inv);
vWorkQueue.push_back(inv.hash);
vEraseQueue.push_back(inv.hash);
@@ -3207,7 +3387,7 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
{
printf(" accepted orphan tx %s\n", inv.hash.ToString().substr(0,10).c_str());
SyncWithWallets(inv.hash, tx, NULL, true);
- RelayMessage(inv, vMsg);
+ RelayTransaction(tx, inv.hash, vMsg);
mapAlreadyAskedFor.erase(inv);
vWorkQueue.push_back(inv.hash);
vEraseQueue.push_back(inv.hash);
@@ -3266,13 +3446,16 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
else if (strCommand == "mempool")
{
std::vector<uint256> vtxid;
+ LOCK2(mempool.cs, pfrom->cs_filter);
mempool.queryHashes(vtxid);
vector<CInv> vInv;
- for (unsigned int i = 0; i < vtxid.size(); i++) {
- CInv inv(MSG_TX, vtxid[i]);
- vInv.push_back(inv);
- if (i == (MAX_INV_SZ - 1))
- break;
+ BOOST_FOREACH(uint256& hash, vtxid) {
+ CInv inv(MSG_TX, hash);
+ if ((pfrom->pfilter && pfrom->pfilter->IsRelevantAndUpdate(mempool.lookup(hash), hash)) ||
+ (!pfrom->pfilter))
+ vInv.push_back(inv);
+ if (vInv.size() == MAX_INV_SZ)
+ break;
}
if (vInv.size() > 0)
pfrom->PushMessage("inv", vInv);
@@ -3332,6 +3515,53 @@ bool static ProcessMessage(CNode* pfrom, string strCommand, CDataStream& vRecv)
}
+ else if (strCommand == "filterload")
+ {
+ CBloomFilter filter;
+ vRecv >> filter;
+
+ if (!filter.IsWithinSizeConstraints())
+ // There is no excuse for sending a too-large filter
+ pfrom->Misbehaving(100);
+ else
+ {
+ LOCK(pfrom->cs_filter);
+ delete pfrom->pfilter;
+ pfrom->pfilter = new CBloomFilter(filter);
+ }
+ pfrom->fRelayTxes = true;
+ }
+
+
+ else if (strCommand == "filteradd")
+ {
+ vector<unsigned char> vData;
+ vRecv >> vData;
+
+ // Nodes must NEVER send a data item > 520 bytes (the max size for a script data object,
+ // and thus, the maximum size any matched object can have) in a filteradd message
+ if (vData.size() > 520)
+ {
+ pfrom->Misbehaving(100);
+ } else {
+ LOCK(pfrom->cs_filter);
+ if (pfrom->pfilter)
+ pfrom->pfilter->insert(vData);
+ else
+ pfrom->Misbehaving(100);
+ }
+ }
+
+
+ else if (strCommand == "filterclear")
+ {
+ LOCK(pfrom->cs_filter);
+ delete pfrom->pfilter;
+ pfrom->pfilter = NULL;
+ pfrom->fRelayTxes = true;
+ }
+
+
else
{
// Ignore unknown commands for extensibility
diff --git a/src/main.h b/src/main.h
index 3290b16318..4d21680b9c 100644
--- a/src/main.h
+++ b/src/main.h
@@ -1110,11 +1110,101 @@ public:
+/** Data structure that represents a partial merkle tree.
+ *
+ * It respresents a subset of the txid's of a known block, in a way that
+ * allows recovery of the list of txid's and the merkle root, in an
+ * authenticated way.
+ *
+ * The encoding works as follows: we traverse the tree in depth-first order,
+ * storing a bit for each traversed node, signifying whether the node is the
+ * parent of at least one matched leaf txid (or a matched txid itself). In
+ * case we are at the leaf level, or this bit is 0, its merkle node hash is
+ * stored, and its children are not explorer further. Otherwise, no hash is
+ * stored, but we recurse into both (or the only) child branch. During
+ * decoding, the same depth-first traversal is performed, consuming bits and
+ * hashes as they written during encoding.
+ *
+ * The serialization is fixed and provides a hard guarantee about the
+ * encoded size:
+ *
+ * SIZE <= 10 + ceil(32.25*N)
+ *
+ * Where N represents the number of leaf nodes of the partial tree. N itself
+ * is bounded by:
+ *
+ * N <= total_transactions
+ * N <= 1 + matched_transactions*tree_height
+ *
+ * The serialization format:
+ * - uint32 total_transactions (4 bytes)
+ * - varint number of hashes (1-3 bytes)
+ * - uint256[] hashes in depth-first order (<= 32*N bytes)
+ * - varint number of bytes of flag bits (1-3 bytes)
+ * - byte[] flag bits, packed per 8 in a byte, least significant bit first (<= 2*N-1 bits)
+ * The size constraints follow from this.
+ */
+class CPartialMerkleTree
+{
+protected:
+ // the total number of transactions in the block
+ unsigned int nTransactions;
+
+ // node-is-parent-of-matched-txid bits
+ std::vector<bool> vBits;
+
+ // txids and internal hashes
+ std::vector<uint256> vHash;
+
+ // flag set when encountering invalid data
+ bool fBad;
+ // helper function to efficiently calculate the number of nodes at given height in the merkle tree
+ unsigned int CalcTreeWidth(int height) {
+ return (nTransactions+(1 << height)-1) >> height;
+ }
+
+ // calculate the hash of a node in the merkle tree (at leaf level: the txid's themself)
+ uint256 CalcHash(int height, unsigned int pos, const std::vector<uint256> &vTxid);
+ // recursive function that traverses tree nodes, storing the data as bits and hashes
+ void TraverseAndBuild(int height, unsigned int pos, const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch);
+ // recursive function that traverses tree nodes, consuming the bits and hashes produced by TraverseAndBuild.
+ // it returns the hash of the respective node.
+ uint256 TraverseAndExtract(int height, unsigned int pos, unsigned int &nBitsUsed, unsigned int &nHashUsed, std::vector<uint256> &vMatch);
+public:
+ // serialization implementation
+ IMPLEMENT_SERIALIZE(
+ READWRITE(nTransactions);
+ READWRITE(vHash);
+ std::vector<unsigned char> vBytes;
+ if (fRead) {
+ READWRITE(vBytes);
+ CPartialMerkleTree &us = *(const_cast<CPartialMerkleTree*>(this));
+ us.vBits.resize(vBytes.size() * 8);
+ for (unsigned int p = 0; p < us.vBits.size(); p++)
+ us.vBits[p] = (vBytes[p / 8] & (1 << (p % 8))) != 0;
+ us.fBad = false;
+ } else {
+ vBytes.resize((vBits.size()+7)/8);
+ for (unsigned int p = 0; p < vBits.size(); p++)
+ vBytes[p / 8] |= vBits[p] << (p % 8);
+ READWRITE(vBytes);
+ }
+ )
+
+ // Construct a partial merkle tree from a list of transaction id's, and a mask that selects a subset of them
+ CPartialMerkleTree(const std::vector<uint256> &vTxid, const std::vector<bool> &vMatch);
+
+ CPartialMerkleTree();
+
+ // extract the matching txid's represented by this partial merkle tree.
+ // returns the merkle root, or 0 in case of failure
+ uint256 ExtractMatches(std::vector<uint256> &vMatch);
+};
/** Nodes collect new transactions into a block, hash them into a hash tree,
@@ -1218,6 +1308,18 @@ public:
nDoS = 0;
}
+ CBlockHeader GetBlockHeader() const
+ {
+ CBlockHeader block;
+ block.nVersion = nVersion;
+ block.hashPrevBlock = hashPrevBlock;
+ block.hashMerkleRoot = hashMerkleRoot;
+ block.nTime = nTime;
+ block.nBits = nBits;
+ block.nNonce = nNonce;
+ return block;
+ }
+
uint256 BuildMerkleTree() const
{
vMerkleTree.clear();
@@ -2027,4 +2129,36 @@ struct CBlockTemplate
std::vector<int64_t> vTxSigOps;
};
+
+
+
+
+
+/** Used to relay blocks as header + vector<merkle branch>
+ * to filtered nodes.
+ */
+class CMerkleBlock
+{
+public:
+ // Public only for unit testing
+ CBlockHeader header;
+ CPartialMerkleTree txn;
+
+public:
+ // Public only for unit testing and relay testing
+ // (not relayed)
+ std::vector<std::pair<unsigned int, uint256> > vMatchedTxn;
+
+ // Create from a CBlock, filtering transactions according to filter
+ // Note that this will call IsRelevantAndUpdate on the filter for each transaction,
+ // thus the filter will likely be modified.
+ CMerkleBlock(const CBlock& block, CBloomFilter& filter);
+
+ IMPLEMENT_SERIALIZE
+ (
+ READWRITE(header);
+ READWRITE(txn);
+ )
+};
+
#endif
diff --git a/src/makefile.linux-mingw b/src/makefile.linux-mingw
index 47dc7c5c40..ff565f2a2d 100644
--- a/src/makefile.linux-mingw
+++ b/src/makefile.linux-mingw
@@ -83,6 +83,8 @@ OBJS= \
obj/wallet.o \
obj/walletdb.o \
obj/noui.o \
+ obj/hash.o \
+ obj/bloom.o \
obj/leveldb.o \
obj/txdb.o
diff --git a/src/makefile.mingw b/src/makefile.mingw
index 22d65d6703..9a6680bf40 100644
--- a/src/makefile.mingw
+++ b/src/makefile.mingw
@@ -78,6 +78,8 @@ OBJS= \
obj/util.o \
obj/wallet.o \
obj/walletdb.o \
+ obj/hash.o \
+ obj/bloom.o \
obj/noui.o \
obj/leveldb.o \
obj/txdb.o
diff --git a/src/makefile.osx b/src/makefile.osx
index 25164c8679..8b7c559fa1 100644
--- a/src/makefile.osx
+++ b/src/makefile.osx
@@ -96,6 +96,8 @@ OBJS= \
obj/util.o \
obj/wallet.o \
obj/walletdb.o \
+ obj/hash.o \
+ obj/bloom.o \
obj/noui.o \
obj/leveldb.o \
obj/txdb.o
diff --git a/src/makefile.unix b/src/makefile.unix
index 9e17e8ace2..14cf1b8fa5 100644
--- a/src/makefile.unix
+++ b/src/makefile.unix
@@ -127,6 +127,8 @@ OBJS= \
obj/util.o \
obj/wallet.o \
obj/walletdb.o \
+ obj/hash.o \
+ obj/bloom.o \
obj/noui.o \
obj/leveldb.o \
obj/txdb.o
diff --git a/src/net.cpp b/src/net.cpp
index 7867c85b7f..319739429c 100644
--- a/src/net.cpp
+++ b/src/net.cpp
@@ -9,6 +9,7 @@
#include "init.h"
#include "addrman.h"
#include "ui_interface.h"
+#include "script.h"
#ifdef WIN32
#include <string.h>
@@ -1996,3 +1997,48 @@ public:
}
}
instance_of_cnetcleanup;
+
+
+
+
+
+
+
+void RelayTransaction(const CTransaction& tx, const uint256& hash)
+{
+ CDataStream ss(SER_NETWORK, PROTOCOL_VERSION);
+ ss.reserve(10000);
+ ss << tx;
+ RelayTransaction(tx, hash, ss);
+}
+
+void RelayTransaction(const CTransaction& tx, const uint256& hash, const CDataStream& ss)
+{
+ CInv inv(MSG_TX, hash);
+ {
+ LOCK(cs_mapRelay);
+ // Expire old relay messages
+ while (!vRelayExpiration.empty() && vRelayExpiration.front().first < GetTime())
+ {
+ mapRelay.erase(vRelayExpiration.front().second);
+ vRelayExpiration.pop_front();
+ }
+
+ // Save original serialized message so newer versions are preserved
+ mapRelay.insert(std::make_pair(inv, ss));
+ vRelayExpiration.push_back(std::make_pair(GetTime() + 15 * 60, inv));
+ }
+ LOCK(cs_vNodes);
+ BOOST_FOREACH(CNode* pnode, vNodes)
+ {
+ if(!pnode->fRelayTxes)
+ continue;
+ LOCK(pnode->cs_filter);
+ if (pnode->pfilter)
+ {
+ if (pnode->pfilter->IsRelevantAndUpdate(tx, hash))
+ pnode->PushInventory(inv);
+ } else
+ pnode->PushInventory(inv);
+ }
+}
diff --git a/src/net.h b/src/net.h
index 44c80dac28..087b2dd6a2 100644
--- a/src/net.h
+++ b/src/net.h
@@ -19,6 +19,7 @@
#include "protocol.h"
#include "addrman.h"
#include "hash.h"
+#include "bloom.h"
class CNode;
class CBlockIndex;
@@ -151,7 +152,14 @@ public:
bool fNetworkNode;
bool fSuccessfullyConnected;
bool fDisconnect;
+ // We use fRelayTxes for two purposes -
+ // a) it allows us to not relay tx invs before receiving the peer's version message
+ // b) the peer may tell us in their version message that we should not relay tx invs
+ // until they have initialized their bloom filter.
+ bool fRelayTxes;
CSemaphoreGrant grantOutbound;
+ CCriticalSection cs_filter;
+ CBloomFilter* pfilter;
protected:
int nRefCount;
@@ -208,7 +216,9 @@ public:
nStartingHeight = -1;
fGetAddr = false;
nMisbehavior = 0;
+ fRelayTxes = false;
setInventoryKnown.max_size(SendBufferSize() / 1000);
+ pfilter = NULL;
// Be shy and don't send version until we hear
if (!fInbound)
@@ -222,6 +232,8 @@ public:
closesocket(hSocket);
hSocket = INVALID_SOCKET;
}
+ if (pfilter)
+ delete pfilter;
}
private:
@@ -556,51 +568,8 @@ public:
-
-
-
-
-
-
-
-inline void RelayInventory(const CInv& inv)
-{
- // Put on lists to offer to the other nodes
- {
- LOCK(cs_vNodes);
- BOOST_FOREACH(CNode* pnode, vNodes)
- pnode->PushInventory(inv);
- }
-}
-
-template<typename T>
-void RelayMessage(const CInv& inv, const T& a)
-{
- CDataStream ss(SER_NETWORK, PROTOCOL_VERSION);
- ss.reserve(10000);
- ss << a;
- RelayMessage(inv, ss);
-}
-
-template<>
-inline void RelayMessage<>(const CInv& inv, const CDataStream& ss)
-{
- {
- LOCK(cs_mapRelay);
- // Expire old relay messages
- while (!vRelayExpiration.empty() && vRelayExpiration.front().first < GetTime())
- {
- mapRelay.erase(vRelayExpiration.front().second);
- vRelayExpiration.pop_front();
- }
-
- // Save original serialized message so newer versions are preserved
- mapRelay.insert(std::make_pair(inv, ss));
- vRelayExpiration.push_back(std::make_pair(GetTime() + 15 * 60, inv));
- }
-
- RelayInventory(inv);
-}
-
+class CTransaction;
+void RelayTransaction(const CTransaction& tx, const uint256& hash);
+void RelayTransaction(const CTransaction& tx, const uint256& hash, const CDataStream& ss);
#endif
diff --git a/src/protocol.cpp b/src/protocol.cpp
index 23969e5b97..7b42f5270b 100644
--- a/src/protocol.cpp
+++ b/src/protocol.cpp
@@ -17,6 +17,7 @@ static const char* ppszTypeName[] =
"ERROR",
"tx",
"block",
+ "filtered block"
};
CMessageHeader::CMessageHeader()
diff --git a/src/protocol.h b/src/protocol.h
index 96fd197ecd..f5c162054e 100644
--- a/src/protocol.h
+++ b/src/protocol.h
@@ -138,6 +138,9 @@ enum
{
MSG_TX = 1,
MSG_BLOCK,
+ // Nodes may always request a MSG_FILTERED_BLOCK in a getdata, however,
+ // MSG_FILTERED_BLOCK should not appear in any invs except as a part of getdata.
+ MSG_FILTERED_BLOCK,
};
#endif // __INCLUDED_PROTOCOL_H__
diff --git a/src/rpcrawtransaction.cpp b/src/rpcrawtransaction.cpp
index 9531b12678..09fbaa30cd 100644
--- a/src/rpcrawtransaction.cpp
+++ b/src/rpcrawtransaction.cpp
@@ -558,7 +558,7 @@ Value sendrawtransaction(const Array& params, bool fHelp)
} else {
SyncWithWallets(hashTx, tx, NULL, true);
}
- RelayMessage(CInv(MSG_TX, hashTx), tx);
+ RelayTransaction(tx, hashTx);
return hashTx.GetHex();
}
diff --git a/src/test/bloom_tests.cpp b/src/test/bloom_tests.cpp
new file mode 100644
index 0000000000..4a2851cf46
--- /dev/null
+++ b/src/test/bloom_tests.cpp
@@ -0,0 +1,447 @@
+#include <boost/test/unit_test.hpp>
+#include <vector>
+
+#include "bloom.h"
+#include "util.h"
+#include "key.h"
+#include "base58.h"
+#include "main.h"
+
+using namespace std;
+using namespace boost::tuples;
+
+BOOST_AUTO_TEST_SUITE(bloom_tests)
+
+BOOST_AUTO_TEST_CASE(bloom_create_insert_serialize)
+{
+ CBloomFilter filter(3, 0.01, 0, BLOOM_UPDATE_ALL);
+
+ filter.insert(ParseHex("99108ad8ed9bb6274d3980bab5a85c048f0950c8"));
+ BOOST_CHECK_MESSAGE( filter.contains(ParseHex("99108ad8ed9bb6274d3980bab5a85c048f0950c8")), "BloomFilter doesn't contain just-inserted object!");
+ // One bit different in first byte
+ BOOST_CHECK_MESSAGE(!filter.contains(ParseHex("19108ad8ed9bb6274d3980bab5a85c048f0950c8")), "BloomFilter contains something it shouldn't!");
+
+ filter.insert(ParseHex("b5a2c786d9ef4658287ced5914b37a1b4aa32eee"));
+ BOOST_CHECK_MESSAGE(filter.contains(ParseHex("b5a2c786d9ef4658287ced5914b37a1b4aa32eee")), "BloomFilter doesn't contain just-inserted object (2)!");
+
+ filter.insert(ParseHex("b9300670b4c5366e95b2699e8b18bc75e5f729c5"));
+ BOOST_CHECK_MESSAGE(filter.contains(ParseHex("b9300670b4c5366e95b2699e8b18bc75e5f729c5")), "BloomFilter doesn't contain just-inserted object (3)!");
+
+ CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
+ filter.Serialize(stream, SER_NETWORK, PROTOCOL_VERSION);
+
+ vector<unsigned char> vch = ParseHex("03614e9b050000000000000001");
+ vector<char> expected(vch.size());
+
+ for (unsigned int i = 0; i < vch.size(); i++)
+ expected[i] = (char)vch[i];
+
+ BOOST_CHECK_EQUAL_COLLECTIONS(stream.begin(), stream.end(), expected.begin(), expected.end());
+}
+
+BOOST_AUTO_TEST_CASE(bloom_create_insert_serialize_with_tweak)
+{
+ // Same test as bloom_create_insert_serialize, but we add a nTweak of 100
+ CBloomFilter filter(3, 0.01, 2147483649, BLOOM_UPDATE_ALL);
+
+ filter.insert(ParseHex("99108ad8ed9bb6274d3980bab5a85c048f0950c8"));
+ BOOST_CHECK_MESSAGE( filter.contains(ParseHex("99108ad8ed9bb6274d3980bab5a85c048f0950c8")), "BloomFilter doesn't contain just-inserted object!");
+ // One bit different in first byte
+ BOOST_CHECK_MESSAGE(!filter.contains(ParseHex("19108ad8ed9bb6274d3980bab5a85c048f0950c8")), "BloomFilter contains something it shouldn't!");
+
+ filter.insert(ParseHex("b5a2c786d9ef4658287ced5914b37a1b4aa32eee"));
+ BOOST_CHECK_MESSAGE(filter.contains(ParseHex("b5a2c786d9ef4658287ced5914b37a1b4aa32eee")), "BloomFilter doesn't contain just-inserted object (2)!");
+
+ filter.insert(ParseHex("b9300670b4c5366e95b2699e8b18bc75e5f729c5"));
+ BOOST_CHECK_MESSAGE(filter.contains(ParseHex("b9300670b4c5366e95b2699e8b18bc75e5f729c5")), "BloomFilter doesn't contain just-inserted object (3)!");
+
+ CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
+ filter.Serialize(stream, SER_NETWORK, PROTOCOL_VERSION);
+
+ vector<unsigned char> vch = ParseHex("03ce4299050000000100008001");
+ vector<char> expected(vch.size());
+
+ for (unsigned int i = 0; i < vch.size(); i++)
+ expected[i] = (char)vch[i];
+
+ BOOST_CHECK_EQUAL_COLLECTIONS(stream.begin(), stream.end(), expected.begin(), expected.end());
+}
+
+BOOST_AUTO_TEST_CASE(bloom_create_insert_key)
+{
+ string strSecret = string("5Kg1gnAjaLfKiwhhPpGS3QfRg2m6awQvaj98JCZBZQ5SuS2F15C");
+ CBitcoinSecret vchSecret;
+ BOOST_CHECK(vchSecret.SetString(strSecret));
+
+ CKey key;
+ bool fCompressed;
+ CSecret secret = vchSecret.GetSecret(fCompressed);
+ key.SetSecret(secret, fCompressed);
+
+ CBloomFilter filter(2, 0.001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(key.GetPubKey().Raw());
+ uint160 hash = key.GetPubKey().GetID();
+ filter.insert(vector<unsigned char>(hash.begin(), hash.end()));
+
+ CDataStream stream(SER_NETWORK, PROTOCOL_VERSION);
+ filter.Serialize(stream, SER_NETWORK, PROTOCOL_VERSION);
+
+ vector<unsigned char> vch = ParseHex("038fc16b080000000000000001");
+ vector<char> expected(vch.size());
+
+ for (unsigned int i = 0; i < vch.size(); i++)
+ expected[i] = (char)vch[i];
+
+ BOOST_CHECK_EQUAL_COLLECTIONS(stream.begin(), stream.end(), expected.begin(), expected.end());
+}
+
+BOOST_AUTO_TEST_CASE(bloom_match)
+{
+ // Random real transaction (b4749f017444b051c44dfd2720e88f314ff94f3dd6d56d40ef65854fcd7fff6b)
+ CTransaction tx;
+ CDataStream stream(ParseHex("01000000010b26e9b7735eb6aabdf358bab62f9816a21ba9ebdb719d5299e88607d722c190000000008b4830450220070aca44506c5cef3a16ed519d7c3c39f8aab192c4e1c90d065f37b8a4af6141022100a8e160b856c2d43d27d8fba71e5aef6405b8643ac4cb7cb3c462aced7f14711a0141046d11fee51b0e60666d5049a9101a72741df480b96ee26488a4d3466b95c9a40ac5eeef87e10a5cd336c19a84565f80fa6c547957b7700ff4dfbdefe76036c339ffffffff021bff3d11000000001976a91404943fdd508053c75000106d3bc6e2754dbcff1988ac2f15de00000000001976a914a266436d2965547608b9e15d9032a7b9d64fa43188ac00000000"), SER_DISK, CLIENT_VERSION);
+ stream >> tx;
+
+ // and one which spends it (e2769b09e784f32f62ef849763d4f45b98e07ba658647343b915ff832b110436)
+ unsigned char ch[] = {0x01, 0x00, 0x00, 0x00, 0x01, 0x6b, 0xff, 0x7f, 0xcd, 0x4f, 0x85, 0x65, 0xef, 0x40, 0x6d, 0xd5, 0xd6, 0x3d, 0x4f, 0xf9, 0x4f, 0x31, 0x8f, 0xe8, 0x20, 0x27, 0xfd, 0x4d, 0xc4, 0x51, 0xb0, 0x44, 0x74, 0x01, 0x9f, 0x74, 0xb4, 0x00, 0x00, 0x00, 0x00, 0x8c, 0x49, 0x30, 0x46, 0x02, 0x21, 0x00, 0xda, 0x0d, 0xc6, 0xae, 0xce, 0xfe, 0x1e, 0x06, 0xef, 0xdf, 0x05, 0x77, 0x37, 0x57, 0xde, 0xb1, 0x68, 0x82, 0x09, 0x30, 0xe3, 0xb0, 0xd0, 0x3f, 0x46, 0xf5, 0xfc, 0xf1, 0x50, 0xbf, 0x99, 0x0c, 0x02, 0x21, 0x00, 0xd2, 0x5b, 0x5c, 0x87, 0x04, 0x00, 0x76, 0xe4, 0xf2, 0x53, 0xf8, 0x26, 0x2e, 0x76, 0x3e, 0x2d, 0xd5, 0x1e, 0x7f, 0xf0, 0xbe, 0x15, 0x77, 0x27, 0xc4, 0xbc, 0x42, 0x80, 0x7f, 0x17, 0xbd, 0x39, 0x01, 0x41, 0x04, 0xe6, 0xc2, 0x6e, 0xf6, 0x7d, 0xc6, 0x10, 0xd2, 0xcd, 0x19, 0x24, 0x84, 0x78, 0x9a, 0x6c, 0xf9, 0xae, 0xa9, 0x93, 0x0b, 0x94, 0x4b, 0x7e, 0x2d, 0xb5, 0x34, 0x2b, 0x9d, 0x9e, 0x5b, 0x9f, 0xf7, 0x9a, 0xff, 0x9a, 0x2e, 0xe1, 0x97, 0x8d, 0xd7, 0xfd, 0x01, 0xdf, 0xc5, 0x22, 0xee, 0x02, 0x28, 0x3d, 0x3b, 0x06, 0xa9, 0xd0, 0x3a, 0xcf, 0x80, 0x96, 0x96, 0x8d, 0x7d, 0xbb, 0x0f, 0x91, 0x78, 0xff, 0xff, 0xff, 0xff, 0x02, 0x8b, 0xa7, 0x94, 0x0e, 0x00, 0x00, 0x00, 0x00, 0x19, 0x76, 0xa9, 0x14, 0xba, 0xde, 0xec, 0xfd, 0xef, 0x05, 0x07, 0x24, 0x7f, 0xc8, 0xf7, 0x42, 0x41, 0xd7, 0x3b, 0xc0, 0x39, 0x97, 0x2d, 0x7b, 0x88, 0xac, 0x40, 0x94, 0xa8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x19, 0x76, 0xa9, 0x14, 0xc1, 0x09, 0x32, 0x48, 0x3f, 0xec, 0x93, 0xed, 0x51, 0xf5, 0xfe, 0x95, 0xe7, 0x25, 0x59, 0xf2, 0xcc, 0x70, 0x43, 0xf9, 0x88, 0xac, 0x00, 0x00, 0x00, 0x00, 0x00};
+ vector<unsigned char> vch(ch, ch + sizeof(ch) -1);
+ CDataStream spendStream(vch, SER_DISK, CLIENT_VERSION);
+ CTransaction spendingTx;
+ spendStream >> spendingTx;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(uint256("0xb4749f017444b051c44dfd2720e88f314ff94f3dd6d56d40ef65854fcd7fff6b"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match tx hash");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ // byte-reversed tx hash
+ filter.insert(ParseHex("6bff7fcd4f8565ef406dd5d63d4ff94f318fe82027fd4dc451b04474019f74b4"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match manually serialized tx hash");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(ParseHex("30450220070aca44506c5cef3a16ed519d7c3c39f8aab192c4e1c90d065f37b8a4af6141022100a8e160b856c2d43d27d8fba71e5aef6405b8643ac4cb7cb3c462aced7f14711a01"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match input signature");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(ParseHex("046d11fee51b0e60666d5049a9101a72741df480b96ee26488a4d3466b95c9a40ac5eeef87e10a5cd336c19a84565f80fa6c547957b7700ff4dfbdefe76036c339"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match input pub key");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(ParseHex("04943fdd508053c75000106d3bc6e2754dbcff19"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match output address");
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(spendingTx, spendingTx.GetHash()), "Simple Bloom filter didn't add output");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(ParseHex("a266436d2965547608b9e15d9032a7b9d64fa431"));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match output address");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(COutPoint(uint256("0x90c122d70786e899529d71dbeba91ba216982fb6ba58f3bdaab65e73b7e9260b"), 0));
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match COutPoint");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ COutPoint prevOutPoint(uint256("0x90c122d70786e899529d71dbeba91ba216982fb6ba58f3bdaab65e73b7e9260b"), 0);
+ {
+ vector<unsigned char> data(32 + sizeof(unsigned int));
+ memcpy(&data[0], prevOutPoint.hash.begin(), 32);
+ memcpy(&data[32], &prevOutPoint.n, sizeof(unsigned int));
+ filter.insert(data);
+ }
+ BOOST_CHECK_MESSAGE(filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter didn't match manually serialized COutPoint");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(uint256("00000009e784f32f62ef849763d4f45b98e07ba658647343b915ff832b110436"));
+ BOOST_CHECK_MESSAGE(!filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter matched random tx hash");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(ParseHex("0000006d2965547608b9e15d9032a7b9d64fa431"));
+ BOOST_CHECK_MESSAGE(!filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter matched random address");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(COutPoint(uint256("0x90c122d70786e899529d71dbeba91ba216982fb6ba58f3bdaab65e73b7e9260b"), 1));
+ BOOST_CHECK_MESSAGE(!filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter matched COutPoint for an output we didn't care about");
+
+ filter = CBloomFilter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ filter.insert(COutPoint(uint256("0x000000d70786e899529d71dbeba91ba216982fb6ba58f3bdaab65e73b7e9260b"), 0));
+ BOOST_CHECK_MESSAGE(!filter.IsRelevantAndUpdate(tx, tx.GetHash()), "Simple Bloom filter matched COutPoint for an output we didn't care about");
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_1)
+{
+ // Random real block (0000000000013b8ab2cd513b0261a14096412195a72a0c4827d229dcc7e0f7af)
+ // With 9 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ // Match the last transaction
+ filter.insert(uint256("0x74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 1);
+ pair<unsigned int, uint256> pair = merkleBlock.vMatchedTxn[0];
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0x74d681e0e03bafa802c8aa084379aa98d9fcd632ddc2ed9782b586ec87451f20"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 8);
+
+ vector<uint256> vMatched;
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+
+ // Also match the 8th transaction
+ filter.insert(uint256("0xdd1fd2a6fc16404faf339881a90adbde7f4f728691ac62e8f168809cdfae1053"));
+ merkleBlock = CMerkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 2);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1] == pair);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0xdd1fd2a6fc16404faf339881a90adbde7f4f728691ac62e8f168809cdfae1053"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 7);
+
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_2)
+{
+ // Random real block (000000005a4ded781e667e06ceefafb71410b511fe0d5adc3e5a27ecbec34ae6)
+ // With 4 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ // Match the first transaction
+ filter.insert(uint256("0xe980fe9f792d014e73b95203dc1335c5f9ce19ac537a419e6df5b47aecb93b70"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 1);
+ pair<unsigned int, uint256> pair = merkleBlock.vMatchedTxn[0];
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0xe980fe9f792d014e73b95203dc1335c5f9ce19ac537a419e6df5b47aecb93b70"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 0);
+
+ vector<uint256> vMatched;
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+
+ // Match an output from the second transaction (the pubkey for address 1DZTzaBHUDM7T3QvUKBz4qXMRpkg8jsfB5)
+ // This should match the third transaction because it spends the output matched
+ // It also matches the fourth transaction, which spends to the pubkey again
+ filter.insert(ParseHex("044a656f065871a353f216ca26cef8dde2f03e8c16202d2e8ad769f02032cb86a5eb5e56842e92e19141d60a01928f8dd2c875a390f67c1f6c94cfc617c0ea45af"));
+
+ merkleBlock = CMerkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 4);
+
+ BOOST_CHECK(pair == merkleBlock.vMatchedTxn[0]);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1].second == uint256("0x28204cad1d7fc1d199e8ef4fa22f182de6258a3eaafe1bbe56ebdcacd3069a5f"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1].first == 1);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[2].second == uint256("0x6b0f8a73a56c04b519f1883e8aafda643ba61a30bd1439969df21bea5f4e27e2"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[2].first == 2);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[3].second == uint256("0x3c1d7e82342158e4109df2e0b6348b6e84e403d8b4046d7007663ace63cddb23"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[3].first == 3);
+
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_2_with_update_none)
+{
+ // Random real block (000000005a4ded781e667e06ceefafb71410b511fe0d5adc3e5a27ecbec34ae6)
+ // With 4 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_NONE);
+ // Match the first transaction
+ filter.insert(uint256("0xe980fe9f792d014e73b95203dc1335c5f9ce19ac537a419e6df5b47aecb93b70"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 1);
+ pair<unsigned int, uint256> pair = merkleBlock.vMatchedTxn[0];
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0xe980fe9f792d014e73b95203dc1335c5f9ce19ac537a419e6df5b47aecb93b70"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 0);
+
+ vector<uint256> vMatched;
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+
+ // Match an output from the second transaction (the pubkey for address 1DZTzaBHUDM7T3QvUKBz4qXMRpkg8jsfB5)
+ // This should not match the third transaction though it spends the output matched
+ // It will match the fourth transaction, which has another pay-to-pubkey output to the same address
+ filter.insert(ParseHex("044a656f065871a353f216ca26cef8dde2f03e8c16202d2e8ad769f02032cb86a5eb5e56842e92e19141d60a01928f8dd2c875a390f67c1f6c94cfc617c0ea45af"));
+
+ merkleBlock = CMerkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 3);
+
+ BOOST_CHECK(pair == merkleBlock.vMatchedTxn[0]);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1].second == uint256("0x28204cad1d7fc1d199e8ef4fa22f182de6258a3eaafe1bbe56ebdcacd3069a5f"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1].first == 1);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[2].second == uint256("0x3c1d7e82342158e4109df2e0b6348b6e84e403d8b4046d7007663ace63cddb23"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[2].first == 3);
+
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_3_and_serialize)
+{
+ // Random real block (000000000000dab0130bbcc991d3d7ae6b81aa6f50a798888dfe62337458dc45)
+ // With one tx
+ CBlock block;
+ CDataStream stream(ParseHex("0100000079cda856b143d9db2c1caff01d1aecc8630d30625d10e8b4b8b0000000000000b50cc069d6a3e33e3ff84a5c41d9d3febe7c770fdcc96b2c3ff60abe184f196367291b4d4c86041b8fa45d630101000000010000000000000000000000000000000000000000000000000000000000000000ffffffff08044c86041b020a02ffffffff0100f2052a01000000434104ecd3229b0571c3be876feaac0442a9f13c5a572742927af1dc623353ecf8c202225f64868137a18cdd85cbbb4c74fbccfd4f49639cf1bdc94a5672bb15ad5d4cac00000000"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ // Match the only transaction
+ filter.insert(uint256("0x63194f18be0af63f2c6bc9dc0f777cbefed3d9415c4af83f3ee3a3d669c00cb5"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 1);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0x63194f18be0af63f2c6bc9dc0f777cbefed3d9415c4af83f3ee3a3d669c00cb5"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 0);
+
+ vector<uint256> vMatched;
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+
+ CDataStream merkleStream(SER_NETWORK, PROTOCOL_VERSION);
+ merkleStream << merkleBlock;
+
+ vector<unsigned char> vch = ParseHex("0100000079cda856b143d9db2c1caff01d1aecc8630d30625d10e8b4b8b0000000000000b50cc069d6a3e33e3ff84a5c41d9d3febe7c770fdcc96b2c3ff60abe184f196367291b4d4c86041b8fa45d630100000001b50cc069d6a3e33e3ff84a5c41d9d3febe7c770fdcc96b2c3ff60abe184f19630101");
+ vector<char> expected(vch.size());
+
+ for (unsigned int i = 0; i < vch.size(); i++)
+ expected[i] = (char)vch[i];
+
+ BOOST_CHECK_EQUAL_COLLECTIONS(expected.begin(), expected.end(), merkleStream.begin(), merkleStream.end());
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_4)
+{
+ // Random real block (000000000000b731f2eef9e8c63173adfb07e41bd53eb0ef0a6b720d6cb6dea4)
+ // With 7 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_ALL);
+ // Match the last transaction
+ filter.insert(uint256("0x0a2a92f0bda4727d0a13eaddf4dd9ac6b5c61a1429e6b2b818f19b15df0ac154"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 1);
+ pair<unsigned int, uint256> pair = merkleBlock.vMatchedTxn[0];
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0x0a2a92f0bda4727d0a13eaddf4dd9ac6b5c61a1429e6b2b818f19b15df0ac154"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 6);
+
+ vector<uint256> vMatched;
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+
+ // Also match the 4th transaction
+ filter.insert(uint256("0x02981fa052f0481dbc5868f4fc2166035a10f27a03cfd2de67326471df5bc041"));
+ merkleBlock = CMerkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn.size() == 2);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].second == uint256("0x02981fa052f0481dbc5868f4fc2166035a10f27a03cfd2de67326471df5bc041"));
+ BOOST_CHECK(merkleBlock.vMatchedTxn[0].first == 3);
+
+ BOOST_CHECK(merkleBlock.vMatchedTxn[1] == pair);
+
+ BOOST_CHECK(merkleBlock.txn.ExtractMatches(vMatched) == block.hashMerkleRoot);
+ BOOST_CHECK(vMatched.size() == merkleBlock.vMatchedTxn.size());
+ for (unsigned int i = 0; i < vMatched.size(); i++)
+ BOOST_CHECK(vMatched[i] == merkleBlock.vMatchedTxn[i].second);
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_4_test_p2pubkey_only)
+{
+ // Random real block (000000000000b731f2eef9e8c63173adfb07e41bd53eb0ef0a6b720d6cb6dea4)
+ // With 7 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_P2PUBKEY_ONLY);
+ // Match the generation pubkey
+ filter.insert(ParseHex("04eaafc2314def4ca98ac970241bcab022b9c1e1f4ea423a20f134c876f2c01ec0f0dd5b2e86e7168cefe0d81113c3807420ce13ad1357231a2252247d97a46a91"));
+ // ...and the output address of the 4th transaction
+ filter.insert(ParseHex("b6efd80d99179f4f4ff6f4dd0a007d018c385d21"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ // We should match the generation outpoint
+ BOOST_CHECK(filter.contains(COutPoint(uint256("0x147caa76786596590baa4e98f5d9f48b86c7765e489f7a6ff3360fe5c674360b"), 0)));
+ // ... but not the 4th transaction's output (its not pay-2-pubkey)
+ BOOST_CHECK(!filter.contains(COutPoint(uint256("0x02981fa052f0481dbc5868f4fc2166035a10f27a03cfd2de67326471df5bc041"), 0)));
+}
+
+BOOST_AUTO_TEST_CASE(merkle_block_4_test_update_none)
+{
+ // Random real block (000000000000b731f2eef9e8c63173adfb07e41bd53eb0ef0a6b720d6cb6dea4)
+ // With 7 txes
+ CBlock block;
+ CDataStream stream(ParseHex("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"), SER_NETWORK, PROTOCOL_VERSION);
+ stream >> block;
+
+ CBloomFilter filter(10, 0.000001, 0, BLOOM_UPDATE_NONE);
+ // Match the generation pubkey
+ filter.insert(ParseHex("04eaafc2314def4ca98ac970241bcab022b9c1e1f4ea423a20f134c876f2c01ec0f0dd5b2e86e7168cefe0d81113c3807420ce13ad1357231a2252247d97a46a91"));
+ // ...and the output address of the 4th transaction
+ filter.insert(ParseHex("b6efd80d99179f4f4ff6f4dd0a007d018c385d21"));
+
+ CMerkleBlock merkleBlock(block, filter);
+ BOOST_CHECK(merkleBlock.header.GetHash() == block.GetHash());
+
+ // We shouldn't match any outpoints (UPDATE_NONE)
+ BOOST_CHECK(!filter.contains(COutPoint(uint256("0x147caa76786596590baa4e98f5d9f48b86c7765e489f7a6ff3360fe5c674360b"), 0)));
+ BOOST_CHECK(!filter.contains(COutPoint(uint256("0x02981fa052f0481dbc5868f4fc2166035a10f27a03cfd2de67326471df5bc041"), 0)));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/test/pmt_tests.cpp b/src/test/pmt_tests.cpp
new file mode 100644
index 0000000000..cf09421617
--- /dev/null
+++ b/src/test/pmt_tests.cpp
@@ -0,0 +1,98 @@
+#include <boost/test/unit_test.hpp>
+
+#include "uint256.h"
+#include "main.h"
+
+using namespace std;
+
+class CPartialMerkleTreeTester : public CPartialMerkleTree
+{
+public:
+ // flip one bit in one of the hashes - this should break the authentication
+ void Damage() {
+ unsigned int n = rand() % vHash.size();
+ int bit = rand() % 256;
+ uint256 &hash = vHash[n];
+ hash ^= ((uint256)1 << bit);
+ }
+};
+
+BOOST_AUTO_TEST_SUITE(pmt_tests)
+
+BOOST_AUTO_TEST_CASE(pmt_test1)
+{
+ static const unsigned int nTxCounts[] = {1, 4, 7, 17, 56, 100, 127, 256, 312, 513, 1000, 4095};
+
+ for (int n = 0; n < 12; n++) {
+ unsigned int nTx = nTxCounts[n];
+
+ // build a block with some dummy transactions
+ CBlock block;
+ for (unsigned int j=0; j<nTx; j++) {
+ CTransaction tx;
+ tx.nLockTime = rand(); // actual transaction data doesn't matter; just make the nLockTime's unique
+ block.vtx.push_back(tx);
+ }
+
+ // calculate actual merkle root and height
+ uint256 merkleRoot1 = block.BuildMerkleTree();
+ std::vector<uint256> vTxid(nTx, 0);
+ for (unsigned int j=0; j<nTx; j++)
+ vTxid[j] = block.vtx[j].GetHash();
+ int nHeight = 1, nTx_ = nTx;
+ while (nTx_ > 1) {
+ nTx_ = (nTx_+1)/2;
+ nHeight++;
+ }
+
+ // check with random subsets with inclusion chances 1, 1/2, 1/4, ..., 1/128
+ for (int att = 1; att < 15; att++) {
+ // build random subset of txid's
+ std::vector<bool> vMatch(nTx, false);
+ std::vector<uint256> vMatchTxid1;
+ for (unsigned int j=0; j<nTx; j++) {
+ bool fInclude = (rand() & ((1 << (att/2)) - 1)) == 0;
+ vMatch[j] = fInclude;
+ if (fInclude)
+ vMatchTxid1.push_back(vTxid[j]);
+ }
+
+ // build the partial merkle tree
+ CPartialMerkleTree pmt1(vTxid, vMatch);
+
+ // serialize
+ CDataStream ss(SER_NETWORK, PROTOCOL_VERSION);
+ ss << pmt1;
+
+ // verify CPartialMerkleTree's size guarantees
+ unsigned int n = std::min<unsigned int>(nTx, 1 + vMatchTxid1.size()*nHeight);
+ BOOST_CHECK(ss.size() <= 10 + (258*n+7)/8);
+
+ // deserialize into a tester copy
+ CPartialMerkleTreeTester pmt2;
+ ss >> pmt2;
+
+ // extract merkle root and matched txids from copy
+ std::vector<uint256> vMatchTxid2;
+ uint256 merkleRoot2 = pmt2.ExtractMatches(vMatchTxid2);
+
+ // check that it has the same merkle root as the original, and a valid one
+ BOOST_CHECK(merkleRoot1 == merkleRoot2);
+ BOOST_CHECK(merkleRoot2 != 0);
+
+ // check that it contains the matched transactions (in the same order!)
+ BOOST_CHECK(vMatchTxid1 == vMatchTxid2);
+
+ // check that random bit flips break the authentication
+ for (int j=0; j<4; j++) {
+ CPartialMerkleTreeTester pmt3(pmt2);
+ pmt3.Damage();
+ std::vector<uint256> vMatchTxid3;
+ uint256 merkleRoot3 = pmt3.ExtractMatches(vMatchTxid3);
+ BOOST_CHECK(merkleRoot3 != merkleRoot1);
+ }
+ }
+ }
+}
+
+BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/uint256.h b/src/uint256.h
index abd0b71e6f..eb0066fa27 100644
--- a/src/uint256.h
+++ b/src/uint256.h
@@ -344,7 +344,17 @@ public:
return (unsigned char*)&pn[WIDTH];
}
- unsigned int size()
+ const unsigned char* begin() const
+ {
+ return (unsigned char*)&pn[0];
+ }
+
+ const unsigned char* end() const
+ {
+ return (unsigned char*)&pn[WIDTH];
+ }
+
+ unsigned int size() const
{
return sizeof(pn);
}
diff --git a/src/version.h b/src/version.h
index b66d056928..f1e7c4cd7b 100644
--- a/src/version.h
+++ b/src/version.h
@@ -25,7 +25,7 @@ extern const std::string CLIENT_DATE;
// network protocol versioning
//
-static const int PROTOCOL_VERSION = 60002;
+static const int PROTOCOL_VERSION = 70001;
// earlier versions not supported as of Feb 2012, and are disconnected
static const int MIN_PROTO_VERSION = 209;
diff --git a/src/wallet.cpp b/src/wallet.cpp
index 37b86c35b5..f49bfb5f8f 100644
--- a/src/wallet.cpp
+++ b/src/wallet.cpp
@@ -826,17 +826,16 @@ void CWalletTx::RelayWalletTransaction()
{
BOOST_FOREACH(const CMerkleTx& tx, vtxPrev)
{
- if (!tx.IsCoinBase()) {
+ if (!tx.IsCoinBase())
if (tx.GetDepthInMainChain() == 0)
- RelayMessage(CInv(MSG_TX, tx.GetHash()), (CTransaction)tx);
- }
+ RelayTransaction((CTransaction)tx, tx.GetHash());
}
if (!IsCoinBase())
{
if (GetDepthInMainChain() == 0) {
uint256 hash = GetHash();
printf("Relaying wtx %s\n", hash.ToString().substr(0,10).c_str());
- RelayMessage(CInv(MSG_TX, hash), (CTransaction)*this);
+ RelayTransaction((CTransaction)*this, hash);
}
}
}