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-rwxr-xr-xqa/rpc-tests/smartfees.py281
-rw-r--r--qa/rpc-tests/util.py8
-rw-r--r--src/Makefile.am2
-rw-r--r--src/Makefile.test.include1
-rw-r--r--src/main.cpp6
-rw-r--r--src/policy/fees.cpp529
-rw-r--r--src/policy/fees.h276
-rw-r--r--src/test/policyestimator_tests.cpp186
-rw-r--r--src/txmempool.cpp382
-rw-r--r--src/txmempool.h20
10 files changed, 1267 insertions, 424 deletions
diff --git a/qa/rpc-tests/smartfees.py b/qa/rpc-tests/smartfees.py
index 4eb8bb4842..69f3c22c17 100755
--- a/qa/rpc-tests/smartfees.py
+++ b/qa/rpc-tests/smartfees.py
@@ -1,5 +1,5 @@
#!/usr/bin/env python2
-# Copyright (c) 2014 The Bitcoin Core developers
+# Copyright (c) 2014-2015 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
@@ -11,82 +11,249 @@ from test_framework import BitcoinTestFramework
from bitcoinrpc.authproxy import AuthServiceProxy, JSONRPCException
from util import *
+# Construct 2 trivial P2SH's and the ScriptSigs that spend them
+# So we can create many many transactions without needing to spend
+# time signing.
+P2SH_1 = "2MySexEGVzZpRgNQ1JdjdP5bRETznm3roQ2" # P2SH of "OP_1 OP_DROP"
+P2SH_2 = "2NBdpwq8Aoo1EEKEXPNrKvr5xQr3M9UfcZA" # P2SH of "OP_2 OP_DROP"
+# Associated ScriptSig's to spend satisfy P2SH_1 and P2SH_2
+# 4 bytes of OP_TRUE and push 2-byte redeem script of "OP_1 OP_DROP" or "OP_2 OP_DROP"
+SCRIPT_SIG = ["0451025175", "0451025275"]
+
+def satoshi_round(amount):
+ return Decimal(amount).quantize(Decimal('0.00000001'), rounding=ROUND_DOWN)
+
+def small_txpuzzle_randfee(from_node, conflist, unconflist, amount, min_fee, fee_increment):
+ '''
+ Create and send a transaction with a random fee.
+ The transaction pays to a trival P2SH script, and assumes that its inputs
+ are of the same form.
+ The function takes a list of confirmed outputs and unconfirmed outputs
+ and attempts to use the confirmed list first for its inputs.
+ It adds the newly created outputs to the unconfirmed list.
+ Returns (raw transaction, fee)
+ '''
+ # It's best to exponentially distribute our random fees
+ # because the buckets are exponentially spaced.
+ # Exponentially distributed from 1-128 * fee_increment
+ rand_fee = float(fee_increment)*(1.1892**random.randint(0,28))
+ # Total fee ranges from min_fee to min_fee + 127*fee_increment
+ fee = min_fee - fee_increment + satoshi_round(rand_fee)
+ inputs = []
+ total_in = Decimal("0.00000000")
+ while total_in <= (amount + fee) and len(conflist) > 0:
+ t = conflist.pop(0)
+ total_in += t["amount"]
+ inputs.append({ "txid" : t["txid"], "vout" : t["vout"]} )
+ if total_in <= amount + fee:
+ while total_in <= (amount + fee) and len(unconflist) > 0:
+ t = unconflist.pop(0)
+ total_in += t["amount"]
+ inputs.append({ "txid" : t["txid"], "vout" : t["vout"]} )
+ if total_in <= amount + fee:
+ raise RuntimeError("Insufficient funds: need %d, have %d"%(amount+fee, total_in))
+ outputs = {}
+ outputs[P2SH_1] = total_in - amount - fee
+ outputs[P2SH_2] = amount
+ rawtx = from_node.createrawtransaction(inputs, outputs)
+ # Createrawtransaction constructions a transaction that is ready to be signed
+ # These transactions don't need to be signed, but we still have to insert the ScriptSig
+ # that will satisfy the ScriptPubKey.
+ completetx = rawtx[0:10]
+ inputnum = 0
+ for inp in inputs:
+ completetx += rawtx[10+82*inputnum:82+82*inputnum]
+ completetx += SCRIPT_SIG[inp["vout"]]
+ completetx += rawtx[84+82*inputnum:92+82*inputnum]
+ inputnum += 1
+ completetx += rawtx[10+82*inputnum:]
+ txid = from_node.sendrawtransaction(completetx, True)
+ unconflist.append({ "txid" : txid, "vout" : 0 , "amount" : total_in - amount - fee})
+ unconflist.append({ "txid" : txid, "vout" : 1 , "amount" : amount})
+
+ return (completetx, fee)
+
+def split_inputs(from_node, txins, txouts, initial_split = False):
+ '''
+ We need to generate a lot of very small inputs so we can generate a ton of transactions
+ and they will have low priority.
+ This function takes an input from txins, and creates and sends a transaction
+ which splits the value into 2 outputs which are appended to txouts.
+ '''
+ prevtxout = txins.pop()
+ inputs = []
+ outputs = {}
+ inputs.append({ "txid" : prevtxout["txid"], "vout" : prevtxout["vout"] })
+ half_change = satoshi_round(prevtxout["amount"]/2)
+ rem_change = prevtxout["amount"] - half_change - Decimal("0.00001000")
+ outputs[P2SH_1] = half_change
+ outputs[P2SH_2] = rem_change
+ rawtx = from_node.createrawtransaction(inputs, outputs)
+ # If this is the initial split we actually need to sign the transaction
+ # Otherwise we just need to insert the property ScriptSig
+ if (initial_split) :
+ completetx = from_node.signrawtransaction(rawtx)["hex"]
+ else :
+ completetx = rawtx[0:82] + SCRIPT_SIG[prevtxout["vout"]] + rawtx[84:]
+ txid = from_node.sendrawtransaction(completetx, True)
+ txouts.append({ "txid" : txid, "vout" : 0 , "amount" : half_change})
+ txouts.append({ "txid" : txid, "vout" : 1 , "amount" : rem_change})
+
+def check_estimates(node, fees_seen, max_invalid, print_estimates = True):
+ '''
+ This function calls estimatefee and verifies that the estimates
+ meet certain invariants.
+ '''
+ all_estimates = [ node.estimatefee(i) for i in range(1,26) ]
+ if print_estimates:
+ print([str(all_estimates[e-1]) for e in [1,2,3,6,15,25]])
+ delta = 1.0e-6 # account for rounding error
+ last_e = max(fees_seen)
+ for e in filter(lambda x: x >= 0, all_estimates):
+ # Estimates should be within the bounds of what transactions fees actually were:
+ if float(e)+delta < min(fees_seen) or float(e)-delta > max(fees_seen):
+ raise AssertionError("Estimated fee (%f) out of range (%f,%f)"
+ %(float(e), min(fees_seen), max(fees_seen)))
+ # Estimates should be monotonically decreasing
+ if float(e)-delta > last_e:
+ raise AssertionError("Estimated fee (%f) larger than last fee (%f) for lower number of confirms"
+ %(float(e),float(last_e)))
+ last_e = e
+ valid_estimate = False
+ invalid_estimates = 0
+ for e in all_estimates:
+ if e >= 0:
+ valid_estimate = True
+ else:
+ invalid_estimates += 1
+ # Once we're at a high enough confirmation count that we can give an estimate
+ # We should have estimates for all higher confirmation counts
+ if valid_estimate and e < 0:
+ raise AssertionError("Invalid estimate appears at higher confirm count than valid estimate")
+ # Check on the expected number of different confirmation counts
+ # that we might not have valid estimates for
+ if invalid_estimates > max_invalid:
+ raise AssertionError("More than (%d) invalid estimates"%(max_invalid))
+ return all_estimates
+
+
class EstimateFeeTest(BitcoinTestFramework):
def setup_network(self):
+ '''
+ We'll setup the network to have 3 nodes that all mine with different parameters.
+ But first we need to use one node to create a lot of small low priority outputs
+ which we will use to generate our transactions.
+ '''
self.nodes = []
- self.nodes.append(start_node(0, self.options.tmpdir,
- ["-debug=mempool", "-debug=estimatefee", "-relaypriority=0"]))
- # Node1 mines small-but-not-tiny blocks, and allows free transactions.
+ # Use node0 to mine blocks for input splitting
+ self.nodes.append(start_node(0, self.options.tmpdir, ["-maxorphantx=1000",
+ "-relaypriority=0", "-whitelist=127.0.0.1"]))
+
+ print("This test is time consuming, please be patient")
+ print("Splitting inputs to small size so we can generate low priority tx's")
+ self.txouts = []
+ self.txouts2 = []
+ # Split a coinbase into two transaction puzzle outputs
+ split_inputs(self.nodes[0], self.nodes[0].listunspent(0), self.txouts, True)
+
+ # Mine
+ while (len(self.nodes[0].getrawmempool()) > 0):
+ self.nodes[0].generate(1)
+
+ # Repeatedly split those 2 outputs, doubling twice for each rep
+ # Use txouts to monitor the available utxo, since these won't be tracked in wallet
+ reps = 0
+ while (reps < 5):
+ #Double txouts to txouts2
+ while (len(self.txouts)>0):
+ split_inputs(self.nodes[0], self.txouts, self.txouts2)
+ while (len(self.nodes[0].getrawmempool()) > 0):
+ self.nodes[0].generate(1)
+ #Double txouts2 to txouts
+ while (len(self.txouts2)>0):
+ split_inputs(self.nodes[0], self.txouts2, self.txouts)
+ while (len(self.nodes[0].getrawmempool()) > 0):
+ self.nodes[0].generate(1)
+ reps += 1
+ print("Finished splitting")
+
+ # Now we can connect the other nodes, didn't want to connect them earlier
+ # so the estimates would not be affected by the splitting transactions
+ # Node1 mines small blocks but that are bigger than the expected transaction rate,
+ # and allows free transactions.
# NOTE: the CreateNewBlock code starts counting block size at 1,000 bytes,
- # so blockmaxsize of 2,000 is really just 1,000 bytes (room enough for
- # 6 or 7 transactions)
+ # (17k is room enough for 110 or so transactions)
self.nodes.append(start_node(1, self.options.tmpdir,
- ["-blockprioritysize=1500", "-blockmaxsize=2000",
- "-debug=mempool", "-debug=estimatefee", "-relaypriority=0"]))
+ ["-blockprioritysize=1500", "-blockmaxsize=18000",
+ "-maxorphantx=1000", "-relaypriority=0", "-debug=estimatefee"]))
connect_nodes(self.nodes[1], 0)
# Node2 is a stingy miner, that
- # produces very small blocks (room for only 3 or so transactions)
- node2args = [ "-blockprioritysize=0", "-blockmaxsize=1500",
- "-debug=mempool", "-debug=estimatefee", "-relaypriority=0"]
+ # produces too small blocks (room for only 70 or so transactions)
+ node2args = ["-blockprioritysize=0", "-blockmaxsize=12000", "-maxorphantx=1000", "-relaypriority=0"]
+
self.nodes.append(start_node(2, self.options.tmpdir, node2args))
- connect_nodes(self.nodes[2], 0)
+ connect_nodes(self.nodes[0], 2)
+ connect_nodes(self.nodes[2], 1)
self.is_network_split = False
self.sync_all()
-
+
+ def transact_and_mine(self, numblocks, mining_node):
+ min_fee = Decimal("0.00001")
+ # We will now mine numblocks blocks generating on average 100 transactions between each block
+ # We shuffle our confirmed txout set before each set of transactions
+ # small_txpuzzle_randfee will use the transactions that have inputs already in the chain when possible
+ # resorting to tx's that depend on the mempool when those run out
+ for i in range(numblocks):
+ random.shuffle(self.confutxo)
+ for j in range(random.randrange(100-50,100+50)):
+ from_index = random.randint(1,2)
+ (txhex, fee) = small_txpuzzle_randfee(self.nodes[from_index], self.confutxo,
+ self.memutxo, Decimal("0.005"), min_fee, min_fee)
+ tx_kbytes = (len(txhex)/2)/1000.0
+ self.fees_per_kb.append(float(fee)/tx_kbytes)
+ sync_mempools(self.nodes[0:3],.1)
+ mined = mining_node.getblock(mining_node.generate(1)[0],True)["tx"]
+ sync_blocks(self.nodes[0:3],.1)
+ #update which txouts are confirmed
+ newmem = []
+ for utx in self.memutxo:
+ if utx["txid"] in mined:
+ self.confutxo.append(utx)
+ else:
+ newmem.append(utx)
+ self.memutxo = newmem
def run_test(self):
- # Prime the memory pool with pairs of transactions
- # (high-priority, random fee and zero-priority, random fee)
- min_fee = Decimal("0.001")
- fees_per_kb = [];
- for i in range(12):
- (txid, txhex, fee) = random_zeropri_transaction(self.nodes, Decimal("1.1"),
- min_fee, min_fee, 20)
- tx_kbytes = (len(txhex)/2)/1000.0
- fees_per_kb.append(float(fee)/tx_kbytes)
-
- # Mine blocks with node2 until the memory pool clears:
- count_start = self.nodes[2].getblockcount()
- while len(self.nodes[2].getrawmempool()) > 0:
- self.nodes[2].generate(1)
- self.sync_all()
-
- all_estimates = [ self.nodes[0].estimatefee(i) for i in range(1,20) ]
- print("Fee estimates, super-stingy miner: "+str([str(e) for e in all_estimates]))
+ self.fees_per_kb = []
+ self.memutxo = []
+ self.confutxo = self.txouts # Start with the set of confirmed txouts after splitting
+ print("Checking estimates for 1/2/3/6/15/25 blocks")
+ print("Creating transactions and mining them with a huge block size")
+ # Create transactions and mine 20 big blocks with node 0 such that the mempool is always emptied
+ self.transact_and_mine(30, self.nodes[0])
+ check_estimates(self.nodes[1], self.fees_per_kb, 1)
- # Estimates should be within the bounds of what transactions fees actually were:
- delta = 1.0e-6 # account for rounding error
- for e in filter(lambda x: x >= 0, all_estimates):
- if float(e)+delta < min(fees_per_kb) or float(e)-delta > max(fees_per_kb):
- raise AssertionError("Estimated fee (%f) out of range (%f,%f)"%(float(e), min_fee_kb, max_fee_kb))
-
- # Generate transactions while mining 30 more blocks, this time with node1:
- for i in range(30):
- for j in range(random.randrange(6-4,6+4)):
- (txid, txhex, fee) = random_transaction(self.nodes, Decimal("1.1"),
- Decimal("0.0"), min_fee, 20)
- tx_kbytes = (len(txhex)/2)/1000.0
- fees_per_kb.append(float(fee)/tx_kbytes)
- self.nodes[1].generate(1)
- self.sync_all()
+ print("Creating transactions and mining them with a block size that can't keep up")
+ # Create transactions and mine 30 small blocks with node 2, but create txs faster than we can mine
+ self.transact_and_mine(20, self.nodes[2])
+ check_estimates(self.nodes[1], self.fees_per_kb, 3)
- all_estimates = [ self.nodes[0].estimatefee(i) for i in range(1,20) ]
- print("Fee estimates, more generous miner: "+str([ str(e) for e in all_estimates]))
- for e in filter(lambda x: x >= 0, all_estimates):
- if float(e)+delta < min(fees_per_kb) or float(e)-delta > max(fees_per_kb):
- raise AssertionError("Estimated fee (%f) out of range (%f,%f)"%(float(e), min_fee_kb, max_fee_kb))
+ print("Creating transactions and mining them at a block size that is just big enough")
+ # Generate transactions while mining 40 more blocks, this time with node1
+ # which mines blocks with capacity just above the rate that transactions are being created
+ self.transact_and_mine(40, self.nodes[1])
+ check_estimates(self.nodes[1], self.fees_per_kb, 2)
# Finish by mining a normal-sized block:
- while len(self.nodes[0].getrawmempool()) > 0:
- self.nodes[0].generate(1)
- self.sync_all()
-
- final_estimates = [ self.nodes[0].estimatefee(i) for i in range(1,20) ]
- print("Final fee estimates: "+str([ str(e) for e in final_estimates]))
+ while len(self.nodes[1].getrawmempool()) > 0:
+ self.nodes[1].generate(1)
+ sync_blocks(self.nodes[0:3],.1)
+ print("Final estimates after emptying mempools")
+ check_estimates(self.nodes[1], self.fees_per_kb, 2)
if __name__ == '__main__':
EstimateFeeTest().main()
diff --git a/qa/rpc-tests/util.py b/qa/rpc-tests/util.py
index 9ecee31959..ee6d3ca014 100644
--- a/qa/rpc-tests/util.py
+++ b/qa/rpc-tests/util.py
@@ -33,7 +33,7 @@ def check_json_precision():
if satoshis != 2000000000000003:
raise RuntimeError("JSON encode/decode loses precision")
-def sync_blocks(rpc_connections):
+def sync_blocks(rpc_connections, wait=1):
"""
Wait until everybody has the same block count
"""
@@ -41,9 +41,9 @@ def sync_blocks(rpc_connections):
counts = [ x.getblockcount() for x in rpc_connections ]
if counts == [ counts[0] ]*len(counts):
break
- time.sleep(1)
+ time.sleep(wait)
-def sync_mempools(rpc_connections):
+def sync_mempools(rpc_connections, wait=1):
"""
Wait until everybody has the same transactions in their memory
pools
@@ -56,7 +56,7 @@ def sync_mempools(rpc_connections):
num_match = num_match+1
if num_match == len(rpc_connections):
break
- time.sleep(1)
+ time.sleep(wait)
bitcoind_processes = {}
diff --git a/src/Makefile.am b/src/Makefile.am
index 37184b6286..9d9934618e 100644
--- a/src/Makefile.am
+++ b/src/Makefile.am
@@ -105,6 +105,7 @@ BITCOIN_CORE_H = \
netbase.h \
net.h \
noui.h \
+ policy/fees.h \
pow.h \
primitives/block.h \
primitives/transaction.h \
@@ -181,6 +182,7 @@ libbitcoin_server_a_SOURCES = \
miner.cpp \
net.cpp \
noui.cpp \
+ policy/fees.cpp \
pow.cpp \
rest.cpp \
rpcblockchain.cpp \
diff --git a/src/Makefile.test.include b/src/Makefile.test.include
index 52ff3f224f..6c14859d3c 100644
--- a/src/Makefile.test.include
+++ b/src/Makefile.test.include
@@ -56,6 +56,7 @@ BITCOIN_TESTS =\
test/multisig_tests.cpp \
test/netbase_tests.cpp \
test/pmt_tests.cpp \
+ test/policyestimator_tests.cpp \
test/pow_tests.cpp \
test/rpc_tests.cpp \
test/sanity_tests.cpp \
diff --git a/src/main.cpp b/src/main.cpp
index 4352c719a1..45e6e4d25d 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -974,7 +974,7 @@ bool AcceptToMemoryPool(CTxMemPool& pool, CValidationState &state, const CTransa
CAmount nFees = nValueIn-nValueOut;
double dPriority = view.GetPriority(tx, chainActive.Height());
- CTxMemPoolEntry entry(tx, nFees, GetTime(), dPriority, chainActive.Height());
+ CTxMemPoolEntry entry(tx, nFees, GetTime(), dPriority, chainActive.Height(), mempool.HasNoInputsOf(tx));
unsigned int nSize = entry.GetTxSize();
// Don't accept it if it can't get into a block
@@ -1040,7 +1040,7 @@ bool AcceptToMemoryPool(CTxMemPool& pool, CValidationState &state, const CTransa
}
// Store transaction in memory
- pool.addUnchecked(hash, entry);
+ pool.addUnchecked(hash, entry, !IsInitialBlockDownload());
}
SyncWithWallets(tx, NULL);
@@ -2042,7 +2042,7 @@ bool static ConnectTip(CValidationState &state, CBlockIndex *pindexNew, CBlock *
LogPrint("bench", " - Writing chainstate: %.2fms [%.2fs]\n", (nTime5 - nTime4) * 0.001, nTimeChainState * 0.000001);
// Remove conflicting transactions from the mempool.
list<CTransaction> txConflicted;
- mempool.removeForBlock(pblock->vtx, pindexNew->nHeight, txConflicted);
+ mempool.removeForBlock(pblock->vtx, pindexNew->nHeight, txConflicted, !IsInitialBlockDownload());
mempool.check(pcoinsTip);
// Update chainActive & related variables.
UpdateTip(pindexNew);
diff --git a/src/policy/fees.cpp b/src/policy/fees.cpp
new file mode 100644
index 0000000000..b1491cec01
--- /dev/null
+++ b/src/policy/fees.cpp
@@ -0,0 +1,529 @@
+// Copyright (c) 2009-2010 Satoshi Nakamoto
+// Copyright (c) 2009-2015 The Bitcoin developers
+// Distributed under the MIT software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+
+#include "policy/fees.h"
+
+#include "amount.h"
+#include "primitives/transaction.h"
+#include "streams.h"
+#include "txmempool.h"
+#include "util.h"
+
+void TxConfirmStats::Initialize(std::vector<double>& defaultBuckets,
+ unsigned int maxConfirms, double _decay, std::string _dataTypeString)
+{
+ decay = _decay;
+ dataTypeString = _dataTypeString;
+ for (unsigned int i = 0; i < defaultBuckets.size(); i++) {
+ buckets.push_back(defaultBuckets[i]);
+ bucketMap[defaultBuckets[i]] = i;
+ }
+ confAvg.resize(maxConfirms);
+ curBlockConf.resize(maxConfirms);
+ unconfTxs.resize(maxConfirms);
+ for (unsigned int i = 0; i < maxConfirms; i++) {
+ confAvg[i].resize(buckets.size());
+ curBlockConf[i].resize(buckets.size());
+ unconfTxs[i].resize(buckets.size());
+ }
+
+ oldUnconfTxs.resize(buckets.size());
+ curBlockTxCt.resize(buckets.size());
+ txCtAvg.resize(buckets.size());
+ curBlockVal.resize(buckets.size());
+ avg.resize(buckets.size());
+}
+
+// Zero out the data for the current block
+void TxConfirmStats::ClearCurrent(unsigned int nBlockHeight)
+{
+ for (unsigned int j = 0; j < buckets.size(); j++) {
+ oldUnconfTxs[j] += unconfTxs[nBlockHeight%unconfTxs.size()][j];
+ unconfTxs[nBlockHeight%unconfTxs.size()][j] = 0;
+ for (unsigned int i = 0; i < curBlockConf.size(); i++)
+ curBlockConf[i][j] = 0;
+ curBlockTxCt[j] = 0;
+ curBlockVal[j] = 0;
+ }
+}
+
+
+void TxConfirmStats::Record(int blocksToConfirm, double val)
+{
+ // blocksToConfirm is 1-based
+ if (blocksToConfirm < 1)
+ return;
+ unsigned int bucketindex = bucketMap.lower_bound(val)->second;
+ for (size_t i = blocksToConfirm; i <= curBlockConf.size(); i++) {
+ curBlockConf[i - 1][bucketindex]++;
+ }
+ curBlockTxCt[bucketindex]++;
+ curBlockVal[bucketindex] += val;
+}
+
+void TxConfirmStats::UpdateMovingAverages()
+{
+ for (unsigned int j = 0; j < buckets.size(); j++) {
+ for (unsigned int i = 0; i < confAvg.size(); i++)
+ confAvg[i][j] = confAvg[i][j] * decay + curBlockConf[i][j];
+ avg[j] = avg[j] * decay + curBlockVal[j];
+ txCtAvg[j] = txCtAvg[j] * decay + curBlockTxCt[j];
+ }
+}
+
+// returns -1 on error conditions
+double TxConfirmStats::EstimateMedianVal(int confTarget, double sufficientTxVal,
+ double successBreakPoint, bool requireGreater,
+ unsigned int nBlockHeight)
+{
+ // Counters for a bucket (or range of buckets)
+ double nConf = 0; // Number of tx's confirmed within the confTarget
+ double totalNum = 0; // Total number of tx's that were ever confirmed
+ int extraNum = 0; // Number of tx's still in mempool for confTarget or longer
+
+ int maxbucketindex = buckets.size() - 1;
+
+ // requireGreater means we are looking for the lowest fee/priority such that all higher
+ // values pass, so we start at maxbucketindex (highest fee) and look at succesively
+ // smaller buckets until we reach failure. Otherwise, we are looking for the highest
+ // fee/priority such that all lower values fail, and we go in the opposite direction.
+ unsigned int startbucket = requireGreater ? maxbucketindex : 0;
+ int step = requireGreater ? -1 : 1;
+
+ // We'll combine buckets until we have enough samples.
+ // The near and far variables will define the range we've combined
+ // The best variables are the last range we saw which still had a high
+ // enough confirmation rate to count as success.
+ // The cur variables are the current range we're counting.
+ unsigned int curNearBucket = startbucket;
+ unsigned int bestNearBucket = startbucket;
+ unsigned int curFarBucket = startbucket;
+ unsigned int bestFarBucket = startbucket;
+
+ bool foundAnswer = false;
+ unsigned int bins = unconfTxs.size();
+
+ // Start counting from highest(default) or lowest fee/pri transactions
+ for (int bucket = startbucket; bucket >= 0 && bucket <= maxbucketindex; bucket += step) {
+ curFarBucket = bucket;
+ nConf += confAvg[confTarget - 1][bucket];
+ totalNum += txCtAvg[bucket];
+ for (unsigned int confct = confTarget; confct < GetMaxConfirms(); confct++)
+ extraNum += unconfTxs[(nBlockHeight - confct)%bins][bucket];
+ extraNum += oldUnconfTxs[bucket];
+ // If we have enough transaction data points in this range of buckets,
+ // we can test for success
+ // (Only count the confirmed data points, so that each confirmation count
+ // will be looking at the same amount of data and same bucket breaks)
+ if (totalNum >= sufficientTxVal / (1 - decay)) {
+ double curPct = nConf / (totalNum + extraNum);
+
+ // Check to see if we are no longer getting confirmed at the success rate
+ if (requireGreater && curPct < successBreakPoint)
+ break;
+ if (!requireGreater && curPct > successBreakPoint)
+ break;
+
+ // Otherwise update the cumulative stats, and the bucket variables
+ // and reset the counters
+ else {
+ foundAnswer = true;
+ nConf = 0;
+ totalNum = 0;
+ extraNum = 0;
+ bestNearBucket = curNearBucket;
+ bestFarBucket = curFarBucket;
+ curNearBucket = bucket + step;
+ }
+ }
+ }
+
+ double median = -1;
+ double txSum = 0;
+
+ // Calculate the "average" fee of the best bucket range that met success conditions
+ // Find the bucket with the median transaction and then report the average fee from that bucket
+ // This is a compromise between finding the median which we can't since we don't save all tx's
+ // and reporting the average which is less accurate
+ unsigned int minBucket = bestNearBucket < bestFarBucket ? bestNearBucket : bestFarBucket;
+ unsigned int maxBucket = bestNearBucket > bestFarBucket ? bestNearBucket : bestFarBucket;
+ for (unsigned int j = minBucket; j <= maxBucket; j++) {
+ txSum += txCtAvg[j];
+ }
+ if (foundAnswer && txSum != 0) {
+ txSum = txSum / 2;
+ for (unsigned int j = minBucket; j <= maxBucket; j++) {
+ if (txCtAvg[j] < txSum)
+ txSum -= txCtAvg[j];
+ else { // we're in the right bucket
+ median = avg[j] / txCtAvg[j];
+ break;
+ }
+ }
+ }
+
+ LogPrint("estimatefee", "%3d: For conf success %s %4.2f need %s %s: %12.5g from buckets %8g - %8g Cur Bucket stats %6.2f%% %8.1f/(%.1f+%d mempool)\n",
+ confTarget, requireGreater ? ">" : "<", successBreakPoint, dataTypeString,
+ requireGreater ? ">" : "<", median, buckets[minBucket], buckets[maxBucket],
+ 100 * nConf / (totalNum + extraNum), nConf, totalNum, extraNum);
+
+ return median;
+}
+
+void TxConfirmStats::Write(CAutoFile& fileout)
+{
+ fileout << decay;
+ fileout << buckets;
+ fileout << avg;
+ fileout << txCtAvg;
+ fileout << confAvg;
+}
+
+void TxConfirmStats::Read(CAutoFile& filein)
+{
+ // Read data file into temporary variables and do some very basic sanity checking
+ std::vector<double> fileBuckets;
+ std::vector<double> fileAvg;
+ std::vector<std::vector<double> > fileConfAvg;
+ std::vector<double> fileTxCtAvg;
+ double fileDecay;
+ size_t maxConfirms;
+ size_t numBuckets;
+
+ filein >> fileDecay;
+ if (fileDecay <= 0 || fileDecay >= 1)
+ throw std::runtime_error("Corrupt estimates file. Decay must be between 0 and 1 (non-inclusive)");
+ filein >> fileBuckets;
+ numBuckets = fileBuckets.size();
+ if (numBuckets <= 1 || numBuckets > 1000)
+ throw std::runtime_error("Corrupt estimates file. Must have between 2 and 1000 fee/pri buckets");
+ filein >> fileAvg;
+ if (fileAvg.size() != numBuckets)
+ throw std::runtime_error("Corrupt estimates file. Mismatch in fee/pri average bucket count");
+ filein >> fileTxCtAvg;
+ if (fileTxCtAvg.size() != numBuckets)
+ throw std::runtime_error("Corrupt estimates file. Mismatch in tx count bucket count");
+ filein >> fileConfAvg;
+ maxConfirms = fileConfAvg.size();
+ if (maxConfirms <= 0 || maxConfirms > 6 * 24 * 7) // one week
+ throw std::runtime_error("Corrupt estimates file. Must maintain estimates for between 1 and 1008 (one week) confirms");
+ for (unsigned int i = 0; i < maxConfirms; i++) {
+ if (fileConfAvg[i].size() != numBuckets)
+ throw std::runtime_error("Corrupt estimates file. Mismatch in fee/pri conf average bucket count");
+ }
+ // Now that we've processed the entire fee estimate data file and not
+ // thrown any errors, we can copy it to our data structures
+ decay = fileDecay;
+ buckets = fileBuckets;
+ avg = fileAvg;
+ confAvg = fileConfAvg;
+ txCtAvg = fileTxCtAvg;
+ bucketMap.clear();
+
+ // Resize the current block variables which aren't stored in the data file
+ // to match the number of confirms and buckets
+ curBlockConf.resize(maxConfirms);
+ for (unsigned int i = 0; i < maxConfirms; i++) {
+ curBlockConf[i].resize(buckets.size());
+ }
+ curBlockTxCt.resize(buckets.size());
+ curBlockVal.resize(buckets.size());
+
+ unconfTxs.resize(maxConfirms);
+ for (unsigned int i = 0; i < maxConfirms; i++) {
+ unconfTxs[i].resize(buckets.size());
+ }
+ oldUnconfTxs.resize(buckets.size());
+
+ for (unsigned int i = 0; i < buckets.size(); i++)
+ bucketMap[buckets[i]] = i;
+
+ LogPrint("estimatefee", "Reading estimates: %u %s buckets counting confirms up to %u blocks\n",
+ numBuckets, dataTypeString, maxConfirms);
+}
+
+unsigned int TxConfirmStats::NewTx(unsigned int nBlockHeight, double val)
+{
+ unsigned int bucketindex = bucketMap.lower_bound(val)->second;
+ unsigned int blockIndex = nBlockHeight % unconfTxs.size();
+ unconfTxs[blockIndex][bucketindex]++;
+ LogPrint("estimatefee", "adding to %s\n", dataTypeString);
+ return bucketindex;
+}
+
+void TxConfirmStats::removeTx(unsigned int entryHeight, unsigned int nBestSeenHeight, unsigned int bucketindex)
+{
+ //nBestSeenHeight is not updated yet for the new block
+ int blocksAgo = nBestSeenHeight - entryHeight;
+ if (nBestSeenHeight == 0) // the BlockPolicyEstimator hasn't seen any blocks yet
+ blocksAgo = 0;
+ if (blocksAgo < 0) {
+ LogPrint("estimatefee", "Blockpolicy error, blocks ago is negative for mempool tx\n");
+ return; //This can't happen becasue we call this with our best seen height, no entries can have higher
+ }
+
+ if (blocksAgo >= (int)unconfTxs.size()) {
+ if (oldUnconfTxs[bucketindex] > 0)
+ oldUnconfTxs[bucketindex]--;
+ else
+ LogPrint("estimatefee", "Blockpolicy error, mempool tx removed from >25 blocks,bucketIndex=%u already\n",
+ bucketindex);
+ }
+ else {
+ unsigned int blockIndex = entryHeight % unconfTxs.size();
+ if (unconfTxs[blockIndex][bucketindex] > 0)
+ unconfTxs[blockIndex][bucketindex]--;
+ else
+ LogPrint("estimatefee", "Blockpolicy error, mempool tx removed from blockIndex=%u,bucketIndex=%u already\n",
+ blockIndex, bucketindex);
+ }
+}
+
+void CBlockPolicyEstimator::removeTx(uint256 hash)
+{
+ std::map<uint256, TxStatsInfo>::iterator pos = mapMemPoolTxs.find(hash);
+ if (pos == mapMemPoolTxs.end()) {
+ LogPrint("estimatefee", "Blockpolicy error mempool tx %s not found for removeTx\n",
+ hash.ToString().c_str());
+ return;
+ }
+ TxConfirmStats *stats = pos->second.stats;
+ unsigned int entryHeight = pos->second.blockHeight;
+ unsigned int bucketIndex = pos->second.bucketIndex;
+
+ if (stats != NULL)
+ stats->removeTx(entryHeight, nBestSeenHeight, bucketIndex);
+ mapMemPoolTxs.erase(hash);
+}
+
+CBlockPolicyEstimator::CBlockPolicyEstimator(const CFeeRate& _minRelayFee)
+ : nBestSeenHeight(0)
+{
+ minTrackedFee = _minRelayFee < CFeeRate(MIN_FEERATE) ? CFeeRate(MIN_FEERATE) : _minRelayFee;
+ std::vector<double> vfeelist;
+ for (double bucketBoundary = minTrackedFee.GetFeePerK(); bucketBoundary <= MAX_FEERATE; bucketBoundary *= FEE_SPACING) {
+ vfeelist.push_back(bucketBoundary);
+ }
+ vfeelist.push_back(INF_FEERATE);
+ feeStats.Initialize(vfeelist, MAX_BLOCK_CONFIRMS, DEFAULT_DECAY, "FeeRate");
+
+ minTrackedPriority = AllowFreeThreshold() < MIN_PRIORITY ? MIN_PRIORITY : AllowFreeThreshold();
+ std::vector<double> vprilist;
+ for (double bucketBoundary = minTrackedPriority; bucketBoundary <= MAX_PRIORITY; bucketBoundary *= PRI_SPACING) {
+ vprilist.push_back(bucketBoundary);
+ }
+ vprilist.push_back(INF_PRIORITY);
+ priStats.Initialize(vprilist, MAX_BLOCK_CONFIRMS, DEFAULT_DECAY, "Priority");
+
+ feeUnlikely = CFeeRate(0);
+ feeLikely = CFeeRate(INF_FEERATE);
+ priUnlikely = 0;
+ priLikely = INF_PRIORITY;
+}
+
+bool CBlockPolicyEstimator::isFeeDataPoint(const CFeeRate &fee, double pri)
+{
+ if ((pri < minTrackedPriority && fee >= minTrackedFee) ||
+ (pri < priUnlikely && fee > feeLikely)) {
+ return true;
+ }
+ return false;
+}
+
+bool CBlockPolicyEstimator::isPriDataPoint(const CFeeRate &fee, double pri)
+{
+ if ((fee < minTrackedFee && pri >= minTrackedPriority) ||
+ (fee < feeUnlikely && pri > priLikely)) {
+ return true;
+ }
+ return false;
+}
+
+void CBlockPolicyEstimator::processTransaction(const CTxMemPoolEntry& entry, bool fCurrentEstimate)
+{
+ unsigned int txHeight = entry.GetHeight();
+ uint256 hash = entry.GetTx().GetHash();
+ if (mapMemPoolTxs[hash].stats != NULL) {
+ LogPrint("estimatefee", "Blockpolicy error mempool tx %s already being tracked\n",
+ hash.ToString().c_str());
+ return;
+ }
+
+ if (txHeight < nBestSeenHeight) {
+ // Ignore side chains and re-orgs; assuming they are random they don't
+ // affect the estimate. We'll potentially double count transactions in 1-block reorgs.
+ return;
+ }
+
+ // Only want to be updating estimates when our blockchain is synced,
+ // otherwise we'll miscalculate how many blocks its taking to get included.
+ if (!fCurrentEstimate)
+ return;
+
+ if (!entry.WasClearAtEntry()) {
+ // This transaction depends on other transactions in the mempool to
+ // be included in a block before it will be able to be included, so
+ // we shouldn't include it in our calculations
+ return;
+ }
+
+ // Fees are stored and reported as BTC-per-kb:
+ CFeeRate feeRate(entry.GetFee(), entry.GetTxSize());
+
+ // Want the priority of the tx at confirmation. However we don't know
+ // what that will be and its too hard to continue updating it
+ // so use starting priority as a proxy
+ double curPri = entry.GetPriority(txHeight);
+ mapMemPoolTxs[hash].blockHeight = txHeight;
+
+ LogPrint("estimatefee", "Blockpolicy mempool tx %s ", hash.ToString().substr(0,10));
+ // Record this as a priority estimate
+ if (entry.GetFee() == 0 || isPriDataPoint(feeRate, curPri)) {
+ mapMemPoolTxs[hash].stats = &priStats;
+ mapMemPoolTxs[hash].bucketIndex = priStats.NewTx(txHeight, curPri);
+ }
+ // Record this as a fee estimate
+ else if (isFeeDataPoint(feeRate, curPri)) {
+ mapMemPoolTxs[hash].stats = &feeStats;
+ mapMemPoolTxs[hash].bucketIndex = feeStats.NewTx(txHeight, (double)feeRate.GetFeePerK());
+ }
+ else {
+ LogPrint("estimatefee", "not adding\n");
+ }
+}
+
+void CBlockPolicyEstimator::processBlockTx(unsigned int nBlockHeight, const CTxMemPoolEntry& entry)
+{
+ if (!entry.WasClearAtEntry()) {
+ // This transaction depended on other transactions in the mempool to
+ // be included in a block before it was able to be included, so
+ // we shouldn't include it in our calculations
+ return;
+ }
+
+ // How many blocks did it take for miners to include this transaction?
+ // blocksToConfirm is 1-based, so a transaction included in the earliest
+ // possible block has confirmation count of 1
+ int blocksToConfirm = nBlockHeight - entry.GetHeight();
+ if (blocksToConfirm <= 0) {
+ // This can't happen because we don't process transactions from a block with a height
+ // lower than our greatest seen height
+ LogPrint("estimatefee", "Blockpolicy error Transaction had negative blocksToConfirm\n");
+ return;
+ }
+
+ // Fees are stored and reported as BTC-per-kb:
+ CFeeRate feeRate(entry.GetFee(), entry.GetTxSize());
+
+ // Want the priority of the tx at confirmation. The priority when it
+ // entered the mempool could easily be very small and change quickly
+ double curPri = entry.GetPriority(nBlockHeight);
+
+ // Record this as a priority estimate
+ if (entry.GetFee() == 0 || isPriDataPoint(feeRate, curPri)) {
+ priStats.Record(blocksToConfirm, curPri);
+ }
+ // Record this as a fee estimate
+ else if (isFeeDataPoint(feeRate, curPri)) {
+ feeStats.Record(blocksToConfirm, (double)feeRate.GetFeePerK());
+ }
+}
+
+void CBlockPolicyEstimator::processBlock(unsigned int nBlockHeight,
+ std::vector<CTxMemPoolEntry>& entries, bool fCurrentEstimate)
+{
+ if (nBlockHeight <= nBestSeenHeight) {
+ // Ignore side chains and re-orgs; assuming they are random
+ // they don't affect the estimate.
+ // And if an attacker can re-org the chain at will, then
+ // you've got much bigger problems than "attacker can influence
+ // transaction fees."
+ return;
+ }
+ nBestSeenHeight = nBlockHeight;
+
+ // Only want to be updating estimates when our blockchain is synced,
+ // otherwise we'll miscalculate how many blocks its taking to get included.
+ if (!fCurrentEstimate)
+ return;
+
+ // Update the dynamic cutoffs
+ // a fee/priority is "likely" the reason your tx was included in a block if >85% of such tx's
+ // were confirmed in 2 blocks and is "unlikely" if <50% were confirmed in 10 blocks
+ LogPrint("estimatefee", "Blockpolicy recalculating dynamic cutoffs:\n");
+ priLikely = priStats.EstimateMedianVal(2, SUFFICIENT_PRITXS, MIN_SUCCESS_PCT, true, nBlockHeight);
+ if (priLikely == -1)
+ priLikely = INF_PRIORITY;
+
+ double feeLikelyEst = feeStats.EstimateMedianVal(2, SUFFICIENT_FEETXS, MIN_SUCCESS_PCT, true, nBlockHeight);
+ if (feeLikelyEst == -1)
+ feeLikely = CFeeRate(INF_FEERATE);
+ else
+ feeLikely = CFeeRate(feeLikelyEst);
+
+ priUnlikely = priStats.EstimateMedianVal(10, SUFFICIENT_PRITXS, UNLIKELY_PCT, false, nBlockHeight);
+ if (priUnlikely == -1)
+ priUnlikely = 0;
+
+ double feeUnlikelyEst = feeStats.EstimateMedianVal(10, SUFFICIENT_FEETXS, UNLIKELY_PCT, false, nBlockHeight);
+ if (feeUnlikelyEst == -1)
+ feeUnlikely = CFeeRate(0);
+ else
+ feeUnlikely = CFeeRate(feeUnlikelyEst);
+
+ // Clear the current block states
+ feeStats.ClearCurrent(nBlockHeight);
+ priStats.ClearCurrent(nBlockHeight);
+
+ // Repopulate the current block states
+ for (unsigned int i = 0; i < entries.size(); i++)
+ processBlockTx(nBlockHeight, entries[i]);
+
+ // Update all exponential averages with the current block states
+ feeStats.UpdateMovingAverages();
+ priStats.UpdateMovingAverages();
+
+ LogPrint("estimatefee", "Blockpolicy after updating estimates for %u confirmed entries, new mempool map size %u\n",
+ entries.size(), mapMemPoolTxs.size());
+}
+
+CFeeRate CBlockPolicyEstimator::estimateFee(int confTarget)
+{
+ // Return failure if trying to analyze a target we're not tracking
+ if (confTarget <= 0 || (unsigned int)confTarget > feeStats.GetMaxConfirms())
+ return CFeeRate(0);
+
+ double median = feeStats.EstimateMedianVal(confTarget, SUFFICIENT_FEETXS, MIN_SUCCESS_PCT, true, nBestSeenHeight);
+
+ if (median < 0)
+ return CFeeRate(0);
+
+ return CFeeRate(median);
+}
+
+double CBlockPolicyEstimator::estimatePriority(int confTarget)
+{
+ // Return failure if trying to analyze a target we're not tracking
+ if (confTarget <= 0 || (unsigned int)confTarget > priStats.GetMaxConfirms())
+ return -1;
+
+ return priStats.EstimateMedianVal(confTarget, SUFFICIENT_PRITXS, MIN_SUCCESS_PCT, true, nBestSeenHeight);
+}
+
+void CBlockPolicyEstimator::Write(CAutoFile& fileout)
+{
+ fileout << nBestSeenHeight;
+ feeStats.Write(fileout);
+ priStats.Write(fileout);
+}
+
+void CBlockPolicyEstimator::Read(CAutoFile& filein)
+{
+ int nFileBestSeenHeight;
+ filein >> nFileBestSeenHeight;
+ feeStats.Read(filein);
+ priStats.Read(filein);
+ nBestSeenHeight = nFileBestSeenHeight;
+}
diff --git a/src/policy/fees.h b/src/policy/fees.h
new file mode 100644
index 0000000000..ce4d782566
--- /dev/null
+++ b/src/policy/fees.h
@@ -0,0 +1,276 @@
+// Copyright (c) 2009-2010 Satoshi Nakamoto
+// Copyright (c) 2009-2015 The Bitcoin developers
+// Distributed under the MIT software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+#ifndef BITCOIN_POLICYESTIMATOR_H
+#define BITCOIN_POLICYESTIMATOR_H
+
+#include "amount.h"
+#include "uint256.h"
+
+#include <map>
+#include <string>
+#include <vector>
+
+class CAutoFile;
+class CFeeRate;
+class CTxMemPoolEntry;
+
+/** \class CBlockPolicyEstimator
+ * The BlockPolicyEstimator is used for estimating the fee or priority needed
+ * for a transaction to be included in a block within a certain number of
+ * blocks.
+ *
+ * At a high level the algorithm works by grouping transactions into buckets
+ * based on having similar priorities or fees and then tracking how long it
+ * takes transactions in the various buckets to be mined. It operates under
+ * the assumption that in general transactions of higher fee/priority will be
+ * included in blocks before transactions of lower fee/priority. So for
+ * example if you wanted to know what fee you should put on a transaction to
+ * be included in a block within the next 5 blocks, you would start by looking
+ * at the bucket with with the highest fee transactions and verifying that a
+ * sufficiently high percentage of them were confirmed within 5 blocks and
+ * then you would look at the next highest fee bucket, and so on, stopping at
+ * the last bucket to pass the test. The average fee of transactions in this
+ * bucket will give you an indication of the lowest fee you can put on a
+ * transaction and still have a sufficiently high chance of being confirmed
+ * within your desired 5 blocks.
+ *
+ * When a transaction enters the mempool or is included within a block we
+ * decide whether it can be used as a data point for fee estimation, priority
+ * estimation or neither. If the value of exactly one of those properties was
+ * below the required minimum it can be used to estimate the other. In
+ * addition, if a priori our estimation code would indicate that the
+ * transaction would be much more quickly included in a block because of one
+ * of the properties compared to the other, we can also decide to use it as
+ * an estimate for that property.
+ *
+ * Here is a brief description of the implementation for fee estimation.
+ * When a transaction that counts for fee estimation enters the mempool, we
+ * track the height of the block chain at entry. Whenever a block comes in,
+ * we count the number of transactions in each bucket and the total amount of fee
+ * paid in each bucket. Then we calculate how many blocks Y it took each
+ * transaction to be mined and we track an array of counters in each bucket
+ * for how long it to took transactions to get confirmed from 1 to a max of 25
+ * and we increment all the counters from Y up to 25. This is because for any
+ * number Z>=Y the transaction was successfully mined within Z blocks. We
+ * want to save a history of this information, so at any time we have a
+ * counter of the total number of transactions that happened in a given fee
+ * bucket and the total number that were confirmed in each number 1-25 blocks
+ * or less for any bucket. We save this history by keeping an exponentially
+ * decaying moving average of each one of these stats. Furthermore we also
+ * keep track of the number unmined (in mempool) transactions in each bucket
+ * and for how many blocks they have been outstanding and use that to increase
+ * the number of transactions we've seen in that fee bucket when calculating
+ * an estimate for any number of confirmations below the number of blocks
+ * they've been outstanding.
+ */
+
+/**
+ * We will instantiate two instances of this class, one to track transactions
+ * that were included in a block due to fee, and one for tx's included due to
+ * priority. We will lump transactions into a bucket according to their approximate
+ * fee or priority and then track how long it took for those txs to be included in a block
+ *
+ * The tracking of unconfirmed (mempool) transactions is completely independent of the
+ * historical tracking of transactions that have been confirmed in a block.
+ */
+class TxConfirmStats
+{
+private:
+ //Define the buckets we will group transactions into (both fee buckets and priority buckets)
+ std::vector<double> buckets; // The upper-bound of the range for the bucket (inclusive)
+ std::map<double, unsigned int> bucketMap; // Map of bucket upper-bound to index into all vectors by bucket
+
+ // For each bucket X:
+ // Count the total # of txs in each bucket
+ // Track the historical moving average of this total over blocks
+ std::vector<double> txCtAvg;
+ // and calcuate the total for the current block to update the moving average
+ std::vector<int> curBlockTxCt;
+
+ // Count the total # of txs confirmed within Y blocks in each bucket
+ // Track the historical moving average of theses totals over blocks
+ std::vector<std::vector<double> > confAvg; // confAvg[Y][X]
+ // and calcuate the totals for the current block to update the moving averages
+ std::vector<std::vector<int> > curBlockConf; // curBlockConf[Y][X]
+
+ // Sum the total priority/fee of all tx's in each bucket
+ // Track the historical moving average of this total over blocks
+ std::vector<double> avg;
+ // and calculate the total for the current block to update the moving average
+ std::vector<double> curBlockVal;
+
+ // Combine the conf counts with tx counts to calculate the confirmation % for each Y,X
+ // Combine the total value with the tx counts to calculate the avg fee/priority per bucket
+
+ std::string dataTypeString;
+ double decay;
+
+ // Mempool counts of outstanding transactions
+ // For each bucket X, track the number of transactions in the mempool
+ // that are unconfirmed for each possible confirmation value Y
+ std::vector<std::vector<int> > unconfTxs; //unconfTxs[Y][X]
+ // transactions still unconfirmed after MAX_CONFIRMS for each bucket
+ std::vector<int> oldUnconfTxs;
+
+public:
+ /**
+ * Initialize the data structures. This is called by BlockPolicyEstimator's
+ * constructor with default values.
+ * @param defaultBuckets contains the upper limits for the bucket boundries
+ * @param maxConfirms max number of confirms to track
+ * @param decay how much to decay the historical moving average per block
+ * @param dataTypeString for logging purposes
+ */
+ void Initialize(std::vector<double>& defaultBuckets, unsigned int maxConfirms, double decay, std::string dataTypeString);
+
+ /** Clear the state of the curBlock variables to start counting for the new block */
+ void ClearCurrent(unsigned int nBlockHeight);
+
+ /**
+ * Record a new transaction data point in the current block stats
+ * @param blocksToConfirm the number of blocks it took this transaction to confirm
+ * @param val either the fee or the priority when entered of the transaction
+ * @warning blocksToConfirm is 1-based and has to be >= 1
+ */
+ void Record(int blocksToConfirm, double val);
+
+ /** Record a new transaction entering the mempool*/
+ unsigned int NewTx(unsigned int nBlockHeight, double val);
+
+ /** Remove a transaction from mempool tracking stats*/
+ void removeTx(unsigned int entryHeight, unsigned int nBestSeenHeight,
+ unsigned int bucketIndex);
+
+ /** Update our estimates by decaying our historical moving average and updating
+ with the data gathered from the current block */
+ void UpdateMovingAverages();
+
+ /**
+ * Calculate a fee or priority estimate. Find the lowest value bucket (or range of buckets
+ * to make sure we have enough data points) whose transactions still have sufficient likelihood
+ * of being confirmed within the target number of confirmations
+ * @param confTarget target number of confirmations
+ * @param sufficientTxVal required average number of transactions per block in a bucket range
+ * @param minSuccess the success probability we require
+ * @param requireGreater return the lowest fee/pri such that all higher values pass minSuccess OR
+ * return the highest fee/pri such that all lower values fail minSuccess
+ * @param nBlockHeight the current block height
+ */
+ double EstimateMedianVal(int confTarget, double sufficientTxVal,
+ double minSuccess, bool requireGreater, unsigned int nBlockHeight);
+
+ /** Return the max number of confirms we're tracking */
+ unsigned int GetMaxConfirms() { return confAvg.size(); }
+
+ /** Write state of estimation data to a file*/
+ void Write(CAutoFile& fileout);
+
+ /**
+ * Read saved state of estimation data from a file and replace all internal data structures and
+ * variables with this state.
+ */
+ void Read(CAutoFile& filein);
+};
+
+
+
+/** Track confirm delays up to 25 blocks, can't estimate beyond that */
+static const unsigned int MAX_BLOCK_CONFIRMS = 25;
+
+/** Decay of .998 is a half-life of 346 blocks or about 2.4 days */
+static const double DEFAULT_DECAY = .998;
+
+/** Require greater than 85% of X fee transactions to be confirmed within Y blocks for X to be big enough */
+static const double MIN_SUCCESS_PCT = .85;
+static const double UNLIKELY_PCT = .5;
+
+/** Require an avg of 1 tx in the combined fee bucket per block to have stat significance */
+static const double SUFFICIENT_FEETXS = 1;
+
+/** Require only an avg of 1 tx every 5 blocks in the combined pri bucket (way less pri txs) */
+static const double SUFFICIENT_PRITXS = .2;
+
+// Minimum and Maximum values for tracking fees and priorities
+static const double MIN_FEERATE = 10;
+static const double MAX_FEERATE = 1e7;
+static const double INF_FEERATE = MAX_MONEY;
+static const double MIN_PRIORITY = 10;
+static const double MAX_PRIORITY = 1e16;
+static const double INF_PRIORITY = 1e9 * MAX_MONEY;
+
+// We have to lump transactions into buckets based on fee or priority, but we want to be able
+// to give accurate estimates over a large range of potential fees and priorities
+// Therefore it makes sense to exponentially space the buckets
+/** Spacing of FeeRate buckets */
+static const double FEE_SPACING = 1.1;
+
+/** Spacing of Priority buckets */
+static const double PRI_SPACING = 2;
+
+/**
+ * We want to be able to estimate fees or priorities that are needed on tx's to be included in
+ * a certain number of blocks. Every time a block is added to the best chain, this class records
+ * stats on the transactions included in that block
+ */
+class CBlockPolicyEstimator
+{
+public:
+ /** Create new BlockPolicyEstimator and initialize stats tracking classes with default values */
+ CBlockPolicyEstimator(const CFeeRate& minRelayFee);
+
+ /** Process all the transactions that have been included in a block */
+ void processBlock(unsigned int nBlockHeight,
+ std::vector<CTxMemPoolEntry>& entries, bool fCurrentEstimate);
+
+ /** Process a transaction confirmed in a block*/
+ void processBlockTx(unsigned int nBlockHeight, const CTxMemPoolEntry& entry);
+
+ /** Process a transaction accepted to the mempool*/
+ void processTransaction(const CTxMemPoolEntry& entry, bool fCurrentEstimate);
+
+ /** Remove a transaction from the mempool tracking stats*/
+ void removeTx(uint256 hash);
+
+ /** Is this transaction likely included in a block because of its fee?*/
+ bool isFeeDataPoint(const CFeeRate &fee, double pri);
+
+ /** Is this transaction likely included in a block because of its priority?*/
+ bool isPriDataPoint(const CFeeRate &fee, double pri);
+
+ /** Return a fee estimate */
+ CFeeRate estimateFee(int confTarget);
+
+ /** Return a priority estimate */
+ double estimatePriority(int confTarget);
+
+ /** Write estimation data to a file */
+ void Write(CAutoFile& fileout);
+
+ /** Read estimation data from a file */
+ void Read(CAutoFile& filein);
+
+private:
+ CFeeRate minTrackedFee; //! Passed to constructor to avoid dependency on main
+ double minTrackedPriority; //! Set to AllowFreeThreshold
+ unsigned int nBestSeenHeight;
+ struct TxStatsInfo
+ {
+ TxConfirmStats *stats;
+ unsigned int blockHeight;
+ unsigned int bucketIndex;
+ TxStatsInfo() : stats(NULL), blockHeight(0), bucketIndex(0) {}
+ };
+
+ // map of txids to information about that transaction
+ std::map<uint256, TxStatsInfo> mapMemPoolTxs;
+
+ /** Classes to track historical data on transaction confirmations */
+ TxConfirmStats feeStats, priStats;
+
+ /** Breakpoints to help determine whether a transaction was confirmed by priority or Fee */
+ CFeeRate feeLikely, feeUnlikely;
+ double priLikely, priUnlikely;
+};
+#endif /*BITCOIN_POLICYESTIMATOR_H */
diff --git a/src/test/policyestimator_tests.cpp b/src/test/policyestimator_tests.cpp
new file mode 100644
index 0000000000..cb64ee7c69
--- /dev/null
+++ b/src/test/policyestimator_tests.cpp
@@ -0,0 +1,186 @@
+// Copyright (c) 2011-2015 The Bitcoin Core developers
+// Distributed under the MIT software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+
+#include "policy/fees.h"
+#include "txmempool.h"
+#include "uint256.h"
+#include "util.h"
+
+#include "test/test_bitcoin.h"
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_FIXTURE_TEST_SUITE(policyestimator_tests, BasicTestingSetup)
+
+BOOST_AUTO_TEST_CASE(BlockPolicyEstimates)
+{
+ CTxMemPool mpool(CFeeRate(1000));
+ CAmount basefee(2000);
+ double basepri = 1e6;
+ CAmount deltaFee(100);
+ double deltaPri=5e5;
+ std::vector<CAmount> feeV[2];
+ std::vector<double> priV[2];
+
+ // Populate vectors of increasing fees or priorities
+ for (int j = 0; j < 10; j++) {
+ //V[0] is for fee transactions
+ feeV[0].push_back(basefee * (j+1));
+ priV[0].push_back(0);
+ //V[1] is for priority transactions
+ feeV[1].push_back(CAmount(0));
+ priV[1].push_back(basepri * pow(10, j+1));
+ }
+
+ // Store the hashes of transactions that have been
+ // added to the mempool by their associate fee/pri
+ // txHashes[j] is populated with transactions either of
+ // fee = basefee * (j+1) OR pri = 10^6 * 10^(j+1)
+ std::vector<uint256> txHashes[10];
+
+ // Create a transaction template
+ CScript garbage;
+ for (unsigned int i = 0; i < 128; i++)
+ garbage.push_back('X');
+ CMutableTransaction tx;
+ std::list<CTransaction> dummyConflicted;
+ tx.vin.resize(1);
+ tx.vin[0].scriptSig = garbage;
+ tx.vout.resize(1);
+ tx.vout[0].nValue=0LL;
+ CFeeRate baseRate(basefee, ::GetSerializeSize(tx, SER_NETWORK, PROTOCOL_VERSION));
+
+ // Create a fake block
+ std::vector<CTransaction> block;
+ int blocknum = 0;
+
+ // Loop through 200 blocks
+ // At a decay .998 and 4 fee transactions per block
+ // This makes the tx count about 1.33 per bucket, above the 1 threshold
+ while (blocknum < 200) {
+ for (int j = 0; j < 10; j++) { // For each fee/pri multiple
+ for (int k = 0; k < 5; k++) { // add 4 fee txs for every priority tx
+ tx.vin[0].prevout.n = 10000*blocknum+100*j+k; // make transaction unique
+ uint256 hash = tx.GetHash();
+ mpool.addUnchecked(hash, CTxMemPoolEntry(tx, feeV[k/4][j], GetTime(), priV[k/4][j], blocknum, mpool.HasNoInputsOf(tx)));
+ txHashes[j].push_back(hash);
+ }
+ }
+ //Create blocks where higher fee/pri txs are included more often
+ for (int h = 0; h <= blocknum%10; h++) {
+ // 10/10 blocks add highest fee/pri transactions
+ // 9/10 blocks add 2nd highest and so on until ...
+ // 1/10 blocks add lowest fee/pri transactions
+ while (txHashes[9-h].size()) {
+ CTransaction btx;
+ if (mpool.lookup(txHashes[9-h].back(), btx))
+ block.push_back(btx);
+ txHashes[9-h].pop_back();
+ }
+ }
+ mpool.removeForBlock(block, ++blocknum, dummyConflicted);
+ block.clear();
+ if (blocknum == 30) {
+ // At this point we should need to combine 5 buckets to get enough data points
+ // So estimateFee(1) should fail and estimateFee(2) should return somewhere around
+ // 8*baserate
+ BOOST_CHECK(mpool.estimateFee(1) == CFeeRate(0));
+ BOOST_CHECK(mpool.estimateFee(2).GetFeePerK() < 8*baseRate.GetFeePerK() + deltaFee);
+ BOOST_CHECK(mpool.estimateFee(2).GetFeePerK() > 8*baseRate.GetFeePerK() - deltaFee);
+ }
+ }
+
+ std::vector<CAmount> origFeeEst;
+ std::vector<double> origPriEst;
+ // Highest feerate is 10*baseRate and gets in all blocks,
+ // second highest feerate is 9*baseRate and gets in 9/10 blocks = 90%,
+ // third highest feerate is 8*base rate, and gets in 8/10 blocks = 80%,
+ // so estimateFee(1) should return 9*baseRate.
+ // Third highest feerate has 90% chance of being included by 2 blocks,
+ // so estimateFee(2) should return 8*baseRate etc...
+ for (int i = 1; i < 10;i++) {
+ origFeeEst.push_back(mpool.estimateFee(i).GetFeePerK());
+ origPriEst.push_back(mpool.estimatePriority(i));
+ if (i > 1) { // Fee estimates should be monotonically decreasing
+ BOOST_CHECK(origFeeEst[i-1] <= origFeeEst[i-2]);
+ BOOST_CHECK(origPriEst[i-1] <= origPriEst[i-2]);
+ }
+ BOOST_CHECK(origFeeEst[i-1] < (10-i)*baseRate.GetFeePerK() + deltaFee);
+ BOOST_CHECK(origFeeEst[i-1] > (10-i)*baseRate.GetFeePerK() - deltaFee);
+ BOOST_CHECK(origPriEst[i-1] < pow(10,10-i) * basepri + deltaPri);
+ BOOST_CHECK(origPriEst[i-1] > pow(10,10-i) * basepri - deltaPri);
+ }
+
+ // Mine 50 more blocks with no transactions happening, estimates shouldn't change
+ // We haven't decayed the moving average enough so we still have enough data points in every bucket
+ while (blocknum < 250)
+ mpool.removeForBlock(block, ++blocknum, dummyConflicted);
+
+ for (int i = 1; i < 10;i++) {
+ BOOST_CHECK(mpool.estimateFee(i).GetFeePerK() < origFeeEst[i-1] + deltaFee);
+ BOOST_CHECK(mpool.estimateFee(i).GetFeePerK() > origFeeEst[i-1] - deltaFee);
+ BOOST_CHECK(mpool.estimatePriority(i) < origPriEst[i-1] + deltaPri);
+ BOOST_CHECK(mpool.estimatePriority(i) > origPriEst[i-1] - deltaPri);
+ }
+
+
+ // Mine 15 more blocks with lots of transactions happening and not getting mined
+ // Estimates should go up
+ while (blocknum < 265) {
+ for (int j = 0; j < 10; j++) { // For each fee/pri multiple
+ for (int k = 0; k < 5; k++) { // add 4 fee txs for every priority tx
+ tx.vin[0].prevout.n = 10000*blocknum+100*j+k;
+ uint256 hash = tx.GetHash();
+ mpool.addUnchecked(hash, CTxMemPoolEntry(tx, feeV[k/4][j], GetTime(), priV[k/4][j], blocknum, mpool.HasNoInputsOf(tx)));
+ txHashes[j].push_back(hash);
+ }
+ }
+ mpool.removeForBlock(block, ++blocknum, dummyConflicted);
+ }
+
+ for (int i = 1; i < 10;i++) {
+ BOOST_CHECK(mpool.estimateFee(i).GetFeePerK() > origFeeEst[i-1] - deltaFee);
+ BOOST_CHECK(mpool.estimatePriority(i) > origPriEst[i-1] - deltaPri);
+ }
+
+ // Mine all those transactions
+ // Estimates should still not be below original
+ for (int j = 0; j < 10; j++) {
+ while(txHashes[j].size()) {
+ CTransaction btx;
+ if (mpool.lookup(txHashes[j].back(), btx))
+ block.push_back(btx);
+ txHashes[j].pop_back();
+ }
+ }
+ mpool.removeForBlock(block, 265, dummyConflicted);
+ block.clear();
+ for (int i = 1; i < 10;i++) {
+ BOOST_CHECK(mpool.estimateFee(i).GetFeePerK() > origFeeEst[i-1] - deltaFee);
+ BOOST_CHECK(mpool.estimatePriority(i) > origPriEst[i-1] - deltaPri);
+ }
+
+ // Mine 100 more blocks where everything is mined every block
+ // Estimates should be below original estimates (not possible for last estimate)
+ while (blocknum < 365) {
+ for (int j = 0; j < 10; j++) { // For each fee/pri multiple
+ for (int k = 0; k < 5; k++) { // add 4 fee txs for every priority tx
+ tx.vin[0].prevout.n = 10000*blocknum+100*j+k;
+ uint256 hash = tx.GetHash();
+ mpool.addUnchecked(hash, CTxMemPoolEntry(tx, feeV[k/4][j], GetTime(), priV[k/4][j], blocknum, mpool.HasNoInputsOf(tx)));
+ CTransaction btx;
+ if (mpool.lookup(hash, btx))
+ block.push_back(btx);
+ }
+ }
+ mpool.removeForBlock(block, ++blocknum, dummyConflicted);
+ block.clear();
+ }
+ for (int i = 1; i < 9; i++) {
+ BOOST_CHECK(mpool.estimateFee(i).GetFeePerK() < origFeeEst[i-1] - deltaFee);
+ BOOST_CHECK(mpool.estimatePriority(i) < origPriEst[i-1] - deltaPri);
+ }
+}
+
+BOOST_AUTO_TEST_SUITE_END()
diff --git a/src/txmempool.cpp b/src/txmempool.cpp
index 85ea3f77b5..53992b80da 100644
--- a/src/txmempool.cpp
+++ b/src/txmempool.cpp
@@ -7,28 +7,27 @@
#include "clientversion.h"
#include "main.h"
+#include "policy/fees.h"
#include "streams.h"
#include "util.h"
#include "utilmoneystr.h"
#include "version.h"
-#include <boost/circular_buffer.hpp>
-
using namespace std;
CTxMemPoolEntry::CTxMemPoolEntry():
- nFee(0), nTxSize(0), nModSize(0), nTime(0), dPriority(0.0)
+ nFee(0), nTxSize(0), nModSize(0), nTime(0), dPriority(0.0), hadNoDependencies(false)
{
nHeight = MEMPOOL_HEIGHT;
}
CTxMemPoolEntry::CTxMemPoolEntry(const CTransaction& _tx, const CAmount& _nFee,
int64_t _nTime, double _dPriority,
- unsigned int _nHeight):
- tx(_tx), nFee(_nFee), nTime(_nTime), dPriority(_dPriority), nHeight(_nHeight)
+ unsigned int _nHeight, bool poolHasNoInputsOf):
+ tx(_tx), nFee(_nFee), nTime(_nTime), dPriority(_dPriority), nHeight(_nHeight),
+ hadNoDependencies(poolHasNoInputsOf)
{
nTxSize = ::GetSerializeSize(tx, SER_NETWORK, PROTOCOL_VERSION);
-
nModSize = tx.CalculateModifiedSize(nTxSize);
}
@@ -46,346 +45,15 @@ CTxMemPoolEntry::GetPriority(unsigned int currentHeight) const
return dResult;
}
-/**
- * Keep track of fee/priority for transactions confirmed within N blocks
- */
-class CBlockAverage
-{
-private:
- boost::circular_buffer<CFeeRate> feeSamples;
- boost::circular_buffer<double> prioritySamples;
-
- template<typename T> std::vector<T> buf2vec(boost::circular_buffer<T> buf) const
- {
- std::vector<T> vec(buf.begin(), buf.end());
- return vec;
- }
-
-public:
- CBlockAverage() : feeSamples(100), prioritySamples(100) { }
-
- void RecordFee(const CFeeRate& feeRate) {
- feeSamples.push_back(feeRate);
- }
-
- void RecordPriority(double priority) {
- prioritySamples.push_back(priority);
- }
-
- size_t FeeSamples() const { return feeSamples.size(); }
- size_t GetFeeSamples(std::vector<CFeeRate>& insertInto) const
- {
- BOOST_FOREACH(const CFeeRate& f, feeSamples)
- insertInto.push_back(f);
- return feeSamples.size();
- }
- size_t PrioritySamples() const { return prioritySamples.size(); }
- size_t GetPrioritySamples(std::vector<double>& insertInto) const
- {
- BOOST_FOREACH(double d, prioritySamples)
- insertInto.push_back(d);
- return prioritySamples.size();
- }
-
- /**
- * Used as belt-and-suspenders check when reading to detect
- * file corruption
- */
- static bool AreSane(const CFeeRate fee, const CFeeRate& minRelayFee)
- {
- if (fee < CFeeRate(0))
- return false;
- if (fee.GetFeePerK() > minRelayFee.GetFeePerK() * 10000)
- return false;
- return true;
- }
- static bool AreSane(const std::vector<CFeeRate>& vecFee, const CFeeRate& minRelayFee)
- {
- BOOST_FOREACH(CFeeRate fee, vecFee)
- {
- if (!AreSane(fee, minRelayFee))
- return false;
- }
- return true;
- }
- static bool AreSane(const double priority)
- {
- return priority >= 0;
- }
- static bool AreSane(const std::vector<double> vecPriority)
- {
- BOOST_FOREACH(double priority, vecPriority)
- {
- if (!AreSane(priority))
- return false;
- }
- return true;
- }
-
- void Write(CAutoFile& fileout) const
- {
- std::vector<CFeeRate> vecFee = buf2vec(feeSamples);
- fileout << vecFee;
- std::vector<double> vecPriority = buf2vec(prioritySamples);
- fileout << vecPriority;
- }
-
- void Read(CAutoFile& filein, const CFeeRate& minRelayFee) {
- std::vector<CFeeRate> vecFee;
- filein >> vecFee;
- if (AreSane(vecFee, minRelayFee))
- feeSamples.insert(feeSamples.end(), vecFee.begin(), vecFee.end());
- else
- throw runtime_error("Corrupt fee value in estimates file.");
- std::vector<double> vecPriority;
- filein >> vecPriority;
- if (AreSane(vecPriority))
- prioritySamples.insert(prioritySamples.end(), vecPriority.begin(), vecPriority.end());
- else
- throw runtime_error("Corrupt priority value in estimates file.");
- if (feeSamples.size() + prioritySamples.size() > 0)
- LogPrint("estimatefee", "Read %d fee samples and %d priority samples\n",
- feeSamples.size(), prioritySamples.size());
- }
-};
-
-class CMinerPolicyEstimator
-{
-private:
- /**
- * Records observed averages transactions that confirmed within one block, two blocks,
- * three blocks etc.
- */
- std::vector<CBlockAverage> history;
- std::vector<CFeeRate> sortedFeeSamples;
- std::vector<double> sortedPrioritySamples;
-
- int nBestSeenHeight;
-
- /**
- * nBlocksAgo is 0 based, i.e. transactions that confirmed in the highest seen block are
- * nBlocksAgo == 0, transactions in the block before that are nBlocksAgo == 1 etc.
- */
- void seenTxConfirm(const CFeeRate& feeRate, const CFeeRate& minRelayFee, double dPriority, int nBlocksAgo)
- {
- // Last entry records "everything else".
- int nBlocksTruncated = min(nBlocksAgo, (int) history.size() - 1);
- assert(nBlocksTruncated >= 0);
-
- // We need to guess why the transaction was included in a block-- either
- // because it is high-priority or because it has sufficient fees.
- bool sufficientFee = (feeRate > minRelayFee);
- bool sufficientPriority = AllowFree(dPriority);
- const char* assignedTo = "unassigned";
- if (sufficientFee && !sufficientPriority && CBlockAverage::AreSane(feeRate, minRelayFee))
- {
- history[nBlocksTruncated].RecordFee(feeRate);
- assignedTo = "fee";
- }
- else if (sufficientPriority && !sufficientFee && CBlockAverage::AreSane(dPriority))
- {
- history[nBlocksTruncated].RecordPriority(dPriority);
- assignedTo = "priority";
- }
- else
- {
- // Neither or both fee and priority sufficient to get confirmed:
- // don't know why they got confirmed.
- }
- LogPrint("estimatefee", "Seen TX confirm: %s: %s fee/%g priority, took %d blocks\n",
- assignedTo, feeRate.ToString(), dPriority, nBlocksAgo);
- }
-
-public:
- CMinerPolicyEstimator(int nEntries) : nBestSeenHeight(0)
- {
- history.resize(nEntries);
- }
-
- void seenBlock(const std::vector<CTxMemPoolEntry>& entries, int nBlockHeight, const CFeeRate minRelayFee)
- {
- if (nBlockHeight <= nBestSeenHeight)
- {
- // Ignore side chains and re-orgs; assuming they are random
- // they don't affect the estimate.
- // And if an attacker can re-org the chain at will, then
- // you've got much bigger problems than "attacker can influence
- // transaction fees."
- return;
- }
- nBestSeenHeight = nBlockHeight;
-
- // Fill up the history buckets based on how long transactions took
- // to confirm.
- std::vector<std::vector<const CTxMemPoolEntry*> > entriesByConfirmations;
- entriesByConfirmations.resize(history.size());
- BOOST_FOREACH(const CTxMemPoolEntry& entry, entries)
- {
- // How many blocks did it take for miners to include this transaction?
- int delta = nBlockHeight - entry.GetHeight();
- if (delta <= 0)
- {
- // Re-org made us lose height, this should only happen if we happen
- // to re-org on a difficulty transition point: very rare!
- continue;
- }
- if ((delta-1) >= (int)history.size())
- delta = history.size(); // Last bucket is catch-all
- entriesByConfirmations.at(delta-1).push_back(&entry);
- }
- for (size_t i = 0; i < entriesByConfirmations.size(); i++)
- {
- std::vector<const CTxMemPoolEntry*> &e = entriesByConfirmations.at(i);
- // Insert at most 10 random entries per bucket, otherwise a single block
- // can dominate an estimate:
- if (e.size() > 10) {
- std::random_shuffle(e.begin(), e.end());
- e.resize(10);
- }
- BOOST_FOREACH(const CTxMemPoolEntry* entry, e)
- {
- // Fees are stored and reported as BTC-per-kb:
- CFeeRate feeRate(entry->GetFee(), entry->GetTxSize());
- double dPriority = entry->GetPriority(entry->GetHeight()); // Want priority when it went IN
- seenTxConfirm(feeRate, minRelayFee, dPriority, i);
- }
- }
-
- // After new samples are added, we have to clear the sorted lists,
- // so they'll be resorted the next time someone asks for an estimate
- sortedFeeSamples.clear();
- sortedPrioritySamples.clear();
-
- for (size_t i = 0; i < history.size(); i++) {
- if (history[i].FeeSamples() + history[i].PrioritySamples() > 0)
- LogPrint("estimatefee", "estimates: for confirming within %d blocks based on %d/%d samples, fee=%s, prio=%g\n",
- i,
- history[i].FeeSamples(), history[i].PrioritySamples(),
- estimateFee(i+1).ToString(), estimatePriority(i+1));
- }
- }
-
- /**
- * Can return CFeeRate(0) if we don't have any data for that many blocks back. nBlocksToConfirm is 1 based.
- */
- CFeeRate estimateFee(int nBlocksToConfirm)
- {
- nBlocksToConfirm--;
-
- if (nBlocksToConfirm < 0 || nBlocksToConfirm >= (int)history.size())
- return CFeeRate(0);
-
- if (sortedFeeSamples.size() == 0)
- {
- for (size_t i = 0; i < history.size(); i++)
- history.at(i).GetFeeSamples(sortedFeeSamples);
- std::sort(sortedFeeSamples.begin(), sortedFeeSamples.end(),
- std::greater<CFeeRate>());
- }
- if (sortedFeeSamples.size() < 11)
- {
- // Eleven is Gavin's Favorite Number
- // ... but we also take a maximum of 10 samples per block so eleven means
- // we're getting samples from at least two different blocks
- return CFeeRate(0);
- }
-
- int nBucketSize = history.at(nBlocksToConfirm).FeeSamples();
-
- // Estimates should not increase as number of confirmations goes up,
- // but the estimates are noisy because confirmations happen discretely
- // in blocks. To smooth out the estimates, use all samples in the history
- // and use the nth highest where n is (number of samples in previous bucket +
- // half the samples in nBlocksToConfirm bucket):
- size_t nPrevSize = 0;
- for (int i = 0; i < nBlocksToConfirm; i++)
- nPrevSize += history.at(i).FeeSamples();
- size_t index = min(nPrevSize + nBucketSize/2, sortedFeeSamples.size()-1);
- return sortedFeeSamples[index];
- }
- double estimatePriority(int nBlocksToConfirm)
- {
- nBlocksToConfirm--;
-
- if (nBlocksToConfirm < 0 || nBlocksToConfirm >= (int)history.size())
- return -1;
-
- if (sortedPrioritySamples.size() == 0)
- {
- for (size_t i = 0; i < history.size(); i++)
- history.at(i).GetPrioritySamples(sortedPrioritySamples);
- std::sort(sortedPrioritySamples.begin(), sortedPrioritySamples.end(),
- std::greater<double>());
- }
- if (sortedPrioritySamples.size() < 11)
- return -1.0;
-
- int nBucketSize = history.at(nBlocksToConfirm).PrioritySamples();
-
- // Estimates should not increase as number of confirmations needed goes up,
- // but the estimates are noisy because confirmations happen discretely
- // in blocks. To smooth out the estimates, use all samples in the history
- // and use the nth highest where n is (number of samples in previous buckets +
- // half the samples in nBlocksToConfirm bucket).
- size_t nPrevSize = 0;
- for (int i = 0; i < nBlocksToConfirm; i++)
- nPrevSize += history.at(i).PrioritySamples();
- size_t index = min(nPrevSize + nBucketSize/2, sortedPrioritySamples.size()-1);
- return sortedPrioritySamples[index];
- }
-
- void Write(CAutoFile& fileout) const
- {
- fileout << nBestSeenHeight;
- fileout << (uint32_t)history.size();
- BOOST_FOREACH(const CBlockAverage& entry, history)
- {
- entry.Write(fileout);
- }
- }
-
- void Read(CAutoFile& filein, const CFeeRate& minRelayFee)
- {
- int nFileBestSeenHeight;
- filein >> nFileBestSeenHeight;
- uint32_t numEntries;
- filein >> numEntries;
- if (numEntries <= 0 || numEntries > 10000)
- throw runtime_error("Corrupt estimates file. Must have between 1 and 10k entries.");
-
- std::vector<CBlockAverage> fileHistory;
-
- for (size_t i = 0; i < numEntries; i++)
- {
- CBlockAverage entry;
- entry.Read(filein, minRelayFee);
- fileHistory.push_back(entry);
- }
-
- // Now that we've processed the entire fee estimate data file and not
- // thrown any errors, we can copy it to our history
- nBestSeenHeight = nFileBestSeenHeight;
- history = fileHistory;
- assert(history.size() > 0);
- }
-};
-
-
CTxMemPool::CTxMemPool(const CFeeRate& _minRelayFee) :
- nTransactionsUpdated(0),
- minRelayFee(_minRelayFee)
+ nTransactionsUpdated(0)
{
// Sanity checks off by default for performance, because otherwise
// accepting transactions becomes O(N^2) where N is the number
// of transactions in the pool
fSanityCheck = false;
- // 25 blocks is a compromise between using a lot of disk/memory and
- // trying to give accurate estimates to people who might be willing
- // to wait a day or two to save a fraction of a penny in fees.
- // Confirmation times for very-low-fee transactions that take more
- // than an hour or three to confirm are highly variable.
- minerPolicyEstimator = new CMinerPolicyEstimator(25);
+ minerPolicyEstimator = new CBlockPolicyEstimator(_minRelayFee);
}
CTxMemPool::~CTxMemPool()
@@ -419,20 +87,20 @@ void CTxMemPool::AddTransactionsUpdated(unsigned int n)
}
-bool CTxMemPool::addUnchecked(const uint256& hash, const CTxMemPoolEntry &entry)
+bool CTxMemPool::addUnchecked(const uint256& hash, const CTxMemPoolEntry &entry, bool fCurrentEstimate)
{
// Add to memory pool without checking anything.
// Used by main.cpp AcceptToMemoryPool(), which DOES do
// all the appropriate checks.
LOCK(cs);
- {
- mapTx[hash] = entry;
- const CTransaction& tx = mapTx[hash].GetTx();
- for (unsigned int i = 0; i < tx.vin.size(); i++)
- mapNextTx[tx.vin[i].prevout] = CInPoint(&tx, i);
- nTransactionsUpdated++;
- totalTxSize += entry.GetTxSize();
- }
+ mapTx[hash] = entry;
+ const CTransaction& tx = mapTx[hash].GetTx();
+ for (unsigned int i = 0; i < tx.vin.size(); i++)
+ mapNextTx[tx.vin[i].prevout] = CInPoint(&tx, i);
+ nTransactionsUpdated++;
+ totalTxSize += entry.GetTxSize();
+ minerPolicyEstimator->processTransaction(entry, fCurrentEstimate);
+
return true;
}
@@ -478,6 +146,7 @@ void CTxMemPool::remove(const CTransaction &origTx, std::list<CTransaction>& rem
totalTxSize -= mapTx[hash].GetTxSize();
mapTx.erase(hash);
nTransactionsUpdated++;
+ minerPolicyEstimator->removeTx(hash);
}
}
}
@@ -528,7 +197,7 @@ void CTxMemPool::removeConflicts(const CTransaction &tx, std::list<CTransaction>
* Called when a block is connected. Removes from mempool and updates the miner fee estimator.
*/
void CTxMemPool::removeForBlock(const std::vector<CTransaction>& vtx, unsigned int nBlockHeight,
- std::list<CTransaction>& conflicts)
+ std::list<CTransaction>& conflicts, bool fCurrentEstimate)
{
LOCK(cs);
std::vector<CTxMemPoolEntry> entries;
@@ -538,7 +207,6 @@ void CTxMemPool::removeForBlock(const std::vector<CTransaction>& vtx, unsigned i
if (mapTx.count(hash))
entries.push_back(mapTx[hash]);
}
- minerPolicyEstimator->seenBlock(entries, nBlockHeight, minRelayFee);
BOOST_FOREACH(const CTransaction& tx, vtx)
{
std::list<CTransaction> dummy;
@@ -546,9 +214,10 @@ void CTxMemPool::removeForBlock(const std::vector<CTransaction>& vtx, unsigned i
removeConflicts(tx, conflicts);
ClearPrioritisation(tx.GetHash());
}
+ // After the txs in the new block have been removed from the mempool, update policy estimates
+ minerPolicyEstimator->processBlock(nBlockHeight, entries, fCurrentEstimate);
}
-
void CTxMemPool::clear()
{
LOCK(cs);
@@ -665,7 +334,7 @@ CTxMemPool::WriteFeeEstimates(CAutoFile& fileout) const
{
try {
LOCK(cs);
- fileout << 99900; // version required to read: 0.9.99 or later
+ fileout << 109900; // version required to read: 0.10.99 or later
fileout << CLIENT_VERSION; // version that wrote the file
minerPolicyEstimator->Write(fileout);
}
@@ -686,7 +355,7 @@ CTxMemPool::ReadFeeEstimates(CAutoFile& filein)
return error("CTxMemPool::ReadFeeEstimates(): up-version (%d) fee estimate file", nVersionRequired);
LOCK(cs);
- minerPolicyEstimator->Read(filein, minRelayFee);
+ minerPolicyEstimator->Read(filein);
}
catch (const std::exception&) {
LogPrintf("CTxMemPool::ReadFeeEstimates(): unable to read policy estimator data (non-fatal)");
@@ -723,6 +392,13 @@ void CTxMemPool::ClearPrioritisation(const uint256 hash)
mapDeltas.erase(hash);
}
+bool CTxMemPool::HasNoInputsOf(const CTransaction &tx) const
+{
+ for (unsigned int i = 0; i < tx.vin.size(); i++)
+ if (exists(tx.vin[i].prevout.hash))
+ return false;
+ return true;
+}
CCoinsViewMemPool::CCoinsViewMemPool(CCoinsView *baseIn, CTxMemPool &mempoolIn) : CCoinsViewBacked(baseIn), mempool(mempoolIn) { }
diff --git a/src/txmempool.h b/src/txmempool.h
index 0732af67e6..7271a5f603 100644
--- a/src/txmempool.h
+++ b/src/txmempool.h
@@ -43,10 +43,11 @@ private:
int64_t nTime; //! Local time when entering the mempool
double dPriority; //! Priority when entering the mempool
unsigned int nHeight; //! Chain height when entering the mempool
+ bool hadNoDependencies; //! Not dependent on any other txs when it entered the mempool
public:
CTxMemPoolEntry(const CTransaction& _tx, const CAmount& _nFee,
- int64_t _nTime, double _dPriority, unsigned int _nHeight);
+ int64_t _nTime, double _dPriority, unsigned int _nHeight, bool poolHasNoInputsOf = false);
CTxMemPoolEntry();
CTxMemPoolEntry(const CTxMemPoolEntry& other);
@@ -56,9 +57,10 @@ public:
size_t GetTxSize() const { return nTxSize; }
int64_t GetTime() const { return nTime; }
unsigned int GetHeight() const { return nHeight; }
+ bool WasClearAtEntry() const { return hadNoDependencies; }
};
-class CMinerPolicyEstimator;
+class CBlockPolicyEstimator;
/** An inpoint - a combination of a transaction and an index n into its vin */
class CInPoint
@@ -88,9 +90,8 @@ class CTxMemPool
private:
bool fSanityCheck; //! Normally false, true if -checkmempool or -regtest
unsigned int nTransactionsUpdated;
- CMinerPolicyEstimator* minerPolicyEstimator;
+ CBlockPolicyEstimator* minerPolicyEstimator;
- CFeeRate minRelayFee; //! Passed to constructor to avoid dependency on main
uint64_t totalTxSize; //! sum of all mempool tx' byte sizes
public:
@@ -111,17 +112,22 @@ public:
void check(const CCoinsViewCache *pcoins) const;
void setSanityCheck(bool _fSanityCheck) { fSanityCheck = _fSanityCheck; }
- bool addUnchecked(const uint256& hash, const CTxMemPoolEntry &entry);
+ bool addUnchecked(const uint256& hash, const CTxMemPoolEntry &entry, bool fCurrentEstimate = true);
void remove(const CTransaction &tx, std::list<CTransaction>& removed, bool fRecursive = false);
void removeCoinbaseSpends(const CCoinsViewCache *pcoins, unsigned int nMemPoolHeight);
void removeConflicts(const CTransaction &tx, std::list<CTransaction>& removed);
void removeForBlock(const std::vector<CTransaction>& vtx, unsigned int nBlockHeight,
- std::list<CTransaction>& conflicts);
+ std::list<CTransaction>& conflicts, bool fCurrentEstimate = true);
void clear();
void queryHashes(std::vector<uint256>& vtxid);
void pruneSpent(const uint256& hash, CCoins &coins);
unsigned int GetTransactionsUpdated() const;
void AddTransactionsUpdated(unsigned int n);
+ /**
+ * Check that none of this transactions inputs are in the mempool, and thus
+ * the tx is not dependent on other mempool transactions to be included in a block.
+ */
+ bool HasNoInputsOf(const CTransaction& tx) const;
/** Affect CreateNewBlock prioritisation of transactions */
void PrioritiseTransaction(const uint256 hash, const std::string strHash, double dPriorityDelta, const CAmount& nFeeDelta);
@@ -139,7 +145,7 @@ public:
return totalTxSize;
}
- bool exists(uint256 hash)
+ bool exists(uint256 hash) const
{
LOCK(cs);
return (mapTx.count(hash) != 0);