openethereum/src/chainfilter.rs

394 lines
11 KiB
Rust

//! basic implementation of multilevel bloom filter
use std::collections::{HashMap};
use hash::*;
use filter::*;
use sha3::*;
use num::pow;
/// in memory cache for blooms
pub struct MemoryCache {
blooms: HashMap<BloomIndex, H2048>,
}
impl MemoryCache {
pub fn new() -> MemoryCache {
MemoryCache { blooms: HashMap::new() }
}
/// inserts all blooms into cache
///
/// if bloom at given index already exists, overwrites it
pub fn insert_blooms(&mut self, blooms: HashMap<BloomIndex, H2048>) {
self.blooms.extend(blooms);
}
}
impl FilterDataSource for MemoryCache {
fn bloom_at_index(&self, index: &BloomIndex) -> Option<&H2048> {
self.blooms.get(index)
}
}
/// Should be used to find blocks in FilterDataSource
pub struct ChainFilter<'a, D>
where D: FilterDataSource + 'a
{
data_source: &'a D,
index_size: usize,
level_sizes: Vec<usize>,
}
impl<'a, D> ChainFilter<'a, D> where D: FilterDataSource
{
/// creates new filter instance
pub fn new(data_source: &'a D, index_size: usize, levels: u8) -> Self {
if levels == 0 {
panic!("ChainFilter requires and least 1 level");
}
let mut filter = ChainFilter {
data_source: data_source,
index_size: index_size,
level_sizes: vec![]
};
// cache level sizes, so we do not have to calculate them all the time
for i in 0..levels {
filter.level_sizes.push(pow(index_size, i as usize));
}
filter
}
/// unsafely get level size
fn level_size(&self, level: u8) -> usize {
self.level_sizes[level as usize]
}
/// converts block number and level to `BloomIndex`
fn bloom_index(&self, block_number: usize, level: u8) -> BloomIndex {
BloomIndex {
level: level,
index: block_number / self.level_size(level),
}
}
/// return bloom which are dependencies for given index
///
/// bloom indexes are ordered from lowest to highest
fn lower_level_bloom_indexes(&self, index: &BloomIndex) -> Vec<BloomIndex> {
let mut indexes: Vec<BloomIndex> = vec![];
// this is the lower level
if index.level == 0 {
return indexes;
}
let new_level = index.level - 1;
let offset = self.index_size * index.index;
for i in 0..self.index_size {
indexes.push(BloomIndex {
level: new_level,
index: offset + i,
});
}
indexes
}
/// return number of levels
fn levels(&self) -> u8 {
self.level_sizes.len() as u8
}
/// returns max filter level
fn max_level(&self) -> u8 {
self.level_sizes.len() as u8 - 1
}
/// internal function which actually does bloom search
/// TODO: optimize it, maybe non-recursive version?
/// TODO: clean up?
fn blocks(&self, bloom: &H2048, from_block: usize, to_block: usize, level: u8, offset: usize) -> Vec<usize> {
let index = self.bloom_index(offset, level);
let contains = match self.data_source.bloom_at_index(&index) {
None => false,
Some(level_bloom) => match level {
// if we are on the lowest level
// take the value, exclude to_block
0 if offset < to_block => return vec![offset],
0 => false,
_ => level_bloom.contains(bloom)
}
};
if contains {
let level_size = self.level_size(level - 1);
let from_index = self.bloom_index(from_block, level - 1);
let to_index = self.bloom_index(to_block, level - 1);
let res: Vec<usize> = self.lower_level_bloom_indexes(&index).into_iter()
// chose only blooms in range
.filter(|li| li.index >= from_index.index && li.index <= to_index.index)
// map them to offsets
.map(|li| li.index * level_size)
// get all blocks that may contain our bloom
.map(|off| self.blocks(bloom, from_block, to_block, level - 1, off))
// flatten nested structure
.flat_map(|v| v)
.collect();
return res
}
return vec![];
}
}
impl<'a, D> Filter for ChainFilter<'a, D> where D: FilterDataSource
{
/// add new bloom to all levels
///
/// BitOr new bloom with all levels of filter
fn add_bloom(&self, bloom: &H2048, block_number: usize) -> HashMap<BloomIndex, H2048> {
let mut result: HashMap<BloomIndex, H2048> = HashMap::new();
for level in 0..self.levels() {
let bloom_index = self.bloom_index(block_number, level);
let new_bloom = match self.data_source.bloom_at_index(&bloom_index) {
Some(old_bloom) => old_bloom | bloom,
None => bloom.clone(),
};
result.insert(bloom_index, new_bloom);
}
result
}
/// add new blooms starting from block number
///
/// BitOr new blooms with all levels of filter
fn add_blooms(&self, blooms: &[H2048], block_number: usize) -> HashMap<BloomIndex, H2048> {
let mut result: HashMap<BloomIndex, H2048> = HashMap::new();
for level in 0..self.levels() {
for i in 0..blooms.len() {
let bloom_index = self.bloom_index(block_number + i, level);
let is_new_bloom = match result.get_mut(&bloom_index) {
// it was already modified
Some(to_shift) => {
*to_shift = &blooms[i] | to_shift;
false
}
None => true,
};
// it hasn't been modified yet
if is_new_bloom {
let new_bloom = match self.data_source.bloom_at_index(&bloom_index) {
Some(old_bloom) => old_bloom | &blooms[i],
None => blooms[i].clone(),
};
result.insert(bloom_index, new_bloom);
}
}
}
result
}
/// reset bloom at level 0 and forces rebuild on higher levels
fn reset_bloom(&self, bloom: &H2048, block_number: usize) -> HashMap<BloomIndex, H2048> {
let mut result: HashMap<BloomIndex, H2048> = HashMap::new();
let mut reset_index = self.bloom_index(block_number, 0);
result.insert(reset_index.clone(), bloom.clone());
for level in 1..self.levels() {
let index = self.bloom_index(block_number, level);
// get all bloom indexes that were used to construct this bloom
let lower_indexes = self.lower_level_bloom_indexes(&index);
let new_bloom = lower_indexes.into_iter()
// skip reseted one
.filter(|li| li != &reset_index)
// get blooms for these indexes
.map(|li| self.data_source.bloom_at_index(&li))
// filter existing ones
.filter_map(|b| b)
// BitOr all of them
.fold(H2048::new(), |acc, bloom| &acc | bloom);
reset_index = index.clone();
result.insert(index, &new_bloom | bloom);
}
result
}
/// sets lowest level bloom to 0 and forces rebuild on higher levels
fn clear_bloom(&self, block_number: usize) -> HashMap<BloomIndex, H2048> {
self.reset_bloom(&H2048::new(), block_number)
}
/// returns numbers of blocks that may contain Address
fn blocks_with_address(&self,
address: &Address,
from_block: usize,
to_block: usize)
-> Vec<usize> {
let mut bloom = H2048::new();
bloom.shift_bloom(&address.sha3());
self.blocks_with_bloom(&bloom, from_block, to_block)
}
/// returns numbers of blocks that may contain Topic
fn blocks_with_topics(&self, topic: &H256, from_block: usize, to_block: usize) -> Vec<usize> {
let mut bloom = H2048::new();
bloom.shift_bloom(&topic.sha3());
self.blocks_with_bloom(&bloom, from_block, to_block)
}
/// returns numbers of blocks that may log bloom
fn blocks_with_bloom(&self, bloom: &H2048, from_block: usize, to_block: usize) -> Vec<usize> {
let mut result = vec![];
// lets start from highest level
let max_level = self.max_level();
let level_size = self.level_size(max_level);
let from_index = self.bloom_index(from_block, max_level);
let to_index = self.bloom_index(to_block, max_level);
for index in from_index.index..to_index.index + 1 {
// offset will be used to calculate where we are right now
let offset = level_size * index;
// go doooown!
result.extend(self.blocks(bloom, from_block, to_block, max_level, offset));
}
result
}
}
#[cfg(test)]
mod tests {
use hash::*;
use filter::*;
use chainfilter::*;
use sha3::*;
use std::str::FromStr;
#[test]
fn test_level_size() {
let cache = MemoryCache::new();
let filter = ChainFilter::new(&cache, 16, 3);
assert_eq!(filter.level_size(0), 1);
assert_eq!(filter.level_size(1), 16);
assert_eq!(filter.level_size(2), 256);
}
#[test]
fn test_bloom_index() {
let cache = MemoryCache::new();
let filter = ChainFilter::new(&cache, 16, 3);
let bi0 = filter.bloom_index(0, 0);
assert_eq!(bi0.level, 0);
assert_eq!(bi0.index, 0);
let bi1 = filter.bloom_index(1, 0);
assert_eq!(bi1.level, 0);
assert_eq!(bi1.index, 1);
let bi2 = filter.bloom_index(2, 0);
assert_eq!(bi2.level, 0);
assert_eq!(bi2.index, 2);
let bi3 = filter.bloom_index(3, 1);
assert_eq!(bi3.level, 1);
assert_eq!(bi3.index, 0);
let bi4 = filter.bloom_index(15, 1);
assert_eq!(bi4.level, 1);
assert_eq!(bi4.index, 0);
let bi5 = filter.bloom_index(16, 1);
assert_eq!(bi5.level, 1);
assert_eq!(bi5.index, 1);
let bi6 = filter.bloom_index(255, 2);
assert_eq!(bi6.level, 2);
assert_eq!(bi6.index, 0);
let bi7 = filter.bloom_index(256, 2);
assert_eq!(bi7.level, 2);
assert_eq!(bi7.index, 1);
}
#[test]
fn test_lower_level_bloom_indexes() {
let cache = MemoryCache::new();
let filter = ChainFilter::new(&cache, 16, 3);
let bi = filter.bloom_index(256, 2);
assert_eq!(bi.level, 2);
assert_eq!(bi.index, 1);
let mut ebis = vec![];
for i in 16..32 {
ebis.push(BloomIndex::new(1, i));
}
let bis = filter.lower_level_bloom_indexes(&bi);
assert_eq!(ebis, bis);
}
#[test]
fn test_topic_basic_search() {
let index_size = 16;
let bloom_levels = 3;
let mut cache = MemoryCache::new();
let topic = H256::from_str("8d936b1bd3fc635710969ccfba471fb17d598d9d1971b538dd712e1e4b4f4dba").unwrap();
let modified_blooms = {
let filter = ChainFilter::new(&cache, index_size, bloom_levels);
let block_number = 23;
let mut bloom = H2048::new();
bloom.shift_bloom(&topic.sha3());
filter.add_bloom(&bloom, block_number)
};
// number of modified blooms should always be equal number of levels
assert_eq!(modified_blooms.len(), bloom_levels as usize);
cache.insert_blooms(modified_blooms);
{
let filter = ChainFilter::new(&cache, index_size, bloom_levels);
let blocks = filter.blocks_with_topics(&topic, 0, 100);
assert_eq!(blocks.len(), 1);
assert_eq!(blocks[0], 23);
}
{
let filter = ChainFilter::new(&cache, index_size, bloom_levels);
let blocks = filter.blocks_with_topics(&topic, 0, 23);
assert_eq!(blocks.len(), 0);
}
{
let filter = ChainFilter::new(&cache, index_size, bloom_levels);
let blocks = filter.blocks_with_topics(&topic, 23, 24);
assert_eq!(blocks.len(), 1);
assert_eq!(blocks[0], 23);
}
{
let filter = ChainFilter::new(&cache, index_size, bloom_levels);
let blocks = filter.blocks_with_topics(&topic, 24, 100);
assert_eq!(blocks.len(), 0);
}
}
}