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perf: introduce CacheTable strcture, use it for shaper cache
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135
src/cache_table.zig
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135
src/cache_table.zig
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const fastmem = @import("./fastmem.zig");
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const std = @import("std");
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const assert = std.debug.assert;
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/// An associative data structure used for efficiently storing and
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/// retrieving values which are able to be recomputed if necessary.
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///
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/// This structure is effectively a hash table with fixed-sized buckets.
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///
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/// When inserting an item in to a full bucket, the least recently used
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/// item is replaced.
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///
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/// To achieve this, when an item is accessed, it's moved to the end of
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/// the bucket, and the rest of the items are moved over to fill the gap.
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///
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/// This should provide very good query performance and keep frequently
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/// accessed items cached indefinitely.
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///
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/// Parameters:
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///
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/// `Context`
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/// A type containing methods to define CacheTable behaviors.
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/// - `fn hash(*Context, K) u64` - Return a hash for a key.
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/// - `fn eql(*Context, K, K) bool` - Check two keys for equality.
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///
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/// - `fn evicted(*Context, K, V) void` - [OPTIONAL] Eviction callback.
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/// If present, called whenever an item is evicted from the cache.
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///
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/// `bucket_count`
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/// Should ideally be close to the median number of important items that
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/// you expect to be cached at any given point.
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///
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/// Performance will suffer if this is not a power of 2.
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///
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/// `bucket_size`
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/// should be larger if you expect a large number of unimportant items to
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/// enter the cache at a time. Having larger buckets will avoid important
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/// items being dropped from the cache prematurely.
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///
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pub fn CacheTable(
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comptime K: type,
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comptime V: type,
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comptime Context: type,
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comptime bucket_count: usize,
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comptime bucket_size: u8,
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) type {
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return struct {
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const Self = CacheTable(K, V, Context, bucket_count, bucket_size);
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const KV = struct {
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key: K,
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value: V,
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};
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/// `bucket_count` buckets containing `bucket_size` KV pairs each.
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///
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/// We don't need to initialize this memory because we don't use it
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/// unless it's within a bucket's stored length, which will guarantee
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/// that we put actual items there.
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buckets: [bucket_count][bucket_size]KV = undefined,
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/// We use this array to keep track of how many slots in each bucket
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/// have actual items in them. Once all the buckets fill up this will
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/// become a pointless check, but hopefully branch prediction picks
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/// up on it at that point. The memory cost isn't too bad since it's
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/// just bytes, so should be a fraction the size of the main table.
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lengths: [bucket_count]u8 = [_]u8{0} ** bucket_count,
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/// An instance of the context structure.
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/// Must be initialized before calling any operations.
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context: Context,
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/// Adds an item to the cache table. If an old value was removed to
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/// make room then it is returned in a struct with its key and value.
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pub fn put(self: *Self, key: K, value: V) ?KV {
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const idx: u64 = self.context.hash(key) % bucket_count;
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const kv = .{
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.key = key,
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.value = value,
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};
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if (self.lengths[idx] < bucket_size) {
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self.buckets[idx][self.lengths[idx]] = kv;
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self.lengths[idx] += 1;
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return null;
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}
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assert(self.lengths[idx] == bucket_size);
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const evicted = fastmem.rotateIn(KV, &self.buckets[idx], kv);
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if (comptime @hasDecl(Context, "evicted")) {
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self.context.evicted(evicted.key, evicted.value);
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}
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return evicted;
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}
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/// Retrieves an item from the cache table.
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///
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/// Returns null if no item is found with the provided key.
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pub fn get(self: *Self, key: K) ?V {
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const idx = self.context.hash(key) % bucket_count;
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const len = self.lengths[idx];
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var i: usize = len;
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while (i > 0) {
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i -= 1;
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if (self.context.eql(key, self.buckets[idx][i].key)) {
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defer fastmem.rotateOnce(KV, self.buckets[idx][i..len]);
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return self.buckets[idx][i].value;
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}
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}
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return null;
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}
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/// Removes all items from the cache table.
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///
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/// If your `Context` has an `evicted` method,
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/// it will be called with all removed items.
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pub fn clear(self: *Self) void {
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if (comptime @hasDecl(Context, "evicted")) {
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for (self.buckets, self.lengths) |b, l| {
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for (b[0..l]) |kv| {
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self.context.evicted(kv.key, kv.value);
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}
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}
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}
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@memset(&self.lengths, 0);
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}
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};
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}
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