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rustdoc-search: better hashing, faster unification
The hash changes are based on some tests with `arti` and various specific queries, aimed at reducing the false positive rate. Sorting the query elements so that generics always come first is instead aimed at reducing the number of Map operations on mgens, assuming if the bloom filter does find a false positive, it'll be able to reject the row without having to track a mapping.
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src/librustdoc/html/static/js/search.js

+38-9
Original file line numberDiff line numberDiff line change
@@ -2268,8 +2268,27 @@ function initSearch(rawSearchIndex) {
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);
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}
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} else if (parsedQuery.foundElems > 0) {
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// Sort input and output so that generic type variables go first and
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// types with generic parameters go last.
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// That's because of the way unification is structured: it eats off
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// the end, and hits a fast path if the last item is a simple atom.
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const sortQ = (a, b) => {
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const ag = a.generics.length === 0 && a.bindings.size === 0;
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const bg = b.generics.length === 0 && b.bindings.size === 0;
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if (ag !== bg) {
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return ag - bg;
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}
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const ai = a.id > 0;
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const bi = b.id > 0;
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if (ai !== bi) {
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return ai - bi;
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}
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return 0;
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};
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parsedQuery.elems.sort(sortQ);
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parsedQuery.returned.sort(sortQ);
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for (i = 0, nSearchWords = searchWords.length; i < nSearchWords; ++i) {
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handleArgs(searchIndex[i], i, results_others);
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handleArgs(searchIndex[i], searchIndex[i].id, results_others);
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}
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}
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}
@@ -2841,15 +2860,25 @@ ${item.displayPath}<span class="${type}">${name}</span>\
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if (input === typeNameIdOfArray || input === typeNameIdOfSlice) {
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input = typeNameIdOfArrayOrSlice;
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}
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if (input !== null) {
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const fxScram = k => {
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// https://docs.rs/rustc-hash/1.1.0/src/rustc_hash/lib.rs.html#60
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// Rotate is skipped because we're only doing one cycle anyway.
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const h0 = Math.imul(input, 0x9e3779b9);
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const h1 = Math.imul(479001599 ^ input, 0x9e3779b9);
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const h2 = Math.imul(433494437 ^ input, 0x9e3779b9);
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output[0] |= 1 << (h0 % 32);
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output[1] |= 1 << (h1 % 32);
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output[2] |= 1 << (h2 % 32);
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return Math.imul((k << 5) | (k >> 27), 0x9e3779b9);
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};
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const murmurScram = k => {
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// https://en.wikipedia.org/wiki/MurmurHash
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k = Math.imul(k, 0xcc9e2d51);
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return Math.imul((k << 15) | (k >> 17), 0x1b873593);
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};
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if (input !== null) {
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const h0a = fxScram(input);
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const h0b = murmurScram(input);
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const h1a = fxScram(479001599 ^ input);
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const h1b = murmurScram(479001599 ^ input);
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const h2a = fxScram(433494437 ^ input);
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const h2b = murmurScram(433494437 ^ input);
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output[0] |= (1 << (h0a % 32)) | (1 << (h0b % 32));
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output[1] |= (1 << (h1a % 32)) | (1 << (h1b % 32));
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output[2] |= (1 << (h2a % 32)) | (1 << (h2b % 32));
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fps.add(input);
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}
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for (const g of type.generics) {

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