/* MIT License http://www.opensource.org/licenses/mit-license.php Author Tobias Koppers @sokra */ "use strict"; const { STAGE_ADVANCED } = require("../OptimizationStages"); const LazyBucketSortedSet = require("../util/LazyBucketSortedSet"); const { compareChunks } = require("../util/comparators"); const createSchemaValidation = require("../util/create-schema-validation"); /** @typedef {import("../../declarations/plugins/optimize/LimitChunkCountPlugin").LimitChunkCountPluginOptions} LimitChunkCountPluginOptions */ /** @typedef {import("../Chunk")} Chunk */ /** @typedef {import("../Compiler")} Compiler */ const validate = createSchemaValidation( require("../../schemas/plugins/optimize/LimitChunkCountPlugin.check.js"), () => require("../../schemas/plugins/optimize/LimitChunkCountPlugin.json"), { name: "Limit Chunk Count Plugin", baseDataPath: "options" } ); /** * @typedef {object} ChunkCombination * @property {boolean} deleted this is set to true when combination was removed * @property {number} sizeDiff * @property {number} integratedSize * @property {Chunk} a * @property {Chunk} b * @property {number} aIdx * @property {number} bIdx * @property {number} aSize * @property {number} bSize */ /** * @template K, V * @param {Map>} map map * @param {K} key key * @param {V} value value */ const addToSetMap = (map, key, value) => { const set = map.get(key); if (set === undefined) { map.set(key, new Set([value])); } else { set.add(value); } }; class LimitChunkCountPlugin { /** * @param {LimitChunkCountPluginOptions=} options options object */ constructor(options) { validate(options); this.options = options; } /** * @param {Compiler} compiler the webpack compiler * @returns {void} */ apply(compiler) { const options = this.options; compiler.hooks.compilation.tap("LimitChunkCountPlugin", compilation => { compilation.hooks.optimizeChunks.tap( { name: "LimitChunkCountPlugin", stage: STAGE_ADVANCED }, chunks => { const chunkGraph = compilation.chunkGraph; const maxChunks = /** @type {LimitChunkCountPluginOptions} */ (options).maxChunks; if (!maxChunks) return; if (maxChunks < 1) return; if (compilation.chunks.size <= maxChunks) return; let remainingChunksToMerge = compilation.chunks.size - maxChunks; // order chunks in a deterministic way const compareChunksWithGraph = compareChunks(chunkGraph); const orderedChunks = Array.from(chunks).sort(compareChunksWithGraph); // create a lazy sorted data structure to keep all combinations // this is large. Size = chunks * (chunks - 1) / 2 // It uses a multi layer bucket sort plus normal sort in the last layer // It's also lazy so only accessed buckets are sorted const combinations = new LazyBucketSortedSet( // Layer 1: ordered by largest size benefit c => c.sizeDiff, (a, b) => b - a, // Layer 2: ordered by smallest combined size /** * @param {ChunkCombination} c combination * @returns {number} integrated size */ c => c.integratedSize, (a, b) => a - b, // Layer 3: ordered by position difference in orderedChunk (-> to be deterministic) /** * @param {ChunkCombination} c combination * @returns {number} position difference */ c => c.bIdx - c.aIdx, (a, b) => a - b, // Layer 4: ordered by position in orderedChunk (-> to be deterministic) (a, b) => a.bIdx - b.bIdx ); // we keep a mapping from chunk to all combinations // but this mapping is not kept up-to-date with deletions // so `deleted` flag need to be considered when iterating this /** @type {Map>} */ const combinationsByChunk = new Map(); for (const [bIdx, b] of orderedChunks.entries()) { // create combination pairs with size and integrated size for (let aIdx = 0; aIdx < bIdx; aIdx++) { const a = orderedChunks[aIdx]; // filter pairs that can not be integrated! if (!chunkGraph.canChunksBeIntegrated(a, b)) continue; const integratedSize = chunkGraph.getIntegratedChunksSize( a, b, options ); const aSize = chunkGraph.getChunkSize(a, options); const bSize = chunkGraph.getChunkSize(b, options); const c = { deleted: false, sizeDiff: aSize + bSize - integratedSize, integratedSize, a, b, aIdx, bIdx, aSize, bSize }; combinations.add(c); addToSetMap(combinationsByChunk, a, c); addToSetMap(combinationsByChunk, b, c); } } // list of modified chunks during this run // combinations affected by this change are skipped to allow // further optimizations /** @type {Set} */ const modifiedChunks = new Set(); let changed = false; loop: while (true) { const combination = combinations.popFirst(); if (combination === undefined) break; combination.deleted = true; const { a, b, integratedSize } = combination; // skip over pair when // one of the already merged chunks is a parent of one of the chunks if (modifiedChunks.size > 0) { const queue = new Set(a.groupsIterable); for (const group of b.groupsIterable) { queue.add(group); } for (const group of queue) { for (const mChunk of modifiedChunks) { if (mChunk !== a && mChunk !== b && mChunk.isInGroup(group)) { // This is a potential pair which needs recalculation // We can't do that now, but it merge before following pairs // so we leave space for it, and consider chunks as modified // just for the worse case remainingChunksToMerge--; if (remainingChunksToMerge <= 0) break loop; modifiedChunks.add(a); modifiedChunks.add(b); continue loop; } } for (const parent of group.parentsIterable) { queue.add(parent); } } } // merge the chunks if (chunkGraph.canChunksBeIntegrated(a, b)) { chunkGraph.integrateChunks(a, b); compilation.chunks.delete(b); // flag chunk a as modified as further optimization are possible for all children here modifiedChunks.add(a); changed = true; remainingChunksToMerge--; if (remainingChunksToMerge <= 0) break; // Update all affected combinations // delete all combination with the removed chunk // we will use combinations with the kept chunk instead for (const combination of /** @type {Set} */ ( combinationsByChunk.get(a) )) { if (combination.deleted) continue; combination.deleted = true; combinations.delete(combination); } // Update combinations with the kept chunk with new sizes for (const combination of /** @type {Set} */ ( combinationsByChunk.get(b) )) { if (combination.deleted) continue; if (combination.a === b) { if (!chunkGraph.canChunksBeIntegrated(a, combination.b)) { combination.deleted = true; combinations.delete(combination); continue; } // Update size const newIntegratedSize = chunkGraph.getIntegratedChunksSize( a, combination.b, options ); const finishUpdate = combinations.startUpdate(combination); combination.a = a; combination.integratedSize = newIntegratedSize; combination.aSize = integratedSize; combination.sizeDiff = combination.bSize + integratedSize - newIntegratedSize; finishUpdate(); } else if (combination.b === b) { if (!chunkGraph.canChunksBeIntegrated(combination.a, a)) { combination.deleted = true; combinations.delete(combination); continue; } // Update size const newIntegratedSize = chunkGraph.getIntegratedChunksSize( combination.a, a, options ); const finishUpdate = combinations.startUpdate(combination); combination.b = a; combination.integratedSize = newIntegratedSize; combination.bSize = integratedSize; combination.sizeDiff = integratedSize + combination.aSize - newIntegratedSize; finishUpdate(); } } combinationsByChunk.set( a, /** @type {Set} */ ( combinationsByChunk.get(b) ) ); combinationsByChunk.delete(b); } } if (changed) return true; } ); }); } } module.exports = LimitChunkCountPlugin;