| // SPDX-License-Identifier: GPL-2.0-only | |
| /* | |
| * Copyright (C) 2024, SUSE LLC | |
| * | |
| * Authors: Enzo Matsumiya <ematsumiya@suse.de> | |
| * | |
| * This file implements I/O compression support for SMB2 messages (SMB 3.1.1 only). | |
| * See compress/ for implementation details of each algorithm. | |
| * | |
| * References: | |
| * MS-SMB2 "3.1.4.4 Compressing the Message" | |
| * MS-SMB2 "3.1.5.3 Decompressing the Chained Message" | |
| * MS-XCA - for details of the supported algorithms | |
| */ | |
| #include <linux/slab.h> | |
| #include <linux/kernel.h> | |
| #include <linux/uio.h> | |
| #include <linux/sort.h> | |
| #include "cifsglob.h" | |
| #include "../common/smb2pdu.h" | |
| #include "cifsproto.h" | |
| #include "smb2proto.h" | |
| #include "../common/compress/lz77.h" | |
| #include "compress.h" | |
| /* | |
| * The heuristic_*() functions below try to determine data compressibility. | |
| * | |
| * Derived from fs/btrfs/compression.c, changing coding style, some parameters, and removing | |
| * unused parts. | |
| * | |
| * Read that file for better and more detailed explanation of the calculations. | |
| * | |
| * The algorithms are ran in a collected sample of the input (uncompressed) data. | |
| * The sample is formed of 2K reads in PAGE_SIZE intervals, with a maximum size of 4M. | |
| * | |
| * Parsing the sample goes from "low-hanging fruits" (fastest algorithms, likely compressible) | |
| * to "need more analysis" (likely uncompressible). | |
| */ | |
| struct bucket { | |
| unsigned int count; | |
| }; | |
| static inline size_t pow4(size_t n) | |
| { | |
| return n * n * n * n; | |
| } | |
| /* | |
| * has_low_entropy() - Compute Shannon entropy of the sampled data. | |
| * @bkt: Bytes counts of the sample. | |
| * @slen: Size of the sample. | |
| * | |
| * Return: true if the level (percentage of number of bits that would be required to | |
| * compress the data) is below the minimum threshold. | |
| * | |
| * Note: | |
| * There _is_ an entropy level here that's > 65 (minimum threshold) that would indicate a | |
| * possibility of compression, but compressing, or even further analysing, it would waste so much | |
| * resources that it's simply not worth it. | |
| * | |
| * Also Shannon entropy is the last computed heuristic; if we got this far and ended up | |
| * with uncertainty, just stay on the safe side and call it uncompressible. | |
| */ | |
| static bool has_low_entropy(struct bucket *bkt, size_t slen) | |
| { | |
| const size_t threshold = 65, max_entropy = 8 * ilog2(16); | |
| size_t i, p, p2, len, sum = 0; | |
| len = ilog2(pow4(slen)); | |
| for (i = 0; i < 256 && bkt[i].count > 0; i++) { | |
| p = bkt[i].count; | |
| p2 = ilog2(pow4(p)); | |
| sum += p * (len - p2); | |
| } | |
| sum /= slen; | |
| return ((sum * 100 / max_entropy) <= threshold); | |
| } | |
| #define BYTE_DIST_BAD 0 | |
| #define BYTE_DIST_GOOD 1 | |
| #define BYTE_DIST_MAYBE 2 | |
| /* | |
| * calc_byte_distribution() - Compute byte distribution on the sampled data. | |
| * @bkt: Byte counts of the sample. | |
| * @slen: Size of the sample. | |
| * | |
| * Return: | |
| * BYTE_DIST_BAD: A "hard no" for compression -- a computed uniform distribution of | |
| * the bytes (e.g. random or encrypted data). | |
| * BYTE_DIST_GOOD: High probability (normal (Gaussian) distribution) of the data being | |
| * compressible. | |
| * BYTE_DIST_MAYBE: When computed byte distribution resulted in "low > n < high" | |
| * grounds. has_low_entropy() should be used for a final decision. | |
| */ | |
| static int calc_byte_distribution(struct bucket *bkt, size_t slen) | |
| { | |
| const size_t low = 64, high = 200, threshold = slen * 90 / 100; | |
| size_t sum = 0; | |
| int i; | |
| for (i = 0; i < low; i++) | |
| sum += bkt[i].count; | |
| if (sum > threshold) | |
| return BYTE_DIST_BAD; | |
| for (; i < high && bkt[i].count > 0; i++) { | |
| sum += bkt[i].count; | |
| if (sum > threshold) | |
| break; | |
| } | |
| if (i <= low) | |
| return BYTE_DIST_GOOD; | |
| if (i >= high) | |
| return BYTE_DIST_BAD; | |
| return BYTE_DIST_MAYBE; | |
| } | |
| static bool is_mostly_ascii(const struct bucket *bkt) | |
| { | |
| size_t count = 0; | |
| int i; | |
| for (i = 0; i < 256; i++) | |
| if (bkt[i].count > 0) | |
| /* Too many non-ASCII (0-63) bytes. */ | |
| if (++count > 64) | |
| return false; | |
| return true; | |
| } | |
| static bool has_repeated_data(const u8 *sample, size_t len) | |
| { | |
| size_t s = len / 2; | |
| return (!memcmp(&sample[0], &sample[s], s)); | |
| } | |
| static int cmp_bkt(const void *_a, const void *_b) | |
| { | |
| const struct bucket *a = _a, *b = _b; | |
| /* Reverse sort. */ | |
| if (a->count > b->count) | |
| return -1; | |
| return 1; | |
| } | |
| /* | |
| * Collect some 2K samples with 2K gaps between. | |
| */ | |
| static int collect_sample(const struct iov_iter *source, ssize_t max, u8 *sample) | |
| { | |
| struct iov_iter iter = *source; | |
| size_t s = 0; | |
| while (iov_iter_count(&iter) >= SZ_2K) { | |
| size_t part = umin(umin(iov_iter_count(&iter), SZ_2K), max); | |
| size_t n; | |
| n = copy_from_iter(sample + s, part, &iter); | |
| if (n != part) | |
| return -EFAULT; | |
| s += n; | |
| max -= n; | |
| if (iov_iter_count(&iter) < PAGE_SIZE - SZ_2K) | |
| break; | |
| iov_iter_advance(&iter, SZ_2K); | |
| } | |
| return s; | |
| } | |
| /* | |
| * is_compressible() - Determines if a chunk of data is compressible. | |
| * @data: Iterator containing uncompressed data. | |
| * | |
| * Return: true if @data is compressible, false otherwise. | |
| * | |
| * Tests shows that this function is quite reliable in predicting data compressibility, | |
| * matching close to 1:1 with the behaviour of LZ77 compression success and failures. | |
| */ | |
| static bool is_compressible(const struct iov_iter *data) | |
| { | |
| const size_t read_size = SZ_2K, bkt_size = 256, max = SZ_4M; | |
| struct bucket *bkt = NULL; | |
| size_t len; | |
| u8 *sample; | |
| bool ret = false; | |
| int i; | |
| /* Preventive double check -- already checked in should_compress(). */ | |
| len = iov_iter_count(data); | |
| if (unlikely(len < read_size)) | |
| return ret; | |
| if (len - read_size > max) | |
| len = max; | |
| sample = kvzalloc(len, GFP_KERNEL); | |
| if (!sample) { | |
| WARN_ON_ONCE(1); | |
| return ret; | |
| } | |
| /* Sample 2K bytes per page of the uncompressed data. */ | |
| i = collect_sample(data, len, sample); | |
| if (i <= 0) { | |
| WARN_ON_ONCE(1); | |
| goto out; | |
| } | |
| len = i; | |
| ret = true; | |
| if (has_repeated_data(sample, len)) | |
| goto out; | |
| bkt = kzalloc_objs(*bkt, bkt_size); | |
| if (!bkt) { | |
| WARN_ON_ONCE(1); | |
| ret = false; | |
| goto out; | |
| } | |
| for (i = 0; i < len; i++) | |
| bkt[sample[i]].count++; | |
| if (is_mostly_ascii(bkt)) | |
| goto out; | |
| /* Sort in descending order */ | |
| sort(bkt, bkt_size, sizeof(*bkt), cmp_bkt, NULL); | |
| i = calc_byte_distribution(bkt, len); | |
| if (i != BYTE_DIST_MAYBE) { | |
| ret = !!i; | |
| goto out; | |
| } | |
| ret = has_low_entropy(bkt, len); | |
| out: | |
| kvfree(sample); | |
| kfree(bkt); | |
| return ret; | |
| } | |
| /* | |
| * should_compress() - Determines if a request (write) or the response to a | |
| * request (read) should be compressed. | |
| * @tcon: tcon of the request is being sent to | |
| * @rqst: request to evaluate | |
| * | |
| * Return: true iff: | |
| * - compression was successfully negotiated with server | |
| * - server has enabled compression for the share | |
| * - it's a read or write request | |
| * - (write only) request length is >= SMB_COMPRESS_MIN_LEN | |
| * - (write only) is_compressible() returns 1 | |
| * | |
| * Return false otherwise. | |
| */ | |
| bool should_compress(const struct cifs_tcon *tcon, const struct smb_rqst *rq) | |
| { | |
| const struct smb2_hdr *shdr = rq->rq_iov->iov_base; | |
| if (unlikely(!tcon || !tcon->ses || !tcon->ses->server)) | |
| return false; | |
| if (!tcon->ses->server->compression.enabled) | |
| return false; | |
| if (!(tcon->share_flags & SMB2_SHAREFLAG_COMPRESS_DATA)) | |
| return false; | |
| if (shdr->Command == SMB2_WRITE) { | |
| const struct smb2_write_req *wreq = rq->rq_iov->iov_base; | |
| if (le32_to_cpu(wreq->Length) < SMB_COMPRESS_MIN_LEN) | |
| return false; | |
| return is_compressible(&rq->rq_iter); | |
| } | |
| return (shdr->Command == SMB2_READ); | |
| } | |
| int smb_compress(struct TCP_Server_Info *server, struct smb_rqst *rq, compress_send_fn send_fn) | |
| { | |
| struct iov_iter iter; | |
| u32 slen, dlen; | |
| void *src, *dst = NULL; | |
| int ret; | |
| if (!server || !rq || !rq->rq_iov || !rq->rq_iov->iov_base) | |
| return -EINVAL; | |
| if (rq->rq_iov->iov_len != sizeof(struct smb2_write_req)) | |
| return -EINVAL; | |
| slen = iov_iter_count(&rq->rq_iter); | |
| src = kvzalloc(slen, GFP_KERNEL); | |
| if (!src) { | |
| ret = -ENOMEM; | |
| goto err_free; | |
| } | |
| /* Keep the original iter intact. */ | |
| iter = rq->rq_iter; | |
| if (!copy_from_iter_full(src, slen, &iter)) { | |
| ret = smb_EIO(smb_eio_trace_compress_copy); | |
| goto err_free; | |
| } | |
| dlen = smb_lz77_compressed_alloc_size(slen); | |
| dst = kvzalloc(dlen, GFP_KERNEL); | |
| if (!dst) { | |
| ret = -ENOMEM; | |
| goto err_free; | |
| } | |
| ret = smb_lz77_compress(src, slen, dst, &dlen); | |
| if (!ret) { | |
| struct smb2_compression_hdr hdr = { 0 }; | |
| struct smb_rqst comp_rq = { .rq_nvec = 3, }; | |
| struct kvec iov[3]; | |
| hdr.ProtocolId = SMB2_COMPRESSION_TRANSFORM_ID; | |
| hdr.OriginalCompressedSegmentSize = cpu_to_le32(slen); | |
| hdr.CompressionAlgorithm = SMB3_COMPRESS_LZ77; | |
| hdr.Flags = SMB2_COMPRESSION_FLAG_NONE; | |
| hdr.Offset = cpu_to_le32(rq->rq_iov[0].iov_len); | |
| iov[0].iov_base = &hdr; | |
| iov[0].iov_len = sizeof(hdr); | |
| iov[1] = rq->rq_iov[0]; | |
| iov[2].iov_base = dst; | |
| iov[2].iov_len = dlen; | |
| comp_rq.rq_iov = iov; | |
| ret = send_fn(server, 1, &comp_rq); | |
| } else if (ret == -EMSGSIZE || dlen >= slen) { | |
| ret = send_fn(server, 1, rq); | |
| } | |
| err_free: | |
| kvfree(dst); | |
| kvfree(src); | |
| return ret; | |
| } |