571 lines
16 KiB
C
571 lines
16 KiB
C
/*
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* Copyright (C) Internet Systems Consortium, Inc. ("ISC")
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*
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* SPDX-License-Identifier: MPL-2.0
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*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, you can obtain one at https://mozilla.org/MPL/2.0/.
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*
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* See the COPYRIGHT file distributed with this work for additional
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* information regarding copyright ownership.
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*/
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#include <assert.h>
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#include <errno.h>
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#include <math.h>
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#include <stdbool.h>
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#include <stdint.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <isc/atomic.h>
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#include <isc/histo.h>
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#include <isc/magic.h>
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#include <isc/mem.h>
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#include <isc/tid.h>
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#define HISTO_MAGIC ISC_MAGIC('H', 's', 't', 'o')
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#define HISTO_VALID(p) ISC_MAGIC_VALID(p, HISTO_MAGIC)
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#define HISTOMULTI_MAGIC ISC_MAGIC('H', 'g', 'M', 't')
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#define HISTOMULTI_VALID(p) ISC_MAGIC_VALID(p, HISTOMULTI_MAGIC)
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/*
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* Natural logarithms of 2 and 10 for converting precisions between
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* binary and decimal significant figures
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*/
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#define LN_2 0.693147180559945309
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#define LN_10 2.302585092994045684
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/*
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* The chunks array has a static size for simplicity, fixed as the
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* number of bits in a value. That means we waste a little extra space
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* that could be saved by omitting the exponents that are covered by
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* `sigbits`. The following macros calculate (at run time) the exact
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* number of buckets when we need to do accurate bounds checks.
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*
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* For a discussion of the floating point terminology, see the
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* commmentary on `value_to_key()` below.
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*
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* We often use the variable names `c` for chunk and `b` for bucket.
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*/
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#define CHUNKS 64
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#define DENORMALS(hg) ((hg)->sigbits - 1)
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#define MANTISSAS(hg) (1 << (hg)->sigbits)
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#define EXPONENTS(hg) (CHUNKS - DENORMALS(hg))
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#define BUCKETS(hg) (EXPONENTS(hg) * MANTISSAS(hg))
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#define MAXCHUNK(hg) EXPONENTS(hg)
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#define CHUNKSIZE(hg) MANTISSAS(hg)
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typedef atomic_uint_fast64_t hg_bucket_t;
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typedef atomic_ptr(hg_bucket_t) hg_chunk_t;
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struct isc_histo {
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uint magic;
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uint sigbits;
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isc_mem_t *mctx;
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hg_chunk_t chunk[CHUNKS];
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};
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struct isc_histomulti {
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uint magic;
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uint size;
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isc_histo_t *hg[];
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};
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/**********************************************************************/
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void
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isc_histo_create(isc_mem_t *mctx, uint sigbits, isc_histo_t **hgp) {
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REQUIRE(sigbits >= ISC_HISTO_MINBITS);
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REQUIRE(sigbits <= ISC_HISTO_MAXBITS);
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REQUIRE(hgp != NULL);
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REQUIRE(*hgp == NULL);
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isc_histo_t *hg = isc_mem_get(mctx, sizeof(*hg));
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*hg = (isc_histo_t){
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.magic = HISTO_MAGIC,
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.sigbits = sigbits,
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};
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isc_mem_attach(mctx, &hg->mctx);
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*hgp = hg;
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}
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void
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isc_histo_destroy(isc_histo_t **hgp) {
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REQUIRE(hgp != NULL);
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REQUIRE(HISTO_VALID(*hgp));
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isc_histo_t *hg = *hgp;
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*hgp = NULL;
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for (uint c = 0; c < CHUNKS; c++) {
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if (hg->chunk[c] != NULL) {
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isc_mem_cput(hg->mctx, hg->chunk[c], CHUNKSIZE(hg),
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sizeof(hg_bucket_t));
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}
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}
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isc_mem_putanddetach(&hg->mctx, hg, sizeof(*hg));
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}
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/**********************************************************************/
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uint
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isc_histo_sigbits(isc_histo_t *hg) {
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REQUIRE(HISTO_VALID(hg));
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return hg->sigbits;
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}
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/*
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* use precomputed logs and builtins to avoid linking with libm
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*/
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uint
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isc_histo_bits_to_digits(uint bits) {
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REQUIRE(bits >= ISC_HISTO_MINBITS);
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REQUIRE(bits <= ISC_HISTO_MAXBITS);
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return floor(1.0 - (1.0 - bits) * LN_2 / LN_10);
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}
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uint
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isc_histo_digits_to_bits(uint digits) {
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REQUIRE(digits >= ISC_HISTO_MINDIGITS);
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REQUIRE(digits <= ISC_HISTO_MAXDIGITS);
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return ceil(1.0 - (1.0 - digits) * LN_10 / LN_2);
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}
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/**********************************************************************/
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/*
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* The way we map buckets to keys is what gives the histogram a
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* consistent relative error across the whole range of `uint64_t`.
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* The mapping is log-linear: a chunk key is the logarithm of part
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* of the value (in other words, chunks are spaced exponentially);
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* and a bucket within a chunk is a linear function of another part
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* of the value.
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*
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* This log-linear spacing is similar to the size classes used by
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* jemalloc. It is also the way floating point numbers work: the
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* exponent is the log part, and the mantissa is the linear part.
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*
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* So, a chunk number is the log (base 2) of a `uint64_t`, which is
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* between 0 and 63, which is why there are up to 64 chunks. In
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* floating point terms the chunk number is the exponent. The
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* histogram's number of significant bits is the size of the
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* mantissa, which indexes buckets within each chunk.
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*
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* A fast way to get the logarithm of a positive integer is CLZ,
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* count leading zeroes.
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*
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* Chunk zero is special. Chunk 1 covers values between `CHUNKSIZE`
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* and `CHUNKSIZE * 2 - 1`, where `CHUNKSIZE == exponent << sigbits
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* == 1 << sigbits`. Each chunk has CHUNKSIZE buckets, so chunk 1 has
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* one value per bucket. There are CHUNKSIZE values before chunk 1
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* which map to chunk 0, so it also has one value per bucket. (Hence
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* the first two chunks have one value per bucket.) The values in
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* chunk 0 correspond to denormal nubers in floating point terms.
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* They are also the values where `63 - sigbits - clz` would be less
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* than one if denormals were not handled specially.
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*
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* This branchless conversion is due to Paul Khuong: see bin_down_of() in
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* https://pvk.ca/Blog/2015/06/27/linear-log-bucketing-fast-versatile-simple/
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*
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* This function is in the `isc_histo_inc()` fast path.
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*/
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static inline uint
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value_to_key(const isc_histo_t *hg, uint64_t value) {
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/* ensure that denormal numbers are all in chunk zero */
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uint64_t chunked = value | CHUNKSIZE(hg);
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int clz = __builtin_clzll((unsigned long long)(chunked));
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/* actually 1 less than the exponent except for denormals */
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uint exponent = 63 - hg->sigbits - clz;
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/* mantissa has leading bit set except for denormals */
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uint mantissa = value >> exponent;
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/* leading bit of mantissa adds one to exponent */
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return (exponent << hg->sigbits) + mantissa;
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}
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/*
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* Inverse functions of `value_to_key()`, to get the minimum and
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* maximum values that map to a particular key.
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*
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* We must not cause undefined behaviour by hitting integer limits,
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* which is a risk when we aim to cover the entire range of `uint64_t`.
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*
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* The maximum value in the last bucket is UINT64_MAX, which
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* `key_to_maxval()` gets by deliberately subtracting `0 - 1`,
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* undeflowing a `uint64_t`. That is OK when unsigned.
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*
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* We must take care not to shift too much in `key_to_minval()`.
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* The largest key passed by `key_to_maxval()` is `BUCKETS(hg)`, so
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* `exponent == EXPONENTS(hg) - 1 == 64 - sigbits`
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* which is always less than 64, so the size of the shift is OK.
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*
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* The `mantissa` in this edge case is just `chunksize`, which when
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* shifted becomes `1 << 64` which overflows `uint64_t` Again this is
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* OK when unsigned, so the return value is zero.
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*/
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static inline uint64_t
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key_to_minval(const isc_histo_t *hg, uint key) {
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uint chunksize = CHUNKSIZE(hg);
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uint exponent = (key / chunksize) - 1;
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uint64_t mantissa = (key % chunksize) + chunksize;
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return key < chunksize ? key : mantissa << exponent;
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}
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static inline uint64_t
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key_to_maxval(const isc_histo_t *hg, uint key) {
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return key_to_minval(hg, key + 1) - 1;
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}
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/**********************************************************************/
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static hg_bucket_t *
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key_to_new_bucket(isc_histo_t *hg, uint key) {
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/* slow path */
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uint chunksize = CHUNKSIZE(hg);
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uint chunk = key / chunksize;
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uint bucket = key % chunksize;
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hg_bucket_t *old_cp = NULL;
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hg_bucket_t *new_cp = isc_mem_cget(hg->mctx, CHUNKSIZE(hg),
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sizeof(hg_bucket_t));
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hg_chunk_t *cpp = &hg->chunk[chunk];
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if (atomic_compare_exchange_strong_acq_rel(cpp, &old_cp, new_cp)) {
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return &new_cp[bucket];
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} else {
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/* lost the race, so use the winner's chunk */
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isc_mem_cput(hg->mctx, new_cp, CHUNKSIZE(hg),
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sizeof(hg_bucket_t));
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return &old_cp[bucket];
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}
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}
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static hg_bucket_t *
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get_chunk(const isc_histo_t *hg, uint chunk) {
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return atomic_load_acquire(&hg->chunk[chunk]);
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}
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static inline hg_bucket_t *
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key_to_bucket(const isc_histo_t *hg, uint key) {
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/* fast path */
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uint chunksize = CHUNKSIZE(hg);
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uint chunk = key / chunksize;
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uint bucket = key % chunksize;
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hg_bucket_t *cp = get_chunk(hg, chunk);
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return cp == NULL ? NULL : &cp[bucket];
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}
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static inline uint64_t
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bucket_count(const hg_bucket_t *bp) {
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return bp == NULL ? 0 : atomic_load_relaxed(bp);
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}
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static inline uint64_t
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get_key_count(const isc_histo_t *hg, uint key) {
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return bucket_count(key_to_bucket(hg, key));
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}
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static inline void
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add_key_count(isc_histo_t *hg, uint key, uint64_t inc) {
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/* fast path */
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if (inc > 0) {
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hg_bucket_t *bp = key_to_bucket(hg, key);
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bp = bp != NULL ? bp : key_to_new_bucket(hg, key);
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atomic_fetch_add_relaxed(bp, inc);
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}
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}
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/**********************************************************************/
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void
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isc_histo_add(isc_histo_t *hg, uint64_t value, uint64_t inc) {
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REQUIRE(HISTO_VALID(hg));
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add_key_count(hg, value_to_key(hg, value), inc);
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}
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void
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isc_histo_inc(isc_histo_t *hg, uint64_t value) {
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isc_histo_add(hg, value, 1);
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}
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void
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isc_histo_put(isc_histo_t *hg, uint64_t min, uint64_t max, uint64_t count) {
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REQUIRE(HISTO_VALID(hg));
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uint kmin = value_to_key(hg, min);
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uint kmax = value_to_key(hg, max);
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for (uint key = kmin; key <= kmax; key++) {
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uint64_t mid = ISC_MIN(max, key_to_maxval(hg, key));
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double in_bucket = mid - min + 1;
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double remaining = max - min + 1;
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uint64_t inc = ceil(count * in_bucket / remaining);
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add_key_count(hg, key, inc);
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count -= inc;
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min = mid + 1;
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}
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}
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isc_result_t
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isc_histo_get(const isc_histo_t *hg, uint key, uint64_t *minp, uint64_t *maxp,
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uint64_t *countp) {
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REQUIRE(HISTO_VALID(hg));
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if (key < BUCKETS(hg)) {
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SET_IF_NOT_NULL(minp, key_to_minval(hg, key));
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SET_IF_NOT_NULL(maxp, key_to_maxval(hg, key));
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SET_IF_NOT_NULL(countp, get_key_count(hg, key));
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return ISC_R_SUCCESS;
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} else {
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return ISC_R_RANGE;
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}
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}
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void
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isc_histo_next(const isc_histo_t *hg, uint *keyp) {
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REQUIRE(HISTO_VALID(hg));
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REQUIRE(keyp != NULL);
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uint chunksize = CHUNKSIZE(hg);
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uint buckets = BUCKETS(hg);
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uint key = *keyp;
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key++;
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while (key < buckets && key % chunksize == 0 &&
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key_to_bucket(hg, key) == NULL)
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{
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key += chunksize;
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}
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*keyp = key;
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}
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void
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isc_histo_merge(isc_histo_t **targetp, const isc_histo_t *source) {
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REQUIRE(HISTO_VALID(source));
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REQUIRE(targetp != NULL);
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if (*targetp != NULL) {
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REQUIRE(HISTO_VALID(*targetp));
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} else {
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isc_histo_create(source->mctx, source->sigbits, targetp);
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}
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uint64_t min, max, count;
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for (uint key = 0;
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isc_histo_get(source, key, &min, &max, &count) == ISC_R_SUCCESS;
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isc_histo_next(source, &key))
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{
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isc_histo_put(*targetp, min, max, count);
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}
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}
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/**********************************************************************/
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void
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isc_histomulti_create(isc_mem_t *mctx, uint sigbits, isc_histomulti_t **hmp) {
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REQUIRE(hmp != NULL);
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REQUIRE(*hmp == NULL);
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uint size = isc_tid_count();
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INSIST(size > 0);
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isc_histomulti_t *hm = isc_mem_cget(mctx, 1,
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STRUCT_FLEX_SIZE(hm, hg, size));
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*hm = (isc_histomulti_t){
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.magic = HISTOMULTI_MAGIC,
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.size = size,
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};
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for (uint i = 0; i < hm->size; i++) {
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isc_histo_create(mctx, sigbits, &hm->hg[i]);
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}
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*hmp = hm;
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}
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void
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isc_histomulti_destroy(isc_histomulti_t **hmp) {
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REQUIRE(hmp != NULL);
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REQUIRE(HISTOMULTI_VALID(*hmp));
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isc_histomulti_t *hm = *hmp;
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isc_mem_t *mctx = hm->hg[0]->mctx;
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*hmp = NULL;
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for (uint i = 0; i < hm->size; i++) {
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isc_histo_destroy(&hm->hg[i]);
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}
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isc_mem_put(mctx, hm, STRUCT_FLEX_SIZE(hm, hg, hm->size));
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}
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void
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isc_histomulti_merge(isc_histo_t **hgp, const isc_histomulti_t *hm) {
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REQUIRE(HISTOMULTI_VALID(hm));
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for (uint i = 0; i < hm->size; i++) {
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isc_histo_merge(hgp, hm->hg[i]);
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}
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}
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void
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isc_histomulti_add(isc_histomulti_t *hm, uint64_t value, uint64_t inc) {
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REQUIRE(HISTOMULTI_VALID(hm));
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isc_histo_t *hg = hm->hg[isc_tid()];
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add_key_count(hg, value_to_key(hg, value), inc);
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}
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void
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isc_histomulti_inc(isc_histomulti_t *hm, uint64_t value) {
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isc_histomulti_add(hm, value, 1);
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}
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/**********************************************************************/
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/*
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* https://fanf2.user.srcf.net/hermes/doc/antiforgery/stats.pdf
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* equation 4 (incremental mean) and equation 44 (incremental variance)
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*/
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void
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isc_histo_moments(const isc_histo_t *hg, double *pm0, double *pm1,
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double *pm2) {
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REQUIRE(HISTO_VALID(hg));
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uint64_t pop = 0;
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double mean = 0.0;
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double sigma = 0.0;
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uint64_t min, max, count;
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for (uint key = 0;
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isc_histo_get(hg, key, &min, &max, &count) == ISC_R_SUCCESS;
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isc_histo_next(hg, &key))
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{
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if (count == 0) { /* avoid division by zero */
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continue;
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}
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double value = min / 2.0 + max / 2.0;
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double delta = value - mean;
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pop += count;
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mean += count * delta / pop;
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sigma += count * delta * (value - mean);
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}
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SET_IF_NOT_NULL(pm0, pop);
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SET_IF_NOT_NULL(pm1, mean);
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SET_IF_NOT_NULL(pm2, (pop > 0) ? sqrt(sigma / pop) : 0.0);
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}
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/*
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* Clamped linear interpolation
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*
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* `outrange` should be `((1 << n) - 1)` for some `n`; when `n` is larger
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* than 53, `outrange` can get rounded up to a power of 2, so we clamp the
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* result to keep within bounds (extra important when `max == UINT64_MAX`)
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*/
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static inline uint64_t
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lerp(uint64_t min, uint64_t max, uint64_t lo, uint64_t in, uint64_t hi) {
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double inrange = (double)(hi - lo);
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double inpart = (double)(in - lo);
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double outrange = (double)(max - min);
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double outpart = round(outrange * inpart / inrange);
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return min + ISC_MIN((uint64_t)outpart, max - min);
|
|
}
|
|
|
|
/*
|
|
* There is non-zero space for the inner value, and it is inside the bounds
|
|
*/
|
|
static inline bool
|
|
inside(uint64_t lo, uint64_t in, uint64_t hi) {
|
|
return lo < hi && lo <= in && in <= hi;
|
|
}
|
|
|
|
isc_result_t
|
|
isc_histo_quantiles(const isc_histo_t *hg, uint size, const double *fraction,
|
|
uint64_t *value) {
|
|
hg_bucket_t *chunk[CHUNKS];
|
|
uint64_t total[CHUNKS];
|
|
uint64_t rank[ISC_HISTO_MAXQUANTILES];
|
|
|
|
REQUIRE(HISTO_VALID(hg));
|
|
REQUIRE(0 < size && size <= ISC_HISTO_MAXQUANTILES);
|
|
REQUIRE(fraction != NULL);
|
|
REQUIRE(value != NULL);
|
|
|
|
const uint maxchunk = MAXCHUNK(hg);
|
|
const uint chunksize = CHUNKSIZE(hg);
|
|
|
|
/*
|
|
* Find out which chunks exist and what their totals are. We take a
|
|
* copy of the chunk pointers to reduce the need for atomic ops
|
|
* later on. Scan from low to high so that higher buckets are more
|
|
* likely to be in the CPU cache when we scan from high to low.
|
|
*/
|
|
uint64_t population = 0;
|
|
for (uint c = 0; c < maxchunk; c++) {
|
|
chunk[c] = get_chunk(hg, c);
|
|
total[c] = 0;
|
|
if (chunk[c] != NULL) {
|
|
for (uint b = chunksize; b-- > 0;) {
|
|
total[c] += bucket_count(&chunk[c][b]);
|
|
}
|
|
population += total[c];
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Now we know the population, we can convert fractions to ranks.
|
|
* Also ensure they are within bounds and in decreasing order.
|
|
*/
|
|
for (uint i = 0; i < size; i++) {
|
|
REQUIRE(0.0 <= fraction[i] && fraction[i] <= 1.0);
|
|
REQUIRE(i == 0 || fraction[i - 1] > fraction[i]);
|
|
rank[i] = round(fraction[i] * population);
|
|
}
|
|
|
|
/*
|
|
* Scan chunks from high to low, keeping track of the bounds on
|
|
* each chunk's ranks. Each time we match `rank[i]`, move on to the
|
|
* next rank and continue the scan from the same place.
|
|
*/
|
|
uint i = 0;
|
|
uint64_t chunk_lo = population;
|
|
for (uint c = maxchunk; c-- > 0;) {
|
|
uint64_t chunk_hi = chunk_lo;
|
|
chunk_lo = chunk_hi - total[c];
|
|
|
|
/*
|
|
* Scan buckets backwards within this chunk, in a similar
|
|
* manner to the chunk scan. Skip all or part of the loop
|
|
* if the current rank is not in the chunk.
|
|
*/
|
|
uint64_t bucket_lo = chunk_hi;
|
|
for (uint b = chunksize;
|
|
b-- > 0 && inside(chunk_lo, rank[i], chunk_hi);)
|
|
{
|
|
uint64_t bucket_hi = bucket_lo;
|
|
bucket_lo = bucket_hi - bucket_count(&chunk[c][b]);
|
|
|
|
/*
|
|
* Convert all ranks that fall in this bucket.
|
|
*/
|
|
while (inside(bucket_lo, rank[i], bucket_hi)) {
|
|
uint key = chunksize * c + b;
|
|
value[i] = lerp(key_to_minval(hg, key),
|
|
key_to_maxval(hg, key),
|
|
bucket_lo, rank[i], bucket_hi);
|
|
if (++i == size) {
|
|
return ISC_R_SUCCESS;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return ISC_R_UNSET;
|
|
}
|
|
|
|
/**********************************************************************/
|