prometheus/tsdb/encoding/encoding.go

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// Copyright 2018 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package encoding
import (
"encoding/binary"
"errors"
"fmt"
"hash"
"hash/crc32"
Sync sparsehistogram branch with main (#9189) * Fix `kuma_sd` targetgroup reporting (#9157) * Bundle all xDS targets into a single group Signed-off-by: austin ce <austin.cawley@gmail.com> * Snapshot in-memory chunks on shutdown for faster restarts (#7229) Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com> * Rename links Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove Individual Data Type Caps in Per-shard Buffering for Remote Write (#8921) * Moved everything to nPending buffer Signed-off-by: Levi Harrison <git@leviharrison.dev> * Simplify exemplar capacity addition Signed-off-by: Levi Harrison <git@leviharrison.dev> * Added pre-allocation Signed-off-by: Levi Harrison <git@leviharrison.dev> * Don't allocate if not sending exemplars Signed-off-by: Levi Harrison <git@leviharrison.dev> * Avoid deadlock when processing duplicate series record (#9170) * Avoid deadlock when processing duplicate series record `processWALSamples()` needs to be able to send on its output channel before it can read the input channel, so reads to allow this in case the output channel is full. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * processWALSamples: update comment Previous text seems to relate to an earlier implementation. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Optimise WAL loading by removing extra map and caching min-time (#9160) * BenchmarkLoadWAL: close WAL after use So that goroutines are stopped and resources released Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: make series IDs co-prime with #workers Series are distributed across workers by taking the modulus of the ID with the number of workers, so multiples of 100 are a poor choice. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: simulate mmapped chunks Real Prometheus cuts chunks every 120 samples, then skips those samples when re-reading the WAL. Simulate this by creating a single mapped chunk for each series, since the max time is all the reader looks at. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Fix comment Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Remove series map from processWALSamples() The locks that is commented to reduce contention in are now sharded 32,000 ways, so won't be contended. Removing the map saves memory and goes just as fast. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * loadWAL: Cache the last mmapped chunk time So we can skip calling append() for samples it will reject. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Improvements from code review Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Full stops and capitals on comments Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Cache max time in both places mmappedChunks is updated Including refactor to extract function `setMMappedChunks`, to reduce code duplication. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Update head min/max time when mmapped chunks added This ensures we have the correct values if no WAL samples are added for that series. Note that `mSeries.maxTime()` was always `math.MinInt64` before, since that function doesn't consider mmapped chunks. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Split Go and React Tests (#8897) * Added go-ci and react-ci Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove search keymap from new expression editor (#9184) Signed-off-by: Julius Volz <julius.volz@gmail.com> Co-authored-by: Austin Cawley-Edwards <austin.cawley@gmail.com> Co-authored-by: Levi Harrison <git@leviharrison.dev> Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Co-authored-by: Bryan Boreham <bjboreham@gmail.com> Co-authored-by: Julius Volz <julius.volz@gmail.com>
2021-08-11 10:13:17 +00:00
"math"
"github.com/dennwc/varint"
)
var (
ErrInvalidSize = errors.New("invalid size")
ErrInvalidChecksum = errors.New("invalid checksum")
)
// Encbuf is a helper type to populate a byte slice with various types.
type Encbuf struct {
B []byte
C [binary.MaxVarintLen64]byte
}
func (e *Encbuf) Reset() { e.B = e.B[:0] }
func (e *Encbuf) Get() []byte { return e.B }
func (e *Encbuf) Len() int { return len(e.B) }
func (e *Encbuf) PutString(s string) { e.B = append(e.B, s...) }
func (e *Encbuf) PutByte(c byte) { e.B = append(e.B, c) }
Sync sparsehistogram branch with main (#9189) * Fix `kuma_sd` targetgroup reporting (#9157) * Bundle all xDS targets into a single group Signed-off-by: austin ce <austin.cawley@gmail.com> * Snapshot in-memory chunks on shutdown for faster restarts (#7229) Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com> * Rename links Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove Individual Data Type Caps in Per-shard Buffering for Remote Write (#8921) * Moved everything to nPending buffer Signed-off-by: Levi Harrison <git@leviharrison.dev> * Simplify exemplar capacity addition Signed-off-by: Levi Harrison <git@leviharrison.dev> * Added pre-allocation Signed-off-by: Levi Harrison <git@leviharrison.dev> * Don't allocate if not sending exemplars Signed-off-by: Levi Harrison <git@leviharrison.dev> * Avoid deadlock when processing duplicate series record (#9170) * Avoid deadlock when processing duplicate series record `processWALSamples()` needs to be able to send on its output channel before it can read the input channel, so reads to allow this in case the output channel is full. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * processWALSamples: update comment Previous text seems to relate to an earlier implementation. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Optimise WAL loading by removing extra map and caching min-time (#9160) * BenchmarkLoadWAL: close WAL after use So that goroutines are stopped and resources released Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: make series IDs co-prime with #workers Series are distributed across workers by taking the modulus of the ID with the number of workers, so multiples of 100 are a poor choice. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: simulate mmapped chunks Real Prometheus cuts chunks every 120 samples, then skips those samples when re-reading the WAL. Simulate this by creating a single mapped chunk for each series, since the max time is all the reader looks at. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Fix comment Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Remove series map from processWALSamples() The locks that is commented to reduce contention in are now sharded 32,000 ways, so won't be contended. Removing the map saves memory and goes just as fast. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * loadWAL: Cache the last mmapped chunk time So we can skip calling append() for samples it will reject. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Improvements from code review Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Full stops and capitals on comments Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Cache max time in both places mmappedChunks is updated Including refactor to extract function `setMMappedChunks`, to reduce code duplication. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Update head min/max time when mmapped chunks added This ensures we have the correct values if no WAL samples are added for that series. Note that `mSeries.maxTime()` was always `math.MinInt64` before, since that function doesn't consider mmapped chunks. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Split Go and React Tests (#8897) * Added go-ci and react-ci Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove search keymap from new expression editor (#9184) Signed-off-by: Julius Volz <julius.volz@gmail.com> Co-authored-by: Austin Cawley-Edwards <austin.cawley@gmail.com> Co-authored-by: Levi Harrison <git@leviharrison.dev> Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Co-authored-by: Bryan Boreham <bjboreham@gmail.com> Co-authored-by: Julius Volz <julius.volz@gmail.com>
2021-08-11 10:13:17 +00:00
func (e *Encbuf) PutBytes(b []byte) { e.B = append(e.B, b...) }
func (e *Encbuf) PutBE32int(x int) { e.PutBE32(uint32(x)) }
func (e *Encbuf) PutUvarint32(x uint32) { e.PutUvarint64(uint64(x)) }
func (e *Encbuf) PutBE64int64(x int64) { e.PutBE64(uint64(x)) }
func (e *Encbuf) PutUvarint(x int) { e.PutUvarint64(uint64(x)) }
func (e *Encbuf) PutBE32(x uint32) {
binary.BigEndian.PutUint32(e.C[:], x)
e.B = append(e.B, e.C[:4]...)
}
func (e *Encbuf) PutBE64(x uint64) {
binary.BigEndian.PutUint64(e.C[:], x)
e.B = append(e.B, e.C[:8]...)
}
Sync sparsehistogram branch with main (#9189) * Fix `kuma_sd` targetgroup reporting (#9157) * Bundle all xDS targets into a single group Signed-off-by: austin ce <austin.cawley@gmail.com> * Snapshot in-memory chunks on shutdown for faster restarts (#7229) Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com> * Rename links Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove Individual Data Type Caps in Per-shard Buffering for Remote Write (#8921) * Moved everything to nPending buffer Signed-off-by: Levi Harrison <git@leviharrison.dev> * Simplify exemplar capacity addition Signed-off-by: Levi Harrison <git@leviharrison.dev> * Added pre-allocation Signed-off-by: Levi Harrison <git@leviharrison.dev> * Don't allocate if not sending exemplars Signed-off-by: Levi Harrison <git@leviharrison.dev> * Avoid deadlock when processing duplicate series record (#9170) * Avoid deadlock when processing duplicate series record `processWALSamples()` needs to be able to send on its output channel before it can read the input channel, so reads to allow this in case the output channel is full. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * processWALSamples: update comment Previous text seems to relate to an earlier implementation. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Optimise WAL loading by removing extra map and caching min-time (#9160) * BenchmarkLoadWAL: close WAL after use So that goroutines are stopped and resources released Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: make series IDs co-prime with #workers Series are distributed across workers by taking the modulus of the ID with the number of workers, so multiples of 100 are a poor choice. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: simulate mmapped chunks Real Prometheus cuts chunks every 120 samples, then skips those samples when re-reading the WAL. Simulate this by creating a single mapped chunk for each series, since the max time is all the reader looks at. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Fix comment Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Remove series map from processWALSamples() The locks that is commented to reduce contention in are now sharded 32,000 ways, so won't be contended. Removing the map saves memory and goes just as fast. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * loadWAL: Cache the last mmapped chunk time So we can skip calling append() for samples it will reject. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Improvements from code review Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Full stops and capitals on comments Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Cache max time in both places mmappedChunks is updated Including refactor to extract function `setMMappedChunks`, to reduce code duplication. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Update head min/max time when mmapped chunks added This ensures we have the correct values if no WAL samples are added for that series. Note that `mSeries.maxTime()` was always `math.MinInt64` before, since that function doesn't consider mmapped chunks. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Split Go and React Tests (#8897) * Added go-ci and react-ci Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove search keymap from new expression editor (#9184) Signed-off-by: Julius Volz <julius.volz@gmail.com> Co-authored-by: Austin Cawley-Edwards <austin.cawley@gmail.com> Co-authored-by: Levi Harrison <git@leviharrison.dev> Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Co-authored-by: Bryan Boreham <bjboreham@gmail.com> Co-authored-by: Julius Volz <julius.volz@gmail.com>
2021-08-11 10:13:17 +00:00
func (e *Encbuf) PutBEFloat64(x float64) {
e.PutBE64(math.Float64bits(x))
}
func (e *Encbuf) PutUvarint64(x uint64) {
n := binary.PutUvarint(e.C[:], x)
e.B = append(e.B, e.C[:n]...)
}
func (e *Encbuf) PutVarint64(x int64) {
n := binary.PutVarint(e.C[:], x)
e.B = append(e.B, e.C[:n]...)
}
// PutUvarintStr writes a string to the buffer prefixed by its varint length (in bytes!).
func (e *Encbuf) PutUvarintStr(s string) {
e.PutUvarint(len(s))
e.PutString(s)
}
// PutUvarintBytes writes a variable length byte buffer.
Sync sparsehistogram branch with main (#9189) * Fix `kuma_sd` targetgroup reporting (#9157) * Bundle all xDS targets into a single group Signed-off-by: austin ce <austin.cawley@gmail.com> * Snapshot in-memory chunks on shutdown for faster restarts (#7229) Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com> * Rename links Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove Individual Data Type Caps in Per-shard Buffering for Remote Write (#8921) * Moved everything to nPending buffer Signed-off-by: Levi Harrison <git@leviharrison.dev> * Simplify exemplar capacity addition Signed-off-by: Levi Harrison <git@leviharrison.dev> * Added pre-allocation Signed-off-by: Levi Harrison <git@leviharrison.dev> * Don't allocate if not sending exemplars Signed-off-by: Levi Harrison <git@leviharrison.dev> * Avoid deadlock when processing duplicate series record (#9170) * Avoid deadlock when processing duplicate series record `processWALSamples()` needs to be able to send on its output channel before it can read the input channel, so reads to allow this in case the output channel is full. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * processWALSamples: update comment Previous text seems to relate to an earlier implementation. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Optimise WAL loading by removing extra map and caching min-time (#9160) * BenchmarkLoadWAL: close WAL after use So that goroutines are stopped and resources released Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: make series IDs co-prime with #workers Series are distributed across workers by taking the modulus of the ID with the number of workers, so multiples of 100 are a poor choice. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: simulate mmapped chunks Real Prometheus cuts chunks every 120 samples, then skips those samples when re-reading the WAL. Simulate this by creating a single mapped chunk for each series, since the max time is all the reader looks at. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Fix comment Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Remove series map from processWALSamples() The locks that is commented to reduce contention in are now sharded 32,000 ways, so won't be contended. Removing the map saves memory and goes just as fast. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * loadWAL: Cache the last mmapped chunk time So we can skip calling append() for samples it will reject. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Improvements from code review Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Full stops and capitals on comments Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Cache max time in both places mmappedChunks is updated Including refactor to extract function `setMMappedChunks`, to reduce code duplication. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Update head min/max time when mmapped chunks added This ensures we have the correct values if no WAL samples are added for that series. Note that `mSeries.maxTime()` was always `math.MinInt64` before, since that function doesn't consider mmapped chunks. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Split Go and React Tests (#8897) * Added go-ci and react-ci Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove search keymap from new expression editor (#9184) Signed-off-by: Julius Volz <julius.volz@gmail.com> Co-authored-by: Austin Cawley-Edwards <austin.cawley@gmail.com> Co-authored-by: Levi Harrison <git@leviharrison.dev> Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Co-authored-by: Bryan Boreham <bjboreham@gmail.com> Co-authored-by: Julius Volz <julius.volz@gmail.com>
2021-08-11 10:13:17 +00:00
func (e *Encbuf) PutUvarintBytes(b []byte) {
e.PutUvarint(len(b))
e.PutBytes(b)
}
// PutHash appends a hash over the buffers current contents to the buffer.
func (e *Encbuf) PutHash(h hash.Hash) {
h.Reset()
e.WriteToHash(h)
e.PutHashSum(h)
}
// WriteToHash writes the current buffer contents to the given hash.
func (e *Encbuf) WriteToHash(h hash.Hash) {
_, err := h.Write(e.B)
if err != nil {
panic(err) // The CRC32 implementation does not error
}
}
// PutHashSum writes the Sum of the given hash to the buffer.
func (e *Encbuf) PutHashSum(h hash.Hash) {
e.B = h.Sum(e.B)
}
// Decbuf provides safe methods to extract data from a byte slice. It does all
// necessary bounds checking and advancing of the byte slice.
// Several datums can be extracted without checking for errors. However, before using
// any datum, the err() method must be checked.
type Decbuf struct {
B []byte
E error
}
// NewDecbufAt returns a new decoding buffer. It expects the first 4 bytes
// after offset to hold the big endian encoded content length, followed by the contents and the expected
// checksum.
func NewDecbufAt(bs ByteSlice, off int, castagnoliTable *crc32.Table) Decbuf {
if bs.Len() < off+4 {
return Decbuf{E: ErrInvalidSize}
}
b := bs.Range(off, off+4)
l := int(binary.BigEndian.Uint32(b))
if bs.Len() < off+4+l+4 {
return Decbuf{E: ErrInvalidSize}
}
// Load bytes holding the contents plus a CRC32 checksum.
b = bs.Range(off+4, off+4+l+4)
dec := Decbuf{B: b[:len(b)-4]}
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
if castagnoliTable != nil {
if exp := binary.BigEndian.Uint32(b[len(b)-4:]); dec.Crc32(castagnoliTable) != exp {
return Decbuf{E: ErrInvalidChecksum}
}
}
return dec
}
// NewDecbufUvarintAt returns a new decoding buffer. It expects the first bytes
// after offset to hold the uvarint-encoded buffers length, followed by the contents and the expected
// checksum.
func NewDecbufUvarintAt(bs ByteSlice, off int, castagnoliTable *crc32.Table) Decbuf {
// We never have to access this method at the far end of the byte slice. Thus just checking
// against the MaxVarintLen32 is sufficient.
if bs.Len() < off+binary.MaxVarintLen32 {
return Decbuf{E: ErrInvalidSize}
}
b := bs.Range(off, off+binary.MaxVarintLen32)
l, n := varint.Uvarint(b)
if n <= 0 || n > binary.MaxVarintLen32 {
return Decbuf{E: fmt.Errorf("invalid uvarint %d", n)}
}
if bs.Len() < off+n+int(l)+4 {
return Decbuf{E: ErrInvalidSize}
}
// Load bytes holding the contents plus a CRC32 checksum.
b = bs.Range(off+n, off+n+int(l)+4)
dec := Decbuf{B: b[:len(b)-4]}
if dec.Crc32(castagnoliTable) != binary.BigEndian.Uint32(b[len(b)-4:]) {
return Decbuf{E: ErrInvalidChecksum}
}
return dec
}
// NewDecbufRaw returns a new decoding buffer of the given length.
func NewDecbufRaw(bs ByteSlice, length int) Decbuf {
if bs.Len() < length {
return Decbuf{E: ErrInvalidSize}
}
return Decbuf{B: bs.Range(0, length)}
}
func (d *Decbuf) Uvarint() int { return int(d.Uvarint64()) }
func (d *Decbuf) Uvarint32() uint32 { return uint32(d.Uvarint64()) }
func (d *Decbuf) Be32int() int { return int(d.Be32()) }
func (d *Decbuf) Be64int64() int64 { return int64(d.Be64()) }
// Crc32 returns a CRC32 checksum over the remaining bytes.
func (d *Decbuf) Crc32(castagnoliTable *crc32.Table) uint32 {
return crc32.Checksum(d.B, castagnoliTable)
}
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
func (d *Decbuf) Skip(l int) {
if len(d.B) < l {
d.E = ErrInvalidSize
return
}
d.B = d.B[l:]
}
func (d *Decbuf) UvarintStr() string {
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
return string(d.UvarintBytes())
}
// UvarintBytes returns a pointer to internal data;
// the return value becomes invalid if the byte slice goes away.
// Compared to UvarintStr, this avoids allocations.
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
func (d *Decbuf) UvarintBytes() []byte {
l := d.Uvarint64()
if d.E != nil {
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
return []byte{}
}
if len(d.B) < int(l) {
d.E = ErrInvalidSize
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
return []byte{}
}
Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~".*"-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~".*"-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~".*"-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".*",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.*",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-05 18:27:40 +00:00
s := d.B[:l]
d.B = d.B[l:]
return s
}
func (d *Decbuf) Varint64() int64 {
if d.E != nil {
return 0
}
// Decode as unsigned first, since that's what the varint library implements.
ux, n := varint.Uvarint(d.B)
if n < 1 {
d.E = ErrInvalidSize
return 0
}
// Now decode "ZigZag encoding" https://developers.google.com/protocol-buffers/docs/encoding#signed_integers.
x := int64(ux >> 1)
if ux&1 != 0 {
x = ^x
}
d.B = d.B[n:]
return x
}
func (d *Decbuf) Uvarint64() uint64 {
if d.E != nil {
return 0
}
x, n := varint.Uvarint(d.B)
if n < 1 {
d.E = ErrInvalidSize
return 0
}
d.B = d.B[n:]
return x
}
func (d *Decbuf) Be64() uint64 {
if d.E != nil {
return 0
}
if len(d.B) < 8 {
d.E = ErrInvalidSize
return 0
}
x := binary.BigEndian.Uint64(d.B)
d.B = d.B[8:]
return x
}
Sync sparsehistogram branch with main (#9189) * Fix `kuma_sd` targetgroup reporting (#9157) * Bundle all xDS targets into a single group Signed-off-by: austin ce <austin.cawley@gmail.com> * Snapshot in-memory chunks on shutdown for faster restarts (#7229) Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com> * Rename links Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove Individual Data Type Caps in Per-shard Buffering for Remote Write (#8921) * Moved everything to nPending buffer Signed-off-by: Levi Harrison <git@leviharrison.dev> * Simplify exemplar capacity addition Signed-off-by: Levi Harrison <git@leviharrison.dev> * Added pre-allocation Signed-off-by: Levi Harrison <git@leviharrison.dev> * Don't allocate if not sending exemplars Signed-off-by: Levi Harrison <git@leviharrison.dev> * Avoid deadlock when processing duplicate series record (#9170) * Avoid deadlock when processing duplicate series record `processWALSamples()` needs to be able to send on its output channel before it can read the input channel, so reads to allow this in case the output channel is full. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * processWALSamples: update comment Previous text seems to relate to an earlier implementation. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Optimise WAL loading by removing extra map and caching min-time (#9160) * BenchmarkLoadWAL: close WAL after use So that goroutines are stopped and resources released Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: make series IDs co-prime with #workers Series are distributed across workers by taking the modulus of the ID with the number of workers, so multiples of 100 are a poor choice. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * BenchmarkLoadWAL: simulate mmapped chunks Real Prometheus cuts chunks every 120 samples, then skips those samples when re-reading the WAL. Simulate this by creating a single mapped chunk for each series, since the max time is all the reader looks at. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Fix comment Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Remove series map from processWALSamples() The locks that is commented to reduce contention in are now sharded 32,000 ways, so won't be contended. Removing the map saves memory and goes just as fast. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * loadWAL: Cache the last mmapped chunk time So we can skip calling append() for samples it will reject. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Improvements from code review Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Full stops and capitals on comments Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Cache max time in both places mmappedChunks is updated Including refactor to extract function `setMMappedChunks`, to reduce code duplication. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Update head min/max time when mmapped chunks added This ensures we have the correct values if no WAL samples are added for that series. Note that `mSeries.maxTime()` was always `math.MinInt64` before, since that function doesn't consider mmapped chunks. Signed-off-by: Bryan Boreham <bjboreham@gmail.com> * Split Go and React Tests (#8897) * Added go-ci and react-ci Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Signed-off-by: Levi Harrison <git@leviharrison.dev> * Remove search keymap from new expression editor (#9184) Signed-off-by: Julius Volz <julius.volz@gmail.com> Co-authored-by: Austin Cawley-Edwards <austin.cawley@gmail.com> Co-authored-by: Levi Harrison <git@leviharrison.dev> Co-authored-by: Julien Pivotto <roidelapluie@inuits.eu> Co-authored-by: Bryan Boreham <bjboreham@gmail.com> Co-authored-by: Julius Volz <julius.volz@gmail.com>
2021-08-11 10:13:17 +00:00
func (d *Decbuf) Be64Float64() float64 {
return math.Float64frombits(d.Be64())
}
func (d *Decbuf) Be32() uint32 {
if d.E != nil {
return 0
}
if len(d.B) < 4 {
d.E = ErrInvalidSize
return 0
}
x := binary.BigEndian.Uint32(d.B)
d.B = d.B[4:]
return x
}
func (d *Decbuf) Byte() byte {
if d.E != nil {
return 0
}
if len(d.B) < 1 {
d.E = ErrInvalidSize
return 0
}
x := d.B[0]
d.B = d.B[1:]
return x
}
Coalesce series reads where we can. When compacting rather than doing a read of all series in the index per label name, do many at once but only when it won't use (much) more ram than writing the special all index does. original in-memory postings: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1202383447 ns/op 158936496 B/op 1031511 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1141792706 ns/op 154453408 B/op 1093453 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1169288829 ns/op 161072336 B/op 1110021 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1115700103 ns/op 149480472 B/op 1129180 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1283813141 ns/op 162937800 B/op 1202771 allocs/op before: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1145195941 ns/op 131749984 B/op 834400 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1233526345 ns/op 127889416 B/op 897033 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1821942296 ns/op 131665648 B/op 914836 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 8035568665 ns/op 123811832 B/op 934312 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 71325926267 ns/op 140722648 B/op 1016824 allocs/op after: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1101429174 ns/op 129063496 B/op 832571 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1074466374 ns/op 124154888 B/op 894875 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1166510282 ns/op 128790648 B/op 912931 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1075013071 ns/op 120570696 B/op 933511 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1231673790 ns/op 138754288 B/op 1022791 allocs/op Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-11 21:24:03 +00:00
func (d *Decbuf) ConsumePadding() {
if d.E != nil {
return
}
for len(d.B) > 1 && d.B[0] == '\x00' {
d.B = d.B[1:]
}
if len(d.B) < 1 {
d.E = ErrInvalidSize
}
}
func (d *Decbuf) Err() error { return d.E }
func (d *Decbuf) Len() int { return len(d.B) }
func (d *Decbuf) Get() []byte { return d.B }
// ByteSlice abstracts a byte slice.
type ByteSlice interface {
Len() int
Range(start, end int) []byte
}