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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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#pragma once
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#include <cassert>
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#include <unordered_map>
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#include "port/port.h"
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#include "rocksdb/file_checksum.h"
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#include "rocksdb/status.h"
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#include "util/coding.h"
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#include "util/crc32c.h"
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New stable, fixed-length cache keys (#9126)
Summary:
This change standardizes on a new 16-byte cache key format for
block cache (incl compressed and secondary) and persistent cache (but
not table cache and row cache).
The goal is a really fast cache key with practically ideal stability and
uniqueness properties without external dependencies (e.g. from FileSystem).
A fixed key size of 16 bytes should enable future optimizations to the
concurrent hash table for block cache, which is a heavy CPU user /
bottleneck, but there appears to be measurable performance improvement
even with no changes to LRUCache.
This change replaces a lot of disjointed and ugly code handling cache
keys with calls to a simple, clean new internal API (cache_key.h).
(Preserving the old cache key logic under an option would be very ugly
and likely negate the performance gain of the new approach. Complete
replacement carries some inherent risk, but I think that's acceptable
with sufficient analysis and testing.)
The scheme for encoding new cache keys is complicated but explained
in cache_key.cc.
Also: EndianSwapValue is moved to math.h to be next to other bit
operations. (Explains some new include "math.h".) ReverseBits operation
added and unit tests added to hash_test for both.
Fixes https://github.com/facebook/rocksdb/issues/7405 (presuming a root cause)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9126
Test Plan:
### Basic correctness
Several tests needed updates to work with the new functionality, mostly
because we are no longer relying on filesystem for stable cache keys
so table builders & readers need more context info to agree on cache
keys. This functionality is so core, a huge number of existing tests
exercise the cache key functionality.
### Performance
Create db with
`TEST_TMPDIR=/dev/shm ./db_bench -bloom_bits=10 -benchmarks=fillrandom -num=3000000 -partition_index_and_filters`
And test performance with
`TEST_TMPDIR=/dev/shm ./db_bench -readonly -use_existing_db -bloom_bits=10 -benchmarks=readrandom -num=3000000 -duration=30 -cache_index_and_filter_blocks -cache_size=250000 -threads=4`
using DEBUG_LEVEL=0 and simultaneous before & after runs.
Before ops/sec, avg over 100 runs: 121924
After ops/sec, avg over 100 runs: 125385 (+2.8%)
### Collision probability
I have built a tool, ./cache_bench -stress_cache_key to broadly simulate host-wide cache activity
over many months, by making some pessimistic simplifying assumptions:
* Every generated file has a cache entry for every byte offset in the file (contiguous range of cache keys)
* All of every file is cached for its entire lifetime
We use a simple table with skewed address assignment and replacement on address collision
to simulate files coming & going, with quite a variance (super-Poisson) in ages. Some output
with `./cache_bench -stress_cache_key -sck_keep_bits=40`:
```
Total cache or DBs size: 32TiB Writing 925.926 MiB/s or 76.2939TiB/day
Multiply by 9.22337e+18 to correct for simulation losses (but still assume whole file cached)
```
These come from default settings of 2.5M files per day of 32 MB each, and
`-sck_keep_bits=40` means that to represent a single file, we are only keeping 40 bits of
the 128-bit cache key. With file size of 2\*\*25 contiguous keys (pessimistic), our simulation
is about 2\*\*(128-40-25) or about 9 billion billion times more prone to collision than reality.
More default assumptions, relatively pessimistic:
* 100 DBs in same process (doesn't matter much)
* Re-open DB in same process (new session ID related to old session ID) on average
every 100 files generated
* Restart process (all new session IDs unrelated to old) 24 times per day
After enough data, we get a result at the end:
```
(keep 40 bits) 17 collisions after 2 x 90 days, est 10.5882 days between (9.76592e+19 corrected)
```
If we believe the (pessimistic) simulation and the mathematical generalization, we would need to run a billion machines all for 97 billion days to expect a cache key collision. To help verify that our generalization ("corrected") is robust, we can make our simulation more precise with `-sck_keep_bits=41` and `42`, which takes more running time to get enough data:
```
(keep 41 bits) 16 collisions after 4 x 90 days, est 22.5 days between (1.03763e+20 corrected)
(keep 42 bits) 19 collisions after 10 x 90 days, est 47.3684 days between (1.09224e+20 corrected)
```
The generalized prediction still holds. With the `-sck_randomize` option, we can see that we are beating "random" cache keys (except offsets still non-randomized) by a modest amount (roughly 20x less collision prone than random), which should make us reasonably comfortable even in "degenerate" cases:
```
197 collisions after 1 x 90 days, est 0.456853 days between (4.21372e+18 corrected)
```
I've run other tests to validate other conditions behave as expected, never behaving "worse than random" unless we start chopping off structured data.
Reviewed By: zhichao-cao
Differential Revision: D33171746
Pulled By: pdillinger
fbshipit-source-id: f16a57e369ed37be5e7e33525ace848d0537c88f
3 years ago
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#include "util/math.h"
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namespace ROCKSDB_NAMESPACE {
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// This is the class to generate the file checksum based on Crc32. It
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// will be used as the default checksum method for SST file checksum
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class FileChecksumGenCrc32c : public FileChecksumGenerator {
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public:
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FileChecksumGenCrc32c(const FileChecksumGenContext& /*context*/) {
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checksum_ = 0;
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}
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void Update(const char* data, size_t n) override {
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checksum_ = crc32c::Extend(checksum_, data, n);
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}
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void Finalize() override {
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assert(checksum_str_.empty());
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// Store as big endian raw bytes
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PutFixed32(&checksum_str_, EndianSwapValue(checksum_));
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}
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std::string GetChecksum() const override {
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assert(!checksum_str_.empty());
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return checksum_str_;
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}
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const char* Name() const override { return "FileChecksumCrc32c"; }
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private:
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uint32_t checksum_;
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std::string checksum_str_;
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};
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class FileChecksumGenCrc32cFactory : public FileChecksumGenFactory {
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public:
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std::unique_ptr<FileChecksumGenerator> CreateFileChecksumGenerator(
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const FileChecksumGenContext& context) override {
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if (context.requested_checksum_func_name.empty() ||
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context.requested_checksum_func_name == "FileChecksumCrc32c") {
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return std::unique_ptr<FileChecksumGenerator>(
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new FileChecksumGenCrc32c(context));
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} else {
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return nullptr;
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}
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}
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static const char* kClassName() { return "FileChecksumGenCrc32cFactory"; }
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const char* Name() const override { return kClassName(); }
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};
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// The default implementaion of FileChecksumList
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class FileChecksumListImpl : public FileChecksumList {
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public:
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FileChecksumListImpl() {}
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void reset() override;
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size_t size() const override;
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Status GetAllFileChecksums(
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std::vector<uint64_t>* file_numbers, std::vector<std::string>* checksums,
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std::vector<std::string>* checksum_func_names) override;
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Status SearchOneFileChecksum(uint64_t file_number, std::string* checksum,
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std::string* checksum_func_name) override;
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Status InsertOneFileChecksum(uint64_t file_number,
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const std::string& checksum,
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const std::string& checksum_func_name) override;
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Status RemoveOneFileChecksum(uint64_t file_number) override;
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private:
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// Key is the file number, the first portion of the value is checksum, the
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// second portion of the value is checksum function name.
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std::unordered_map<uint64_t, std::pair<std::string, std::string>>
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checksum_map_;
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};
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// If manifest_file_size < std::numeric_limits<uint64_t>::max(), only use
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// that length prefix of the manifest file.
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Status GetFileChecksumsFromManifest(Env* src_env, const std::string& abs_path,
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uint64_t manifest_file_size,
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FileChecksumList* checksum_list);
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} // namespace ROCKSDB_NAMESPACE
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