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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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//
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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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//
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// Decodes the blocks generated by block_builder.cc.
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#include "table/block.h"
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#include <algorithm>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "rocksdb/comparator.h"
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#include "table/format.h"
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#include "table/block_prefix_index.h"
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#include "util/coding.h"
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#include "util/logging.h"
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#include "util/perf_context_imp.h"
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namespace rocksdb {
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// Helper routine: decode the next block entry starting at "p",
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// storing the number of shared key bytes, non_shared key bytes,
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// and the length of the value in "*shared", "*non_shared", and
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// "*value_length", respectively. Will not derefence past "limit".
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//
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// If any errors are detected, returns nullptr. Otherwise, returns a
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// pointer to the key delta (just past the three decoded values).
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static inline const char* DecodeEntry(const char* p, const char* limit,
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uint32_t* shared,
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uint32_t* non_shared,
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uint32_t* value_length) {
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if (limit - p < 3) return nullptr;
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*shared = reinterpret_cast<const unsigned char*>(p)[0];
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*non_shared = reinterpret_cast<const unsigned char*>(p)[1];
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*value_length = reinterpret_cast<const unsigned char*>(p)[2];
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if ((*shared | *non_shared | *value_length) < 128) {
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// Fast path: all three values are encoded in one byte each
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p += 3;
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} else {
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if ((p = GetVarint32Ptr(p, limit, shared)) == nullptr) return nullptr;
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if ((p = GetVarint32Ptr(p, limit, non_shared)) == nullptr) return nullptr;
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if ((p = GetVarint32Ptr(p, limit, value_length)) == nullptr) return nullptr;
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}
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if (static_cast<uint32_t>(limit - p) < (*non_shared + *value_length)) {
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return nullptr;
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}
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return p;
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}
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void BlockIter::Next() {
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assert(Valid());
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ParseNextKey();
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}
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void BlockIter::Prev() {
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assert(Valid());
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// Scan backwards to a restart point before current_
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const uint32_t original = current_;
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while (GetRestartPoint(restart_index_) >= original) {
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if (restart_index_ == 0) {
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// No more entries
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current_ = restarts_;
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restart_index_ = num_restarts_;
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return;
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}
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restart_index_--;
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}
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SeekToRestartPoint(restart_index_);
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do {
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// Loop until end of current entry hits the start of original entry
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} while (ParseNextKey() && NextEntryOffset() < original);
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}
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void BlockIter::Seek(const Slice& target) {
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PERF_TIMER_GUARD(block_seek_nanos);
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if (data_ == nullptr) { // Not init yet
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return;
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}
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uint32_t index = 0;
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bool ok = false;
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if (prefix_index_) {
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ok = PrefixSeek(target, &index);
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} else {
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ok = BinarySeek(target, 0, num_restarts_ - 1, &index);
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}
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if (!ok) {
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return;
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}
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SeekToRestartPoint(index);
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// Linear search (within restart block) for first key >= target
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while (true) {
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if (!ParseNextKey() || Compare(key_.GetKey(), target) >= 0) {
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return;
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}
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}
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}
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void BlockIter::SeekToFirst() {
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if (data_ == nullptr) { // Not init yet
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return;
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}
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SeekToRestartPoint(0);
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ParseNextKey();
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}
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void BlockIter::SeekToLast() {
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if (data_ == nullptr) { // Not init yet
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return;
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}
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SeekToRestartPoint(num_restarts_ - 1);
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while (ParseNextKey() && NextEntryOffset() < restarts_) {
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// Keep skipping
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}
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}
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void BlockIter::CorruptionError() {
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current_ = restarts_;
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restart_index_ = num_restarts_;
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status_ = Status::Corruption("bad entry in block");
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key_.Clear();
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value_.clear();
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}
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bool BlockIter::ParseNextKey() {
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current_ = NextEntryOffset();
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const char* p = data_ + current_;
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const char* limit = data_ + restarts_; // Restarts come right after data
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if (p >= limit) {
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// No more entries to return. Mark as invalid.
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current_ = restarts_;
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restart_index_ = num_restarts_;
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return false;
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}
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// Decode next entry
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uint32_t shared, non_shared, value_length;
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p = DecodeEntry(p, limit, &shared, &non_shared, &value_length);
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if (p == nullptr || key_.Size() < shared) {
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CorruptionError();
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return false;
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} else {
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if (shared == 0) {
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// If this key dont share any bytes with prev key then we dont need
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// to decode it and can use it's address in the block directly.
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key_.SetKey(Slice(p, non_shared), false /* copy */);
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} else {
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// This key share `shared` bytes with prev key, we need to decode it
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key_.TrimAppend(shared, p, non_shared);
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}
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value_ = Slice(p + non_shared, value_length);
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while (restart_index_ + 1 < num_restarts_ &&
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GetRestartPoint(restart_index_ + 1) < current_) {
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++restart_index_;
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}
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return true;
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}
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}
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// Binary search in restart array to find the first restart point
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// with a key >= target (TODO: this comment is inaccurate)
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bool BlockIter::BinarySeek(const Slice& target, uint32_t left, uint32_t right,
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uint32_t* index) {
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assert(left <= right);
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while (left < right) {
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uint32_t mid = (left + right + 1) / 2;
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uint32_t region_offset = GetRestartPoint(mid);
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Block::Iter::PrefixSeek() to have an extra check to filter out some false matches
Summary:
In block based table's hash index checking, when looking for a key that doesn't exist, there is a high chance that a false block is returned because of hash bucket conflicts. In this revision, another check is done to filter out some of those cases: comparing previous key of the block boundary to see whether the target block is what we are looking for.
In a favored test setting (bloom filter disabled, 8 L0 files), I saw about 80% improvements. In a non-favored test setting (bloom filter enabled, files are all in L1, files are all cached), I see the performance penalty is less than 3%.
Test Plan: make all check
Reviewers: haobo, ljin
Reviewed By: ljin
Subscribers: wuj, leveldb, zagfox, yhchiang
Differential Revision: https://reviews.facebook.net/D20595
10 years ago
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uint32_t shared, non_shared, value_length;
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const char* key_ptr =
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DecodeEntry(data_ + region_offset, data_ + restarts_, &shared,
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&non_shared, &value_length);
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Block::Iter::PrefixSeek() to have an extra check to filter out some false matches
Summary:
In block based table's hash index checking, when looking for a key that doesn't exist, there is a high chance that a false block is returned because of hash bucket conflicts. In this revision, another check is done to filter out some of those cases: comparing previous key of the block boundary to see whether the target block is what we are looking for.
In a favored test setting (bloom filter disabled, 8 L0 files), I saw about 80% improvements. In a non-favored test setting (bloom filter enabled, files are all in L1, files are all cached), I see the performance penalty is less than 3%.
Test Plan: make all check
Reviewers: haobo, ljin
Reviewed By: ljin
Subscribers: wuj, leveldb, zagfox, yhchiang
Differential Revision: https://reviews.facebook.net/D20595
10 years ago
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if (key_ptr == nullptr || (shared != 0)) {
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CorruptionError();
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return false;
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}
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Slice mid_key(key_ptr, non_shared);
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int cmp = Compare(mid_key, target);
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if (cmp < 0) {
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// Key at "mid" is smaller than "target". Therefore all
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// blocks before "mid" are uninteresting.
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left = mid;
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} else if (cmp > 0) {
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// Key at "mid" is >= "target". Therefore all blocks at or
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// after "mid" are uninteresting.
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right = mid - 1;
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} else {
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left = right = mid;
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Block::Iter::PrefixSeek() to have an extra check to filter out some false matches
Summary:
In block based table's hash index checking, when looking for a key that doesn't exist, there is a high chance that a false block is returned because of hash bucket conflicts. In this revision, another check is done to filter out some of those cases: comparing previous key of the block boundary to see whether the target block is what we are looking for.
In a favored test setting (bloom filter disabled, 8 L0 files), I saw about 80% improvements. In a non-favored test setting (bloom filter enabled, files are all in L1, files are all cached), I see the performance penalty is less than 3%.
Test Plan: make all check
Reviewers: haobo, ljin
Reviewed By: ljin
Subscribers: wuj, leveldb, zagfox, yhchiang
Differential Revision: https://reviews.facebook.net/D20595
10 years ago
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}
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}
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*index = left;
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return true;
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}
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// Compare target key and the block key of the block of `block_index`.
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// Return -1 if error.
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int BlockIter::CompareBlockKey(uint32_t block_index, const Slice& target) {
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uint32_t region_offset = GetRestartPoint(block_index);
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uint32_t shared, non_shared, value_length;
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const char* key_ptr = DecodeEntry(data_ + region_offset, data_ + restarts_,
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&shared, &non_shared, &value_length);
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if (key_ptr == nullptr || (shared != 0)) {
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CorruptionError();
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return 1; // Return target is smaller
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}
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Slice block_key(key_ptr, non_shared);
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return Compare(block_key, target);
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}
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Block::Iter::PrefixSeek() to have an extra check to filter out some false matches
Summary:
In block based table's hash index checking, when looking for a key that doesn't exist, there is a high chance that a false block is returned because of hash bucket conflicts. In this revision, another check is done to filter out some of those cases: comparing previous key of the block boundary to see whether the target block is what we are looking for.
In a favored test setting (bloom filter disabled, 8 L0 files), I saw about 80% improvements. In a non-favored test setting (bloom filter enabled, files are all in L1, files are all cached), I see the performance penalty is less than 3%.
Test Plan: make all check
Reviewers: haobo, ljin
Reviewed By: ljin
Subscribers: wuj, leveldb, zagfox, yhchiang
Differential Revision: https://reviews.facebook.net/D20595
10 years ago
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// Binary search in block_ids to find the first block
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// with a key >= target
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bool BlockIter::BinaryBlockIndexSeek(const Slice& target, uint32_t* block_ids,
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uint32_t left, uint32_t right,
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uint32_t* index) {
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assert(left <= right);
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uint32_t left_bound = left;
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while (left <= right) {
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uint32_t mid = (left + right) / 2;
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Block::Iter::PrefixSeek() to have an extra check to filter out some false matches
Summary:
In block based table's hash index checking, when looking for a key that doesn't exist, there is a high chance that a false block is returned because of hash bucket conflicts. In this revision, another check is done to filter out some of those cases: comparing previous key of the block boundary to see whether the target block is what we are looking for.
In a favored test setting (bloom filter disabled, 8 L0 files), I saw about 80% improvements. In a non-favored test setting (bloom filter enabled, files are all in L1, files are all cached), I see the performance penalty is less than 3%.
Test Plan: make all check
Reviewers: haobo, ljin
Reviewed By: ljin
Subscribers: wuj, leveldb, zagfox, yhchiang
Differential Revision: https://reviews.facebook.net/D20595
10 years ago
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int cmp = CompareBlockKey(block_ids[mid], target);
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if (!status_.ok()) {
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return false;
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}
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if (cmp < 0) {
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// Key at "target" is larger than "mid". Therefore all
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// blocks before or at "mid" are uninteresting.
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left = mid + 1;
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} else {
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// Key at "target" is <= "mid". Therefore all blocks
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// after "mid" are uninteresting.
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// If there is only one block left, we found it.
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if (left == right) break;
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right = mid;
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}
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}
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if (left == right) {
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// In one of the two following cases:
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// (1) left is the first one of block_ids
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// (2) there is a gap of blocks between block of `left` and `left-1`.
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// we can further distinguish the case of key in the block or key not
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// existing, by comparing the target key and the key of the previous
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// block to the left of the block found.
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if (block_ids[left] > 0 &&
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(left == left_bound || block_ids[left - 1] != block_ids[left] - 1) &&
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CompareBlockKey(block_ids[left] - 1, target) > 0) {
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current_ = restarts_;
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return false;
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}
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*index = block_ids[left];
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return true;
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} else {
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assert(left > right);
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// Mark iterator invalid
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current_ = restarts_;
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return false;
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}
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}
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bool BlockIter::PrefixSeek(const Slice& target, uint32_t* index) {
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assert(prefix_index_);
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uint32_t* block_ids = nullptr;
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uint32_t num_blocks = prefix_index_->GetBlocks(target, &block_ids);
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if (num_blocks == 0) {
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current_ = restarts_;
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return false;
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} else {
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return BinaryBlockIndexSeek(target, block_ids, 0, num_blocks - 1, index);
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}
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}
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uint32_t Block::NumRestarts() const {
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assert(size_ >= 2*sizeof(uint32_t));
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return DecodeFixed32(data_ + size_ - sizeof(uint32_t));
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}
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Block::Block(BlockContents&& contents)
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: contents_(std::move(contents)),
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data_(contents_.data.data()),
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size_(contents_.data.size()) {
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if (size_ < sizeof(uint32_t)) {
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size_ = 0; // Error marker
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} else {
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restart_offset_ =
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static_cast<uint32_t>(size_) - (1 + NumRestarts()) * sizeof(uint32_t);
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if (restart_offset_ > size_ - sizeof(uint32_t)) {
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// The size is too small for NumRestarts() and therefore
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// restart_offset_ wrapped around.
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size_ = 0;
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}
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}
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}
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InternalIterator* Block::NewIterator(const Comparator* cmp, BlockIter* iter,
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bool total_order_seek) {
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if (size_ < 2*sizeof(uint32_t)) {
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if (iter != nullptr) {
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iter->SetStatus(Status::Corruption("bad block contents"));
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return iter;
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} else {
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return NewErrorInternalIterator(Status::Corruption("bad block contents"));
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}
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}
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const uint32_t num_restarts = NumRestarts();
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if (num_restarts == 0) {
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if (iter != nullptr) {
|
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iter->SetStatus(Status::OK());
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return iter;
|
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} else {
|
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return NewEmptyInternalIterator();
|
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}
|
|
|
|
} else {
|
|
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BlockPrefixIndex* prefix_index_ptr =
|
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|
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total_order_seek ? nullptr : prefix_index_.get();
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if (iter != nullptr) {
|
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iter->Initialize(cmp, data_, restart_offset_, num_restarts,
|
|
|
|
prefix_index_ptr);
|
|
|
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} else {
|
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|
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iter = new BlockIter(cmp, data_, restart_offset_, num_restarts,
|
|
|
|
prefix_index_ptr);
|
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|
}
|
|
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|
}
|
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|
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|
|
return iter;
|
|
|
|
}
|
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|
|
void Block::SetBlockPrefixIndex(BlockPrefixIndex* prefix_index) {
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|
prefix_index_.reset(prefix_index);
|
|
|
|
}
|
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|
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|
|
size_t Block::ApproximateMemoryUsage() const {
|
Use malloc_usable_size() for accounting block cache size
Summary:
Currently, when we insert something into block cache, we say that the block cache capacity decreased by the size of the block. However, size of the block might be less than the actual memory used by this object. For example, 4.5KB block will actually use 8KB of memory. So even if we configure block cache to 10GB, our actually memory usage of block cache will be 20GB!
This problem showed up a lot in testing and just recently also showed up in MongoRocks production where we were using 30GB more memory than expected.
This diff will fix the problem. Instead of counting the block size, we will count memory used by the block. That way, a block cache configured to be 10GB will actually use only 10GB of memory.
I'm using non-portable function and I couldn't find info on portability on Google. However, it seems to work on Linux, which will cover majority of our use-cases.
Test Plan:
1. fill up mongo instance with 80GB of data
2. restart mongo with block cache size configured to 10GB
3. do a table scan in mongo
4. memory usage before the diff: 12GB. memory usage after the diff: 10.5GB
Reviewers: sdong, MarkCallaghan, rven, yhchiang
Reviewed By: yhchiang
Subscribers: dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D40635
10 years ago
|
|
|
size_t usage = usable_size();
|
|
|
|
if (prefix_index_) {
|
|
|
|
usage += prefix_index_->ApproximateMemoryUsage();
|
|
|
|
}
|
|
|
|
return usage;
|
|
|
|
}
|
|
|
|
|
|
|
|
} // namespace rocksdb
|