rocksdb/table/cuckoo/cuckoo_table_builder.cc
Peter Dillinger 7a1b0207e6 format_version=6 and context-aware block checksums (#9058)
Summary:
## Context checksum
All RocksDB checksums currently use 32 bits of checking
power, which should be 1 in 4 billion false negative (FN) probability (failing to
detect corruption). This is true for random corruptions, and in some cases
small corruptions are guaranteed to be detected. But some possible
corruptions, such as in storage metadata rather than storage payload data,
would have a much higher FN rate. For example:
* Data larger than one SST block is replaced by data from elsewhere in
the same or another SST file. Especially with block_align=true, the
probability of exact block size match is probably around 1 in 100, making
the FN probability around that same. Without `block_align=true` the
probability of same block start location is probably around 1 in 10,000,
for FN probability around 1 in a million.

To solve this problem in new format_version=6, we add "context awareness"
to block checksum checks. The stored and expected checksum value is
modified based on the block's position in the file and which file it is in. The
modifications are cleverly chosen so that, for example
* blocks within about 4GB of each other are guaranteed to use different context
* blocks that are offset by exactly some multiple of 4GiB are guaranteed to use
different context
* files generated by the same process are guaranteed to use different context
for the same offsets, until wrap-around after 2^32 - 1 files

Thus, with format_version=6, if a valid SST block and checksum is misplaced,
its checksum FN probability should be essentially ideal, 1 in 4B.

## Footer checksum
This change also adds checksum protection to the SST footer (with
format_version=6), for the first time without relying on whole file checksum.
To prevent a corruption of the format_version in the footer (e.g. 6 -> 5) to
defeat the footer checksum, we change much of the footer data format
including an "extended magic number" in format_version 6 that would be
interpreted as empty index and metaindex block handles in older footer
versions. We also change the encoding of handles to free up space for
other new data in footer.

## More detail: making space in footer
In order to keep footer the same size in format_version=6 (avoid change to IO
patterns), we have to free up some space for new data. We do this two ways:
* Metaindex block handle is encoded down to 4 bytes (from 10) by assuming
it immediately precedes the footer, and by assuming it is < 4GB.
* Index block handle is moved into metaindex. (I don't know why it was
in footer to begin with.)

## Performance
In case of small performance penalty, I've made a "pay as you go" optimization
to compensate: replace `MutableCFOptions` in BlockBasedTableBuilder::Rep
with the only field used in that structure after construction: `prefix_extractor`.
This makes the PR an overall performance improvement (results below).

Nevertheless I'm seeing essentially no difference going from fv=5 to fv=6,
even including that improvement for both. That's based on extreme case table
write performance testing, many files with many blocks. This is relatively
checksum intensive (small blocks) and salt generation intensive (small files).

```
(for I in `seq 1 100`; do TEST_TMPDIR=/dev/shm/dbbench2 ./db_bench -benchmarks=fillseq -memtablerep=vector -disable_wal=1 -allow_concurrent_memtable_write=false -num=3000000 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -write_buffer_size=100000 -compression_type=none -block_size=1000; done) 2>&1 | grep micros/op | tee out
awk '{ tot += $5; n += 1; } END { print int(1.0 * tot / n) }' < out
```

Each value below is ops/s averaged over 100 runs, run simultaneously with competing
configuration for load fairness

Before -> after (both fv=5): 483530 -> 483673 (negligible)
Re-run 1: 480733 -> 485427 (1.0% faster)
Re-run 2: 483821 -> 484541 (0.1% faster)
Before (fv=5) -> after (fv=6): 482006 -> 485100 (0.6% faster)
Re-run 1: 482212 -> 485075 (0.6% faster)
Re-run 2: 483590 -> 484073 (0.1% faster)
After fv=5 -> after fv=6: 483878 -> 485542 (0.3% faster)
Re-run 1: 485331 -> 483385 (0.4% slower)
Re-run 2: 485283 -> 483435 (0.4% slower)
Re-run 3: 483647 -> 486109 (0.5% faster)

Pull Request resolved: https://github.com/facebook/rocksdb/pull/9058

Test Plan:
unit tests included (table_test, db_properties_test, salt in env_test). General DB tests
and crash test updated to test new format_version.

Also temporarily updated the default format version to 6 and saw some test failures. Almost all
were due to an inadvertent additional read in VerifyChecksum to verify the index block checksum,
though it's arguably a bug that VerifyChecksum does not appear to (re-)verify the index block
checksum, just assuming it was verified in opening the index reader (probably *usually* true but
probably not always true). Some other concerns about VerifyChecksum are left in FIXME
comments. The only remaining test failure on change of default (in block_fetcher_test) now
has a comment about how to upgrade the test.

The format compatibility test does not need updating because we have not updated the default
format_version.

Reviewed By: ajkr, mrambacher

Differential Revision: D33100915

Pulled By: pdillinger

fbshipit-source-id: 8679e3e572fa580181a737fd6d113ed53c5422ee
2023-07-30 16:40:01 -07:00

556 lines
21 KiB
C++

// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root directory).
#include "table/cuckoo/cuckoo_table_builder.h"
#include <assert.h>
#include <algorithm>
#include <limits>
#include <string>
#include <vector>
#include "db/dbformat.h"
#include "file/writable_file_writer.h"
#include "rocksdb/env.h"
#include "rocksdb/table.h"
#include "table/block_based/block_builder.h"
#include "table/cuckoo/cuckoo_table_factory.h"
#include "table/format.h"
#include "table/meta_blocks.h"
#include "util/autovector.h"
#include "util/random.h"
#include "util/string_util.h"
namespace ROCKSDB_NAMESPACE {
const std::string CuckooTablePropertyNames::kEmptyKey =
"rocksdb.cuckoo.bucket.empty.key";
const std::string CuckooTablePropertyNames::kNumHashFunc =
"rocksdb.cuckoo.hash.num";
const std::string CuckooTablePropertyNames::kHashTableSize =
"rocksdb.cuckoo.hash.size";
const std::string CuckooTablePropertyNames::kValueLength =
"rocksdb.cuckoo.value.length";
const std::string CuckooTablePropertyNames::kIsLastLevel =
"rocksdb.cuckoo.file.islastlevel";
const std::string CuckooTablePropertyNames::kCuckooBlockSize =
"rocksdb.cuckoo.hash.cuckooblocksize";
const std::string CuckooTablePropertyNames::kIdentityAsFirstHash =
"rocksdb.cuckoo.hash.identityfirst";
const std::string CuckooTablePropertyNames::kUseModuleHash =
"rocksdb.cuckoo.hash.usemodule";
const std::string CuckooTablePropertyNames::kUserKeyLength =
"rocksdb.cuckoo.hash.userkeylength";
// Obtained by running echo rocksdb.table.cuckoo | sha1sum
extern const uint64_t kCuckooTableMagicNumber = 0x926789d0c5f17873ull;
CuckooTableBuilder::CuckooTableBuilder(
WritableFileWriter* file, double max_hash_table_ratio,
uint32_t max_num_hash_table, uint32_t max_search_depth,
const Comparator* user_comparator, uint32_t cuckoo_block_size,
bool use_module_hash, bool identity_as_first_hash,
uint64_t (*get_slice_hash)(const Slice&, uint32_t, uint64_t),
uint32_t column_family_id, const std::string& column_family_name,
const std::string& db_id, const std::string& db_session_id,
uint64_t file_number)
: num_hash_func_(2),
file_(file),
max_hash_table_ratio_(max_hash_table_ratio),
max_num_hash_func_(max_num_hash_table),
max_search_depth_(max_search_depth),
cuckoo_block_size_(std::max(1U, cuckoo_block_size)),
hash_table_size_(use_module_hash ? 0 : 2),
is_last_level_file_(false),
has_seen_first_key_(false),
has_seen_first_value_(false),
key_size_(0),
value_size_(0),
num_entries_(0),
num_values_(0),
ucomp_(user_comparator),
use_module_hash_(use_module_hash),
identity_as_first_hash_(identity_as_first_hash),
get_slice_hash_(get_slice_hash),
closed_(false) {
// Data is in a huge block.
properties_.num_data_blocks = 1;
properties_.index_size = 0;
properties_.filter_size = 0;
properties_.column_family_id = column_family_id;
properties_.column_family_name = column_family_name;
properties_.db_id = db_id;
properties_.db_session_id = db_session_id;
properties_.orig_file_number = file_number;
status_.PermitUncheckedError();
io_status_.PermitUncheckedError();
}
void CuckooTableBuilder::Add(const Slice& key, const Slice& value) {
if (num_entries_ >= kMaxVectorIdx - 1) {
status_ = Status::NotSupported("Number of keys in a file must be < 2^32-1");
return;
}
ParsedInternalKey ikey;
Status pik_status =
ParseInternalKey(key, &ikey, false /* log_err_key */); // TODO
if (!pik_status.ok()) {
status_ = Status::Corruption("Unable to parse key into internal key. ",
pik_status.getState());
return;
}
if (ikey.type != kTypeDeletion && ikey.type != kTypeValue) {
status_ = Status::NotSupported("Unsupported key type " +
std::to_string(ikey.type));
return;
}
// Determine if we can ignore the sequence number and value type from
// internal keys by looking at sequence number from first key. We assume
// that if first key has a zero sequence number, then all the remaining
// keys will have zero seq. no.
if (!has_seen_first_key_) {
is_last_level_file_ = ikey.sequence == 0;
has_seen_first_key_ = true;
smallest_user_key_.assign(ikey.user_key.data(), ikey.user_key.size());
largest_user_key_.assign(ikey.user_key.data(), ikey.user_key.size());
key_size_ = is_last_level_file_ ? ikey.user_key.size() : key.size();
}
if (key_size_ != (is_last_level_file_ ? ikey.user_key.size() : key.size())) {
status_ = Status::NotSupported("all keys have to be the same size");
return;
}
if (ikey.type == kTypeValue) {
if (!has_seen_first_value_) {
has_seen_first_value_ = true;
value_size_ = value.size();
}
if (value_size_ != value.size()) {
status_ = Status::NotSupported("all values have to be the same size");
return;
}
if (is_last_level_file_) {
kvs_.append(ikey.user_key.data(), ikey.user_key.size());
} else {
kvs_.append(key.data(), key.size());
}
kvs_.append(value.data(), value.size());
++num_values_;
} else {
if (is_last_level_file_) {
deleted_keys_.append(ikey.user_key.data(), ikey.user_key.size());
} else {
deleted_keys_.append(key.data(), key.size());
}
}
++num_entries_;
// In order to fill the empty buckets in the hash table, we identify a
// key which is not used so far (unused_user_key). We determine this by
// maintaining smallest and largest keys inserted so far in bytewise order
// and use them to find a key outside this range in Finish() operation.
// Note that this strategy is independent of user comparator used here.
if (ikey.user_key.compare(smallest_user_key_) < 0) {
smallest_user_key_.assign(ikey.user_key.data(), ikey.user_key.size());
} else if (ikey.user_key.compare(largest_user_key_) > 0) {
largest_user_key_.assign(ikey.user_key.data(), ikey.user_key.size());
}
if (!use_module_hash_) {
if (hash_table_size_ < num_entries_ / max_hash_table_ratio_) {
hash_table_size_ *= 2;
}
}
}
bool CuckooTableBuilder::IsDeletedKey(uint64_t idx) const {
assert(closed_);
return idx >= num_values_;
}
Slice CuckooTableBuilder::GetKey(uint64_t idx) const {
assert(closed_);
if (IsDeletedKey(idx)) {
return Slice(
&deleted_keys_[static_cast<size_t>((idx - num_values_) * key_size_)],
static_cast<size_t>(key_size_));
}
return Slice(&kvs_[static_cast<size_t>(idx * (key_size_ + value_size_))],
static_cast<size_t>(key_size_));
}
Slice CuckooTableBuilder::GetUserKey(uint64_t idx) const {
assert(closed_);
return is_last_level_file_ ? GetKey(idx) : ExtractUserKey(GetKey(idx));
}
Slice CuckooTableBuilder::GetValue(uint64_t idx) const {
assert(closed_);
if (IsDeletedKey(idx)) {
static std::string empty_value(static_cast<unsigned int>(value_size_), 'a');
return Slice(empty_value);
}
return Slice(
&kvs_[static_cast<size_t>(idx * (key_size_ + value_size_) + key_size_)],
static_cast<size_t>(value_size_));
}
Status CuckooTableBuilder::MakeHashTable(std::vector<CuckooBucket>* buckets) {
buckets->resize(
static_cast<size_t>(hash_table_size_ + cuckoo_block_size_ - 1));
uint32_t make_space_for_key_call_id = 0;
for (uint32_t vector_idx = 0; vector_idx < num_entries_; vector_idx++) {
uint64_t bucket_id = 0;
bool bucket_found = false;
autovector<uint64_t> hash_vals;
Slice user_key = GetUserKey(vector_idx);
for (uint32_t hash_cnt = 0; hash_cnt < num_hash_func_ && !bucket_found;
++hash_cnt) {
uint64_t hash_val =
CuckooHash(user_key, hash_cnt, use_module_hash_, hash_table_size_,
identity_as_first_hash_, get_slice_hash_);
// If there is a collision, check next cuckoo_block_size_ locations for
// empty locations. While checking, if we reach end of the hash table,
// stop searching and proceed for next hash function.
for (uint32_t block_idx = 0; block_idx < cuckoo_block_size_;
++block_idx, ++hash_val) {
if ((*buckets)[static_cast<size_t>(hash_val)].vector_idx ==
kMaxVectorIdx) {
bucket_id = hash_val;
bucket_found = true;
break;
} else {
if (ucomp_->Compare(
user_key, GetUserKey((*buckets)[static_cast<size_t>(hash_val)]
.vector_idx)) == 0) {
return Status::NotSupported("Same key is being inserted again.");
}
hash_vals.push_back(hash_val);
}
}
}
while (!bucket_found &&
!MakeSpaceForKey(hash_vals, ++make_space_for_key_call_id, buckets,
&bucket_id)) {
// Rehash by increashing number of hash tables.
if (num_hash_func_ >= max_num_hash_func_) {
return Status::NotSupported("Too many collisions. Unable to hash.");
}
// We don't really need to rehash the entire table because old hashes are
// still valid and we only increased the number of hash functions.
uint64_t hash_val = CuckooHash(user_key, num_hash_func_, use_module_hash_,
hash_table_size_, identity_as_first_hash_,
get_slice_hash_);
++num_hash_func_;
for (uint32_t block_idx = 0; block_idx < cuckoo_block_size_;
++block_idx, ++hash_val) {
if ((*buckets)[static_cast<size_t>(hash_val)].vector_idx ==
kMaxVectorIdx) {
bucket_found = true;
bucket_id = hash_val;
break;
} else {
hash_vals.push_back(hash_val);
}
}
}
(*buckets)[static_cast<size_t>(bucket_id)].vector_idx = vector_idx;
}
return Status::OK();
}
Status CuckooTableBuilder::Finish() {
assert(!closed_);
closed_ = true;
std::vector<CuckooBucket> buckets;
std::string unused_bucket;
if (num_entries_ > 0) {
// Calculate the real hash size if module hash is enabled.
if (use_module_hash_) {
hash_table_size_ =
static_cast<uint64_t>(num_entries_ / max_hash_table_ratio_);
}
status_ = MakeHashTable(&buckets);
if (!status_.ok()) {
return status_;
}
// Determine unused_user_key to fill empty buckets.
std::string unused_user_key = smallest_user_key_;
int curr_pos = static_cast<int>(unused_user_key.size()) - 1;
while (curr_pos >= 0) {
--unused_user_key[curr_pos];
if (Slice(unused_user_key).compare(smallest_user_key_) < 0) {
break;
}
--curr_pos;
}
if (curr_pos < 0) {
// Try using the largest key to identify an unused key.
unused_user_key = largest_user_key_;
curr_pos = static_cast<int>(unused_user_key.size()) - 1;
while (curr_pos >= 0) {
++unused_user_key[curr_pos];
if (Slice(unused_user_key).compare(largest_user_key_) > 0) {
break;
}
--curr_pos;
}
}
if (curr_pos < 0) {
return Status::Corruption("Unable to find unused key");
}
if (is_last_level_file_) {
unused_bucket = unused_user_key;
} else {
ParsedInternalKey ikey(unused_user_key, 0, kTypeValue);
AppendInternalKey(&unused_bucket, ikey);
}
}
properties_.num_entries = num_entries_;
properties_.num_deletions = num_entries_ - num_values_;
properties_.fixed_key_len = key_size_;
properties_.user_collected_properties[CuckooTablePropertyNames::kValueLength]
.assign(reinterpret_cast<const char*>(&value_size_), sizeof(value_size_));
uint64_t bucket_size = key_size_ + value_size_;
unused_bucket.resize(static_cast<size_t>(bucket_size), 'a');
// Write the table.
uint32_t num_added = 0;
for (auto& bucket : buckets) {
if (bucket.vector_idx == kMaxVectorIdx) {
io_status_ = file_->Append(Slice(unused_bucket));
} else {
++num_added;
io_status_ = file_->Append(GetKey(bucket.vector_idx));
if (io_status_.ok()) {
if (value_size_ > 0) {
io_status_ = file_->Append(GetValue(bucket.vector_idx));
}
}
}
if (!io_status_.ok()) {
status_ = io_status_;
return status_;
}
}
assert(num_added == NumEntries());
properties_.raw_key_size = num_added * properties_.fixed_key_len;
properties_.raw_value_size = num_added * value_size_;
uint64_t offset = buckets.size() * bucket_size;
properties_.data_size = offset;
unused_bucket.resize(static_cast<size_t>(properties_.fixed_key_len));
properties_.user_collected_properties[CuckooTablePropertyNames::kEmptyKey] =
unused_bucket;
properties_.user_collected_properties[CuckooTablePropertyNames::kNumHashFunc]
.assign(reinterpret_cast<char*>(&num_hash_func_), sizeof(num_hash_func_));
properties_
.user_collected_properties[CuckooTablePropertyNames::kHashTableSize]
.assign(reinterpret_cast<const char*>(&hash_table_size_),
sizeof(hash_table_size_));
properties_.user_collected_properties[CuckooTablePropertyNames::kIsLastLevel]
.assign(reinterpret_cast<const char*>(&is_last_level_file_),
sizeof(is_last_level_file_));
properties_
.user_collected_properties[CuckooTablePropertyNames::kCuckooBlockSize]
.assign(reinterpret_cast<const char*>(&cuckoo_block_size_),
sizeof(cuckoo_block_size_));
properties_
.user_collected_properties[CuckooTablePropertyNames::kIdentityAsFirstHash]
.assign(reinterpret_cast<const char*>(&identity_as_first_hash_),
sizeof(identity_as_first_hash_));
properties_
.user_collected_properties[CuckooTablePropertyNames::kUseModuleHash]
.assign(reinterpret_cast<const char*>(&use_module_hash_),
sizeof(use_module_hash_));
uint32_t user_key_len = static_cast<uint32_t>(smallest_user_key_.size());
properties_
.user_collected_properties[CuckooTablePropertyNames::kUserKeyLength]
.assign(reinterpret_cast<const char*>(&user_key_len),
sizeof(user_key_len));
// Write meta blocks.
MetaIndexBuilder meta_index_builder;
PropertyBlockBuilder property_block_builder;
property_block_builder.AddTableProperty(properties_);
property_block_builder.Add(properties_.user_collected_properties);
Slice property_block = property_block_builder.Finish();
BlockHandle property_block_handle;
property_block_handle.set_offset(offset);
property_block_handle.set_size(property_block.size());
io_status_ = file_->Append(property_block);
offset += property_block.size();
if (!io_status_.ok()) {
status_ = io_status_;
return status_;
}
meta_index_builder.Add(kPropertiesBlockName, property_block_handle);
Slice meta_index_block = meta_index_builder.Finish();
BlockHandle meta_index_block_handle;
meta_index_block_handle.set_offset(offset);
meta_index_block_handle.set_size(meta_index_block.size());
io_status_ = file_->Append(meta_index_block);
if (!io_status_.ok()) {
status_ = io_status_;
return status_;
}
FooterBuilder footer;
Status s = footer.Build(kCuckooTableMagicNumber, /* format_version */ 1,
offset, kNoChecksum, meta_index_block_handle);
if (!s.ok()) {
status_ = s;
return status_;
}
io_status_ = file_->Append(footer.GetSlice());
status_ = io_status_;
return status_;
}
void CuckooTableBuilder::Abandon() {
assert(!closed_);
closed_ = true;
}
uint64_t CuckooTableBuilder::NumEntries() const { return num_entries_; }
uint64_t CuckooTableBuilder::FileSize() const {
if (closed_) {
return file_->GetFileSize();
} else if (num_entries_ == 0) {
return 0;
}
if (use_module_hash_) {
return static_cast<uint64_t>((key_size_ + value_size_) * num_entries_ /
max_hash_table_ratio_);
} else {
// Account for buckets being a power of two.
// As elements are added, file size remains constant for a while and
// doubles its size. Since compaction algorithm stops adding elements
// only after it exceeds the file limit, we account for the extra element
// being added here.
uint64_t expected_hash_table_size = hash_table_size_;
if (expected_hash_table_size < (num_entries_ + 1) / max_hash_table_ratio_) {
expected_hash_table_size *= 2;
}
return (key_size_ + value_size_) * expected_hash_table_size - 1;
}
}
// This method is invoked when there is no place to insert the target key.
// It searches for a set of elements that can be moved to accommodate target
// key. The search is a BFS graph traversal with first level (hash_vals)
// being all the buckets target key could go to.
// Then, from each node (curr_node), we find all the buckets that curr_node
// could go to. They form the children of curr_node in the tree.
// We continue the traversal until we find an empty bucket, in which case, we
// move all elements along the path from first level to this empty bucket, to
// make space for target key which is inserted at first level (*bucket_id).
// If tree depth exceedes max depth, we return false indicating failure.
bool CuckooTableBuilder::MakeSpaceForKey(
const autovector<uint64_t>& hash_vals,
const uint32_t make_space_for_key_call_id,
std::vector<CuckooBucket>* buckets, uint64_t* bucket_id) {
struct CuckooNode {
uint64_t bucket_id;
uint32_t depth;
uint32_t parent_pos;
CuckooNode(uint64_t _bucket_id, uint32_t _depth, int _parent_pos)
: bucket_id(_bucket_id), depth(_depth), parent_pos(_parent_pos) {}
};
// This is BFS search tree that is stored simply as a vector.
// Each node stores the index of parent node in the vector.
std::vector<CuckooNode> tree;
// We want to identify already visited buckets in the current method call so
// that we don't add same buckets again for exploration in the tree.
// We do this by maintaining a count of current method call in
// make_space_for_key_call_id, which acts as a unique id for this invocation
// of the method. We store this number into the nodes that we explore in
// current method call.
// It is unlikely for the increment operation to overflow because the maximum
// no. of times this will be called is <= max_num_hash_func_ + num_entries_.
for (uint32_t hash_cnt = 0; hash_cnt < num_hash_func_; ++hash_cnt) {
uint64_t bid = hash_vals[hash_cnt];
(*buckets)[static_cast<size_t>(bid)].make_space_for_key_call_id =
make_space_for_key_call_id;
tree.push_back(CuckooNode(bid, 0, 0));
}
bool null_found = false;
uint32_t curr_pos = 0;
while (!null_found && curr_pos < tree.size()) {
CuckooNode& curr_node = tree[curr_pos];
uint32_t curr_depth = curr_node.depth;
if (curr_depth >= max_search_depth_) {
break;
}
CuckooBucket& curr_bucket =
(*buckets)[static_cast<size_t>(curr_node.bucket_id)];
for (uint32_t hash_cnt = 0; hash_cnt < num_hash_func_ && !null_found;
++hash_cnt) {
uint64_t child_bucket_id = CuckooHash(
GetUserKey(curr_bucket.vector_idx), hash_cnt, use_module_hash_,
hash_table_size_, identity_as_first_hash_, get_slice_hash_);
// Iterate inside Cuckoo Block.
for (uint32_t block_idx = 0; block_idx < cuckoo_block_size_;
++block_idx, ++child_bucket_id) {
if ((*buckets)[static_cast<size_t>(child_bucket_id)]
.make_space_for_key_call_id == make_space_for_key_call_id) {
continue;
}
(*buckets)[static_cast<size_t>(child_bucket_id)]
.make_space_for_key_call_id = make_space_for_key_call_id;
tree.push_back(CuckooNode(child_bucket_id, curr_depth + 1, curr_pos));
if ((*buckets)[static_cast<size_t>(child_bucket_id)].vector_idx ==
kMaxVectorIdx) {
null_found = true;
break;
}
}
}
++curr_pos;
}
if (null_found) {
// There is an empty node in tree.back(). Now, traverse the path from this
// empty node to top of the tree and at every node in the path, replace
// child with the parent. Stop when first level is reached in the tree
// (happens when 0 <= bucket_to_replace_pos < num_hash_func_) and return
// this location in first level for target key to be inserted.
uint32_t bucket_to_replace_pos = static_cast<uint32_t>(tree.size()) - 1;
while (bucket_to_replace_pos >= num_hash_func_) {
CuckooNode& curr_node = tree[bucket_to_replace_pos];
(*buckets)[static_cast<size_t>(curr_node.bucket_id)] =
(*buckets)[static_cast<size_t>(tree[curr_node.parent_pos].bucket_id)];
bucket_to_replace_pos = curr_node.parent_pos;
}
*bucket_id = tree[bucket_to_replace_pos].bucket_id;
}
return null_found;
}
std::string CuckooTableBuilder::GetFileChecksum() const {
if (file_ != nullptr) {
return file_->GetFileChecksum();
} else {
return kUnknownFileChecksum;
}
}
const char* CuckooTableBuilder::GetFileChecksumFuncName() const {
if (file_ != nullptr) {
return file_->GetFileChecksumFuncName();
} else {
return kUnknownFileChecksumFuncName;
}
}
} // namespace ROCKSDB_NAMESPACE