rocksdb/table/block_based/block_based_table_reader_test.cc
Hui Xiao 49623f9c8e Account memory of big memory users in BlockBasedTable in global memory limit (#9748)
Summary:
**Context:**
Through heap profiling, we discovered that `BlockBasedTableReader` objects can accumulate and lead to high memory usage (e.g, `max_open_file = -1`). These memories are currently not saved, not tracked, not constrained and not cache evict-able. As a first step to improve this, similar to https://github.com/facebook/rocksdb/pull/8428,  this PR is to track an estimate of `BlockBasedTableReader` object's memory in block cache and fail future creation if the memory usage exceeds the available space of cache at the time of creation.

**Summary:**
- Approximate big memory users  (`BlockBasedTable::Rep` and `TableProperties` )' memory usage in addition to the existing estimated ones (filter block/index block/un-compression dictionary)
- Charge all of these memory usages to block cache on `BlockBasedTable::Open()` and release them on `~BlockBasedTable()` as there is no memory usage fluctuation of concern in between
- Refactor on CacheReservationManager (and its call-sites) to add concurrent support for BlockBasedTable  used in this PR.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/9748

Test Plan:
- New unit tests
- db bench: `OpenDb` : **-0.52% in ms**
  - Setup `./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -write_buffer_size=1048576`
  - Repeated run with pre-change w/o feature and post-change with feature, benchmark `OpenDb`:  `./db_bench -benchmarks=readrandom -use_existing_db=1 -db=/dev/shm/testdb -reserve_table_reader_memory=true (remove this when running w/o feature) -file_opening_threads=3 -open_files=-1 -report_open_timing=true| egrep 'OpenDb:'`

#-run | (feature-off) avg milliseconds | std milliseconds | (feature-on) avg milliseconds | std milliseconds | change (%)
-- | -- | -- | -- | -- | --
10 | 11.4018 | 5.95173 | 9.47788 | 1.57538 | -16.87382694
20 | 9.23746 | 0.841053 | 9.32377 | 1.14074 | 0.9343477536
40 | 9.0876 | 0.671129 | 9.35053 | 1.11713 | 2.893283155
80 | 9.72514 | 2.28459 | 9.52013 | 1.0894 | -2.108041632
160 | 9.74677 | 0.991234 | 9.84743 | 1.73396 | 1.032752389
320 | 10.7297 | 5.11555 | 10.547 | 1.97692 | **-1.70275031**
640 | 11.7092 | 2.36565 | 11.7869 | 2.69377 | **0.6635807741**

-  db bench on write with cost to cache in WriteBufferManager (just in case this PR's CRM refactoring accidentally slows down anything in WBM) : `fillseq` : **+0.54% in micros/op**
`./db_bench -benchmarks=fillseq -db=/dev/shm/testdb -disable_auto_compactions=1 -cost_write_buffer_to_cache=true -write_buffer_size=10000000000 | egrep 'fillseq'`

#-run | (pre-PR) avg micros/op | std micros/op | (post-PR)  avg micros/op | std micros/op | change (%)
-- | -- | -- | -- | -- | --
10 | 6.15 | 0.260187 | 6.289 | 0.371192 | 2.260162602
20 | 7.28025 | 0.465402 | 7.37255 | 0.451256 | 1.267813605
40 | 7.06312 | 0.490654 | 7.13803 | 0.478676 | **1.060579461**
80 | 7.14035 | 0.972831 | 7.14196 | 0.92971 | **0.02254791432**

-  filter bench: `bloom filter`: **-0.78% in ms/key**
    - ` ./filter_bench -impl=2 -quick -reserve_table_builder_memory=true | grep 'Build avg'`

#-run | (pre-PR) avg ns/key | std ns/key | (post-PR)  ns/key | std ns/key | change (%)
-- | -- | -- | -- | -- | --
10 | 26.4369 | 0.442182 | 26.3273 | 0.422919 | **-0.4145720565**
20 | 26.4451 | 0.592787 | 26.1419 | 0.62451 | **-1.1465262**

- Crash test `python3 tools/db_crashtest.py blackbox --reserve_table_reader_memory=1 --cache_size=1` killed as normal

Reviewed By: ajkr

Differential Revision: D35136549

Pulled By: hx235

fbshipit-source-id: 146978858d0f900f43f4eb09bfd3e83195e3be28
2022-04-06 10:33:00 -07:00

586 lines
22 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/block_based/block_based_table_reader.h"
#include <memory>
#include <string>
#include "cache/cache_reservation_manager.h"
#include "db/db_test_util.h"
#include "db/table_properties_collector.h"
#include "file/file_util.h"
#include "options/options_helper.h"
#include "port/port.h"
#include "port/stack_trace.h"
#include "rocksdb/compression_type.h"
#include "rocksdb/db.h"
#include "rocksdb/file_system.h"
#include "table/block_based/block_based_table_builder.h"
#include "table/block_based/block_based_table_factory.h"
#include "table/block_based/partitioned_index_iterator.h"
#include "table/format.h"
#include "test_util/testharness.h"
#include "test_util/testutil.h"
#include "util/random.h"
namespace ROCKSDB_NAMESPACE {
class BlockBasedTableReaderBaseTest : public testing::Test {
protected:
// Prepare key-value pairs to occupy multiple blocks.
// Each value is 256B, every 16 pairs constitute 1 block.
// If mixed_with_human_readable_string_value == true,
// then adjacent blocks contain values with different compression
// complexity: human readable strings are easier to compress than random
// strings.
static std::map<std::string, std::string> GenerateKVMap(
int num_block = 100,
bool mixed_with_human_readable_string_value = false) {
std::map<std::string, std::string> kv;
Random rnd(101);
uint32_t key = 0;
for (int block = 0; block < num_block; block++) {
for (int i = 0; i < 16; i++) {
char k[9] = {0};
// Internal key is constructed directly from this key,
// and internal key size is required to be >= 8 bytes,
// so use %08u as the format string.
sprintf(k, "%08u", key);
std::string v;
if (mixed_with_human_readable_string_value) {
v = (block % 2) ? rnd.HumanReadableString(256)
: rnd.RandomString(256);
} else {
v = rnd.RandomString(256);
}
kv[std::string(k)] = v;
key++;
}
}
return kv;
}
void SetUp() override {
SetupSyncPointsToMockDirectIO();
test_dir_ = test::PerThreadDBPath("block_based_table_reader_test");
env_ = Env::Default();
fs_ = FileSystem::Default();
ASSERT_OK(fs_->CreateDir(test_dir_, IOOptions(), nullptr));
ConfigureTableFactory();
}
virtual void ConfigureTableFactory() = 0;
void TearDown() override { EXPECT_OK(DestroyDir(env_, test_dir_)); }
// Creates a table with the specificied key value pairs (kv).
void CreateTable(const std::string& table_name,
const CompressionType& compression_type,
const std::map<std::string, std::string>& kv) {
std::unique_ptr<WritableFileWriter> writer;
NewFileWriter(table_name, &writer);
// Create table builder.
ImmutableOptions ioptions(options_);
InternalKeyComparator comparator(options_.comparator);
ColumnFamilyOptions cf_options;
MutableCFOptions moptions(cf_options);
IntTblPropCollectorFactories factories;
std::unique_ptr<TableBuilder> table_builder(
options_.table_factory->NewTableBuilder(
TableBuilderOptions(ioptions, moptions, comparator, &factories,
compression_type, CompressionOptions(),
0 /* column_family_id */,
kDefaultColumnFamilyName, -1 /* level */),
writer.get()));
// Build table.
for (auto it = kv.begin(); it != kv.end(); it++) {
std::string k = ToInternalKey(it->first);
std::string v = it->second;
table_builder->Add(k, v);
}
ASSERT_OK(table_builder->Finish());
}
void NewBlockBasedTableReader(const FileOptions& foptions,
const ImmutableOptions& ioptions,
const InternalKeyComparator& comparator,
const std::string& table_name,
std::unique_ptr<BlockBasedTable>* table,
bool prefetch_index_and_filter_in_cache = true,
Status* status = nullptr) {
const MutableCFOptions moptions(options_);
TableReaderOptions table_reader_options = TableReaderOptions(
ioptions, moptions.prefix_extractor, EnvOptions(), comparator);
std::unique_ptr<RandomAccessFileReader> file;
NewFileReader(table_name, foptions, &file);
uint64_t file_size = 0;
ASSERT_OK(env_->GetFileSize(Path(table_name), &file_size));
std::unique_ptr<TableReader> general_table;
Status s = options_.table_factory->NewTableReader(
ReadOptions(), table_reader_options, std::move(file), file_size,
&general_table, prefetch_index_and_filter_in_cache);
if (s.ok()) {
table->reset(reinterpret_cast<BlockBasedTable*>(general_table.release()));
}
if (status) {
*status = s;
}
}
std::string Path(const std::string& fname) { return test_dir_ + "/" + fname; }
std::string test_dir_;
Env* env_;
std::shared_ptr<FileSystem> fs_;
Options options_;
private:
void WriteToFile(const std::string& content, const std::string& filename) {
std::unique_ptr<FSWritableFile> f;
ASSERT_OK(fs_->NewWritableFile(Path(filename), FileOptions(), &f, nullptr));
ASSERT_OK(f->Append(content, IOOptions(), nullptr));
ASSERT_OK(f->Close(IOOptions(), nullptr));
}
void NewFileWriter(const std::string& filename,
std::unique_ptr<WritableFileWriter>* writer) {
std::string path = Path(filename);
EnvOptions env_options;
FileOptions foptions;
std::unique_ptr<FSWritableFile> file;
ASSERT_OK(fs_->NewWritableFile(path, foptions, &file, nullptr));
writer->reset(new WritableFileWriter(std::move(file), path, env_options));
}
void NewFileReader(const std::string& filename, const FileOptions& opt,
std::unique_ptr<RandomAccessFileReader>* reader) {
std::string path = Path(filename);
std::unique_ptr<FSRandomAccessFile> f;
ASSERT_OK(fs_->NewRandomAccessFile(path, opt, &f, nullptr));
reader->reset(new RandomAccessFileReader(std::move(f), path,
env_->GetSystemClock().get()));
}
std::string ToInternalKey(const std::string& key) {
InternalKey internal_key(key, 0, ValueType::kTypeValue);
return internal_key.Encode().ToString();
}
};
class BlockBasedTableReaderTest
: public BlockBasedTableReaderBaseTest,
public testing::WithParamInterface<std::tuple<
CompressionType, bool, BlockBasedTableOptions::IndexType, bool>> {
protected:
void SetUp() override {
compression_type_ = std::get<0>(GetParam());
use_direct_reads_ = std::get<1>(GetParam());
BlockBasedTableReaderBaseTest::SetUp();
}
void ConfigureTableFactory() override {
BlockBasedTableOptions opts;
opts.index_type = std::get<2>(GetParam());
opts.no_block_cache = std::get<3>(GetParam());
options_.table_factory.reset(
static_cast<BlockBasedTableFactory*>(NewBlockBasedTableFactory(opts)));
}
CompressionType compression_type_;
bool use_direct_reads_;
};
// Tests MultiGet in both direct IO and non-direct IO mode.
// The keys should be in cache after MultiGet.
TEST_P(BlockBasedTableReaderTest, MultiGet) {
std::map<std::string, std::string> kv =
BlockBasedTableReaderBaseTest::GenerateKVMap(
100 /* num_block */,
true /* mixed_with_human_readable_string_value */);
// Prepare keys, values, and statuses for MultiGet.
autovector<Slice, MultiGetContext::MAX_BATCH_SIZE> keys;
autovector<PinnableSlice, MultiGetContext::MAX_BATCH_SIZE> values;
autovector<Status, MultiGetContext::MAX_BATCH_SIZE> statuses;
{
const int step =
static_cast<int>(kv.size()) / MultiGetContext::MAX_BATCH_SIZE;
auto it = kv.begin();
for (int i = 0; i < MultiGetContext::MAX_BATCH_SIZE; i++) {
keys.emplace_back(it->first);
values.emplace_back();
statuses.emplace_back();
std::advance(it, step);
}
}
std::string table_name =
"BlockBasedTableReaderTest" + CompressionTypeToString(compression_type_);
CreateTable(table_name, compression_type_, kv);
std::unique_ptr<BlockBasedTable> table;
Options options;
ImmutableOptions ioptions(options);
FileOptions foptions;
foptions.use_direct_reads = use_direct_reads_;
InternalKeyComparator comparator(options.comparator);
NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
// Ensure that keys are not in cache before MultiGet.
for (auto& key : keys) {
ASSERT_FALSE(table->TEST_KeyInCache(ReadOptions(), key));
}
// Prepare MultiGetContext.
autovector<GetContext, MultiGetContext::MAX_BATCH_SIZE> get_context;
autovector<KeyContext, MultiGetContext::MAX_BATCH_SIZE> key_context;
autovector<KeyContext*, MultiGetContext::MAX_BATCH_SIZE> sorted_keys;
for (size_t i = 0; i < keys.size(); ++i) {
get_context.emplace_back(
BytewiseComparator(), nullptr, nullptr, nullptr, GetContext::kNotFound,
keys[i], &values[i], nullptr, nullptr, nullptr, true /* do_merge */,
nullptr, nullptr, nullptr, nullptr, nullptr, nullptr);
key_context.emplace_back(nullptr, keys[i], &values[i], nullptr,
&statuses.back());
key_context.back().get_context = &get_context.back();
}
for (auto& key_ctx : key_context) {
sorted_keys.emplace_back(&key_ctx);
}
MultiGetContext ctx(&sorted_keys, 0, sorted_keys.size(), 0, ReadOptions());
// Execute MultiGet.
MultiGetContext::Range range = ctx.GetMultiGetRange();
PerfContext* perf_ctx = get_perf_context();
perf_ctx->Reset();
table->MultiGet(ReadOptions(), &range, nullptr);
ASSERT_GE(perf_ctx->block_read_count - perf_ctx->index_block_read_count -
perf_ctx->filter_block_read_count -
perf_ctx->compression_dict_block_read_count,
1);
ASSERT_GE(perf_ctx->block_read_byte, 1);
for (const Status& status : statuses) {
ASSERT_OK(status);
}
// Check that keys are in cache after MultiGet.
for (size_t i = 0; i < keys.size(); i++) {
ASSERT_TRUE(table->TEST_KeyInCache(ReadOptions(), keys[i]));
ASSERT_EQ(values[i].ToString(), kv[keys[i].ToString()]);
}
}
class BlockBasedTableReaderResOnlyCache : public CacheWrapper {
public:
explicit BlockBasedTableReaderResOnlyCache(std::shared_ptr<Cache> target)
: CacheWrapper(std::move(target)) {}
using Cache::Insert;
Status Insert(const Slice& key, void* value, size_t charge,
void (*deleter)(const Slice& key, void* value),
Handle** handle = nullptr,
Priority priority = Priority::LOW) override {
if (deleter == kNoopDeleterForBlockBasedTableReader) {
return target_->Insert(key, value, charge, deleter, handle, priority);
} else {
return Status::OK();
}
}
using Cache::Release;
bool Release(Handle* handle, bool force_erase = false) override {
auto deleter = GetDeleter(handle);
if (deleter == kNoopDeleterForBlockBasedTableReader) {
return target_->Release(handle, force_erase);
} else {
return true;
}
}
private:
static const Cache::DeleterFn kNoopDeleterForBlockBasedTableReader;
};
const Cache::DeleterFn
BlockBasedTableReaderResOnlyCache::kNoopDeleterForBlockBasedTableReader =
CacheReservationManagerImpl<CacheEntryRole::kBlockBasedTableReader>::
TEST_GetNoopDeleterForRole();
class BlockBasedTableReaderCapMemoryTest
: public BlockBasedTableReaderBaseTest,
public testing::WithParamInterface<
bool /* reserve_table_builder_memory */> {
protected:
static std::size_t CalculateMaxTableReaderNumBeforeCacheFull(
std::size_t cache_capacity, std::size_t approx_table_reader_mem) {
// To make calculation easier for testing
assert(cache_capacity % CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>::
GetDummyEntrySize() ==
0 &&
cache_capacity > 2 * CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>::
GetDummyEntrySize());
// We need to subtract 1 for max_num_dummy_entry to account for dummy
// entries' overhead, assumed the overhead is no greater than 1 dummy entry
// size
std::size_t max_num_dummy_entry =
(size_t)std::floor((
1.0 * cache_capacity /
CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>::GetDummyEntrySize())) -
1;
std::size_t cache_capacity_rounded_to_dummy_entry_multiples =
max_num_dummy_entry *
CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>::GetDummyEntrySize();
std::size_t max_table_reader_num = static_cast<std::size_t>(
std::floor(1.0 * cache_capacity_rounded_to_dummy_entry_multiples /
approx_table_reader_mem));
return max_table_reader_num;
}
void SetUp() override {
// To cache and re-use the same kv map and compression type in the test
// suite for elimiating variance caused by these two factors
kv_ = BlockBasedTableReaderBaseTest::GenerateKVMap();
compression_type_ = CompressionType::kNoCompression;
table_reader_res_only_cache_.reset(new BlockBasedTableReaderResOnlyCache(
NewLRUCache(6 * CacheReservationManagerImpl<
CacheEntryRole::kBlockBasedTableReader>::
GetDummyEntrySize(),
0 /* num_shard_bits */, true /* strict_capacity_limit */)));
// To ApproximateTableReaderMem() without encountering any potential errors
// caused by BlocBasedTableReader::reserve_table_reader_memory == true, we
// first turn off the feature to test
reserve_table_reader_memory_ = false;
BlockBasedTableReaderBaseTest::SetUp();
approx_table_reader_mem_ = ApproximateTableReaderMem();
// Now we condtionally turn on the feature to test
reserve_table_reader_memory_ = GetParam();
ConfigureTableFactory();
}
void ConfigureTableFactory() override {
BlockBasedTableOptions table_options;
table_options.reserve_table_reader_memory = reserve_table_reader_memory_;
table_options.block_cache = table_reader_res_only_cache_;
table_options.cache_index_and_filter_blocks = false;
table_options.filter_policy.reset(NewBloomFilterPolicy(10, false));
table_options.partition_filters = true;
table_options.index_type = BlockBasedTableOptions::kTwoLevelIndexSearch;
options_.table_factory.reset(NewBlockBasedTableFactory(table_options));
}
bool reserve_table_reader_memory_;
std::shared_ptr<BlockBasedTableReaderResOnlyCache>
table_reader_res_only_cache_;
std::size_t approx_table_reader_mem_;
std::map<std::string, std::string> kv_;
CompressionType compression_type_;
private:
std::size_t ApproximateTableReaderMem() {
std::size_t approx_table_reader_mem = 0;
std::string table_name = "table_for_approx_table_reader_mem";
CreateTable(table_name, compression_type_, kv_);
std::unique_ptr<BlockBasedTable> table;
Status s;
NewBlockBasedTableReader(
FileOptions(), ImmutableOptions(options_),
InternalKeyComparator(options_.comparator), table_name, &table,
false /* prefetch_index_and_filter_in_cache */, &s);
assert(s.ok());
approx_table_reader_mem = table->ApproximateMemoryUsage();
assert(approx_table_reader_mem > 0);
return approx_table_reader_mem;
}
};
INSTANTIATE_TEST_CASE_P(CapMemoryUsageUnderCacheCapacity,
BlockBasedTableReaderCapMemoryTest, ::testing::Bool());
TEST_P(BlockBasedTableReaderCapMemoryTest, CapMemoryUsageUnderCacheCapacity) {
const std::size_t max_table_reader_num = BlockBasedTableReaderCapMemoryTest::
CalculateMaxTableReaderNumBeforeCacheFull(
table_reader_res_only_cache_->GetCapacity(),
approx_table_reader_mem_);
Status s = Status::OK();
std::size_t opened_table_reader_num = 0;
std::string table_name;
std::vector<std::unique_ptr<BlockBasedTable>> tables;
// Keep creating BlockBasedTableReader till hiting the memory limit based on
// cache capacity and creation fails or reaching a big number of table readers
while (s.ok() && opened_table_reader_num < 2 * max_table_reader_num) {
table_name = "table_" + std::to_string(opened_table_reader_num);
CreateTable(table_name, compression_type_, kv_);
tables.push_back(std::unique_ptr<BlockBasedTable>());
NewBlockBasedTableReader(
FileOptions(), ImmutableOptions(options_),
InternalKeyComparator(options_.comparator), table_name, &tables.back(),
false /* prefetch_index_and_filter_in_cache */, &s);
if (s.ok()) {
++opened_table_reader_num;
}
}
if (reserve_table_reader_memory_) {
EXPECT_TRUE(s.IsMemoryLimit() &&
opened_table_reader_num < 2 * max_table_reader_num)
<< "s: " << s.ToString() << " opened_table_reader_num: "
<< std::to_string(opened_table_reader_num);
EXPECT_TRUE(s.ToString().find("memory limit based on cache capacity") !=
std::string::npos);
// Acceptable estimtation errors coming from
// 1. overstimate max_table_reader_num due to # dummy entries is high and
// results in metadata charge overhead greater than 1 dummy entry size
// (violating our assumption in calculating max_table_reader_nums)
// 2. overestimate/underestimate max_table_reader_num due to the gap between
// ApproximateTableReaderMem() and actual table reader mem
EXPECT_GE(opened_table_reader_num, max_table_reader_num * 0.99);
EXPECT_LE(opened_table_reader_num, max_table_reader_num * 1.01);
std::size_t updated_max_table_reader_num =
BlockBasedTableReaderCapMemoryTest::
CalculateMaxTableReaderNumBeforeCacheFull(
table_reader_res_only_cache_->GetCapacity() / 2,
approx_table_reader_mem_);
// Keep deleting BlockBasedTableReader to lower down memory usage from the
// memory limit to make the next creation succeeds
while (opened_table_reader_num >= updated_max_table_reader_num) {
tables.pop_back();
--opened_table_reader_num;
}
table_name = "table_for_successful_table_reader_open";
CreateTable(table_name, compression_type_, kv_);
tables.push_back(std::unique_ptr<BlockBasedTable>());
NewBlockBasedTableReader(
FileOptions(), ImmutableOptions(options_),
InternalKeyComparator(options_.comparator), table_name, &tables.back(),
false /* prefetch_index_and_filter_in_cache */, &s);
EXPECT_TRUE(s.ok()) << s.ToString();
tables.clear();
EXPECT_EQ(table_reader_res_only_cache_->GetPinnedUsage(), 0);
} else {
EXPECT_TRUE(s.ok() && opened_table_reader_num == 2 * max_table_reader_num)
<< "s: " << s.ToString() << " opened_table_reader_num: "
<< std::to_string(opened_table_reader_num);
EXPECT_EQ(table_reader_res_only_cache_->GetPinnedUsage(), 0);
}
}
class BlockBasedTableReaderTestVerifyChecksum
: public BlockBasedTableReaderTest {
public:
BlockBasedTableReaderTestVerifyChecksum() : BlockBasedTableReaderTest() {}
};
TEST_P(BlockBasedTableReaderTestVerifyChecksum, ChecksumMismatch) {
std::map<std::string, std::string> kv =
BlockBasedTableReaderBaseTest::GenerateKVMap(800 /* num_block */);
std::string table_name =
"BlockBasedTableReaderTest" + CompressionTypeToString(compression_type_);
CreateTable(table_name, compression_type_, kv);
std::unique_ptr<BlockBasedTable> table;
Options options;
ImmutableOptions ioptions(options);
FileOptions foptions;
foptions.use_direct_reads = use_direct_reads_;
InternalKeyComparator comparator(options.comparator);
NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
// Use the top level iterator to find the offset/size of the first
// 2nd level index block and corrupt the block
IndexBlockIter iiter_on_stack;
BlockCacheLookupContext context{TableReaderCaller::kUserVerifyChecksum};
InternalIteratorBase<IndexValue>* iiter = table->NewIndexIterator(
ReadOptions(), /*disable_prefix_seek=*/false, &iiter_on_stack,
/*get_context=*/nullptr, &context);
std::unique_ptr<InternalIteratorBase<IndexValue>> iiter_unique_ptr;
if (iiter != &iiter_on_stack) {
iiter_unique_ptr = std::unique_ptr<InternalIteratorBase<IndexValue>>(iiter);
}
ASSERT_OK(iiter->status());
iiter->SeekToFirst();
BlockHandle handle = static_cast<PartitionedIndexIterator*>(iiter)
->index_iter_->value()
.handle;
table.reset();
// Corrupt the block pointed to by handle
ASSERT_OK(test::CorruptFile(options.env, Path(table_name),
static_cast<int>(handle.offset()), 128));
NewBlockBasedTableReader(foptions, ioptions, comparator, table_name, &table);
Status s = table->VerifyChecksum(ReadOptions(),
TableReaderCaller::kUserVerifyChecksum);
ASSERT_EQ(s.code(), Status::kCorruption);
}
// Param 1: compression type
// Param 2: whether to use direct reads
// Param 3: Block Based Table Index type
// Param 4: BBTO no_block_cache option
#ifdef ROCKSDB_LITE
// Skip direct I/O tests in lite mode since direct I/O is unsupported.
INSTANTIATE_TEST_CASE_P(
MultiGet, BlockBasedTableReaderTest,
::testing::Combine(
::testing::ValuesIn(GetSupportedCompressions()),
::testing::Values(false),
::testing::Values(BlockBasedTableOptions::IndexType::kBinarySearch),
::testing::Values(false)));
#else // ROCKSDB_LITE
INSTANTIATE_TEST_CASE_P(
MultiGet, BlockBasedTableReaderTest,
::testing::Combine(
::testing::ValuesIn(GetSupportedCompressions()), ::testing::Bool(),
::testing::Values(BlockBasedTableOptions::IndexType::kBinarySearch),
::testing::Values(false)));
#endif // ROCKSDB_LITE
INSTANTIATE_TEST_CASE_P(
VerifyChecksum, BlockBasedTableReaderTestVerifyChecksum,
::testing::Combine(
::testing::ValuesIn(GetSupportedCompressions()),
::testing::Values(false),
::testing::Values(
BlockBasedTableOptions::IndexType::kTwoLevelIndexSearch),
::testing::Values(true)));
} // namespace ROCKSDB_NAMESPACE
int main(int argc, char** argv) {
ROCKSDB_NAMESPACE::port::InstallStackTraceHandler();
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}