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This commit is contained in:
Praveen Rao 2016-03-22 12:07:15 -07:00
parent 7d371863e5
commit 2dcbb3b4f3
3 changed files with 586 additions and 571 deletions
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564
db/db_test.cc
View file

@ -10225,570 +10225,6 @@ TEST_F(DBTest, PauseBackgroundWorkTest) {
ASSERT_EQ(true, done.load()); ASSERT_EQ(true, done.load());
} }
#ifndef ROCKSDB_LITE
namespace {
void ValidateKeyExistence(DB* db, const std::vector<Slice>& keys_must_exist,
const std::vector<Slice>& keys_must_not_exist) {
// Ensure that expected keys exist
std::vector<std::string> values;
if (keys_must_exist.size() > 0) {
std::vector<Status> status_list =
db->MultiGet(ReadOptions(), keys_must_exist, &values);
for (size_t i = 0; i < keys_must_exist.size(); i++) {
ASSERT_OK(status_list[i]);
}
}
// Ensure that given keys don't exist
if (keys_must_not_exist.size() > 0) {
std::vector<Status> status_list =
db->MultiGet(ReadOptions(), keys_must_not_exist, &values);
for (size_t i = 0; i < keys_must_not_exist.size(); i++) {
ASSERT_TRUE(status_list[i].IsNotFound());
}
}
}
} // namespace
TEST_F(DBTest, WalFilterTest) {
class TestWalFilter : public WalFilter {
private:
// Processing option that is requested to be applied at the given index
WalFilter::WalProcessingOption wal_processing_option_;
// Index at which to apply wal_processing_option_
// At other indexes default wal_processing_option::kContinueProcessing is
// returned.
size_t apply_option_at_record_index_;
// Current record index, incremented with each record encountered.
size_t current_record_index_;
public:
TestWalFilter(WalFilter::WalProcessingOption wal_processing_option,
size_t apply_option_for_record_index)
: wal_processing_option_(wal_processing_option),
apply_option_at_record_index_(apply_option_for_record_index),
current_record_index_(0) {}
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
WalFilter::WalProcessingOption option_to_return;
if (current_record_index_ == apply_option_at_record_index_) {
option_to_return = wal_processing_option_;
} else {
option_to_return = WalProcessingOption::kContinueProcessing;
}
// Filter is passed as a const object for RocksDB to not modify the
// object, however we modify it for our own purpose here and hence
// cast the constness away.
(const_cast<TestWalFilter*>(this)->current_record_index_)++;
return option_to_return;
}
virtual const char* Name() const override { return "TestWalFilter"; }
};
// Create 3 batches with two keys each
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
// Test with all WAL processing options
for (int option = 0;
option < static_cast<int>(
WalFilter::WalProcessingOption::kWalProcessingOptionMax);
option++) {
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({"pikachu"}, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
WalFilter::WalProcessingOption wal_processing_option =
static_cast<WalFilter::WalProcessingOption>(option);
// Create a test filter that would apply wal_processing_option at the first
// record
size_t apply_option_for_record_index = 1;
TestWalFilter test_wal_filter(wal_processing_option,
apply_option_for_record_index);
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter;
Status status =
TryReopenWithColumnFamilies({"default", "pikachu"}, options);
if (wal_processing_option ==
WalFilter::WalProcessingOption::kCorruptedRecord) {
assert(!status.ok());
// In case of corruption we can turn off paranoid_checks to reopen
// databse
options.paranoid_checks = false;
ReopenWithColumnFamilies({"default", "pikachu"}, options);
} else {
assert(status.ok());
}
// Compute which keys we expect to be found
// and which we expect not to be found after recovery.
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist;
switch (wal_processing_option) {
case WalFilter::WalProcessingOption::kCorruptedRecord:
case WalFilter::WalProcessingOption::kContinueProcessing: {
fprintf(stderr, "Testing with complete WAL processing\n");
// we expect all records to be processed
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
break;
}
case WalFilter::WalProcessingOption::kIgnoreCurrentRecord: {
fprintf(stderr,
"Testing with ignoring record %" ROCKSDB_PRIszt " only\n",
apply_option_for_record_index);
// We expect the record with apply_option_for_record_index to be not
// found.
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i == apply_option_for_record_index) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
} else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
break;
}
case WalFilter::WalProcessingOption::kStopReplay: {
fprintf(stderr,
"Testing with stopping replay from record %" ROCKSDB_PRIszt
"\n",
apply_option_for_record_index);
// We expect records beyond apply_option_for_record_index to be not
// found.
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i >= apply_option_for_record_index) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
} else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
break;
}
default:
assert(false); // unhandled case
}
bool checked_after_reopen = false;
while (true) {
// Ensure that expected keys exists
// and not expected keys don't exist after recovery
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
if (checked_after_reopen) {
break;
}
// reopen database again to make sure previous log(s) are not used
//(even if they were skipped)
// reopn database with option to use WAL filter
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({"default", "pikachu"}, options);
checked_after_reopen = true;
}
}
}
TEST_F(DBTest, WalFilterTestWithChangeBatch) {
class ChangeBatchHandler : public WriteBatch::Handler {
private:
// Batch to insert keys in
WriteBatch* new_write_batch_;
// Number of keys to add in the new batch
size_t num_keys_to_add_in_new_batch_;
// Number of keys added to new batch
size_t num_keys_added_;
public:
ChangeBatchHandler(WriteBatch* new_write_batch,
size_t num_keys_to_add_in_new_batch)
: new_write_batch_(new_write_batch),
num_keys_to_add_in_new_batch_(num_keys_to_add_in_new_batch),
num_keys_added_(0) {}
virtual void Put(const Slice& key, const Slice& value) override {
if (num_keys_added_ < num_keys_to_add_in_new_batch_) {
new_write_batch_->Put(key, value);
++num_keys_added_;
}
}
};
class TestWalFilterWithChangeBatch : public WalFilter {
private:
// Index at which to start changing records
size_t change_records_from_index_;
// Number of keys to add in the new batch
size_t num_keys_to_add_in_new_batch_;
// Current record index, incremented with each record encountered.
size_t current_record_index_;
public:
TestWalFilterWithChangeBatch(size_t change_records_from_index,
size_t num_keys_to_add_in_new_batch)
: change_records_from_index_(change_records_from_index),
num_keys_to_add_in_new_batch_(num_keys_to_add_in_new_batch),
current_record_index_(0) {}
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
if (current_record_index_ >= change_records_from_index_) {
ChangeBatchHandler handler(new_batch, num_keys_to_add_in_new_batch_);
batch.Iterate(&handler);
*batch_changed = true;
}
// Filter is passed as a const object for RocksDB to not modify the
// object, however we modify it for our own purpose here and hence
// cast the constness away.
(const_cast<TestWalFilterWithChangeBatch*>(this)
->current_record_index_)++;
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "TestWalFilterWithChangeBatch";
}
};
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({"pikachu"}, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// Create a test filter that would apply wal_processing_option at the first
// record
size_t change_records_from_index = 1;
size_t num_keys_to_add_in_new_batch = 1;
TestWalFilterWithChangeBatch test_wal_filter_with_change_batch(
change_records_from_index, num_keys_to_add_in_new_batch);
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_with_change_batch;
ReopenWithColumnFamilies({"default", "pikachu"}, options);
// Ensure that all keys exist before change_records_from_index_
// And after that index only single key exists
// as our filter adds only single key for each batch
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist;
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i >= change_records_from_index && j >= num_keys_to_add_in_new_batch) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
} else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
bool checked_after_reopen = false;
while (true) {
// Ensure that expected keys exists
// and not expected keys don't exist after recovery
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
if (checked_after_reopen) {
break;
}
// reopen database again to make sure previous log(s) are not used
//(even if they were skipped)
// reopn database with option to use WAL filter
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({"default", "pikachu"}, options);
checked_after_reopen = true;
}
}
TEST_F(DBTest, WalFilterTestWithChangeBatchExtraKeys) {
class TestWalFilterWithChangeBatchAddExtraKeys : public WalFilter {
public:
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
*new_batch = batch;
new_batch->Put("key_extra", "value_extra");
*batch_changed = true;
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "WalFilterTestWithChangeBatchExtraKeys";
}
};
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({"pikachu"}, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// Create a test filter that would add extra keys
TestWalFilterWithChangeBatchAddExtraKeys test_wal_filter_extra_keys;
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_extra_keys;
Status status = TryReopenWithColumnFamilies({"default", "pikachu"}, options);
ASSERT_TRUE(status.IsNotSupported());
// Reopen without filter, now reopen should succeed - previous
// attempt to open must not have altered the db.
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({"default", "pikachu"}, options);
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist; // empty vector
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
}
TEST_F(DBTest, WalFilterTestWithColumnFamilies) {
class TestWalFilterWithColumnFamilies : public WalFilter {
private:
// column_family_id -> log_number map (provided to WALFilter)
std::map<uint32_t, uint64_t> cf_log_number_map_;
// column_family_name -> column_family_id map (provided to WALFilter)
std::map<std::string, uint32_t> cf_name_id_map_;
// column_family_name -> keys_found_in_wal map
// We store keys that are applicable to the column_family
// during recovery (i.e. aren't already flushed to SST file(s))
// for verification against the keys we expect.
std::map<uint32_t, std::vector<std::string>> cf_wal_keys_;
public:
virtual void ColumnFamilyLogNumberMap(
const std::map<uint32_t, uint64_t>& cf_lognumber_map,
const std::map<std::string, uint32_t>& cf_name_id_map) override {
cf_log_number_map_ = cf_lognumber_map;
cf_name_id_map_ = cf_name_id_map;
}
virtual WalProcessingOption LogRecord(unsigned long long log_number,
const std::string& log_file_name,
const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) override {
class LogRecordBatchHandler : public WriteBatch::Handler {
private:
const std::map<uint32_t, uint64_t> & cf_log_number_map_;
std::map<uint32_t, std::vector<std::string>> & cf_wal_keys_;
unsigned long long log_number_;
public:
LogRecordBatchHandler(unsigned long long current_log_number,
const std::map<uint32_t, uint64_t> & cf_log_number_map,
std::map<uint32_t, std::vector<std::string>> & cf_wal_keys) :
cf_log_number_map_(cf_log_number_map),
cf_wal_keys_(cf_wal_keys),
log_number_(current_log_number){}
virtual Status PutCF(uint32_t column_family_id, const Slice& key,
const Slice& /*value*/) override {
auto it = cf_log_number_map_.find(column_family_id);
assert(it != cf_log_number_map_.end());
unsigned long long log_number_for_cf = it->second;
// If the current record is applicable for column_family_id
// (i.e. isn't flushed to SST file(s) for column_family_id)
// add it to the cf_wal_keys_ map for verification.
if (log_number_ >= log_number_for_cf) {
cf_wal_keys_[column_family_id].push_back(std::string(key.data(), key.size()));
}
return Status::OK();
}
} handler(log_number, cf_log_number_map_, cf_wal_keys_);
batch.Iterate(&handler);
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "WalFilterTestWithColumnFamilies";
}
const std::map<uint32_t, std::vector<std::string>> & GetColumnFamilyKeys() {
return cf_wal_keys_;
}
const std::map<std::string, uint32_t> & GetColumnFamilyNameIdMap() {
return cf_name_id_map_;
}
};
std::vector<std::vector<std::string>> batch_keys_pre_flush(3);
batch_keys_pre_flush[0].push_back("key1");
batch_keys_pre_flush[0].push_back("key2");
batch_keys_pre_flush[1].push_back("key3");
batch_keys_pre_flush[1].push_back("key4");
batch_keys_pre_flush[2].push_back("key5");
batch_keys_pre_flush[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys_pre_flush.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys_pre_flush[i].size(); j++) {
batch.Put(handles_[0], batch_keys_pre_flush[i][j], DummyString(1024));
batch.Put(handles_[1], batch_keys_pre_flush[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
//Flush default column-family
db_->Flush(FlushOptions(), handles_[0]);
// Do some more writes
std::vector<std::vector<std::string>> batch_keys_post_flush(3);
batch_keys_post_flush[0].push_back("key7");
batch_keys_post_flush[0].push_back("key8");
batch_keys_post_flush[1].push_back("key9");
batch_keys_post_flush[1].push_back("key10");
batch_keys_post_flush[2].push_back("key11");
batch_keys_post_flush[2].push_back("key12");
// Write given keys in given batches
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
batch.Put(handles_[0], batch_keys_post_flush[i][j], DummyString(1024));
batch.Put(handles_[1], batch_keys_post_flush[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// On Recovery we should only find the second batch applicable to default CF
// But both batches applicable to pikachu CF
// Create a test filter that would add extra keys
TestWalFilterWithColumnFamilies test_wal_filter_column_families;
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_column_families;
Status status =
TryReopenWithColumnFamilies({ "default", "pikachu" }, options);
ASSERT_TRUE(status.ok());
// verify that handles_[0] only has post_flush keys
// while handles_[1] has pre and post flush keys
auto cf_wal_keys = test_wal_filter_column_families.GetColumnFamilyKeys();
auto name_id_map = test_wal_filter_column_families.GetColumnFamilyNameIdMap();
size_t index = 0;
auto keys_cf = cf_wal_keys[name_id_map[kDefaultColumnFamilyName]];
//default column-family, only post_flush keys are expected
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_post_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
ASSERT_TRUE(index == keys_cf.size());
index = 0;
keys_cf = cf_wal_keys[name_id_map["pikachu"]];
//pikachu column-family, all keys are expected
for (size_t i = 0; i < batch_keys_pre_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_pre_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_pre_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_post_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
ASSERT_TRUE(index == keys_cf.size());
}
#endif // ROCKSDB_LITE
class SliceTransformLimitedDomain : public SliceTransform { class SliceTransformLimitedDomain : public SliceTransform {
const char* Name() const override { return "SliceTransformLimitedDomain"; } const char* Name() const override { return "SliceTransformLimitedDomain"; }

575
db/db_test2.cc
View file

@ -9,6 +9,7 @@
#include <cstdlib> #include <cstdlib>
#include "db/db_test_util.h" #include "db/db_test_util.h"
#include "port/stack_trace.h" #include "port/stack_trace.h"
#include "rocksdb/wal_filter.h"
namespace rocksdb { namespace rocksdb {
@ -77,6 +78,580 @@ TEST_F(DBTest2, CacheIndexAndFilterWithDBRestart) {
std::string value; std::string value;
value = Get(1, "a"); value = Get(1, "a");
} }
#ifndef ROCKSDB_LITE
namespace {
void ValidateKeyExistence(DB* db, const std::vector<Slice>& keys_must_exist,
const std::vector<Slice>& keys_must_not_exist) {
// Ensure that expected keys exist
std::vector<std::string> values;
if (keys_must_exist.size() > 0) {
std::vector<Status> status_list =
db->MultiGet(ReadOptions(), keys_must_exist, &values);
for (size_t i = 0; i < keys_must_exist.size(); i++) {
ASSERT_OK(status_list[i]);
}
}
// Ensure that given keys don't exist
if (keys_must_not_exist.size() > 0) {
std::vector<Status> status_list =
db->MultiGet(ReadOptions(), keys_must_not_exist, &values);
for (size_t i = 0; i < keys_must_not_exist.size(); i++) {
ASSERT_TRUE(status_list[i].IsNotFound());
}
}
}
} // namespace
TEST_F(DBTest2, WalFilterTest) {
class TestWalFilter : public WalFilter {
private:
// Processing option that is requested to be applied at the given index
WalFilter::WalProcessingOption wal_processing_option_;
// Index at which to apply wal_processing_option_
// At other indexes default wal_processing_option::kContinueProcessing is
// returned.
size_t apply_option_at_record_index_;
// Current record index, incremented with each record encountered.
size_t current_record_index_;
public:
TestWalFilter(WalFilter::WalProcessingOption wal_processing_option,
size_t apply_option_for_record_index)
: wal_processing_option_(wal_processing_option),
apply_option_at_record_index_(apply_option_for_record_index),
current_record_index_(0) {}
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
WalFilter::WalProcessingOption option_to_return;
if (current_record_index_ == apply_option_at_record_index_) {
option_to_return = wal_processing_option_;
}
else {
option_to_return = WalProcessingOption::kContinueProcessing;
}
// Filter is passed as a const object for RocksDB to not modify the
// object, however we modify it for our own purpose here and hence
// cast the constness away.
(const_cast<TestWalFilter*>(this)->current_record_index_)++;
return option_to_return;
}
virtual const char* Name() const override { return "TestWalFilter"; }
};
// Create 3 batches with two keys each
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
// Test with all WAL processing options
for (int option = 0;
option < static_cast<int>(
WalFilter::WalProcessingOption::kWalProcessingOptionMax);
option++) {
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
WalFilter::WalProcessingOption wal_processing_option =
static_cast<WalFilter::WalProcessingOption>(option);
// Create a test filter that would apply wal_processing_option at the first
// record
size_t apply_option_for_record_index = 1;
TestWalFilter test_wal_filter(wal_processing_option,
apply_option_for_record_index);
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter;
Status status =
TryReopenWithColumnFamilies({ "default", "pikachu" }, options);
if (wal_processing_option ==
WalFilter::WalProcessingOption::kCorruptedRecord) {
assert(!status.ok());
// In case of corruption we can turn off paranoid_checks to reopen
// databse
options.paranoid_checks = false;
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
}
else {
assert(status.ok());
}
// Compute which keys we expect to be found
// and which we expect not to be found after recovery.
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist;
switch (wal_processing_option) {
case WalFilter::WalProcessingOption::kCorruptedRecord:
case WalFilter::WalProcessingOption::kContinueProcessing: {
fprintf(stderr, "Testing with complete WAL processing\n");
// we expect all records to be processed
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
break;
}
case WalFilter::WalProcessingOption::kIgnoreCurrentRecord: {
fprintf(stderr,
"Testing with ignoring record %" ROCKSDB_PRIszt " only\n",
apply_option_for_record_index);
// We expect the record with apply_option_for_record_index to be not
// found.
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i == apply_option_for_record_index) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
}
else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
break;
}
case WalFilter::WalProcessingOption::kStopReplay: {
fprintf(stderr,
"Testing with stopping replay from record %" ROCKSDB_PRIszt
"\n",
apply_option_for_record_index);
// We expect records beyond apply_option_for_record_index to be not
// found.
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i >= apply_option_for_record_index) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
}
else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
break;
}
default:
assert(false); // unhandled case
}
bool checked_after_reopen = false;
while (true) {
// Ensure that expected keys exists
// and not expected keys don't exist after recovery
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
if (checked_after_reopen) {
break;
}
// reopen database again to make sure previous log(s) are not used
//(even if they were skipped)
// reopn database with option to use WAL filter
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
checked_after_reopen = true;
}
}
}
TEST_F(DBTest2, WalFilterTestWithChangeBatch) {
class ChangeBatchHandler : public WriteBatch::Handler {
private:
// Batch to insert keys in
WriteBatch* new_write_batch_;
// Number of keys to add in the new batch
size_t num_keys_to_add_in_new_batch_;
// Number of keys added to new batch
size_t num_keys_added_;
public:
ChangeBatchHandler(WriteBatch* new_write_batch,
size_t num_keys_to_add_in_new_batch)
: new_write_batch_(new_write_batch),
num_keys_to_add_in_new_batch_(num_keys_to_add_in_new_batch),
num_keys_added_(0) {}
virtual void Put(const Slice& key, const Slice& value) override {
if (num_keys_added_ < num_keys_to_add_in_new_batch_) {
new_write_batch_->Put(key, value);
++num_keys_added_;
}
}
};
class TestWalFilterWithChangeBatch : public WalFilter {
private:
// Index at which to start changing records
size_t change_records_from_index_;
// Number of keys to add in the new batch
size_t num_keys_to_add_in_new_batch_;
// Current record index, incremented with each record encountered.
size_t current_record_index_;
public:
TestWalFilterWithChangeBatch(size_t change_records_from_index,
size_t num_keys_to_add_in_new_batch)
: change_records_from_index_(change_records_from_index),
num_keys_to_add_in_new_batch_(num_keys_to_add_in_new_batch),
current_record_index_(0) {}
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
if (current_record_index_ >= change_records_from_index_) {
ChangeBatchHandler handler(new_batch, num_keys_to_add_in_new_batch_);
batch.Iterate(&handler);
*batch_changed = true;
}
// Filter is passed as a const object for RocksDB to not modify the
// object, however we modify it for our own purpose here and hence
// cast the constness away.
(const_cast<TestWalFilterWithChangeBatch*>(this)
->current_record_index_)++;
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "TestWalFilterWithChangeBatch";
}
};
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// Create a test filter that would apply wal_processing_option at the first
// record
size_t change_records_from_index = 1;
size_t num_keys_to_add_in_new_batch = 1;
TestWalFilterWithChangeBatch test_wal_filter_with_change_batch(
change_records_from_index, num_keys_to_add_in_new_batch);
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_with_change_batch;
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
// Ensure that all keys exist before change_records_from_index_
// And after that index only single key exists
// as our filter adds only single key for each batch
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist;
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
if (i >= change_records_from_index && j >=
num_keys_to_add_in_new_batch) {
keys_must_not_exist.push_back(Slice(batch_keys[i][j]));
}
else {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
}
bool checked_after_reopen = false;
while (true) {
// Ensure that expected keys exists
// and not expected keys don't exist after recovery
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
if (checked_after_reopen) {
break;
}
// reopen database again to make sure previous log(s) are not used
//(even if they were skipped)
// reopn database with option to use WAL filter
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
checked_after_reopen = true;
}
}
TEST_F(DBTest2, WalFilterTestWithChangeBatchExtraKeys) {
class TestWalFilterWithChangeBatchAddExtraKeys : public WalFilter {
public:
virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) const override {
*new_batch = batch;
new_batch->Put("key_extra", "value_extra");
*batch_changed = true;
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "WalFilterTestWithChangeBatchExtraKeys";
}
};
std::vector<std::vector<std::string>> batch_keys(3);
batch_keys[0].push_back("key1");
batch_keys[0].push_back("key2");
batch_keys[1].push_back("key3");
batch_keys[1].push_back("key4");
batch_keys[2].push_back("key5");
batch_keys[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys[i].size(); j++) {
batch.Put(handles_[0], batch_keys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// Create a test filter that would add extra keys
TestWalFilterWithChangeBatchAddExtraKeys test_wal_filter_extra_keys;
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_extra_keys;
Status status = TryReopenWithColumnFamilies({ "default", "pikachu" },
options);
ASSERT_TRUE(status.IsNotSupported());
// Reopen without filter, now reopen should succeed - previous
// attempt to open must not have altered the db.
options = OptionsForLogIterTest();
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
std::vector<Slice> keys_must_exist;
std::vector<Slice> keys_must_not_exist; // empty vector
for (size_t i = 0; i < batch_keys.size(); i++) {
for (size_t j = 0; j < batch_keys[i].size(); j++) {
keys_must_exist.push_back(Slice(batch_keys[i][j]));
}
}
ValidateKeyExistence(db_, keys_must_exist, keys_must_not_exist);
}
TEST_F(DBTest2, WalFilterTestWithColumnFamilies) {
class TestWalFilterWithColumnFamilies : public WalFilter {
private:
// column_family_id -> log_number map (provided to WALFilter)
std::map<uint32_t, uint64_t> cf_log_number_map_;
// column_family_name -> column_family_id map (provided to WALFilter)
std::map<std::string, uint32_t> cf_name_id_map_;
// column_family_name -> keys_found_in_wal map
// We store keys that are applicable to the column_family
// during recovery (i.e. aren't already flushed to SST file(s))
// for verification against the keys we expect.
std::map<uint32_t, std::vector<std::string>> cf_wal_keys_;
public:
virtual void ColumnFamilyLogNumberMap(
const std::map<uint32_t, uint64_t>& cf_lognumber_map,
const std::map<std::string, uint32_t>& cf_name_id_map) override {
cf_log_number_map_ = cf_lognumber_map;
cf_name_id_map_ = cf_name_id_map;
}
virtual WalProcessingOption LogRecord(unsigned long long log_number,
const std::string& log_file_name,
const WriteBatch& batch,
WriteBatch* new_batch,
bool* batch_changed) override {
class LogRecordBatchHandler : public WriteBatch::Handler {
private:
const std::map<uint32_t, uint64_t> & cf_log_number_map_;
std::map<uint32_t, std::vector<std::string>> & cf_wal_keys_;
unsigned long long log_number_;
public:
LogRecordBatchHandler(unsigned long long current_log_number,
const std::map<uint32_t, uint64_t> & cf_log_number_map,
std::map<uint32_t, std::vector<std::string>> & cf_wal_keys) :
cf_log_number_map_(cf_log_number_map),
cf_wal_keys_(cf_wal_keys),
log_number_(current_log_number){}
virtual Status PutCF(uint32_t column_family_id, const Slice& key,
const Slice& /*value*/) override {
auto it = cf_log_number_map_.find(column_family_id);
assert(it != cf_log_number_map_.end());
unsigned long long log_number_for_cf = it->second;
// If the current record is applicable for column_family_id
// (i.e. isn't flushed to SST file(s) for column_family_id)
// add it to the cf_wal_keys_ map for verification.
if (log_number_ >= log_number_for_cf) {
cf_wal_keys_[column_family_id].push_back(std::string(key.data(),
key.size()));
}
return Status::OK();
}
} handler(log_number, cf_log_number_map_, cf_wal_keys_);
batch.Iterate(&handler);
return WalProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "WalFilterTestWithColumnFamilies";
}
const std::map<uint32_t, std::vector<std::string>> &
GetColumnFamilyKeys() {
return cf_wal_keys_;
}
const std::map<std::string, uint32_t> & GetColumnFamilyNameIdMap() {
return cf_name_id_map_;
}
};
std::vector<std::vector<std::string>> batch_keys_pre_flush(3);
batch_keys_pre_flush[0].push_back("key1");
batch_keys_pre_flush[0].push_back("key2");
batch_keys_pre_flush[1].push_back("key3");
batch_keys_pre_flush[1].push_back("key4");
batch_keys_pre_flush[2].push_back("key5");
batch_keys_pre_flush[2].push_back("key6");
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
// Write given keys in given batches
for (size_t i = 0; i < batch_keys_pre_flush.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys_pre_flush[i].size(); j++) {
batch.Put(handles_[0], batch_keys_pre_flush[i][j], DummyString(1024));
batch.Put(handles_[1], batch_keys_pre_flush[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
//Flush default column-family
db_->Flush(FlushOptions(), handles_[0]);
// Do some more writes
std::vector<std::vector<std::string>> batch_keys_post_flush(3);
batch_keys_post_flush[0].push_back("key7");
batch_keys_post_flush[0].push_back("key8");
batch_keys_post_flush[1].push_back("key9");
batch_keys_post_flush[1].push_back("key10");
batch_keys_post_flush[2].push_back("key11");
batch_keys_post_flush[2].push_back("key12");
// Write given keys in given batches
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
batch.Put(handles_[0], batch_keys_post_flush[i][j], DummyString(1024));
batch.Put(handles_[1], batch_keys_post_flush[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
// On Recovery we should only find the second batch applicable to default CF
// But both batches applicable to pikachu CF
// Create a test filter that would add extra keys
TestWalFilterWithColumnFamilies test_wal_filter_column_families;
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &test_wal_filter_column_families;
Status status =
TryReopenWithColumnFamilies({ "default", "pikachu" }, options);
ASSERT_TRUE(status.ok());
// verify that handles_[0] only has post_flush keys
// while handles_[1] has pre and post flush keys
auto cf_wal_keys = test_wal_filter_column_families.GetColumnFamilyKeys();
auto name_id_map =
test_wal_filter_column_families.GetColumnFamilyNameIdMap();
size_t index = 0;
auto keys_cf = cf_wal_keys[name_id_map[kDefaultColumnFamilyName]];
//default column-family, only post_flush keys are expected
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_post_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
ASSERT_TRUE(index == keys_cf.size());
index = 0;
keys_cf = cf_wal_keys[name_id_map["pikachu"]];
//pikachu column-family, all keys are expected
for (size_t i = 0; i < batch_keys_pre_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_pre_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_pre_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
for (size_t i = 0; i < batch_keys_post_flush.size(); i++) {
for (size_t j = 0; j < batch_keys_post_flush[i].size(); j++) {
Slice key_from_the_log(keys_cf[index++]);
Slice batch_key(batch_keys_post_flush[i][j]);
ASSERT_TRUE(key_from_the_log.compare(batch_key) == 0);
}
}
ASSERT_TRUE(index == keys_cf.size());
}
#endif // ROCKSDB_LITE
} // namespace rocksdb } // namespace rocksdb
int main(int argc, char** argv) { int main(int argc, char** argv) {

18
include/rocksdb/wal_filter.h
View file

@ -33,11 +33,12 @@ class WalFilter {
virtual ~WalFilter() {} virtual ~WalFilter() {}
// Provide ColumnFamily->LogNumber map to filter // Provide ColumnFamily->LogNumber map to filter
// so that filter can determine whether given record // so that filter can determine whether a log number applies to a given
// is applicable to given column family. // column family (i.e. that log hasn't been flushed to SST already for the
// We also pass in name->id map as this is known at // column family).
// recovery time and write batch callbacks happen // We also pass in name->id map as only name is known during
// in terms of column family id. // recovery (as handles are opened post-recovery).
// while write batch callbacks happen in terms of column family id.
// //
// @params cf_lognumber_map column_family_id to lognumber map // @params cf_lognumber_map column_family_id to lognumber map
// @params cf_name_id_map column_family_name to column_family_id map // @params cf_name_id_map column_family_name to column_family_id map
@ -58,8 +59,8 @@ class WalFilter {
// discarding the logs from current record onwards. // discarding the logs from current record onwards.
// //
// @params log_number log_number of the current log. // @params log_number log_number of the current log.
// Filter might use this to determine if the log record // Filter might use this to determine if the log
// is applicable to a certain column family. // record is applicable to a certain column family.
// @params log_file_name log file name - only for informational purposes // @params log_file_name log file name - only for informational purposes
// @params batch batch encountered in the log during recovery // @params batch batch encountered in the log during recovery
// @params new_batch new_batch to populate if filter wants to change // @params new_batch new_batch to populate if filter wants to change
@ -82,6 +83,9 @@ class WalFilter {
return LogRecord(batch, new_batch, batch_changed); return LogRecord(batch, new_batch, batch_changed);
} }
// Please see the comments for LogRecord above. This function is for
// compatibility only and contains a subset of parameters.
// New code should use the function above.
virtual WalProcessingOption LogRecord(const WriteBatch& batch, virtual WalProcessingOption LogRecord(const WriteBatch& batch,
WriteBatch* new_batch, WriteBatch* new_batch,
bool* batch_changed) const { bool* batch_changed) const {