Adding log filter to inspect and filter log records on recovery

This commit is contained in:
Praveen Rao 2015-10-12 17:03:03 -07:00
parent 9eaff629e3
commit 59a0c219bb
5 changed files with 276 additions and 2 deletions

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@ -63,6 +63,7 @@
#include "rocksdb/status.h"
#include "rocksdb/table.h"
#include "rocksdb/version.h"
#include "rocksdb/wal_filter.h"
#include "table/block.h"
#include "table/block_based_table_factory.h"
#include "table/merger.h"
@ -1153,6 +1154,26 @@ Status DBImpl::RecoverLogFiles(const std::vector<uint64_t>& log_numbers,
}
WriteBatchInternal::SetContents(&batch, record);
if (db_options_.wal_filter != nullptr) {
WALFilter::WALProcessingOption walProcessingOption =
db_options_.wal_filter->LogRecord(batch);
switch (walProcessingOption) {
case WALFilter::WALProcessingOption::kContinueProcessing:
//do nothing, proceeed normally
break;
case WALFilter::WALProcessingOption::kIgnoreCurrentRecord:
//skip current record
continue;
case WALFilter::WALProcessingOption::kStopReplay:
//skip current record and stop replay
continue_replay_log = false;
continue;
default:
assert(false); //unhandled case
}
}
// If column family was not found, it might mean that the WAL write
// batch references to the column family that was dropped after the
// insert. We don't want to fail the whole write batch in that case --

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@ -48,6 +48,7 @@
#include "rocksdb/table.h"
#include "rocksdb/table_properties.h"
#include "rocksdb/thread_status.h"
#include "rocksdb/wal_filter.h"
#include "rocksdb/utilities/write_batch_with_index.h"
#include "rocksdb/utilities/checkpoint.h"
#include "rocksdb/utilities/optimistic_transaction_db.h"
@ -9669,6 +9670,182 @@ TEST_F(DBTest, PauseBackgroundWorkTest) {
ASSERT_EQ(true, done.load());
}
TEST_F(DBTest, WalFilterTest) {
class TestWALFilter : public WALFilter {
private:
// Processing option that is requested to be applied at the given index
WALFilter::WALProcessingOption m_walProcessingOption;
// Index at which to apply m_walProcessingOption
// At other indexes default WALProcessingOption::kContinueProcessing is
// returned.
size_t m_applyOptionAtRecordIndex;
// Current record index, incremented with each record encountered.
size_t m_currentRecordIndex;
public:
TestWALFilter(WALFilter::WALProcessingOption walProcessingOption,
size_t applyOptionForRecordIndex) :
m_walProcessingOption(walProcessingOption),
m_applyOptionAtRecordIndex(applyOptionForRecordIndex),
m_currentRecordIndex(0) { }
virtual WALProcessingOption LogRecord(const WriteBatch & batch) const override {
WALFilter::WALProcessingOption optionToReturn;
if (m_currentRecordIndex == m_applyOptionAtRecordIndex) {
optionToReturn = m_walProcessingOption;
}
else {
optionToReturn = 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)->m_currentRecordIndex)++;
return optionToReturn;
}
virtual const char* Name() const override {
return "TestWALFilter";
}
};
// Create 3 batches with two keys each
std::vector<std::vector<std::string>> batchKeys(3);
batchKeys[0].push_back("key1");
batchKeys[0].push_back("key2");
batchKeys[1].push_back("key3");
batchKeys[1].push_back("key4");
batchKeys[2].push_back("key5");
batchKeys[2].push_back("key6");
// Test with all WAL processing options
for (char option = 0;
option < static_cast<char>(WALFilter::WALProcessingOption::kWALProcessingOptionMax);
option++) {
Options options = OptionsForLogIterTest();
DestroyAndReopen(options);
CreateAndReopenWithCF({ "pikachu" }, options);
{
// Write given keys in given batches
for (size_t i = 0; i < batchKeys.size(); i++) {
WriteBatch batch;
for (size_t j = 0; j < batchKeys[i].size(); j++) {
batch.Put(handles_[0], batchKeys[i][j], DummyString(1024));
}
dbfull()->Write(WriteOptions(), &batch);
}
WALFilter::WALProcessingOption walProcessingOption =
static_cast<WALFilter::WALProcessingOption>(option);
// Create a test filter that would apply walProcessingOption at the first
// record
size_t applyOptionForRecordIndex = 1;
TestWALFilter testWalFilter(walProcessingOption,
applyOptionForRecordIndex);
// Reopen database with option to use WAL filter
options = OptionsForLogIterTest();
options.wal_filter = &testWalFilter;
ReopenWithColumnFamilies({ "default", "pikachu" }, options);
// Compute which keys we expect to be found
// and which we expect not to be found after recovery.
std::vector<Slice> keysMustExist;
std::vector<Slice> keysMustNotExist;
switch (walProcessingOption) {
case WALFilter::WALProcessingOption::kContinueProcessing: {
fprintf(stderr, "Testing with complete WAL processing,"
" i.e. the default case\n");
//we expect all records to be processed
for (size_t i = 0; i < batchKeys.size(); i++) {
for (size_t j = 0; j < batchKeys[i].size(); j++) {
keysMustExist.push_back(Slice(batchKeys[i][j]));
}
}
break;
}
case WALFilter::WALProcessingOption::kIgnoreCurrentRecord: {
fprintf(stderr, "Testing with ignoring record %d only\n",
applyOptionForRecordIndex);
// We expect the record with applyOptionForRecordIndex to be not
// found.
for (size_t i = 0; i < batchKeys.size(); i++) {
for (size_t j = 0; j < batchKeys[i].size(); j++) {
if (i == applyOptionForRecordIndex) {
keysMustNotExist.push_back(Slice(batchKeys[i][j]));
}
else {
keysMustExist.push_back(Slice(batchKeys[i][j]));
}
}
}
break;
}
case WALFilter::WALProcessingOption::kStopReplay: {
fprintf(stderr, "Testing with stopping replay from record %d\n",
applyOptionForRecordIndex);
// We expect records beyond applyOptionForRecordIndex to be not
// found.
for (size_t i = 0; i < batchKeys.size(); i++) {
for (size_t j = 0; j < batchKeys[i].size(); j++) {
if (i >= applyOptionForRecordIndex) {
keysMustNotExist.push_back(Slice(batchKeys[i][j]));
}
else {
keysMustExist.push_back(Slice(batchKeys[i][j]));
}
}
}
break;
}
default:
assert(false); //unhandled case
}
bool checkedAfterReopen = false;
while (true)
{
// Ensure that expected keys exist after recovery
std::vector<std::string> values;
if (keysMustExist.size() > 0) {
std::vector<Status> status_list = dbfull()->MultiGet(ReadOptions(),
keysMustExist,
&values);
for (size_t i = 0; i < keysMustExist.size(); i++) {
ASSERT_OK(status_list[i]);
}
}
// Ensure that discarded keys don't exist after recovery
if (keysMustNotExist.size() > 0) {
std::vector<Status> status_list = dbfull()->MultiGet(ReadOptions(),
keysMustNotExist,
&values);
for (size_t i = 0; i < keysMustNotExist.size(); i++) {
ASSERT_TRUE(status_list[i].IsNotFound());
}
}
if (checkedAfterReopen) {
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);
checkedAfterReopen = true;
}
}
}
}
} // namespace rocksdb
#endif

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@ -47,6 +47,7 @@ class Slice;
class SliceTransform;
class Statistics;
class InternalKeyComparator;
class WALFilter;
// DB contents are stored in a set of blocks, each of which holds a
// sequence of key,value pairs. Each block may be compressed before
@ -1132,6 +1133,13 @@ struct DBOptions {
// Default: nullptr (disabled)
// Not supported in ROCKSDB_LITE mode!
std::shared_ptr<Cache> row_cache;
// A filter object supplied to be invoked while processing write-ahead-logs
// (WALs) during recovery. The filter provides a way to inspect log
// records, ignoring a particular record or skipping replay.
// The filter is invoked at startup and is invoked from a single-thread
// currently.
const WALFilter * wal_filter;
};
// Options to control the behavior of a database (passed to DB::Open)

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@ -0,0 +1,63 @@
// Copyright (c) 2013, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same directory.
// Copyright (c) 2013 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#ifndef STORAGE_ROCKSDB_INCLUDE_WAL_FILTER_H_
#define STORAGE_ROCKSDB_INCLUDE_WAL_FILTER_H_
namespace rocksdb {
class WriteBatch;
// WALFilter allows an application to inspect write-ahead-log (WAL)
// records or modify their processing on recovery.
// Please see the details below.
class WALFilter {
public:
enum class WALProcessingOption {
// Continue processing as usual
kContinueProcessing = 0,
// Ignore the current record but continue processing of log(s)
kIgnoreCurrentRecord = 1,
// Stop replay of logs and discard logs
// Logs won't be replayed on subsequent recovery
kStopReplay = 2,
// Marker for enum count
kWALProcessingOptionMax = 3
};
virtual ~WALFilter() { };
// LogRecord is invoked for each log record encountered for all the logs
// during replay on logs on recovery. This method can be used to:
// * inspect the record (using the batch parameter)
// * ignoring current record
// (by returning WALProcessingOption::kIgnoreCurrentRecord)
// * stop log replay
// (by returning kStop replay) - please note that this implies
// discarding the logs from current record onwards.
virtual WALProcessingOption LogRecord(const WriteBatch & batch) const = 0;
// Returns a name that identifies this WAL filter.
// The name will be printed to LOG file on start up for diagnosis.
virtual const char* Name() const = 0;
};
// Default implementation of WALFilter that does not alter WAL processing
class DefaultWALFilter : WALFilter {
virtual WALProcessingOption LogRecord(const WriteBatch & batch) const override {
return WALProcessingOption::kContinueProcessing;
}
virtual const char* Name() const override {
return "DefaultWALFilter";
}
};
} // namespace rocksdb
#endif // STORAGE_ROCKSDB_INCLUDE_WAL_FILTER_H_

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@ -29,6 +29,7 @@
#include "rocksdb/slice_transform.h"
#include "rocksdb/table.h"
#include "rocksdb/table_properties.h"
#include "rocksdb/wal_filter.h"
#include "table/block_based_table_factory.h"
#include "util/compression.h"
#include "util/statistics.h"
@ -254,7 +255,8 @@ DBOptions::DBOptions()
enable_thread_tracking(false),
delayed_write_rate(1024U * 1024U),
skip_stats_update_on_db_open(false),
wal_recovery_mode(WALRecoveryMode::kTolerateCorruptedTailRecords) {
wal_recovery_mode(WALRecoveryMode::kTolerateCorruptedTailRecords),
wal_filter(nullptr) {
}
DBOptions::DBOptions(const Options& options)
@ -309,7 +311,8 @@ DBOptions::DBOptions(const Options& options)
delayed_write_rate(options.delayed_write_rate),
skip_stats_update_on_db_open(options.skip_stats_update_on_db_open),
wal_recovery_mode(options.wal_recovery_mode),
row_cache(options.row_cache) {}
row_cache(options.row_cache),
wal_filter(options.wal_filter){}
static const char* const access_hints[] = {
"NONE", "NORMAL", "SEQUENTIAL", "WILLNEED"
@ -406,6 +409,8 @@ void DBOptions::Dump(Logger* log) const {
} else {
Header(log, " Options.row_cache: None");
}
Header(log, " Options.wal_filter: %s",
wal_filter ? wal_filter->Name() : "None");
} // DBOptions::Dump
void ColumnFamilyOptions::Dump(Logger* log) const {