mongodb 数据块迁移的源码分析
1. 简介
上一篇我们聊到了mongodb数据块的基本概念，和数据块迁移的主要流程，这篇文章我们聊聊源码实现部分。
2. 迁移序列图
数据块迁移的请求是从配置服务器（config server）发给（donor，捐献方），再有捐献方发起迁移请求给目标节点（recipient，接收方），后续迁移由捐献方和接收方配合完成。
数据迁移结束时，捐献方再提交迁移结果给配置服务器，三方交互序列图如下：
可以看到，序列图中的5个步骤，是对应前面文章的迁移流程中的5个步骤，其中接收方的流程控制代码在migration_destination_manager.cpp中的_migrateDriver方法中，捐献方的流程控制代码在donor的move_chunk_command.cpp中的_runImpl方法中完成，代码如下：
static void _runImpl(OperationContext* opCtx, const MoveChunkRequest& moveChunkRequest) { const auto writeConcernForRangeDeleter = uassertStatusOK(ChunkMoveWriteConcernOptions::getEffectiveWriteConcern( opCtx, moveChunkRequest.getSecondaryThrottle())); // Resolve the donor and recipient shards and their connection string auto const shardRegistry = Grid::get(opCtx)->shardRegistry(); // 准备donor和recipient的连接 const auto donorConnStr = uassertStatusOK(shardRegistry->getShard(opCtx, moveChunkRequest.getFromShardId())) ->getConnString(); const auto recipientHost = uassertStatusOK([&] { auto recipientShard = uassertStatusOK(shardRegistry->getShard(opCtx, moveChunkRequest.getToShardId())); return recipientShard->getTargeter()->findHost( opCtx, ReadPreferenceSetting{ReadPreference::PrimaryOnly}); }()); std::string unusedErrMsg; // 用于统计每一步的耗时情况 MoveTimingHelper moveTimingHelper(opCtx, "from", moveChunkRequest.getNss().ns(), moveChunkRequest.getMinKey(), moveChunkRequest.getMaxKey(), 6, // Total number of steps &unusedErrMsg, moveChunkRequest.getToShardId(), moveChunkRequest.getFromShardId()); moveTimingHelper.done(1); moveChunkHangAtStep1.pauseWhileSet(); if (moveChunkRequest.getFromShardId() == moveChunkRequest.getToShardId()) { // TODO: SERVER-46669 handle wait for delete. return; } // 构建迁移任务管理器 MigrationSourceManager migrationSourceManager( opCtx, moveChunkRequest, donorConnStr, recipientHost); moveTimingHelper.done(2); moveChunkHangAtStep2.pauseWhileSet(); // 向接收方发送迁移命令 uassertStatusOKWithWarning(migrationSourceManager.startClone()); moveTimingHelper.done(3); moveChunkHangAtStep3.pauseWhileSet(); // 等待块数据和变更数据都拷贝完成 uassertStatusOKWithWarning(migrationSourceManager.awaitToCatchUp()); moveTimingHelper.done(4); moveChunkHangAtStep4.pauseWhileSet(); // 进入临界区 uassertStatusOKWithWarning(migrationSourceManager.enterCriticalSection()); // 通知接收方 uassertStatusOKWithWarning(migrationSourceManager.commitChunkOnRecipient()); moveTimingHelper.done(5); moveChunkHangAtStep5.pauseWhileSet(); // 在配置服务器提交分块元数据信息 uassertStatusOKWithWarning(migrationSourceManager.commitChunkMetadataOnConfig()); moveTimingHelper.done(6); moveChunkHangAtStep6.pauseWhileSet(); }
下面对每一个步骤的代码做分析。
3. 各步骤源码分析
3.1 启动迁移（ _recvChunkStart）
在启动阶段，捐献方主要做了三件事：
1. 参数检查，在MigrationSourceManager 构造函数中完成，不再赘述。
2. 注册监听器，用于记录在迁移期间该数据块内发生的变更数据，代码如下：
3. 向接收方发送迁移命令_recvChunkStart。
步骤2和3的代码实现在一个方法中，如下：
Status MigrationSourceManager::startClone() { ...// 省略了部分代码 _cloneAndCommitTimer.reset(); auto replCoord = repl::ReplicationCoordinator::get(_opCtx); auto replEnabled = replCoord->isReplEnabled(); { const auto metadata = _getCurrentMetadataAndCheckEpoch(); // Having the metadata manager registered on the collection sharding state is what indicates // that a chunk on that collection is being migrated. With an active migration, write // operations require the cloner to be present in order to track changes to the chunk which // needs to be transmitted to the recipient. // 注册监听器，_cloneDriver除了迁移数据外，还会用于记录在迁移过程中该数据块增量变化的数据（比如新增的数据） _cloneDriver = std::make_unique<MigrationChunkClonerSourceLegacy>( _args, metadata.getKeyPattern(), _donorConnStr, _recipientHost); AutoGetCollection autoColl(_opCtx, getNss(), replEnabled ? MODE_IX : MODE_X, AutoGetCollectionViewMode::kViewsForbidden, _opCtx->getServiceContext()->getPreciseClockSource()->now() + Milliseconds(migrationLockAcquisitionMaxWaitMS.load())); auto csr = CollectionShardingRuntime::get(_opCtx, getNss()); auto lockedCsr = CollectionShardingRuntime::CSRLock::lockExclusive(_opCtx, csr); invariant(nullptr == std::exchange(msmForCsr(csr), this)); _coordinator = std::make_unique<migrationutil::MigrationCoordinator>( _cloneDriver->getSessionId(), _args.getFromShardId(), _args.getToShardId(), getNss(), *_collectionUUID, ChunkRange(_args.getMinKey(), _args.getMaxKey()), _chunkVersion, _args.getWaitForDelete()); _state = kCloning; } if (replEnabled) { auto const readConcernArgs = repl::ReadConcernArgs( replCoord->getMyLastAppliedOpTime(), repl::ReadConcernLevel::kLocalReadConcern); // 检查当前节点状态是否满足repl::ReadConcernLevel::kLocalReadConcern auto waitForReadConcernStatus = waitForReadConcern(_opCtx, readConcernArgs, StringData(), false); if (!waitForReadConcernStatus.isOK()) { return waitForReadConcernStatus; } setPrepareConflictBehaviorForReadConcern( _opCtx, readConcernArgs, PrepareConflictBehavior::kEnforce); } _coordinator->startMigration(_opCtx); // 向接收方发送开始拷贝数据的命令（_recvChunkStart） Status startCloneStatus = _cloneDriver->startClone(_opCtx, _coordinator->getMigrationId(), _coordinator->getLsid(), _coordinator->getTxnNumber()); if (!startCloneStatus.isOK()) { return startCloneStatus; } scopedGuard.dismiss(); return Status::OK(); }
接收方在收到迁移请求后，会先检查本地是否有该表，如果没有的话，会先建表会创建表的索引：
void MigrationDestinationManager::cloneCollectionIndexesAndOptions( OperationContext* opCtx, const NamespaceString& nss, const CollectionOptionsAndIndexes& collectionOptionsAndIndexes) { { // 1. Create the collection (if it doesn't already exist) and create any indexes we are // missing (auto-heal indexes). ...// 省略部分代码 { AutoGetCollection collection(opCtx, nss, MODE_IS); // 如果存在表，且不缺索引，则退出 if (collection) { checkUUIDsMatch(collection.getCollection()); auto indexSpecs = checkEmptyOrGetMissingIndexesFromDonor(collection.getCollection()); if (indexSpecs.empty()) { return; } } } // Take the exclusive database lock if the collection does not exist or indexes are missing // (needs auto-heal). // 建表时，需要对数据库加锁 AutoGetDb autoDb(opCtx, nss.db(), MODE_X); auto db = autoDb.ensureDbExists(); auto collection = CollectionCatalog::get(opCtx)->lookupCollectionByNamespace(opCtx, nss); if (collection) { checkUUIDsMatch(collection); } else { ...// 省略部分代码// We do not have a collection by this name. Create the collection with the donor's // options. // 建表 OperationShardingState::ScopedAllowImplicitCollectionCreate_UNSAFE unsafeCreateCollection(opCtx); WriteUnitOfWork wuow(opCtx); CollectionOptions collectionOptions = uassertStatusOK( CollectionOptions::parse(collectionOptionsAndIndexes.options, CollectionOptions::ParseKind::parseForStorage)); const bool createDefaultIndexes = true; uassertStatusOK(db->userCreateNS(opCtx, nss, collectionOptions, createDefaultIndexes, collectionOptionsAndIndexes.idIndexSpec)); wuow.commit(); collection = CollectionCatalog::get(opCtx)->lookupCollectionByNamespace(opCtx, nss); } // 创建对应的索引 auto indexSpecs = checkEmptyOrGetMissingIndexesFromDonor(collection); if (!indexSpecs.empty()) { WriteUnitOfWork wunit(opCtx); auto fromMigrate = true; CollectionWriter collWriter(opCtx, collection->uuid()); IndexBuildsCoordinator::get(opCtx)->createIndexesOnEmptyCollection( opCtx, collWriter, indexSpecs, fromMigrate); wunit.commit(); } } }
3.2 接收方拉取存量数据（ _migrateClone）
接收方的拉取存量数据时，做了六件事情：
1. 定义了一个批量插入记录的方法。
2. 定义了一个批量拉取数据的方法。
3. 定义生产者和消费队列。
4. 启动数据写入线程，该线程会消费队列中的数据，并调用批量插入记录的方法把记录保存到本地。
5. 循环向捐献方发起拉取数据请求（步骤2的方法），并写入步骤3的队列中。
6. 数据拉取结束后（写入空记录到队列中，触发步骤5结束），则同步等待步骤5的线程也结束。
详细代码如下：
// 1. 定义批量写入函数 auto insertBatchFn = [&](OperationContext* opCtx, BSONObj arr) { auto it = arr.begin(); while (it != arr.end()) { int batchNumCloned = 0; int batchClonedBytes = 0; const int batchMaxCloned = migrateCloneInsertionBatchSize.load(); assertNotAborted(opCtx); write_ops::InsertCommandRequest insertOp(_nss); insertOp.getWriteCommandRequestBase().setOrdered(true); insertOp.setDocuments([&] { std::vector<BSONObj> toInsert; while (it != arr.end() && (batchMaxCloned <= 0 || batchNumCloned < batchMaxCloned)) { const auto& doc = *it; BSONObj docToClone = doc.Obj(); toInsert.push_back(docToClone); batchNumCloned++; batchClonedBytes += docToClone.objsize(); ++it; } return toInsert; }()); const auto reply = write_ops_exec::performInserts(opCtx, insertOp, OperationSource::kFromMigrate); for (unsigned long i = 0; i < reply.results.size(); ++i) { uassertStatusOKWithContext( reply.results[i], str::stream() << "Insert of " << insertOp.getDocuments()[i] << " failed."); } { stdx::lock_guard<Latch> statsLock(_mutex); _numCloned += batchNumCloned; ShardingStatistics::get(opCtx).countDocsClonedOnRecipient.addAndFetch( batchNumCloned); _clonedBytes += batchClonedBytes; } if (_writeConcern.needToWaitForOtherNodes()) { runWithoutSession(outerOpCtx, [&] { repl::ReplicationCoordinator::StatusAndDuration replStatus = repl::ReplicationCoordinator::get(opCtx)->awaitReplication( opCtx, repl::ReplClientInfo::forClient(opCtx->getClient()).getLastOp(), _writeConcern); if (replStatus.status.code() == ErrorCodes::WriteConcernFailed) { LOGV2_WARNING( 22011, "secondaryThrottle on, but doc insert timed out; continuing", "migrationId"_attr = _migrationId->toBSON()); } else { uassertStatusOK(replStatus.status); } }); } sleepmillis(migrateCloneInsertionBatchDelayMS.load()); } }; // 2. 定义批量拉取函数 auto fetchBatchFn = [&](OperationContext* opCtx) { auto res = uassertStatusOKWithContext( fromShard->runCommand(opCtx, ReadPreferenceSetting(ReadPreference::PrimaryOnly), "admin", migrateCloneRequest, Shard::RetryPolicy::kNoRetry), "_migrateClone failed: "); uassertStatusOKWithContext(Shard::CommandResponse::getEffectiveStatus(res), "_migrateClone failed: "); return res.response; }; SingleProducerSingleConsumerQueue<BSONObj>::Options options; options.maxQueueDepth = 1; // 3. 使用生产者和消费者队列来把同步的数据写入到本地 SingleProducerSingleConsumerQueue<BSONObj> batches(options); repl::OpTime lastOpApplied; // 4. 定义写数据线程，该线程会读取队列中的数据并写入本地节点，直到无需要同步的数据时线程退出 stdx::thread inserterThread{[&] { Client::initThread("chunkInserter", opCtx->getServiceContext(), nullptr); auto client = Client::getCurrent(); { stdx::lock_guard lk(*client); client->setSystemOperationKillableByStepdown(lk); } auto executor = Grid::get(opCtx->getServiceContext())->getExecutorPool()->getFixedExecutor(); auto inserterOpCtx = CancelableOperationContext( cc().makeOperationContext(), opCtx->getCancellationToken(), executor); auto consumerGuard = makeGuard([&] { batches.closeConsumerEnd(); lastOpApplied = repl::ReplClientInfo::forClient(inserterOpCtx->getClient()).getLastOp(); }); try { while (true) { auto nextBatch = batches.pop(inserterOpCtx.get()); auto arr = nextBatch["objects"].Obj(); if (arr.isEmpty()) { return; } insertBatchFn(inserterOpCtx.get(), arr); } } catch (...) { stdx::lock_guard<Client> lk(*opCtx->getClient()); opCtx->getServiceContext()->killOperation(lk, opCtx, ErrorCodes::Error(51008)); LOGV2(21999, "Batch insertion failed: {error}", "Batch insertion failed", "error"_attr = redact(exceptionToStatus())); } }}; { //6. makeGuard的作用是延迟执行inserterThread.join() auto inserterThreadJoinGuard = makeGuard([&] { batches.closeProducerEnd(); inserterThread.join(); }); // 5. 向捐献方发起拉取请求，并把数据写入队列中 while (true) { auto res = fetchBatchFn(opCtx); try { batches.push(res.getOwned(), opCtx); auto arr = res["objects"].Obj(); if (arr.isEmpty()) { break; } } catch (const ExceptionFor<ErrorCodes::ProducerConsumerQueueEndClosed>&) { break; } } } // This scope ensures that the guard is destroyed
3.3 接收方拉取变更数据（ _recvChunkStart）
在本步骤，接收方会再拉取变更数据，即在前面迁移过程中，捐献方上发生的针对该数据块的写入、更新和删除的记录，代码如下：
// 同步变更数据（_transferMods） const BSONObj xferModsRequest = createTransferModsRequest(_nss, *_sessionId); { // 5. Do bulk of mods // 5. 批量拉取变更数据，循环拉取，直至无变更数据 _setState(CATCHUP); while (true) { auto res = uassertStatusOKWithContext( fromShard->runCommand(opCtx, ReadPreferenceSetting(ReadPreference::PrimaryOnly), "admin", xferModsRequest, Shard::RetryPolicy::kNoRetry), "_transferMods failed: "); uassertStatusOKWithContext(Shard::CommandResponse::getEffectiveStatus(res), "_transferMods failed: "); const auto& mods = res.response; if (mods["size"].number() == 0) { // There are no more pending modifications to be applied. End the catchup phase // 无变更数据时，停止循环 break; } // 应用拉取到的变更数据 if (!_applyMigrateOp(opCtx, mods, &lastOpApplied)) { continue; } const int maxIterations = 3600 * 50; // 等待从节点完成数据同步 int i; for (i = 0; i < maxIterations; i++) { opCtx->checkForInterrupt(); outerOpCtx->checkForInterrupt(); if (getState() == ABORT) { LOGV2(22002, "Migration aborted while waiting for replication at catch up stage", "migrationId"_attr = _migrationId->toBSON()); return; } if (runWithoutSession(outerOpCtx, [&] { return opReplicatedEnough(opCtx, lastOpApplied, _writeConcern); })) { break; } if (i > 100) { LOGV2(22003, "secondaries having hard time keeping up with migrate", "migrationId"_attr = _migrationId->toBSON()); } sleepmillis(20); } if (i == maxIterations) { _setStateFail("secondary can't keep up with migrate"); return; } } timing.done(5); migrateThreadHangAtStep5.pauseWhileSet(); }
变更数据拉取结束，就进入等待捐献方进入临界区，在临界区内，捐献方会阻塞写入请求，因此在未进入临界区前，仍然需要拉取变更数据：
// 6. Wait for commit // 6. 等待donor进入临界区 _setState(STEADY); bool transferAfterCommit = false; while (getState() == STEADY || getState() == COMMIT_START) { opCtx->checkForInterrupt(); outerOpCtx->checkForInterrupt(); // Make sure we do at least one transfer after recv'ing the commit message. If we // aren't sure that at least one transfer happens *after* our state changes to // COMMIT_START, there could be mods still on the FROM shard that got logged // *after* our _transferMods but *before* the critical section. if (getState() == COMMIT_START) { transferAfterCommit = true; } auto res = uassertStatusOKWithContext( fromShard->runCommand(opCtx, ReadPreferenceSetting(ReadPreference::PrimaryOnly), "admin", xferModsRequest, Shard::RetryPolicy::kNoRetry), "_transferMods failed in STEADY STATE: "); uassertStatusOKWithContext(Shard::CommandResponse::getEffectiveStatus(res), "_transferMods failed in STEADY STATE: "); auto mods = res.response; // 如果请求到变更数据，则应用到本地，并继续请求变更数据，直到所有变更数据都迁移结束 if (mods["size"].number() > 0 && _applyMigrateOp(opCtx, mods, &lastOpApplied)) { continue; } if (getState() == ABORT) { LOGV2(22006, "Migration aborted while transferring mods", "migrationId"_attr = _migrationId->toBSON()); return; } // We know we're finished when: // 1) The from side has told us that it has locked writes (COMMIT_START) // 2) We've checked at least one more time for un-transmitted mods // 检查transferAfterCommit的原因：进入COMMIT_START(临界区)后，需要再拉取一次变更数据 if (getState() == COMMIT_START && transferAfterCommit == true) { // 检查所有数据同步到从节点后，数据迁移流程结束 if (runWithoutSession(outerOpCtx, [&] { return _flushPendingWrites(opCtx, lastOpApplied); })) { break; } } // Only sleep if we aren't committing if (getState() == STEADY) sleepmillis(10); }
3.4 进入临界区（ _recvChunkStatus，_recvChunkCommit）
在该步骤，捐献方主要做了三件事：
1. 等待接收方完成数据同步（_recvChunkStatus）。
2. 标记本节点进入临界区，阻塞写操作。
3. 通知接收方进入临界区（_recvChunkCommit）。
相关代码如下：
Status MigrationSourceManager::awaitToCatchUp() { invariant(!_opCtx->lockState()->isLocked()); invariant(_state == kCloning); auto scopedGuard = makeGuard([&] { cleanupOnError(); }); _stats.totalDonorChunkCloneTimeMillis.addAndFetch(_cloneAndCommitTimer.millis()); _cloneAndCommitTimer.reset(); // Block until the cloner deems it appropriate to enter the critical section. // 等待数据拷贝完成，这里会向接收方发送_recvChunkStatus，检查接收方的状态是否是STEADY Status catchUpStatus = _cloneDriver->awaitUntilCriticalSectionIsAppropriate( _opCtx, kMaxWaitToEnterCriticalSectionTimeout); if (!catchUpStatus.isOK()) { return catchUpStatus; } _state = kCloneCaughtUp; scopedGuard.dismiss(); return Status::OK(); }
// 进入临界区 Status MigrationSourceManager::enterCriticalSection() { ...// 省略部分代码
// 标记进入临界区，后续更新类操作会被阻塞(通过ShardingMigrationCriticalSection::getSignal()检查该标记) _critSec.emplace(_opCtx, _args.getNss(), _critSecReason); _state = kCriticalSection; // Persist a signal to secondaries that we've entered the critical section. This is will cause // secondaries to refresh their routing table when next accessed, which will block behind the // critical section. This ensures causal consistency by preventing a stale mongos with a cluster // time inclusive of the migration config commit update from accessing secondary data. // Note: this write must occur after the critSec flag is set, to ensure the secondary refresh // will stall behind the flag. // 通知从节点此时主节点已进入临界区，如果有数据访问时要刷新路由信息（保证因果一致性） Status signalStatus = shardmetadatautil::updateShardCollectionsEntry( _opCtx, BSON(ShardCollectionType::kNssFieldName << getNss().ns()), BSON("$inc" << BSON(ShardCollectionType::kEnterCriticalSectionCounterFieldName << 1)), false /*upsert*/); if (!signalStatus.isOK()) { return { ErrorCodes::OperationFailed, str::stream() << "Failed to persist critical section signal for secondaries due to: " << signalStatus.toString()}; } LOGV2(22017, "Migration successfully entered critical section", "migrationId"_attr = _coordinator->getMigrationId()); scopedGuard.dismiss(); return Status::OK(); }
Status MigrationSourceManager::commitChunkOnRecipient() {
invariant(!_opCtx->lockState()->isLocked());
invariant(_state == kCriticalSection);
auto scopedGuard = makeGuard([&] { cleanupOnError(); });
// Tell the recipient shard to fetch the latest changes.
// 通知接收方进入临界区，并再次拉取变更数据。
auto commitCloneStatus = _cloneDriver->commitClone(_opCtx);
if (MONGO_unlikely(failMigrationCommit.shouldFail()) && commitCloneStatus.isOK()) {
commitCloneStatus = {ErrorCodes::InternalError,
”Failing _recvChunkCommit due to failpoint.”};
}
if (!commitCloneStatus.isOK()) {
return commitCloneStatus.getStatus().withContext(“commit clone failed”);
}
_recipientCloneCounts = commitCloneStatus.getValue()[“counts”].Obj().getOwned();
_state = kCloneCompleted;
scopedGuard.dismiss();
return Status::OK();
}
3.5 提交迁移结果（ _configsvrCommitChunkMigration）
此时，数据已经前部迁移结束，捐献方将会向配置服务器（config server）提交迁移结果，更新配置服务器上面的分片信息，代码如下：
BSONObjBuilder builder; { const auto metadata = _getCurrentMetadataAndCheckEpoch(); ChunkType migratedChunkType; migratedChunkType.setMin(_args.getMinKey()); migratedChunkType.setMax(_args.getMaxKey()); migratedChunkType.setVersion(_chunkVersion); // 准备提交更新元信息的请求 const auto currentTime = VectorClock::get(_opCtx)->getTime(); CommitChunkMigrationRequest::appendAsCommand(&builder, getNss(), _args.getFromShardId(), _args.getToShardId(), migratedChunkType, metadata.getCollVersion(), currentTime.clusterTime().asTimestamp()); builder.append(kWriteConcernField, kMajorityWriteConcern.toBSON()); } // Read operations must begin to wait on the critical section just before we send the commit // operation to the config server // 进入提交阶段时，会阻塞读请求，其实现和阻塞写请求类似 _critSec->enterCommitPhase(); _state = kCommittingOnConfig; Timer t; // 向配置服务器提交更新元数据的请求 auto commitChunkMigrationResponse = Grid::get(_opCtx)->shardRegistry()->getConfigShard()->runCommandWithFixedRetryAttempts( _opCtx, ReadPreferenceSetting{ReadPreference::PrimaryOnly}, "admin", builder.obj(), Shard::RetryPolicy::kIdempotent); if (MONGO_unlikely(migrationCommitNetworkError.shouldFail())) { commitChunkMigrationResponse = Status( ErrorCodes::InternalError, "Failpoint 'migrationCommitNetworkError' generated error"); }
4. 小结
至此，mongodb的数据块迁移的源代码基本分析完毕，这里补充一下监听变更数据的代码实现。
前面有提到监听变更数据是由_cloneDriver完成的，下面看下_cloneDriver的接口定义：
class MigrationChunkClonerSourceLegacy final : public MigrationChunkClonerSource { ...// 省略部分代码 StatusWith<BSONObj> commitClone(OperationContext* opCtx) override; void cancelClone(OperationContext* opCtx) override; bool isDocumentInMigratingChunk(const BSONObj& doc) override;
// 该类定义了三个方法，当捐献方有写入、更新和删除请求时，会分别调用这三个方法 void onInsertOp(OperationContext* opCtx, const BSONObj& insertedDoc, const repl::OpTime& opTime) override; void onUpdateOp(OperationContext* opCtx, boost::optional<BSONObj> preImageDoc, const BSONObj& postImageDoc, const repl::OpTime& opTime, const repl::OpTime& prePostImageOpTime) override; void onDeleteOp(OperationContext* opCtx, const BSONObj& deletedDocId, const repl::OpTime& opTime, const repl::OpTime& preImageOpTime) override;
下面以onInsertOp为例，看下其实现:
void MigrationChunkClonerSourceLegacy::onInsertOp(OperationContext* opCtx, const BSONObj& insertedDoc, const repl::OpTime& opTime) { dassert(opCtx->lockState()->isCollectionLockedForMode(_args.getNss(), MODE_IX)); BSONElement idElement = insertedDoc["_id"]; // 检查该记录是否在当前迁移数据块的范围内，如果不在，直接退出方法 if (!isInRange(insertedDoc, _args.getMinKey(), _args.getMaxKey(), _shardKeyPattern)) { return; } if (!_addedOperationToOutstandingOperationTrackRequests()) { return; }
// 将该记录的_id记录下面，方便后面拉取变更数据 if (opCtx->getTxnNumber()) { opCtx->recoveryUnit()->registerChange(std::make_unique<LogOpForShardingHandler>( this, idElement.wrap(), 'i', opTime, repl::OpTime())); } else { opCtx->recoveryUnit()->registerChange(std::make_unique<LogOpForShardingHandler>( this, idElement.wrap(), 'i', repl::OpTime(), repl::OpTime())); } }
