连接器里面衔接数据源与数据推送对象的是QueryTraverser类对象，该类实现了Traverser接口
/** * Interface presented by a Traverser. Used by the Scheduler. */public interface Traverser { /** * Interval to wait after a transient error before retrying a traversal. */ public static final int ERROR_WAIT_MILLIS = 15 * 60 * 1000; /** * Runs a batch of documents. The Traversal method may be hard (impossible?) * to interrupt while it is executing runBatch(). It is expected that a * thread loop running a traversal method would call runBatch(), then check * for InterruptedException, then decide whether it wants to stop of itself, * for scheduling reasons, or for a clean shutdown. It could then re-adjust * the batch hint if desired, then repeat. * * @param batchSize A { @link BatchSize} instructs the traversal method to * process approximately { @code batchSize.getHint()}, but no more * than { @code batchSize.getMaximum()} number of documents in this * batch. * @return A { @link BatchResult} containing the actual number of documents * from this batch given to the feed and a possible policy to delay * before requesting another batch. */ public BatchResult runBatch(BatchSize batchSize); /** * Cancel the Batch in progress. Discard the batch. This might be called * when the workItem times out, connector deletion or reconfiguration, or * during shutdown. */ public void cancelBatch();} 即上面的BatchResult runBatch(BatchSize batchSize)方法，参数BatchSize batchSize表示批次大小
QueryTraverser类对象通过引用TraversalManager queryTraversalManager对象实例获取数据源数据，同时引用PusherFactory pusherFactory对象实例实例化docPuser对象实例发送document对象数据，成员变量TraversalStateStore stateStore用于获取状态和保存状态(用于断点发送)
@Override public BatchResult runBatch(BatchSize batchSize) { //开始时间 final long startTime = clock.getTimeMillis(); //超时时间 final long timeoutTime = startTime + traversalContext.traversalTimeLimitSeconds() * 1000; //已取消 if (isCancelled()) { LOGGER.warning("Attempting to run a cancelled QueryTraverser"); return new BatchResult(TraversalDelayPolicy.ERROR); } try { //批次大小 queryTraversalManager.setBatchHint(batchSize.getHint()); } catch (RepositoryException e) { LOGGER.log(Level.WARNING, "Unable to set batch hint", e); } String connectorState; try { if (stateStore != null) { //获取断点状态 connectorState = stateStore.getTraversalState(); } else { throw new IllegalStateException("null TraversalStateStore"); } } catch (IllegalStateException ise) { // We get here if the store for the connector is disabled. // That happens if the connector was deleted while we were asleep. // Our connector seems to have been deleted. Don't process a batch. LOGGER.fine("Halting traversal for connector " + connectorName + ": " + ise.getMessage()); return new BatchResult(TraversalDelayPolicy.ERROR); } DocumentList resultSet = null; if (connectorState == null) { try { LOGGER.fine("START TRAVERSAL: Starting traversal for connector " + connectorName); resultSet = queryTraversalManager.startTraversal(); } catch (Exception e) { LOGGER.log(Level.WARNING, "startTraversal threw exception: ", e); return new BatchResult(TraversalDelayPolicy.ERROR); } } else { try { LOGGER.fine("RESUME TRAVERSAL: Resuming traversal for connector " + connectorName + " from checkpoint " + connectorState); resultSet = queryTraversalManager.resumeTraversal(connectorState); } catch (Exception e) { LOGGER.log(Level.WARNING, "resumeTraversal threw exception: ", e); return new BatchResult(TraversalDelayPolicy.ERROR); } } // If the traversal returns null, that means that the repository has // no new content to traverse. if (resultSet == null) { LOGGER.fine("Result set from connector " + connectorName + " is NULL, no documents returned for traversal."); return new BatchResult(TraversalDelayPolicy.POLL, 0); } Pusher pusher = null; //反馈信息 BatchResult result = null; int counter = 0; try { //同一批次同一个pusher实例 // Get a Pusher for feeding the returned Documents. pusher = pusherFactory.newPusher(connectorName); while (true) { if (Thread.currentThread().isInterrupted() || isCancelled()) { LOGGER.fine("Traversal for connector " + connectorName + " has been interrupted; breaking out of batch run."); break; } if (clock.getTimeMillis() >= timeoutTime) { LOGGER.fine("Traversal batch for connector " + connectorName + " is completing due to time limit."); break; } String docid = null; try { LOGGER.finer("Pulling next document from connector " + connectorName); Document nextDocument = resultSet.nextDocument(); //该resultSet数据集合批次已发送完毕 if (nextDocument == null) { LOGGER.finer("Traversal batch for connector " + connectorName + " at end after processing " + counter + " documents."); break; } else { //System.out.println("resultSet.getClass().getName():"+resultSet.getClass().getName()); //System.out.println("nextDocument.getClass().getName():"+nextDocument.getClass().getName()); // Since there are a couple of places below that could throw // exceptions but not exit the while loop, the counter should be // incremented here to insure it represents documents returned from // the list. Note the call to nextDocument() could also throw a // RepositoryDocumentException signaling a skipped document in which // case the call will not be counted against the batch maximum. counter++; // Fetch DocId to use in messages. try { docid = Value.getSingleValueString(nextDocument, SpiConstants.PROPNAME_DOCID); } catch (IllegalArgumentException e1) { LOGGER.finer("Unable to get document id for document (" + nextDocument + "): " + e1.getMessage()); } catch (RepositoryException e1) { LOGGER.finer("Unable to get document id for document (" + nextDocument + "): " + e1.getMessage()); } } LOGGER.finer("Sending document (" + docid + ") from connector " + connectorName + " to Pusher"); //发布document if (pusher.take(nextDocument) != PusherStatus.OK) { LOGGER.fine("Traversal batch for connector " + connectorName + " is completing at the request of the Pusher," + " after processing " + counter + " documents."); break; } } catch (SkippedDocumentException e) { /* TODO (bmj): This is a temporary solution and should be replaced. * It uses Exceptions for non-exceptional cases. */ // Skip this document. Proceed on to the next one. logSkippedDocument(docid, e); } catch (RepositoryDocumentException e) { // Skip individual documents that fail. Proceed on to the next one. logSkippedDocument(docid, e); } catch (RuntimeException e) { // Skip individual documents that fail. Proceed on to the next one. logSkippedDocument(docid, e); } } // No more documents. Wrap up any accumulated feed data and send it off. if (!isCancelled()) { pusher.flush(); } } catch (OutOfMemoryError e) { pusher.cancel(); System.runFinalization(); System.gc(); result = new BatchResult(TraversalDelayPolicy.ERROR); try { LOGGER.severe("Out of JVM Heap Space. Will retry later."); LOGGER.log(Level.FINEST, e.getMessage(), e); } catch (Throwable t) { // OutOfMemory state may prevent us from logging the error. // Don't make matters worse by rethrowing something meaningless. } } catch (RepositoryException e) { // Drop the entire batch on the floor. Do not call checkpoint // (as there is a discrepancy between what the Connector thinks // it has fed, and what actually has been pushed). LOGGER.log(Level.SEVERE, "Repository Exception during traversal.", e); result = new BatchResult(TraversalDelayPolicy.ERROR); } catch (PushException e) { LOGGER.log(Level.SEVERE, "Push Exception during traversal.", e); // Drop the entire batch on the floor. Do not call checkpoint // (as there is a discrepancy between what the Connector thinks // it has fed, and what actually has been pushed). result = new BatchResult(TraversalDelayPolicy.ERROR); } catch (FeedException e) { LOGGER.log(Level.SEVERE, "Feed Exception during traversal.", e); // Drop the entire batch on the floor. Do not call checkpoint // (as there is a discrepancy between what the Connector thinks // it has fed, and what actually has been pushed). result = new BatchResult(TraversalDelayPolicy.ERROR); } catch (Throwable t) { LOGGER.log(Level.SEVERE, "Uncaught Exception during traversal.", t); // Drop the entire batch on the floor. Do not call checkpoint // (as there is a discrepancy between what the Connector thinks // it has fed, and what actually has been pushed). result = new BatchResult(TraversalDelayPolicy.ERROR); } finally { // If we have cancelled the work, abandon the batch. if (isCancelled()) { result = new BatchResult(TraversalDelayPolicy.ERROR); } //更新断点状态 // Checkpoint completed work as well as skip past troublesome documents // (e.g. documents that are too large and will always fail). if ((result == null) && (checkpointAndSave(resultSet) == null)) { // Unable to get a checkpoint, so wait a while, then retry batch. result = new BatchResult(TraversalDelayPolicy.ERROR); } } if (result == null) { result = new BatchResult(TraversalDelayPolicy.IMMEDIATE, counter, startTime, clock.getTimeMillis()); } else if (pusher != null) { // We are returning an error from this batch. Cancel any feed that // might be in progress. pusher.cancel(); } return result; } 关键代码本人已作了注释，通过遍历该数据集合批次，向docPusher对象提交document对象，遍历document对象执行完毕后更新断点状态用于下次从数据源获取数据
/** * 保存断点状态 * @param pm * @return */ private String checkpointAndSave(DocumentList pm) { String connectorState = null; LOGGER.fine("CHECKPOINT: Generating checkpoint for connector " + connectorName); try { connectorState = pm.checkpoint(); } catch (RepositoryException re) { // If checkpoint() throws RepositoryException, it means there is no // new checkpoint. LOGGER.log(Level.FINE, "Failed to obtain checkpoint for connector " + connectorName, re); return null; } catch (Exception e) { LOGGER.log(Level.INFO, "Failed to obtain checkpoint for connector " + connectorName, e); return null; } try { if (connectorState != null) { if (stateStore != null) { stateStore.storeTraversalState(connectorState); } else { throw new IllegalStateException("null TraversalStateStore"); } LOGGER.fine("CHECKPOINT: " + connectorState); } return connectorState; } catch (IllegalStateException ise) { // We get here if the store for the connector is disabled. // That happens if the connector was deleted while we were working. // Our connector seems to have been deleted. Don't save a checkpoint. LOGGER.fine("Checkpoint discarded: " + connectorState); } return null; } 取消执行方法通过设置布尔变量值，注意需要考虑同步
/** * 取消执行 */ @Override public void cancelBatch() { synchronized(cancelLock) { cancelWork = true; } LOGGER.fine("Cancelling traversal for connector " + connectorName); } ---------------------------------------------------------------------------
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