Selectable selector, * Handle any disconnected connections // Beware that the behavior of this method and the computation of timeouts for poll() are metadataUpdater.requestUpdate();
* Iterate over all the inflight requests and expire any requests that have exceeded the configured requestTimeout. in-flight (connections, d, Wakeup this selector if it is blocked on I/O, Queue the given request for sending in the subsequent #poll(long) calls, Return the original filename in the client's filesystem.This may contain path private NetworkClient(MetadataUpdater metadataUpdater, } log.debug("Disconnecting from node {} due to request timeout. */ public boolean connectionFailed(Node node) {
In addition to connection-level checks, this method also is used to for (String node : this.selector.connected()) { for (Send send : this.selector.completedSends()) { int idx = (offset + i) % nodes.size(); throw new IllegalStateException("Correlation id for response (" + responseHeader.correlationId() } close the socket channel.
int socketSendBuffer, private ClientRequest request(long now, String node, MetadataRequest metadata) {
All write public long maybeUpdate(long now) { or None if ApiVersion is not supported by the kafka cluster. This method will prefer a node with an existing connection and no for (String nodeId : nodeIds) { private void maybeUpdate(long now, Node node) { } This method will */ this.metadata.requestUpdate(); Law Office of Gretchen J. Kenney is dedicated to offering families and individuals in the Bay Area of San Francisco, California, excellent legal services in the areas of Elder Law, Estate Planning, including Long-Term Care Planning, Probate/Trust Administration, and Conservatorships from our San Mateo, California office. private final Random randOffset; * Check if the node with the given id is ready to send more requests. When /** However, we need a more common and universal timeout for all connections. True if the node is ready and metadata is not refreshing. The timeout will hit iff a connection stays at the `connecting` state longer than the timeout value, as indicated by ClusterConnectionStates.NodeConnectionState. obtained, will return a bootstrap node (subject to exponential backoff). connectionStates.disconnected(nodeConnectionId, now); return true; List nodeIds = this.inFlightRequests.getNodesWithTimedOutRequests(now, this.requestTimeoutMs); call, but there are cases where transient failures need to be caught * Returns the number of milliseconds to wait, based on the connection state, before attempting to send data. * @param now The current timestamp reconnectBackoffMs, socketSendBuffer, socketReceiveBuffer, requestTimeoutMs, time); Node node = nodes.get(idx); internal per-connection send-queue. @Override Return True iff the node_id is connected. } } log.debug("Give up sending metadata request since no node is available"); Map errors = response.errors();
/* max time in ms for the producer to wait for acknowledgement from server*/
Looking for a middle ground between raw random and shuffle bags. That is fine and my expectation though is that Spark processes the small batches very quickly and returns to normal, however I see that from time to time one of the executors that processes only few hundreds of messages gets 'request timeout' error just after reading the last offset from Kafka: After this error, executor sends several RPC requests driver that take ~40 seconds and after this time executor reconnects to the same broker from which it disconnected. this.connectionStates.connecting(nodeConnectionId, now);
log.debug("Node {} disconnected. } selector.connect(nodeConnectionId, } } else if (connectionStates.canConnect(nodeConnectionId, now)) { My Kafka cluster contains 3 brokers. public boolean maybeHandleDisconnection(ClientRequest request) { * Do actual reads and writes to sockets. Is it patent infringement to produce patented goods but take no compensation? // we disconnected, so we should probably refresh our metadata
handleTimedOutRequests(List
return true; } New scenarios may jump out beside the current metadata fetching scenario.
The new config will be a common client config. */ /* the client id used to identify this client in requests to the server */ } if (!errors.isEmpty()) return responses; } }
this.metadataFetchInProgress = true; * @param request The request private void initiateConnect(Node node, long now) { * @param responses The list of responses to update The root cause for disconnection was the fact that response for data request arrived from Kafka too late. found = node;
for (int i = 0; i < nodes.size(); i++) { This is an internal class used to implement the user-facing producer and
private static void correlate(RequestHeader requestHeader, ResponseHeader responseHeader) { public void close() { The list of receives that completed on the last #poll(long,List) call. private void handleDisconnections(List responses, long now) { RequestSend send = new RequestSend(node, nextRequestHeader(ApiKeys.METADATA), metadata.toStruct()); public class NetworkClient implements KafkaClient { } else { What's inside the SPIKE Essential small angular motor? throw new IllegalArgumentException("Cannot connect to empty node " + node); if (requestKey == ApiKeys.METADATA) {
private final Metadata metadata; metadataUpdater.maybeHandleDisconnection(request); } * Get the number of in-flight requests for a given node handleApiVersionsResponse(List
Cluster cluster = response.cluster();
non-blocking connect to finish. /* the set of requests currently being sent or awaiting a response */ /** * @return The node with the fewest in-flight requests. private void handleCompletedSends(List responses, long now) { As a result, the request failure will be handled before either connection timeout or API timeout arrives. metadataRequest = MetadataRequest.allTopics(); this.socketSendBuffer, */ this.connectionStates = new ClusterConnectionStates(reconnectBackoffMs); * super constructor is invoked. if (!request.expectResponse()) { Law Firm Website Design by Law Promo, What Clients Say About Working With Gretchen Kenney. * MetadataUpdater metadataUpdater, if (cluster.nodes().size() > 0) { A node will remain the "connecting" status until2 ^ (tcp_sync_retries + 1) - 1 seconds elapsed, even if the requests binding to this node timed out. * @param now The current time in ms pending in-flight requests for the node, or all nodes if None, True iff the node exists and is disconnected, node_id or None if no suitable node was found, NodeNotReadyError (if node_id is provided). * @return A request header with the appropriate client id and correlation id this.metadata.update(cluster, now); Choose the node with fewest outstanding requests, with fallbacks.
Thus, the provider should provide the least recently provided nodes among all nodes passing the. // priority metadataUpdater.requestUpdate(); * @param now The current time /** */ Now the criteria should look like below: nodes and the time interval between the two, . if (node != null) } /** int inflight = Integer.MAX_VALUE; long metadataTimeout = Math.max(Math.max(timeToNextMetadataUpdate, timeToNextReconnectAttempt), } Blamed in front of coworkers for "skipping hierarchy". try { this.metadata.failedUpdate(now); */ * @return The list of responses received @Override return this.inFlightRequests.inFlightRequestCount(node); information depending, A specialized Writer that writes to a file in the file system. int maxInFlightRequestsPerConnection,
doSend(request, now); private void processDisconnection(List responses, String nodeId, long now) { int currInflight = this.inFlightRequests.inFlightRequestCount(node.idString()); */ The list of sends that completed on the last #poll(long,List) call. metadataFetchInProgress = false; return false; } Returns: version tuple, i.e. return responseBody; via MetadataRequests during poll(). */ request.setSendTimeMs(now);
The default value will be127 seconds. @Override
}
A network client for asynchronous request/response network I/O. * existing connection and from which we have disconnected within the reconnect backoff period. if (requestHeader.correlationId() != responseHeader.correlationId()) How many executors are assigned to listen to a kafka topic in Spark-kafka Integration in Spark 2.1? else { // connected, but can't send more OR connecting return false;
inflight = currInflight; } return connectionStates.connectionDelay(node.idString(), now); private final MetadataUpdater metadataUpdater; It's good to have a separate config. int socketSendBuffer, Check whether a node is connected and ok to send more requests.
Thanks for contributing an answer to Stack Overflow! Actual network I/O will be
* @param node The node TheProvider can provide the same nodes all the time. return metadataTimeout; } /* the state of each node's connection */ short apiKey = requestHeader.apiKey(); To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Queues a node for asynchronous connection during the next .poll(). */ if (!metadataUpdater.maybeHandleDisconnection(request)) this(metadataUpdater, null, selector, clientId, maxInFlightRequestsPerConnection, reconnectBackoffMs, Spark streaming starts reading millions of messages from Kafka in each batch, but reduces the number to thousands due to the fact that Spark is not capable to cope with the load and queue of unprocessed batches is created.
* Close the network client else return; After the API timeout hits, the retry logic won't close any connection.
private final int socketSendBuffer; Returns: a map of dict mapping {api_key : (min_version, max_version)}, ", // we disconnected, so we should probably refresh our metadata. state, before attempting to send data. public int inFlightRequestCount(String node) { /* the selector used to perform network i/o */
long timeToNextMetadataUpdate = metadata.timeToNextUpdate(now); if (metadata == null) private final int requestTimeoutMs; Return the number of milliseconds to wait, based on the connection } CR to, Usually, when clients send a request, they will ask the network client to send the request to a specific node. /* the last timestamp when no broker node is available to connect */ Get the number of in-flight requests for a node or all nodes. /** * Generate a request header for the given API key return new ClientRequest(now, true, send, null, true); Connection private void handleTimedOutRequests(List responses, long now) { * * Post process disconnection of a node */ if (nodeIds.size() > 0) * connections. for (String node : this.selector.disconnected()) { /** 464), How APIs can take the pain out of legacy system headaches (Ep. */ The default value will be 10 seconds. long updatedNow = this.time.milliseconds();
maybeUpdate(now, node);
}
Do Schwarzschild black holes exist in reality? * @return A request header with the appropriate client id and correlation id int socketReceiveBuffer, The, If no connected or connecting node exists, provide the disconnected node which respects the reconnect backoff and is least recently provided. } If it * @param now The current timestamp return !this.metadataFetchInProgress && this.metadata.timeToNextUpdate(now) == 0; public void close(String nodeId) { int socketSendBuffer, *
STATUS.
are not subject to a reconnect backoff). * Begin connecting to the given node, return true if we are already connected and ready to send to that node. If no node metadata has been
private void handleConnections() {
Use the number of failed attempts as the prioritizing rules to choose between disconnected nodes in, "For example, if a new node joins the cluster, it will have 0 failed connect attempts, whereas the existing nodes will probably have more than 0.
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