How does Kafka handle timeout exception?
To handle the timeout exceptions, the general practice is: Rule out broker side issues. make sure that the topic partitions are fully replicated, and the brokers are not overloaded. Fix host name resolution or network connectivity issues if there are any.
Why Kafka consumer is not thread safe?
The Kafka consumer is NOT thread-safe. All network I/O happens in the thread of the application making the call. It is the responsibility of the user to ensure that multi-threaded access is properly synchronized. Un-synchronized access will result in ConcurrentModificationException .
What is Kafka timeout?
session.timeout.ms The timeout used to detect consumer failures when using Kafka’s group management facility. The consumer sends periodic heartbeats to indicate its liveness to the broker.
What is linger MS in Kafka?
linger.ms refers to the time to wait before sending messages out to Kafka. It defaults to 0, which the system interprets as ‘send messages as soon as they are ready to be sent’.
How do I change batch size in Kafka?
size measures batch size in total bytes instead of the number of messages. It controls how many bytes of data to collect before sending messages to the Kafka broker. Set this as high as possible, without exceeding available memory. The default value is 16384.
What if Kafka broker goes down?
During a broker outage, all partition replicas on the broker become unavailable, so the affected partitions’ availability is determined by the existence and status of their other replicas. If a partition has no additional replicas, the partition becomes unavailable.
How do I keep my Kafka consumer running?
And it also state that The interesting part here is the while (it. hasNext()) section. Basically this code reads from Kafka until you stop it .. So ideally it should be keep on running unless and until we kill it explicitly and once a new message has been produced the same would be available on the consumer side.
How does Kafka resolve consumer lag?
3 Answers
- Monitor how much lag is getting reduced in unit time (per minute, let’s assume) by each consumer.
- If the rate of lag reduction is still too low, and you’d like to increase it, then add appropriate number of consumers.
- Make sure all your consumers are in the same consumer group.
How can Kafka improve consumer performance?
Increasing the number of partitions and the number of brokers in a cluster will lead to increased parallelism of message consumption, which in turn improves the throughput of a Kafka cluster; however, the time required to replicate data across replica sets will also increase.
How do you speed up Kafka?
How do I speed up Kafka producer?
Create a topic In general, a higher number of topic partitions results in higher throughput, and to maximize throughput, you want enough partitions to distribute them across the brokers in your cluster.
How can I make Kafka producer faster?
Run a producer performance test with optimized throughput
- batch.size : increase to 100000–200000 (default 16384)
- linger.ms : increase to 10–100 (default 0)
- compression.type=lz4 (default none , i.e., no compression)
- acks=1 (default all , since Apache Kafka version 3.0)
Why do we have 3 replications in Kafka?
Replication Factor in Kafka is basically the multiple copies of data over the multiple brokers. Replication is done to ensure the high availability of data and secures the data loss when the broker fails or unavailable to serve the request.
How do you survive a Kafka outage?
So what can you do about it?
- Drop failed messages.
- Exert backpressure further up the application and retry sends.
- Send all messages to alternative local storage, from which they will be ingested into Kafka asynchronously.
- Send timed-out messages to local storage and ingest them into Kafka by a side process.
How do you reduce consumer lag in Kafka?
What causes consumer lag Kafka?
Basically, anything that can slow down consuming data from the Kafka Broker will cause the Consumer Lag making the processing fall behind in processing the data.
What is the relationship between producer and Kafka cluster?
Producer server and Kafka cluster are in same network. I am making synchronous calls. There’s a web service to which multiple user requests call to send their data. Kafka web service has one Producer object which does all the sending.
What is the timeout exception in Salesforce?
The Timeout Exception would happen if the value of “advertised.listeners” (protocol://host:port) is not reachable by the producer or consumer check the configuration of property “advertised.listeners” by the following command: Show activity on this post. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.
How do I reduce the waiting time of an external producer?
If the Producer is an external Software or system , then check the max.block.ms value. This value also decides the waiting period of the client (external Producer – software\\system) . This value should be in tandem with request.timeout.ms value. Try decreasing max.block.ms value.Default is 60000.