This configuration value aspects Along with the exception handling course that implements the Deserialization ExceptionHandler interface.
The timestamp returned by broker right after appending the messages. If CreateTime is used for The subject, the timestamp are going to be -one. If LogAppendTime is useful for the topic, the timestamp would be the broker regional time in the event the messages are appended.
To put it briefly, this enables simplified, details streaming among Kafka and external units, in order to simply take care of real-time data and scale inside of any sort of infrastructure.
The client would not need to have to help keep polling to check out In the event the cluster has modified; it may possibly fetch metadata as soon as when it's instantiated cache that metadata until it gets an error indicating the metadata is out of date.
The number of partitions to generate in The subject, or -1 if we're either specifying a handbook partition assignment or using the default partitions.
The duration in milliseconds for which the request was throttled resulting from a quota violation, or zero In case the request did not violate any quota.
The timestamp returned by broker just after appending the messages. If CreateTime is used for the topic, the timestamp is going to be -one. If LogAppendTime is utilized for the topic, the timestamp would be the broker community time when the messages are appended.
The period in milliseconds for which the ask for was throttled as a result of a quota violation, or zero Should the ask for did not violate any quota.
Period in milliseconds for which the ask for was throttled resulting from a quota violation, or zero if the ask for did not violate any quota.
The period in milliseconds for kafka which the request was throttled as a consequence of a quota violation, or zero if the ask for did not violate any quota.
The period in milliseconds for which the request was throttled as a consequence of a quota violation, or zero In the event the request didn't violate any quota.
The length in milliseconds for which the ask for was throttled as a result of a quota violation, or zero If your request didn't violate any quota.
Kafka is a dispersed System—it runs as a fault-tolerant, highly available cluster which can span a number of servers as well as numerous facts centers. Kafka subjects are partitioned and replicated in such a way that they can scale to provide substantial volumes of simultaneous buyers without having impacting effectiveness.
The length in milliseconds for which the request was throttled due to a quota violation, or zero In case the ask for did not violate any quota.