This API will commit the latest offset returned by poll() and return once the offset is committed, throwing an exception if commit fails for some reason. By setting enable.auto.commit=false, offsets will only be committed when the application explicitly chooses to do so. In this example the consumer is subscribing to the topics foo and bar as part of a group of consumers called test as configured with group.id. By default, as the consumer reads messages from Kafka, it will periodically commit its current offset (defined as the offset of the next message to be read) for the partitions it is reading from back to Kafka. auto.commit.offset=false - This is the default setting. Means the consumer API can take the decision to retail the message of the offset or commit it. Consumer auto-commits the offset of the latest read messages at the configured interval of time. Kafka needs access to the server consumer. Setting enable.auto.commit means that offsets are committed automatically with a frequency controlled by the config auto.commit.interval.ms. There are certain risks associated with this option. enable_auto_commit_config -> "false", "spark.kafka.poll.time" -> pollTimeout In this example, the code works unchanged on both Kafka and Streams, because Streams ignores the bootstrap-related parameter. The deserializer settings specify how to turn bytes into objects. This is why the stream example above sets “enable.auto.commit” to false. The benefit as compared to checkpoints is that Kafka is a durable store regardless of changes to your application code. auto.commit.offset=true - Once the message is consumed by the consumer, the offset is committed if consumer API … In this case you can set enable.auto.commit to false and call the commit method on the consumer. For the approaches mentioned in this section, if using the spark-streaming-kafka-0-10 library, we recommend users to set enable.auto.commit to false. In this case you must commit offsets manually or you can set enable-auto-commit to true. The simplest and most reliable of the commit APIs is commitSync() . To use the consumer’s commit API, you should first disable automatic commit by setting enable.auto.commit to false in the consumer’s configuration. enable.auto.commit… FIXME. These examples are extracted from open source projects. If we make enable.auto.commit = true and set auto.commit.interval.ms=2000 , then consumer will commit the offset every two seconds. Otherwise because you don't commit offsets, your current offset will always be zero. The problem when you immediately close tickets like this is there is no real direction in how to handle this VERY COMMON Kafka scenario. props.put("enable.auto.commit", "false"); The commit API itself is trivial to use, but the most important point is how it … Answer to 2nd question: You don't have to manually supply partitions to read from. However, you can commit offsets to Kafka after you know your output has been stored, using the commitAsync API. The "client" you're referring to has no control over the "server" message offsets. The following are 30 code examples for showing how to use kafka.KafkaConsumer(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. It also makes this sort of problem less visible to other Kafka users. 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