Tracking Kafka Consumer Lag

Simarpreet Kaur Monga has a Scala-based example showing how to calculate Kafka offset lag for consumers:

The Consumer can subscribe to multiple topics, you need to pass the list of topics you want to consume from. For the sake of simplicity, I have just passed a single topic to consume from.

Now that the consumer has subscribed to the topic, it can consume from that topic.

The consumer maintains an offset to keep the track of the next record it needs to read.

Now, let us see how we can find the consumer offsets.

The Consumer offsets can be found using the method offset of class ConsumerRecord. This offset points to the record in a Kafka partition. The consumer consumes the records from the topic in the form of an object of class ConsumerRecord. The class ConsumerRecord also consists of a topic name and a partition number from which the record is being received, and a timestamp as marked by the corresponding ProducerRecord (the record sent by the producer).

Click through for the rest of the story.

Related Posts

Comparing Performance: HBase1 vs HBase2

Surbhi Kochhar takes us through performance improvements between HBase version 1 and HBase version 2: We are loading the YCSB dataset with 1000,000,000 records with each record 1KB in size, creating total 1TB of data. After loading, we wait for all compaction operations to finish before starting workload test. Each workload tested was run 3 […]

Read More

The Transaction Log in Delta Tables

Burak Yavuz, et al, explain how the transaction log works with Delta Tables in Apache Spark: When a user creates a Delta Lake table, that table’s transaction log is automatically created in the _delta_log subdirectory. As he or she makes changes to that table, those changes are recorded as ordered, atomic commits in the transaction log. Each commit […]

Read More

Categories

November 2017
MTWTFSS
« Oct Dec »
 12345
6789101112
13141516171819
20212223242526
27282930