Avro Schema Compatibility In Kafka

Kevin Feasel

2018-03-27

Hadoop

Neha Bhardwaj walks us through an error in Kafka:

You might have come across a similar exception while working with AVRO schemas.

Kafka throws this exception due to a compatibility issue since the current schema is not compatible with the earlier schema registered on this topic.

You can check the current schema(s) on the topic using:
curl -X GET <a href=”http://localhost:8081/subjects//versions/”&gt;http://localhost:8081/subjects//versions/

Read on to understand what this error means and how you can fix it if you see it.

Related Posts

Pivoting Spark DataFrames

Unmesha Sreeveni shows how we can pivot a DataFrame in Apache Spark using one line of code: A pivot can be thought of as translating rows into columns while applying one or more aggregations. Lets see how we can achieve the same using the above dataframe. We will pivot the data based on “Item” column. […]

Read More

Troubleshooting Spark Performance

Bikas Saha and Mridul Murlidharan explain some of the basics of performance tuning with Apache Spark: Our objective was to build a system that would provide an intuitive insight into Spark jobs that not just provides visibility but also codifies the best practices and deep experience we have gained after years of debugging and optimizing […]

Read More

Categories

March 2018
MTWTFSS
« Feb Apr »
 1234
567891011
12131415161718
19202122232425
262728293031