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Скачать или смотреть Resolving SerializationException in Apache Beam Kafka IO for JSON Messages

  • vlogize
  • 2025-09-16
  • 1
Resolving SerializationException in Apache Beam Kafka IO for JSON Messages
Apache Beam Kafka IO for Json messages - org.apache.kafka.common.errors.SerializationExceptiongoogle cloud platformapache kafkagoogle cloud dataflowkafka consumer apiapache beam
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Описание к видео Resolving SerializationException in Apache Beam Kafka IO for JSON Messages

Learn how to solve the `SerializationException` error when using Apache Beam Kafka IO with JSON messages. This post covers practical solutions and troubleshooting tips.
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This video is based on the question https://stackoverflow.com/q/62709516/ asked by the user 'Manohar' ( https://stackoverflow.com/u/13094120/ ) and on the answer https://stackoverflow.com/a/62717992/ provided by the user 'Alexey Romanenko' ( https://stackoverflow.com/u/10687325/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Apache Beam Kafka IO for Json messages - org.apache.kafka.common.errors.SerializationException

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding the SerializationException in Apache Beam Kafka IO

If you're diving into Apache Beam Kafka IO, you might encounter a frustrating error: the SerializationException. This issue appears when you're attempting to read messages from a Kafka topic, particularly when the data format doesn't match the expected type. Understanding why this happens can help you resolve the issue effectively.

Here's an example of the error message you might see:

[[See Video to Reveal this Text or Code Snippet]]

This error typically arises due to a mismatch between the data being deserialized and the deserializer being used. In this blog, we'll explore the underlying causes of this error and discuss how to address it.

What Causes SerializationException?

The SerializationException you encounter typically indicates that the data type you're trying to deserialize doesn't align with how it was serialized:

Mismatched Deserialization: For instance, you might have serialized Kafka message keys using a different serializer than LongSerializer. When you try to read these records with LongDeserializer, the system expects 8 bytes of data but finds something else, resulting in a serialization error.

Key Importance: If the keys of the Kafka messages are not crucial for your application logic, it might be prudent to simplify your deserialization strategy.

Solutions to the Problem

Here are two potential solutions to resolve the SerializationException:

1. Use the Appropriate Deserializer

If you know what type of data was used to serialize the keys of your Kafka messages, you should use the corresponding deserializer. For instance, if your keys were serialized with a StringSerializer, you should implement the StringDeserializer as well.

Example Code Update: Modify the deserializer in your code accordingly:

[[See Video to Reveal this Text or Code Snippet]]

2. Use StringDeserializer as a Workaround

If the keys are not relevant to your application’s processing logic, and you face continuous issues related to deserialization:

You can switch to using StringDeserializer for keys. This simplifies the deserialization process and can sidestep the serialization issue altogether.

Example Code Update:

[[See Video to Reveal this Text or Code Snippet]]

Implementing the Changes

Here’s a snippet of how to adjust your original pipeline code if you decide to use StringDeserializer:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Encountering the SerializationException while using Apache Beam Kafka IO can be daunting, but understanding its cause and applying one of the proposed solutions can alleviate the issue. Whether you choose to implement the correct deserializer or opt for a workaround, these adjustments can help you successfully process your Kafka messages.

If you continue to struggle with other serialization issues or have questions about improving your Kafka and Beam workflow, feel free to reach out for further guidance!

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