JSON data handling
1. JSON data handling
person: In this section, we'll explore best practices involving handling JSON data. Processing JSON strings in dataflow is a common need, for example, when processing click stream information captured from web applications. To process JSON strings, you often need to convert them into either rows or plain old Java objects, also known as POJOs, for the duration of the pipeline processing. The Apache Beam built-in transform JsonToRow is a good solution for converting JSON strings to rows. If you need to convert JSON strings to a POJO using AutoValue, register a schema for the type by using the @DefaultSchema annotation. Then, use the Convert utility class so you end up with code similar to the following code snippet. The structure of JSON data may change frequently. Use Deadletter pattern to handle unsuccessful messages resulting from unexpected structures or schemas. For more details, refer to Queueing Unprocessable Data for further analysis.2. Let's practice!
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