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The JSON data type and functions that support it comprise one of the most interesting features in...
The JSON data type and functions that support it comprise one of the most interesting features introduced in MySQL 5.7 for application developers. But no feature is a Golden Hammer. We need to apply a little expertise to get the best of it, and avoid misusing it. I’ll show practical examples that work well with JSON, and other scenarios where conventional columns would perform better. Questions addressed in this presentation: How much space does JSON data use, compared to conventional data? What is the performance of querying JSON vs. conventional data? How do I create indexes for JSON data? What kind of data is best to store in JSON? How do I get the best of both worlds?