JSON in Databricks and PySpark

Tips and tricks for handling JSON data within Databricks with PySpark

In the simple case, JSON is easy to handle within Databricks. You can read a file of JSON objects directly into a DataFrame or table, and Databricks knows how to parse the JSON into individual fields. But, as with most things software-related, there are wrinkles and variations. This article shows how to handle the most common situations and includes detailed coding examples.

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databricks data science json programming pyspark