Hi @learning_1989, To successfully read a nested JSON file within Databricks, utilizing PySpark is the key.
Follow these steps to get started:
1. Begin by reading the JSON file: Harness the power of the spark.read.json function to read your JSON file. In the case of a multiline file, setting the multiline option to true is crucial.
2. Transforming a nested JSON: In case your JSON file features nested structures, you can easily flatten them using the handy explode function and the $"column.*" method.
3. Selecting certain elements: To extract specific fields from the JSON, simply utilize the <column-name>:<extraction-path> syntax.
If you are working with larger JSON files, it's important to take performance-enhancing measures like caching or partitioning into account. Be sure to replace "file_path" with the correct path to your JSON file.