A data engineer has developed a data pipeline to ingest data from a JSON source using Auto Loader, but the engineer has not provided any type…

JSON data is a text-based format that represents data as a collection of name-value pairs. By default,

when Auto Loader infers the schema of JSON data, it treats all columns as strings. This is because

JSON data can have varying data types for the same column across different files or records, and Auto

Loader does not attempt to reconcile these differences. For example, a column named “age” may

have integer values in some files, but string values in others. To avoid data loss or errors, Auto Loader

infers the column as a string type. However, Auto Loader also provides an option to infer more

precise column types based on the sample data. This option is called cloudFiles.inferColumnTypes

and it can be set to true or false. When set to true, Auto Loader tries to infer the exact data types of

the columns, such as integers, floats, booleans, or nested structures. When set to false, Auto Loader

infers all columns as strings. The default value of this option is false. Reference: Configure schema

inference and evolution in Auto Loader, Schema inference with auto loader (non-DLT and DLT), Using

and Abusing Auto Loader’s Inferred Schema, Explicit path to data or a defined schema required for

Auto loader.