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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 inference or schema hints in their pipeline. Upon reviewing the data, the data engineer has noticed that all of the columns in the target table are of the string type despite some of the fields only including float or boolean values.
Which of the following describes why Auto Loader inferred all of the columns to be of the string type?
A
There was a type mismatch between the specific schema and the inferred schema
B
JSON data is a text-based format
C
Auto Loader only works with string data
D
All of the fields had at least one null value
E
Auto Loader cannot infer the schema of ingested data
Explanation:
Correct Answer: B - JSON data is a text-based format
When Auto Loader ingests JSON data without explicit schema hints or type inference, it treats all columns as strings because JSON is fundamentally a text-based format. Here's why:
JSON Format Characteristics: JSON (JavaScript Object Notation) stores data as text strings. Even numeric values like 123.45 or boolean values like true/false are represented as text in JSON files.
Auto Loader's Default Behavior: Without explicit schema information, Auto Loader performs schema inference by sampling the data. However, since JSON stores everything as text, Auto Loader's default inference often results in string types for all columns.
Why Other Options Are Incorrect:
Solution: To get proper data types, the data engineer should:
.schema()cloudFiles.schemaHintscloudFiles.schemaEvolutionMode with appropriate settingsThis behavior is specific to JSON format and is a common consideration when working with Auto Loader for JSON data ingestion.