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Load BLOB files into TEXT by using file encoding in Aurora PostgreSQL-Compatible

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Often during migration, there are cases where you have to process unstructured and structured data that is loaded from files on a local file system. The data might also be in a character set that differs from the database character set.

These files hold the following types of data:

  • Metadata – This data describes the file structure.

  • Semi-structured data – These are textual strings in a specific format, such as JSON or XML. You might be able to make assertions about such data, such as "will always start with '<' " or "does not contain any newline characters."

  • Full text – This data usually contains all types of characters, including newline and quote characters. It might also consist of multibyte characters in UTF-8.

  • Binary data – This data might contain bytes or combinations of bytes including, nulls and end-of-file markers.

https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/load-blob-files-into-text-by-using-file-encoding-in-aurora-postgresql-compatible.html?did=pg_card&trk=pg_card

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Load BLOB files into TEXT by using file encoding in Aurora PostgreSQL-Compatible