Hi there! I found this link that might assist with answering your question: go.aws/4ecXY9K. 🔗 For any additional help, feel free to reach out to our community of experts over at re:Post: go.aws/aws-repost. 🤓 ^AK

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@@awssupport This means it is possible, Right ?

Hello, here's an example of a table schema for a `movies` table that includes arrays for genres and production companies: ```sql CREATE TABLE movies ( id SERIAL PRIMARY KEY, title TEXT NOT NULL, release_year INTEGER, genres TEXT[] NOT NULL, production_companies TEXT[] ); ``` In this schema, the `genres` column is defined as a `TEXT[]` data type, which represents an array of text values. Similarly, the `production_companies` column is also an array of text values. To insert data into this table, you can use the array literal syntax: ```sql INSERT INTO movies (title, release_year, genres, production_companies) VALUES ( 'The Shawshank Redemption', 1994, ARRAY['Drama', 'Crime'], ARRAY['Castle Rock Entertainment', 'Columbia Pictures'] ); INSERT INTO movies (title, release_year, genres, production_companies) VALUES ( 'The Godfather', 1972, ARRAY['Crime', 'Drama'], ARRAY['Paramount Pictures', 'Alfran Productions'] ); ``` In this example, we're inserting two movies: "The Shawshank Redemption" and "The Godfather". For each movie, we specify the genres and production companies as arrays of text values. To query the data, you can use array operators and functions provided by PostgreSQL: ```sql -- Get movies with the 'Drama' genre SELECT title, genres FROM movies WHERE 'Drama' = ANY(genres); -- Get movies with multiple production companies SELECT title, production_companies FROM movies WHERE array_length(production_companies, 1) > 1; ``` In the first query, we're using the `ANY` operator to find movies where the 'Drama' genre exists in the `genres` array. In the second query, we're using the `array_length` function to find movies where the `production_companies` array has more than one element. PostgreSQL provides many more array functions and operators that you can use to manipulate and query array data types effectively. This is just a simple example, but it should give you an idea of how to store and work with array data types like movie metadata in a PostgreSQL database. The AWS documentation may not cover this specific use case in detail. For additional guidance, please reach out to collective of engineers via: go.aws/aws-repost. ^AR