31 окт. 2022 г. · You can use JSON_PARSE instead of JSON_EXTRACT_PATH_TEXT, it returns super data type that can easily access to json objects. Flattening JSON data of unknown length Redshift SQL Return elements of Redshift JSON array on separate rows how to unnest a json string array on redshift - Stack Overflow Redshift | JSON Flattening and storing it in a table Другие результаты с сайта stackoverflow.com

With JSON_PARSE, you only need to convert JSON text to a SUPER type value once at ingestion, after which you can operate on the SUPER values.

28 апр. 2021 г. · In this tutorial, we are going to unnest fields from a table in Amazon Redshift, which does not yet support native flattening functions.

12 нояб. 2021 г. · An example of Redshift's support for ELT is the SUPER column type, which allows the storage of structured (JSON) data directly in Redshift ...

Merges multiple arrays into a single array of SUPER type. Syntax: array_flatten( super_expr1,super_expr2,.. )

13 мая 2019 г. · Unnesting arrays on Redshift is a pain, but it's doable. This post walks through the entire process, start to finish.

7 апр. 2023 г. · Redshift spectrum supports creating columns of STRUCT, ARRAY datatype which can further be used to flatten out the data. Please find below ...

22 нояб. 2023 г. · In this introductory guide, we will explore the steps and best practices for using AWS Glue to load nested JSON data into Amazon Redshift.

24 сент. 2020 г. · Use AWS glue result to flatten json input, generate redshift create table command and jsonpaths file for COPY job - parser.py.

Until recently, extracting data from JSON in Redshift was extremely cumbersome. This tutorial shows you a new, easier way of working with JSON in Redshift.