10 февр. 2020 г. · Here is one way to do it using a number table; you need to populate the table with incrementing numbers starting at 0.

28 мая 2024 г. · Redshift has 2 functions for parsing JSON strings - JSON_EXTRACT_PATH_TEXT() and JSON_EXTRACT_ARRAY_ELEMENT_TEXT().

14 сент. 2021 г. · This can be done with json string parsing functions. SELECT file_attr, json_extract_path_text(file_attr, 'deviceinfo') as deviceinfo, ...

13 апр. 2022 г. · You need to extract the object from the array before using JSON_EXTRACT_PATH_TEXT(). The junction for this is JSON_EXTRACT_ARRAY_ELEMENT_TEXT().

29 мар. 2024 г. · You need to use JSON_EXTRACT_PATH_TEXT() to parse named json keys but JSON_EXTRACT_ARRAY_ELEMENT_TEXT() to parse json arrays. You'll need to ...

19 дек. 2023 г. · I tried with json_extract_path_text and getting error. How do I loop through this array and make them as separate columns/rows in a table.

10 мар. 2022 г. · I've got a column of data with values that looks almost like nested json, but some of jsons got \ between values and I need to clean them.

13 нояб. 2016 г. · Amazon Redshift also has a JSON_EXTRACT_PATH_TEXT Function that can extract data from a JSON string, but again it wouldn't handle the one-to- ...

24 янв. 2020 г. · I am parsing a JSON field in Redshift but the values are 6 levels deep. AWS says JSON_EXTRACT_PATH_TEXT has a 5 level limitation.

17 июл. 2021 г. · Can we unnest a JSON in redshift without using any cross joins or cartesian products and query to reduce the time and space complexity?