12 дек. 2018 г. · You can use split_part select product_id, split_part(split_part('tag1:value1&tag2:value2', '&', 1), ':', 1) as tag1, split_part(split_part('tag1:value1&tag2: |
2 дек. 2022 г. · How do I split_part an entire column(word-by-word)? I am trying to split the column "answer" into each word. eg this is my dataset: name, answer ... |
17 окт. 2017 г. · The next step (splitter) just takes a number of rows equal to the max number of delimiters + 1 (which is the max number of segments) |
24 февр. 2021 г. · I am working with Amazon Redshift here and I am confused about how can I split them out as needed. Is this possible to do by any chance? AWS ... |
19 нояб. 2020 г. · I'm new to Redshift and I stumbled across a scenario wherein my procedure, I wanted to split a string and iterate it through and do some manipulations in it. |
16 авг. 2021 г. · You will need to modify the string so that it is a single valid json. By adding {"line": [ to the beginning and ]} to the end AND commas between the elements ... |
30 мая 2019 г. · If the number of columns being outputted is fixed then you can use Redshift's String_Part function. SELECT col1, STRING_PART(col1, ... |
9 сент. 2022 г. · Have you looked at SPLIT_PART? That allows you to specify a delimiter that will chunk your string into individual columns. You can use that in a ... |
13 сент. 2022 г. · You can use the function JSON_PARSE to convert the varchar string into an array. Then you can use the strategy described in Convert varchar array to rows in ... |
31 дек. 2020 г. · Redshift doesn't have a native json datatype but it does have json parsing functions. What you have stored in the "items" column is text, not json. |
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