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          November 15, 2024 17:01 
        
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    Parse Postgres TIMESTAMPs from JSON blobs
  
        
  
    
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  | CREATE FUNCTION text_to_timestamp(text) RETURNS TIMESTAMP | |
| LANGUAGE sql IMMUTABLE AS | |
| $$ | |
| SELECT CASE | |
| WHEN $1 ~ '^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}(\.\d+)?$' THEN | |
| CAST($1 AS timestamp without time zone) | |
| END | |
| $$; | |
| CREATE TABLE t ( | |
| id SERIAL NOT NULL, | |
| title VARCHAR(255) generated always as (item ->> 'title') stored, | |
| start_date TIMESTAMP generated always as (text_to_timestamp(item ->> 'startDate')) stored, | |
| item JSONB NOT NULL, | |
| PRIMARY KEY(id) | |
| ) | 
  
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IMMUTABLEis the key.CAST(... AS timestamp)does the same thing as::timestamp. I think Postgres even transforms one into the other — I've seen that in query plans in the past, at least.Within the function, our
CASEexpression provides the guarantee that it returns atimestampvalue, orNULLif it can't parse. If you declare the custom function asIMMUTABLEwithout providing an appropriate guarantee, some weird things can happen. Let's say you omit the format validation and just wrap the simplest expression in anIMMUTABLEfunction:Let's then imagine someone hits your API with the following JSON payload:
{ "title": "title goes here", "startDate": "now" }Note that the
startDateis just the literal string"now". Postgres will put an actual timestamp into yourstart_datecolumn. On the surface, this seems awesome, but there are other consequences of relying on this behavior. The most frustrating is that updating the row will regeneratestart_date:Note that
start_datechanged even though I only modifiedtitle. This is almost certainly not what you want. I'm not even sure I'd use it as a poor-man's automaticupdated_atcolumn because I'm not sure what the consequences of indexing on this might be.