By default, PARALLEL is ON, you can set it to OFF using PARALLEL OFF option. Solution: UNLOAD provides the PARALLEL option for this. To compress the unloaded data, you can use GZIP option with the commandīelow are a few common problems when using UNLOAD and how to deal with it Problem: You have limited data in your table and would like to unload the data into a single S3 file and not one file per slice.If you don't, subsequent copy operations may fail or they will give undesirable results If the data you are unloading includes the delimiter you are using, then you should use ESCAPE option with the UNLOAD command.You should either manually delete the files before unload or specify ALLOWOVERWRITE option If the destination folder already contains un-loaded data, UNLOAD will fail with the below error: ERROR: Specified unload destination on S3 is not empty.Select * from customers where id in (select id from customers limit 10) To workaround this limitation, you can use a nested LIMIT clause.Limit clause is not supported: select * from customers limit 10 So, if you try to execute an UNLOAD command that has select query like this: select * from customers limit 10, you will see an error like below: You cannot use LIMIT clause in the outer SELECT statement of your query. ![]() It should be UNLOAD ('select * from customers where state = \'SC\''). As an example, let's say we want to extract all the customers who reside in the state SC, the command should NOT be UNLOAD ('select * from customers where state = 'SC'').
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