Hi Francis, There should be multiple ways to achieve this. Do you mean that all these methods don't work for you? If so, could you show the sample code? Besides, another way you may try is `inputmetrics.alias("timestamp, device, name, value")`.
Regards, Dian On Wed, Feb 16, 2022 at 8:14 AM Francis Conroy <francis.con...@switchdin.com> wrote: > Hi all, > > I'm hoping to be able to change the column names when creating a table > from a datastream, the flatmap function generating the stream is returning > a Tuple4. > > It's currently working as follows: > > inputmetrics = table_env.from_data_stream(ds, Schema.new_builder() > .column("f0", "BIGINT") > .column("f1", "STRING") > .column("f2", "STRING") > .column("f3", "DOUBLE") > .build()) > > I'm trying to rename the columns f0, f1, f2, f3 to proper names e.g. > timestamp, device, name, value. So far I've tried using from_fields, and > > column_by_expression("timestamp", "f0") > > I'd prefer not to change the output type of my previous flatMapFunction > (to say a named Row) for performance purposes. > > Thanks, > Francis > > This email and any attachments are proprietary and confidential and are > intended solely for the use of the individual to whom it is addressed. Any > views or opinions expressed are solely those of the author and do not > necessarily reflect or represent those of SwitchDin Pty Ltd. If you have > received this email in error, please let us know immediately by reply email > and delete it from your system. You may not use, disseminate, distribute or > copy this message nor disclose its contents to anyone. > SwitchDin Pty Ltd (ABN 29 154893857) PO Box 1165, Newcastle NSW 2300 > Australia >