Re: Validate spark sql

Dear friend, thanks a ton was looking for linting for SQL for a long time, looks like https://sqlfluff.com/ is something that can be used :) Thank you so much, and wish you all a wonderful new year. Regards, Gourav On Tue, Dec 26, 2023 at 4:42 AM Bjørn Jørgensen wrote: > You can try sqlfluff

Re: Validate spark sql

抄 送：Nicholas Chammas; user< > user@spark.apache.org> > 主 题：Re: Validate spark sql > > Thanks Mich, Nicholas. I tried looking over the stack overflow post and > none of them > Seems to cover the syntax validation. Do you know if it's even possible to > do syntax validati

Re: Validate spark sql

You can try sqlfluff it's a linter for SQL code and it seems to have support for sparksql man. 25. des. 2023 kl. 17:13 skrev ram manickam : > Thanks Mich, Nicholas. I tried looking over the stack overflow post and > none of them >

Re: Validate spark sql

Mailing lists For broad, opinion based, ask for external resources, debug issues, bugs, contributing to the project, and scenarios, it is recommended you use the user@spark.apache.org mailing list. - user@spark.apache.org is for

回复：Validate spark sql

s://www.tianlang.tech/ > -- 发件人：ram manickam 发送时间：2023年12月25日(星期一) 12:58 收件人：Mich Talebzadeh 抄　送：Nicholas Chammas; user 主　题：Re: Validate spark sql Thanks Mich, Nicholas. I tried looking over the stack overflow post and none of them Seems to cov

Re: Validate spark sql

Thanks Mich, Nicholas. I tried looking over the stack overflow post and none of them Seems to cover the syntax validation. Do you know if it's even possible to do syntax validation in spark? Thanks Ram On Sun, Dec 24, 2023 at 12:49 PM Mich Talebzadeh wrote: > Well not to put too finer point on

Re: Validate spark sql

Well not to put too finer point on it, in a public forum, one ought to respect the importance of open communication. Everyone has the right to ask questions, seek information, and engage in discussions without facing unnecessary patronization. Mich Talebzadeh, Dad | Technologist | Solutions

Re: Validate spark sql

This is a user-list question, not a dev-list question. Moving this conversation to the user list and BCC-ing the dev list. Also, this statement > We are not validating against table or column existence. is not correct. When you call spark.sql(…), Spark will lookup the table references and