platform
>>> to support both, by making the ANTLR extensible?
>>>
>>>
>>>
>>> --
>>> *From:* Alessandro Solimando
>>> *Sent:* Tuesday, October 2, 2018 12:35 AM
>>> *To:* rb...@netflix.com
>>> *
ve
>> compatible to ANSI SQL, say?
>>
>> Perhaps a more critical question, what does it take to get the platform
>> to support both, by making the ANTLR extensible?
>>
>>
>>
>> --
>> *From:* Alessandro Solimando
>
upport both, by making the ANTLR extensible?
>
>
>
> --
> *From:* Alessandro Solimando
> *Sent:* Tuesday, October 2, 2018 12:35 AM
> *To:* rb...@netflix.com
> *Cc:* Xiao Li; dev
> *Subject:* Re: [DISCUSS] Syntax for table DDL
>
> I agre
critical question, what does it take to get the platform to
support both, by making the ANTLR extensible?
From: Alessandro Solimando
Sent: Tuesday, October 2, 2018 12:35 AM
To: rb...@netflix.com
Cc: Xiao Li; dev
Subject: Re: [DISCUSS] Syntax for table DDL
I
I agree with Ryan, a "standard" and more widely adopted syntax is usually a
good idea, with possibly some slight improvements like "bulk deletion" of
columns (especially because both the syntax and the semantics are clear),
rather than stay with Hive syntax at any cost.
I am personally following t
What do you mean by consistent with the syntax in SqlBase.g4? These aren’t
currently defined, so we need to decide what syntax to support. There are
more details below, but the syntax I’m proposing is more standard across
databases than Hive, which uses confusing and non-standard syntax.
I doubt t
Are they consistent with the current syntax defined in SqlBase.g4? I think
we are following the Hive DDL syntax:
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-AlterTable/Partition/Column
Ryan Blue 于2018年9月28日周五 下午3:47写道:
> Hi everyone,
>
> I’m currently wo
Hi everyone,
I’m currently working on new table DDL statements for v2 tables. For
context, the new logical plans for DataSourceV2 require a catalog interface
so that Spark can create tables for operations like CTAS. The proposed
TableCatalog API also includes an API for altering those tables so we