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From Reynold Xin <r...@databricks.com>
Subject Re: SQL specific documentation for recent Spark releases
Date Fri, 11 Aug 2017 18:30:21 GMT
This PR should help you in the next release:
https://github.com/apache/spark/pull/18702



On Thu, Aug 10, 2017 at 7:46 PM, Stephen Boesch <javadba@gmail.com> wrote:

>
> The correct link is  https://docs.databricks.com/
> spark/latest/spark-sql/index.html .
>
> This link does have the core syntax such as the BNF for the DDL and DML
> and SELECT.  It does *not *have a reference for  date / string / numeric
> functions: is there any such reference at this point?  It is not sufficient
> to peruse the DSL list of functions since the usage is different (and
> sometimes the names as well)  than from the DSL.
>
> thanks
> stephenb
>
> 2017-08-10 14:49 GMT-07:00 Jules Damji <dmatrix@comcast.net>:
>
>> I refer to docs.databricks.com/Spark/latest/Spark-sql/index.html.
>>
>> Cheers
>> Jules
>>
>> Sent from my iPhone
>> Pardon the dumb thumb typos :)
>>
>> > On Aug 10, 2017, at 1:46 PM, Stephen Boesch <javadba@gmail.com> wrote:
>> >
>> >
>> > While the DataFrame/DataSets are useful in many circumstances they are
>> cumbersome for many types of complex sql queries.
>> >
>> > Is there an up to date *SQL* reference - i.e. not DataFrame DSL
>> operations - for version 2.2?
>> >
>> > An example of what is not clear:  what constructs are supported within
>> >
>> >     select count( predicate) from some_table
>> >
>> > when using spark sql.
>> >
>> > But in general the reference guide and programming guide for SQL seems
>> to be difficult to locate - seemingly in favor of the DataFrame/DataSets.
>>
>>
>

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