This feature was not part of that version. It will be in 1.1.
On Fri, Aug 29, 2014 at 12:33 PM, Jaonary Rabarisoa <jaon...@gmail.com>
wrote:
>
> 1.0.2
>
>
> On Friday, August 29, 2014, Michael Armbrust <mich...@databricks.com>
> wrote:
>
>> What version are you using?
>>
>>
>>
>> On Fri, Aug 29, 2014 at 2:22 AM, Jaonary Rabarisoa <jaon...@gmail.com>
>> wrote:
>>
>>> Still not working for me. I got a compilation error : *value in is not
>>> a member of Symbol.* Any ideas ?
>>>
>>>
>>> On Fri, Aug 29, 2014 at 9:46 AM, Michael Armbrust <
>>> mich...@databricks.com> wrote:
>>>
>>>> To pass a list to a variadic function you can use the type ascription
>>>> :_*
>>>>
>>>> For example:
>>>>
>>>> val longList = Seq[Expression]("a", "b", ...)
>>>> table("src").where('key in (longList: _*))
>>>>
>>>> Also, note that I had to explicitly specify Expression as the type
>>>> parameter of Seq to ensure that the compiler converts "a" and "b" into
>>>> Spark SQL expressions.
>>>>
>>>>
>>>>
>>>>
>>>> On Thu, Aug 28, 2014 at 11:52 PM, Jaonary Rabarisoa <jaon...@gmail.com>
>>>> wrote:
>>>>
>>>>> ok, but what if I have a long list do I need to hard code like this
>>>>> every element of my list of is there a function that translate a list into
>>>>> a tuple ?
>>>>>
>>>>>
>>>>> On Fri, Aug 29, 2014 at 3:24 AM, Michael Armbrust <
>>>>> mich...@databricks.com> wrote:
>>>>>
>>>>>> You don't need the Seq, as in is a variadic function.
>>>>>>
>>>>>> personTable.where('name in ("foo", "bar"))
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Thu, Aug 28, 2014 at 3:09 AM, Jaonary Rabarisoa <jaon...@gmail.com
>>>>>> > wrote:
>>>>>>
>>>>>>> Hi all,
>>>>>>>
>>>>>>> What is the expression that I should use with spark sql DSL if I
>>>>>>> need to retreive
>>>>>>> data with a field in a given set.
>>>>>>> For example :
>>>>>>>
>>>>>>> I have the following schema
>>>>>>>
>>>>>>> case class Person(name: String, age: Int)
>>>>>>>
>>>>>>> And I need to do something like :
>>>>>>>
>>>>>>> personTable.where('name in Seq("foo", "bar")) ?
>>>>>>>
>>>>>>>
>>>>>>> Cheers.
>>>>>>>
>>>>>>>
>>>>>>> Jaonary
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
