i use kryo for the whole thing currently

it would be better to use it for the subtree

On Wed, Oct 26, 2016 at 5:06 PM, Michael Armbrust <mich...@databricks.com>
wrote:

> You use kryo encoder for the whole thing?  Or just the subtree that we
> don't have specific encoders for?
>
> Also, I'm saying I like the idea of having a kryo fallback.  I don't see
> the point of narrowing the the definition of the implicit.
>
> On Wed, Oct 26, 2016 at 1:07 PM, Koert Kuipers <ko...@tresata.com> wrote:
>
>> for example (the log shows when it creates a kryo encoder):
>>
>> scala> implicitly[EncoderEvidence[Option[Seq[String]]]].encoder
>> res5: org.apache.spark.sql.Encoder[Option[Seq[String]]] =
>> class[value[0]: array<string>]
>>
>> scala> implicitly[EncoderEvidence[Option[Set[String]]]].encoder
>> dataframe.EncoderEvidence$: using kryo encoder for
>> scala.Option[Set[String]]
>> res6: org.apache.spark.sql.Encoder[Option[Set[String]]] =
>> class[value[0]: binary]
>>
>>
>>
>>
>> On Wed, Oct 26, 2016 at 4:00 PM, Koert Kuipers <ko...@tresata.com> wrote:
>>
>>> why would generating implicits for ProductN where you also require the
>>> elements in the Product to have an expression encoder not work?
>>>
>>> we do this. and then we have a generic fallback where it produces a kryo
>>> encoder.
>>>
>>> for us the result is that say an implicit for Seq[(Int, Seq[(String,
>>> Int)])] will create a new ExpressionEncoder(), while an implicit for
>>> Seq[(Int, Set[(String, Int)])] produces a Encoders.kryoEncoder()
>>>
>>> On Wed, Oct 26, 2016 at 3:50 PM, Michael Armbrust <
>>> mich...@databricks.com> wrote:
>>>
>>>> Sorry, I realize that set is only one example here, but I don't think
>>>> that making the type of the implicit more narrow to include only ProductN
>>>> or something eliminates the issue.  Even with that change, we will fail to
>>>> generate an encoder with the same error if you, for example, have a field
>>>> of your case class that is an unsupported type.
>>>>
>>>> Short of changing this to compile-time macros, I think we are stuck
>>>> with this class of errors at runtime.  The simplest solution seems to be to
>>>> expand the set of thing we can handle as much as possible and allow users
>>>> to turn on a kryo fallback for expression encoders.  I'd be hesitant to
>>>> make this the default though, as behavior would change with each release
>>>> that adds support for more types.  I would be very supportive of making
>>>> this fallback a built-in option though.
>>>>
>>>> On Wed, Oct 26, 2016 at 11:47 AM, Koert Kuipers <ko...@tresata.com>
>>>> wrote:
>>>>
>>>>> yup, it doesnt really solve the underlying issue.
>>>>>
>>>>> we fixed it internally by having our own typeclass that produces
>>>>> encoders and that does check the contents of the products, but we did this
>>>>> by simply supporting Tuple1 - Tuple22 and Option explicitly, and not
>>>>> supporting Product, since we dont have a need for case classes
>>>>>
>>>>> if case classes extended ProductN (which they will i think in scala
>>>>> 2.12?) then we could drop Product and support Product1 - Product22 and
>>>>> Option explicitly while checking the classes they contain. that would be
>>>>> the cleanest.
>>>>>
>>>>>
>>>>> On Wed, Oct 26, 2016 at 2:33 PM, Ryan Blue <rb...@netflix.com> wrote:
>>>>>
>>>>>> Isn't the problem that Option is a Product and the class it contains
>>>>>> isn't checked? Adding support for Set fixes the example, but the problem
>>>>>> would happen with any class there isn't an encoder for, right?
>>>>>>
>>>>>> On Wed, Oct 26, 2016 at 11:18 AM, Michael Armbrust <
>>>>>> mich...@databricks.com> wrote:
>>>>>>
>>>>>>> Hmm, that is unfortunate.  Maybe the best solution is to add support
>>>>>>> for sets?  I don't think that would be super hard.
>>>>>>>
>>>>>>> On Tue, Oct 25, 2016 at 8:52 PM, Koert Kuipers <ko...@tresata.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> i am trying to use encoders as a typeclass where if it fails to
>>>>>>>> find an ExpressionEncoder it falls back to KryoEncoder.
>>>>>>>>
>>>>>>>> the issue seems to be that ExpressionEncoder claims a little more
>>>>>>>> than it can handle here:
>>>>>>>>   implicit def newProductEncoder[T <: Product : TypeTag]:
>>>>>>>> Encoder[T] = Encoders.product[T]
>>>>>>>>
>>>>>>>> this "claims" to handle for example Option[Set[Int]], but it really
>>>>>>>> cannot handle Set so it leads to a runtime exception.
>>>>>>>>
>>>>>>>> would it be useful to make this a little more specific? i guess the
>>>>>>>> challenge is going to be case classes which unfortunately dont extend
>>>>>>>> Product1, Product2, etc.
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Ryan Blue
>>>>>> Software Engineer
>>>>>> Netflix
>>>>>>
>>>>>
>>>>>
>>>>
>>>
>>
>

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