> Forward to dev

Yes, the databricks runtime 13.0 and 13.1 and 13.2 are all ok and have the
same behavior with open source Apache Spark 3.4.x.
But I think the docs of databricks need to be updated[1]. It's confusing.

[1]
https://docs.databricks.com/en/sql/language-manual/functions/array_insert.html

Best Regards,
Ran Tao


Sean Owen <sro...@gmail.com> 于2023年8月14日周一 11:58写道:

> Oh I get it. Let me report to the docs people (I'm at databricks)
>
> On Sun, Aug 13, 2023, 10:56 PM Ran Tao <chucheng...@gmail.com> wrote:
>
>> Yes, the databricks runtime 13.0 and 13.1 and 13.2 are all ok and have
>> the same behavior with open source Apache Spark 3.4.x.
>> But I think the docs of databricks need to be updated. it's confusing.
>>
>> Thanks owen!
>>
>>
>> Sean Owen <sro...@gmail.com> 于2023年8月14日周一 11:33写道:
>>
>>> That's just a bug fix, right? I'd imagine.
>>>
>>> On Sun, Aug 13, 2023, 10:28 PM Ran Tao <chucheng...@gmail.com> wrote:
>>>
>>>> thanks. it seems that the new Databricks runtime has same behavior with
>>>> open source apache spark.
>>>> however, the Databricks runtime docs[1] may confuse users, it indicates
>>>> can be applicable in Databricks Runtime 13.0 and later,
>>>> however it not has this behavior in 13.1 and later version.
>>>>
>>>> Best Regards,
>>>> Ran Tao
>>>> https://github.com/chucheng92
>>>>
>>>>
>>>> Sean Owen <sro...@gmail.com> 于2023年8月14日周一 02:07写道:
>>>>
>>>>> No, I'm saying I do not see any inconsistency between docs, OSS Spark,
>>>>> and Spark in Databricks. All the behavior looks the same and correct.
>>>>> I am using the latest Spark and DBR runtime though, and you didn't say
>>>>> what version of Spark you use in DB.
>>>>> The most likely answer is it's an older version with some kind of bug,
>>>>> not sure.
>>>>>
>>>>> On Sun, Aug 13, 2023 at 1:01 PM Ran Tao <chucheng...@gmail.com> wrote:
>>>>>
>>>>>> thanks. however I have checked the latest spark version 3.4.0 and
>>>>>> 3.4.1 the result is what i listed above. did’u mean the databricks doc is
>>>>>> outdated or wrong?which one i should respect?
>>>>>>
>>>>>>
>>>>>>
>>>>>> Sean Owen <sro...@gmail.com>于2023年8月13日 周日22:35写道:
>>>>>>
>>>>>>> There shouldn't be any difference here. In fact, I get the results
>>>>>>> you list for 'spark' from Databricks. It's possible the difference is a 
>>>>>>> bug
>>>>>>> fix along the way that is in the Spark version you are using locally but
>>>>>>> not in the DBR you are using. But, yeah seems to work as. you say.
>>>>>>>
>>>>>>> If you're asking about the Spark semantics being 1-indexed vs
>>>>>>> 0-indexed? some comments here:
>>>>>>> https://github.com/apache/spark/pull/38867#discussion_r1097054656
>>>>>>>
>>>>>>>
>>>>>>> On Sun, Aug 13, 2023 at 7:28 AM Ran Tao <chucheng...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Hi, devs.
>>>>>>>>
>>>>>>>> I found that the  ARRAY_INSERT[1] function (from spark 3.4.0) has
>>>>>>>> different semantics with databricks[2].
>>>>>>>>
>>>>>>>> e.g.
>>>>>>>>
>>>>>>>> // spark
>>>>>>>> SELECT array_insert(array('a', 'b', 'c'), -1, 'z');
>>>>>>>>  ["a","b","z","c"]
>>>>>>>>
>>>>>>>> // databricks
>>>>>>>> SELECT array_insert(array('a', 'b', 'c'), -1, 'z');
>>>>>>>>  ["a","b","c","z"]
>>>>>>>>
>>>>>>>> // spark
>>>>>>>> SELECT array_insert(array('a', 'b', 'c'), -5, 'z');
>>>>>>>> ["z",null,null,"a","b","c"]
>>>>>>>>
>>>>>>>> // databricks
>>>>>>>> SELECT array_insert(array('a', 'b', 'c'), -5, 'z');
>>>>>>>>  ["z",NULL,"a","b","c"]
>>>>>>>>
>>>>>>>> It looks like that inserting negative index is more reasonable in
>>>>>>>> Databricks.
>>>>>>>>
>>>>>>>> Of cause, I read the source code of spark, and I can understand the
>>>>>>>> logic of spark, but my question is whether spark is designed like this 
>>>>>>>> on
>>>>>>>> purpose?
>>>>>>>>
>>>>>>>>
>>>>>>>> [1]
>>>>>>>> https://spark.apache.org/docs/latest/api/sql/index.html#array_insert
>>>>>>>> [2]
>>>>>>>> https://docs.databricks.com/en/sql/language-manual/functions/array_insert.html
>>>>>>>>
>>>>>>>>
>>>>>>>> Best Regards,
>>>>>>>> Ran Tao
>>>>>>>> https://github.com/chucheng92
>>>>>>>>
>>>>>>> --
>>>>>> Best Regards,
>>>>>> Ran Tao
>>>>>> https://github.com/chucheng92
>>>>>>
>>>>>

Reply via email to