-Spark-SQL-vs-Dataframe-API-faster-tp24768.html
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Is there a difference in performance between writing a spark job using only
SQL statements and writing it using the dataframe api or does it translate
to the same thing under the hood?
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If yo change to ```val numbers2 = numbers```, then it have the same problem
On Tue, Jun 23, 2015 at 2:54 PM, Ignacio Blasco wrote:
> It seems that it doesn't happen in Scala API. Not exactly the same as in
> python, but pretty close.
>
> https://gist.github.com/elnopintan/675968d2e4be68958df8
>
It seems that it doesn't happen in Scala API. Not exactly the same as in
python, but pretty close.
https://gist.github.com/elnopintan/675968d2e4be68958df8
2015-06-23 23:11 GMT+02:00 Davies Liu :
> I think it also happens in DataFrames API of all languages.
>
> On Tue, Jun 23, 2015 at 9:16 AM, Ig
I think it also happens in DataFrames API of all languages.
On Tue, Jun 23, 2015 at 9:16 AM, Ignacio Blasco wrote:
> That issue happens only in python dsl?
>
> El 23/6/2015 5:05 p. m., "Bob Corsaro" escribió:
>>
>> Thanks! The solution:
>>
>> https://gist.github.com/dokipen/018a1deeab668efdf455
I've only tried it in python
On Tue, Jun 23, 2015 at 12:16 PM Ignacio Blasco
wrote:
> That issue happens only in python dsl?
> El 23/6/2015 5:05 p. m., "Bob Corsaro" escribió:
>
>> Thanks! The solution:
>>
>> https://gist.github.com/dokipen/018a1deeab668efdf455
>>
>> On Mon, Jun 22, 2015 at 4:3
That issue happens only in python dsl?
El 23/6/2015 5:05 p. m., "Bob Corsaro" escribió:
> Thanks! The solution:
>
> https://gist.github.com/dokipen/018a1deeab668efdf455
>
> On Mon, Jun 22, 2015 at 4:33 PM Davies Liu wrote:
>
>> Right now, we can not figure out which column you referenced in
>> `
Thanks! The solution:
https://gist.github.com/dokipen/018a1deeab668efdf455
On Mon, Jun 22, 2015 at 4:33 PM Davies Liu wrote:
> Right now, we can not figure out which column you referenced in
> `select`, if there are multiple row with the same name in the joined
> DataFrame (for example, two `va
Right now, we can not figure out which column you referenced in
`select`, if there are multiple row with the same name in the joined
DataFrame (for example, two `value`).
A workaround could be:
numbers2 = numbers.select(df.name, df.value.alias('other'))
rows = numbers.join(numbers2,
Sorry thought it was scala/spark
El 22/6/2015 9:49 p. m., "Bob Corsaro" escribió:
> That's invalid syntax. I'm pretty sure pyspark is using a DSL to create a
> query here and not actually doing an equality operation.
>
> On Mon, Jun 22, 2015 at 3:43 PM Ignacio Blasco
> wrote:
>
>> Probably you s
That's invalid syntax. I'm pretty sure pyspark is using a DSL to create a
query here and not actually doing an equality operation.
On Mon, Jun 22, 2015 at 3:43 PM Ignacio Blasco wrote:
> Probably you should use === instead of == and !== instead of !=
> Can anyone explain why the dataframe API do
Probably you should use === instead of == and !== instead of !=
Can anyone explain why the dataframe API doesn't work as I expect it to
here? It seems like the column identifiers are getting confused.
https://gist.github.com/dokipen/4b324a7365ae87b7b0e5
Can anyone explain why the dataframe API doesn't work as I expect it to
here? It seems like the column identifiers are getting confused.
https://gist.github.com/dokipen/4b324a7365ae87b7b0e5
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