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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Thanks! The solution:
https://gist.github.com/dokipen/018a1deeab668efdf455
On Mon, Jun 22, 2015 at 4:33 PM Davies Liu dav...@databricks.com 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
That issue happens only in python dsl?
El 23/6/2015 5:05 p. m., Bob Corsaro rcors...@gmail.com escribió:
Thanks! The solution:
https://gist.github.com/dokipen/018a1deeab668efdf455
On Mon, Jun 22, 2015 at 4:33 PM Davies Liu dav...@databricks.com wrote:
Right now, we can not figure out which
I've only tried it in python
On Tue, Jun 23, 2015 at 12:16 PM Ignacio Blasco elnopin...@gmail.com
wrote:
That issue happens only in python dsl?
El 23/6/2015 5:05 p. m., Bob Corsaro rcors...@gmail.com escribió:
Thanks! The solution:
https://gist.github.com/dokipen/018a1deeab668efdf455
On
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 dav...@databricks.com:
I think it also happens in DataFrames API of all languages.
On Tue, Jun 23,
I think it also happens in DataFrames API of all languages.
On Tue, Jun 23, 2015 at 9:16 AM, Ignacio Blasco elnopin...@gmail.com wrote:
That issue happens only in python dsl?
El 23/6/2015 5:05 p. m., Bob Corsaro rcors...@gmail.com escribió:
Thanks! The solution:
If yo change to ```val numbers2 = numbers```, then it have the same problem
On Tue, Jun 23, 2015 at 2:54 PM, Ignacio Blasco elnopin...@gmail.com wrote:
It seems that it doesn't happen in Scala API. Not exactly the same as in
python, but pretty close.
Sorry thought it was scala/spark
El 22/6/2015 9:49 p. m., Bob Corsaro rcors...@gmail.com 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
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,
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
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 elnopin...@gmail.com wrote:
Probably you should use === instead of == and !== instead of !=
Can anyone explain why
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