Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14629
I haven't changed my mind of this. Lets close this one.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not ha
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14629
@hvanhovell @rxin unless you've changed your stance a little bit on this, I
think the conclusion is that this isn't worth changing this behavior and we can
close this @WeichenXu123
---
If your pro
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14629
Interesting point, yeah, because normally in an RDBMS you have to
`COUNT(*)` or `COUNT(1)` and the argument is useless anyway, so would be nice
to not have to provide an argument to select in this co
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14629
A `df.select()` without any columns is not useless IMO: You can still get a
valid `count()` from a data frame.
---
If your project is set up for it, you can reply to this email and have your
rep
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/14629
MySql do not allow select with 0 columns, and I think select() is useless,
no one will do such operation, so, is it better to generate compiling error
when detecting code use `df.select()` beca
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14629
Yes that's a good question. A 0-column DataFrame is valid, though that's a
little different from being able to select 0 columns from a DataFrame. I don't
have a database handy, but can you select no
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14629
Why do we want to enforce this? It is valid to have a DataFrame without any
columns.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/14629
@srowen
How do you think about this problem?
I found adding two method like
`def select(cols: Column*)`
`def select(col: Column, cols: Column*)`
causing ambiguous,
I prep
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14629
Merged build finished. Test FAILed.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
e
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14629
**[Test build #63724 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63724/consoleFull)**
for PR 14629 at commit
[`8060aa4`](https://github.com/apache/spark/commit/
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14629
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/63724/
Test FAILed.
---
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14629
**[Test build #63724 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63724/consoleFull)**
for PR 14629 at commit
[`8060aa4`](https://github.com/apache/spark/commit/8
12 matches
Mail list logo