Use simple jython UDF. Its 3 lines of code
04.09.2013 18:04 пользователь Sajid Raza windcl...@gmail.com написал:
For my two cents' worth I agree, it's nicer to have coalesce than the
conditional operator.
On Sep 4, 2013, at 8:50 AM, Something Something mailinglist...@gmail.com
wrote:
What
What if you've 10 fields?
On Wed, Sep 4, 2013 at 4:30 AM, Ruslan Al-Fakikh metarus...@gmail.comwrote:
Hi,
I think you could mimic it with an expression like this:
b = foreach a generate ((field1 is null) ? ((field2 is null) ? null :
field2) : field1);
Hope that helps,
Ruslan
On Wed,
On the other hand, if you use a java UDF, consider contributing it.
Sent from my iPhone
On Sep 4, 2013, at 9:10 AM, Serega Sheypak serega.shey...@gmail.com wrote:
Use simple jython UDF. Its 3 lines of code
04.09.2013 18:04 пользователь Sajid Raza windcl...@gmail.com написал:
For my two
Hi,
I have a relatively large pig scripts (around 1.5k lines, 85 assignments).
Around 150 columns are getting projected, joined, grouped and aggregated
ending in multiple stores.
Pig 0.11.1 fails with the following error even before any jobs are fired:
Pig Stack Trace
---
ERROR 2998:
Serega - I think you missed this line:
I know it will be very (very) easy to write this, but just don't want
to create one if one already exists.
There's a saying, don't code something that's already been coded! Code
Reuse for the win!
Anyway, seems like the simple answer is NO, this
Howdy folks,
Let's say I have a set of data that looks like this:
X, (X1, X2)
Y, (Y1, Y2, Y3)
So there could be an unknown number of members of each tuple per row.
I also have a second set of data that looks like this:
X1, 4, 5, 6
X2, 3, 7, 3
I'd like to join these such that I get:
X, (X1,
I think there's probably some convoluted way to do this. First thing you'll
have to do is flatten your data.
data1 = A, B
_
X, X1
X, X2
Y, Y1
Y, Y2
Y, Y3
Then do a join by B onto you second dataset. This should produce the
following
data2 = data1::A, data1::B, data2::A, data2::B, data2::C
Hello!
I implemented the SchemaTuple stuff. Glad to hear you're trying it out! I
did not test it with YARN at all. It looks like the way that the filesystem
and distributed cache work have changed. I myself am not super up on that,
but perhaps there is known documentation on how it differs? The
