B = ORDER A by x PARALLEL 100;

Store B into ......

This will create 100 ordered part files, with the first part file

containing the first 100th of the data, the second -- the next 100th,

and so on. The fragments are approximate in size, so some may be

slightly bigger than others, but for a big enough dataset, they should

be roughly equal.

-D

On Fri, Nov 20, 2009 at 1:18 PM, drd_ wrote:

I am using PIG and this is what I am trying to do:

1) Sort a relation A into B by a field x. The smallest value of x is first.

Just use SORT.

2) Label each tuple in B with a number denoting its order in the sorted

relation. So the first tuple would be labeled with a 1, the second tuple

with a 2, the third with a 3 and so on. Not certain how to do this.

3) Derive a relation C where each row is a bag of tuples. The first row

contains the first n1 tuples from relation B, the second row contains the

tuples from B labeled (n1 + 1) to n2 from, the third row contains the tuples

from B labeled (n2 + 1) to n3 and so on to n100. This step is simple (just

use filter) once we've labeled each tuple in B with a number.

The question: how do I do step 2).

thanks

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I am using PIG and this is what I am trying to do:

1) Sort a relation A into B by a field x. The smallest value of x is first.

Just use SORT.

2) Label each tuple in B with a number denoting its order in the sorted

relation. So the first tuple would be labeled with a 1, the second tuple

with a 2, the third with a 3 and so on. Not certain how to do this.

3) Derive a relation C where each row is a bag of tuples. The first row

contains the first n1 tuples from relation B, the second row contains the

tuples from B labeled (n1 + 1) to n2 from, the third row contains the tuples

from B labeled (n2 + 1) to n3 and so on to n100. This step is simple (just

use filter) once we've labeled each tuple in B with a number.

The question: how do I do step 2).

thanks

--

View this message in context: http://old.nabble.com/PIG-bin-labeling-relation-tp26443615p26443615.html

Sent from the Hadoop core-user mailing list archive at Nabble.com.