Hi,
I am providing sample UDF and how to use it in pig script.
*JAVA CLASS:
package myudf.udf.upper;
public class UPPER extends EvalFunc
{
logic to convert all the tokens into Upper case ones.
}*
*input data:*
naga
siva
ravi
*Pig Script*
*-- Always use absolute path of the udf jar lo
Hi,
Use the fully qualified class name like org.apache.udf.myudf.udfName in the
pig script while using udf.
Otherwise use only udf name in the script and while running use like pig -
Dudf.import.list=org.apache.udf.myudf.evaluation.string scriptname.pig
Thanks
Nagamallikarjuna
On Wed, Mar 6, 20
Nope. It does not work
2013-03-05 13:22:28,768 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR
1070: Could not resolve myudf.CalculateAvg using imports: [,
org.apache.pig.builtin., org.apache.pig.impl.builtin.]
Details at logfile:
/Users/PreetiGupta/Documents/CMPS290S/project/pig_13625185
did you try with {jarFileName}.{FunctionName} ?
example: myudfs.CalculateAvg ?
On Tue, Mar 5, 2013 at 4:04 PM, Preeti Gupta wrote:
> I kept the code in myudfs.jar and my pig script is point to it using
> register command but the script is not able to find CalculateAvg function.
> I don't have an
I kept the code in myudfs.jar and my pig script is point to it using register
command but the script is not able to find CalculateAvg function. I don't have
any packages defined in the java file and the jar is my current directory.
On Mar 5, 2013, at 3:17 AM, Jonathan Coveney wrote:
> dividen
dividends = load 'try.txt'
a = foreach dividends generate FLATTEN(TOBAG(*));
b = foreach (group a all) generate CalculateAvg($1);
I think that should work
2013/3/5 pablomar
> what is the error ?
> function not found or something like that ?
>
> what about this ?
> avg = generate myudfs.C
what is the error ?
function not found or something like that ?
what about this ?
avg = generate myudfs.CalculateAvg(dividends);
On Mon, Mar 4, 2013 at 4:56 PM, Preeti Gupta wrote:
> Hello All,
>
> I have dataset like
>
> 0, 10.1, 20.1, 30, 40,
> 50, 60, 70, 80.1, 1,
> 2, 3, 4, 5, 6,
Hello All,
I have dataset like
0, 10.1, 20.1, 30, 40,
50, 60, 70, 80.1, 1,
2, 3, 4, 5, 6,
7, 8, 9, 10, 11,
12, 13, 14, 15, 16,
1, 2, 3, 4, 5,
56, 6, 7, 8, 9,
9, 9, 9, 12, 1,
3, 14, 1, 5, 6,
7, 8, 8, 9, 12
So basically comma separated values. But I want to consider this as one
