Allow schema matching for UDF with variable length arguments
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Key: PIG-902
URL: https://issues.apache.org/jira/browse/PIG-902
Project: Pig
Issue Type: Improvement
Components: impl
Affects Versions: 0.3.0
Reporter: Daniel Dai
Pig pick the right version of UDF using a similarity measurement. This
mechanism pick the UDF with right input schema to use. However, some UDFs use
various number of inputs and currently there is no way to declare such input
schema in UDF and similarity measurement do not match against variable number
of inputs. We can still write variable inputs UDF, but we cannot rely on schema
matching to pick the right UDF version and do the automatic data type
conversion.
Eg:
If we have:
Integer udf1(Integer, ......);
Integer udf1(String, ......);
Currently we cannot do this:
a: {chararray, chararray}
b = foreach a generate udf1(a.$0, a.$1); // Pig cannot pick the udf(String,
......) automatically, currently, this statement fails
Eg:
If we have:
Integer udf2(Integer, ......);
Currently, this script fail
a: {chararray, chararray}
b = foreach a generate udf1(a.$0, a.$1); // Currently, Pig cannot convert a.$0
into Integer automatically
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