Hello,
I tested some custom udf on SparkSql's ThriftServer & Beeline (Spark 1.3.1).
Some udfs work fine (access array parameter and returning int or string
type).
But my udf returning map type throws an error:
"Error: scala.MatchError: interface java.util.Map (of class java.lang.Class)
(state=,code=0)"
I converted the code into Hive's GenericUDF since I worried that using
complex type parameter (array of map) and returning complex type (map) can
be supported in Hive's GenericUDF instead of simple UDF.
But SparkSQL doesn't seem supporting GenericUDF.(error message : Error:
java.lang.IllegalAccessException: Class
org.apache.spark.sql.hive.HiveFunctionWrapper can not access ..).
Below is my example udf code returning MAP type.
I appreciate any advice.
Thanks
------
public final class ArrayToMap extends UDF {
public Map<String,String> evaluate(ArrayList<String> arrayOfString) {
// add code to handle all index problem
Map<String, String> map = new HashMap<String, String>();
int count = 0;
for (String element : arrayOfString) {
map.put(count + "", element);
count++;
}
return map;
}
}
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