Create a Java class which extends org.apache.hadoop.hive.ql.exec.hive.UDAF
Create an inner class which implements UDAFEvaluator
Implement five methods
init()
– This method initializes the evaluator and resets its internal state. We are using new Column() in the code below to indicate that no values have been aggregated yet.iterate()
– This method is called every time there is a new value to be aggregated. The evaluator should update its internal state with the result of performing the aggregation (we are doing sum – see below). We return true to indicate that the input was valid.terminatePartial()
– This method is called when Hive wants a result for the partial aggregation. The method must return an object that encapsulates the state of the aggregation.merge()
– This method is called when Hive decides to combine one partial aggregation with another.terminate()
– This method is called when the final result of the aggregation is needed. public class MeanUDAF extends UDAF {
// Define Logging
static final Log LOG = LogFactory.getLog(MeanUDAF.class.getName());
public static class MeanUDAFEvaluator implements UDAFEvaluator {
/**
* Use Column class to serialize intermediate computation
* This is our groupByColumn
*/
public static class Column {
double sum = 0;
int count = 0;
}
private Column col = null;
public MeanUDAFEvaluator() {
super();
init();
}
// A - Initalize evaluator - indicating that no values have been
// aggregated yet.
public void init() {
LOG.debug("Initialize evaluator");
col = new Column();
}
// B- Iterate every time there is a new value to be aggregated
public boolean iterate(double value) throws HiveException {
LOG.debug("Iterating over each value for aggregation");
if (col == null)
throw new HiveException("Item is not initialized");
col.sum = col.sum + value;
col.count = col.count + 1;
return true;
}
// C - Called when Hive wants partially aggregated results.
public Column terminatePartial() {
LOG.debug("Return partially aggregated results");
return col;
}
// D - Called when Hive decides to combine one partial aggregation with another
public boolean merge(Column other) {
LOG.debug("merging by combining partial aggregation");
if(other == null) {
return true;
}
col.sum += other.sum;
col.count += other.count;
return true;
}
// E - Called when the final result of the aggregation needed.
public double terminate(){
LOG.debug("At the end of last record of the group - returning final result");
return col.sum/col.count;
}
}
}
hive> CREATE TEMPORARY FUNCTION <FUNCTION NAME> AS 'JAR PATH.jar';
hive> select id, mean_udf(amount) from table group by id;