I am having trouble finding documentation on how to use a Hive UDF to return a Struct.
My major questions are:
What types of objects do I start with in Java?
How do I convert them so they will be interpreted as a Struct in Hive?
Here is a very simple example of such kind of UDF. It receives an User-Agent string, parse it using external lib and returns a structure with 4 text fields:
STRUCT<type: string, os: string, family: string, device: string>
You need to extend GenericUDF class and override two most important methods: initialize and evaluate.
initialize() describes the structure itself and defines data types inside.
evaluate() fills up the structure with actual values.
You don't need any special classes to return, struct<> in Hive is just an array of objects in Java.
import java.util.ArrayList;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.io.Text;
import eu.bitwalker.useragentutils.UserAgent;
public class UAStructUDF extends GenericUDF {
private Object[] result;
@Override
public String getDisplayString(String[] arg0) {
return "My display string";
}
@Override
public ObjectInspector initialize(ObjectInspector[] arg0) throws UDFArgumentException {
// Define the field names for the struct<> and their types
ArrayList<String> structFieldNames = new ArrayList<String>();
ArrayList<ObjectInspector> structFieldObjectInspectors = new ArrayList<ObjectInspector>();
// fill struct field names
// type
structFieldNames.add("type");
structFieldObjectInspectors.add(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
//family
structFieldNames.add("family");
structFieldObjectInspectors.add(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
// OS name
structFieldNames.add("os");
structFieldObjectInspectors.add(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
// device
structFieldNames.add("device");
structFieldObjectInspectors.add(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
StructObjectInspector si = ObjectInspectorFactory.getStandardStructObjectInspector(structFieldNames,
structFieldObjectInspectors);
return si;
}
@Override
public Object evaluate(DeferredObject[] args) throws HiveException {
if (args == null || args.length < 1) {
throw new HiveException("args is empty");
}
if (args[0].get() == null) {
throw new HiveException("args contains null instead of object");
}
Object argObj = args[0].get();
// get argument
String argument = null;
if (argObj instanceof Text){
argument = ((Text) argObj).toString();
} else if (argObj instanceof String){
argument = (String) argObj;
} else {
throw new HiveException("Argument is neither a Text nor String, it is a " + argObj.getClass().getCanonicalName());
}
// parse UA string and return struct, which is just an array of objects: Object[]
return parseUAString(argument);
}
private Object parseUAString(String argument) {
result = new Object[4];
UserAgent ua = new UserAgent(argument);
result[0] = new Text(ua.getBrowser().getBrowserType().getName());
result[1] = new Text(ua.getBrowser().getGroup().getName());
result[2] = new Text(ua.getOperatingSystem().getName());
result[3] = new Text(ua.getOperatingSystem().getDeviceType().getName());
return result;
}
}
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