How to use

init

method

in

com.linkedin.transport.api.udf.StdUDF

@Override
public void copyToNewInstance(Object newInstance) throws UDFArgumentException {
 super.copyToNewInstance(newInstance);
 if (_stdUdf == null) {
  return;
 }
 StdUdfWrapper newWrapper = (StdUdfWrapper) newInstance;
 newWrapper._inputObjectInspectors = _inputObjectInspectors;
 newWrapper._stdFactory = _stdFactory;
 newWrapper._stdUdf = _stdUdf;
 newWrapper._nullableArguments = _stdUdf.getAndCheckNullableArguments();
 newWrapper._stdUdf.init(_stdFactory);
 newWrapper._requiredFilesProcessed = false;
 newWrapper.createStdData();
}

@Override
public void copyToNewInstance(Object newInstance) throws UDFArgumentException {
 super.copyToNewInstance(newInstance);
 if (_stdUdf == null) {
  return;
 }
 StdUdfWrapper newWrapper = (StdUdfWrapper) newInstance;
 newWrapper._inputObjectInspectors = _inputObjectInspectors;
 newWrapper._stdFactory = _stdFactory;
 newWrapper._stdUdf = _stdUdf;
 newWrapper._nullableArguments = _stdUdf.getAndCheckNullableArguments();
 newWrapper._stdUdf.init(_stdFactory);
 newWrapper._requiredFilesProcessed = false;
 newWrapper.createStdData();
}

@Override
public ScalarFunctionImplementation specialize(BoundVariables boundVariables, int arity, TypeManager typeManager,
  FunctionRegistry functionRegistry) {
 StdFactory stdFactory = new PrestoFactory(boundVariables, typeManager, functionRegistry);
 StdUDF stdUDF = getStdUDF();
 stdUDF.init(stdFactory);
 // Subtract a small jitter value so that refresh is triggered on first call
 // Do not add extra delay, if refresh time was set to lower value by an earlier specialize
 long initialJitter = getRefreshIntervalMillis() / JITTER_FACTOR;
 int initialJitterInt = initialJitter > Integer.MAX_VALUE ? Integer.MAX_VALUE : (int) initialJitter;
 _requiredFilesNextRefreshTime =
   Math.min(_requiredFilesNextRefreshTime, System.currentTimeMillis() - (new Random()).nextInt(initialJitterInt));
 boolean[] nullableArguments = stdUDF.getAndCheckNullableArguments();
 return new ScalarFunctionImplementation(true, getNullConventionForArguments(nullableArguments),
   getMethodHandle(stdUDF, typeManager, boundVariables, nullableArguments), isDeterministic());
}

@Override
public ScalarFunctionImplementation specialize(BoundVariables boundVariables, int arity, TypeManager typeManager,
  FunctionRegistry functionRegistry) {
 StdFactory stdFactory = new PrestoFactory(boundVariables, typeManager, functionRegistry);
 StdUDF stdUDF = getStdUDF();
 stdUDF.init(stdFactory);
 // Subtract a small jitter value so that refresh is triggered on first call
 // Do not add extra delay, if refresh time was set to lower value by an earlier specialize
 long initialJitter = getRefreshIntervalMillis() / JITTER_FACTOR;
 int initialJitterInt = initialJitter > Integer.MAX_VALUE ? Integer.MAX_VALUE : (int) initialJitter;
 _requiredFilesNextRefreshTime =
   Math.min(_requiredFilesNextRefreshTime, System.currentTimeMillis() - (new Random()).nextInt(initialJitterInt));
 boolean[] nullableArguments = stdUDF.getAndCheckNullableArguments();
 return new ScalarFunctionImplementation(true, getNullConventionForArguments(nullableArguments),
   getMethodHandle(stdUDF, typeManager, boundVariables, nullableArguments), isDeterministic());
}

/**
 * Given input {@link TestType}s, this method matches them to the expected {@link TestType}, and finds bindings to the
 * generic parameters. Once the generic parameter bindings are known, the method infers the output type (in the form
 * of a {@link TestType}) by substituting the binding values in the output {@link TestType}.
 *
 * @param arguments Input {@link TestType} of UDF parameters.
 * @return Inferred output {@link TestType}.
 */
public TestType initialize(TestType[] arguments) {
 GenericTypeInference genericTypeInference = new GenericTypeInference();
 genericTypeInference.compile(arguments, getStdUdfImplementations(), getTopLevelUdfClass());
 _inputTypes = genericTypeInference.getInputDataTypes();
 _stdFactory = genericTypeInference.getStdFactory();
 _stdUdf = genericTypeInference.getStdUdf();
 _nullableArguments = _stdUdf.getAndCheckNullableArguments();
 _stdUdf.init(_stdFactory);
 _requiredFilesProcessed = false;
 createStdData();
 return genericTypeInference.getOutputDataType();
}

/**
 * Given input schemas, this method matches them to the expected type signatures, and finds bindings to the
 * generic parameters. Once the generic parameter bindings are known, the method infers the output type (in the form
 * of an Avro schema) by substituting the binding values in the output type signature.
 * signature and
 * @param arguments Input Avro Schemas of UDF parameters.
 * @return Inferred output Avro Schema.
 */
public Schema initialize(Schema[] arguments) {
 AvroTypeInference avroTypeInference = new AvroTypeInference();
 avroTypeInference.compile(arguments, getStdUdfImplementations(), getTopLevelUdfClass());
 _inputSchemas = avroTypeInference.getInputDataTypes();
 _stdFactory = avroTypeInference.getStdFactory();
 _stdUdf = avroTypeInference.getStdUdf();
 _nullableArguments = _stdUdf.getAndCheckNullableArguments();
 _stdUdf.init(_stdFactory);
 _requiredFilesProcessed = false;
 createStdData();
 return avroTypeInference.getOutputDataType();
}

/**
 * Given input schemas, this method matches them to the expected type signatures, and finds bindings to the
 * generic parameters. Once the generic parameter bindings are known, the method infers the output type (in the form
 * of an Avro schema) by substituting the binding values in the output type signature.
 * signature and
 * @param arguments Input Avro Schemas of UDF parameters.
 * @return Inferred output Avro Schema.
 */
public Schema initialize(Schema[] arguments) {
 AvroTypeInference avroTypeInference = new AvroTypeInference();
 avroTypeInference.compile(arguments, getStdUdfImplementations(), getTopLevelUdfClass());
 _inputSchemas = avroTypeInference.getInputDataTypes();
 _stdFactory = avroTypeInference.getStdFactory();
 _stdUdf = avroTypeInference.getStdUdf();
 _nullableArguments = _stdUdf.getAndCheckNullableArguments();
 _stdUdf.init(_stdFactory);
 _requiredFilesProcessed = false;
 createStdData();
 return avroTypeInference.getOutputDataType();
}

/**
 * Given input object inspectors, this method matches them to the expected type signatures, and finds bindings to the
 * generic parameters. Once the generic parameter bindings are known, the method infers the output type (in the form
 * of object inspectors) by substituting the binding values in the output type signature.
 * signature and
 * @param arguments Input object inspectors of UDF parameters.
 * @return Inferred output object inspector.
 */
@Override
public ObjectInspector initialize(ObjectInspector[] arguments) {
 HiveTypeInference hiveTypeInference = new HiveTypeInference();
 hiveTypeInference.compile(
   arguments,
   getStdUdfImplementations(),
   getTopLevelUdfClass()
 );
 _inputObjectInspectors = hiveTypeInference.getInputDataTypes();
 _stdFactory = hiveTypeInference.getStdFactory();
 _stdUdf = hiveTypeInference.getStdUdf();
 _nullableArguments = _stdUdf.getAndCheckNullableArguments();
 _stdUdf.init(_stdFactory);
 _requiredFilesProcessed = false;
 createStdData();
 return hiveTypeInference.getOutputDataType();
}

/**
 * Given input object inspectors, this method matches them to the expected type signatures, and finds bindings to the
 * generic parameters. Once the generic parameter bindings are known, the method infers the output type (in the form
 * of object inspectors) by substituting the binding values in the output type signature.
 * signature and
 * @param arguments Input object inspectors of UDF parameters.
 * @return Inferred output object inspector.
 */
@Override
public ObjectInspector initialize(ObjectInspector[] arguments) {
 HiveTypeInference hiveTypeInference = new HiveTypeInference();
 hiveTypeInference.compile(
   arguments,
   getStdUdfImplementations(),
   getTopLevelUdfClass()
 );
 _inputObjectInspectors = hiveTypeInference.getInputDataTypes();
 _stdFactory = hiveTypeInference.getStdFactory();
 _stdUdf = hiveTypeInference.getStdUdf();
 _nullableArguments = _stdUdf.getAndCheckNullableArguments();
 _stdUdf.init(_stdFactory);
 _requiredFilesProcessed = false;
 createStdData();
 return hiveTypeInference.getOutputDataType();
}