package com.linkedin.databus.eventgenerator; /* * * Copyright 2013 LinkedIn Corp. All rights reserved * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. * */ import org.apache.avro.Schema.Field; import org.apache.avro.generic.GenericRecord; public class IntegerFieldGenerate extends SchemaFiller { private static int minIntLength = -10; private static int maxIntLength = Integer.MAX_VALUE; public static int getMinIntLength() { return minIntLength; } public static void setMinIntLength(int minIntLength) { IntegerFieldGenerate.minIntLength = minIntLength; } public static int getMaxIntLength() { return maxIntLength; } public static void setMaxIntLength(int maxIntLength) { IntegerFieldGenerate.maxIntLength = maxIntLength; } public IntegerFieldGenerate(Field field) { super(field); } @Override public void writeToRecord(GenericRecord genericRecord) { genericRecord.put(this.field.name(), generateInteger()); } @Override public Object generateRandomObject() throws UnknownTypeException { return generateInteger(); } public Integer generateInteger() { return randGenerator.getNextInt(minIntLength, maxIntLength); } }