001 /** 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, software 013 * distributed under the License is distributed on an "AS IS" BASIS, 014 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 015 * See the License for the specific language governing permissions and 016 * limitations under the License. 017 */ 018 019 package org.apache.hadoop.mapreduce.lib.db; 020 021 import java.sql.ResultSet; 022 import java.sql.SQLException; 023 import java.util.List; 024 025 import org.apache.hadoop.classification.InterfaceAudience; 026 import org.apache.hadoop.classification.InterfaceStability; 027 import org.apache.hadoop.conf.Configuration; 028 import org.apache.hadoop.mapreduce.InputSplit; 029 030 /** 031 * DBSplitter will generate DBInputSplits to use with DataDrivenDBInputFormat. 032 * DataDrivenDBInputFormat needs to interpolate between two values that 033 * represent the lowest and highest valued records to import. Depending 034 * on the data-type of the column, this requires different behavior. 035 * DBSplitter implementations should perform this for a data type or family 036 * of data types. 037 */ 038 @InterfaceAudience.Public 039 @InterfaceStability.Evolving 040 public interface DBSplitter { 041 /** 042 * Given a ResultSet containing one record (and already advanced to that record) 043 * with two columns (a low value, and a high value, both of the same type), determine 044 * a set of splits that span the given values. 045 */ 046 List<InputSplit> split(Configuration conf, ResultSet results, String colName) throws SQLException; 047 }