Java tutorial
/* * Copyright 2016 the original author or authors. * * 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. */ package io.pivotal.dataflow.task.app.jdbcgemfire.common; import java.sql.ResultSet; import java.sql.ResultSetMetaData; import java.sql.SQLException; import java.util.HashMap; import java.util.Map; import org.springframework.jdbc.core.RowMapper; import org.springframework.jdbc.support.JdbcUtils; public class JdbcColumnToPojoRowMapper implements RowMapper<Map<String, Object>> { @Override public Map<String, Object> mapRow(ResultSet rs, int arg1) throws SQLException { Map<String, Object> builder = new HashMap<>(); Map<String, Object> processed = new HashMap<>(); ColumnStandardMapper mapper = new ColumnStandardMapper(); ResultSetMetaData metaData = rs.getMetaData(); for (int i = 1; i <= metaData.getColumnCount(); i++) { builder.put(JdbcUtils.lookupColumnName(metaData, i), JdbcUtils.getResultSetValue(rs, i)); } // send map to groovyColumnProcessor.process() processed = mapper.process(builder); return processed; } }