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/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 com.datatorrent.lib.streamquery.condition;

import java.util.HashMap;
import java.util.Map;


/**
 * An implementation of condition on column equality.
 * 

* A valid row must have all key/value map in column name/value map. * * Properties :
* equalMap : Column equal value map store. * @displayName Equal Value Condition * @category Stream Manipulators * @tags sql condition * @since 0.3.4 */ public class EqualValueCondition extends Condition { /** * Equal column map. */ private HashMap equalMap = new HashMap(); /** * Add column equal condition. */ public void addEqualValue(String column, Object value) { equalMap.put(column, value); } /** * Check valid row. */ @Override public boolean isValidRow(Map row) { // no conditions if (equalMap.size() == 0) { return true; } // compare each condition value for (Map.Entry entry : equalMap.entrySet()) { if (!row.containsKey(entry.getKey())) { return false; } Object value = row.get(entry.getKey()); if (entry.getValue() == null) { if (value == null) { return true; } return false; } if (value == null) { return false; } if (!entry.getValue().equals(value)) { return false; } } return true; } /** * check valid join, not implemented * * @return false */ @Override public boolean isValidJoin(Map row1, Map row2) { return false; } }





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