content: /*
   * Copyright 2022 The FeatHub 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
   *
   *     https://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.alibaba.feathub.flink.udf.processfunction;
  
  import org.apache.flink.types.Row;
  
  import com.alibaba.feathub.flink.udf.AggregationFieldsDescriptor;
  
  import java.util.Objects;
  
  /** Common util methods for window process functions. */
  class WindowUtils {
  
      /** Return true if the two rows have the same aggregation results. */
      static boolean hasEqualAggregationResult(
              AggregationFieldsDescriptor aggDescriptors, Row row0, Row row1) {
          if (row0 == null || row1 == null) {
              return row0 == null && row1 == null;
          }
  
          for (AggregationFieldsDescriptor.AggregationFieldDescriptor descriptor :
                  aggDescriptors.getAggFieldDescriptors()) {
              if (!Objects.equals(
                      row0.getField(descriptor.fieldName), row1.getField(descriptor.fieldName))) {
                  return false;
              }
          }
  
          return true;
      }
  }
  