dianfu commented on a change in pull request #7209: [FLINK-10977][table] Add 
UnBounded FlatAggregate operator to streaming Table API
URL: https://github.com/apache/flink/pull/7209#discussion_r241281516
 
 

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 File path: 
flink-libraries/flink-table-common/src/main/java/org/apache/flink/table/functions/TableAggregateFunction.java
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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 org.apache.flink.table.functions;
+
+import org.apache.flink.annotation.PublicEvolving;
+
+/**
+ * Base class for user-defined table aggregates.
+ *
+ * <p>The behavior of an {@link TableAggregateFunction} can be defined by 
implementing a series of custom
+ * methods. An {@link TableAggregateFunction} needs at least three methods:
+ *  - <code>createAccumulator</code>,
+ *  - <code>accumulate</code>, and
+ *  - <code>emitValue</code> or <code>emitValueWithRetract</code>.
+ *
+ * <p>There are a few other methods that can be optional to have:
+ *  - <code>retract</code>,
+ *  - <code>merge</code>, and
+ *  - <code>resetAccumulator</code>.
+ *
+ * <p>All these methods must be declared publicly, not static, and named 
exactly as the names
+ * mentioned above. The methods {@link #createAccumulator()} are defined in
+ * the {@link TableAggregateFunction} functions, while other methods are 
explained below.
+ *
+ * <pre>
+ * {@code
+ * Processes the input values and update the provided accumulator instance. 
The method
+ * accumulate can be overloaded with different custom types and arguments. A 
TableAggregateFunction
+ * requires at least one accumulate() method.
+ *
+ * param: accumulator           the accumulator which contains the current 
aggregated results
+ * param: [user defined inputs] the input value (usually obtained from a new 
arrived data).
+ *
+ * public void accumulate(ACC accumulator, [user defined inputs])
+ * }
+ * </pre>
+ *
+ * <pre>
+ * {@code
+ * Retracts the input values from the accumulator instance. The current design 
assumes the
+ * inputs are the values that have been previously accumulated. The method 
retract can be
+ * overloaded with different custom types and arguments. This function must be 
implemented for
+ * data stream bounded OVER aggregates.
+ *
+ * param: accumulator           the accumulator which contains the current 
aggregated results
+ * param: [user defined inputs] the input value (usually obtained from a new 
arrived data).
+ *
+ * public void retract(ACC accumulator, [user defined inputs])
+ * }
+ * </pre>
+ *
+ * <pre>
+ * {@code
+ * Merges a group of accumulator instances into one accumulator instance. This 
function must be
+ * implemented for data stream session window grouping aggregates and data set 
grouping aggregates.
+ *
+ * param: accumulator the accumulator which will keep the merged aggregate 
results. It should
+ *                    be noted that the accumulator may contain the previous 
aggregated
+ *                    results. Therefore user should not replace or clean this 
instance in the
+ *                    custom merge method.
+ * param: its         an java.lang.Iterable pointed to a group of accumulators 
that will be
+ *                    merged.
+ *
+ * public void merge(ACC accumulator, java.lang.Iterable<ACC> iterable)
+ * }
+ * </pre>
+ *
+ * <pre>
+ * {@code
+ * Resets the accumulator for this AggregateFunction. This function must be 
implemented for
 
 Review comment:
   AggregateFunction -> TableAggregateFunction

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