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https://issues.apache.org/jira/browse/NIFI-1682?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15805566#comment-15805566
 ] 

ASF GitHub Bot commented on NIFI-1682:
--------------------------------------

Github user pvillard31 commented on a diff in the pull request:

    https://github.com/apache/nifi/pull/1328#discussion_r95008584
  
    --- Diff: 
nifi-nar-bundles/nifi-stateful-analysis-bundle/nifi-stateful-analysis-processors/src/main/java/org/apache/nifi/processors/stateful/analysis/AttributeRollingWindow.java
 ---
    @@ -0,0 +1,325 @@
    +/*
    + * 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.nifi.processors.stateful.analysis;
    +
    +import org.apache.nifi.annotation.behavior.InputRequirement;
    +import org.apache.nifi.annotation.behavior.Stateful;
    +import org.apache.nifi.annotation.behavior.TriggerSerially;
    +import org.apache.nifi.annotation.behavior.WritesAttribute;
    +import org.apache.nifi.annotation.behavior.WritesAttributes;
    +import org.apache.nifi.annotation.documentation.CapabilityDescription;
    +import org.apache.nifi.annotation.documentation.Tags;
    +import org.apache.nifi.annotation.lifecycle.OnScheduled;
    +import org.apache.nifi.components.PropertyDescriptor;
    +import org.apache.nifi.components.state.Scope;
    +import org.apache.nifi.components.state.StateManager;
    +import org.apache.nifi.components.state.StateMap;
    +import org.apache.nifi.flowfile.FlowFile;
    +import org.apache.nifi.processor.AbstractProcessor;
    +import org.apache.nifi.processor.ProcessContext;
    +import org.apache.nifi.processor.ProcessSession;
    +import org.apache.nifi.processor.Relationship;
    +import org.apache.nifi.processor.exception.ProcessException;
    +import org.apache.nifi.processor.util.StandardValidators;
    +
    +import java.io.IOException;
    +import java.util.ArrayList;
    +import java.util.Collections;
    +import java.util.HashMap;
    +import java.util.HashSet;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Set;
    +import java.util.concurrent.TimeUnit;
    +
    +import static 
org.apache.nifi.processors.stateful.analysis.AttributeRollingWindow.ROLLING_WINDOW_COUNT_KEY;
    +import static 
org.apache.nifi.processors.stateful.analysis.AttributeRollingWindow.ROLLING_WINDOW_VALUE_KEY;
    +
    +@TriggerSerially
    +@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
    +@Tags({"Attribute Expression Language", "state", "data science", 
"rolling", "window"})
    +@CapabilityDescription("Track a Rolling Window based on evaluating an 
Expression Language expression on each FlowFile and add that value to the 
processor's state. Each FlowFile will be emitted " +
    +        "with the count of FlowFiles and total aggregate value of values 
processed in the current time window.")
    +@WritesAttributes({
    +        @WritesAttribute(attribute = ROLLING_WINDOW_VALUE_KEY, description 
= "The rolling window value (sum of all the values stored)."),
    +        @WritesAttribute(attribute = ROLLING_WINDOW_COUNT_KEY, description 
= "The count of the number of FlowFiles seen in the rolling window.")
    +})
    +@Stateful(scopes = {Scope.LOCAL}, description = "Store the values backing 
the rolling window. This includes storing the individual values and their 
time-stamps or the batches of values and their " +
    +        "counts.")
    +public class AttributeRollingWindow extends AbstractProcessor {
    +
    +    public static final String COUNT_KEY = "count";
    +    public static final String ROLLING_WINDOW_VALUE_KEY = 
"rolling_window_value";
    +    public static final String ROLLING_WINDOW_COUNT_KEY = 
"rolling_window_count";
    +
    +    public static final String CURRENT_MICRO_BATCH_STATE_TS_KEY = 
"start_curr_batch_ts";
    +    public static final String BATCH_APPEND_KEY = "_batch";
    +    public static final String COUNT_APPEND_KEY = "_count";
    +    public static final int COUNT_APPEND_KEY_LENGTH = 6;
    +
    +    static final PropertyDescriptor VALUE_TO_TRACK = new 
PropertyDescriptor.Builder()
    +            .name("Value to track")
    --- End diff --
    
    Use .displayName() in addition to .name()?


> Processor to do Rolling Window calculations using FlowFile attributes
> ---------------------------------------------------------------------
>
>                 Key: NIFI-1682
>                 URL: https://issues.apache.org/jira/browse/NIFI-1682
>             Project: Apache NiFi
>          Issue Type: New Feature
>            Reporter: Joseph Percivall
>            Assignee: Joseph Percivall
>
> Using state it is now possible to store a map of key value pairs up to 1mb. 
> Taking into account storing a timestamp string and a double converted to a 
> string this is on the order of 5000 values. This enables a processor that can 
> store a rolling window of values to calculate things such as a rolling mean.



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