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  • Until a more robust state provider that is designed to handle tens of thousands of requests per second is created, this will only use local state. 
  • This will not be designed with the end-goal of acting as a streaming analytics platform but as another tool for the dataflow manager to route data.

  • That decimals will be added to Expression Language 
    Jira
    serverASF JIRA
    serverId5aa69414-a9e9-3523-82ec-879b028fb15b
    keyNIFI-1662
     . Data analytics using Expression language is all but useless Language is very limited without the ability to work with decimals. That being said, there are a couple niche use-cases outside of data analytics that could use stateful analytics.

Requirements

#TitleUser StoryImportanceNotes
1Add state to UpdateAttributeDataflow manager wants to do stateful analysis using the life of the flow. 

Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyNIFI-1582

2

Create a new RollingWindowAggregator processor

Dataflow manager wants to do stateful aggregation using a rolling window of values. 
Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyNIFI-1682

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