Updated Data Stores in 5 mins (markdown)
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## Current Data Stores
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### JSONDataStore
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### JSON Data Store
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1. Allows storing any valid JSON blob
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1. The entire blob is read/written when accessed
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1. Very flexible but not optimal for large datasets
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1. Stored in the backend's database, one row per instance
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### JSONFileDataStore
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### JSON File Data Store
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1. Allows storing any valid JSON blob
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1. The entire blob is read/written when accessed
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1. Very flexible but not optimal for large datasets
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1. Stored in a file that is committed to git along with process models
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1. Good for small static global data that should be included in PRs/promoted to other environments
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1. Good for small static global data that should be included in PRs/promoted to other environments
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### Keyed-Key-Value (KKV) Data Store
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1. Allows storing any valid JSON blob
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1. Each blob is segmented by two levels of keys
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1. An example use case, could be used to manage car lots for a large nationwide dealership
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1. Top level key is the car lot id
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1. Second level keys could be "inventory", "employees", "weekly-deals", etc
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1. Data is lazy loaded via a function pointer placed in task data
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1. A subset of data is read/written when accessed
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1. Stored in the backend's database, one row per instance/top level key/secondary key
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1. Good for larger datasets
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### Type Ahead Data Store
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1. Requires a structured JSON blob that details records to be used by the Type Ahead Widget
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1. Allows records to be indexed with different search terms (Dan, dan@, Mr. Funk, His Funkness -> Dan Funk)
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1. Is write-only from within BPMN diagrams
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1. Requires the entire data to be loaded in one shot
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1. Stored in the backend's database, one row per instance/search term
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1. Good only if you are using the Type Ahead Widget
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