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An input table can be either comma-separated values (CSV) or database (DB) table in local GeoDB or RDS. This method is useful for message routing framework (MRF) proxy.

This method is more error-prone than using netCDF as an input source to mosaic.

Step-by-Step Guide

This guide uses Python and Amazon Web Services (AWS) Relational Database Service (RDS).

  1. Import sqlalchemy
  2. Create model.py
  3. Set dimensions value to fixed value such as t;z

Note: If the dimensions field is missing in a table, BMI in Mosaic Dataset Configuration Scripts (MDCS) doesn't work, although it doesn't throw any error. ArcGIS Pro throws an error -999999.0 when Build Multidimensional Info is used.

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