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Goals
Our ultimate goal is to use AWS RDS for both input and output of mosaic data set creation. Ideally, input will be a staging RDS and output will be a production RDS.
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<AddRaster>
<dataset_id>power</dataset_id>
<raster_type>Table / Raster Catalog</raster_type>
<Sources>
<data_path>Z:\home\arcgis\data\CERES.csv</data_path>
</Sources>
<filter>*</filter>
</AddRaster> |
Step-by-step guide for AWS RDS Output
- Create .sde connection [2].
Use the .sde file to specify mosaic destination (e.g., test_mosaic) using CLI. It will ignore Geodatabase in MDCS.xml file.
Code Block language powershell PowerShell>%py% MDCS.py -i:MDCS_Solar.xml -m:Z:\home\arcgis\etc\aws_rds_geodb_conn.sde\test_mosaic
Step-by-step guide for AWS RDS Input
- Create .sde connection file [2].
- Create a table called test_csv in AWS RDS from CERES.csv file using ArcGIS Pro Geoprocessing Tool in Catalog window.
Use the .sde file to specify table destination.
Code Block language xml <AddRasters> <AddRaster> <dataset_id>power</dataset_id> <raster_type>Table / Raster Catalog</raster_type> <Sources> <data_path>Z:\home\arcgis\etc\aws_rds_geodb_conn.sde\test_csv</data_path> </Sources> <filter>*</filter> </AddRaster> </AddRasters>- Run the MDCS script as usual.
| Info |
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Raster proxies can refer to AWS RDS [1]. From Abhijit, In MDCS to add raster to mosaic in SDE ( remote database) you can pass the path as below C:\Image_Mgmt_Workflows\NASA\Parameter\sde_conn.sde\testmosaic Where “C:\Image_Mgmt_Workflows\NASA\Parameter\sde_conn.sde” is the connection file for sde |
References
- https://github.com/Esri/mdcs-py/blob/master/Documentation/MDTools_ReadMe.pdf
- https://pro.arcgis.com/en/pro-app/tool-reference/data-management/create-database-connection.htm
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