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Bahmni LITE comes with CIEL Concept dictionary, which comprises of over 50K medical terms. This can slow down the first time initialisation initialization of DB. To use a pre-loaded DB with CIEL dictionary, to increase decrease startup time, please follow these steps. |
Use the bahmni/openmrs-db:clinic-config docker image as OpenMRS DB to reduce the booting boot-up time of Bahmni Lite.
Perform the following one-time steps:
Change the OPENMRS_DB_IMAGE_NAME variable to
bahmni/openmrs-db:clinic-configin .env file of Bahmni LiteCode Block OPENMRS_DB_IMAGE_NAME=bahmni/openmrs-db:clinic-config
Un-comment the volume mounts for
configuration_checksumsin openmrs and openmrs-db service in the docker-compose.yamlyml of Bahmni Lite. This is done so that the initializer module does not re-execute the changelogs which are already executed and loaded into the database.Check the atomfeed creds in .env file. They should be as follows:
Code Block OPENMRS_ATOMFEED_USER=admin OPENMRS_ATOMFEED_PASSWORD=Admin123Start Bahmni Lite (that’s it!)
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The DB dump with CIEL data is maintained here on github: https://github.com/Bahmni/clinic-config/tree/main/package/docker/resources |
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Running Bahmni on Docker |
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