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dcf-service

** DataChannel Filtering Service **

Getting Started

Access and filter Iot Data by using the easiness of Sql. Apply filter at runtime without having to manage hard to code low level Kafka Stream.

This service is integrated with SSO in Nimble (Identity Service) and allow data producers to add another level of access control over messages they are going to publish into Data-Channel by filtering data per row with WHERE conditions - similarly to Sql - and to choice list of columns to show.

In this release Channel, users, group and filter have to be configured in internal instance of mysql.

This service is deployed in Ibm Nimble Cluster at https://nimble.eu-de.containers.appdomain.cloud/dcf-service/

- start

clone the project in https://github.com/nimble-platform/dcf_service

customize your .env file in order to connect to Ibm Bluemix Kafka service you need to configure MESSAGE_HUB_CREDENTIALS={ "instance_id": "changeme", "mqlight_lookup_url": "changeme", "api_key": "changeme", "kafka_admin_url": "changeme", "kafka_rest_url": "changeme", "kafka_brokers_sasl": [ "changeme:9093", "changeme:9093"], "user": "changeme", "password": "changeme" }

./runDcfsNimble.sh & in a docker-compose enabled sys op.

- stop

docker-compose down

- after start

a) filtering last json data produced by message service last messages - http://localhost:8080/dcf-service/consumer/filterChannel/DCFS_STREAMS_DC_MESSAGESERVICE/*

b) filtering with a like condition DATA LIKE '%workdone' (consider urlencode rule) http://localhost:8080/dcf-service/consumer/filterChannel/DCFS_STREAMS_DC_MESSAGESERVICE/DATA%20LIKE%20%27%25workdone%27

c) filtering with an attribute which is also keyword - use SOURCE='whi' (consider url encode rule) http://localhost:8080/dcf-service/consumer/filterChannel/DCFS_STREAMS_DC_MESSAGESERVICE/%60SOURCE%60%3D%27whi%27

d) same filter enabled server side with SOURCE='whi' http://localhost:8080/dcf-service/consumer/filterChannel/FSTF/pwd/0/DCFS_STREAMS_DC_MESSAGESERVICEWHI/*


The project leading to this application has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 723810.