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Hierarchical topic aggregation in message brokers
This project forked from serviceprototypinglab/htabroker
Hierarchical topic aggregation in message brokers
Hierarchical (Geospatial) Topic Aggregation in Pub/Sub Message Brokers ---------------------------------------------------------------------- HTAbroker is a prototype for propagating and aggregating metrics submitted to pub/sub topics along geospatial hierarchies. It supports multiple indexing systems such as NUTS, geohash, H3 - some computationally, some data-driven, and some in hybrid mode. Run HTAbroker as CLI tool using either simulation or attached to the Apache Pulsar broker. Similar to the concept of FaaS, Pulsar allows deploying light-weight functions which are processed in an event-driven way; HTAbroker makes use of this concept to inject hierarchical subscription routes. For convenience, the system is also containerised. Run from code: term0% # install deps, e.g. pip3 install pulsar-client term1% ./pulsar-dockerised.sh term2% python3 htabroker.py Run as containers: term0% docker-compose run htabroker Once in the interactive shell, marked with ")))" in HTAbroker, everything should be self-explaining. You can follow the examples from the 'doc' file to get started. (Note: Function deployment is currently not working in the containerised version.)
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