https://github.com/geomesa/geomesa-nifi

Nifi Processors for ingesting and converting geo data using GeoMesa and GeoTools
https://github.com/geomesa/geomesa-nifi

Last synced: about 1 month ago
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Nifi Processors for ingesting and converting geo data using GeoMesa and GeoTools

• Host: GitHub
• URL: https://github.com/geomesa/geomesa-nifi
• Owner: geomesa
• License: apache-2.0
• Created: 2015-05-28T21:42:57.000Z (about 9 years ago)
• Default Branch: main
• Last Pushed: 2024-04-22T12:50:55.000Z (2 months ago)
• Last Synced: 2024-04-24T12:06:15.882Z (2 months ago)
• Language: Scala
• Homepage:
• Size: 1.52 MB
• Stars: 30
• Watchers: 17
• Forks: 26
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

Lists

• awesome-nifi - jahhulbert-ccri/geomesa-nifi - NiFi GeoMesa ingest processor (Processors and Bundles / Mailing List Best Of)

README

        
# GeoMesa NiFi

See the official GeoMesa [documentation](https://www.geomesa.org/documentation/stable/user/nifi/index.html) for details.

## Development

Requirements:

* Java JDK 8

* Maven 3.6 or later

GeoMesa NiFi builds with Maven:

    mvn clean install

After building, NiFi can be run for local testing through the provided script:

    ./build/run-nifi.sh 

The script requires the name of a back-end NAR to mount, such as `accumulo21` or `kafka`. Run the script

without any arguments to see the available NARs. Once started, NiFi can be accessed at

`http://localhost:8080/nifi`. The default credentials are `nifi`/`nifipassword`. There is a small flow

already bundled, which will attempt to ingest a few thousand rows of GDELT data. The flow does not include

a data store service, which must be configured depending on the NAR being mounted and the local environment.