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Adding spark to Makefile and Contact.md (#11)
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docs/about/contact.md

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@@ -7,6 +7,7 @@ If you have any issues with any of the particular Bullet sub-components, feel fr
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| | |
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| ------------- | ------ |
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| Storm | [https://github.com/bullet-db/bullet-storm/issues](https://github.com/bullet-db/bullet-storm/issues) |
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| Spark | [https://github.com/bullet-db/bullet-spark/issues](https://github.com/bullet-db/bullet-spark/issues) |
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| Web Service | [https://github.com/bullet-db/bullet-service/issues](https://github.com/bullet-db/bullet-service/issues) |
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| UI | [https://github.com/bullet-db/bullet-ui/issues](https://github.com/bullet-db/bullet-ui/issues) |
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| Record | [https://github.com/bullet-db/bullet-record/issues](https://github.com/bullet-db/bullet-record/issues) |

docs/quick-start/spark.md

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```
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The Backend will usually be up and running usually within 5-10 seconds. Once it is running you can get information about the Spark job in the Spark UI, which can be seen in your browser at ```http://localhost:4040``` by default. The Web Service will now be hooked up through the Kafka PubSub to the Spark backend. To test it you can now run a Bullet query by hitting the Web Service directly:
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The Backend will usually be up and running usually within 5-10 seconds. Once it is running you can get information about the Spark job in the Spark UI, which can be seen in your browser at [http://localhost:4040](http://localhost:4040) by default. The Web Service will now be hooked up through the Kafka PubSub to the Spark backend. To test it you can now run a Bullet query by hitting the Web Service directly:
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```bash
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curl -s -H 'Content-Type: text/plain' -X POST -d '{"aggregation": {"size": 1}}' http://localhost:9999/api/bullet/sse-query

examples/Makefile

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clean:
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rm -rf examples_artifacts.tar.gz bullet-examples
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cd storm && mvn clean
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cd spark && mvn clean
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build-storm:
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mkdir -p bullet-examples/backend/storm

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