What Elasticsearch river plugins have you used, and what has been your experience so far?
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Answer:
I have used the Twitter, RSS, JDBC, MongoDB, CSV and Kafka rivers. And have written a few custom ones for internal use at my job. Some of them don't scale well. Bombard them with a lot of events and things slow down to a crawl at times. Setting some of them up can be a pain. Mainly due to version incompatibilities, etc. given that Elasticsearch versions are released at a firing pace, and you can't ignore the newer versions as they tend to be so much more stable. And then, you end up with a river plugin that takes 6 months to get updated to the latest version. Writing custom rivers can be a pain sometimes, because there's a bunch of concurrency aspects that need to be understood. Although this is true about any Java program, but in case of rivers, it does help to understand the lifecycle when a river is created, when events occur for a river, and when a river is closed. Exception handling also requires quite a lot of attention, else resource leaks are common. P.S. If possible, I'd rather change my feeds into something similar to logs, and use Logstash to push them to Elasticsearch.
Aritra Chatterjee at Quora Visit the source
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