Hi, team. A long time ago, we arbitrarily used spark for dependency link aggregation (porting the work from Eirik's hadoop job). The initial spark job was created incomplete then abandoned by the author. I've tried a lot to support it, but it has been perpetual maintenance and most of us have no idea how to support it. Yet, we get a lot of user questions about it and the support load is higher than most of our projects.
The Elasticsearch part is landmines from the "wan only" stuff, to them having a narrow supported range of versions. It is rev-locked to a JRE (even if will change later). We've had users complain about CVE maintenance and actively ask for a non-spark option. General support comes in questions about cluster distribution which no-one knows the answer to. I've recently in desperation added a change to help show where Spark support is. https://github.com/openzipkin/zipkin-dependencies/pull/133 All this said, despite the problems running distributed or with elasticsearch, most can start the zipkin-dependencies job as a one-shot cron job without much help. I think we have to be honest about the fact that since this project started, we've rarely had anyone able to support it. I hope we can get out of the mutually disappointing support swamp. Does anyone have any ideas? I would like to think someone could come in and save us, but seems we should also consider other tools as that usually doesn't happen, and one person saving us isn't sustainable (usually we need a few people to know a tool in order to realistically support it). It is possible to recruit for this, but we need significant close buy-in from people who know spark imho, like actually helping with support, if we want to continue this path. I know there's a Kafka streaming option [1]. I also know some have used Flink, and some have had interest in Pulsar. I think we should have streaming options, but fact is many don't use any buffer like Kafka (direct http), which leads me to think we still need an after-the-fact option (pull from storage). Moreover spark's embedded mode is nice as it can be treated as a dumb cron job. Looking for ideas, -A [1] https://github.com/sysco-middleware/zipkin-dependencies-streaming --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
