[CRON] Broken: apache/druid#25785 (master - 32cd47b)

2020-03-05 Thread Travis CI
Build Update for apache/druid - Build: #25785 Status: Broken Duration: 56 secs Commit: 32cd47b (master) Author: Clint Wylie Message: Fix home view styling (#9444) View the changeset:

[CRON] Broken: apache/druid#25785 (master - 32cd47b)

2020-03-05 Thread Travis CI
Build Update for apache/druid - Build: #25785 Status: Broken Duration: 3 mins and 38 secs Commit: 32cd47b (master) Author: Clint Wylie Message: Fix home view styling (#9444) View the changeset:

Re: Spark-based ingestion into Druid

2020-03-05 Thread Julian Jaffe
Yeah, I think the primary objective here is a standalone writer from Spark to Druid. On Thu, Mar 5, 2020 at 11:43 AM itai yaffe wrote: > Thanks Julian! > I'm actually targeting for this connector to allow write capabilities (at > least as a first phase), rather than focusing on read

Re: Spark-based ingestion into Druid

2020-03-05 Thread itai yaffe
Thanks Julian! I'm actually targeting for this connector to allow write capabilities (at least as a first phase), rather than focusing on read capabilities. Having said that, I definitely see the value (even for the use-cases in my company) of having a reader that queries S3 segments directly!

Re: Travis emails being send to dev list

2020-03-05 Thread Gian Merlino
Ah, that seems like a good reason to send mails to the dev list. I _think_ I just whitelisted the address. (I'm not totally sure, since it's the first time I've done it, and the mailing list interface is a bit esoteric.) On Wed, Mar 4, 2020 at 12:14 PM Chi Cao Minh wrote: > The travis emails to

Re: Spark-based ingestion into Druid

2020-03-05 Thread Julian Jaffe
The spark-druid-connector you shared brings up another design decision we should probably talk through. That connector effectively wraps an HTTP query client with Spark plumbing. An alternative approach (and the one I ended up building due to our business requirements) is to build a reader that

Re: Spark-based ingestion into Druid

2020-03-05 Thread itai yaffe
I'll let Julian answer, but in the meantime, I just wanted to point out we might be able to draw some inspiration from this Spark-Redshift connector (https://github.com/databricks/spark-redshift#scala). Though it's somewhat outdated, it probably can be used as a reference for this new