I was wondering if anyone, who is a Spark Scala developer, would be willing to continue the work done for the Kudu connector?
https://github.com/apache/incubator-kudu/tree/master/java/kudu-spark/src/main/scala/org/kududb/spark/kudu I have been testing and using Kudu for the past month and comparing against HBase. It seems like a promising data store to complement Spark. It fills the gap in our company as a fast updatable data store. We stream GB’s of data in and run analytical queries against it, which run in well below a minute typically. According to the Kudu users group, all it needs is to add SQL (JDBC) friendly features (CREATE TABLE, intuitive save modes (append = upsert and overwrite = truncate + insert), DELETE, etc.) and improve performance by implementing locality. For reference, here is the page on contributing. http://kudu.apache.org/docs/contributing.html I am hoping that for individuals in the Spark community it would be relatively easy. Thanks! --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
