Thanks for the reply Yun.
I’m not quite clear how this would exactly help on the upsert side? Are you suggesting deriving the type from Phoenix then doing the encoding/decoding and writing/reading directly from HBase? Thanks, Brandon From: Jaanai Zhang <cloud.pos...@gmail.com> Reply-To: <user@phoenix.apache.org> Date: Sunday, August 5, 2018 at 9:34 PM To: <user@phoenix.apache.org> Subject: Re: Spark-Phoenix Plugin You can get data type from Phoenix meta, then encode/decode data to write/read data. I think this way is effective, FYI :) ---------------------------------------- Yun Zhang Best regards! 2018-08-04 21:43 GMT+08:00 Brandon Geise <brandonge...@gmail.com>: Good morning, I’m looking at using a combination of Hbase, Phoenix and Spark for a project and read that using the Spark-Phoenix plugin directly is more efficient than JDBC, however it wasn’t entirely clear from examples when writing a dataframe if an upsert is performed and how much fine-grained options there are for executing the upsert. Any information someone can share would be greatly appreciated! Thanks, Brandon
