This is also a feature we need for our time-series processing
> On 19 Dec 2016, at 04:07, Liang-Chi Hsieh <vii...@gmail.com> wrote: > > > Hi, > > As I know, Spark SQL doesn't provide native support for this feature now. > After searching, I found only few database systems support it, e.g., > PostgreSQL. > > Actually based on the Spark SQL's aggregate system, I think it is not very > difficult to add the support for this feature. The problem is how frequently > this feature is needed for Spark SQL users and if it is worth adding this, > because as I see, this feature is not very common. > > Alternative possible to achieve this in current Spark SQL, is to use > Aggregator with Dataset API. You can write your custom Aggregator which has > an user-defined JVM object as buffer to hold the input data into your > aggregate function. But you may need to write necessary encoder for the > buffer object. > > If you really need this feature, you may open a Jira to ask others' opinion > about this feature. > > > > > > > ----- > Liang-Chi Hsieh | @viirya > Spark Technology Center > http://www.spark.tc/ > -- > View this message in context: > http://apache-spark-developers-list.1001551.n3.nabble.com/Aggregating-over-sorted-data-tp19999p20273.html > Sent from the Apache Spark Developers List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
