Maintaining traditional B-Tree or Hash indexes in a system like Spark SQL
would be very difficult, mostly since a very common use case is to process
data that we don't own (i.e. a folder in HDFS or a bucket on S3). As such,
we don't have the opportunity to update the index, since users can add dat
The answer is simply NO,
But I hope someone could give more deep insight or any meaningful reference
在2015年08月19日 15:21，Todd 写道:
I don't find related talk on whether spark sql supports column indexing. If it
does, is there guide how to do it? Thanks.
I don't find related talk on whether spark sql supports column indexing. If it
does, is there guide how to do it? Thanks.
