A good example of the count/sum/average can be found in our StatsCombiner example [1]. Joins are a complicated one- your implementation of joins will really depend on your data set and the expected sizes of each side of the join. You can obviously always resort to joining data together on different tablets using Mapreduce or Spark but you may be able to simulate more real-time joins if your data allows. Ordering is kind of the same here- depending on your data, you could use specialized indexes that take advantage of the Accumulo keys already being sorted.
If you can provide some more detail about your data set, we may be able to provide more specific examples on how to accomplish this. [1] https://accumulo.apache.org/1.6/examples/combiner.html On Sun, Dec 14, 2014 at 9:02 PM, panqing...@163.com <panqing...@163.com> wrote: > > Accumulo implementation of the join order count sum AVG how to achieve > this? > > > > -- > View this message in context: > http://apache-accumulo.1065345.n5.nabble.com/accumulo-join-order-count-sum-avg-tp12568.html > Sent from the Developers mailing list archive at Nabble.com. >
