GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/11269
[SPARK-13363][SQL] Support Aggregator in DataFrame
Support user-defined `Aggregator`s in DataFrame.
Currently, the code below does not work because of an unresolved error in
`CheckAnalysis`.
```
val simpleSum = new SqlAggregator[Int, Int, Int] {
def zero: Int = 0 // The initial value.
def reduce(b: Int, a: Int) = b + a // Add an element to the running
total
def merge(b1: Int, b2: Int) = b1 + b2 // Merge intermediate values.
def finish(b: Int) = b // Return the final result.
}.toColumn
val df = sc.makeRDD(1 to 3).map(i => (i, i)).toDF("k", "v")
df.groupBy("k").agg(simpleSum).show
```
This pr fix this and add tests according to `DatasetAggregatorSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/maropu/spark SupportAggregatorInDF
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11269.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #11269
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