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| author | Reynold Xin <rxin@databricks.com> | 2015-11-03 16:27:56 -0800 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2015-11-03 16:27:56 -0800 |
| commit | 5051262d4ca6a2c529c9b1ba86d54cce60a7af17 (patch) | |
| tree | f7c89be1ccc400a803aaa136926b84405a7e43e1 /docs/sql-programming-guide.md | |
| parent | 53e9cee3e4e845d1f875c487215c0f22503347b1 (diff) | |
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[SPARK-11489][SQL] Only include common first order statistics in GroupedData
We added a bunch of higher order statistics such as skewness and kurtosis to GroupedData. I don't think they are common enough to justify being listed, since users can always use the normal statistics aggregate functions.
That is to say, after this change, we won't support
```scala
df.groupBy("key").kurtosis("colA", "colB")
```
However, we will still support
```scala
df.groupBy("key").agg(kurtosis(col("colA")), kurtosis(col("colB")))
```
Author: Reynold Xin <rxin@databricks.com>
Closes #9446 from rxin/SPARK-11489.
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