[DOCS] Fix error: ambiguous reference to overloaded definition #18272
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…groupBy in class Dataset of type (col1: String, cols: String*) and (cols: org.apache.spark.sql.Column*)
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Hm, how do both match? the first one must have at least one String arg. |
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Author
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@srowen Ambiguity is due to the lack of parentheses behind groupBy. So it should be |
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OK yeah I tried it and the error is a little more specifically that you can't invoke a varargs method this way. |
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Test build #3791 has finished for PR 18272 at commit
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Merged to master/2.2 |
asfgit
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Jun 12, 2017
## What changes were proposed in this pull request? `df.groupBy.count()` should be `df.groupBy().count()` , otherwise there is an error : ambiguous reference to overloaded definition, both method groupBy in class Dataset of type (col1: String, cols: String*) and method groupBy in class Dataset of type (cols: org.apache.spark.sql.Column*) ## How was this patch tested? ```scala val df = spark.readStream.schema(...).json(...) val dfCounts = df.groupBy().count() ``` Author: Ziyue Huang <[email protected]> Closes #18272 from ZiyueHuang/master. (cherry picked from commit e6eb02d) Signed-off-by: Sean Owen <[email protected]>
dataknocker
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Jun 16, 2017
## What changes were proposed in this pull request? `df.groupBy.count()` should be `df.groupBy().count()` , otherwise there is an error : ambiguous reference to overloaded definition, both method groupBy in class Dataset of type (col1: String, cols: String*) and method groupBy in class Dataset of type (cols: org.apache.spark.sql.Column*) ## How was this patch tested? ```scala val df = spark.readStream.schema(...).json(...) val dfCounts = df.groupBy().count() ``` Author: Ziyue Huang <[email protected]> Closes apache#18272 from ZiyueHuang/master.
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What changes were proposed in this pull request?
df.groupBy.count()should bedf.groupBy().count(), otherwise there is an error :ambiguous reference to overloaded definition, both method groupBy in class Dataset of type (col1: String, cols: String*) and method groupBy in class Dataset of type (cols: org.apache.spark.sql.Column*)
How was this patch tested?