Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/11443#issuecomment-195072533
I have gone through the list. Those MIMA errors are all caused by the fact
that `DataFrame` is not a class anymore. Here are a few representative examples.
```
[error] * method tables(java.lang.String)org.apache.spark.sql.DataFrame in
class org.apache.spark.sql.SQLContext has now a different result type; was:
org.apache.spark.sql.DataFrame, is now: org.apache.spark.sql.Dataset
[error] filter with:
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org.apache.spark.sql.SQLContext.tables")
[error] * method
filter(org.apache.spark.sql.Column)org.apache.spark.sql.DataFrame in class
org.apache.spark.sql.DataFrame does not have a correspondent in new version
[error] filter with:
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.sql.DataFrame.filter")
[error] * abstract method predictions()org.apache.spark.sql.Dataset in
interface org.apache.spark.ml.classification.LogisticRegressionSummary does not
have a correspondent in old version
[error] filter with:
ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.ml.classification.LogisticRegressionSummary.predictions")
```
I think we can go ahead to add rules to exclude those changes and merge
this PR.
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