SparkQA commented on issue #25771: [SPARK-28970][SQL] Implement USE CATALOG/NAMESPACE for Data Source V2 URL: https://github.com/apache/spark/pull/25771#issuecomment-535813706 **[Test build #111466 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/111466/testReport)** for PR 25771 at commit [`c192710`](https://github.com/apache/spark/commit/c192710b44939cbcd220afd3b9e23bde8135159f). * This patch **fails Spark unit tests**. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class _GaussianMixtureParams(HasMaxIter, HasFeaturesCol, HasSeed, HasPredictionCol,` * `class GaussianMixtureModel(JavaModel, _GaussianMixtureParams, JavaMLWritable, JavaMLReadable,` * `class GaussianMixture(JavaEstimator, _GaussianMixtureParams, JavaMLWritable, JavaMLReadable):` * `class _KMeansParams(HasMaxIter, HasFeaturesCol, HasSeed, HasPredictionCol, HasTol,` * `class KMeansModel(JavaModel, _KMeansParams, GeneralJavaMLWritable, JavaMLReadable,` * `class KMeans(JavaEstimator, _KMeansParams, JavaMLWritable, JavaMLReadable):` * `class _BisectingKMeansParams(HasMaxIter, HasFeaturesCol, HasSeed, HasPredictionCol,` * `class BisectingKMeansModel(JavaModel, _BisectingKMeansParams, JavaMLWritable, JavaMLReadable,` * `class BisectingKMeans(JavaEstimator, _BisectingKMeansParams, JavaMLWritable, JavaMLReadable):` * `class _LDAParams(HasMaxIter, HasFeaturesCol, HasSeed, HasCheckpointInterval):` * `class LDAModel(JavaModel, _LDAParams):` * `class LDA(JavaEstimator, _LDAParams, JavaMLReadable, JavaMLWritable):` * `class _PowerIterationClusteringParams(HasMaxIter, HasWeightCol):` * `class PowerIterationClustering(_PowerIterationClusteringParams, JavaParams, JavaMLReadable,` * `case class PostgreCastStringToBoolean(child: Expression)`
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