SparkQA commented on issue #26132: [SPARK-29387][SQL] Support `*` and `/` operators for intervals URL: https://github.com/apache/spark/pull/26132#issuecomment-543903720 **[Test build #112287 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112287/testReport)** for PR 26132 at commit [`8ad4001`](https://github.com/apache/spark/commit/8ad4001647cb453c483f647f8a7c4799043f53b8). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * ` s\"Failed to get main class in JAR with error '$` * ` error(\"No main class set in JAR; please specify one with --class.\")` * `abstract class EventLogFileReader(` * `class SingleFileEventLogFileReader(` * `class RollingEventLogFilesFileReader(` * `abstract class EventLogFileWriter(` * `class SingleEventLogFileWriter(` * `class RollingEventLogFilesWriter(` * ` class DriverEndpoint extends IsolatedRpcEndpoint with Logging ` * `case class ShuffleBlockBatchId(` * ` require(probability != null, \"probability of each class can not be null\")` * `class _LinearSVCParams(_JavaClassifierParams, HasRegParam, HasMaxIter, HasFitIntercept, HasTol,` * `class LinearSVC(JavaClassifier, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class LinearSVCModel(JavaClassificationModel, _LinearSVCParams, JavaMLWritable, JavaMLReadable):` * `class _LogisticRegressionParams(_JavaProbabilisticClassifierParams, HasRegParam,` * `class LogisticRegression(JavaProbabilisticClassifier, _LogisticRegressionParams, JavaMLWritable,` * `class LogisticRegressionModel(JavaProbabilisticClassificationModel, _LogisticRegressionParams,` * `class _NaiveBayesParams(_JavaPredictorParams, HasWeightCol):` * `class NaiveBayes(JavaProbabilisticClassifier, _NaiveBayesParams, HasThresholds, HasWeightCol,` * `class NaiveBayesModel(JavaProbabilisticClassificationModel, _NaiveBayesParams, JavaMLWritable,` * `class _MultilayerPerceptronParams(_JavaProbabilisticClassifierParams, HasSeed, HasMaxIter,` * `class MultilayerPerceptronClassifier(JavaProbabilisticClassifier, _MultilayerPerceptronParams,` * `class _LinearRegressionParams(_JavaPredictorParams, HasRegParam, HasElasticNetParam, HasMaxIter,` * `class LinearRegression(JavaPredictor, _LinearRegressionParams, JavaMLWritable, JavaMLReadable):` * `class LinearRegressionModel(JavaPredictionModel, _LinearRegressionParams, GeneralJavaMLWritable,` * `class _IsotonicRegressionParams(HasFeaturesCol, HasLabelCol, HasPredictionCol, HasWeightCol):` * `class IsotonicRegression(JavaEstimator, _IsotonicRegressionParams, HasWeightCol,` * `class IsotonicRegressionModel(JavaModel, _IsotonicRegressionParams, JavaMLWritable,` * `class _GeneralizedLinearRegressionParams(_JavaPredictorParams, HasFitIntercept, HasMaxIter,` * `class GeneralizedLinearRegression(JavaPredictor, _GeneralizedLinearRegressionParams,` * `class GeneralizedLinearRegressionModel(JavaPredictionModel, _GeneralizedLinearRegressionParams,` * `case class BitwiseCount(child: Expression) extends UnaryExpression with ExpectsInputTypes ` * `abstract class ExtractIntervalPart(` * `case class ExtractIntervalMillenniums(child: Expression)` * `case class ExtractIntervalCenturies(child: Expression)` * `case class ExtractIntervalDecades(child: Expression)` * `case class ExtractIntervalYears(child: Expression)` * `case class ExtractIntervalQuarters(child: Expression)` * `case class ExtractIntervalMonths(child: Expression)` * `case class ExtractIntervalDays(child: Expression)` * `case class ExtractIntervalHours(child: Expression)` * `case class ExtractIntervalMinutes(child: Expression)` * `case class ExtractIntervalSeconds(child: Expression)` * `case class ExtractIntervalMilliseconds(child: Expression)` * `case class ExtractIntervalMicroseconds(child: Expression)` * `case class ExtractIntervalEpoch(child: Expression)` * `case class AnalyzeTableStatement(` * `case class AnalyzeColumnStatement(`
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