Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  val TABLE_COMPLETIONS_KEY: String
5.  val alpha: String
6.  final def asInstanceOf[T0]: T0

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7.  def clone(): AnyRef

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   protected[lang]

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   @throws( ... ) @native()

8.  def createPrettyMetadataDataframe(input: DataFrame)(implicit spark: SparkSession, logger: Logger): DataFrame
9.  final def eq(arg0: AnyRef): Boolean

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10.  def equals(arg0: Any): Boolean

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11.  def finalize(): Unit

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    protected[lang]

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    @throws( classOf[java.lang.Throwable] )

12.  def flattenSchema(schema: StructType, parents: Seq[String] = Seq()): Seq[Seq[String]]
13.  final def getClass(): Class[_]

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    @native()

14.  def getCompletions(pos: Int, length: Int, commandLineArgs: Map[String, ConfigValue], confDatasetLabels: Boolean, confExtendedErrors: Boolean, confLeftAlign: Boolean, confShowLog: Boolean, confMonospace: Boolean, confNumRows: Int, confTruncate: Int, confStreaming: Boolean, confStreamingDuration: Int)(implicit spark: SparkSession, arcContext: ARCContext): Completion
15.  def getHelp(): String
16.  def getLogger(appender: Option[InMemoryLoggerAppender] = None)(implicit spark: SparkSession): Logger
17.  def getPropertiesFromFile(filename: String): Map[String, String]

    Load properties present in the given file.

18.  def getVersion()(implicit spark: SparkSession, arcContext: ARCContext): String
19.  def hashCode(): Int

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    @native()

20.  def injectParameters(sql: String, params: Map[String, String]): String
21.  final def isInstanceOf[T0]: Boolean

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22.  val jupyterCompletions: Seq[Completer]
23.  var lifecyclePluginCompletions: List[Completer]
24.  final def ne(arg0: AnyRef): Boolean

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25.  val notAllowed: Regex
26.  final def notify(): Unit

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    @native()

27.  final def notifyAll(): Unit

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    @native()

28.  val objectMapper: ObjectMapper
29.  var pipelinePluginCompletions: List[Completer]
30.  def randStr(n: Int): String
31.  def renderHTML(df: DataFrame, inMemoryLoggerAppender: Option[InMemoryLoggerAppender], stage: Option[PipelineStage], numRows: Int, maxNumRows: Int, truncate: Int, monospace: Boolean, leftAlign: Boolean, datasetLabels: Boolean, confShowLog: Boolean): String
32.  def renderResult(spark: SparkSession, outputHandler: Option[OutputHandler], stage: Option[PipelineStage], df: DataFrame, inMemoryLoggerAppender: InMemoryLoggerAppender, numRows: Int, maxNumRows: Int, truncate: Int, monospace: Boolean, leftAlign: Boolean, datasetLabels: Boolean, streamingDuration: Int, confStreamingFrequency: Int, confShowLog: Boolean): ExecuteResult
33.  def renderText(text: String, inMemoryLoggerAppender: InMemoryLoggerAppender, confShowLog: Boolean): String
34.  val secureRandom: SecureRandom
35.  val size: Int
36.  final def synchronized[T0](arg0: ⇒ T0): T0

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37.  def toString(): String

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38.  def trimExceptCRLF(str: String): String

    Implements the same logic as JDK java.lang.String#trim by removing leading and trailing non-printable characters less or equal to ' ' (SPACE) but preserves natural line delimiters according to java.util.Properties load method.

    Implements the same logic as JDK java.lang.String#trim by removing leading and trailing non-printable characters less or equal to ' ' (SPACE) but preserves natural line delimiters according to java.util.Properties load method. The natural line delimiters are removed by JDK during load. Therefore any remaining ones have been specifically provided and escaped by the user, and must not be ignored

    returns

    the trimmed value of str

39.  final def wait(): Unit

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    @throws( ... )

40.  final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

41.  final def wait(arg0: Long): Unit

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    @throws( ... ) @native()