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Databricks Scala Spark API - org.apache.spark.sql.SparkSession

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2. By Inheritance

1. SparkSession
2. Logging
3. Closeable
4. AutoCloseable
5. Serializable
6. Serializable
7. AnyRef
8. Any

1.  final def !=(arg0: Any): Boolean
2.  final def ##(): Int
3.  final def ==(arg0: Any): Boolean
4.  final def asInstanceOf[T0]: T0
5.  def baseRelationToDataFrame(baseRelation: BaseRelation): DataFrame
6.  lazy val catalog: Catalog
7.  def clone(): AnyRef
8.  def close(): Unit
9.  lazy val conf: RuntimeConfig
10.  def createDataFrame(data: List[_], beanClass: Class[_]): DataFrame
11.  def createDataFrame(rdd: JavaRDD[_], beanClass: Class[_]): DataFrame
12.  def createDataFrame(rdd: RDD[_], beanClass: Class[_]): DataFrame
13.  def createDataFrame(rows: List[Row], schema: StructType): DataFrame
14.  def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType): DataFrame
15.  def createDataFrame(rowRDD: RDD[Row], schema: StructType): DataFrame
16.  def createDataFrame[A <: Product](data: Seq[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): DataFrame
17.  def createDataFrame[A <: Product](rdd: RDD[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): DataFrame
18.  def createDataset[T](data: List[T])(implicit arg0: Encoder[T]): Dataset[T]
19.  def createDataset[T](data: RDD[T])(implicit arg0: Encoder[T]): Dataset[T]
20.  def createDataset[T](data: Seq[T])(implicit arg0: Encoder[T]): Dataset[T]
21.  lazy val emptyDataFrame: DataFrame
22.  def emptyDataset[T](implicit arg0: Encoder[T]): Dataset[T]
23.  final def eq(arg0: AnyRef): Boolean
24.  def equals(arg0: Any): Boolean
25.  def executeCommand(runner: String, command: String, options: Map[String, String]): DataFrame
26.  def experimental: ExperimentalMethods
27.  def finalize(): Unit
28.  final def getClass(): Class[_]
29.  def hashCode(): Int
30.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
31.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
32.  final def isInstanceOf[T0]: Boolean
33.  def isTraceEnabled(): Boolean
34.  def listenerManager: ExecutionListenerManager
35.  def log: Logger
36.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
37.  def logDebug(msg: ⇒ String): Unit
38.  def logError(msg: ⇒ String, throwable: Throwable): Unit
39.  def logError(msg: ⇒ String): Unit
40.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
41.  def logInfo(msg: ⇒ String): Unit
42.  def logName: String
43.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
44.  def logTrace(msg: ⇒ String): Unit
45.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
46.  def logWarning(msg: ⇒ String): Unit
47.  final def ne(arg0: AnyRef): Boolean
48.  def newSession(): SparkSession
49.  final def notify(): Unit
50.  final def notifyAll(): Unit
51.  def parseDataType(dataTypeString: String): DataType
52.  def range(start: Long, end: Long, step: Long, numPartitions: Int): Dataset[Long]
53.  def range(start: Long, end: Long, step: Long): Dataset[Long]
54.  def range(start: Long, end: Long): Dataset[Long]
55.  def range(end: Long): Dataset[Long]
56.  def read: DataFrameReader
57.  def readStream: DataStreamReader
58.  lazy val sessionState: SessionState
59.  lazy val sharedState: SharedState
60.  val sparkContext: SparkContext
61.  def sql(sqlText: String): DataFrame
62.  val sqlContext: SQLContext
63.  def stop(): Unit
64.  def streams: StreamingQueryManager
65.  final def synchronized[T0](arg0: ⇒ T0): T0
66.  def table(tableName: String): DataFrame
67.  def time[T](f: ⇒ T): T
68.  def toString(): String
69.  def udf: UDFRegistration
70.  def version: String
71.  final def wait(): Unit
72.  final def wait(arg0: Long, arg1: Int): Unit
73.  final def wait(arg0: Long): Unit
74.  object implicits extends SQLImplicits with Serializable

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