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Showing content from https://api-docs.databricks.com/scala/spark/latest/org/apache/spark/sql/SQLContext.html below:

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

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1. Grouped
2. Alphabetic
3. By Inheritance

1. SQLContext
2. Serializable
3. Serializable
4. Logging
5. AnyRef
6. 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.  def cacheTable(tableName: String): Unit
7.  def clearCache(): Unit
8.  def clone(): AnyRef
9.  def createDataFrame(data: List[_], beanClass: Class[_]): DataFrame
10.  def createDataFrame(rdd: JavaRDD[_], beanClass: Class[_]): DataFrame
11.  def createDataFrame(rdd: RDD[_], beanClass: Class[_]): DataFrame
12.  def createDataFrame(rows: List[Row], schema: StructType): DataFrame
13.  def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType): DataFrame
14.  def createDataFrame(rowRDD: RDD[Row], schema: StructType): DataFrame
15.  def createDataFrame[A <: Product](data: Seq[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): DataFrame
16.  def createDataFrame[A <: Product](rdd: RDD[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): DataFrame
17.  def createDataset[T](data: List[T])(implicit arg0: Encoder[T]): Dataset[T]
18.  def createDataset[T](data: RDD[T])(implicit arg0: Encoder[T]): Dataset[T]
19.  def createDataset[T](data: Seq[T])(implicit arg0: Encoder[T]): Dataset[T]
20.  def dropTempTable(tableName: String): Unit
21.  def emptyDataFrame: DataFrame
22.  final def eq(arg0: AnyRef): Boolean
23.  def equals(arg0: Any): Boolean
24.  def experimental: ExperimentalMethods
25.  def finalize(): Unit
26.  def getAllConfs: Map[String, String]
27.  final def getClass(): Class[_]
28.  def getConf(key: String, defaultValue: String): String
29.  def getConf(key: String): String
30.  def hashCode(): Int
31.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
32.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
33.  def isCached(tableName: String): Boolean
34.  final def isInstanceOf[T0]: Boolean
35.  def isTraceEnabled(): Boolean
36.  def listenerManager: ExecutionListenerManager
37.  def log: Logger
38.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
39.  def logDebug(msg: ⇒ String): Unit
40.  def logError(msg: ⇒ String, throwable: Throwable): Unit
41.  def logError(msg: ⇒ String): Unit
42.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
43.  def logInfo(msg: ⇒ String): Unit
44.  def logName: String
45.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
46.  def logTrace(msg: ⇒ String): Unit
47.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
48.  def logWarning(msg: ⇒ String): Unit
49.  final def ne(arg0: AnyRef): Boolean
50.  def newSession(): SQLContext
51.  final def notify(): Unit
52.  final def notifyAll(): Unit
53.  def range(start: Long, end: Long, step: Long, numPartitions: Int): DataFrame
54.  def range(start: Long, end: Long, step: Long): DataFrame
55.  def range(start: Long, end: Long): DataFrame
56.  def range(end: Long): DataFrame
57.  def read: DataFrameReader
58.  def readStream: DataStreamReader
59.  def setConf(key: String, value: String): Unit
60.  def setConf(props: Properties): Unit
61.  def sparkContext: SparkContext
62.  val sparkSession: SparkSession
63.  def sql(sqlText: String): DataFrame
64.  def streams: StreamingQueryManager
65.  final def synchronized[T0](arg0: ⇒ T0): T0
66.  def table(tableName: String): DataFrame
67.  def tableNames(databaseName: String): Array[String]
68.  def tableNames(): Array[String]
69.  def tables(databaseName: String): DataFrame
70.  def tables(): DataFrame
71.  def toString(): String
72.  def udf: UDFRegistration
73.  def uncacheTable(tableName: String): Unit
74.  final def wait(): Unit
75.  final def wait(arg0: Long, arg1: Int): Unit
76.  final def wait(arg0: Long): Unit
77.  object implicits extends SQLImplicits with Serializable

1.  def applySchema(rdd: JavaRDD[_], beanClass: Class[_]): DataFrame
2.  def applySchema(rdd: RDD[_], beanClass: Class[_]): DataFrame
3.  def applySchema(rowRDD: JavaRDD[Row], schema: StructType): DataFrame
4.  def applySchema(rowRDD: RDD[Row], schema: StructType): DataFrame
5.  def createExternalTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame
6.  def createExternalTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame
7.  def createExternalTable(tableName: String, source: String, options: Map[String, String]): DataFrame
8.  def createExternalTable(tableName: String, source: String, options: Map[String, String]): DataFrame
9.  def createExternalTable(tableName: String, path: String, source: String): DataFrame
10.  def createExternalTable(tableName: String, path: String): DataFrame
11.  def jdbc(url: String, table: String, theParts: Array[String]): DataFrame
12.  def jdbc(url: String, table: String, columnName: String, lowerBound: Long, upperBound: Long, numPartitions: Int): DataFrame
13.  def jdbc(url: String, table: String): DataFrame
14.  def jsonFile(path: String, samplingRatio: Double): DataFrame
15.  def jsonFile(path: String, schema: StructType): DataFrame
16.  def jsonFile(path: String): DataFrame
17.  def jsonRDD(json: JavaRDD[String], samplingRatio: Double): DataFrame
18.  def jsonRDD(json: RDD[String], samplingRatio: Double): DataFrame
19.  def jsonRDD(json: JavaRDD[String], schema: StructType): DataFrame
20.  def jsonRDD(json: RDD[String], schema: StructType): DataFrame
21.  def jsonRDD(json: JavaRDD[String]): DataFrame
22.  def jsonRDD(json: RDD[String]): DataFrame
23.  def load(source: String, schema: StructType, options: Map[String, String]): DataFrame
24.  def load(source: String, schema: StructType, options: Map[String, String]): DataFrame
25.  def load(source: String, options: Map[String, String]): DataFrame
26.  def load(source: String, options: Map[String, String]): DataFrame
27.  def load(path: String, source: String): DataFrame
28.  def load(path: String): DataFrame
29.  def parquetFile(paths: String*): DataFrame

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