Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://spark.apache.org/docs/latest/api/scala/org/apache/spark/sql/SQLContext.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.sql.SQLContext



1. Grouped
2. Alphabetic
3. By Inheritance

1. SQLContext
2. Serializable
3. Logging
4. AnyRef
5. Any

1. Public
2. Protected

1.  implicit class LogStringContext extends AnyRef

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): Dataset[Row]
6.  def cacheTable(tableName: String): Unit
7.  def clearCache(): Unit
8.  def clone(): AnyRef
9.  def createDataFrame(data: List[_], beanClass: Class[_]): Dataset[Row]
10.  def createDataFrame(rdd: JavaRDD[_], beanClass: Class[_]): Dataset[Row]
11.  def createDataFrame(rdd: RDD[_], beanClass: Class[_]): Dataset[Row]
12.  def createDataFrame(rows: List[Row], schema: StructType): Dataset[Row]
13.  def createDataFrame(rowRDD: JavaRDD[Row], schema: StructType): Dataset[Row]
14.  def createDataFrame(rowRDD: RDD[Row], schema: StructType): Dataset[Row]
15.  def createDataFrame[A <: Product](data: Seq[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): Dataset[Row]
16.  def createDataFrame[A <: Product](rdd: RDD[A])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A]): Dataset[Row]
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: Dataset[Row]
22.  final def eq(arg0: AnyRef): Boolean
23.  def equals(arg0: AnyRef): Boolean
24.  def getAllConfs: Map[String, String]
25.  final def getClass(): Class[_ <: AnyRef]
26.  def getConf(key: String, defaultValue: String): String
27.  def getConf(key: String): String
28.  def hashCode(): Int
29.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
30.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
31.  def isCached(tableName: String): Boolean
32.  final def isInstanceOf[T0]: Boolean
33.  def isTraceEnabled(): Boolean
34.  def log: Logger
35.  def logDebug(msg: => String, throwable: Throwable): Unit
36.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
37.  def logDebug(entry: LogEntry): Unit
38.  def logDebug(msg: => String): Unit
39.  def logError(msg: => String, throwable: Throwable): Unit
40.  def logError(entry: LogEntry, throwable: Throwable): Unit
41.  def logError(entry: LogEntry): Unit
42.  def logError(msg: => String): Unit
43.  def logInfo(msg: => String, throwable: Throwable): Unit
44.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
45.  def logInfo(entry: LogEntry): Unit
46.  def logInfo(msg: => String): Unit
47.  def logName: String
48.  def logTrace(msg: => String, throwable: Throwable): Unit
49.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
50.  def logTrace(entry: LogEntry): Unit
51.  def logTrace(msg: => String): Unit
52.  def logWarning(msg: => String, throwable: Throwable): Unit
53.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
54.  def logWarning(entry: LogEntry): Unit
55.  def logWarning(msg: => String): Unit
56.  final def ne(arg0: AnyRef): Boolean
57.  final def notify(): Unit
58.  final def notifyAll(): Unit
59.  def range(start: Long, end: Long, step: Long, numPartitions: Int): Dataset[Row]
60.  def range(start: Long, end: Long, step: Long): Dataset[Row]
61.  def range(start: Long, end: Long): Dataset[Row]
62.  def range(end: Long): Dataset[Row]
63.  def setConf(key: String, value: String): Unit
64.  def sparkContext: SparkContext
65.  val sparkSession: SparkSession
66.  def sql(sqlText: String): Dataset[Row]
67.  final def synchronized[T0](arg0: => T0): T0
68.  def table(tableName: String): Dataset[Row]
69.  def tableNames(databaseName: String): Array[String]
70.  def tableNames(): Array[String]
71.  def tables(databaseName: String): Dataset[Row]
72.  def tables(): Dataset[Row]
73.  def toString(): String
74.  def uncacheTable(tableName: String): Unit
75.  final def wait(arg0: Long, arg1: Int): Unit
76.  final def wait(arg0: Long): Unit
77.  final def wait(): Unit
78.  def withLogContext(context: Map[String, String])(body: => Unit): Unit

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

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4