CatalogImpl

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def cacheTable(tableName: String): Unit

Caches the specified table or view in-memory.

def clearCache(): Unit

Removes all cached tables or views from the in-memory cache.

def clone(): AnyRef

def createTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame

:: Experimental :: (Scala-specific) Creates a table based on the dataset in a data source, a schema and a set of options.

def createTable(tableName: String, source: String, options: Map[String, String]): DataFrame

:: Experimental :: (Scala-specific) Creates a table based on the dataset in a data source and a set of options.

def createTable(tableName: String, path: String, source: String): DataFrame

:: Experimental :: Creates a table from the given path and returns the corresponding DataFrame.

def createTable(tableName: String, path: String): DataFrame

:: Experimental :: Creates a table from the given path and returns the corresponding DataFrame.

def createTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame

:: Experimental :: Create a table based on the dataset in a data source, a schema and a set of options.

def createTable(tableName: String, source: String, options: Map[String, String]): DataFrame

:: Experimental :: Creates a table based on the dataset in a data source and a set of options.

def currentDatabase: String

Returns the current default database in this session.

def databaseExists(dbName: String): Boolean

Checks if the database with the specified name exists.

def dropGlobalTempView(viewName: String): Boolean

Drops the global temporary view with the given view name in the catalog.

def dropTempView(viewName: String): Boolean

Drops the local temporary view with the given view name in the catalog.

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def functionExists(dbName: String, functionName: String): Boolean

Checks if the function with the specified name exists in the specified database.

def functionExists(functionName: String): Boolean

Checks if the function with the specified name exists.

final def getClass(): Class[_]

def getDatabase(dbName: String): Database

Gets the database with the specified name.

def getFunction(dbName: String, functionName: String): Function

Gets the function with the specified name.

def getFunction(functionName: String): Function

Gets the function with the specified name.

def getTable(dbName: String, tableName: String): Table

Gets the table or view with the specified name in the specified database.

def getTable(tableName: String): Table

Gets the table or view with the specified name.

def hashCode(): Int

def isCached(qName: Dataset[_]): Boolean

Returns true if the Dataset is currently cached in-memory.

def isCached(tableName: String): Boolean

Returns true if the table or view is currently cached in-memory.

final def isInstanceOf[T0]: Boolean

def listColumns(dbName: String, tableName: String): Dataset[catalog.Column]

Returns a list of columns for the given table/view or temporary view in the specified database.

def listColumns(tableName: String): Dataset[catalog.Column]

Returns a list of columns for the given table/view or temporary view.

def listDatabases(): Dataset[Database]

Returns a list of databases available across all sessions.

def listFunctions(dbName: String): Dataset[Function]

Returns a list of functions registered in the specified database.

def listFunctions(): Dataset[Function]

Returns a list of functions registered in the current database.

def listTables(dbName: String): Dataset[Table]

Returns a list of tables in the specified database.

def listTables(): Dataset[Table]

Returns a list of tables in the current database.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def recoverPartitions(tableName: String): Unit

Recovers all the partitions in the directory of a table and update the catalog.

def refreshByPath(resourcePath: String): Unit

Refreshes the cache entry and the associated metadata for all Dataset (if any), that contain the given data source path.

def refreshTable(tableName: String): Unit

Invalidates and refreshes all the cached data and metadata of the given table or view.

def setCurrentDatabase(dbName: String): Unit

Sets the current default database in this session.

final def synchronized[T0](arg0: ⇒ T0): T0

def tableExists(dbName: String, tableName: String): Boolean

Checks if the table or view with the specified name exists in the specified database.

def tableExists(tableName: String): Boolean

Checks if the table or view with the specified name exists.

def toString(): String

def uncacheTable(tableName: String): Unit

Removes the specified table or view from the in-memory cache.

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def createExternalTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame

(Scala-specific) Create a table from the given path based on a data source, a schema and a set of options.

def createExternalTable(tableName: String, source: String, schema: StructType, options: Map[String, String]): DataFrame

:: Experimental :: Create a table from the given path based on a data source, a schema and a set of options.

def createExternalTable(tableName: String, source: String, options: Map[String, String]): DataFrame

(Scala-specific) Creates a table from the given path based on a data source and a set of options.

def createExternalTable(tableName: String, source: String, options: Map[String, String]): DataFrame

Creates a table from the given path based on a data source and a set of options.

def createExternalTable(tableName: String, path: String, source: String): DataFrame

Creates a table from the given path based on a data source and returns the corresponding DataFrame.

def createExternalTable(tableName: String, path: String): DataFrame

Creates a table from the given path and returns the corresponding DataFrame.