Class

org.apache.spark.sql.catalog

Catalog

Related Doc: package catalog

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abstract class Catalog extends AnyRef

Catalog interface for Spark. To access this, use SparkSession.catalog.

Annotations
@Stable()
Source
Catalog.scala
Since

2.0.0

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Instance Constructors

  1. new Catalog()

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Abstract Value Members

  1. abstract def cacheTable(tableName: String): Unit

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    Caches the specified table in-memory.

    Caches the specified table in-memory.

    Since

    2.0.0

  2. abstract def clearCache(): Unit

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    Removes all cached tables from the in-memory cache.

    Removes all cached tables from the in-memory cache.

    Since

    2.0.0

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

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

    :: Experimental :: (Scala-specific) Create an external table from the given path based on a data source, a schema and a set of options. Then, returns the corresponding DataFrame.

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

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

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

    :: Experimental :: Create an external table from the given path based on a data source, a schema and a set of options. Then, returns the corresponding DataFrame.

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

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

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

    :: Experimental :: (Scala-specific) Creates an external table from the given path based on a data source and a set of options. Then, returns the corresponding DataFrame.

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

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

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

    :: Experimental :: Creates an external table from the given path based on a data source and a set of options. Then, returns the corresponding DataFrame.

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

  7. abstract def createExternalTable(tableName: String, path: String, source: String): DataFrame

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

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

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

  8. abstract def createExternalTable(tableName: String, path: String): DataFrame

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

    :: Experimental :: Creates an external table from the given path and returns the corresponding DataFrame. It will use the default data source configured by spark.sql.sources.default.

    Annotations
    @Experimental() @Evolving()
    Since

    2.0.0

  9. abstract def currentDatabase: String

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    Returns the current default database in this session.

    Returns the current default database in this session.

    Since

    2.0.0

  10. abstract def databaseExists(dbName: String): Boolean

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    Check if the database with the specified name exists.

    Check if the database with the specified name exists.

    Since

    2.1.0

  11. abstract def dropGlobalTempView(viewName: String): Boolean

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

    Drops the global temporary view with the given view name in the catalog. If the view has been cached before, then it will also be uncached.

    Global temporary view is cross-session. Its lifetime is the lifetime of the Spark application, i.e. it will be automatically dropped when the application terminates. It's tied to a system preserved database _global_temp, and we must use the qualified name to refer a global temp view, e.g. SELECT * FROM _global_temp.view1.

    viewName

    the name of the view to be dropped.

    returns

    true if the view is dropped successfully, false otherwise.

    Since

    2.1.0

  12. abstract def dropTempView(viewName: String): Boolean

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

    Drops the local temporary view with the given view name in the catalog. If the view has been cached before, then it will also be uncached.

    Local temporary view is session-scoped. Its lifetime is the lifetime of the session that created it, i.e. it will be automatically dropped when the session terminates. It's not tied to any databases, i.e. we can't use db1.view1 to reference a local temporary view.

    Note that, the return type of this method was Unit in Spark 2.0, but changed to Boolean in Spark 2.1.

    viewName

    the name of the view to be dropped.

    returns

    true if the view is dropped successfully, false otherwise.

    Since

    2.0.0

  13. abstract def functionExists(dbName: String, functionName: String): Boolean

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

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

    Since

    2.1.0

  14. abstract def functionExists(functionName: String): Boolean

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    Check if the function with the specified name exists.

    Check if the function with the specified name exists. This can either be a temporary function or a function in the current database.

    Since

    2.1.0

  15. abstract def getDatabase(dbName: String): Database

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    Get the database with the specified name.

    Get the database with the specified name. This throws an AnalysisException when the database cannot be found.

    Annotations
    @throws( "database does not exist" )
    Since

    2.1.0

  16. abstract def getFunction(dbName: String, functionName: String): Function

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    Get the function with the specified name.

    Get the function with the specified name. This throws an AnalysisException when the function cannot be found.

    Annotations
    @throws( ... )
    Since

    2.1.0

  17. abstract def getFunction(functionName: String): Function

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    Get the function with the specified name.

    Get the function with the specified name. This function can be a temporary function or a function in the current database. This throws an AnalysisException when the function cannot be found.

    Annotations
    @throws( "function does not exist" )
    Since

    2.1.0

  18. abstract def getTable(dbName: String, tableName: String): Table

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

    Get the table or view with the specified name in the specified database. This throws an AnalysisException when no Table can be found.

    Annotations
    @throws( "database or table does not exist" )
    Since

    2.1.0

  19. abstract def getTable(tableName: String): Table

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    Get the table or view with the specified name.

    Get the table or view with the specified name. This table can be a temporary view or a table/view in the current database. This throws an AnalysisException when no Table can be found.

    Annotations
    @throws( "table does not exist" )
    Since

    2.1.0

  20. abstract def isCached(tableName: String): Boolean

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

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

    Since

    2.0.0

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

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    Returns a list of columns for the given table in the specified database.

    Returns a list of columns for the given table in the specified database.

    Annotations
    @throws( "database or table does not exist" )
    Since

    2.0.0

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

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    Returns a list of columns for the given table in the current database or the given temporary table.

    Returns a list of columns for the given table in the current database or the given temporary table.

    Annotations
    @throws( "table does not exist" )
    Since

    2.0.0

  23. abstract def listDatabases(): Dataset[Database]

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    Returns a list of databases available across all sessions.

    Returns a list of databases available across all sessions.

    Since

    2.0.0

  24. abstract def listFunctions(dbName: String): Dataset[Function]

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    Returns a list of functions registered in the specified database.

    Returns a list of functions registered in the specified database. This includes all temporary functions

    Annotations
    @throws( "database does not exist" )
    Since

    2.0.0

  25. abstract def listFunctions(): Dataset[Function]

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    Returns a list of functions registered in the current database.

    Returns a list of functions registered in the current database. This includes all temporary functions

    Since

    2.0.0

  26. abstract def listTables(dbName: String): Dataset[Table]

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    Returns a list of tables in the specified database.

    Returns a list of tables in the specified database. This includes all temporary tables.

    Annotations
    @throws( "database does not exist" )
    Since

    2.0.0

  27. abstract def listTables(): Dataset[Table]

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    Returns a list of tables in the current database.

    Returns a list of tables in the current database. This includes all temporary tables.

    Since

    2.0.0

  28. abstract def recoverPartitions(tableName: String): Unit

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

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

    Since

    2.1.1

  29. abstract def refreshByPath(path: String): Unit

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    Invalidate and refresh all the cached data (and the associated metadata) for any dataframe that contains the given data source path.

    Invalidate and refresh all the cached data (and the associated metadata) for any dataframe that contains the given data source path. Path matching is by prefix, i.e. "/" would invalidate everything that is cached.

    Since

    2.0.0

  30. abstract def refreshTable(tableName: String): Unit

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    Invalidate and refresh all the cached metadata of the given table.

    Invalidate and refresh all the cached metadata of the given table. For performance reasons, Spark SQL or the external data source library it uses might cache certain metadata about a table, such as the location of blocks. When those change outside of Spark SQL, users should call this function to invalidate the cache.

    If this table is cached as an InMemoryRelation, drop the original cached version and make the new version cached lazily.

    Since

    2.0.0

  31. abstract def setCurrentDatabase(dbName: String): Unit

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    Sets the current default database in this session.

    Sets the current default database in this session.

    Since

    2.0.0

  32. abstract def tableExists(dbName: String, tableName: String): Boolean

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

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

    Since

    2.1.0

  33. abstract def tableExists(tableName: String): Boolean

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

    Check if the table or view with the specified name exists. This can either be a temporary view or a table/view in the current database.

    Since

    2.1.0

  34. abstract def uncacheTable(tableName: String): Unit

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    Removes the specified table from the in-memory cache.

    Removes the specified table from the in-memory cache.

    Since

    2.0.0

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  13. final def notify(): Unit

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