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.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.

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

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

    :: Experimental :: (Scala-specific) Create a table based on the dataset in a data source, a schema and a set of options. Then, returns the corresponding DataFrame.

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

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

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

  5. abstract def createTable(tableName: String, path: String, source: String): DataFrame

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

  6. abstract def createTable(tableName: String, path: String): DataFrame

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

  7. 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

  8. 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

  9. 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 unqualified name of the temporary view to be dropped.

    returns

    true if the view is dropped successfully, false otherwise.

    Since

    2.1.0

  10. 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 temporary view to be dropped.

    returns

    true if the view is dropped successfully, false otherwise.

    Since

    2.0.0

  11. 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.

    dbName

    is a name that designates a database.

    functionName

    is an unqualified name that designates a function.

    Since

    2.1.0

  12. 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.

    functionName

    is either a qualified or unqualified name that designates a function. If no database identifier is provided, it refers to a function in the current database.

    Since

    2.1.0

  13. 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

  14. 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.

    dbName

    is a name that designates a database.

    functionName

    is an unqualified name that designates a function in the specified database

    Annotations
    @throws( ... )
    Since

    2.1.0

  15. 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. This throws an AnalysisException when the function cannot be found.

    functionName

    is either a qualified or unqualified name that designates a function. If no database identifier is provided, it refers to a temporary function or a function in the current database.

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

    2.1.0

  16. 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

  17. 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. This throws an AnalysisException when no Table can be found.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a table/view in the current database.

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

    2.1.0

  18. 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.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.

    Since

    2.0.0

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

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

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

    dbName

    is a name that designates a database.

    tableName

    is an unqualified name that designates a table/view.

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

    2.0.0

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

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

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

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.

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

    2.0.0

  21. 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

  22. 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

  23. 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

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

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    Returns a list of tables/views in the specified database.

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

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

    2.0.0

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

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    Returns a list of tables/views in the current database.

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

    Since

    2.0.0

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

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

    Recovers all the partitions in the directory of a table and update the catalog. Only works with a partitioned table, and not a view.

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Since

    2.1.1

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

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    Invalidates and refreshes all the cached data (and the associated metadata) for any Dataset that contains the given data source path.

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

    Since

    2.0.0

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

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

    Invalidates and refreshes all the cached data and 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.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.

    Since

    2.0.0

  29. 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

  30. 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.

    dbName

    is a name that designates a database.

    tableName

    is an unqualified name that designates a table.

    Since

    2.1.0

  31. 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.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a table/view in the current database.

    Since

    2.1.0

  32. 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.

    tableName

    is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.

    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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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

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

    Permalink

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

    :: Experimental :: Creates a table based on the dataset in a data source and a set of options. Then, returns the corresponding DataFrame.

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @Experimental() @Evolving()
    Since

    2.2.0

  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

  21. final def wait(arg0: Long): Unit

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    @throws( ... )

Deprecated Value Members

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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

    Permalink

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

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

    tableName

    is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.

    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use createTable instead.

    Since

    2.0.0

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