MutableRelation

Abstract Value Members

abstract val connFactory: () ⇒ Connection

Attributes
protected
Definition Classes
NativeTableRelation
abstract def connProperties: ConnectionProperties

Definition Classes
NativeTableRelation
abstract def destroy(ifExists: Boolean): Unit

Destroy and cleanup this relation.
Destroy and cleanup this relation. It may include, but not limited to, dropping the external table that this relation represents.

Definition Classes
DestroyRelation
abstract def dialect: JdbcDialect

Attributes
protected
Definition Classes
NativeTableRelation
abstract def getDeletePlan(relation: LogicalRelation, child: SparkPlan, keyColumns: Seq[Attribute]): SparkPlan

Get a spark plan to delete rows the relation.
Get a spark plan to delete rows the relation. The result of SparkPlan execution should be a count of number of updated rows.
abstract def getKeyColumns: Seq[String]

Get the "key" columns for the table that need to be projected out by UPDATE and DELETE operations for affecting the selected rows.
abstract def getPrimaryKeyColumns(session: SnappySession): Seq[String]

Get the "primary key" of the row table and "key columns" of the column table
abstract def getUpdatePlan(relation: LogicalRelation, child: SparkPlan, updateColumns: Seq[Attribute], updateExpressions: Seq[Expression], keyColumns: Seq[Attribute]): SparkPlan

Get a spark plan to update rows in the relation.
Get a spark plan to update rows in the relation. The result of SparkPlan execution should be a count of number of updated rows.
abstract def isRowTable: Boolean

Definition Classes
NativeTableRelation
abstract def partitionColumns: Seq[String]

Get the partitioning columns for the table, if any.
abstract def schema: StructType

Definition Classes
BaseRelation
abstract def sqlContext: SQLContext

Definition Classes
BaseRelation
abstract val table: String

Name of this table as stored in catalog.
Name of this table as stored in catalog.

Definition Classes
NativeTableRelation
abstract def truncate(): Unit

Truncate the table represented by this relation.
Truncate the table represented by this relation.

Definition Classes
DestroyRelation

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def executeUpdate(sql: String, defaultSchema: String): Int

Execute a DML SQL and return the number of rows affected.
Execute a DML SQL and return the number of rows affected.

Definition Classes
NativeTableRelation
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def needConversion: Boolean

Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
If needConversion is false, buildScan() should return an RDD of InternalRow

Definition Classes
BaseRelation
Since
1.4.0
Note
The internal representation is not stable across releases and thus data sources outside of Spark SQL should leave this as true.
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def sizeInBytes: Long

Returns an estimated size of this relation in bytes.
Returns an estimated size of this relation in bytes. This information is used by the planner to decide when it is safe to broadcast a relation and can be overridden by sources that know the size ahead of time. By default, the system will assume that tables are too large to broadcast. This method will be called multiple times during query planning and thus should not perform expensive operations for each invocation.

Definition Classes
BaseRelation
Since
1.3.0
Note
It is always better to overestimate size than underestimate, because underestimation could lead to execution plans that are suboptimal (i.e. broadcasting a very large table).
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def unhandledFilters(filters: Array[Filter]): Array[Filter]

Returns the list of Filters that this datasource may not be able to handle.
Returns the list of Filters that this datasource may not be able to handle. These returned Filters will be evaluated by Spark SQL after data is output by a scan. By default, this function will return all filters, as it is always safe to double evaluate a Filter. However, specific implementations can override this function to avoid double filtering when they are capable of processing a filter internally.

Definition Classes
BaseRelation
Since
1.6.0
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def withKeyColumns(relation: LogicalRelation, keyColumns: Seq[String]): LogicalRelation

If required inject the key columns in the original relation.

Related Doc: package sources

trait MutableRelation extends BaseRelation with NativeTableRelation

Abstract Value Members

abstract val connFactory: () ⇒ Connection

abstract def connProperties: ConnectionProperties

abstract def destroy(ifExists: Boolean): Unit

abstract def dialect: JdbcDialect

abstract def getDeletePlan(relation: LogicalRelation, child: SparkPlan, keyColumns: Seq[Attribute]): SparkPlan

abstract def getKeyColumns: Seq[String]

abstract def getPrimaryKeyColumns(session: SnappySession): Seq[String]

abstract def getUpdatePlan(relation: LogicalRelation, child: SparkPlan, updateColumns: Seq[Attribute], updateExpressions: Seq[Expression], keyColumns: Seq[Attribute]): SparkPlan

abstract def isRowTable: Boolean

abstract def partitionColumns: Seq[String]

abstract def schema: StructType

abstract def sqlContext: SQLContext

abstract val table: String

abstract def truncate(): Unit

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def executeUpdate(sql: String, defaultSchema: String): Int

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

def needConversion: Boolean

final def notify(): Unit

final def notifyAll(): Unit

def sizeInBytes: Long

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

def toString(): String

def unhandledFilters(filters: Array[Filter]): Array[Filter]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withKeyColumns(relation: LogicalRelation, keyColumns: Seq[String]): LogicalRelation

Inherited from NativeTableRelation

Inherited from DestroyRelation

Inherited from BaseRelation

Inherited from AnyRef

Inherited from Any

Ungrouped