JDBCMutableRelation

abstract def isPartitioned: Boolean

abstract def numBuckets: Int

abstract def partitionColumns: Seq[String]

Get the partitioning columns for the table, if any.

abstract def partitionExpressions(relation: LogicalRelation): Seq[Expression]

abstract def unhandledFilters(filters: Seq[Expression]): Seq[Expression]

Returns the list of Expressions that this datasource may not be able to handle.

abstract def withoutUserSchema: Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _relationInfoAndRegion: (RelationInfo, Option[LocalRegion])

var _schema: StructType

def alterTable(tableIdent: TableIdentifier, isAddColumn: Boolean, column: StructField, extensions: String): Unit

Alter's table schema by adding or dropping a provided column.

final def asInstanceOf[T0]: T0

def buildUnsafeScan(requiredColumns: Array[String], filters: Array[Expression]): (RDD[Any], Seq[RDD[InternalRow]])

def canEqual(that: Any): Boolean

def clone(): AnyRef

final val connFactory: () ⇒ Connection

val connProperties: ConnectionProperties

def constructCreateIndexSQL(indexName: String, baseTable: String, indexColumns: Seq[(String, Option[SortDirection])], options: Map[String, String]): String

def createActualTables(conn: Connection): Unit

def createIndex(indexIdent: TableIdentifier, tableIdent: TableIdentifier, indexColumns: Seq[(String, Option[SortDirection])], options: Map[String, String]): Unit

Create an index on a table.

def createTable(mode: SaveMode): Unit

def delete(filterExpr: String): Int

Delete a set of row matching given criteria.

def destroy(ifExists: Boolean): Unit

Destroy and cleanup this relation.

final def dialect: JdbcDialect

val driver: String

def dropIndex(indexIdent: TableIdentifier, tableIdent: TableIdentifier, ifExists: Boolean): Unit

Drops an index on this table

def enableOrDisableRowLevelSecurity(tableIdent: TableIdentifier, enableRowLevelSecurity: Boolean): Unit

final def eq(arg0: AnyRef): Boolean

def equals(that: Any): Boolean

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

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

def finalize(): Unit

def getBasicInsertPlan(relation: LogicalRelation, child: SparkPlan): SparkPlan

final def getClass(): Class[_]

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

Get a spark plan to delete rows the relation.

def getInsertPlan(relation: LogicalRelation, child: SparkPlan): SparkPlan

Get a spark plan for insert.

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.

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

Get primary keys of the row table

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.

def hashCode(): Int

def initializeLogIfNecessary(): Unit

def insert(rows: Seq[Row]): Int

Insert a sequence of rows into the table represented by this relation.

def insert(data: DataFrame, overwrite: Boolean): Unit

final def isDebugEnabled: Boolean

final def isInfoEnabled: Boolean

final def isInstanceOf[T0]: Boolean

def isRowLevelSecurityEnabled: Boolean

final def isRowTable: Boolean

final def isTraceEnabled: Boolean

final var levelFlags: Int

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final var log_: Logger

val mode: SaveMode

final def ne(arg0: AnyRef): Boolean

val 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

final def notify(): Unit

final def notifyAll(): Unit

val origOptions: CaseInsensitiveMutableHashMap[String]

val parts: Array[Partition]

def refreshTableSchema(invalidateCached: Boolean, fetchFromStore: Boolean): Unit

lazy val region: LocalRegion

def relationInfo: RelationInfo

def relationInfoAndRegion: (RelationInfo, Option[LocalRegion])

def resetLogger(): Unit

final def resolvedName: String

final lazy val rowInsertStr: String

def schema: StructType

final lazy val schemaFields: Map[String, StructField]

val schemaName: String

def sizeInBytes: Long

Returns an estimated size of this relation in bytes.

val sqlContext: SQLContext

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

val table: String

Name of this table as stored in catalog.

val tableName: String

def truncate(): Unit

Truncate the table represented by this relation.

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

Returns the list of Filters that this datasource may not be able to handle.

def update(filterExpr: String, newColumnValues: Row, updateColumns: Seq[String]): Int

Update a set of rows matching given criteria.

val userSpecifiedString: String

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

If required inject the key columns in the original relation.