BaseColumnFormatRelation

abstract def getColocatedTable: Option[String]

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _relationInfoAndRegion: (RelationInfo, Option[LocalRegion])

var _schema: StructType

final def asInstanceOf[T0]: T0

def buildRowBufferRDD(partitionEvaluator: () ⇒ Array[Partition], requiredColumns: Array[String], filters: Array[Expression], useResultSet: Boolean, projection: Array[Int]): RDD[Any]

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

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

def canEqual(that: Any): Boolean

def clone(): AnyRef

final val connFactory: () ⇒ Connection

final def connProperties: ConnectionProperties

val connectionType: ConnectionType.Value

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(conn: Connection, tableStr: String, tableName: String): Unit

def createTable(mode: SaveMode): Unit

val ddlExtensionForShadowTable: String

var delayRollover: Boolean

def destroy(ifExists: Boolean): Unit

Destroy and cleanup this relation.

final def dialect: JdbcDialect

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.

val externalStore: ExternalStore

def finalize(): Unit

def flushRowBuffer(): Unit

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

final def getClass(): Class[_]

def getColumnBatchParams: (Int, Int, String)

def getColumnBatchStatistics(schema: Seq[AttributeReference]): PartitionStatistics

def getCompressionCodec: String

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 key columns of the column 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 isPartitioned: 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

def numBuckets: Int

val origOptions: CaseInsensitiveMutableHashMap[String]

def partitionColumns: Seq[String]

Get the partitioning columns for the table, if any.

val partitioningColumns: Seq[String]

val provider: String

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

lazy val rowInsertStr: String

def scanTable(tableName: String, requiredColumns: Array[String], filters: Array[Expression], _ignore: () ⇒ Int): (RDD[Any], Array[Int])

def schema: StructType

val schemaExtensions: String

lazy 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.

lazy val tableName: String

def toString(): String

def truncate(): Unit

Truncate the table represented by this relation.

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

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

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

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

val userSchema: StructType

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.

def withTableWriteLock(f: () ⇒ SparkPlan): SparkPlan

def withoutUserSchema: Boolean