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object JDBCRDD extends Logging with Serializable

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  1. final def !=(arg0: Any): Boolean
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  9. final def getClass(): Class[_]
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  10. def getQueryOutputSchema(query: String, options: JDBCOptions, dialect: JdbcDialect): StructType
  11. def hashCode(): Int
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  12. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  15. def isTraceEnabled(): Boolean
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  16. def log: Logger
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  17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  18. def logDebug(msg: ⇒ String): Unit
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  19. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  20. def logError(msg: ⇒ String): Unit
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  21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  22. def logInfo(msg: ⇒ String): Unit
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  23. def logName: String
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  24. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  25. def logTrace(msg: ⇒ String): Unit
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  26. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  27. def logWarning(msg: ⇒ String): Unit
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  28. final def ne(arg0: AnyRef): Boolean
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  29. final def notify(): Unit
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  30. final def notifyAll(): Unit
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  31. def resolveTable(options: JDBCOptions): StructType

    Takes a (schema, table) specification and returns the table's Catalyst schema.

    Takes a (schema, table) specification and returns the table's Catalyst schema.

    options

    - JDBC options that contains url, table and other information.

    returns

    A StructType giving the table's Catalyst schema.

    Exceptions thrown

    java.sql.SQLException if the table contains an unsupported type.

  32. def scanTable(sc: SparkContext, schema: StructType, requiredColumns: Array[String], predicates: Array[Predicate], parts: Array[Partition], options: JDBCOptions, outputSchema: Option[StructType] = None, groupByColumns: Option[Array[String]] = None, sample: Option[TableSampleInfo] = None, limit: Int = 0, sortOrders: Array[SortOrder] = Array.empty[SortOrder]): RDD[InternalRow]

    Build and return JDBCRDD from the given information.

    Build and return JDBCRDD from the given information.

    sc

    - Your SparkContext.

    schema

    - The Catalyst schema of the underlying database table.

    requiredColumns

    - The names of the columns or aggregate columns to SELECT.

    predicates

    - The predicates to include in all WHERE clauses.

    parts

    - An array of JDBCPartitions specifying partition ids and per-partition WHERE clauses.

    options

    - JDBC options that contains url, table and other information.

    outputSchema

    - The schema of the columns or aggregate columns to SELECT.

    groupByColumns

    - The pushed down group by columns.

    sample

    - The pushed down tableSample.

    limit

    - The pushed down limit. If the value is 0, it means no limit or limit is not pushed down.

    sortOrders

    - The sort orders cooperates with limit to realize top N.

    returns

    An RDD representing "SELECT requiredColumns FROM fqTable".

  33. final def synchronized[T0](arg0: ⇒ T0): T0
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  34. def toString(): String
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  35. final def wait(): Unit
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  36. final def wait(arg0: Long, arg1: Int): Unit
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  37. final def wait(arg0: Long): Unit
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Inherited from Serializable

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