Object/Class

org.apache.spark.rdd

JdbcRDD

Related Docs: class JdbcRDD | package rdd

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object JdbcRDD extends Serializable

Source
JdbcRDD.scala
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Type Members

  1. trait ConnectionFactory extends Serializable

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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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  6. def create(sc: JavaSparkContext, connectionFactory: ConnectionFactory, sql: String, lowerBound: Long, upperBound: Long, numPartitions: Int): JavaRDD[Array[AnyRef]]

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    Create an RDD that executes an SQL query on a JDBC connection and reads results.

    Create an RDD that executes an SQL query on a JDBC connection and reads results. Each row is converted into a Object array. For usage example, see test case JavaAPISuite.testJavaJdbcRDD.

    connectionFactory

    a factory that returns an open Connection. The RDD takes care of closing the connection.

    sql

    the text of the query. The query must contain two ? placeholders for parameters used to partition the results. E.g. "select title, author from books where ? <= id and id <= ?"

    lowerBound

    the minimum value of the first placeholder

    upperBound

    the maximum value of the second placeholder The lower and upper bounds are inclusive.

    numPartitions

    the number of partitions. Given a lowerBound of 1, an upperBound of 20, and a numPartitions of 2, the query would be executed twice, once with (1, 10) and once with (11, 20)

  7. def create[T](sc: JavaSparkContext, connectionFactory: ConnectionFactory, sql: String, lowerBound: Long, upperBound: Long, numPartitions: Int, mapRow: Function[ResultSet, T]): JavaRDD[T]

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    Create an RDD that executes an SQL query on a JDBC connection and reads results.

    Create an RDD that executes an SQL query on a JDBC connection and reads results. For usage example, see test case JavaAPISuite.testJavaJdbcRDD.

    connectionFactory

    a factory that returns an open Connection. The RDD takes care of closing the connection.

    sql

    the text of the query. The query must contain two ? placeholders for parameters used to partition the results. E.g. "select title, author from books where ? <= id and id <= ?"

    lowerBound

    the minimum value of the first placeholder

    upperBound

    the maximum value of the second placeholder The lower and upper bounds are inclusive.

    numPartitions

    the number of partitions. Given a lowerBound of 1, an upperBound of 20, and a numPartitions of 2, the query would be executed twice, once with (1, 10) and once with (11, 20)

    mapRow

    a function from a ResultSet to a single row of the desired result type(s). This should only call getInt, getString, etc; the RDD takes care of calling next. The default maps a ResultSet to an array of Object.

  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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  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. def resultSetToObjectArray(rs: ResultSet): Array[AnyRef]

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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