object JdbcRDD extends Serializable
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- JdbcRDD.scala
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- trait ConnectionFactory extends Serializable
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def
create(sc: JavaSparkContext, connectionFactory: ConnectionFactory, sql: String, lowerBound: Long, upperBound: Long, numPartitions: Int): JavaRDD[Array[AnyRef]]
Create an RDD that executes a SQL query on a JDBC connection and reads results.
Create an RDD that executes a 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. For example,
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)
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def
create[T](sc: JavaSparkContext, connectionFactory: ConnectionFactory, sql: String, lowerBound: Long, upperBound: Long, numPartitions: Int, mapRow: Function[ResultSet, T]): JavaRDD[T]
Create an RDD that executes a SQL query on a JDBC connection and reads results.
Create an RDD that executes a 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. For example,
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.
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- def resultSetToObjectArray(rs: ResultSet): Array[AnyRef]
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