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org.apache.spark.sql.execution.datasources.jdbc

JdbcUtils

Related Doc: package jdbc

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object JdbcUtils extends Logging

Util functions for JDBC tables.

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  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 createConnection(url: String, connectionProperties: Properties): Connection

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    Establishes a JDBC connection.

  7. def dropTable(conn: Connection, table: String): Unit

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    Drops a table from the JDBC database.

  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. def insertStatement(conn: Connection, table: String, rddSchema: StructType): PreparedStatement

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    Returns a PreparedStatement that inserts a row into table via conn.

  14. final def isInstanceOf[T0]: Boolean

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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 savePartition(getConnection: () ⇒ Connection, table: String, iterator: Iterator[Row], rddSchema: StructType, nullTypes: Array[Int]): Iterator[Byte]

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    Saves a partition of a DataFrame to the JDBC database.

    Saves a partition of a DataFrame to the JDBC database. This is done in a single database transaction in order to avoid repeatedly inserting data as much as possible.

    It is still theoretically possible for rows in a DataFrame to be inserted into the database more than once if a stage somehow fails after the commit occurs but before the stage can return successfully.

    This is not a closure inside saveTable() because apparently cosmetic implementation changes elsewhere might easily render such a closure non-Serializable. Instead, we explicitly close over all variables that are used.

  32. def saveTable(df: DataFrame, url: String, table: String, properties: Properties = new Properties()): Unit

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    Saves the RDD to the database in a single transaction.

  33. def schemaString(df: DataFrame, url: String): String

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    Compute the schema string for this RDD.

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

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  35. def tableExists(conn: Connection, table: String): Boolean

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    Returns true if the table already exists in the JDBC database.

  36. def toString(): String

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  37. final def wait(): Unit

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

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

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