org.apache.spark.sql.sources

JdbcExtendedUtils

object JdbcExtendedUtils extends Logging

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  1. final def !=(arg0: AnyRef): Boolean

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  3. final def ##(): Int

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  6. val ALLOW_EXISTING_PROPERTY: String

  7. val BASETABLE_PROPERTY: String

  8. val DBTABLE_PROPERTY: String

  9. val SCHEMA_PROPERTY: String

  10. val TABLETYPE_PROPERTY: String

  11. final def asInstanceOf[T0]: T0

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  12. def clone(): AnyRef

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  13. def createSchema(schemaName: String, conn: Connection, dialect: JdbcDialect): Unit

  14. def dropTable(conn: Connection, tableName: String, dialect: JdbcDialect, context: SQLContext, ifExists: Boolean): Unit

  15. final def eq(arg0: AnyRef): Boolean

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  16. def equals(arg0: Any): Boolean

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  17. def executeUpdate(sql: String, conn: Connection): Unit

  18. def externalResolvedDataSource(sqlContext: SQLContext, schemaString: String, provider: String, mode: SaveMode, options: Map[String, String]): ResolvedDataSource

    Create a ResolvedDataSource for an external DataSource schema DDL string specification.

  19. def finalize(): Unit

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  20. final def getClass(): Class[_]

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  21. def hashCode(): Int

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

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

  23. final def isInstanceOf[T0]: Boolean

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  24. def isTraceEnabled(): Boolean

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  25. def log: Logger

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  26. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  27. def logDebug(msg: ⇒ String): Unit

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  28. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  29. def logError(msg: ⇒ String): Unit

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  30. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  31. def logInfo(msg: ⇒ String): Unit

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  32. def logName: String

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  33. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  34. def logTrace(msg: ⇒ String): Unit

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  35. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  36. def logWarning(msg: ⇒ String): Unit

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  37. final def ne(arg0: AnyRef): Boolean

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  38. final def notify(): Unit

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  39. final def notifyAll(): Unit

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  40. def savePartition(getConnection: () ⇒ Connection, table: String, iterator: Iterator[InternalRow], rddSchema: StructType, dialect: JdbcDialect, batchSize: Int, upsert: Boolean): Unit

    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.

  41. def saveTable(df: DataFrame, table: String, connProperties: ConnectionProperties, upsert: Boolean = false): Unit

    Saves the RDD to the database in a single transaction.

  42. def schemaString(schema: StructType, dialect: JdbcDialect): String

    Compute the schema string for this RDD.

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

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  44. def tableExists(table: String, conn: Connection, dialect: JdbcDialect, context: SQLContext): Boolean

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

  45. def tableExistsInMetaData(table: String, conn: Connection, dialect: JdbcDialect): Boolean

  46. def toString(): String

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  47. def truncateTable(conn: Connection, tableName: String, dialect: JdbcDialect): Unit

  48. final def wait(): Unit

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

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

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