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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. val JDBC_BATCH_FETCH_SIZE: String

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  5. val JDBC_BATCH_INSERT_SIZE: String

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. def createConnectionFactory(url: String, properties: Properties): () ⇒ Connection

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    Returns a factory for creating connections to the given JDBC URL.

    Returns a factory for creating connections to the given JDBC URL.

    url

    the JDBC url to connect to.

    properties

    JDBC connection properties.

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

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    Drops a table from the JDBC database.

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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

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  14. def getCommonJDBCType(dt: DataType): Option[JdbcType]

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    Retrieve standard jdbc types.

    Retrieve standard jdbc types.

    dt

    The datatype (e.g. org.apache.spark.sql.types.StringType)

    returns

    The default JdbcType for this DataType

  15. def hashCode(): Int

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  16. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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

  18. final def isDebugEnabled: Boolean

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  19. final def isInfoEnabled: Boolean

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  20. final def isInstanceOf[T0]: Boolean

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  21. final def isTraceEnabled: Boolean

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  22. def log: Logger

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

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

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

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

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

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

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  29. def logName: String

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

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

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

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

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

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  35. final def notify(): Unit

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  36. final def notifyAll(): Unit

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  37. def savePartition(getConnection: () ⇒ Connection, table: String, iterator: Iterator[Row], rddSchema: StructType, nullTypes: Array[Int], batchSize: Int, dialect: JdbcDialect): 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.

  38. def saveTable(df: DataFrame, url: String, table: String, properties: Properties): Unit

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    Saves the RDD to the database in a single transaction.

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

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    Compute the schema string for this RDD.

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

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

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

  42. def toString(): String

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  43. final def wait(): Unit

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

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

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