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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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  5. def clone(): AnyRef

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  6. def createConnectionFactory(options: JDBCOptions): () ⇒ 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.

    options

    - JDBC options that contains url, table and other information.

  7. def createTable(schema: StructType, url: String, table: String, createTableOptions: String, conn: Connection): Unit

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    Creates a table with a given schema.

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

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    Drops a table from the JDBC database.

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

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  13. 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

  14. def getSchema(resultSet: ResultSet, dialect: JdbcDialect): StructType

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    Takes a ResultSet and returns its Catalyst schema.

    Takes a ResultSet and returns its Catalyst schema.

    returns

    A StructType giving the Catalyst schema.

    Exceptions thrown

    SQLException if the schema contains an unsupported type.

  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. def isCascadingTruncateTable(url: String): Option[Boolean]

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  20. def isTraceEnabled(): Boolean

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

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

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

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  28. def logName: String

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

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

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

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  35. final def notifyAll(): Unit

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  36. def resultSetToRows(resultSet: ResultSet, schema: StructType): Iterator[Row]

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    Convert a ResultSet into an iterator of Catalyst Rows.

  37. def savePartition(getConnection: () ⇒ Connection, table: String, iterator: Iterator[Row], rddSchema: StructType, nullTypes: Array[Int], batchSize: Int, dialect: JdbcDialect, isolationLevel: 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 (unless isolation level is "NONE") 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, options: JDBCOptions): Unit

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    Saves the RDD to the database in a single transaction.

  39. def schemaString(schema: StructType, 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. def truncateTable(conn: Connection, table: String): Unit

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    Truncates a table from the JDBC database.

  44. final def wait(): Unit

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