JdbcUtils

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def createConnectionFactory(options: JDBCOptions): () ⇒ Connection

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

Creates a table with a given schema.
def dropTable(conn: Connection, table: String): Unit

Drops a table from the JDBC database.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getCommonJDBCType(dt: DataType): Option[JdbcType]

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

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.
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
def insertStatement(conn: Connection, table: String, rddSchema: StructType, dialect: JdbcDialect): PreparedStatement

Returns a PreparedStatement that inserts a row into table via conn.
def isCascadingTruncateTable(url: String): Option[Boolean]
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def resultSetToRows(resultSet: ResultSet, schema: StructType): Iterator[Row]

Convert a ResultSet into an iterator of Catalyst Rows.
def savePartition(getConnection: () ⇒ Connection, table: String, iterator: Iterator[Row], rddSchema: StructType, nullTypes: Array[Int], batchSize: Int, dialect: JdbcDialect, isolationLevel: Int): Iterator[Byte]

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.
def saveTable(df: DataFrame, url: String, table: String, options: JDBCOptions): Unit

Saves the RDD to the database in a single transaction.
def schemaString(schema: StructType, url: String): String

Compute the schema string for this RDD.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def tableExists(conn: Connection, url: String, table: String): Boolean

Returns true if the table already exists in the JDBC database.
def toString(): String

Definition Classes
AnyRef → Any
def truncateTable(conn: Connection, table: String): Unit

Truncates a table from the JDBC database.
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package jdbc

object JdbcUtils extends internal.Logging

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def createConnectionFactory(options: JDBCOptions): () ⇒ Connection

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

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

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

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

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

def hashCode(): Int

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def log: Logger

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

def logDebug(msg: ⇒ String): Unit

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

def logError(msg: ⇒ String): Unit

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

def logInfo(msg: ⇒ String): Unit

def logName: String

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

def logTrace(msg: ⇒ String): Unit

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

def logWarning(msg: ⇒ String): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

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

def saveTable(df: DataFrame, url: String, table: String, options: JDBCOptions): Unit

def schemaString(schema: StructType, url: String): String

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

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

def toString(): String

def truncateTable(conn: Connection, table: String): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from internal.Logging

Inherited from AnyRef

Inherited from Any

Ungrouped