HadoopDBConnector

Abstract Value Members

abstract def context: SparkFlowContext

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
protected[java.lang]
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@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

Attributes
protected[java.lang]
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Annotations
@throws( classOf[java.lang.Throwable] )
def forceRecreateTables: Boolean

Force drop+create of tables even if update is called (necessary in cases of schema change)
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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def isTraceEnabled(): Boolean

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

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

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

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protected
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Logging
def logError(msg: ⇒ String): Unit

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

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protected
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Logging
def logInfo(msg: ⇒ String): Unit

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protected
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Logging
def logName: String

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

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protected
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Logging
def logTrace(msg: ⇒ String): Unit

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

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protected
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Logging
def logWarning(msg: ⇒ String): Unit

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protected
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Logging
final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

Definition Classes
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def recreateTableFromParquetDDLs(tableName: String, path: String, partitionColumns: Seq[String] = Seq.empty): Seq[String]

Recreate a table from parquet files, inferring the schema from the parquet.
Recreate a table from parquet files, inferring the schema from the parquet. Table is dropped if it exists and then recreated.
tableName
name of the table
path
path of the table location
partitionColumns
optional list of partition columns
returns
the sql statements which need executing to perform the table recreation
def submitAtomicResultlessQueries(ddls: Seq[String]): Unit

Definition Classes
DBConnector
def submitResultlessQuery(ddl: String): Unit

Submit a query that returns no results (i.e.
Submit a query that returns no results (i.e. schema change operations) Exceptions will be thrown if the query fails
ddl
SQL ddl as a string

Definition Classes
DBConnector
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
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def updateTableParquetLocationDDLs(tableName: String, path: String, partitionColumns: Seq[String] = Seq.empty): Seq[String]

Update the data location of a parquet table.
Update the data location of a parquet table. If the table is partitioned, it will be dropped if it exists and recreated. If the table is not partitioned and forceRecreateTables is true, it will be dropped if it exists and recreated. If the table is not partitioned and forceRecreateTables is false, then the data location will be changed without dropping the table. The table will be created if it does not already exist.
tableName
name of the table
path
path of the table location
partitionColumns
optional list of partition columns
returns
the sql statements which need executing to perform the table update
final def wait(): Unit

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

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

Definition Classes
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@throws( ... )

Related Docs: object HadoopDBConnector | package metastore

trait HadoopDBConnector extends DBConnector

Abstract Value Members

abstract def context: SparkFlowContext

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def forceRecreateTables: Boolean

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

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 recreateTableFromParquetDDLs(tableName: String, path: String, partitionColumns: Seq[String] = Seq.empty): Seq[String]

def submitAtomicResultlessQueries(ddls: Seq[String]): Unit

def submitResultlessQuery(ddl: String): Unit

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

def toString(): String

def updateTableParquetLocationDDLs(tableName: String, path: String, partitionColumns: Seq[String] = Seq.empty): Seq[String]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from DBConnector

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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