ParquetDataCommitter

Instance Constructors

new ParquetDataCommitter(outputBaseFolder: String, snapshotFolder: Option[String] = None, cleanupStrategy: Option[CleanUpStrategy[FileStatus]] = None, hadoopDBConnector: Option[HadoopDBConnector] = None)

outputBaseFolder
folder under which final labels will store its data. Ex: baseFolder/label_1/
snapshotFolder
optional name of the snapshot folder that will be used by all of the labels committed via this committer. It needs to be a full name and must not be the same as in any of the previous snapshots for any of the commit managed labels. Ex: baseFolder/label_1/snapshot_folder=20181128 baseFolder/label_1/snapshot_folder=20181129 baseFolder/label_2/snapshot_folder=20181128 baseFolder/label_2/snapshot_folder=20181129
cleanupStrategy
optional function that takes the list of available snapshots and returns list of snapshots to remove
hadoopDBConnector
optional connector to the DB.

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
val cleanupStrategy: Option[CleanUpStrategy[FileStatus]]

optional function that takes the list of available snapshots and returns list of snapshots to remove
def clone(): AnyRef

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

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def finish(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

Adds actions that are preformed when all data is fully committed/moved into permanent storage.
Adds actions that are preformed when all data is fully committed/moved into permanent storage. Can be used to do cleanup operations.
commitName
logical name of the commit
commitUUID
A UUID generated at runtime unique to a commit name
labels
labels that were committed
flow
data flow to which to add finalise actions
returns
data flow with finalise actions

Attributes
protected[com.coxautodata.waimak.dataflow]
Definition Classes
ParquetDataCommitter → DataCommitter
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
val hadoopDBConnector: Option[HadoopDBConnector]

optional connector to the DB.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def logAndReturn[A](a: A, msg: String, level: Level): A

Takes a value of type A and a msg to log, returning a and logging the message at the desired level
Takes a value of type A and a msg to log, returning a and logging the message at the desired level
returns
a

Definition Classes
Logging
def logAndReturn[A](a: A, message: (A) ⇒ String, level: Level): A

Takes a value of type A and a function message from A to String, logs the value of invoking message(a) at the level described by the level parameter
Takes a value of type A and a function message from A to String, logs the value of invoking message(a) at the level described by the level parameter
returns
a
Definition Classes
Logging
Example:
1. logAndReturn(1, (num: Int) => s"number: $num", Info) // In the log we would see a log corresponding to "number 1"
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
def moveToPermanentStorageFlow(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

Adds actions to the flow that move data to the permanent storage, simulating a wave commit
Adds actions to the flow that move data to the permanent storage, simulating a wave commit
commitName
logical name of the commit
commitUUID
A UUID generated at runtime unique to a commit name
labels
labels to move
flow
data flow to which move actions are added to
returns
data flow with move actions

Attributes
protected[com.coxautodata.waimak.dataflow]
Definition Classes
ParquetDataCommitter → DataCommitter
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val outputBaseFolder: String

folder under which final labels will store its data.
folder under which final labels will store its data. Ex: baseFolder/label_1/
val snapshotFolder: Option[String]

optional name of the snapshot folder that will be used by all of the labels committed via this committer.
optional name of the snapshot folder that will be used by all of the labels committed via this committer. It needs to be a full name and must not be the same as in any of the previous snapshots for any of the commit managed labels. Ex: baseFolder/label_1/snapshot_folder=20181128 baseFolder/label_1/snapshot_folder=20181129 baseFolder/label_2/snapshot_folder=20181128 baseFolder/label_2/snapshot_folder=20181129
def stageToTempFlow(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

Adds cache actions to the flow.
Adds cache actions to the flow.
commitName
logical name of the commit
commitUUID
A UUID generated at runtime unique to a commit name
labels
labels to cache
flow
data flow to which the caching actions are added to
returns
data flow with caching actions

Attributes
protected[com.coxautodata.waimak.dataflow]
Definition Classes
ParquetDataCommitter → DataCommitter
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def validate(flow: SparkDataFlow, commitName: String, entries: Seq[CommitEntry]): Try[Unit]

Validates that: 1) data flow is a decedent of the SparkDataFlow 2) data flow has temp folder 3) no committed label has an existing snapshot folder same as new one 4) cleanup can only take place when snapshot folder is defined
Validates that: 1) data flow is a decedent of the SparkDataFlow 2) data flow has temp folder 3) no committed label has an existing snapshot folder same as new one 4) cleanup can only take place when snapshot folder is defined
flow
data flow to validate

Attributes
protected[com.coxautodata.waimak.dataflow]
Definition Classes
ParquetDataCommitter → DataCommitter
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( ... )
def withCleanupStrategy(strategy: CleanUpStrategy[FileStatus]): ParquetDataCommitter

Set a cleanup strategy for this Parquet Committer
def withDateBasedSnapshotCleanup(folderPrefix: String, dateFormat: String, numberOfFoldersToKeep: Int): ParquetDataCommitter

Configures a default implementation of a cleanup strategy based on dates encoded into snapshot folder name.
def withHadoopDBConnector(con: HadoopDBConnector): ParquetDataCommitter

Sets new DB connector
def withSnapshotFolder(folder: String): ParquetDataCommitter

Set a snapshot folder for this Parquet Committer

Related Docs: object ParquetDataCommitter | package spark

case class ParquetDataCommitter(outputBaseFolder: String, snapshotFolder: Option[String] = None, cleanupStrategy: Option[CleanUpStrategy[FileStatus]] = None, hadoopDBConnector: Option[HadoopDBConnector] = None) extends DataCommitter[SparkDataFlow] with Logging with Product with Serializable

Instance Constructors

new ParquetDataCommitter(outputBaseFolder: String, snapshotFolder: Option[String] = None, cleanupStrategy: Option[CleanUpStrategy[FileStatus]] = None, hadoopDBConnector: Option[HadoopDBConnector] = None)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val cleanupStrategy: Option[CleanUpStrategy[FileStatus]]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

def finish(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

final def getClass(): Class[_]

val hadoopDBConnector: Option[HadoopDBConnector]

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def logAndReturn[A](a: A, msg: String, level: Level): A

def logAndReturn[A](a: A, message: (A) ⇒ String, level: Level): A

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

def moveToPermanentStorageFlow(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val outputBaseFolder: String

val snapshotFolder: Option[String]

def stageToTempFlow(commitName: String, commitUUID: UUID, labels: Seq[CommitEntry], flow: SparkDataFlow): SparkDataFlow

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

def validate(flow: SparkDataFlow, commitName: String, entries: Seq[CommitEntry]): Try[Unit]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withCleanupStrategy(strategy: CleanUpStrategy[FileStatus]): ParquetDataCommitter

def withDateBasedSnapshotCleanup(folderPrefix: String, dateFormat: String, numberOfFoldersToKeep: Int): ParquetDataCommitter

def withHadoopDBConnector(con: HadoopDBConnector): ParquetDataCommitter

def withSnapshotFolder(folder: String): ParquetDataCommitter

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Logging

Inherited from DataCommitter[SparkDataFlow]

Inherited from AnyRef

Inherited from Any

Ungrouped