org.apache.spark.sql.streaming

ProcessingTime

object ProcessingTime extends Serializable

Used to create ProcessingTime triggers for StreamingQuerys.

Annotations
@Evolving() @deprecated
Deprecated

(Since version 2.2.0) use Trigger.ProcessingTime(intervalMs)

Since

2.0.0

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Deprecated Value Members

  1. def apply(interval: Duration): ProcessingTime

    Create a ProcessingTime.

    Create a ProcessingTime. If interval is 0, the query will run as fast as possible.

    Example:

    import scala.concurrent.duration._
    df.writeStream.trigger(ProcessingTime(10.seconds))
    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use Trigger.ProcessingTime(interval)

    Since

    2.0.0

  2. def apply(interval: String): ProcessingTime

    Create a ProcessingTime.

    Create a ProcessingTime. If interval is 0, the query will run as fast as possible.

    Example:

    df.writeStream.trigger(ProcessingTime("10 seconds"))
    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use Trigger.ProcessingTime(interval)

    Since

    2.0.0

  3. def create(interval: Long, unit: TimeUnit): ProcessingTime

    Create a ProcessingTime.

    Create a ProcessingTime. If interval is 0, the query will run as fast as possible.

    Example:

    import java.util.concurrent.TimeUnit
    df.writeStream.trigger(ProcessingTime.create(10, TimeUnit.SECONDS))
    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use Trigger.ProcessingTime(interval, unit)

    Since

    2.0.0

  4. def create(interval: String): ProcessingTime

    Create a ProcessingTime.

    Create a ProcessingTime. If interval is 0, the query will run as fast as possible.

    Example:

    df.writeStream.trigger(ProcessingTime.create("10 seconds"))
    Annotations
    @deprecated
    Deprecated

    (Since version 2.2.0) use Trigger.ProcessingTime(interval)

    Since

    2.0.0

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