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package root
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root
package org
Definition Classes
root
package apache
Definition Classes
org
package spark
Core Spark functionality.
Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.
In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.
Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.
Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.
Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.
Definition Classes
apache
package sql
Allows the execution of relational queries, including those expressed in SQL using Spark.
Allows the execution of relational queries, including those expressed in SQL using Spark.
Definition Classes
spark
package streaming
Definition Classes
sql
DataStreamReader
DataStreamWriter
GroupState
GroupStateTimeout
MapState
OutputMode
SinkProgress
SourceProgress
StateOperatorProgress
StreamingQuery
StreamingQueryException
StreamingQueryListener
StreamingQueryManager
StreamingQueryProgress
StreamingQueryStatus
TTLConfig
TestGroupState
TimeMode
Trigger

org.apache.spark.sql.streaming

TTLConfig

case class TTLConfig(ttlDuration: Duration) extends Product with Serializable

TTL Configuration for state variable. State values will not be returned past ttlDuration, and will be eventually removed from the state store. Any state update resets the ttl to current processing time plus ttlDuration.

ttlDuration: time to live duration for state stored in the state variable.

Source: TTLConfig.scala

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new TTLConfig(ttlDuration: Duration)
ttlDuration
time to live duration for state stored in the state variable.

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val ttlDuration: Duration
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Deprecated
(Since version 9)

Packages

TTLConfig

case class TTLConfig(ttlDuration: Duration) extends Product with Serializable

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TTLConfig

case class TTLConfig(ttlDuration: Duration) extends Product with Serializable

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TTLConfig