rxSparkListData, rxSparkRemoveData {RevoScaleR}: Manage Cached Data in Spark

Artigo
07/15/2019

Description

Use these functions to manage the objects cached in the Spark memory system. These functions are only applicable when using RxSpark compute context.

Usage

  rxSparkListData(showDescription=TRUE,
      computeContext = rxGetOption("computeContext"))

  rxSparkRemoveData(list,
      computeContext = rxGetOption("computeContext"))

Arguments

`list`

list of cached objects need to be deleted.

`showDescription`

logical indicating whether or not to print out the detail to console.

`computeContext`

RxSpark compute context object.

Value

List of all objects cached in Spark memory system for rxSparkListData.

No return values for rxSparkRemoveData.

Examples


 ## Not run:

cc <- rxSparkConnect()

colInfo = list( DayOfWeek = list(type = "factor"))
df <- RxParquetData(file = "/tmp/AirlineDemoSmall.parquet", colInfo = colInfo)

### example for rxSparkListData

## No object in list, because no algorithm has been run 
rxSparkListData()

rxLogit((ArrDelay>0) ~ CRSDepTime + DayOfWeek, data = df)

## After the first run, a Spark data object is added into the list
rxSparkListData()

### example for rxSparkRemoveData

## remove an object
rxSparkRemoveData(df)

## remove all cached objs
rxSparkRemoveData(rxSparkListData())

rxSparkDisconnect(cc)
## End(Not run)

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