rx_spark_cache_data

Artigo
07/15/2019

Usage

revoscalepy.rx_spark_cache_data(in_data: revoscalepy.datasource.RxDataSource.RxDataSource,
    cache: bool)

Description

Use this function to set the cache flag to control whether data objects should be cached in Spark memory system, applicable for RxXdfData, RxHiveData, RxParquetData, RxOrcData and RxSparkDataFrame.

Arguments

in_data

A data source that can be RxXdfData, RxHiveData, RxParquetData, RxOrcData or RxSparkDataFrame. RxTextData is currently not supported.

cache

Bool value controlling whether the data should be cached or not. If TRUE the data will be cached in the Spark memory system after the first use for performance enhancement.

Returns

Data object with new cache flag.

Example

from revoscalepy import RxHiveData, rx_spark_connect, rx_spark_cache_data
hive_data = RxHiveData(table = "mytable")

# The cache flag of hiveData is now set to TRUE.
hive_data = rx_spark_cache_data(hive_data, True)

# set cache value to False
hive_data = rx_spark_cache_data(hive_data, False)

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