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Usage
revoscalepy.rx_spark_remove_data(remove_list,
compute_context: revoscalepy.computecontext.RxComputeContext.RxComputeContext = None)
Description
Use these functions to manage the objects cached in the Spark memory system. These functions are only applicable when using RxSpark compute context.
Arguments
remove_list
Cached object or a list of cached objects need to be deleted.
compute_context
RxSpark compute context object.
Returns
No return objs for rxSparkRemoveData.
Example
from revoscalepy import RxOrcData, rx_spark_connect, rx_spark_disconnect, rx_spark_list_data, rx_spark_cache_data, rx_spark_remove_data, rx_lin_mod
cc=rx_spark_connect()
col_info = {"DayOfWeek": {"type": "factor"}}
df = RxOrcData(file = "/share/sample_data/AirlineDemoSmallOrc", column_info = col_info)
df = rx_spark_cache_data(df, True)
# After the first run, a Spark data object is added into the list
rx_lin_mod("ArrDelay ~ DayOfWeek", data = df)
rx_spark_remove_data(df)
rx_spark_list_data(True)
rx_spark_disconnect(cc)