Does calling sqlContext.cacheTable("oldTableName") remove the cached contents of the oldTable

[Sahil Sareen]

Spark 1.5.2

dfOld.registerTempTable("oldTableName")
sqlContext.cacheTable("oldTableName")
// ....
// do something
// ....
dfNew.registerTempTable("oldTableName")
sqlContext.cacheTable("oldTableName")


Now when I use the "oldTableName" table I do get the latest contents
from dfNew but do the contents of dfOld get removed from the memory?

Or is the right usage to do this:
dfOld.registerTempTable("oldTableName")
sqlContext.cacheTable("oldTableName")
// ....
// do something
// ....
dfNew.registerTempTable("oldTableName")
sqlContext.unCacheTable("oldTableName") <========== unCache the old
contents first
sqlContext.cacheTable("oldTableName")

-Sahil

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