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RDD Operation Actions
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in this video we are discussing our DB
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operation that is actions we know that
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on our DD we can carry out two different
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operations one is the transformations
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and the one is the actions the basic
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difference between transformation and
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action is that in case of transformation
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it will take data from one or DD and
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produces one or more than one rdd's that
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means in case of transformation outcome
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will be output will be one or more than
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one rdd's but in case of actions it will
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take data from our DD but it will
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produce nan or DD as output it produces
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the separate result but that is non
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oddity
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though these actions are our DD
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operations so let us go for some more
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detailing about this concept so what is
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actions in our DD the spark action
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returns the final result of our duty
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computations so it will return the final
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result but that result is in the non or
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DD format and it uses lineage graph to
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load data into the original or DT so
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actions produces non or DD values though
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it is one of the Arditi operations and
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that is very important concept that this
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action will produce non or DD values as
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the outcome and though it is one of the
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valid of operations on this our DD so
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some action examples our first method
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taked method counter method collect
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method and so on so this is known as the
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our DD operation it is known as action
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thanks for watching this video
#Data Management
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