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hi welcome back letamp;#39;s talk about water marking we know that in a structured streaming application there is an unbounded input table we perform our processing on top of it using a query and we produce the result in the process spark maintains the state based on the aggregation you perform letamp;#39;s say if you are performing a simple aggregation of a word count your word is say apple and it has come up once orange has come up once after a while letamp;#39;s say after 10 minutes or 20 minutes apple comes up again and your count of apple becomes two so this count has become two because the previous estate was one and apple has come up once again so there is maintenance of the state now the point is how long would you like to maintain the state the longer you maintain the state the higher memory requirement it will have and eventually you need to design a mechanism you need to put a barrier in place that a data which is very old you are not going to process it further now how o
