Hello Elastic Experts,
I am reading article about out of memory during aggregation, for example, below articles, I do not quite understand why there is out of memory issue if we do filter + term aggregation? My feeling is after filter, the sub data set is small and term aggregation on that data set should not use too much memory. Looks like the out of memory is caused by Elastic Search is loading unnecessary data into memory during term aggregation -- if so what are the unnecessary data and how doc value helps here? Thanks.
thanks in advance,