Depends on the data types you use. Do you have in jsonlines format? Then the amount of memory plays much less a role.
Otherwise if it is one large object or array I would not recommend it. > Am 18.06.2020 um 15:12 schrieb Chetan Khatri <chetan.opensou...@gmail.com>: > > > Hi Spark Users, > > I have a 50GB of JSON file, I would like to read and persist at HDFS so it > can be taken into next transformation. I am trying to read as > spark.read.json(path) but this is giving Out of memory error on driver. > Obviously, I can't afford having 50 GB on driver memory. In general, what is > the best practice to read large JSON file like 50 GB? > > Thanks --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
