Hi, As each partition key can hold up to 2 Billion rows, even then it is an anti-pattern to have such huge data set for one partition key in our case it is 300k rows only, but when trying to query for one particular key we are getting timeout exception. If I use Spark to get the 300k rows for a particular key does it solve the problem of timeouts and distribute the data across the spark nodes or will it still throw timeout exceptions. Can you please help me with the best practice to retrieve the data for the key with 300k rows. Any help is highly appreciated.
Regards Goutham.
