Spark’s parallelism is primarily connected to partitions, which represent logical chunks of a large, distributed dataset. Spark splits data into partitions, then executes operations in parallel, ...

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and ...