Reuse job servers when possible in (spark|flink)_runner.py.

If multiple Beam pipelines are run on Spark or Flink from the same Python script, currently a new Java job server will be created for each pipeline. This can waste lots of resources (i.e. memory), since job servers are often functionally equivalent and therefore reusable.