* Install nmslib in the Dataflow container so its suitable for running
the index creation job.
* Use command not args in the job specs.
* Dockerfile.dataflow should install nmslib so that we can use that Docker
image to create the index.
* build.jsonnet should tag images as latest. We will use this to use
the latest images as a layer cache to speed up builds.
* Set logging level to info for start_search_server.py and
create_search_index.py
* Create search index pod keeps was getting evicted because node runs out of
memory
* Add a new node pool consisting of n1-standard-32 nodes to the demo cluster.
These have 120 GB of RAM compared to 30GB in our default pool of n1-standard-8
* Set requests and limits on the creator search index pod.
* Move all the config for the search-index-creator job into the
search-index-creator.jsonnet file. We need to customize the memory resources
so there's not much value to try to sharing config with other components.
Jeremy Lewi