arun

@mgierdal what OS are you running your Jupyter notebook on? As a side note, currently ‘view()’ is fully supported only Linux and OSX. If you could try using another environment,...

@mgierdal You could also try just returning the result of the graph traversal : g.v().tag("from").out("follows").tag("to").all() and then visualize it on cogdb.io > visualization tab.

> Using Colab notebooks or visualization tab is out of question, unfortunately. While I wasn't to "shoot tanks" with cogdb, I intended to put it to small scale, but serious...

> Out of curiosity, what are the main issues preventing from using it under actual Windows? @mgierdal There is nothing preventing it from running on Windows but currently there is...

I think these can be added. `save_triples` and `save_edge_list` should be straight forward because inherently they are both ways to represent graphs. But `save_csv` would need a bit more thought.

#36 #37

is this only happening for this one test `test.test_torque2.TorqueTest2.test_torque_load_csv` ? Could you try commenting out this test https://github.com/arun1729/cog/blob/fc64c19cc92ab9a0fe91d8c19a3d947236782a1a/test/test_torque2.py#L37 and run the tests again?

Currently there is one level of caching at the storage layer that is enabled by default: https://github.com/arun1729/cog/blob/fc64c19cc92ab9a0fe91d8c19a3d947236782a1a/cog/torque.py#L64 It is not a "full" in-memory cache since it only speeds up the...