22.214.171.124 upgrade: h2o.ls() now produces java.lang.ArrayIndexOutOfBoundsException: 71
Reported as a SW issue too, but seems to be more of a core h2o problem:
After SW was upgraded to 2.3.22 (and a matching h2o backend cluster version),
h2o.ls() started producing following exception on a freshly created session / freshly created
h2o backend cluster
SW (PySpark) connects to a h2o backend cluster.
Here's code that reproduces this issue for the upgraded h2o/ SW
I already sent inforamtion how we start h2o backend cluster in email last week.
Let me know if you have further questions
At this stage, it would be great if you could provide us with the information I asked a bit above.
Sent more information in email earlier today
Let me know if you'd like to jump to a webex if you still can't reproduce it.
Tested on manually started External H2O cluster (1 node) and connected to it from the pysparkling of the correct version. Uploaded a frame and run h2o.ls().
Also killed the client and re-connected with the new client and run h2o.ls(), the output as expected
I have been testing this today and couldn't reproduce. can you reproduce? If yes, code snippet with reproducible code and shell commands used to start H2O & Sparkling Water would help.
At this point, I believe that our h2o.ls() function works properly but something happened to the h2o cluster