fix(spark): complete the notebook defaults and gate the History Server ACLs - #58
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Three fixes on the data services.
The PySpark profile of JupyterHub shipped an incomplete Spark configuration:
no event log compression, no rolling, and a network timeout too short for a
local cluster. Every notebook job inherited that, and a job can still override
it in its own builder.
The Spark History Server declared its OIDC filter, its ACLs and its group
mapping unconditionally. On a platform running without OIDC that left a broken
filter instead of an open UI. They now follow
.Context.oidc.enabled. Eventlog cleaning and rolling retention come back at the same time.
The control-plane server package follows the
0.7.1release published today.Verified on a sandbox installed from scratch: the History Server reports
ui acls enabled, groups with admin permissions: platform_admin, auditor, andthe PySpark profile carries the three new
--confentries.