Daniel,

> Non-internet installation (DM-602), blocked because Anaconda
> python install script needs internet.
> [...]
> Anaconda: need LSST-approved/supported way of installing w/o
> internet. See:
> https://dev.lsstcorp.org/cgit/LSST/external/anaconda.git/tree/ups/eupspkg.cfg.sh
> 
> Suggest requiring all eups dependencies installable by only
> touching the eups distributions server (i.e., not continuum.io
> <http://continuum.io> server)

	Anaconda is not supposed to be a stack dependency.  The idea is
that the LSST Stack works with whatever Python (plus numpy) you have
installed.  We offer to install Anaconda as a convenience, not a
requirement.  In this way, Python is similar to a system package (like
bison).

> eups packaging and distribution:
> One problem: no way to share permissions so that multiple people can
> use the eups distribution tool to manage distribution
> packages. Suggest a shared account (e.g., qservsw) that the devs can
> share. Perhaps use a sudo-like system so that each dev can run eups
> commands as that user.

	Ideally management of packages on a distribution server should
be automated and not manual.

	Note that sharing a stack installation is normal and can be done
using group permissions.

> mysql result plumbing: Creating custom local_infile handler in
> mysqlclient seems to be the fastest way to get in-process data through
> a mysqlclient into a mysql table. Other options: "prepared" insert
> statements with binding parameters; writing directly into
> myisam. Prepared statements are probably slower--mysql doc "8.3.2.1
> Speed of INSERT Statements" suggests that LOAD DATA INFILE is the
> fastest way to bulk-load data.

	Prepared statements are likely slower, but it's not clear by how
much.  They may be sufficiently performant, and are much easier to
support.

-- 
Kian-Tat Lim, LSST Data Management, [log in to unmask]

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