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Tuesday, March 14th, 2017

    Time Event
    4:00p
    Security updates for Tuesday
    Security updates have been issued by Arch Linux (linux-grsec and linux-lts), Debian (icoutils, imagemagick, and roundcube), Fedora (freetype, libupnp, libwmf, thunderbird, tor, and w3m), Red Hat (chromium-browser and thunderbird), Scientific Linux (thunderbird), and Ubuntu (icoutils, icu, libevent, pidgin, pillow, and python-imaging).
    5:29p
    [$] A deadline scheduler update
    The deadline CPU scheduler has come a long way, Juri Lelli said in his 2017
    Linaro Connect session, but there is still quite a bit of work to be done.
    While this scheduler was originally intended for realtime workloads, there is
    reason to believe that it is well suited for other settings, including the
    embedded and mobile world. In this talk, he gave a summary of what the
    deadline scheduler provides now and the changes that are envisioned for the
    near (and not-so-near) future.
    9:40p
    Red Hat Product Security Risk Report 2016
    Red Hat has released its annual
    report
    on the vulnerabilities that afflicted its products and how they
    were handled. "Looking only at issues affecting base Red Hat
    Enterprise Linux releases, we released 38 Critical security advisories
    addressing 50 Critical vulnerabilities. Of those issues, 100% had fixes the
    same or next day after the issue was public. During that same timeframe,
    across the whole Red Hat portfolio, 76% of Critical issues had updates to
    address them the same or next day after the issue was public with 98%
    addressed within a week of the issue being public.
    "
    10:34p
    Haas: Parallel Query v2
    Robert Haas describes
    the many parallelism enhancements
    in the upcoming PostgreSQL 10
    release. "The Gather node introduced in PostgreSQL 9.6 gathers
    results from all workers in an arbitrary order. That's fine if the data
    that the workers were producing had no particular ordering anyway, but if
    each worker is producing sorted output, then it would be nice to gather
    those results in a way that preserves the sort order. This is what Gather
    Merge does. It can speed up queries where it's useful for the results of
    the parallel portion of the plan to have a particular sort order, and where
    the parallel portion of the plan produces enough rows that performing an
    ordinary Gather followed by a Sort would be expensive.
    "

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