It only grabs the user_profile_id column now. This leads to a
speedup of about 16x between grabbing large ORM objects vs.
small 1-column dictionaries.
(imported from commit 95150bff3fdcbe250b04f014062224af42a6644f)
Splitting out notify_peers() will give us flexibility for cleaning
up how we notify peers for bulk adds.
(imported from commit e108fa2c432cc1fe54d788c58c82c983e0f2394e)
If you expand subscribers on your settings page, you will now see
a query like this in your postgres logs:
SELECT "zerver_userprofile"."email"
FROM "zerver_subscription" INNER JOIN "zerver_recipient" ON ("zerver_subscription"."recipient_id" = "zerver_recipient"."id") INNER JOIN "zerver_userprofile" ON ("zerver_subscription"."user_profile_id" = "zerver_userprofile"."id") WHERE ("zerver_recipient"."type" = 2 AND "zerver_subscription"."active" = true AND "zerver_recipient"."type_id" = 40 AND "zerver_userprofile"."is_active" = true )
The join's still complicated, but the list of fields is one instead of 40+.
(imported from commit 48de1f888193a4d23fcea52d0b633d134e4a3ff7)
get_subscribers_backend() now calls the new get_subscriber_emails()
function, which just queries the email field:
"zerver_userprofile"."email"
...instead of querying about 40 fields that it never uses.
I was able to verify the query slimming by watching my postgres server log.
Also, you can verify that the ORM does roughly 16x less work using values():
>>> def f(): return [sub.user_profile.email for sub in list(Subscription.objects.all().select_related())]
...
>>> def g(): return [row['user_profile__email'] for row in list(Subscription.objects.all().values('user_profile__email'))]
...
>>> def timeit(func): t = time.time(); func(); return time.time() - t
...
>>> timeit(f)
0.045198917388916016
>>> timeit(g)
0.002752065658569336
(imported from commit a69f690a96d076b323fdfc2f4821b0548bdfac7f)
The get_status_dict_by_realm helper gets called whenever our
realm user_presences cache expires, and it used to query these fields:
"zerver_userpresence"."id", "zerver_userpresence"."user_profile_id", "zerver_userpresence"."client_id", "zerver_userpresence"."timestamp", "zerver_userpresence"."status", "zerver_userprofile"."id", "zerver_userprofile"."password", "zerver_userprofile"."last_login", "zerver_userprofile"."is_superuser", "zerver_userprofile"."email", "zerver_userprofile"."is_staff", "zerver_userprofile"."is_active", "zerver_userprofile"."is_bot", "zerver_userprofile"."date_joined", "zerver_userprofile"."bot_owner_id", "zerver_userprofile"."full_name", "zerver_userprofile"."short_name", "zerver_userprofile"."pointer", "zerver_userprofile"."last_pointer_updater", "zerver_userprofile"."realm_id", "zerver_userprofile"."api_key", "zerver_userprofile"."enable_desktop_notifications", "zerver_userprofile"."enable_sounds", "zerver_userprofile"."enter_sends", "zerver_userprofile"."enable_offline_email_notifications", "zerver_userprofile"."last_reminder", "zerver_userprofile"."rate_limits", "zerver_userprofile"."avatar_source", "zerver_userprofile"."tutorial_status", "zerver_userprofile"."onboarding_steps", "zerver_userprofile"."invites_granted", "zerver_userprofile"."invites_used", "zerver_userprofile"."alert_words", "zerver_userprofile"."muted_topics", "zerver_client"."id", "zerver_client"."name"
Now it queries just the fields it needs:
"zerver_client"."name", "zerver_userpresence"."status", "zerver_userpresence"."timestamp", "zerver_userprofile"."email" FROM "zerver_userpresence"
Also, get_status_dict_by_realm is now namespaced under UserPresence as a static method.
(imported from commit be1266844b6bd28b6c615594796713c026a850a1)
This function gets user presence information, which changes rapidly
and requires a pretty simple query.
(imported from commit f9b9f0f22277335c76eb4371930a4fff2758a240)
The do_send_messages() populates the user_presences data structure
for process_new_message(), so that Tornado code never needs to hit
the database or memcached to get the user presence info.
(imported from commit 194aeaead8fa712297a2ee8aff5aa773b92f1207)
These engagement data will be useful both for making pretty graphs of
how addicted our users are as well as for allowing us to check whether
a new deployment is actually using the product or not.
This measures "number of minutes during which each user had checked
the app within the previous 15 minutes". It should correctly not
count server-initiated reloads.
It's possible that we should use something less aggressive than
mousemove; I'm a little torn on that because you really can check the
app for new messages without doing anything active.
This is somewhat tested but there are a few outstanding issues:
* Mobile apps don't report these data. It should be as easy as having
them send in update_active_status queries with new_user_input=true.
* The semantics of this should be better documented (e.g. the
management script should print out the spec above)x.
(imported from commit ec8b2dc96b180e1951df00490707ae916887178e)
It was getting hard to follow and is going to get more complicated
with a new super user check in a later commit.
(imported from commit 8d5cfa960824519d87ce0f09aab3a120ba9ef357)
An important part of this is updating the various caches that cache
the display_recipient.
(imported from commit 888bf54fd205516cf31a25ba3f4e45ad11bbd4d5)
Before this it was [deleted]. Using parens is consistent with how we put
in (no topic) if you don't specify a topic.
(imported from commit 931c06a1096cf7b0d226336cbe82535abd2e6032)
This helps make our statuses more meaningful and should resolve trac #1534.
As part of this, we lower OFFLINE_THRESHOLD_SECS to 1.1̅6 minutes and
mark the user as idle after 5 minutes.
(imported from commit ee6b1ad203554a84b11e16c4c6195be9df5bcf4f)
Steve Howell
Leo Franchi
Jessica McKellar
Tim Abbott
Scott Feeney
acrefoot
Kevin Mehall
Luke Faraone