* add error to call model
closes#331
previously, for async this error was being masked completely even if it was
something useful like the image not existing. for sync, the error was returned
in the http request but now it's also being stored. this error itself can
cover a lot of landscape, it could be an error in getting a slot, pulling an
image, running a container, among other things. anyway, no longer being
masked. we can likely improve it in certain cases we run into in the future,
but it's open ended at the moment and not being masked like some errors in
sync http request returns (503 non-models.APIError) for now.
* tucks in callTrigger stuff to keep api clean
* adds swagger
* adds migration
* adds tests for datastore and agent to ensure behavior
* pull images before tests are ran
* gofmt migrations file
* add per call stats field as histogram
this will add a histogram of up to 240 data points of call data, produced
every second, stored at the end of a call invocation in the db. the same
metrics are also still shipped to prometheus (prometheus has the
not-potentially-reduced version). for the API reference, see the updates to
the swagger spec, this is just added onto the get call endpoint.
this does not add any extra db calls and the field for stats in call is a json
blob, which is easily modified to add / omit future fields. this is just
tacked on to the call we're making to InsertCall, and expect this to add very
little overhead; we are bounding the set to be relatively small, planning to
clean out the db of calls periodically, functions will generally be short, and
the same code used at a previous firm did not cause a notable db size increase
with production workload that is worse, wrt histogram size (I checked). the
code changes are really small aside from changing to strfmt.DateTime,
adding a migration and implementing sql.Valuer; needed to slightly modify the
swap function so that we can safely read `call.Stats` field to upload at end.
with the full histogram in hand, we can compute max/min/average/median/growth
rate/bernoulli distributions/whatever very easily in a UI or tooling. in
particular, this data is easily chartable [for a UI], which is beneficial.
* adds swagger spec of api update to calls endpoint
* adds migration for call.stats field
* adds call.stats field to sql queries
* change swapping of hot logger to exec, so we know that call.Stats is no
longer being modified after `exec` [in call.End]
* throws out docker stats between function invocations in hot functions (no
call to store them on, we could change this later for debug; they're in prom)
* tested in tests and API
closes#19
* add format of ints to swag
* adds migrations
closes#57
migrations only run if the database is not brand new. brand new
databases will contain all the right fields when CREATE TABLE is called,
this is for readability mostly more than efficiency (do not want to have
to go through all of the database migrations to ascertain what columns a table
has). upon startup of a new database, the migrations will be analyzed and the
highest version set, so that future migrations will be run. this should also
avoid running through all the migrations, which could bork db's easily enough
(if the user just exits from impatience, say).
otherwise, all migrations that a db has not yet seen will be run against it
upon startup, this should be seamless to the user whether they had a db that
had 0 migrations run on it before or N. this means users will not have to
explicitly run any migrations on their dbs nor see any errors when we upgrade
the db (so long as things go well). if migrations do not go so well, users
will have to manually repair dbs (this is the intention of the `migrate`
library and it seems sane), this should be rare, and I'm unsure myself how
best to resolve not having gone through this myself, I would assume it will
require running down migrations and then manually updating the migration
field; in any case, docs once one of us has to go through this.
migrations are written to files and checked into version control, and then use
go-bindata to generate those files into go code and compiled in to be consumed
by the migrate library (so that we don't have to put migration files on any
servers) -- this is also in vcs. this seems to work ok. I don't like having to
use the separate go-bindata tool but it wasn't really hard to install and then
go generate takes care of the args. adding migrations should be relatively
rare anyway, but tried to make it pretty painless.
1 migration to add created_at to the route is done here as an example of how
to do migrations, as well as testing these things ;) -- `created_at` will be
`0001-01-01T00:00:00.000Z` for any existing routes after a user runs this
version. could spend the extra time adding 'today's date to any outstanding
records, but that's not really accurate, the main thing is nobody will have to
nuke their db with the migrations in place & we don't have any prod clusters
really to worry about. all future routes will correctly have `created_at` set,
and plan to add other timestamps but wanted to keep this patch as small as
possible so only did routes.created_at.
there are tests that a spankin new db will work as expected as well as a db
after running all down & up migrations works. the latter tests only run on mysql
and postgres, since sqlite3 does not like ALTER TABLE DROP COLUMN; up
migrations will need to be tested manually for sqlite3 only, but in theory if
they are simple and work on postgres and mysql, there is a good likelihood of
success; the new migration from this patch works on sqlite3 fine.
for now, we need to use `github.com/rdallman/migrate` to move forward, as
getting integrated into upstream is proving difficult due to
`github.com/go-sql-driver/mysql` being broken on master (yay dependencies).
Fortunately for us, we vendor a version of the `mysql` bindings that actually
works, thus, we are capable of using the `mattes/migrate` library with success
due to that. this also will require go1.9 to use the new `database/sql.Conn`
type, CI has been updated accordingly.
some doc fixes too from testing.. and of course updated all deps.
anyway, whew. this should let us add fields to the db without busting
everybody's dbs. open to feedback on better ways, but this was overall pretty
simple despite futzing with mysql.
* add migrate pkg to deps, update deps
use rdallman/migrate until we resolve in mattes land
* add README in migrations package
* add ref to mattes lib
