Assignment compatibility checking in analyzeBulkInsertStatement is
now tested. This isn't checking the values themselves, it's there
to make sure the structure is correct for mapping values to columns.
It turns out that the problem with nested joins was that we were
trying to cleverly invert them, but that seems to be incorrect and
resulted in incorrect nesting.
The test case for this is
SELECT * FROM X INNER JOIN Y ON true INNER JOIN Z ON false
this is now parsed as
(X inner join Y on true) inner join z on false
Which, as it turns out, is the structure that stringizes back to the
original statement.
We were previously parsing it as
X inner join (y inner join z on false) on true
which stringizes out to a different form, and is also, I think,
just straightforwardly not what we want.
So basically, we had special case code to recognize that we
were doing a join on top of another join, and invert them in
some way, and I have no idea why because that seems not to be
correct, or at least, it produces nonsensical stringizing that
we can't then parse.
We now test the tuple-assignment at all, although it's
perhaps confusing because we expect a ()-list of columns
to go with a {}-list of values. We also test a lot more
errors and some more successes, and additional literal types
in mustParseLiteral.
This is a sanity-check after a weird CI failure; we want
to ensure that we're actually getting the expected version of
featurebase. The environment variable here is magic to the
IDK tests.
We have had some weird problems that look like IDK was being tested
against the wrong version of featurebase. Add a test which requests
the version, and if an environment variable is set, requires that
the featurebase server agrees with it.
FB-2045
aggregate{Avg,Min,Max}->Update now tested for DataTypeDecimal.
{avg,min,max}PlanExpression->WithChildren now tested.
percentilePlanExpression->{Evaluate,Plan,WithChildren} is not
tested because percentile gets sent directly to PQL rather than
getting planned and evaluated in SQL.
aggregateLast->everything is not tested because Last is not yet
completely implemented.
We distinguish between "TrackExistence option is set"
and "we are actually doing existence tracking", to avoid
mishaps like accidentally creating an "existence" view for
a BSI field or something like that. This logic was being
done probably-correctly in one place, and ignored or
handwaved in some, so this is an attempt to just make
it more consistent.
We had two different versions of this, and a comment referring to a third
which doesn't exist, so I've consolidated them and made them slightly
pickier, to avoid problems like the one I ran into developing the existence
tracking where one of these optimistically transformed names it actually
shouldn't have. Now if we don't expect a view name, we yield an error,
rather than silently performing a transformation.
This also implies updating the ImportRoaring_MultiView test to use
two valid view names.
There's a lot going on here. First, we were treating "the test is
a Condition" as implying BSI, which it doesn't anymore. Second, the
behavior of conditions was weird and BSI-specific. Third, we had
to propagate these changes and features throughout a bunch of code,
including both the core featurebase code and the DAX replacements/copies
of it, plus the SQL3 layer.
We refactor this so that tests for equality and inequality work for
non-BSI fields, so now if you accidentally use `==` in a Row call
on a non-BSI field, it still works; that's not specific to BSI
fields anymore.
We add a TrackExistence flag to fields, and propagate it through
things like our protobuf code, etcetera, so that we can successfully
create fields. Newly-created fields get this by default, because
we add it unconditionally to them, but the paths that are being
called with existing fields don't add it. So, when we "create"
(really, just load the definition of) a field from something stored
in the schema, we don't add TrackExistence to it, but any path to
creating a new field should.
A time quantum field with NoStandardView will *effectively*
lack TrackExistence.
For sets, mutexes, and time quantums with a standard view, anything
that sets bits will also set a corresponding bit for the record in
a new "existence" view. This allows us to distinguish between an
empty set and a null, and also allows null checks to be constant-time.
When clearing bits, we don't clear existence bits EXCEPT that if
you clear a bit in a mutex, *and the bit actually existed*, we clear
the existence bit. For sets and time quantums, clearing bits never
clears the existence bit.
Deleting records clears the existence bit.
We also add code to the `batch` subpackage to generate suitable
existence field bitmaps and import them. This logic correctly handles
empty sets and nils. The `batch` package does not allow specification
of anything equivalent to clearing a single bit from an existing
record, so we don't have to deal with the mutex complexity in that
case, which is good because it would be impossible.
This requires a number of other subtle changes, such as allowing
new fields to have more than one FieldOption specified for them.
We also drop the handful of implementation bits relating to the
"fullySorted" internal-use-only import flag, which existed only to
support the JSON ingest API, which we've removed.
The most dangerous part of this is that the mutex semantics are
impossible to implement on top of our existing API, because they
require us to know, not how *many* bits we cleared, but which
*specific* bits we cleared. I've implemented this as a new Tx method,
which is almost certainly going to be tech debt one day; if we some
day drop the Import API, we should remove that.
The testing for this is only currently covering the Set/Clear
behavior of PQL, and the Import API. The batch tests haven't been
written yet.
Fields that don't have existence tracking enabled refuse to perform
null/not-null tests. They should also report themselves as having
no null values -- if a record exists, sets in it are considered
empty rather than null.
The SQL3 support requires a number of subtle modifications to both
featurebase and some addon tooling. The essential thing is dropping
the unconditional translation of nil slices to non-nil empty slices
in translateResult, both in the executor and the orchestrator. We
also modify the logic that handles generating results from Extract
calls, to ensure that non-null sets get an empty slice created for
them even if they never have any values assigned.
The expected results for some tests are different now; we expect to
get nil slices, rather than 0-length non-nil slices, for fields which
were never written for a given record. Most tests were not changed.
(In every case, if a test was failing, I actually checked the logic
before changing expected results. This required a lot of tracking down
of edge cases.)
The batch package now rejects as an error attempts to clear single
bits from mutex fields, because so far as I can tell it's simply
impossible to have a roaring import that specifies the correct semantics
there; you can't tell whether to clear an existence bit without
access to the currently-set bits, which the batch API doesn't have.
We already supported the special case of specifying a clear value
of nil for clearing a mutex field; now that is the only allowed
value for a mutex field to have in row.Clears.
We change the logic for fixing up incoming view names (in two places)
to stop assuming that any view in a time field other than "" that does
not have viewStandard as a prefix is a partial time quantum name that
should have "standard_" prepended to it. This allows us to submit
bitmaps for "existence" to time quantum fields and not have them
silently transformed into "standard_existence" because that's what we'd
do with "202203".
We drop the field ClearBits method, which was totally unused.
We drop the sliceDifference function, which was used in a previous
mutex implementation and hasn't been used in ages, and the test
case for it, and the helper function used only by that test case.
At some point in some other refactor, this option got removed from the
function call it was supposed to be an option to.
But actually that was... not correct either.
Because if you look closely, it turns out that this test was completely
broken; we were ignoring the results that were in the test, and using
inline results, but that's okay, because we were also doing the wrong
query for the second test, and ignoring the Field Options specified in
the test... all fixed now.
* added dupe check
* added dupe check for databases
* prevent dupe table names
* refactored table dupe search
* further refactoring
This commit, further refactoring of checking for duplicates are done with SQL commands
Also adjusted tests to confirm changes
* fixed linting errors
* moved the errors around to keep them consolidated in the dax package
also removed useless comment
FB-2041
Added tests for typeIsTimeQuantum and typeIsSet and made them pass.
Added tests for DataTypeTuple cases in typesAreAssignmentCompatible.
Timestamp conversion checking is handled before it gets to that
point but I left those branches in as a backstop.
Checking to see if DataType[String,ID]SetQuantum can be assigned
to themselves doesn't appear to be reachable currently but left
those branches in, because something may use them in future.
Added one test to the DAX skip list since it's the IDSetQ version
of a StringSetQ test that was already on there, changed skip list
to refer to both tests by name instead of by number.
