* Formatting adjustments made during code review.
While reviewing the BULK INSERT logic (in order to decide how best to
approach "ingest via sql" in the cloud), I made a few formatting and
comment changes. I'm just adding them here as a separate commit so they
don't muddy up my actual work.
* Parser modifications to support mulitple tuples in INSERT INTO
This commit doesn't include all of the changes required in the
planner. Fow now, the planner is simply modified to continue supporting
a single tuple (the first tuple in the list).
* Update the planner to handle multiple INSERT INTO tuples
This is part 1. It's still using the existing logic which builds an
ImportRequest for every record (and every field!).
The next step will involve using a client.Batch to handle the records.
* Introduce client.Importer interface (used by client.Batch)
Instead of the Batch having a pointer to a client, this puts an
interface there instead (which the client implements). It also allows us
to inject a different importer (i.e. other than a featurebase.client)
into the Batch.
* Decouple batch from client
This commit pulls batch-specific code out of the client package and into
a new batch package. It introduces the batch.Importer interface, the
methods of which replace all the calls that batch was previously making
directly to client methods.
Finally, it contains two implementations of the batch.Importer
interface: one is a wrapper around client, and the other is a wrapper
around featurebase.API.
* Use docker (instead of MustRunCluster) for internal batch tests
Because the `batch` package tests are internal, using
test.MustRunCluster() resulted in an import loop (because it eventually
imports `server`, and we can't have that). So this commit replaces the
use of `test.MustRunCluster()` with docker. The setup is basically the
same as that used in the idk docker tests.
Here we also remove all client-side references to `UseIngestAPI`, which
is an experimental (json) ingest api. It's still suppored on the server,
but here we remove the external usage of it.
* cherry-pick fix
* Use batch.Import() for sql3 INSERT INTO statements
* Thread logger into sql3
* fix batch test
* Fix some shadowing complaint by linter
* Address some test issues related to stringsets
* Exclude batch integration tests from CI
* Address PR feedback
- Added description to batch.README
- Consolidated grep commands in .gitlab-ci.yml
- Removed some debugging comments
- Replaces some inadvertantly removed license headers
* Add batch package to gitlab CI
* Updated CI for batch package
Updated CI include path
Update gitlab ci
Update CI
Update CI
Trying new include path for ci
Updated gitlab ci include path
Made idk race job optional for sonarcloud upload
add testdata directory
remove testenv from dockercompose file
use GIT_STRATEGY clone in batch CI
add testdata volume to dockercompose
Co-authored-by: Fletcher Haynes <fletcher.haynes@generalassemb.ly>
(cherry picked from commit 00ef2380e5)
This is living in a subdirectory for now so we can have better
turnaround time on tests and not have to build everything else
along with it.
This covers the logic that we can have *without* actually using
databases or the filesystem in any way, just to provide a framework
that lets us validate the logic handling overlapping queries.
The overall purpose of this is to prevent deadlocks, by ensuring
that database locks are only taken when we have already proven
that they are available. In short, the QueryContext preregisters
its "scope" -- the set of things it may want to lock. The operation
of creating the QueryContext can block, but it blocks with no
database locks held. Once it is unblocked, the scope it has reported
is now considered unavailable, and no other QueryContext using any
overlapping scope can complete creation until this QueryContext
completes. While it's running, the QueryContext can't request write
access to anything outside its scope. Thus, once created, a
QueryContext can always proceed, without being blocked, until it's
done.
Note that this does not fully address multi-node behaviors;
once you have a QueryContext blocking things, you need to not
make queries to other nodes that could be blocked in turn by those
nodes. In short, no write queries to other nodes while holding a
write-type QueryContext on the local node, because if two nodes
do that to each other at once, they can both be blocked.
We believe RBF is currently designed such that read-only accesses
don't block progress on writes, so non-write access doesn't
create problems.
We also have some code to allow us to create dot-format output
from the components of this system, which is mostly intended to
be a debugging tool.
(cherry picked from commit e3d137f29c)
Covers tightening up handling filter expressions that contain is/is not null ops. These filters may have to be translated into PQL calls to be passed to the executor and even though sql3 language supports nullability for any data type, currently only BSI fields are nullable at the storage engine level (there is a ticket to add support for non-BSI field here FB-1689: IS SQL Argument returns incorrect error) so when these fields are used in filter conditions we need to handle BSI and non-BSI fields differently.
enriched metadata for tables
added support for the concept of a table and field owners in metadata; mechanism to derive owner from http request metadata; metadata for table description
We thought stack traces were mildly expensive. We were very wrong.
Due to a complicated issue in the Go runtime, simultaneous requests
for stack traces end up contending on a lock even when they're not
actually contending on any resources. I've filed a ticket in the
Go issue tracker for this:
https://github.com/golang/go/issues/56400
In the mean time: Under some workloads, we were seeing 85% of all
CPU time go into the stack backtraces, of which 81% went into the
contention on those locks. But even if you take away the contention,
that leaves us with 4/19 of all CPU time in our code going into
building those stack backtraces. That's a lot of overhead for a
feature we virtually never use.
We might consider adding a backtrace functionality here, possibly
using `runtime.Callers` which is much lower overhead, and allows us
to generate a backtrace on demand (no argument values available,
but then, we never read those because they're unformatted hex
values), but I don't think it's actually very informative to know
what the stack traces were of the Tx; they don't necessarily reflect
the current state of any ongoing use of the Tx, so we can't necessarily
correlate them to goroutine stack dumps, and so on.
* resolving bool null field ingestion error
* testing issues
* adding null support for bools
* updating the null bool field ingestion
* trying to resolve issue when ingesting null value for bool type
* adding a clearing support for bool type
* resolving issues with bool null value ingestion
* updating the jwt go package version and removing changes made in docker compose file
* reverting jwt go version
* removing v4 of jwt
* adding a comment in test file to see if sonar cloud accepts this file
* adds dockerfile for building images to run examples on
* adds makefile entries to build and push docker runner images
* cleans up tar artifacts when building ingest runner
* moves executables to /usr/local/bin
* moves the sources for building runner images into their own folder
* simplifies makefile and adds directions to readme
* use t.Fatal(f) to abort tests, not panic
* make perf_able run at all, make it debug a bit better
switch perf-able to using same node type we use for other spot instances,
because otherwise it never finds any available capacity.
we switch the perf-able script to use the standard get_value function
instead of direct jq calls.
we try to grab server logs if the restore fails in the hopes of finding
out why the restore very occasionally fails.
* Fix some issues with running IDK tests in docker. (#2248)
*Stop running TestKafkaSourceIntegration with t.Parallel()
This test can't be run in parallel as it's currently written. Doing so
allows for interleaving of messages to the same kafka topic between
tests.
I didn't attempt to modify the test so it could be run in parallel. That
could be done, but left for someone more ambitious.
* Remove idk/testenv/certs which got accidentally committed.
also update .gitignore to include those.
* changes to add bool support in idk (#2240)
* initial changes to add bool support in idk
* modifying some default parameters for testing, will revert them later
* adding support for bool in making fragments function
* boolean values implementation without supporting empty or null values at this point
* Implement bool support in batch using a map (and a slice for nulls) (#2247)
* Implement bool support in batch using a map (and a slice for nulls)
* Keep the PackBools default for now
But set it explicity in the ingest tests which rely on it.
* Modify batch to construct bool update like mutex
The code in API.ImportRoaringShard has a switch statement which causes
bool fields to be handled like mutex fields. This means, that the
viewUpdate.Clear value should only contain data in the first "row" of
the fragment, which it will treat as records to clear for *all* rows.
This makes more sense for mutex fields; for bool fields, there's only
one other row to clear. But since the code is currently handling them
the same, we need to construct viewUpdate.Clear such that it conforms to
that pattern.
This commit also adds a test which covers this logic.
* Remove commented code; revert config for testing
This commit also removes the DELETE_SENTINEL case for non-packed bools,
since that isn't supported anyway.
* Revert default setting
* remove inconsistent type scope
* correcting the logic of string converstion to bool
* resolving an error in a test
* adding tests to cover code related to bool support in batch.go file and interface.go files
* modifying interfaces test
* added one more test case
Co-authored-by: Travis Turner <travis@pilosa.com>
Co-authored-by: Travis Turner <travis@molecula.com>
* resolving bool null field ingestion error (#2254)
* resolving bool null field ingestion error
* testing issues
* adding null support for bools
* updating the null bool field ingestion
* trying to resolve issue when ingesting null value for bool type
* adding a clearing support for bool type
* resolving issues with bool null value ingestion
* updating the jwt go package version and removing changes made in docker compose file
* reverting jwt go version
* removing v4 of jwt
* adding a comment in test file to see if sonar cloud accepts this file
* don't obtain stack traces on rbf.Tx creation
We thought stack traces were mildly expensive. We were very wrong.
Due to a complicated issue in the Go runtime, simultaneous requests
for stack traces end up contending on a lock even when they're not
actually contending on any resources. I've filed a ticket in the
Go issue tracker for this:
https://github.com/golang/go/issues/56400
In the mean time: Under some workloads, we were seeing 85% of all
CPU time go into the stack backtraces, of which 81% went into the
contention on those locks. But even if you take away the contention,
that leaves us with 4/19 of all CPU time in our code going into
building those stack backtraces. That's a lot of overhead for a
feature we virtually never use.
We might consider adding a backtrace functionality here, possibly
using `runtime.Callers` which is much lower overhead, and allows us
to generate a backtrace on demand (no argument values available,
but then, we never read those because they're unformatted hex
values), but I don't think it's actually very informative to know
what the stack traces were of the Tx; they don't necessarily reflect
the current state of any ongoing use of the Tx, so we can't necessarily
correlate them to goroutine stack dumps, and so on.
* fb-1729 Enriched Table Metadata (#2255)
enriched metadata for tables
added support for the concept of a table and field owners in metadata; mechanism to derive owner from http request metadata; metadata for table description
* tightened up is/is not null filter expressions (FB-1741) (#2260)
Covers tightening up handling filter expressions that contain is/is not null ops. These filters may have to be translated into PQL calls to be passed to the executor and even though sql3 language supports nullability for any data type, currently only BSI fields are nullable at the storage engine level (there is a ticket to add support for non-BSI field here FB-1689: IS SQL Argument returns incorrect error) so when these fields are used in filter conditions we need to handle BSI and non-BSI fields differently.
* added a test to cover the keyword replace as being synonymous with insert (#2261)
* update molecula references to featurebase (#2262)
Co-authored-by: Seebs <seebs@molecula.com>
Co-authored-by: Travis Turner <travis@pilosa.com>
Co-authored-by: Pranitha-malae <56414132+Pranitha-malae@users.noreply.github.com>
Co-authored-by: Travis Turner <travis@molecula.com>
Co-authored-by: pokeeffe-molecula <85502298+pokeeffe-molecula@users.noreply.github.com>
Co-authored-by: Stephanie Yang <stephanie@pilosa.com>
* removes build time constant in favor of single constant with relevant godoc and warnings
Co-authored-by: Christopher Lowenthal <christopher.lowenthal@molecula.com>
* removes rewrite-rules, sets gofmt.simplify to default true
* moves go vet step before the golangci-lint step
* fixes go vet issues with test files
* updates gocognit.min-complexity to default of 30
* removes deprecated options, primarily around run.go version
When we've started a fake cluster, we should expect to reach a
"STARTING" state, not a "DOWN" state. This test would coincidentally
pass as long as we checked the state before any of the nodes got
their notification from the node watcher that at least one node was
STARTING, because prior to that the cluster would be DOWN. But once
it got to STARTING, we would wait forever; we never reached the
instruction to tell the nodes to come to any other state, and they
would never reach a DOWN state.
* ID sql3 internal type representation is int64; fixed a bug that assumed incorrectly that it wasn't
* refactored some names for clarity
* primary: get nested loop joins to work; secondary get brute force aggregations for SUM working
* added tests; removed debug output
* review feedback
* Update sql3/planner/compileselect.go
review feedback
Co-authored-by: Travis Turner <travis@pilosa.com>
Co-authored-by: Travis Turner <travis@pilosa.com>
The testhook post-test hooks only work if you use a TestMain to
invoke them, otherwise the cleanups can be registered but never
actually get run. This deletes the etcd sockets, and temp
directories, that we created from our test runs. We also fix
the test creating a temp file directly to create it in a TempDir
(which gets cleaned up after the test), and fix the name of the
top-level tests displayed in TestMain.
We centralize the creation paths for test indexes, fields,
etcetera so they all have a common path, all using standard
test holders. There's still two versions, one for test.* functions
and one for internal. They do share a TestHolderConfig though.
Large hunks of the related APIs are simplified/streamlined.
* Fragments are always created with a Field and don't need
a workaround in case they don't have it.
* Creation of test fragments, etc., use optional FieldOptions
but don't specify names because they're all using new holders
for each thing created anyway. This dramatically reduces
the complexity of the calls.
* test fragments are created inside test views which are created
inside test fields, etcetera, so everything is using the same
logic; test views aren't bypassing the other layers, they're
creating themselves normally within a field.
* Quite a few things now use the standard runtime/production
logic instead of being custom workarounds; for instance, instead
of `mustOpenMutexFragment` creating a fragment and then creating
a mutex vector for it, we just create a mutex-typed field and
have the normal runtime code do this.
* Similarly, we now use the same field creation logic that production
does, instead of having our own test-only thing that validates
field names directly, so our test that we're validating field names
is actually testing the runtime code. Yay.
* fragSpec goes away. it was a replacement for fragProxy which existed
to solve memory allocation problems but replaced them with interface
overhead problems. Now we just have pointers to things and maintain
valid data structures.
* Many panics are now Fatal or Fatalf calls.
* Some specific bugs fixed, like a cluster which was requested and
then had its first node directly overwritten, which isn't valid with
shared clusters.
* Drop the temp-dir test flag and TempDir variable, we can just use
$TMPDIR.
* Drop a benchmark of "write file to disk" that was purely a benchmark
of file write speed, not a benchmark of rendering the data that needs
to be written.
* Drop the unused "flags" parameter to fragment creation, which was
only used back when we changed the BSI format.
* Use holder.Txf() rather than index.Txf(). The TxFactory has to be
holder-level anyway, referring to it via the index is misleading.
* Test holders automatically close themselves and delete themselves,
we remove various other things that thought they were responsible
for deleting themselves.
The default client appears to be pretty spammy and flood us with
debug messages about POST and GET requests, and honestly we don't really
need these or benefit from them, I don't think, so let's not.
A few view functions were taking a Tx, which had to be shard-specific,
but that's sort of awkward -- the view is inherently not shard-specific,
so it should be handling sharding internally.
There were also a couple of remaining obsolete checks for whether a
Tx was nil, at least two of which were in contexts where it absolutely
can't be. Remove all of them, and also the function itself.
* handle multi field count correctly
COUNT() should ignore null values.
If the data type of the expression supports an existence bitmap for the underlying FeatureBase data type we will use it to eliminate nulls from the aggregate
* simplify aggregate for existence test
we can use a direct != null instead of an indirect not(=null), and
avoid relying on the probably-broken behavior in the executor that
tries to silently fix up Row(x=3) tests on BSI fields which wanted
Row(x==3).
Co-authored-by: Seebs <seebs@molecula.com>
We had this fail in CI once, and failing took 30 minutes because
we didn't have a timeout on this. This shouldn't ever fail, but
the fact that it did indicates that the fabled etcd failures
we've seen a couple of times were still capable of happening.
This will make that failure happen sooner and more clearly.
Also, log the cluster states (and possibly node states) while
waiting. But add a delay -- otherwise we can do this quite a few
times per millisecond. We use Logf so that, if you didn't use -v,
you see these reported only if the test fails, but if the test fails,
we'll say what happened.
It would probably be better to have a passive thing that can wait
for updates, because we're waiting on heartbeats. Missing: A way to
detect what's actually happening in the failure cases, which we
see only quite rarely.
