* implemented distinct
* implemented distinct
* uses first cut of a buffer pool, and extendible hashing with thresholded spill to disk
* tests
* cleaned up some stuff around query plan output to make developing tooling easier
* added optimization to call PQL Distinct()
* fixed test
* fix for passing wrong index name in orchestrator
* back out change to DistinctTimestamp
* fix other instance of wrong table name being passed
* use full index name instead of abbreviated one for translation. sigh.
* removed some unused code
Co-authored-by: Matthew Jaffee <jaffee@pilosa.com>
* delete implementation with test coverage
* optimize IN expressions; stop linter complaining
* fixed some uncovered query cases
* skip test in DAX for now
* Fix PQL distinct in dax
When issuing a PQL Distinct() call (or any other call with a "index=" arg),
this commit will attempt to convert the value in the index arg with a
TableKeyer.
* Apply change to call.Children as well
* Add some PQL Distinct (join) test coverage
* Fix "qualifer" misspellings
* Remove `track_existence` and `shard_width` from SHOW TABLES output
* Thread Owner, UpdatedAt, UpdatedBy through SchemaAPI
I took the liberty of renaming "LastUpdatedUser" to "UpdateBy" to align
with "UpdatedAt".
This commit introduces an interface called `TableKeyer` which anything that means to represent a "table"
can implement. Examples are `dax.QualifiedTable`, `dax.Table`, and `string` (for legacy pilosa calls
where Execute simply took `index string`).
In the case of `orchestrator.Execute()` and `qualifiedOrchestrator.Execute()`, we are intentionally strict
about which type of `TableKeyer` the respective method accepts. If we find, in the future, this is too
restrictive, we can loosen that; but for now it helps us understand what is expected.
* Move batch.Importer interface to pilosa.Importer
In addition to moving the interface, it updates all the methods to use
dax.TableID (for example) intead of a string pilosa index name.
* Change unused onPremImporter methods to no-op.
onPremImporter is a wrapper around API which implements the Importer
interface. This is currently only used by sql3 running locally in standard
(i.e not "serverless") mode. Because sql3 always sets
`useShardTransactionalEndpoint = true`, There are several methods which this
implemtation of the Importer interface does not use, and therefore they
intentionally no-op.
* WIP: Convert SchemaAPI to be DAX-centric
* Tables(), CreateField()
* CreateTable(), DeleteTable(), DeleteField()
* More cleanup
* Remove the old SchemaAPI
* FB-1739: Add ability to add a description to a table on creation
- Added CommentOption to handle text after COMMENT option.
- added description field in the createtable plan.
- The description is stored in the existing index metadata.
* Clean up dax service interfaces
Rename some of the `computer` interfaces and organize them in the
appropriate files.
Remove `dax/computer/alpha` package
* Remove ComputeAPI (it was replaced by batch.Importer)
* add nss-tools dependecy to smoke test
* moved the debug code to the right spot
* enforce int min/max constraints on inserts
* add a check for decimal min and max
* fixed borked tests
* fix the decimal to int conversion in constraint check
Co-authored-by: Travis Turner <travis@molecula.com>
* Introduce ServiceManager and Refactor DAX Integration tests
The ServiceManager provides an interface with which to manage
featurebase (dax) services (mds, queryer, computer). It replaces the
confusing interface implementations in /dax/server/server.go (which
optionally used pointers to in-process objects to satisfy an interface)
with (for now) http implementations. The thought is that even if we're
running all services in-process, we should communicate between services
over http in order to mirror what we would do in a production
environment where the services are running on different nodes.
This batch of commits does quit a lot, most of which is captured here:
- Added `path` support to `dax.Address`. Address is now a string of the form [scheme]://[host]:[port]/[path].
- Added `Holder.directiveApplied` to determine (in tests) if the computer has completed applying the latest directive. This is somewhat temporary until we improve the mds-to-computer logic.
- Removed the "service prefix" code which was prepending client URL paths with the prefix. Instead, the serviceType (mds, queryer, computer[n] is now part of `dax.Address`).
- Removed, from the dax config, the top level `StorageMethod` and `StorageDSN` and now just have `MDS.Config.DataDir`.
- Added `Computer.Config.N` to specify the number of computers to run in-process.
- Moved the `pilosa.MDS` interface to `computer.Registrar`. This is an example of getting the interfaces defined in the right packages.
- Added `SnapshotTable()` method to the mds client (to align with its API).
- Changed `Balancer.AddJob()` to `Balancer.AddJobs()` to support, for example, adding 256 partitions in a single call. Refactored some of the naive Balancer to account for this.
- Added a `Seed` to the top-level config. It's not really useful because of package `crypto/rand`.
- Added an in-memory implementation of the DisCo interface and disabled etcd in a computer service.
- Create sepearte data-dirs for each in-process computer.
- Disabled grpc in dax.
- Modified the sql3 test definition format to support multiple insert steps and separate query results (to align with those steps).
* Changes necessary to get multiple computer instance running in-process
For now the config looks like this:
```
[computer]
run = true
n = 4
```
but we can probably just change that to be something like:
```
[computer]
run = 4
```
*Issues found running multiple "computers" in-process*
- grpc was trying to bind on the same port
- changed GRPCListener from `*net.TCPListener` to `net.Listener`
- created a nopListener and set to that for now (i.e. disabled grpc)
- etcd was starting more than once
- changed dax to use in-memory implementations of the disco interfaces (i.e. stop using etcd)
- IDAllocator (which uses boltdb) was trying to open the `idalloc.db` file more than once
- realized we have to set separate data-dirs for each holder. that fixed it.
* Port dax integration tests to ManagedCommand
* Modify Balancer-related methods like AddJob to AddJobs
There were (and still are) a lot of places where we were adding on job
at a time, even when we had a long list of jobs to add. This resulted in
every job add (for example adding 1 of 256 shards) taking ~40ms, or over
10s to create a keyed table. One reason was because each job add was
making multiple boltdb transactions.
* Port over more dax integration test stuff
* Add DirectiveApplied to signify that snapshot/writes have loaded.
We use this in tests to avoid using sleeps.
This should be considered temporary; we're going to need a more robust
solution for determining when a computer node is ready to serve complete
data.
* Finish porting dax integration tests
* Improve godocs
* Remove docker-based DAX integration tests.
* go mod tidy
* Move test/managed.go to avoid package conflicts
* Modify IDK integration tests to work with ServiceManager changes
This is really just computer -> computer0
And the MDS DataDir config change.
* cleanup found during review
* echo $CI_COMMIT_REF_SLUG in CI
* remove docker image arg, use build instead
* fixed a bunch of issues with non-pql aggregation; moved some decimal related functionality; made top actually top (for the non-pql case); experimental create function
* drive up test coverage
implements an fb_exec_requests system table. The purpose of this table is to allow access to internal state to see what queries are running and have been run.
Co-authored-by: Travis Turner <travis@molecula.com>
* tighten up checks for order by expressions fixed ordering by expressions
* added testing to cover order by cases
* Add DecimalAgg member to proto GroupCount definition
In DAX, where we have split the orchestrator from the executor, and the
orchestrator can run on a different host, there are cases where
`GroupCount`s can travel over the wire via the Internal Client. In these
cases, when the group count contains a decimal aggregate, we need to
send that value as the appropriate type.
* fixed missing cases in order by and case block eval
Co-authored-by: Travis Turner <travis@molecula.com>
* Fix formatting in CLI results with custom SQLResonse.UnmarshalJSON
When I started this, it was meant to be a quick fix to address the confusing
result formats we were seeing in the CLI. For example, all large integer values
were displayed in scientifc notation. This is because we were passing the result
types from JSON (in this case, float64) into pretty print. Similarly, `IDSets`
and `StringSets` where being printed using the default go Stringer for the types
[]int64 and []string respectively.
I started by writing a customer UnmarshalJSON() method for the `SQLResponse`
type. Part of this (the part which converts data types based on header types)
was already being used in dax tests, so this just formalizes that logic as part
of the `SQLResponse` type.
Then I realized that the sql3 tests (run against the `sql3` package) were
failing because sql3 is not actually returning the `IDSets` and `StringSets`
types. A future task is to formalize return types, define them, and modify sql3
to return them. Once that is done, we can remove the "typed" switch in the
`SQLResponse` json unmarshaller.
Another significant change is the modification to the `ExprDataType` interface:
```
type ExprDataType interface {
exprDataType()
TypeName() string
TypeDescription() string
TypeInfo() map[string]interface{}
}
```
I added two more methods in order to distinguish between a type (`DECIMAL`), its
description (`DECIMAL(2)`), and its type info (`"scale": int64(2)`). Currently,
the description can be used as the field definition in a CREATE TABLE statement,
but we may want to re-think that. Also, Decimal is the only type currently using
TypeInfo.
Finally, I tried to consilidate things around `dax.FieldType` instead of
comparing against parser types outside of sql3. We still have some sql3 parser
and planner types lurking about, but we can address those in future commits.
* Add some test coverage
* smoke test expected INT, now int
* minor fixes
* Introduce WireQueryResponse and related types
This also changes dax.FieldType to dax.BaseType.
* Populate WireQueryResponse correctly
Currently this is in the http handler, and in the queryer.
* Convert sql3 and dax tests to expect pilosa.WireQueryField in results
* fix PQL tests in the SQL defs
* Address a few of the skipped sql tests in dax
