* Support Drop Table in serverless (include Snapshotter, Writelogger) * Finish Database methods Things like: - `Databases` - `DatabaseByID` - `DatabaseByName` - `DropDatabase` * Change Poller to use NodeService instead of its own map Instead of the Poller maintaining its own map of Addresses to poll, this commit changes the Poller to use the NodeService interface to get all known nodes from the Controller. The next commit needs to: Next, the logic in the boltdb NodeService implementation was moved to the boltdb Balancer implementation. That way, the Balancer can be the source of truth for all things nodes/workers/jobs. * Move NodeService from Controller to Balancer This commit moves the implementation of the NodeService into the Balancer, and aligns `Balancer.AddWorker` with `NodeService.CreateNode` so that they stay in sync. (Same for `Balancer.RemoveWorker` and `NodeService.DeleteNode`). * fix import of private repo * Fix go vet issues * Fix bug in DeregisterNode We need to remove the node from the NodeService even if it's not assigned to a database. The logic had a bug in it. This also adds some no-op implementations for SnapshotService and WriteloggerService. If a directory was not configured for that, then the computer node would panic on trying to read from the Snapshotter upon receiving a Directive. * queryer response content-type: json * Add support for NULL to WriteloggerDir and SnapshotterDir configs This commit changes the way WriteLoggerDir and SnapshotterDir are handled. If value is empty `""`, an error will be returned on computer startup. If value is `"NULL"`, a no-op implementation of the service will be used. This would be for a case that wanted to run serverless on-prem with no durable storage. Finally, any other value will be used as the directory to use. Some things which aren't considered here and may result in unexpected behavior: - a value with spaces `" "` - any "null" which is not "NULL"... like lowercase. * Finish the DropTable test * Change "disable service" value to case-insensitive "off" This commit also removes an unnecessary sleep in the tests. * Fix docker-compose variables for IDK test Co-authored-by: Matthew Jaffee <jaffee@pilosa.com> |
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|---|---|---|
| .. | ||
| api | ||
| bankgen | ||
| cmd | ||
| common | ||
| csv | ||
| datagen | ||
| docker-sasl | ||
| fakeidp | ||
| idktest | ||
| internal | ||
| kafka | ||
| kafka_sasl | ||
| kafka_static | ||
| kafkagen | ||
| kinesis | ||
| mds | ||
| sql | ||
| testdata | ||
| .cloud-env.template | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile-fakeIDP | ||
| Dockerfile-test | ||
| Dockerfile-wait | ||
| dup.go | ||
| dup_arm64.go | ||
| file_with_line_delimited_values | ||
| header.go | ||
| header_test.go | ||
| idallocator.go | ||
| idallocator_test.go | ||
| ingest.go | ||
| ingest_test.go | ||
| interfaces.go | ||
| interfaces_test.go | ||
| Makefile | ||
| metrics.go | ||
| pilosa-sec-test.conf | ||
| postgres.go | ||
| progress.go | ||
| README.md | ||
| reingest_test.sh | ||
| sample.csv | ||
| test_postgres.go | ||
| tls.go | ||
| util.go | ||
| util_test.go | ||
| version.go | ||
| wait.sh | ||
idk: Ingest Development Kit
Integration tests
To run the tests, you will need to install the following dependencies:
In addition to these dependancies, you will need to be added to the moleculacorp Dockerhub account.
First start the test environment. This is a docker-compose environment that includes pilosa and a confluent kafka stack. Run the following to start those services:
make startup
To build and run the integration tests, run:
make test-run
An alternative command to use, if you're running tests locally and want human-friendly output, is:
make test-run-local
With that command you can also specify individual tests to run like this:
make test-run-local TCMD='-run=TestJustThisOne .'
Then to shut down the test environment, run:
make shutdown
You can run all of the previous commands by calling test-all:
make test-all
The previous command is equivalent to running the following:
make startup
sleep 30 # wait for services to come up
make test-run
make shutdown
To run an individual test, you can run the command directly using docker-compose. Note that you must run docker-compose build idk-test for docker to run the latest code. Modify the following as needed:
make startup
docker-compose build idk-test
docker-compose run idk-test /usr/local/go/bin/go test -count=1 -mod=vendor -run=TestCmdMainOne ./kafka
To shutdown and reset the environment:
make clean
Running dependencies locally (rather than in docker) "make test-local"
This is for running the tests locally and not in Docker... so you have to be running a bunch of stuff natively on your machine.
Run Pilosa with default config:
pilosa server
Run another pilosa like
pilosa server --config=pilosa-sec-test.conf
which will run Pilosa with TLS using certs in testenv. (make testenv first if you haven't).
You also need to be running the Confluent stack which, after you've installed it from Confluent's site might look something like:
export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_66.jdk/Contents/Home
confluent local destroy && confluent local start schema-registry
Or it might not! You may not need the first line, but if you have the wrong Java version by default, that's how you set it. The second line may change depending on what version of the confluent stack you get. According to
confluent version
I'm running:
Version: v0.212.0
Git Ref: 2b04985
Use the test-local make target:
make test-local
This sets a number of environment variables (which it prints when you run it), and should set them correctly if you follow the instructions above, but if you're running things on non-default ports you may need to tweak them.
CSV Ingester
- make sure you're running Pilosa (localhost:10101 for these instructions)
molecula-consumer-csv --primary-key-fields=asset_tag -i sample-index --files sample.csv
asset_tag__String,fan_time__RecordTime_2006-01-02,fan_val__String_F_YMD
ABCD,2019-01-02,70%
ABCD,2019-01-03,20%
ABCD,2019-01-04,30%
BEDF,2019-01-02,70%
BEDF,2019-01-05,90%
BEDF,2019-01-08,10%
BEDF,2019-01-08,20%
ABCD,2019-01-30,40%
Datagen
Datagen is an internal command-line tool to generate various application-specific datasets, and ingest them directly into Pilosa. After running make install, run datagen with no arguments to see a list of available "sources".
When running Datagen with local Docker stacks, make sure to add individual docker stacks to the /etc/hosts file:
127.0.0.1 kafka
127.0.0.1 pilosa
127.0.0.1 <docker stack>
ODBC Support
By default, the SQL ingester is not built with ODBC support.
This is because it uses CGO with extra dependencies, and the resulting binaries are not portable.
In order to build with ODBC support, it is necessary to install unixODBC to the system.
Then run:
make bin/molecula-consumer-sql-odbc
Different Linux distros will store certain libraries in different locations. ODBC uses dynamic library loading to handle drivers, so full static linking of dependencies is not possible. It is therefore necessary to build on a system with the same distro and the same software versions as the target machine.