graphql-engine/server/tests-py/queries/v1/insert/basic/schema_setup.yaml
nizar-m a40bf10b9f run graphql tests on both http and websocket; add parallelism (close #1868) (#1921)
Examples 
1)  `
pytest --hge-urls "http://127.0.0.1:8080" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests" -vv
`
2)  `pytest --hge-urls "http://127.0.0.1:8080"   "http://127.0.0.1:8081" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests"  "postgresql://admin@127.0.0.1:5432/hge_tests2" -vv
`
### Solution and Design
<!-- How is this issue solved/fixed? What is the design? -->
<!-- It's better if we elaborate -->
#### Reducing execution time of tests
- The Schema setup and teardown, which were earlier done per test method, usually takes around 1 sec. 
- For mutations, the model has now been changed to only do schema setup and teardown once per test class.
-  A data setup and teardown will be done once per test instead (usually takes ~10ms).
- For the test class to get this behaviour, one can can extend the class `DefaultTestMutations`. 
    - The function  `dir()` should be define which returns the location of the configuration folder.
    - Inside the configuration folder, there should be 
        - Files `<conf_dir>/schema_setup.yaml` and `<conf_dir>/schema_teardown.yaml`, which has the metadata query executed during schema setup and teardown respectively
        - Files named `<conf_dir>/values_setup.yaml` and `<conf_dir>/values_teardown.yaml`. These files are executed to setup and remove data from the tables respectively. 

#### Running Graphql queries on both http and websockets
- Each GraphQL query/mutation is run on the both HTTP and websocket protocols
- Pytests test parameterisation is used to achieve this
- The errors over websockets are slightly different from that on HTTP
   - The code takes care of converting the errors in HTTP to errors in websockets

#### Parallel executation of tests.
- The plugin pytest-xdist helps in running tests on parallel workers.
- We are using this plugin to group tests by file and run on different workers.
- Parallel test worker processes operate on separate postgres databases(and separate graphql-engines connected to these databases). Thus tests on one worker will not affect the tests on the other worker.
- With two workers, this decreases execution times by half, as the tests on event triggers usually takes a long time, but does not consume much CPU.
2019-04-08 12:52:38 +05:30

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YAML

type: bulk
args:
#Author table
- type: run_sql
args:
sql: |
create table author(
id serial primary key,
name text unique
);
- type: track_table
args:
schema: public
name: author
#Article table
- type: run_sql
args:
sql: |
CREATE TABLE article (
id SERIAL PRIMARY KEY,
title TEXT,
content TEXT,
author_id INTEGER REFERENCES author(id),
is_published BOOLEAN,
published_on TIMESTAMP
)
- type: track_table
args:
schema: public
name: article
#Order table
- type: run_sql
args:
sql: |
CREATE TABLE orders (
id SERIAL PRIMARY KEY,
placed TIMESTAMPTZ NOT NULL,
shipped TIMESTAMPTZ
)
- type: track_table
args:
schema: public
name: orders
#Object relationship
- type: create_object_relationship
args:
table: article
name: author
using:
foreign_key_constraint_on: author_id
#Array relationship
- type: create_array_relationship
args:
table: author
name: articles
using:
foreign_key_constraint_on:
table: article
column: author_id
#Set timezone
- type: run_sql
args:
sql: |
SET TIME ZONE 'UTC';