graphql-engine/server/tests-py/queries/graphql_mutation/insert/views/schema_setup.yaml

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type: bulk
args:
#Author table
- type: run_sql
args:
sql: |
create table author(
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 10:22:38 +03:00
id serial primary key,
name text unique,
is_registered boolean not null default false
);
CREATE TABLE article (
id SERIAL PRIMARY KEY,
title TEXT,
content TEXT,
author_id INTEGER REFERENCES author(id),
is_published BOOLEAN,
published_on TIMESTAMP
);
create view author_simple as
select * from author;
create view author_complex as
select a.id as author_id, b.title as article_title
from author a join article b on (a.id = b.author_id);
- type: track_table
args:
schema: public
name: author
#Article table
- type: track_table
args:
schema: public
name: article
#Create author simple view
- type: track_table
args:
schema: public
name: author_simple
#Create author complex view
- type: track_table
args:
schema: public
name: author_complex
#Create object relations on views
- type: create_object_relationship
args:
table: article
name: author_simple
using:
manual_configuration:
remote_table: author_simple
column_mapping:
author_id: id
- type: create_object_relationship
args:
table: article
name: author_complex
using:
manual_configuration:
remote_table: author_complex
column_mapping:
author_id: author_id