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a40bf10b9f
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.
157 lines
3.3 KiB
YAML
157 lines
3.3 KiB
YAML
type: bulk
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args:
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#Author table
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- type: run_sql
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args:
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sql: |
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create table author(
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id serial primary key,
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name text unique
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);
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- type: track_table
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args:
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schema: public
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name: author
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#Article table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE article (
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id SERIAL PRIMARY KEY,
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title TEXT,
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content TEXT,
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author_id INTEGER REFERENCES author(id),
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is_published BOOLEAN,
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published_on TIMESTAMP
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)
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- type: track_table
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args:
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schema: public
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name: article
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#Person table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE person (
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id SERIAL PRIMARY KEY,
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details JSONB NOT NULL
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)
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- type: track_table
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args:
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schema: public
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name: person
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#Order table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE orders (
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id SERIAL PRIMARY KEY,
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placed TIMESTAMPTZ NOT NULL,
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shipped TIMESTAMPTZ
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)
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- type: track_table
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args:
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schema: public
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name: orders
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#Object relationship
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- type: create_object_relationship
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args:
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table: article
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name: author
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using:
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foreign_key_constraint_on: author_id
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#Array relationship
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- type: create_array_relationship
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args:
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table: author
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name: articles
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using:
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foreign_key_constraint_on:
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table: article
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column: author_id
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- type: run_sql
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args:
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sql: |
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CREATE TYPE complex AS (
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r double precision,
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i double precision
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);
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- type: run_sql
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args:
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sql: |
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CREATE TYPE inventory_item AS (
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name text,
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supplier_id integer,
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price numeric
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);
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#Test table with different types
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- type: run_sql
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args:
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sql: |
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create table test_types (
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c1_smallint smallint,
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c2_integer integer,
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c3_bigint bigint,
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c4_decimal decimal (5, 2),
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c5_numeric numeric (4, 3),
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c6_real real,
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c7_double_precision double precision,
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c8_smallserial smallserial primary key,
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c9_serial serial,
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c10_bigserial bigserial,
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c11_varchar_3 varchar(3),
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c12_char_4 char(4),
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c13_text text,
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c14_timestamp timestamp,
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c15_timestamptz timestamptz,
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c16_date date,
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c17_time time,
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c18_time_with_zone time with time zone,
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c19_interval interval,
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c20_boolean boolean,
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c21_point point,
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c22_line line,
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c23_lseg lseg,
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c24_box box,
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c25_closed_path path,
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c26_open_path path,
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c27_polygon polygon,
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c28_circle circle,
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c29_cidr cidr,
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c30_inet inet,
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c31_macaddr macaddr,
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c32_json json,
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c33_jsonb jsonb,
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c34_text_array text[],
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c35_integer_2d_array integer[][],
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c36_uuid uuid,
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c37_composite_type_complex complex,
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c38_composite_type_inventory inventory_item,
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c39_range_integer int4range,
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c40_range_bigint int8range,
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c41_range_numeric numrange,
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c42_range_timestamp tsrange,
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c43_range_timestamptz tstzrange,
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c44_xml xml
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);
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- type: track_table
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args:
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schema: public
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name: test_types
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#Set timezone
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- type: run_sql
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args:
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sql: |
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SET TIME ZONE 'UTC';
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