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postgres_types.rs
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postgres_types.rs
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use super::test_api::*;
use datamodel::ScalarType;
use indoc::indoc;
use pretty_assertions::assert_eq;
use serde_json::json;
use test_macros::test_each_connector;
const CREATE_TYPES_TABLE: &str = indoc! {
r##"
CREATE TABLE "prisma-tests"."types" (
id SERIAL PRIMARY KEY,
numeric_int2 int2,
numeric_int4 int4,
numeric_int8 int8,
numeric_decimal decimal(8, 4),
numeric_float4 float4,
numeric_float8 float8,
numeric_serial2 serial2,
numeric_serial4 serial4,
numeric_serial8 serial8,
numeric_money money,
numeric_oid oid,
string_char char(8),
string_varchar varchar(20),
string_text text,
binary_bytea bytea,
binary_bits bit(7),
binary_bits_varying bit varying(80),
binary_uuid uuid,
time_timestamp timestamp,
time_timestamptz timestamptz,
time_date date,
time_time time,
time_timetz timetz,
time_interval interval,
boolean_boolean boolean,
network_cidr cidr,
network_inet inet,
network_mac macaddr,
search_tsvector tsvector,
search_tsquery tsquery,
json_json json,
json_jsonb jsonb,
range_int4range int4range,
range_int8range int8range,
range_numrange numrange,
range_tsrange tsrange,
range_tstzrange tstzrange,
range_daterange daterange
);
"##
};
#[test_each_connector(tags("postgres"), log = "debug")]
async fn postgres_types_roundtrip(api: &TestApi) -> TestResult {
api.execute_sql(CREATE_TYPES_TABLE).await?;
let (datamodel, engine) = api.introspect_and_start_query_engine().await?;
datamodel.assert_model("types", |model| {
model
.assert_field_type("numeric_int2", ScalarType::Int)?
.assert_field_type("numeric_int4", ScalarType::Int)?
.assert_field_type("numeric_int8", ScalarType::Int)?
.assert_field_type("numeric_decimal", ScalarType::Float)?
.assert_field_type("numeric_float4", ScalarType::Float)?
.assert_field_type("numeric_float8", ScalarType::Float)?
.assert_field_type("numeric_serial2", ScalarType::Int)?
.assert_field_type("numeric_serial4", ScalarType::Int)?
.assert_field_type("numeric_serial8", ScalarType::Int)?
.assert_field_type("numeric_money", ScalarType::Float)?
.assert_field_type("numeric_oid", ScalarType::Int)?
.assert_field_type("string_char", ScalarType::String)?
.assert_field_type("string_varchar", ScalarType::String)?
.assert_field_type("string_text", ScalarType::String)?
.assert_field_type("binary_bytea", ScalarType::String)?
.assert_field_type("binary_bits", ScalarType::String)?
.assert_field_type("binary_bits_varying", ScalarType::String)?
.assert_field_type("binary_uuid", ScalarType::String)?
.assert_field_type("time_timestamp", ScalarType::DateTime)?
.assert_field_type("time_timestamptz", ScalarType::DateTime)?
.assert_field_type("time_date", ScalarType::DateTime)?
.assert_field_type("time_time", ScalarType::DateTime)?
.assert_field_type("time_timetz", ScalarType::DateTime)?
.assert_field_type("time_interval", ScalarType::String)?
.assert_field_type("boolean_boolean", ScalarType::Boolean)?
.assert_field_type("network_cidr", ScalarType::String)?
.assert_field_type("network_inet", ScalarType::String)?
.assert_field_type("network_mac", ScalarType::String)?
.assert_field_type("search_tsvector", ScalarType::String)?
.assert_field_type("search_tsquery", ScalarType::String)?
.assert_field_type("json_json", ScalarType::String)?
.assert_field_type("json_jsonb", ScalarType::String)?
.assert_field_type("range_int4range", ScalarType::String)?
.assert_field_type("range_int8range", ScalarType::String)?
.assert_field_type("range_numrange", ScalarType::String)?
.assert_field_type("range_tsrange", ScalarType::String)?
.assert_field_type("range_tstzrange", ScalarType::String)?
.assert_field_type("range_daterange", ScalarType::String)
})?;
let query = indoc! {
r##"
mutation {
createOnetypes(
data: {
numeric_int2: 12
numeric_int4: 9002
numeric_int8: 100000000
numeric_decimal: 49.3444
numeric_float4: 12.12
numeric_float8: 3.139428
numeric_serial2: 8,
numeric_serial4: 80,
numeric_serial8: 80000,
numeric_money: 3.50
numeric_oid: 2000
string_char: "yeet"
string_varchar: "yeet variable"
string_text: "to yeet or not to yeet"
binary_bits: "0101110"
binary_bits_varying: "0101110"
# binary_bytea: "test"
binary_uuid: "111142ec-880b-4062-913d-8eac479ab957"
time_timestamp: "2020-03-02T08:00:00.000"
time_timestamptz: "2020-03-02T08:00:00.000"
time_date: "2020-03-05T00:00:00.000"
time_time: "2020-03-05T08:00:00.000"
time_timetz: "2020-03-05T08:00:00.000"
# time_interval: "3 hours"
boolean_boolean: true
# network_cidr: "192.168.100.14/24"
network_inet: "192.168.100.14"
# network_mac: "12:33:ed:44:49:36"
# search_tsvector: "''a'' ''dump'' ''dumps'' ''fox'' ''in'' ''the''"
# search_tsquery: "''foxy cat''"
json_json: "{ \"isJson\": true }"
json_jsonb: "{ \"isJSONB\": true }"
# range_int4range: "[-4, 8)"
# range_int8range: "[4000, 9000)"
# range_numrange: "[11.1, 22.2)"
# range_tsrange: "[2010-01-01 14:30, 2010-01-01 15:30)"
# range_tstzrange: "[2010-01-01 14:30, 2010-01-01 15:30)"
# range_daterange: "[2020-03-02, 2020-03-22)"
}
) {
numeric_int2
numeric_int4
numeric_int8
numeric_decimal
numeric_float4
numeric_float8
numeric_serial2
numeric_serial4
numeric_serial8
numeric_money
numeric_oid
string_char
string_varchar
string_text
# binary_bytea
binary_bits
binary_bits_varying
binary_uuid
time_timestamp
time_timestamptz
time_date
time_time
time_timetz
# time_interval
boolean_boolean
# network_cidr
network_inet
# network_mac
# search_tsvector
# search_tsquery
json_json
json_jsonb
# range_int4range
# range_int8range
# range_numrange
# range_tsrange
# range_tstzrange
# range_daterange
}
}
"##
};
let response = engine.request(query).await;
let expected_response = json!({
"data": {
"createOnetypes": {
"numeric_int2": 12,
"numeric_int4": 9002,
"numeric_int8": 100000000,
"numeric_serial2": 8,
"numeric_serial4": 80,
"numeric_serial8": 80000,
"numeric_decimal": 49.3444,
"numeric_float4": 12.12,
"numeric_float8": 3.139428,
"numeric_money": 3.5,
"numeric_oid": 2000,
"string_char": "yeet ",
"string_varchar": "yeet variable",
"string_text": "to yeet or not to yeet",
"binary_bits": "0101110",
"binary_bits_varying": "0101110",
"binary_uuid": "111142ec-880b-4062-913d-8eac479ab957",
"time_timestamp": "2020-03-02T08:00:00.000Z",
"time_timestamptz": "2020-03-02T08:00:00.000Z",
"time_date": "2020-03-05T00:00:00.000Z",
"time_time": "1970-01-01T08:00:00.000Z",
"time_timetz": "1970-01-01T08:00:00.000Z",
"boolean_boolean": true,
"network_inet": "192.168.100.14",
"json_json": "{\"isJson\":true}",
"json_jsonb": "{\"isJSONB\":true}",
}
}
});
assert_eq!(response, expected_response);
Ok(())
}
#[test_each_connector(tags("postgres"), log = "debug")]
async fn small_float_values_must_work(api: &TestApi) -> TestResult {
let schema = indoc! {
r#"
CREATE TABLE floatilla (
id SERIAL PRIMARY KEY,
f32 float4,
f64 float8,
decimal_column decimal
);
"#
};
api.execute_sql(schema).await?;
let (datamodel, engine) = api.introspect_and_start_query_engine().await?;
datamodel.assert_model("floatilla", |model| {
model
.assert_field_type("f32", ScalarType::Float)?
.assert_field_type("f64", ScalarType::Float)?
.assert_field_type("decimal_column", ScalarType::Float)
})?;
let query = indoc! {
r##"
mutation {
createOnefloatilla(
data: {
f32: 0.00006927,
f64: 0.00006927,
decimal_column: 0.00006927
}
) {
id
f32
f64
decimal_column
}
}
"##
};
let response = engine.request(query).await;
let expected_response = json!({
"data": {
"createOnefloatilla": {
"id": 1,
"f32": 0.00006927,
"f64": 0.00006927,
"decimal_column": 0.00006927
}
}
});
assert_eq!(response, expected_response);
Ok(())
}
const CREATE_ARRAY_TYPES_TABLE: &str = indoc! {
r##"
CREATE TABLE "prisma-tests"."arraytypes" (
id SERIAL PRIMARY KEY,
numeric_int2 int2[],
numeric_int4 int4[],
numeric_int8 int8[],
numeric_decimal decimal(8, 4)[],
numeric_float4 float4[],
numeric_float8 float8[],
numeric_money money[],
numeric_oid oid[],
string_char char(8)[],
string_varchar varchar(20)[],
string_text text[],
binary_bytea bytea[],
binary_bits bit(8)[],
binary_bits_varying bit varying(80)[],
binary_uuid uuid[],
time_timestamp timestamp[],
time_timestamptz timestamptz[],
time_date date[],
time_time time[],
time_timetz timetz[],
boolean_boolean boolean[],
network_cidr cidr[],
network_inet inet[],
json_json json[],
json_jsonb jsonb[]
);
"##
};
#[test_each_connector(tags("postgres"), log = "debug")]
async fn postgres_array_types_roundtrip(api: &TestApi) -> TestResult {
api.execute_sql(CREATE_ARRAY_TYPES_TABLE).await?;
let (datamodel, engine) = api.introspect_and_start_query_engine().await?;
datamodel.assert_model("arraytypes", |model| {
model
.assert_field_type("numeric_int2", ScalarType::Int)?
.assert_field_type("numeric_int4", ScalarType::Int)?
.assert_field_type("numeric_int8", ScalarType::Int)?
.assert_field_type("numeric_decimal", ScalarType::Float)?
.assert_field_type("numeric_float4", ScalarType::Float)?
.assert_field_type("numeric_float8", ScalarType::Float)?
.assert_field_type("numeric_money", ScalarType::Float)?
.assert_field_type("numeric_oid", ScalarType::Int)?
.assert_field_type("string_char", ScalarType::String)?
.assert_field_type("string_varchar", ScalarType::String)?
.assert_field_type("string_text", ScalarType::String)?
.assert_field_type("binary_bytea", ScalarType::String)?
.assert_field_type("binary_bits", ScalarType::String)?
.assert_field_type("binary_bits_varying", ScalarType::String)?
.assert_field_type("binary_uuid", ScalarType::String)?
.assert_field_type("time_timestamp", ScalarType::DateTime)?
.assert_field_type("time_timestamptz", ScalarType::DateTime)?
.assert_field_type("time_date", ScalarType::DateTime)?
.assert_field_type("time_time", ScalarType::DateTime)?
.assert_field_type("time_timetz", ScalarType::DateTime)?
.assert_field_type("boolean_boolean", ScalarType::Boolean)?
.assert_field_type("network_inet", ScalarType::String)?
.assert_field_type("json_json", ScalarType::String)?
.assert_field_type("json_jsonb", ScalarType::String)
})?;
let query = indoc! {
r##"
mutation {
createOnearraytypes(
data: {
numeric_int2: { set: [12] }
numeric_int4: { set: [9002] }
numeric_int8: { set: [100000000] }
numeric_decimal: { set: [49.3444] }
numeric_float4: { set: [12.12] }
numeric_float8: { set: [3.139428] }
numeric_money: { set: [3.50] }
numeric_oid: { set: [2000] }
string_char: { set: ["yeet"] }
string_varchar: { set: ["yeet variable"] }
string_text: { set: ["to yeet or not to yeet"] }
binary_bits: { set: ["10100011"] }
binary_bits_varying: { set: ["01000"] }
binary_uuid: { set: ["111142ec-880b-4062-913d-8eac479ab957"] }
time_timestamp: { set: ["2020-03-02T08:00:00.000"] }
time_timestamptz: { set: ["2020-03-02T08:00:00.000"] }
time_date: { set: ["2020-03-05T00:00:00.000"] }
time_time: { set: ["2020-03-05T08:00:00.000"] }
time_timetz: { set: ["2020-03-05T08:00:00.000"] }
boolean_boolean: { set: [true, true, false, true] }
network_inet: { set: ["192.168.100.14"] }
json_json: { set: ["{ \"isJson\": true }"] }
json_jsonb: { set: ["{ \"isJSONB\": true }"] }
}
) {
numeric_int2
numeric_int4
numeric_int8
numeric_decimal
numeric_float4
numeric_float8
numeric_money
numeric_oid
string_char
string_varchar
string_text
binary_bits
binary_bits_varying
binary_uuid
time_timestamp
time_timestamptz
time_date
time_time
time_timetz
boolean_boolean
network_inet
json_json
json_jsonb
}
}
"##
};
let response = engine.request(query).await;
let expected_response = json!({
"data": {
"createOnearraytypes": {
"numeric_int2": [12],
"numeric_int4": [9002],
"numeric_int8": [100000000],
"numeric_decimal": [49.3444],
"numeric_float4": [12.12],
"numeric_float8": [3.139428],
"numeric_money": [3.5],
"numeric_oid": [2000],
"string_char": ["yeet "],
"string_varchar": ["yeet variable"],
"string_text": ["to yeet or not to yeet"],
"binary_bits": ["10100011"],
"binary_bits_varying": ["01000"],
"binary_uuid": ["111142ec-880b-4062-913d-8eac479ab957"],
"time_timestamp": ["2020-03-02T08:00:00.000Z"],
"time_timestamptz": ["2020-03-02T08:00:00.000Z"],
"time_date": ["2020-03-05T00:00:00.000Z"],
"time_time": ["1970-01-01T08:00:00.000Z"],
"time_timetz": ["1970-01-01T08:00:00.000Z"],
"boolean_boolean": [true, true, false, true],
"network_inet": ["192.168.100.14"],
"json_json": ["{\"isJson\":true}"],
"json_jsonb": ["{\"isJSONB\":true}"],
}
}
});
assert_eq!(response, expected_response);
Ok(())
}