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test_fakes.py
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test_fakes.py
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from __future__ import annotations
# ruff: noqa: E501
# pyright: reportOptionalMemberAccess=false
import datetime
import json
import re
import tempfile
from decimal import Decimal
import pandas as pd
import pytest
import pytz
import snowflake.connector
import snowflake.connector.cursor
import snowflake.connector.pandas_tools
from pandas.testing import assert_frame_equal
from snowflake.connector.cursor import ResultMetadata
from snowflake.connector.errors import ProgrammingError
import fakesnow
from tests.utils import dindent, indent
def test_alias_on_join(conn: snowflake.connector.SnowflakeConnection):
*_, cur = conn.execute_string(
"""
CREATE OR REPLACE TEMPORARY TABLE TEST (COL VARCHAR);
INSERT INTO TEST (COL) VALUES ('VARCHAR1'), ('VARCHAR2');
CREATE OR REPLACE TEMPORARY TABLE JOINED (COL VARCHAR, ANOTHER VARCHAR);
INSERT INTO JOINED (COL, ANOTHER) VALUES ('CHAR1', 'JOIN');
SELECT
T.COL
, SUBSTR(T.COL, 4) AS ALIAS
, J.ANOTHER
FROM TEST AS T
LEFT JOIN JOINED AS J
ON ALIAS = J.COL;
"""
)
assert cur.fetchall() == [("VARCHAR1", "CHAR1", "JOIN"), ("VARCHAR2", "CHAR2", None)]
def test_alter_table(dcur: snowflake.connector.cursor.SnowflakeCursor):
dcur.execute("create table table1 (id int)")
dcur.execute("alter table table1 add column name varchar(20)")
dcur.execute("select name from table1")
assert dcur.execute("alter table table1 cluster by (name)").fetchall() == [
{"status": "Statement executed successfully."}
]
def test_array_size(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("""select array_size(parse_json('["a","b"]'))""")
assert cur.fetchall() == [(2,)]
# when json is not an array
cur.execute("""select array_size(parse_json('{"a":"b"}'))""")
assert cur.fetchall() == [(None,)]
def test_array_agg(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create table table1 (id number, name varchar)")
values = [(1, "foo"), (2, "bar"), (1, "baz"), (2, "qux")]
dcur.executemany("insert into table1 values (%s, %s)", values)
dcur.execute("select array_agg(name) as names from table1")
assert dindent(dcur.fetchall()) == [{"NAMES": '[\n "foo",\n "bar",\n "baz",\n "qux"\n]'}]
# using over
dcur.execute(
"""
SELECT DISTINCT
ID
, ANOTHER
, ARRAY_AGG(DISTINCT COL) OVER(PARTITION BY ID) AS COLS
FROM (select column1 as ID, column2 as COL, column3 as ANOTHER from
(VALUES (1, 's1', 'c1'),(1, 's2', 'c1'),(1, 's3', 'c1'),(2, 's1', 'c2'), (2,'s2','c2')))
ORDER BY ID
"""
)
assert dindent(dcur.fetchall()) == [
{"ID": 1, "ANOTHER": "c1", "COLS": '[\n "s1",\n "s2",\n "s3"\n]'},
{"ID": 2, "ANOTHER": "c2", "COLS": '[\n "s1",\n "s2"\n]'},
]
def test_array_agg_within_group(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("CREATE TABLE table1 (ID INT, amount INT)")
# two unique ids, for id 1 there are 3 amounts, for id 2 there are 2 amounts
values = [
(2, 40),
(1, 10),
(1, 30),
(2, 50),
(1, 20),
]
dcur.executemany("INSERT INTO TABLE1 VALUES (%s, %s)", values)
dcur.execute("SELECT id, ARRAY_AGG(amount) WITHIN GROUP (ORDER BY amount DESC) amounts FROM table1 GROUP BY id")
rows = dcur.fetchall()
assert dindent(rows) == [
{"ID": 1, "AMOUNTS": "[\n 30,\n 20,\n 10\n]"},
{"ID": 2, "AMOUNTS": "[\n 50,\n 40\n]"},
]
dcur.execute("SELECT id, ARRAY_AGG(amount) WITHIN GROUP (ORDER BY amount ASC) amounts FROM table1 GROUP BY id")
rows = dcur.fetchall()
assert dindent(rows) == [
{"ID": 1, "AMOUNTS": "[\n 10,\n 20,\n 30\n]"},
{"ID": 2, "AMOUNTS": "[\n 40,\n 50\n]"},
]
def test_binding_default_paramstyle(conn: snowflake.connector.SnowflakeConnection):
assert snowflake.connector.paramstyle == "pyformat"
with conn.cursor() as cur:
cur.execute("create table customers (ID int, FIRST_NAME varchar, ACTIVE boolean)")
cur.execute("insert into customers values (%s, %s, %s)", (1, "Jenny", True))
cur.execute("select * from customers")
assert cur.fetchall() == [(1, "Jenny", True)]
def test_binding_default_paramstyle_dict(conn: snowflake.connector.SnowflakeConnection):
assert snowflake.connector.paramstyle == "pyformat"
with conn.cursor() as cur:
cur.execute("create table customers (ID int, FIRST_NAME varchar, ACTIVE boolean)")
cur.execute(
"insert into customers values (%(id)s, %(name)s, %(active)s)", {"id": 1, "name": "Jenny", "active": True}
)
cur.execute("select * from customers")
assert cur.fetchall() == [(1, "Jenny", True)]
def test_binding_qmark(_fakesnow: None):
snowflake.connector.paramstyle = "qmark"
with snowflake.connector.connect(database="db1", schema="schema1") as conn, conn.cursor() as cur:
cur.execute("create table customers (ID int, FIRST_NAME varchar, ACTIVE boolean)")
cur.execute("insert into customers values (?, ?, ?)", (1, "Jenny", True))
cur.execute("select * from customers")
assert cur.fetchall() == [(1, "Jenny", True)]
# this has no effect after connection created, so qmark style still works
snowflake.connector.paramstyle = "pyformat"
cur.execute("select * from customers where id = ?", (1,))
def test_clone(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create table customers (ID int, FIRST_NAME varchar, ACTIVE boolean)")
cur.execute("insert into customers values (1, 'Jenny', True)")
cur.execute("create table customers2 clone db1.schema1.customers")
cur.execute("select * from customers2")
# TODO check tags are copied too
assert cur.fetchall() == [(1, "Jenny", True)]
def test_close_conn(conn: snowflake.connector.SnowflakeConnection, cur: snowflake.connector.cursor.SnowflakeCursor):
assert not conn.is_closed()
conn.close()
with pytest.raises(snowflake.connector.errors.DatabaseError) as excinfo:
conn.execute_string("select 1")
# actual snowflake error message is:
# 250002 (08003): Connection is closed
assert "250002 (08003)" in str(excinfo.value)
assert conn.is_closed()
def test_close_cur(conn: snowflake.connector.SnowflakeConnection, cur: snowflake.connector.cursor.SnowflakeCursor):
assert cur.close() is True
def test_create_database_respects_if_not_exists() -> None:
with tempfile.TemporaryDirectory(prefix="fakesnow-test") as db_path, fakesnow.patch(db_path=db_path):
cursor = snowflake.connector.connect().cursor()
cursor.execute("CREATE DATABASE db2")
with pytest.raises(ProgrammingError, match='Database "DB2" is already attached with path'):
cursor.execute("CREATE DATABASE db2") # Fails as db already exists.
cursor.execute("CREATE DATABASE IF NOT EXISTS db2")
def test_dateadd_date_cast(dcur: snowflake.connector.DictCursor):
q = """
SELECT
dateadd(hour, 1, '2023-04-02'::date) as d_noop,
dateadd(day, 1, '2023-04-02'::date) as d_day,
dateadd(week, 1, '2023-04-02'::date) as d_week,
dateadd(month, 1, '2023-04-02'::date) as d_month,
dateadd(year, 1, '2023-04-02'::date) as d_year
"""
dcur.execute(q)
assert dcur.fetchall() == [
{
"D_NOOP": datetime.datetime(2023, 4, 2, 1, 0),
"D_DAY": datetime.date(2023, 4, 3),
"D_WEEK": datetime.date(2023, 4, 9),
"D_MONTH": datetime.date(2023, 5, 2),
"D_YEAR": datetime.date(2024, 4, 2),
}
]
def test_dateadd_string_literal_timestamp_cast(dcur: snowflake.connector.cursor.DictCursor):
q = """
SELECT
DATEADD('MINUTE', 3, '2023-04-02') AS D_MINUTE,
DATEADD('HOUR', 3, '2023-04-02') AS D_HOUR,
DATEADD('DAY', 3, '2023-04-02') AS D_DAY,
DATEADD('WEEK', 3, '2023-04-02') AS D_WEEK,
DATEADD('MONTH', 3, '2023-04-02') AS D_MONTH,
DATEADD('YEAR', 3, '2023-04-02') AS D_YEAR
;
"""
dcur.execute(q)
assert dcur.fetchall() == [
{
"D_MINUTE": datetime.datetime(2023, 4, 2, 0, 3),
"D_HOUR": datetime.datetime(2023, 4, 2, 3, 0),
"D_DAY": datetime.datetime(2023, 4, 5, 0, 0),
"D_WEEK": datetime.datetime(2023, 4, 23, 0, 0),
"D_MONTH": datetime.datetime(2023, 7, 2, 0, 0),
"D_YEAR": datetime.datetime(2026, 4, 2, 0, 0),
}
]
q = """
SELECT
DATEADD('MINUTE', 3, '2023-04-02 01:15:00') AS DT_MINUTE,
DATEADD('HOUR', 3, '2023-04-02 01:15:00') AS DT_HOUR,
DATEADD('DAY', 3, '2023-04-02 01:15:00') AS DT_DAY,
DATEADD('WEEK', 3, '2023-04-02 01:15:00') AS DT_WEEK,
DATEADD('MONTH', 3, '2023-04-02 01:15:00') AS DT_MONTH,
DATEADD('YEAR', 3, '2023-04-02 01:15:00') AS DT_YEAR
;
"""
dcur.execute(q)
assert dcur.fetchall() == [
{
"DT_MINUTE": datetime.datetime(2023, 4, 2, 1, 18),
"DT_HOUR": datetime.datetime(2023, 4, 2, 4, 15),
"DT_DAY": datetime.datetime(2023, 4, 5, 1, 15),
"DT_WEEK": datetime.datetime(2023, 4, 23, 1, 15),
"DT_MONTH": datetime.datetime(2023, 7, 2, 1, 15),
"DT_YEAR": datetime.datetime(2026, 4, 2, 1, 15),
}
]
def test_datediff_string_literal_timestamp_cast(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("SELECT DATEDIFF(DAY, '2023-04-02', '2023-03-02') AS D")
assert cur.fetchall() == [(-31,)]
cur.execute("SELECT DATEDIFF(HOUR, '2023-04-02', '2023-03-02') AS D")
assert cur.fetchall() == [(-744,)]
cur.execute("SELECT DATEDIFF(week, '2023-04-02', '2023-03-02') AS D")
assert cur.fetchall() == [(-4,)]
# noop
cur.execute("select '2023-04-02'::timestamp as c1, '2023-03-02'::timestamp as c2, DATEDIFF(minute, c1, c2) AS D")
assert cur.fetchall() == [(datetime.datetime(2023, 4, 2, 0, 0), datetime.datetime(2023, 3, 2, 0, 0), -44640)]
def test_current_database_schema(conn: snowflake.connector.SnowflakeConnection):
with conn.cursor(snowflake.connector.cursor.DictCursor) as cur:
cur.execute("select current_database(), current_schema()")
assert cur.fetchall() == [
{"current_database()": "DB1", "current_schema()": "SCHEMA1"},
]
def test_describe(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute(
"""
create or replace table example (
XBOOLEAN BOOLEAN, XDOUBLE DOUBLE, XFLOAT FLOAT,
XNUMBER82 NUMBER(8,2), XNUMBER NUMBER, XDECIMAL DECIMAL, XNUMERIC NUMERIC,
XINT INT, XINTEGER INTEGER, XBIGINT BIGINT, XSMALLINT SMALLINT, XTINYINT TINYINT, XBYTEINT BYTEINT,
XVARCHAR20 VARCHAR(20), XVARCHAR VARCHAR, XTEXT TEXT,
XTIMESTAMP TIMESTAMP, XTIMESTAMP_NTZ TIMESTAMP_NTZ, XTIMESTAMP_NTZ9 TIMESTAMP_NTZ(9), XTIMESTAMP_TZ TIMESTAMP_TZ, XDATE DATE, XTIME TIME,
XBINARY BINARY, /* XARRAY ARRAY, XOBJECT OBJECT */ XVARIANT VARIANT
)
"""
)
# fmt: off
expected_metadata = [
ResultMetadata(name='XBOOLEAN', type_code=13, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
# TODO: is_nullable should be False for non-boolean columns
ResultMetadata(name='XDOUBLE', type_code=1, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XFLOAT', type_code=1, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XNUMBER82', type_code=0, display_size=None, internal_size=None, precision=8, scale=2, is_nullable=True),
ResultMetadata(name='XNUMBER', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XDECIMAL', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XNUMERIC', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XINT', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XINTEGER', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XBIGINT', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XSMALLINT', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XTINYINT', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='XBYTEINT', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
# TODO: store actual size, ie: internal_size=20
ResultMetadata(name='XVARCHAR20', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XVARCHAR', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XTEXT', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XTIMESTAMP', type_code=8, display_size=None, internal_size=None, precision=0, scale=9, is_nullable=True),
ResultMetadata(name='XTIMESTAMP_NTZ', type_code=8, display_size=None, internal_size=None, precision=0, scale=9, is_nullable=True),
ResultMetadata(name='XTIMESTAMP_NTZ9', type_code=8, display_size=None, internal_size=None, precision=0, scale=9, is_nullable=True),
ResultMetadata(name='XTIMESTAMP_TZ', type_code=7, display_size=None, internal_size=None, precision=0, scale=9, is_nullable=True),
ResultMetadata(name='XDATE', type_code=3, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XTIME', type_code=12, display_size=None, internal_size=None, precision=0, scale=9, is_nullable=True),
ResultMetadata(name='XBINARY', type_code=11, display_size=None, internal_size=8388608, precision=None, scale=None, is_nullable=True),
# TODO: handle ARRAY and OBJECT see https://github.com/tekumara/fakesnow/issues/26
# ResultMetadata(name='XARRAY', type_code=10, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True),
# ResultMetadata(name='XOBJECT', type_code=9, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name='XVARIANT', type_code=5, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
]
# fmt: on
assert cur.describe("select * from example") == expected_metadata
cur.execute("select * from example")
assert cur.description == expected_metadata
# test with params
assert cur.describe("select * from example where XNUMBER = %s", (1,)) == expected_metadata
cur.execute("select * from example where XNUMBER = %s", (1,))
assert cur.description == expected_metadata
# test semi-structured ops return variant ie: type_code=5
# fmt: off
assert (
cur.describe("SELECT ['A', 'B'][0] as array_index, OBJECT_CONSTRUCT('k','v1')['k'] as object_key, ARRAY_CONSTRUCT('foo')::VARIANT[0] as variant_key")
== [
# NB: snowflake returns internal_size = 16777216 for all columns
ResultMetadata(name="ARRAY_INDEX", type_code=5, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name="OBJECT_KEY", type_code=5, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True),
ResultMetadata(name="VARIANT_KEY", type_code=5, display_size=None, internal_size=None, precision=None, scale=None, is_nullable=True)
]
)
# fmt: on
def test_describe_table(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute(
"""
create or replace table example (
XBOOLEAN BOOLEAN, XDOUBLE DOUBLE, XFLOAT FLOAT,
XNUMBER82 NUMBER(8,2), XNUMBER NUMBER, XDECIMAL DECIMAL, XNUMERIC NUMERIC,
XINT INT, XINTEGER INTEGER, XBIGINT BIGINT, XSMALLINT SMALLINT, XTINYINT TINYINT, XBYTEINT BYTEINT,
XVARCHAR20 VARCHAR(20), XVARCHAR VARCHAR, XTEXT TEXT,
XTIMESTAMP TIMESTAMP, XTIMESTAMP_NTZ TIMESTAMP_NTZ, XTIMESTAMP_NTZ9 TIMESTAMP_NTZ(9), XTIMESTAMP_TZ TIMESTAMP_TZ, XDATE DATE, XTIME TIME,
XBINARY BINARY, /* XARRAY ARRAY, XOBJECT OBJECT */ XVARIANT VARIANT
)
"""
)
# this table's columns shouldn't appear when describing the example table
dcur.execute("create table derived as select XVARCHAR20 from example")
common = {
"kind": "COLUMN",
"null?": "Y",
"default": None,
"primary key": "N",
"unique key": "N",
"check": None,
"expression": None,
"comment": None,
"policy name": None,
"privacy domain": None,
}
expected = [
{"name": "XBOOLEAN", "type": "BOOLEAN", **common},
{"name": "XDOUBLE", "type": "FLOAT", **common},
{"name": "XFLOAT", "type": "FLOAT", **common},
{"name": "XNUMBER82", "type": "NUMBER(8,2)", **common},
{"name": "XNUMBER", "type": "NUMBER(38,0)", **common},
{"name": "XDECIMAL", "type": "NUMBER(38,0)", **common},
{"name": "XNUMERIC", "type": "NUMBER(38,0)", **common},
{"name": "XINT", "type": "NUMBER(38,0)", **common},
{"name": "XINTEGER", "type": "NUMBER(38,0)", **common},
{"name": "XBIGINT", "type": "NUMBER(38,0)", **common},
{"name": "XSMALLINT", "type": "NUMBER(38,0)", **common},
{"name": "XTINYINT", "type": "NUMBER(38,0)", **common},
{"name": "XBYTEINT", "type": "NUMBER(38,0)", **common},
{"name": "XVARCHAR20", "type": "VARCHAR(20)", **common},
{"name": "XVARCHAR", "type": "VARCHAR(16777216)", **common},
{"name": "XTEXT", "type": "VARCHAR(16777216)", **common},
{"name": "XTIMESTAMP", "type": "TIMESTAMP_NTZ(9)", **common},
{"name": "XTIMESTAMP_NTZ", "type": "TIMESTAMP_NTZ(9)", **common},
{"name": "XTIMESTAMP_NTZ9", "type": "TIMESTAMP_NTZ(9)", **common},
{"name": "XTIMESTAMP_TZ", "type": "TIMESTAMP_TZ(9)", **common},
{"name": "XDATE", "type": "DATE", **common},
{"name": "XTIME", "type": "TIME(9)", **common},
{"name": "XBINARY", "type": "BINARY(8388608)", **common},
{"name": "XVARIANT", "type": "VARIANT", **common},
]
assert dcur.execute("describe table example").fetchall() == expected
assert dcur.execute("describe table schema1.example").fetchall() == expected
assert dcur.execute("describe table db1.schema1.example").fetchall() == expected
assert [r.name for r in dcur.description] == [
"name",
"type",
"kind",
"null?",
"default",
"primary key",
"unique key",
"check",
"expression",
"comment",
"policy name",
"privacy domain",
]
assert dcur.execute("describe table db1.schema1.derived").fetchall() == [
# TODO: preserve varchar size when derived - this should be VARCHAR(20)
{"name": "XVARCHAR20", "type": "VARCHAR(16777216)", **common},
]
with pytest.raises(snowflake.connector.errors.ProgrammingError) as excinfo:
dcur.execute("describe table this_does_not_exist")
# TODO: actual snowflake error is:
# 002003 (42S02): SQL compilation error:
# Table 'THIS_DOES_NOT_EXIST' does not exist or not authorized.
assert "002003 (42S02): Catalog Error: Table with name THIS_DOES_NOT_EXIST does not exist!" in str(excinfo.value)
def test_describe_view(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute(
"""
create or replace table example (
XVARCHAR VARCHAR
-- ,XVARCHAR20 VARCHAR(20) -- TODO: preserve varchar size
)
"""
)
common = {
"kind": "COLUMN",
"null?": "Y",
"default": None,
"primary key": "N",
"unique key": "N",
"check": None,
"expression": None,
"comment": None,
"policy name": None,
"privacy domain": None,
}
expected = [
{"name": "XVARCHAR", "type": "VARCHAR(16777216)", **common},
# TODO: preserve varchar size
# {"name": "XVARCHAR20", "type": "VARCHAR(20)", **common},
]
dcur.execute("create view v1 as select * from example")
assert dcur.execute("describe view v1").fetchall() == expected
assert [r.name for r in dcur.description] == [
"name",
"type",
"kind",
"null?",
"default",
"primary key",
"unique key",
"check",
"expression",
"comment",
"policy name",
"privacy domain",
]
## descriptions are needed for ipython-sql/jupysql which describes every statement
def test_description_create_drop_database(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create database example")
assert dcur.fetchall() == [{"status": "Database EXAMPLE successfully created."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
# TODO: support drop database
# dcur.execute("drop database example")
# assert dcur.fetchall() == [{"status": "EXAMPLE successfully dropped."}]
# assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
def test_description_create_drop_schema(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create schema example")
assert dcur.fetchall() == [{"status": "Schema EXAMPLE successfully created."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
# drop current schema
dcur.execute("drop schema schema1")
assert dcur.fetchall() == [{"status": "SCHEMA1 successfully dropped."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
def test_description_create_alter_drop_table(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create table example (x int)")
assert dcur.fetchall() == [{"status": "Table EXAMPLE successfully created."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
dcur.execute("alter table example add column name varchar(20)")
assert dcur.fetchall() == [{"status": "Statement executed successfully."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
dcur.execute("drop table example")
assert dcur.fetchall() == [{"status": "EXAMPLE successfully dropped."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
def test_description_create_drop_view(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create view example(id) as select 1")
assert dcur.fetchall() == [{"status": "View EXAMPLE successfully created."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
dcur.execute("drop view example")
assert dcur.fetchall() == [{"status": "EXAMPLE successfully dropped."}]
assert dcur.description == [ResultMetadata(name='status', type_code=2, display_size=None, internal_size=16777216, precision=None, scale=None, is_nullable=True)] # fmt: skip
def test_description_insert(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create table example (x int)")
dcur.execute("insert into example values (1), (2)")
assert dcur.fetchall() == [{"number of rows inserted": 2}]
# TODO: Snowflake is actually precision=19, is_nullable=False
assert dcur.description == [ResultMetadata(name='number of rows inserted', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True)] # fmt: skip
def test_description_update(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create table example (x int)")
dcur.execute("insert into example values (1), (2), (3)")
dcur.execute("update example set x=420 where x > 1")
assert dcur.fetchall() == [{"number of rows updated": 2, "number of multi-joined rows updated": 0}]
# TODO: Snowflake is actually precision=19, is_nullable=False
# fmt: off
assert dcur.description == [
ResultMetadata(name='number of rows updated', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
ResultMetadata(name='number of multi-joined rows updated', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True)
]
# fmt: on
def test_description_delete(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("create table example (x int)")
dcur.execute("insert into example values (1), (2), (3)")
dcur.execute("delete from example where x>1")
assert dcur.fetchall() == [{"number of rows deleted": 2}]
# TODO: Snowflake is actually precision=19, is_nullable=False
# fmt: off
assert dcur.description == [
ResultMetadata(name='number of rows deleted', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
]
# fmt: on
def test_description_select(dcur: snowflake.connector.cursor.DictCursor):
dcur.execute("SELECT DATEDIFF( DAY, '2023-04-02'::DATE, '2023-04-05'::DATE) as days")
assert dcur.fetchall() == [{"DAYS": 3}]
# TODO: Snowflake is actually precision=9, is_nullable=False
# fmt: off
assert dcur.description == [
ResultMetadata(name='DAYS', type_code=0, display_size=None, internal_size=None, precision=38, scale=0, is_nullable=True),
]
# fmt: on
def test_equal_null(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("select equal_null(NULL, NULL), equal_null(1, 1), equal_null(1, 2), equal_null(1, NULL)")
assert cur.fetchall() == [(True, True, False, False)]
def test_executemany(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
customers = [(1, "Jenny", "P"), (2, "Jasper", "M")]
cur.executemany("insert into customers (id, first_name, last_name) values (%s,%s,%s)", customers)
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchall() == customers
def test_execute_string(conn: snowflake.connector.SnowflakeConnection):
*_, cur = conn.execute_string(
"""
create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar);
-- test comments are ignored
select count(*) customers
"""
)
assert cur.fetchall() == [(1,)]
def test_fetchall(conn: snowflake.connector.SnowflakeConnection):
with conn.cursor() as cur:
# no result set
with pytest.raises(TypeError) as _:
cur.fetchall()
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
cur.execute("insert into customers values (2, 'Jasper', 'M')")
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchall() == [(1, "Jenny", "P"), (2, "Jasper", "M")]
assert cur.fetchall() == []
with conn.cursor(snowflake.connector.cursor.DictCursor) as cur:
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchall() == [
{"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"},
{"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"},
]
assert cur.fetchall() == []
def test_fetchone(conn: snowflake.connector.SnowflakeConnection):
with conn.cursor() as cur:
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
cur.execute("insert into customers values (2, 'Jasper', 'M')")
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchone() == (1, "Jenny", "P")
assert cur.fetchone() == (2, "Jasper", "M")
assert cur.fetchone() is None
with conn.cursor(snowflake.connector.cursor.DictCursor) as cur:
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchone() == {"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"}
assert cur.fetchone() == {"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"}
assert cur.fetchone() is None
def test_fetchmany(conn: snowflake.connector.SnowflakeConnection):
with conn.cursor() as cur:
# no result set
with pytest.raises(TypeError) as _:
cur.fetchmany()
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
cur.execute("insert into customers values (2, 'Jasper', 'M')")
cur.execute("insert into customers values (3, 'Jeremy', 'K')")
cur.execute("select id, first_name, last_name from customers")
# mimic jupysql fetchmany behaviour
assert cur.fetchmany(2) == [(1, "Jenny", "P"), (2, "Jasper", "M")]
assert cur.fetchmany(5) == [(3, "Jeremy", "K")]
assert cur.fetchmany(5) == []
with conn.cursor(snowflake.connector.cursor.DictCursor) as cur:
cur.execute("select id, first_name, last_name from customers")
assert cur.fetchmany(2) == [
{"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"},
{"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"},
]
assert cur.fetchmany(5) == [
{"ID": 3, "FIRST_NAME": "Jeremy", "LAST_NAME": "K"},
]
assert cur.fetchmany(5) == []
def test_fetch_pandas_all(cur: snowflake.connector.cursor.SnowflakeCursor):
# no result set
with pytest.raises(snowflake.connector.NotSupportedError) as _:
cur.fetch_pandas_all()
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
cur.execute("insert into customers values (2, 'Jasper', 'M')")
cur.execute("select id, first_name, last_name from customers")
expected_df = pd.DataFrame.from_records(
[
{"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"},
{"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"},
]
)
# integers have dtype int64
assert_frame_equal(cur.fetch_pandas_all(), expected_df)
# can refetch
assert_frame_equal(cur.fetch_pandas_all(), expected_df)
def test_flatten(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute(
"""
select t.id, flat.value:fruit from
(
select 1, parse_json('[{"fruit":"banana"}]')
union
select 2, parse_json('[{"fruit":"coconut"}, {"fruit":"durian"}]')
) as t(id, fruits), lateral flatten(input => t.fruits) AS flat
order by id
"""
# duckdb lateral join order is non-deterministic so order by id
# within an id the order of fruits should match the json array
)
assert cur.fetchall() == [(1, '"banana"'), (2, '"coconut"'), (2, '"durian"')]
def test_flatten_value_cast_as_varchar(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute(
"""
select id, f.value::varchar as v
from (select column1 as id, column2 as col from (values (1, 's1,s2,s3'), (2, 's1,s2'))) as t
, lateral flatten(input => split(t.col, ',')) as f order by id
"""
)
# should be raw string not json string with double quotes
assert cur.fetchall() == [(1, "s1"), (1, "s2"), (1, "s3"), (2, "s1"), (2, "s2")]
def test_floats_are_64bit(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create or replace table example (f float, f4 float4, f8 float8, d double, r real)")
cur.execute("insert into example values (1.23, 1.23, 1.23, 1.23, 1.23)")
cur.execute("select * from example")
# 32 bit floats will return 1.2300000190734863 rather than 1.23
assert cur.fetchall() == [(1.23, 1.23, 1.23, 1.23, 1.23)]
def test_get_path_as_varchar(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("""select parse_json('{"fruit":"banana"}'):fruit""")
assert cur.fetchall() == [('"banana"',)]
# converting json to varchar returns unquoted string
cur.execute("""select parse_json('{"fruit":"banana"}'):fruit::varchar""")
assert cur.fetchall() == [("banana",)]
# nested json
cur.execute("""select get_path(parse_json('{"food":{"fruit":"banana"}}'), 'food.fruit')::varchar""")
assert cur.fetchall() == [("banana",)]
cur.execute("""select parse_json('{"food":{"fruit":"banana"}}'):food.fruit::varchar""")
assert cur.fetchall() == [("banana",)]
cur.execute("""select parse_json('{"food":{"fruit":"banana"}}'):food:fruit::varchar""")
assert cur.fetchall() == [("banana",)]
# json number is varchar
cur.execute("""select parse_json('{"count":42}'):count""")
assert cur.fetchall() == [("42",)]
# lower/upper converts to varchar (ie: no quotes) ¯\_(ツ)_/¯
cur.execute("""select upper(parse_json('{"fruit":"banana"}'):fruit)""")
assert cur.fetchall() == [("BANANA",)]
cur.execute("""select lower(parse_json('{"fruit":"banana"}'):fruit)""")
assert cur.fetchall() == [("banana",)]
# lower/upper converts json number to varchar too
cur.execute("""select upper(parse_json('{"count":"42"}'):count)""")
assert cur.fetchall() == [("42",)]
def test_get_path_precedence(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("select {'K1': {'K2': 1}} as col where col:K1:K2 > 0")
assert indent(cur.fetchall()) == [('{\n "K1": {\n "K2": 1\n }\n}',)]
cur.execute(
"""select parse_json('{"K1": "a", "K2": "b"}') as col, case when col:K1::VARCHAR = 'a' and col:K2::VARCHAR = 'b' then 'yes' end"""
)
assert indent(cur.fetchall()) == [('{\n "K1": "a",\n "K2": "b"\n}', "yes")]
def test_get_result_batches(cur: snowflake.connector.cursor.SnowflakeCursor):
# no result set
assert cur.get_result_batches() is None
cur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
cur.execute("insert into customers values (2, 'Jasper', 'M')")
cur.execute("select id, first_name, last_name from customers")
batches = cur.get_result_batches()
assert batches
rows = [row for batch in batches for row in batch]
assert rows == [(1, "Jenny", "P"), (2, "Jasper", "M")]
assert sum(batch.rowcount for batch in batches) == 2
def test_get_result_batches_dict(dcur: snowflake.connector.cursor.DictCursor):
# no result set
assert dcur.get_result_batches() is None
dcur.execute("create table customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
dcur.execute("insert into customers values (1, 'Jenny', 'P')")
dcur.execute("insert into customers values (2, 'Jasper', 'M')")
dcur.execute("select id, first_name, last_name from customers")
batches = dcur.get_result_batches()
assert batches
rows = [row for batch in batches for row in batch]
assert rows == [
{"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"},
{"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"},
]
assert sum(batch.rowcount for batch in batches) == 2
assert_frame_equal(
batches[0].to_pandas(),
pd.DataFrame.from_records(
[
{"ID": 1, "FIRST_NAME": "Jenny", "LAST_NAME": "P"},
{"ID": 2, "FIRST_NAME": "Jasper", "LAST_NAME": "M"},
]
),
)
def test_identifier(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create or replace table example (x int)")
cur.execute("insert into example values(1)")
cur.execute("select * from identifier('example')")
assert cur.fetchall() == [(1,)]
def test_nop_regexes():
with fakesnow.patch(nop_regexes=["^CALL.*"]), snowflake.connector.connect() as conn, conn.cursor() as cur:
cur.execute("call this_procedure_does_not_exist('foo', 'bar);")
assert cur.fetchall() == [("Statement executed successfully.",)]
def test_non_existent_table_throws_snowflake_exception(cur: snowflake.connector.cursor.SnowflakeCursor):
with pytest.raises(snowflake.connector.errors.ProgrammingError) as _:
cur.execute("select * from this_table_does_not_exist")
def test_object_construct(conn: snowflake.connector.SnowflakeConnection):
with conn.cursor() as cur:
cur.execute("SELECT OBJECT_CONSTRUCT('a',1,'b','BBBB', 'c',null)")
# TODO: strip null within duckdb via python UDF
def strip_none_values(d: dict) -> dict:
return {k: v for k, v in d.items() if v}
result = cur.fetchone()
assert isinstance(result, tuple)
assert strip_none_values(json.loads(result[0])) == json.loads('{\n "a": 1,\n "b": "BBBB"\n}')
with conn.cursor() as cur:
cur.execute("SELECT OBJECT_CONSTRUCT('a', 1, null, 'nulkeyed') as col")
result = cur.fetchone()
assert isinstance(result, tuple)
assert strip_none_values(json.loads(result[0])) == json.loads('{\n "a": 1\n}')
with conn.cursor() as cur:
cur.execute(
"SELECT NULL as col, OBJECT_CONSTRUCT( 'k1', 'v1', 'k2', CASE WHEN ZEROIFNULL(col) + 1 >= 2 THEN 'v2' ELSE NULL END, 'k3', 'v3')"
)
result = cur.fetchone()
assert isinstance(result, tuple)
assert strip_none_values(json.loads(result[1])) == json.loads('{\n "k1": "v1",\n "k3": "v3"\n}')
with conn.cursor() as cur:
cur.execute(
"SELECT 1 as col, OBJECT_CONSTRUCT( 'k1', 'v1', 'k2', CASE WHEN ZEROIFNULL(col) + 1 >= 2 THEN 'v2' ELSE NULL END, 'k3', 'v3')"
)
result = cur.fetchone()
assert isinstance(result, tuple)
assert strip_none_values(json.loads(result[1])) == json.loads(
'{\n "k1": "v1",\n "k2": "v2",\n "k3": "v3"\n}'
)
def test_percentile_cont(conn: snowflake.connector.SnowflakeConnection):
*_, cur = conn.execute_string(
"""
create or replace table aggr(k int, v decimal(10,2));
insert into aggr (k, v) values
(0, 0),
(0, 10),
(0, 20),
(0, 30),
(0, 40),
(1, 10),
(1, 20),
(2, 10),
(2, 20),
(2, 25),
(2, 30),
(3, 60),
(4, NULL);
select k, percentile_cont(0.25) within group (order by v)
from aggr
group by k
order by k;
"""
)
assert cur.fetchall() == [
(0, Decimal("10.00000")),
(1, Decimal("12.50000")),
(2, Decimal("17.50000")),
(3, Decimal("60.00000")),
(4, None),
]
def test_regex(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("select regexp_replace('abc123', '\\\\D', '')")
assert cur.fetchone() == ("123",)
def test_regex_substr(cur: snowflake.connector.cursor.SnowflakeCursor):
# see https://docs.snowflake.com/en/sql-reference/functions/regexp_substr
string1 = "It was the best of times, it was the worst of times."
cur.execute(f"select regexp_substr('{string1}', 'the\\\\W+\\\\w+')")
assert cur.fetchone() == ("the best",)
cur.execute(f"select regexp_substr('{string1}', 'the\\\\W+\\\\w+', 1, 2)")
assert cur.fetchone() == ("the worst",)
cur.execute(f"select regexp_substr('{string1}', 'the\\\\W+(\\\\w+)', 1, 2, 'e', 1)")
assert cur.fetchone() == ("worst",)
def test_random(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("select random(420)")
assert cur.fetchall() == [(-2595895151578578944,)]
cur.execute("select random(420)")
assert cur.fetchall() == [(-2595895151578578944,)]
cur.execute("select random(419)")
assert cur.fetchall() == [(4590143504000221184,)]
assert cur.execute("select random()").fetchall() != cur.execute("select random()").fetchall()
def test_rowcount(cur: snowflake.connector.cursor.SnowflakeCursor):
assert cur.rowcount is None
cur.execute("create or replace table example(id int)")
cur.execute("insert into example select * from (VALUES (1), (2), (3), (4));")
assert cur.rowcount == 4
cur.execute("select * from example where id > 1")
assert cur.rowcount == 3
cur.execute("update example set id = 22 where id > 2")
assert cur.rowcount == 2
def test_sample(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create table example(id int)")
cur.execute("insert into example select * from (VALUES (1), (2), (3), (4));")
cur.execute("select * from example SAMPLE (50) SEED (420)")
# sampling small sizes isn't exact
assert cur.fetchall() == [(1,), (2,), (3,)]
def test_schema_create_and_use(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create schema jaffles")
cur.execute("create table jaffles.customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
cur.execute("use schema jaffles")
# fully qualified works too
cur.execute("use schema db1.jaffles")
cur.execute("insert into customers values (1, 'Jenny', 'P')")
def test_schema_drop(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create schema jaffles")
cur.execute("create table jaffles.customers (ID int, FIRST_NAME varchar, LAST_NAME varchar)")
# dropping schema drops its contents
cur.execute("drop schema jaffles")
def test_semi_structured_types(cur: snowflake.connector.cursor.SnowflakeCursor):
cur.execute("create or replace table semis (emails array, names object, notes variant)")
cur.execute(
"""insert into semis(emails, names, notes) SELECT ['A', 'B'], OBJECT_CONSTRUCT('k','v1'), ARRAY_CONSTRUCT('foo')::VARIANT"""
)
cur.execute(
"""insert into semis(emails, names, notes) SELECT ['C','D'], parse_json('{"k": "v2"}'), parse_json('{"b": "ar"}')"""
)
# results are returned as strings, because the underlying type is JSON (duckdb) / VARIANT (snowflake)
cur.execute("select emails from semis")
assert indent(cur.fetchall()) == [('[\n "A",\n "B"\n]',), ('[\n "C",\n "D"\n]',)]
cur.execute("select emails[0] from semis")
assert cur.fetchall() == [('"A"',), ('"C"',)]
cur.execute("select names['k'] from semis")
assert cur.fetchall() == [('"v1"',), ('"v2"',)]
cur.execute("select notes[0] from semis")