blob: f172e6b1fe5444aa52833e5b81080f56c4e238dd [file] [log] [blame]
"""Unit tests for Superset Celery worker"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import os
import subprocess
import time
import unittest
import pandas as pd
from superset import app, appbuilder, cli, db, models, dataframe
from superset.security import sync_role_definitions
from superset.sql_parse import SupersetQuery
from .base_tests import SupersetTestCase
QueryStatus = models.QueryStatus
BASE_DIR = app.config.get('BASE_DIR')
class CeleryConfig(object):
BROKER_URL = 'sqla+sqlite:///' + app.config.get('SQL_CELERY_DB_FILE_PATH')
CELERY_IMPORTS = ('superset.sql_lab', )
CELERY_RESULT_BACKEND = 'db+sqlite:///' + app.config.get('SQL_CELERY_RESULTS_DB_FILE_PATH')
CELERY_ANNOTATIONS = {'sql_lab.add': {'rate_limit': '10/s'}}
CONCURRENCY = 1
app.config['CELERY_CONFIG'] = CeleryConfig
class UtilityFunctionTests(SupersetTestCase):
# TODO(bkyryliuk): support more cases in CTA function.
def test_create_table_as(self):
q = SupersetQuery("SELECT * FROM outer_space;")
self.assertEqual(
"CREATE TABLE tmp AS \nSELECT * FROM outer_space",
q.as_create_table("tmp"))
self.assertEqual(
"DROP TABLE IF EXISTS tmp;\n"
"CREATE TABLE tmp AS \nSELECT * FROM outer_space",
q.as_create_table("tmp", overwrite=True))
# now without a semicolon
q = SupersetQuery("SELECT * FROM outer_space")
self.assertEqual(
"CREATE TABLE tmp AS \nSELECT * FROM outer_space",
q.as_create_table("tmp"))
# now a multi-line query
multi_line_query = (
"SELECT * FROM planets WHERE\n"
"Luke_Father = 'Darth Vader'")
q = SupersetQuery(multi_line_query)
self.assertEqual(
"CREATE TABLE tmp AS \nSELECT * FROM planets WHERE\n"
"Luke_Father = 'Darth Vader'",
q.as_create_table("tmp")
)
class CeleryTestCase(SupersetTestCase):
def __init__(self, *args, **kwargs):
super(CeleryTestCase, self).__init__(*args, **kwargs)
self.client = app.test_client()
def get_query_by_name(self, sql):
session = db.session
query = session.query(models.Query).filter_by(sql=sql).first()
session.close()
return query
def get_query_by_id(self, id):
session = db.session
query = session.query(models.Query).filter_by(id=id).first()
session.close()
return query
@classmethod
def setUpClass(cls):
try:
os.remove(app.config.get('SQL_CELERY_DB_FILE_PATH'))
except OSError as e:
app.logger.warn(str(e))
try:
os.remove(app.config.get('SQL_CELERY_RESULTS_DB_FILE_PATH'))
except OSError as e:
app.logger.warn(str(e))
sync_role_definitions()
worker_command = BASE_DIR + '/bin/superset worker'
subprocess.Popen(
worker_command, shell=True, stdout=subprocess.PIPE)
admin = appbuilder.sm.find_user('admin')
if not admin:
appbuilder.sm.add_user(
'admin', 'admin', ' user', 'admin@fab.org',
appbuilder.sm.find_role('Admin'),
password='general')
cli.load_examples(load_test_data=True)
@classmethod
def tearDownClass(cls):
subprocess.call(
"ps auxww | grep 'celeryd' | awk '{print $2}' | xargs kill -9",
shell=True
)
subprocess.call(
"ps auxww | grep 'superset worker' | awk '{print $2}' | "
"xargs kill -9",
shell=True
)
def run_sql(self, db_id, sql, client_id, cta='false', tmp_table='tmp',
async='false'):
self.login()
resp = self.client.post(
'/superset/sql_json/',
data=dict(
database_id=db_id,
sql=sql,
async=async,
select_as_cta=cta,
tmp_table_name=tmp_table,
client_id=client_id,
),
)
self.logout()
return json.loads(resp.data.decode('utf-8'))
def test_add_limit_to_the_query(self):
session = db.session
main_db = self.get_main_database(db.session)
eng = main_db.get_sqla_engine()
select_query = "SELECT * FROM outer_space;"
updated_select_query = main_db.wrap_sql_limit(select_query, 100)
# Different DB engines have their own spacing while compiling
# the queries, that's why ' '.join(query.split()) is used.
# In addition some of the engines do not include OFFSET 0.
self.assertTrue(
"SELECT * FROM (SELECT * FROM outer_space;) AS inner_qry "
"LIMIT 100" in ' '.join(updated_select_query.split())
)
select_query_no_semicolon = "SELECT * FROM outer_space"
updated_select_query_no_semicolon = main_db.wrap_sql_limit(
select_query_no_semicolon, 100)
self.assertTrue(
"SELECT * FROM (SELECT * FROM outer_space) AS inner_qry "
"LIMIT 100" in
' '.join(updated_select_query_no_semicolon.split())
)
multi_line_query = (
"SELECT * FROM planets WHERE\n Luke_Father = 'Darth Vader';"
)
updated_multi_line_query = main_db.wrap_sql_limit(multi_line_query, 100)
self.assertTrue(
"SELECT * FROM (SELECT * FROM planets WHERE "
"Luke_Father = 'Darth Vader';) AS inner_qry LIMIT 100" in
' '.join(updated_multi_line_query.split())
)
def test_run_sync_query(self):
main_db = self.get_main_database(db.session)
eng = main_db.get_sqla_engine()
perm_name = 'can_sql_json'
db_id = main_db.id
# Case 1.
# Table doesn't exist.
sql_dont_exist = 'SELECT name FROM table_dont_exist'
result1 = self.run_sql(db_id, sql_dont_exist, "1", cta='true')
self.assertTrue('error' in result1)
# Case 2.
# Table and DB exists, CTA call to the backend.
sql_where = (
"SELECT name FROM ab_permission WHERE name='{}'".format(perm_name))
result2 = self.run_sql(
db_id, sql_where, "2", tmp_table='tmp_table_2', cta='true')
self.assertEqual(QueryStatus.SUCCESS, result2['query']['state'])
self.assertEqual([], result2['data'])
self.assertEqual([], result2['columns'])
query2 = self.get_query_by_id(result2['query']['serverId'])
# Check the data in the tmp table.
df2 = pd.read_sql_query(sql=query2.select_sql, con=eng)
data2 = df2.to_dict(orient='records')
self.assertEqual([{'name': perm_name}], data2)
# Case 3.
# Table and DB exists, CTA call to the backend, no data.
sql_empty_result = 'SELECT * FROM ab_user WHERE id=666'
result3 = self.run_sql(
db_id, sql_empty_result, "3", tmp_table='tmp_table_3', cta='true',)
self.assertEqual(QueryStatus.SUCCESS, result3['query']['state'])
self.assertEqual([], result3['data'])
self.assertEqual([], result3['columns'])
query3 = self.get_query_by_id(result3['query']['serverId'])
self.assertEqual(QueryStatus.SUCCESS, query3.status)
def test_run_async_query(self):
main_db = self.get_main_database(db.session)
eng = main_db.get_sqla_engine()
# Schedule queries
# Case 1.
# Table and DB exists, async CTA call to the backend.
sql_where = "SELECT name FROM ab_role WHERE name='Admin'"
result1 = self.run_sql(
main_db.id, sql_where, "4", async='true', tmp_table='tmp_async_1',
cta='true')
assert result1['query']['state'] in (
QueryStatus.PENDING, QueryStatus.RUNNING, QueryStatus.SUCCESS)
time.sleep(1)
# Case 1.
query1 = self.get_query_by_id(result1['query']['serverId'])
df1 = pd.read_sql_query(query1.select_sql, con=eng)
self.assertEqual(QueryStatus.SUCCESS, query1.status)
self.assertEqual([{'name': 'Admin'}], df1.to_dict(orient='records'))
self.assertEqual(QueryStatus.SUCCESS, query1.status)
self.assertTrue("FROM tmp_async_1" in query1.select_sql)
self.assertTrue("LIMIT 666" in query1.select_sql)
self.assertEqual(
"CREATE TABLE tmp_async_1 AS \nSELECT name FROM ab_role "
"WHERE name='Admin'", query1.executed_sql)
self.assertEqual(sql_where, query1.sql)
if eng.name != 'sqlite':
self.assertEqual(1, query1.rows)
self.assertEqual(666, query1.limit)
self.assertEqual(False, query1.limit_used)
self.assertEqual(True, query1.select_as_cta)
self.assertEqual(True, query1.select_as_cta_used)
def test_get_columns_dict(self):
main_db = self.get_main_database(db.session)
df = main_db.get_df("SELECT * FROM multiformat_time_series", None)
cdf = dataframe.SupersetDataFrame(df)
if main_db.sqlalchemy_uri.startswith('sqlite'):
self.assertEqual(
[{'is_date': True, 'type': 'datetime_string', 'name': 'ds',
'is_dim': False},
{'is_date': True, 'type': 'datetime_string', 'name': 'ds2',
'is_dim': False},
{'agg': 'sum', 'is_date': False, 'type': 'int64',
'name': 'epoch_ms', 'is_dim': False},
{'agg': 'sum', 'is_date': False, 'type': 'int64',
'name': 'epoch_s', 'is_dim': False},
{'is_date': True, 'type': 'datetime_string', 'name': 'string0',
'is_dim': False},
{'is_date': False, 'type': 'object',
'name': 'string1', 'is_dim': True},
{'is_date': True, 'type': 'datetime_string', 'name': 'string2',
'is_dim': False},
{'is_date': False, 'type': 'object',
'name': 'string3', 'is_dim': True}]
, cdf.columns_dict
)
else:
self.assertEqual(
[{'is_date': True, 'type': 'datetime_string', 'name': 'ds',
'is_dim': False},
{'is_date': True, 'type': 'datetime64[ns]',
'name': 'ds2', 'is_dim': False},
{'agg': 'sum', 'is_date': False, 'type': 'int64',
'name': 'epoch_ms', 'is_dim': False},
{'agg': 'sum', 'is_date': False, 'type': 'int64',
'name': 'epoch_s', 'is_dim': False},
{'is_date': True, 'type': 'datetime_string', 'name': 'string0',
'is_dim': False},
{'is_date': False, 'type': 'object',
'name': 'string1', 'is_dim': True},
{'is_date': True, 'type': 'datetime_string', 'name': 'string2',
'is_dim': False},
{'is_date': False, 'type': 'object',
'name': 'string3', 'is_dim': True}]
, cdf.columns_dict
)
if __name__ == '__main__':
unittest.main()