def rejected_datasources(self, sql, database, schema):
superset_query = sql_parse.SupersetQuery(sql)
return [
t for t in superset_query.tables
if not self.datasource_access_by_fullname(database, t, schema)
]
def get_sql_results(self, query_id, return_results=True, store_results=False):
"""Executes the sql query returns the results."""
if not self.request.called_directly:
engine = sqlalchemy.create_engine(
app.config.get('SQLALCHEMY_DATABASE_URI'), poolclass=NullPool)
session_class = sessionmaker()
session_class.configure(bind=engine)
session = session_class()
else:
session = db.session()
session.commit() # HACK
query = session.query(models.Query).filter_by(id=query_id).one()
database = query.database
executed_sql = query.sql.strip().strip(';')
db_engine_spec = database.db_engine_spec
def handle_error(msg):
"""Local method handling error while processing the SQL"""
query.error_message = msg
query.status = QueryStatus.FAILED
query.tmp_table_name = None
session.commit()
raise Exception(query.error_message)
# Limit enforced only for retrieving the data, not for the CTA queries.
superset_query = sql_parse.SupersetQuery(executed_sql)
if not superset_query.is_select() and not database.allow_dml:
handle_error(
"Only `SELECT` statements are allowed against this database")
if query.select_as_cta:
if not superset_query.is_select():
handle_error(
"Only `SELECT` statements can be used with the CREATE TABLE "
"feature.")
if not query.tmp_table_name:
start_dttm = datetime.fromtimestamp(query.start_time)
query.tmp_table_name = 'tmp_{}_table_{}'.format(
query.user_id,
start_dttm.strftime('%Y_%m_%d_%H_%M_%S'))
executed_sql = create_table_as(
executed_sql, query.tmp_table_name, database.force_ctas_schema)
query.select_as_cta_used = True
elif (
query.limit and superset_query.is_select() and
db_engine_spec.limit_method == LimitMethod.WRAP_SQL):
executed_sql = database.wrap_sql_limit(executed_sql, query.limit)
query.limit_used = True
engine = database.get_sqla_engine(schema=query.schema)
try:
template_processor = get_template_processor(
database=database, query=query)
executed_sql = template_processor.process_template(executed_sql)
executed_sql = db_engine_spec.sql_preprocessor(executed_sql)
except Exception as e:
logging.exception(e)
msg = "Template rendering failed: " + utils.error_msg_from_exception(e)
handle_error(msg)
try:
query.executed_sql = executed_sql
logging.info("Running query: \n{}".format(executed_sql))
result_proxy = engine.execute(query.executed_sql, schema=query.schema)
except Exception as e:
logging.exception(e)
handle_error(utils.error_msg_from_exception(e))
cursor = result_proxy.cursor
query.status = QueryStatus.RUNNING
session.flush()
db_engine_spec.handle_cursor(cursor, query, session)
cdf = None
if result_proxy.cursor:
column_names = [col[0] for col in result_proxy.cursor.description]
if db_engine_spec.limit_method == LimitMethod.FETCH_MANY:
data = result_proxy.fetchmany(query.limit)
else:
data = result_proxy.fetchall()
cdf = dataframe.SupersetDataFrame(
pd.DataFrame(data, columns=column_names))
query.rows = result_proxy.rowcount
query.progress = 100
query.status = QueryStatus.SUCCESS
if query.rows == -1 and cdf:
# Presto doesn't provide result_proxy.row_count
query.rows = cdf.size
if query.select_as_cta:
query.select_sql = '{}'.format(database.select_star(
query.tmp_table_name,
limit=query.limit,
schema=database.force_ctas_schema
))
query.end_time = utils.now_as_float()
session.flush()
payload = {
'query_id': query.id,
'status': query.status,
'data': [],
}
payload['data'] = cdf.data if cdf else []
payload['columns'] = cdf.columns_dict if cdf else []
payload['query'] = query.to_dict()
payload = json.dumps(payload, default=utils.json_iso_dttm_ser)
if store_results and results_backend:
key = '{}'.format(uuid.uuid4())
logging.info("Storing results in results backend, key: {}".format(key))
results_backend.set(key, zlib.compress(payload))
query.results_key = key
session.flush()
session.commit()
if return_results:
return payload
def test_explain(self):
sql = sql_parse.SupersetQuery('EXPLAIN SELECT 1')
self.assertEquals(True, sql.is_explain())
self.assertEquals(False, sql.is_select())
self.assertEquals(True, sql.is_readonly())
def extract_tables(self, query):
sq = sql_parse.SupersetQuery(query)
return sq.tables
def test_update_not_select(self):
sql = sql_parse.SupersetQuery('UPDATE t1 SET col1 = NULL')
self.assertEquals(False, sql.is_select())
self.assertEquals(False, sql.is_readonly())
