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sql_lab.py
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sql_lab.py
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# -*- coding: utf-8 -*-
# pylint: disable=C,R,W
from __future__ import absolute_import, division, print_function, unicode_literals
from datetime import datetime
import logging
from time import sleep
import uuid
from celery.exceptions import SoftTimeLimitExceeded
from contextlib2 import contextmanager
import simplejson as json
import sqlalchemy
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import NullPool
from superset import app, dataframe, db, results_backend, security_manager, utils
from superset.models.sql_lab import Query
from superset.sql_parse import SupersetQuery
from superset.utils import get_celery_app, QueryStatus
config = app.config
celery_app = get_celery_app(config)
stats_logger = app.config.get('STATS_LOGGER')
SQLLAB_TIMEOUT = config.get('SQLLAB_ASYNC_TIME_LIMIT_SEC', 600)
class SqlLabException(Exception):
pass
def get_query(query_id, session, retry_count=5):
"""attemps to get the query and retry if it cannot"""
query = None
attempt = 0
while not query and attempt < retry_count:
try:
query = session.query(Query).filter_by(id=query_id).one()
except Exception:
attempt += 1
logging.error(
'Query with id `{}` could not be retrieved'.format(query_id))
stats_logger.incr('error_attempting_orm_query_' + str(attempt))
logging.error('Sleeping for a sec before retrying...')
sleep(1)
if not query:
stats_logger.incr('error_failed_at_getting_orm_query')
raise SqlLabException('Failed at getting query')
return query
@contextmanager
def session_scope(nullpool):
"""Provide a transactional scope around a series of operations."""
if nullpool:
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
try:
yield session
session.commit()
except Exception as e:
session.rollback()
logging.exception(e)
raise
finally:
session.close()
@celery_app.task(bind=True, soft_time_limit=SQLLAB_TIMEOUT)
def get_sql_results(
ctask, query_id, rendered_query, return_results=True, store_results=False,
user_name=None):
"""Executes the sql query returns the results."""
with session_scope(not ctask.request.called_directly) as session:
try:
return execute_sql(
ctask, query_id, rendered_query, return_results, store_results, user_name,
session=session)
except Exception as e:
logging.exception(e)
stats_logger.incr('error_sqllab_unhandled')
query = get_query(query_id, session)
query.error_message = str(e)
query.status = QueryStatus.FAILED
query.tmp_table_name = None
session.commit()
raise
def execute_sql(
ctask, query_id, rendered_query, return_results=True, store_results=False,
user_name=None, session=None,
):
"""Executes the sql query returns the results."""
query = get_query(query_id, session)
payload = dict(query_id=query_id)
database = query.database
db_engine_spec = database.db_engine_spec
db_engine_spec.patch()
def handle_error(msg):
"""Local method handling error while processing the SQL"""
troubleshooting_link = config['TROUBLESHOOTING_LINK']
query.error_message = msg
query.status = QueryStatus.FAILED
query.tmp_table_name = None
session.commit()
payload.update({
'status': query.status,
'error': msg,
})
if troubleshooting_link:
payload['link'] = troubleshooting_link
return payload
if store_results and not results_backend:
return handle_error("Results backend isn't configured.")
# Limit enforced only for retrieving the data, not for the CTA queries.
superset_query = SupersetQuery(rendered_query)
executed_sql = superset_query.stripped()
SQL_MAX_ROWS = app.config.get('SQL_MAX_ROW')
if not superset_query.is_select() and not database.allow_dml:
return handle_error(
'Only `SELECT` statements are allowed against this database')
if query.select_as_cta:
if not superset_query.is_select():
return 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 = superset_query.as_create_table(query.tmp_table_name)
query.select_as_cta_used = True
if (superset_query.is_select() and SQL_MAX_ROWS and
(not query.limit or query.limit > SQL_MAX_ROWS)):
query.limit = SQL_MAX_ROWS
executed_sql = database.apply_limit_to_sql(executed_sql, query.limit)
# Hook to allow environment-specific mutation (usually comments) to the SQL
SQL_QUERY_MUTATOR = config.get('SQL_QUERY_MUTATOR')
if SQL_QUERY_MUTATOR:
executed_sql = SQL_QUERY_MUTATOR(
executed_sql, user_name, security_manager, database)
query.executed_sql = executed_sql
query.status = QueryStatus.RUNNING
query.start_running_time = utils.now_as_float()
session.merge(query)
session.commit()
logging.info("Set query to 'running'")
conn = None
try:
engine = database.get_sqla_engine(
schema=query.schema,
nullpool=not ctask.request.called_directly,
user_name=user_name,
)
conn = engine.raw_connection()
cursor = conn.cursor()
logging.info('Running query: \n{}'.format(executed_sql))
logging.info(query.executed_sql)
cursor.execute(query.executed_sql,
**db_engine_spec.cursor_execute_kwargs)
logging.info('Handling cursor')
db_engine_spec.handle_cursor(cursor, query, session)
logging.info('Fetching data: {}'.format(query.to_dict()))
data = db_engine_spec.fetch_data(cursor, query.limit)
except SoftTimeLimitExceeded as e:
logging.exception(e)
if conn is not None:
conn.close()
return handle_error(
"SQL Lab timeout. This environment's policy is to kill queries "
'after {} seconds.'.format(SQLLAB_TIMEOUT))
except Exception as e:
logging.exception(e)
if conn is not None:
conn.close()
return handle_error(db_engine_spec.extract_error_message(e))
logging.info('Fetching cursor description')
cursor_description = cursor.description
if conn is not None:
conn.commit()
conn.close()
if query.status == utils.QueryStatus.STOPPED:
return handle_error('The query has been stopped')
cdf = dataframe.SupersetDataFrame(data, cursor_description, db_engine_spec)
query.rows = cdf.size
query.progress = 100
query.status = QueryStatus.SUCCESS
if query.select_as_cta:
query.select_sql = '{}'.format(
database.select_star(
query.tmp_table_name,
limit=query.limit,
schema=database.force_ctas_schema,
show_cols=False,
latest_partition=False))
query.end_time = utils.now_as_float()
session.merge(query)
session.flush()
payload.update({
'status': query.status,
'data': cdf.data if cdf.data else [],
'columns': cdf.columns if cdf.columns else [],
'query': query.to_dict(),
})
if store_results:
key = '{}'.format(uuid.uuid4())
logging.info('Storing results in results backend, key: {}'.format(key))
json_payload = json.dumps(payload, default=utils.json_iso_dttm_ser)
cache_timeout = database.cache_timeout
if cache_timeout is None:
cache_timeout = config.get('CACHE_DEFAULT_TIMEOUT', 0)
results_backend.set(key, utils.zlib_compress(json_payload), cache_timeout)
query.results_key = key
query.end_result_backend_time = utils.now_as_float()
session.merge(query)
session.commit()
if return_results:
return payload