def test_store_health_status_sets_correct_keys(self):
current_health = redis_connection.get('data_sources:health')
self.assertEqual(None, current_health)
DATA_SOURCE = self.factory.create_data_source()
QUERY_SUCCESS = "SELECT 1"
QUERY_FAIL = "SELECT meep"
SOME_DATA_FAIL = {"a": "b", "foo": "bar", "status": "FAIL"}
SOME_DATA_SUCCESS = {"a": "b", "foo": "bar", "status": "SUCCESS"}
store_health_status(str(DATA_SOURCE.id), DATA_SOURCE.name, QUERY_FAIL,
SOME_DATA_FAIL)
store_health_status(str(DATA_SOURCE.id), DATA_SOURCE.name,
QUERY_SUCCESS, SOME_DATA_SUCCESS)
'''
The expected format of the cached health data is:
{
"<data_source_id>": {
"metadata": "<data_source_name>",
"queries": {
"<query_text>": {...},
"<query_text>": {...},
"<query_text>": {...},
...
}
},
...
}
'''
current_health = json.loads(
redis_connection.get('data_sources:health'))
# There is 1 data source.
self.assertEqual(1, len(current_health.keys()))
self.assertEqual(DATA_SOURCE.id, int(current_health.keys()[0]))
# The data source has "metadata", "queries" and "status" keys.
ds_id = str(DATA_SOURCE.id)
self.assertEqual(3, len(current_health[ds_id].keys()))
self.assertTrue("metadata" in current_health[ds_id].keys())
self.assertTrue("queries" in current_health[ds_id].keys())
self.assertTrue("status" in current_health[ds_id].keys())
# There are two queries with correct data
self.assertEqual(2, len(current_health[ds_id]["queries"]))
self.assertTrue(
QUERY_SUCCESS in current_health[ds_id]["queries"].keys())
self.assertTrue(QUERY_FAIL in current_health[ds_id]["queries"].keys())
self.assertEqual(SOME_DATA_FAIL,
current_health[ds_id]["queries"][QUERY_FAIL])
self.assertEqual(SOME_DATA_SUCCESS,
current_health[ds_id]["queries"][QUERY_SUCCESS])
self.assertEqual(SOME_DATA_FAIL["status"],
current_health[ds_id]["status"])
def stmo_status_api():
status = original_get_status()
health_data = json.loads(redis_connection.get('data_sources:health') or '{}')
# Get the top level status for each data source
for health_data_point in health_data.values():
data_source_name = health_data_point["metadata"]["name"]
dashboard_label = "[Data Source Health] {name}".format(name=data_source_name)
status[dashboard_label] = health_data_point["status"]
return jsonify(status)
def get_object_counts():
status = {}
status['queries_count'] = models.db.session.query(models.Query).count()
if settings.FEATURE_SHOW_QUERY_RESULTS_COUNT:
status['query_results_count'] = models.db.session.query(
models.QueryResult).count()
status['unused_query_results_count'] = models.QueryResult.unused(
).count()
status['dashboards_count'] = models.Dashboard.query.count()
status['widgets_count'] = models.Widget.query.count()
status['data_sources'] = json.loads(
redis_connection.get('data_sources:health') or '{}')
return status
def get_schema(self, refresh=False):
cache = None
if not refresh:
cache = redis_connection.get(self._schema_key)
if cache is None:
query_runner = self.query_runner
schema = sorted(query_runner.get_schema(get_stats=refresh), key=lambda t: t['name'])
redis_connection.set(self._schema_key, json_dumps(schema))
else:
schema = json_loads(cache)
return schema
def store_health_status(data_source_id, data_source_name, query_text, data):
key = "data_sources:health"
cache = json.loads(redis_connection.get(key) or "{}")
if data_source_id not in cache:
cache[data_source_id] = {"metadata": {"name": data_source_name}, "queries": {}}
cache[data_source_id]["queries"][query_text] = data
cache[data_source_id]["status"] = "SUCCESS"
for query_status in cache[data_source_id]["queries"].values():
if query_status["status"] == "FAIL":
cache[data_source_id]["status"] = "FAIL"
break
redis_connection.set(key, json.dumps(cache))
def remove_ghost_locks():
"""
Removes query locks that reference a non existing RQ job.
"""
keys = redis_connection.keys("query_hash_job:*")
locks = {k: redis_connection.get(k) for k in keys}
jobs = list(rq_job_ids())
count = 0
for lock, job_id in locks.items():
if job_id not in jobs:
redis_connection.delete(lock)
count += 1
logger.info("Locks found: {}, Locks removed: {}".format(len(locks), count))
def get_schema(self, refresh=False):
key = "data_source:schema:{}".format(self.id)
cache = None
if not refresh:
cache = redis_connection.get(key)
if cache is None:
query_runner = self.query_runner
schema = sorted(query_runner.get_schema(get_stats=refresh), key=lambda t: t['name'])
redis_connection.set(key, json.dumps(schema))
else:
schema = json.loads(cache)
return schema
def get_status():
status = {}
info = redis_connection.info()
status['redis_used_memory'] = info['used_memory']
status['redis_used_memory_human'] = info['used_memory_human']
status['version'] = __version__
status['queries_count'] = models.db.session.query(models.Query).count()
if settings.FEATURE_SHOW_QUERY_RESULTS_COUNT:
status['query_results_count'] = models.db.session.query(models.QueryResult).count()
status['unused_query_results_count'] = models.QueryResult.unused().count()
status['dashboards_count'] = models.Dashboard.query.count()
status['widgets_count'] = models.Widget.query.count()
status['workers'] = []
status['manager'] = redis_connection.hgetall('redash:status')
status['data_sources'] = json.loads(redis_connection.get('data_sources:health') or '{}')
queues = {}
for ds in models.DataSource.query:
for queue in (ds.queue_name, ds.scheduled_queue_name):
queues.setdefault(queue, set())
queues[queue].add(ds.name)
status['manager']['queues'] = {}
for queue, sources in queues.iteritems():
status['manager']['queues'][queue] = {
'data_sources': ', '.join(sources),
'size': redis_connection.llen(queue)
}
status['manager']['queues']['celery'] = {
'size': redis_connection.llen('celery'),
'data_sources': ''
}
status['database_metrics'] = []
# have to include the fake FROM in the SQL to prevent an IndexError
queries = [
['Query Results Size', "pg_size_pretty(pg_total_relation_size('query_results')) as size from (select 1) as a"],
['Redash DB Size', "pg_size_pretty(pg_database_size('postgres')) as size from (select 1) as a"]
]
for query_name, query in queries:
result = models.db.session.query(query).first()
status['database_metrics'].append([query_name, result[0]])
return status
def get_schema(self, refresh=False):
cache = None
if not refresh:
cache = redis_connection.get(self._schema_key)
if cache is None:
query_runner = self.query_runner
schema = query_runner.get_schema(get_stats=refresh)
try:
out_schema = self._sort_schema(schema)
except Exception:
logging.exception(
"Error sorting schema columns for data_source {}".format(self.id)
)
out_schema = schema
finally:
redis_connection.set(self._schema_key, json_dumps(out_schema))
else:
out_schema = json_loads(cache)
return out_schema
def stmo_status_api():
status = original_get_status()
status['data_sources'] = json.loads(redis_connection.get('data_sources:health') or '{}')
return jsonify(status)
def get(self):
health_data = json.loads(redis_connection.get('data_sources:health') or '{}')
return jsonify(health_data)
def get_cached_schema(self):
cache = redis_connection.get(self._schema_key)
return json_loads(cache) if cache else None
def get_latest_version():
return redis_connection.get(REDIS_KEY)
def _get_tables_from_cache(data_source_id, database_name):
cache = redis_connection.get(_tables_key(data_source_id, database_name))
return json_loads(cache) if cache else None
def get_latest_version():
return redis_connection.get(REDIS_KEY)
def get(self):
health_data = json.loads(redis_connection.get("data_sources:health") or "{}")
return jsonify(health_data)
def get_latest_version():
return redis_connection.get(REDIS_KEY).decode(
"utf-8") if redis_connection.get(REDIS_KEY) else None
def pause_reason(self):
return redis_connection.get(self._pause_key())
def pause_reason(self):
return redis_connection.get(
self._pause_key).decode("utf-8") if redis_connection.get(
self._pause_key) else None
