def prepare(self):
results = mongo_data.find({}, {"sparse_500": 1, "_id": 0})
for index, result in enumerate(results):
try:
self.arguments.append(result['sparse_500'])
except KeyError:
continue
else:
break
def db_command(self):
return mongo_data.find(
{"$or": [{"sparse_110": {"$exists": True}},
{"sparse_229": {"$exists": True}}]},
["sparse_110", "sparse_919"])
def db_command(self):
return mongo_data.find({}, ["nested_obj.str", "nested_obj.num"])
def db_command(self):
return mongo_data.find({}, ["str1", "num"])
def db_command(self):
return mongo_data.find({"deep_nested_obj.level_2.level_3.level_4.level_5.level_6.level_7.level_8.deep_str_agg": self.arguments[0]})
def db_command(self):
return mongo_data.find({"sparse_500": self.arguments[0]})
def db_command(self):
return mongo_data.find({"nested_arr": self.arguments[0]})
def db_command(self):
#Select 0.1% of data. 1000 rows in this case.
return mongo_data.find({"$and": [{"dyn1": {"$gte": self.arguments[0]}}, {"dyn1": {"$lt": self.arguments[1]}}]})
def db_command(self):
return mongo_data.find({"str1": "{}".format(self.arguments[0])})