any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

go/mongo_client.html#pymongo.mongo_client.MongoClient] If you want to use a mongodb uri, you can supply it as the host parameter. mongo_db When using the MongoDB broker you can optionally provide a database sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance:

any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

go/mongo_client.html#pymongo.mongo_client.MongoClient] If you want to use a mongodb uri, you can supply it as the host parameter. mongo_db When using the MongoDB broker you can optionally provide a database sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance:

go/mongo_client.html#pymongo.mongo_client.MongoClient] If you want to use a mongodb uri, you can supply it as the host parameter. mongo_db When using the MongoDB broker you can optionally provide a database sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance:

any of the parameters exposed by pymongo’s MongoClient If you want to use a mongodb uri, you can supply it as the host parameter. 1.2.20 mongo_db When using the MongoDB broker you can optionally provide sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) group_id = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: # Chain async from

go/mongo_client.html#pymongo.mongo_client.MongoClient] If you want to use a mongodb uri, you can supply it as the host parameter. mongo_db When using the MongoDB broker you can optionally provide a database sequentially. For that you can use the async_chain() function: # Async a chain of tasks from django_q.tasks import async_chain, result_group # the chain must be in the format # [(func,(args),{kwargs}) = async_chain([('math.copysign', (1, -1)), ('math.floor', (1,))]) # get group result result_group(group_id, count=2) A slightly more convenient way is to use a Chain instance: