scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without central configuration 133 Celery Documentation, Release 2.0.3 (stable) PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL • Removed Task.rate_limit_queue_type, as it was not really useful and made

scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without central configuration ALTER TABLE celery_taskmeta MODIFY result TEXT NULL PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL Removed Task.rate_limit_queue_type, as it was not really useful and made it

scenarios, and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without central configuration backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassan- dra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers exceptions.ImproperlyConfigured if module pycassa is not available. cleanup() Delete expired metadata. column_family = None i = 63 keyspace = None process_cleanup() servers = [] 10.6.23 Backend: Tokyo Tyrant

scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports clustering when used in combination with RabbitMQ. You can set up new workers without central configuration backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassandra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers ImproperlyConfigured: if module pycassa is not available. cleanup() Delete expired metadata. column_family = None i = 63 keyspace = None process_cleanup() servers = [] © Copyright 2009-2011, Ask

ensures your tasks are never lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration CASSANDRA_KEYSPACE The keyspace in which to store the results. e.g. "tasks_keyspace". CASSANDRA_COLUMN_FAMILY The column family in which to store the results. eg "tasks" CASSANDRA_READ_CONSISTENCY The read consistency states for a task as a wide column, instead of only the last one. To use this mode, you need to configure your ColumnFamily to use the TimeUUID type as a comparator: create column family task_results with

and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration ALTER TABLE celery_taskmeta MODIFY result TEXT NULL PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL • Removed Task.rate_limit_queue_type, as it was not really useful and made backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassan- dra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers

and your tasks will never be lost. Dis- tributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration ALTER TABLE celery_taskmeta MODIFY result TEXT NULL PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL • Removed Task.rate_limit_queue_type, as it was not really useful and made backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassan- dra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers

and your tasks will never be lost. Distributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration ALTER TABLE celery_taskmeta MODIFY result TEXT NULL PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL Removed Task.rate_limit_queue_type, as it was not really useful and made it backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassandra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers

ensures your tasks are never lost. Distributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration CASSANDRA_KEYSPACE The keyspace in which to store the results. e.g. "tasks_keyspace". CASSANDRA_COLUMN_FAMILY The column family in which to store the results. eg "tasks" CASSANDRA_READ_CONSISTENCY The read consistency states for a task as a wide column, instead of only the last one. To use this mode, you need to configure your ColumnFamily to use the TimeUUID type as a comparator: create column family task_results with

and your tasks will never be lost. Distributed Runs on one or more machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration ALTER TABLE celery_taskmeta MODIFY result TEXT NULL PostgreSQL: ALTER TABLE celery_taskmeta ALTER COLUMN result DROP NOT NULL Removed Task.rate_limit_queue_type, as it was not really useful and made it backends.cassandra class celery.backends.cassandra.CassandraBackend(servers=None, keyspace=None, column_family=None, cassandra_options=None, **kwargs) Highly fault tolerant Cassandra backend. servers