specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the task_default_rate_limit setting: from the beat_schedule setting, but custom stores can also be used, like storing the entries in a SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise result_backend_max_sleep_between_retries_ms Default: 10000 This specifies the maximum sleep time between two backend operation retry. result_backend_base_sleep_between_retries_ms Default: 10 This specifies the

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the CELERY_DEFAULT_RATE_LIMIT setting autocommit mode by default, and commit_on_success/commit_manually are deprecated. This means each SQL query is wrapped and executed in individual transactions, making it less likely to experience the problem the CELERYBEAT_SCHEDULE setting, but custom stores can also be used, like storing the entries in an SQL database. 108 Chapter 2. Contents Celery Documentation, Release 3.1.25 You have to ensure only a

specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a minimum delay of 600ms between starting two tasks on the same worker instance. Default is the CELERY_DEFAULT_RATE_LIMIT setting autocommit mode by default, and commit_on_success/commit_manually are deprecated. This means each SQL query is wrapped and executed in individual transactions, making it less likely to experience the problem the CELERYBEAT_SCHEDULE setting, but custom stores can also be used, like storing the entries in an SQL database. You have to ensure only a single scheduler is running for a schedule at a time, otherwise