diff --git a/acceleration/cron/README.md b/acceleration/cron/README.md index 8e4896d0..1062e9ec 100644 --- a/acceleration/cron/README.md +++ b/acceleration/cron/README.md @@ -1,6 +1,6 @@ # Cron-based Dataset Refresh -Works with `v1.0+` +Works with `v1.4.0+` Spice supports specifying cron schedules for accelerated datasets, to refresh datasets on defined schedules. @@ -75,10 +75,10 @@ After the initial load, observe that the `taxi_trips` dataset refreshes on every 2025-06-09T06:27:33.630576Z INFO runtime::http: Spice Runtime HTTP listening on 127.0.0.1:8090 2025-06-09T06:27:35.928527Z INFO runtime::init::dataset: Dataset taxi_trips registered (s3://spiceai-demo-datasets/taxi_trips/2024/), acceleration (arrow), results cache enabled. 2025-06-09T06:27:35.929924Z INFO runtime::accelerated_table::refresh_task: Loading data for dataset taxi_trips -2025-06-09T06:27:50.915273Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.41 MiB) for dataset taxi_trips in 14s 985ms. +2025-06-09T06:27:50.915273Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.38 MiB) for dataset taxi_trips in 14s 985ms. 2025-06-09T06:27:50.986350Z INFO runtime: All components are loaded. Spice runtime is ready! 2025-06-09T06:28:00.001597Z INFO runtime::accelerated_table::refresh_task: Loading data for dataset taxi_trips -2025-06-09T06:28:13.954105Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.41 MiB) for dataset taxi_trips in 13s 952ms. +2025-06-09T06:28:13.954105Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.38 MiB) for dataset taxi_trips in 13s 952ms. 2025-06-09T06:28:30.001882Z INFO runtime::accelerated_table::refresh_task: Loading data for dataset taxi_trips -2025-06-09T06:28:43.802372Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.41 MiB) for dataset taxi_trips in 13s 800ms. +2025-06-09T06:28:43.802372Z INFO runtime::accelerated_table::refresh_task: Loaded 2,964,624 rows (399.38 MiB) for dataset taxi_trips in 13s 800ms. ```