health_workout_metadata
4 rows where "updated_at" is on date 2021-03-04 and workout_id = 110 sorted by workout_id
This data as json, CSV (advanced)
Suggested facets: created_at (date)
id | created_at | updated_at | deleted_at | workout_id ▼ | key | value |
---|---|---|---|---|---|---|
471 | 2021-03-04 17:19:51.209286+03:00 | 2021-03-04 17:19:51.209286+03:00 | 110 110 | HKIndoorWorkout | 0 | |
473 | 2021-03-04 17:19:51.209414+03:00 | 2021-03-04 17:19:51.209414+03:00 | 110 110 | HKTimeZone | Europe/Moscow | |
474 | 2021-03-04 17:19:51.209473+03:00 | 2021-03-04 17:19:51.209473+03:00 | 110 110 | HKWeatherHumidity | 9100 % | |
472 | 2021-03-04 17:19:51.209361+03:00 | 2021-03-04 17:19:51.209361+03:00 | 110 110 | HKWeatherTemperature | 37 degF |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE `health_workout_metadata` (`id` integer,`created_at` datetime,`updated_at` datetime,`deleted_at` datetime,`workout_id` integer,`key` text,`value` text,PRIMARY KEY (`id`),CONSTRAINT `fk_health_workouts_metadata_entries` FOREIGN KEY (`workout_id`) REFERENCES `health_workouts`(`id`)); CREATE UNIQUE INDEX `health_workout_metadata_key` ON `health_workout_metadata`(`workout_id`,`key`); CREATE INDEX `idx_health_workout_metadata_deleted_at` ON `health_workout_metadata`(`deleted_at`);