5 rows where workout_id = 105 sorted by value

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Suggested facets: created_at (date), updated_at (date)

id created_at updated_at deleted_at workout_id key value ▼
449 2021-03-04 17:19:51.202615+03:00 2021-03-04 17:19:51.202615+03:00   105 105 HKIndoorWorkout 0
452 2021-03-04 17:19:51.202779+03:00 2021-03-04 17:19:51.202779+03:00   105 105 HKWeatherHumidity 5000 %
450 2021-03-04 17:19:51.202671+03:00 2021-03-04 17:19:51.202671+03:00   105 105 HKWeatherTemperature 72 degF
453 2021-03-04 17:19:51.202826+03:00 2021-03-04 17:19:51.202826+03:00   105 105 HKElevationAscended 8462 cm
451 2021-03-04 17:19:51.202731+03:00 2021-03-04 17:19:51.202731+03:00   105 105 HKTimeZone Europe/Moscow

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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`);