5 rows where bpm = 90, "created_at" is on date 2021-03-04 and entry_id = 368477 sorted by deleted_at

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Suggested facets: updated_at (date)

created_at (date)

  • 2021-03-04 · 5

bpm

id created_at updated_at deleted_at ▼ entry_id bpm time
14953 2021-03-04 17:19:52.382504+03:00 2021-03-04 17:19:52.382504+03:00   368477 368477 90 20:32:16,07
14960 2021-03-04 17:19:52.382823+03:00 2021-03-04 17:19:52.382823+03:00   368477 368477 90 20:32:25,82
14961 2021-03-04 17:19:52.382869+03:00 2021-03-04 17:19:52.382869+03:00   368477 368477 90 20:32:26,48
14964 2021-03-04 17:19:52.383006+03:00 2021-03-04 17:19:52.383006+03:00   368477 368477 90 20:32:28,39
14994 2021-03-04 17:19:52.384379+03:00 2021-03-04 17:19:52.384379+03:00   368477 368477 90 20:32:51,95

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CREATE TABLE `health_beats_per_minutes` (`id` integer,`created_at` datetime,`updated_at` datetime,`deleted_at` datetime,`entry_id` integer,`bpm` integer,`time` text,PRIMARY KEY (`id`),CONSTRAINT `fk_health_entries_beats_per_minutes` FOREIGN KEY (`entry_id`) REFERENCES `health_entries`(`id`));
CREATE UNIQUE INDEX `health_beats_per_minutes_key` ON `health_beats_per_minutes`(`entry_id`,`time`);
CREATE INDEX `idx_health_beats_per_minutes_deleted_at` ON `health_beats_per_minutes`(`deleted_at`);