health_beats_per_minutes
4 rows where bpm = 59 and entry_id = 368476 sorted by id descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
id ▲ | created_at | updated_at | deleted_at | entry_id | bpm | time |
---|---|---|---|---|---|---|
14938 | 2021-03-04 17:19:52.381124+03:00 | 2021-03-04 17:19:52.381124+03:00 | 368476 368476 | 59 | 15:56:19,26 | |
14935 | 2021-03-04 17:19:52.380986+03:00 | 2021-03-04 17:19:52.380986+03:00 | 368476 368476 | 59 | 15:56:16,12 | |
14929 | 2021-03-04 17:19:52.380256+03:00 | 2021-03-04 17:19:52.380256+03:00 | 368476 368476 | 59 | 15:56:09,81 | |
14915 | 2021-03-04 17:19:52.379358+03:00 | 2021-03-04 17:19:52.379358+03:00 | 368476 368476 | 59 | 15:55:55,94 |
Advanced export
JSON shape: default, array, newline-delimited, object
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`);