health_entries
1 row where "creation_date" is on date 2019-01-01, "start_date" is on date 2019-01-01 and type = "HKQuantityTypeIdentifierHeight" sorted by deleted_at
This data as json, CSV (advanced)
Suggested facets: updated_at (date), creation_date (date), start_date (date)
id | created_at | updated_at | deleted_at ▼ | type | source_name | source_version | unit | creation_date | start_date | end_date | value | device_id |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2021-03-04 17:17:30.015483+03:00 | 2021-03-04 17:17:30.015483+03:00 | HKQuantityTypeIdentifierHeight | iPhone (Vsevolod) | 12.0 | cm | 2019-01-01 09:13:37+03:00 | 2019-01-01 09:13:37+03:00 | 2019-01-01 09:13:37+03:00 | 180 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE `health_entries` (`id` integer,`created_at` datetime,`updated_at` datetime,`deleted_at` datetime,`type` text,`source_name` text,`source_version` text,`unit` text,`creation_date` datetime,`start_date` datetime,`end_date` datetime,`value` text,`device_id` integer,PRIMARY KEY (`id`),CONSTRAINT `fk_health_entries_device` FOREIGN KEY (`device_id`) REFERENCES `health_devices`(`id`)); CREATE UNIQUE INDEX `health_entries_key` ON `health_entries`(`type`,`creation_date`); CREATE INDEX `idx_health_entries_deleted_at` ON `health_entries`(`deleted_at`);