The table supports a filter mechanism. Activation/Deactivation by symbol "Downside arrow" in right upper corner.
Available field for one entry are
- as (String) "date", "modelIdentifier", "manufacturerIdentifier", "typeName", "description", "uuid", "version", "parentUuid", "containedHolder", "mountpoint", "partTypeId", "serial",
- as (long) "treeLevel".
Filter rules for filter string
ES wildchar query is used
Case sensitive
- Wildchards are:
'*' A sequence of chars
'?' Exact one char
Examples for filter rules
input | desc | regex | datatype | matching | not matching |
|---|---|---|---|---|---|
| Ad | equals 'Ad' | /^Ad$/g | string | Ad | admin, monica |
| Ad* | startswith 'Ad' | /^Ad/g | string | Admin, Add | admin, monica |
| *Ad | endswith 'Ad' | /Ad$/g | string | mkisdAd | mkdisad, youtube |
| *Ad* | contains 'Ad' | /Ad/g | string | mmAdkias, mmAd | admin, monica |
| *Ad*s* | contains 'Ad' something 's' something | /Ad.*s/g | string | Admins, Ads, fAds | Admin, admins |
| ?Ad?s* | starts with single any char, followed by 'Ad', another single char, 's', something | /^.Ad.s/g | string | fAdhs, gAdis, hAdtsabc | Admin, admins |
| 19 | number is 19 (since frankfurt) | - | number | 19 | 20, 1 |
| >19 | number greater than 19 (since frankfurt) | - | number | 20, 25 | 19, 1 |
| >=19 | number greater or equal than 19 (since frankfurt) | - | number | 20,3300 | 1, 11 |
| <=22 | number smaller or equal than 22 (since frankfurt) | - | number | 1, 21, 22 | 23, 553 |
| <19 | number smaller than 19 (since frankfurt) | - | number | 18, 3 | 19, 20 |
| true | boolean filter (since frankfurt) | - | boolean | true | false |
| false | boolean filter (since frankfurt) | - | boolean | false | true |
| >2019 | date newer than 2019 | - | datetime | 2020-05-01T020611Z | 2019-09-01T020611Z |
| >2019-01 | date newer than January 2019 | - | datetime | 2019-05-01T020611Z | 2019-01-01T020611Z |
| >2019-01-05 | date newer than 5th January 2019 | - | datetime | 2019-01-06T020611Z | 2019-01-05T020611Z |
| >2019-01-05T10 | date newer than 5th January 2019 10:00:00 | - | datetime | 2019-01-05T100611Z | 2019-01-05T090611Z |
| >2019-01-05T10:05 | date newer than 5th January 2019 10:05:00 | - | datetime | 2019-01-05T100511Z | 2019-01-05T100411Z |
| 2019* | date within the year 2019 | - | datetime | 2019-01-05T100511Z, | 2020-01-05T100511Z, 2017-01-05T100511Z |
| 2019-07* | date within July 2019 | - | datetime | 2019-07-05T100511Z | 2019-01-05T100511Z |
| 2019-07-1* | date within 10th to 19th of July 2019 | - | datetime | 2019-07-15T100511Z | 2019-07-05T100511Z |
| 2019-07-15* | date within 15th of July 2019 | - | datetime | 2019-07-15T100511Z | 2019-01-05T100511Z |
| 2019-07-15T1* | date on 15th of July 2019 between 10:00:00 and 19:59:59 | - | datetime | 2019-07-15T100511Z | 2019-07-15T200511Z |
| 2019-07-15T16* | date on 15th of July 2019 between 16:00:00 and 16:59:59 | - | datetime | 2019-07-15T160511Z | 2019-07-15T100511Z |
| 2019-07-15T16:2* | date on 15th of July 2019 between 16:20:00 and 16:29:59 | - | datetime | 2019-07-15T162511Z | 2019-07-15T160511Z |
| 2019-07-15T16:28* | date on 15th of July 2019 between 16:28:00 and 16:28:59 | - | datetime | 2019-07-15T162811Z | 2019-07-15T162211Z |
| 2019-07-15T16:28:2* | date on 15th of July 2019 between 16:28:20 and 16:28:29 | - | datetime | 2019-07-15T162821Z | 2019-07-15T162811Z |
| 2019-07-15T16:28:23.* | date on 15th of July 2019 between 16:28:23.0 and 16:28:23.9 | - | datetime | 2019-07-15T162823.2Z | 2019-07-15T162824.2Z |
| 2019-07-15T16:28:23 | exactly 2019-07-15T16:28:23 | - | datetime | 2019-07-15T16:28:23 | 2019-07-15T162811Z |
The rules are described in column “regex” to be tested with Flavor “ECMAScript” regex at this site: https://regex101.com/
Examples for filtered row in table
