Data can be filtered using exact values and wildcard matching ( *
).
Filtering by Column
Column filtering can be done in a simple way by appending /<Column Name>/<Column Value>
suffix into the URL.
You can filter all rows with Jane Doe
exact value inside Name
column by appending the suffix /Name/Jane Doe
.
You can use wildcard matching by using the *
character inside the suffix.
- You can filter all rows with
Jane
inside theName
column by appending the suffix/Name/*Jane*
. - You can filter all rows that starts with
Jane
inside theName
column by appending the suffix/Name/Jane*
. - You can filter all rows that ends with
Jane
inside theName
column by appending the suffix/Name/*Jane
.
Filtering multiple columns
You can filter multiple columns by using the /search
suffix, combined with the query params following the pattern <Column Name>=<Column Value>
.
Wildcard matching works when filtering multiple columns too.
- You can filter all rows with
Jane
inside theName
column and21
in theAge
column by appending the suffix:/search?Name=*Jane*&Age=21
Combining Filters with Tabs
You can filter other tabs data by appending /tabs/<Tab Name>
before the filter suffixes:
- You can filter all rows with
Mick
inside theName
column and21
in theAge
column with using the suffix:/tabs/Admin/search?Age=21&Name=*Mick*
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Shell
Python
Javascript
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