Facet queries
Use facet queries in Optimizely Data Platform's (ODP's) GraphQL API to view aggregated sets of customer data.
You can use GraphQL to return aggregated results for dimension columns. For example, if you want to check the most frequently used name in your customers
dimension, execute the following GraphQL query:
query {
customers {
facets {
name {
name
count
}
}
}
}
The response returns the aggregated results:
{
"data": {
"customers": {
"facets": {
"name": [
{
"name": "Chandler",
"count": 176
},
{
"name": "Ross",
"count": 156
},
{
"name": "Phoebe",
"count": 151
},
{
"name": "Monica",
"count": 145
},
{
"name": "Joey",
"count": 134
},
{
"name": "Rachel",
"count": 127
},
{
"name": "Ursula",
"count": 120
},
{
"name": "Amy",
"count": 113
},
{
"name": "Paolo",
"count": 104
},
{
"name": "Paul",
"count": 100
}
]
}
}
}
}
The facet query returns up to 10 aggregated results sorted in descending order based on popularity (number of occurrences) in the data set.
You can use theistarts_with
filter to return aggregations on a more narrow data set. The istarts_with
filter is not case sensitive. Therefore, if you set istarts_with
to a
, both "Ashley" and "andrew" will match the filter.
A filtered example is shown below:
query {
customers {
facets {
name(istarts_with: "J") {
name
count
}
}
}
}
Which returns the following response:
{
"data": {
"customers": {
"facets": {
"name": [
{
"name": "Joey",
"count": 134
},
{
"name": "Joshua",
"count": 96
},
{
"name": "Janice",
"count": 25
},
{
"name": "Jack",
"count": 25
},
{
"name": "Janine",
"count": 21
},
{
"name": "Julie",
"count": 19
},
{
"name": "Jade",
"count": 15
},
{
"name": "Judy",
"count": 5
}
]
}
}
}
}
Note
Facet queries only work for
text
columns.
Updated 12 months ago