FieldDto
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FieldDto
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Available in Classic
It is required when creating and editing a schema.
Syntax
The syntax is as follows.
private String name;
private DataType dataType;
private boolean metric = false;
private boolean dimension = false;
private Boolean counter = false;
private boolean isIdDimension = false;
private Map<Interval, Set<Calculation>> aggregations;
private String desc;
Field
The following describes the fields.
| Field | Type | Required | Description |
|---|---|---|---|
name | String | Required | Name of product schema |
dataType | DataType | Required | Specify the data type of a metric or dimension
|
metric | Boolean | Optional | Specify that the field is a metric
|
dimension | Boolean | Optional | Specify that the field is a dimension
|
counter | Boolean | Optional |
|
isIdDimension | Boolean | Optional | It can only be set when the field is a dimension and is distinguished by that dimension when creating an event rule for a user-defined product
|
aggregations | Map<Interval, Set<Calculation>> | Optional | It can only be set when the field is a metric, and sets the aggregation frequency and aggregation function
|
desc | String | Optional | Description of product schema |
Examples
See below for an example.
Note
If aggregations is not set, it defaults to performing all aggregation functions for every aggregation interval as shown below.
"aggregations": {
"Min1": [
"AVG",
"SUM",
"MIN",
"MAX",
"COUNT"
],
"Min5": [
"AVG",
"SUM",
"MIN",
"MAX",
"COUNT"
],
"Min30": [
"AVG",
"SUM",
"MIN",
"MAX",
"COUNT"
],
"Hour2": [
"AVG",
"SUM",
"MIN",
"MAX",
"COUNT"
],
"Day1": [
"AVG",
"SUM",
"MIN",
"MAX",
"COUNT"
]
}
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