FieldDto

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Available in Classic and VPC

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 String metricType;
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.
  • If the field is a metric: STRING | INTEGER | FLOAT | LONG
  • If the field is a dimension: STRING
metric Boolean Optional Specify that the field is a metric.
  • true | false (default)
metricType String - Metric type
  • BASIC | EXTENDED | CUSTOM
    • BASIC: default performance/operational metrics
    • EXTENDED: additional performance/operational metrics for detailed monitoring
    • CUSTOM: user-defined performance/operational metrics
dimension Boolean Optional Specify that the field is a dimension.
  • true | false (default)
counter Boolean Optional
  • true | false (default)
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.
  • default (default)
  • At least one dimension must be set to idDimension.
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.
  • Interval: Min1 | Min5 | Min30 | Hour2 | Day1
  • Calculation: COUNT | SUM | MAX | MIN | AVG
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"
    ]
}