Execution Strategy

Execution strategy allows you to change the outcome produced by the rule solver. There are several options for the execution strategy described below.

List of execution strategies

• Standard strategy (default)

• Array strategy

• First Match strategy

• Evaluate All strategy - Available only in decision tables

You can easily set the execution strategy for solver API by adding the X-Strategy header. If the header is not specified, the system automatically chooses the STANDARD strategy.

HTTP Header	Possible value
X-Strategy	STANDARD
X-Strategy	ARRAY
X-Strategy	FIRST_MATCH
X-Strategy	EVALUATE_ALL

Execution strategy can be also chosen in Test bench.

The distinct types of execution strategies are described below.

Standard

If 2 lines are matching the input, the output will be all the matching rows. The order will be the same as the order of rows in the rule.

The output looks like this:

[
  {
    "client": {
      "segment": "affluent"
    },
    "profitability": 1
  },
  {
    "client": {
      "segment": "top affluent"
    },
    "profitability": 1.6
  }
]

First match

If 2 lines are matching the input, the output is returning just the first matching line from the rule (table, script).

The output looks like this:

[
  {
    "client": {
      "segment": "affluent"
    },
    "profitability": 1
  }
]

Array

If 2 lines are matching the input, the outputs are returned in the array format.

The output looks like this:

[
  {
    "client": {
      "segment": [
        "affluent",
        "top affluent"
      ]
    },
    "profitability": [
      1,
      1.6
    ]
  }
]

Evaluate all

This execution strategy allows you to obtain satisfiability based on the input conditions of all rows in the decision table. If your decision table has N rows, the evaluation response will also be N objects. For each output, you will have an indication of whether the line was met or not.

The output can looks like this:

[
  {
    "client": {
      "segment": "affluent"
    },
    "profitability": 1,
    "_match": true
  },
  {
    "client": {
      "segment": "top affluent"
    },
    "profitability": 1.6,
    "_match": false
  }
]