TIL: You can use JQ in Conductor

What is Conductor

Conductor is a Microservices orchestration platform from Netflix, released under Apache 2.0 Open Source License.

What is jq

jq (https://stedolan.github.io/jq/) is like sed for JSON data - you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text.

Conductor + JQ

Conductor allows you to create tasks that can process JSON payloads in your workflows without writing custom code using jq.

Use cases

JSON is a popular format of choice for data-interchange. It is widely used in web and server applications, document storage, API I/O etc. It’s also used within Conductor to define workflow and task definitions and passing data and state between tasks and workflows. This makes a tool like JQ a natural fit for processing task related data. Some common usages within Conductor includes, working with HTTP task, JOIN tasks or standalone tasks that try to transform data from the output of one task to the input of another.

Configuration

Here is an example of a JSON_JQ_TRANSFORM task. The inputParameters attribute is expected to have a value object
that has the following

1. A list of key value pair objects denoted key1/value1, key2/value2 in the example below. Note the key1/value1 are
   arbitrary names used in this example.

2. A key with the name queryExpression, whose value is a JQ expression. The expression will operate on the value of
   the inputParameters attribute. In the example below, the inputParameters has 2 inner objects named by attributes
   key1 and key2, each of which has an object that is named value1 and value2. They have an associated array of
   strings as values, "a", "b" and "c", "d". The expression key3: (.key1.value1 + .key2.value2) concat's the 2
   string arrays into a single array against an attribute named key3
   

{
  "name": "jq_example_task",
  "taskReferenceName": "my_jq_example_task",
  "type": "JSON_JQ_TRANSFORM",
  "inputParameters": {
    "key1": {
      "value1": [
        "a",
        "b"
      ]
    },
    "key2": {
      "value2": [
        "c",
        "d"
      ]
    },
    "queryExpression": "{ key3: (.key1.value1 + .key2.value2) }"
  }
}

The execution of this example task above will provide the following output. The resultList attribute stores the full
list of the queryExpression result. The result attribute stores the first element of the resultList. An
optional error
attribute along with a string message will be returned if there was an error processing the query expression.

{
  "result": {
    "key3": [
      "a",
      "b",
      "c",
      "d"
    ]
  },
  "resultList": [
    {
      "key3": [
        "a",
        "b",
        "c",
        "d"
      ]
    }
  ]
}

Input Configuration

Attribute	Description
name	Task Name. A unique name that is descriptive of the task function
taskReferenceName	Task Reference Name. A unique reference to this task. There can be multiple references of a task within the same workflow definition
type	Task Type. In this case, JSON_JQ_TRANSFORM
inputParameters	The input parameters that will be supplied to this task. The parameters will be a JSON object of atleast 2 attributes, one of which will be called queryExpression. The others are user named attributes. These attributes will be accessible by the JQ query processor
inputParameters/user-defined-key(s)	User defined key(s) along with values.
inputParameters/queryExpression	A JQ query expression

Output Configuration

Attribute	Description
result	The first results returned by the JQ expression
resultList	A List of results returned by the JQ expression
error	An optional error message, indicating that the JQ query failed processing

Want to learn more about JQ?

See tutorials at https://stedolan.github.io/jq/tutorial/

Follow us on https://github.com/Netflix/conductor/
for the source code and updates.