JSON JQ Transform Task
JSON_JQ_TRANSFORM
is a System task that allows processing of JSON data that is supplied to the task, by using the
popular JQ processing tool’s query expression language.
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
queryExpression
is appended to the inputParameters
of JSON_JQ_TRANSFORM
, along side any other input values needed for the evaluation.
inputParameters
name | description |
---|---|
queryExpression | JQ query expression |
About JQ
Check out the JQ Manual.
Output
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 |
Example
Example 1
Here is an example of a JSON_JQ_TRANSFORM
task. The inputParameters
attribute is expected to have a value object
that has the following
-
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.
-
A key with the name
queryExpression
, whose value is a JQ expression. The expression will operate on the value of theinputParameters
attribute. In the example below, theinputParameters
has 2 inner objects named by attributeskey1
andkey2
, each of which has an object that is namedvalue1
andvalue2
. They have an associated array of strings as values,"a", "b"
and"c", "d"
. The expressionkey3: (.key1.value1 + .key2.value2)
concat's the 2 string arrays into a single array against an attribute namedkey3
{
"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"
]
}
]
}
Example 2
A HTTP Task makes an API call to GitHub to request a list of "stargazers" (users who have starred a repository). The API response (for just one user) looks like:
Snippet of ${hundred_stargazers_ref.output}
"body":[
{
"starred_at":"2016-12-14T19:55:46Z",
"user":{
"login":"lzehrung",
"id":924226,
"node_id":"MDQ6VXNlcjkyNDIyNg==",
"avatar_url":"https://avatars.githubusercontent.com/u/924226?v=4",
"gravatar_id":"",
"url":"https://api.github.com/users/lzehrung",
"html_url":"https://github.com/lzehrung",
"followers_url":"https://api.github.com/users/lzehrung/followers",
"following_url":"https://api.github.com/users/lzehrung/following{/other_user}",
"gists_url":"https://api.github.com/users/lzehrung/gists{/gist_id}",
"starred_url":"https://api.github.com/users/lzehrung/starred{/owner}{/repo}",
"subscriptions_url":"https://api.github.com/users/lzehrung/subscriptions",
"organizations_url":"https://api.github.com/users/lzehrung/orgs",
"repos_url":"https://api.github.com/users/lzehrung/repos",
"events_url":"https://api.github.com/users/lzehrung/events{/privacy}",
"received_events_url":"https://api.github.com/users/lzehrung/received_events",
"type":"User",
"site_admin":false
}
}
]
We only need the starred_at
and login
parameters for users who starred the repository AFTER a given date (provided as an input to the workflow ${workflow.input.cutoff_date}
). We'll use the JQ Transform to simplify the output:
{
"name": "jq_cleanup_stars",
"taskReferenceName": "jq_cleanup_stars_ref",
"inputParameters": {
"starlist": "${hundred_stargazers_ref.output.response.body}",
"queryExpression": "[.starlist[] | select (.starred_at > \"${workflow.input.cutoff_date}\") |{occurred_at:.starred_at, member: {github: .user.login}}]"
},
"type": "JSON_JQ_TRANSFORM",
"decisionCases": {},
"defaultCase": [],
"forkTasks": [],
"startDelay": 0,
"joinOn": [],
"optional": false,
"defaultExclusiveJoinTask": [],
"asyncComplete": false,
"loopOver": []
}
The JSON is stored in starlist
. The queryExpression
reads in the JSON, selects only entries where the starred_at
value meets the date criteria, and generates output JSON of the form:
The entire expression is wrapped in []
to indicate that the response should be an array.