for each documentation is lacking in detail

[bbg]

we are trying to use for each task to concurrently execute a spark_python_task with different input parameters.

Here is the flow:

Job JSON configuration will configure a job cluster. task1 will set the payload something like

```python

dbutils = DBUtils(spark)

dbutils.jobs.taskValues.set(

    key="pay_load",

    value=[]

```

the next task will depend on task1 and create a for each task with the iteration task of spark_python_task which does the actual ETL.

```javascript

{

              "task_key": "loop_job",

              "depends_on": [

                {

                  "task_key": "task1"

                }

              ],

              "run_if": "ALL_SUCCESS",

              "description": "Processes each table mapping using foreach input",

              "for_each_task": {

                "inputs": "{{tasks.XXXX.values.pay_load}}",

                "concurrency": 3,

                "task": {

                  "task_key": "loop_job_iteration",

                  "run_if": "ALL_SUCCESS",

                  "spark_python_task": {

                    "python_file": "file://XXXXXXXX",

                    "parameters": [

                      "--input1",

                      "{{input}}"

                    ]

                  },

```

when I try to deploy this task I get the following error message.

HTTPError: 400 Client Error: Bad Request for url:

***/api/2.1/jobs/reset

Response from server:

{ 'details': [ { '@type': 'type.googleapis.com/google.rpc.RequestInfo',

'request_id': 'bec8b327-670a-4318-93ed-030025f20206',

'serving_data': ''}],

'error_code': 'INVALID_PARAMETER_VALUE',

'message': 'For each does not support dependent libraries. Remove the '

'dependent libraries and retry again.'}

Please help me understand how to fix this.

I have not specified any libraries in task configuration.

Using dbx to deploy the workflow to target databricks cluster

[SP_6721]

Hi @bbg ,

Even if you haven't added libraries manually, tools like dbx can include dependencies from your project setup, which can trigger this error. Try removing all libraries and environment settings from your job, cluster, and task configs before deploying again.

Also, just to note - dbx is deprecated. It's been replaced by Databricks Asset Bundles, which work better with features like for_each_task. If possible, consider switching to Bundles for smoother deployment.