"ValueError: No value for given attribute" when using Synapse Spark Pool

[sdg-sjb]

In an Azure Machine Learning notebook, when using a Synapse Apache Spark compute pool as our selected compute resource, the following code throws a ValueError (code example genericized; some values used below are not verbatim what we are using)

from azure.ai.ml import MLClient
from azure.identity import DefaultAzureCredential
from azure.ai.ml.entities import Data
from azure.ai.ml.constants import AssetTypes

import pandas as pd

SUBSCRIPTION_ID = '<<sub id here>>'
RESOURCE_GROUPS_NAME = '<<rg name here>>'
WORKSPACE_NAME = '<<wkspace name here>>'
DATASTORE_NAME = '<<datastore name here>>'

STRUCTURED_DATA_LAKE_URI = f"azureml://subscriptions/{SUBSCRIPTION_ID}/resourcegroups/{RESOURCE_GROUPS_NAME}/workspaces/{WORKSPACE_NAME}/datastores/{DATASTORE_NAME}/paths"

# authenticate
credential = DefaultAzureCredential()

# Get a handle to the workspace
ml_client = MLClient(
    credential=credential,
    subscription_id=SUBSCRIPTION_ID,
    resource_groups_name=RESOURCE_GROUPS_NAME,
    workspace_name=WORKSPACE_NAME,
)

ws = ml_client.workspaces.get(WORKSPACE_NAME)

Since this error emerges when simply trying to inspect our own AML workspace, it certainly shouldn't be expected to work when creating or getting data assets. We've confirmed that is in fact the case with the code below:

some_path = STRUCTURED_DATA_LAKE_URI + '/foo/bar/baz.parquet'
data = Data(
    name="my-asset-name",
    version='v1',
    description="test desc",
    path=some_path ,
    type=AssetTypes.URI_FILE,
)

try:
    ml_client.data.get(name='my-asset-name', version='v1')
except Exception as e:
    print(e)
    try:
        ml_client.data.create_or_update(data)
        print(f"Data asset created. Name: {data .name}, version: {data .version}")
    except Exception as f:
        print(f)

Result: two exceptions get printed, both being ValueError: No value for given attribute. See stack trace below

Cell In [19], line 27
     19 # Get a handle to the workspace
     20 ml_client = MLClient(
     21     credential=credential,
     22     subscription_id=SUBSCRIPTION_ID,
     23     resource_groups_name=RESOURCE_GROUPS_NAME,
     24     workspace_name=WORKSPACE_NAME,
     25 )
---> 27 ws = ml_client.workspaces.get(WORKSPACE_NAME)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/_telemetry/activity.py:275, in monitor_with_activity.<locals>.monitor.<locals>.wrapper(*args, **kwargs)
    272 @functools.wraps(f)
    273 def wrapper(*args, **kwargs):
    274     with log_activity(logger, activity_name or f.__name__, activity_type, custom_dimensions):
--> 275         return f(*args, **kwargs)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/core/tracing/decorator.py:78, in distributed_trace.<locals>.decorator.<locals>.wrapper_use_tracer(*args, **kwargs)
     76 span_impl_type = settings.tracing_implementation()
     77 if span_impl_type is None:
---> 78     return func(*args, **kwargs)
     80 # Merge span is parameter is set, but only if no explicit parent are passed
     81 if merge_span and not passed_in_parent:

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/operations/_workspace_operations.py:121, in WorkspaceOperations.get(self, name, **kwargs)
    100 @monitor_with_activity(logger, "Workspace.Get", ActivityType.PUBLICAPI)
    101 @distributed_trace
    102 # pylint: disable=arguments-renamed
    103 def get(self, name: Optional[str] = None, **kwargs: Dict) -> Workspace:
    104     """Get a Workspace by name.
    105 
    106     :param name: Name of the workspace.
   (...)
    118             :caption: Get the workspace with the given name.
    119     """
--> 121     return super().get(workspace_name=name, **kwargs)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/operations/_workspace_operations_base.py:85, in WorkspaceOperationsBase.get(self, workspace_name, **kwargs)
     83 workspace_name = self._check_workspace_name(workspace_name)
     84 resource_group = kwargs.get("resource_group") or self._resource_group_name
---> 85 obj = self._operation.get(resource_group, workspace_name)
     86 return Workspace._from_rest_object(obj)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/core/tracing/decorator.py:78, in distributed_trace.<locals>.decorator.<locals>.wrapper_use_tracer(*args, **kwargs)
     76 span_impl_type = settings.tracing_implementation()
     77 if span_impl_type is None:
---> 78     return func(*args, **kwargs)
     80 # Merge span is parameter is set, but only if no explicit parent are passed
     81 if merge_span and not passed_in_parent:

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/_restclient/v2023_08_01_preview/operations/_workspaces_operations.py:912, in WorkspacesOperations.get(self, resource_group_name, workspace_name, **kwargs)
    909 api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version))
    910 cls: ClsType[_models.Workspace] = kwargs.pop("cls", None)
--> 912 request = build_get_request(
    913     resource_group_name=resource_group_name,
    914     workspace_name=workspace_name,
    915     subscription_id=self._config.subscription_id,
    916     api_version=api_version,
    917     template_url=self.get.metadata["url"],
    918     headers=_headers,
    919     params=_params,
    920 )
    921 request = _convert_request(request)
    922 request.url = self._client.format_url(request.url)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/_restclient/v2023_08_01_preview/operations/_workspaces_operations.py:168, in build_get_request(resource_group_name, workspace_name, subscription_id, **kwargs)
    161 # Construct URL
    162 _url = kwargs.pop(
    163     "template_url",
    164     "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}",
    165 )  # pylint: disable=line-too-long
    166 path_format_arguments = {
    167     "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
--> 168     "resourceGroupName": _SERIALIZER.url(
    169         "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
    170     ),
    171     "workspaceName": _SERIALIZER.url(
    172         "workspace_name", workspace_name, "str", pattern=r"^[a-zA-Z0-9][a-zA-Z0-9_-]{2,32}$"
    173     ),
    174 }
    176 _url: str = _url.format(**path_format_arguments)  # type: ignore
    178 # Construct parameters

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/_restclient/v2023_08_01_preview/_serialization.py:713, in Serializer.url(self, name, data, data_type, **kwargs)
    704 """Serialize data intended for a URL path.
    705 
    706 :param data: The data to be serialized.
   (...)
    710 :raises: ValueError if data is None
    711 """
    712 try:
--> 713     output = self.serialize_data(data, data_type, **kwargs)
    714     if data_type == "bool":
    715         output = json.dumps(output)

File ~/cluster-env/env/lib/python3.10/site-packages/azure/ai/ml/_restclient/v2023_08_01_preview/_serialization.py:790, in Serializer.serialize_data(self, data, data_type, **kwargs)
    779 """Serialize generic data according to supplied data type.
    780 
    781 :param data: The data to be serialized.
   (...)
    787 :raises: SerializationError if serialization fails.
    788 """
    789 if data is None:
--> 790     raise ValueError("No value for given attribute")
    792 try:
    793     if data is AzureCoreNull:

ValueError: No value for given attribute

We've also tried the same steps in the getting-started tutorials

Please advise. Thank you!

---

Document Details

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• ID: be5f72f6-bc45-1717-3d02-b0d53cf71c30
• Version Independent ID: 8e626e10-e162-d78b-97b1-4c1cefca4808
• Content: Create Data Assets - Azure Machine Learning
• Content Source: articles/machine-learning/how-to-create-data-assets.md
• Service: machine-learning
• Sub-service: mldata
• GitHub Login: @SturgeonMi
• Microsoft Alias: xunwan

[Naveenommi-MSFT]

@sdg-sjb Thanks for your feedback! We will investigate and update as appropriate.

[RamanathanChinnappan-MSFT]

@sdg-sjb Since this issue isn't directly related to improving our docs, and to gain a better understanding of your issue, I'd recommend working closer with our support team via an [Azure support request] (https://docs.microsoft.com/en-us/azure/azure-portal/supportability/how-to-create-azure-support-request). Or you can leverage our Q&A forum by posting your issue there so our community, and MVPs can further assist you in troubleshooting this issue or finding potential workarounds.

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