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Viewing docs for Databricks v1.101.0
published on Thursday, Jul 30, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-databricks

databricks.MlflowExperiment

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Viewing docs for Databricks v1.101.0
published on Thursday, Jul 30, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-databricks

    API Documentation

    This resource allows you to manage MLflow experiments in Databricks.

    This resource can only be used with a workspace-level provider!

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as databricks from "@pulumi/databricks";

const me = databricks.getCurrentUser({});
const _this = new databricks.MlflowExperiment("this", {
    name: me.then(me => `${me.home}/Sample`),
    artifactLocation: "s3://bucket/my-experiment",
    tags: [
        {
            key: "key1",
            value: "value1",
        },
        {
            key: "key2",
            value: "value2",
        },
    ],
});

    import pulumi
import pulumi_databricks as databricks

me = databricks.get_current_user()
this = databricks.MlflowExperiment("this",
    name=f"{me.home}/Sample",
    artifact_location="s3://bucket/my-experiment",
    tags=[
        {
            "key": "key1",
            "value": "value1",
        },
        {
            "key": "key2",
            "value": "value2",
        },
    ])

    package main

import (
	"github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		me, err := databricks.GetCurrentUser(ctx, &databricks.GetCurrentUserArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = databricks.NewMlflowExperiment(ctx, "this", &databricks.MlflowExperimentArgs{
			Name:             pulumi.Sprintf("%v/Sample", me.Home),
			ArtifactLocation: pulumi.String("s3://bucket/my-experiment"),
			Tags: databricks.MlflowExperimentTagArray{
				&databricks.MlflowExperimentTagArgs{
					Key:   pulumi.String("key1"),
					Value: pulumi.String("value1"),
				},
				&databricks.MlflowExperimentTagArgs{
					Key:   pulumi.String("key2"),
					Value: pulumi.String("value2"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() => 
{
    var me = Databricks.GetCurrentUser.Invoke();

    var @this = new Databricks.MlflowExperiment("this", new()
    {
        Name = $"{me.Apply(getCurrentUserResult => getCurrentUserResult.Home)}/Sample",
        ArtifactLocation = "s3://bucket/my-experiment",
        Tags = new[]
        {
            new Databricks.Inputs.MlflowExperimentTagArgs
            {
                Key = "key1",
                Value = "value1",
            },
            new Databricks.Inputs.MlflowExperimentTagArgs
            {
                Key = "key2",
                Value = "value2",
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.databricks.DatabricksFunctions;
import com.pulumi.databricks.inputs.GetCurrentUserArgs;
import com.pulumi.databricks.MlflowExperiment;
import com.pulumi.databricks.MlflowExperimentArgs;
import com.pulumi.databricks.inputs.MlflowExperimentTagArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var me = DatabricksFunctions.getCurrentUser(GetCurrentUserArgs.builder()
            .build());

        var this_ = new MlflowExperiment("this", MlflowExperimentArgs.builder()
            .name(String.format("%s/Sample", me.home()))
            .artifactLocation("s3://bucket/my-experiment")
            .tags(            
                MlflowExperimentTagArgs.builder()
                    .key("key1")
                    .value("value1")
                    .build(),
                MlflowExperimentTagArgs.builder()
                    .key("key2")
                    .value("value2")
                    .build())
            .build());

    }
}

    resources:
  this:
    type: databricks:MlflowExperiment
    properties:
      name: ${me.home}/Sample
      artifactLocation: s3://bucket/my-experiment
      tags:
        - key: key1
          value: value1
        - key: key2
          value: value2
variables:
  me:
    fn::invoke:
      function: databricks:getCurrentUser
      arguments: {}

    pulumi {
  required_providers {
    databricks = {
      source = "pulumi/databricks"
    }
  }
}

data "databricks_getcurrentuser" "me" {
}

resource "databricks_mlflowexperiment" "this" {
  name              ="${data.databricks_getcurrentuser.me.home}/Sample"
  artifact_location = "s3://bucket/my-experiment"
  tags {
    key   = "key1"
    value = "value1"
  }
  tags {
    key   = "key2"
    value = "value2"
  }
}

    import * as pulumi from "@pulumi/pulumi";
import * as databricks from "@pulumi/databricks";

// Store this experiment's traces in a Unity Catalog schema
const withUcTraces = new databricks.MlflowExperiment("with_uc_traces", {
    name: `${me.home}/uc-traces-experiment`,
    traceLocation: {
        ucTraceLocation: {
            catalog: "my_catalog",
            schema: "my_schema",
            tablePrefix: "my_experiment",
        },
    },
});

    import pulumi
import pulumi_databricks as databricks

# Store this experiment's traces in a Unity Catalog schema
with_uc_traces = databricks.MlflowExperiment("with_uc_traces",
    name=f"{me['home']}/uc-traces-experiment",
    trace_location={
        "uc_trace_location": {
            "catalog": "my_catalog",
            "schema": "my_schema",
            "table_prefix": "my_experiment",
        },
    })

    package main

import (
	"github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		// Store this experiment's traces in a Unity Catalog schema
		_, err := databricks.NewMlflowExperiment(ctx, "with_uc_traces", &databricks.MlflowExperimentArgs{
			Name: pulumi.Sprintf("%v/uc-traces-experiment", me.Home),
			TraceLocation: &databricks.MlflowExperimentTraceLocationArgs{
				UcTraceLocation: &databricks.MlflowExperimentTraceLocationUcTraceLocationArgs{
					Catalog:     pulumi.String("my_catalog"),
					Schema:      pulumi.String("my_schema"),
					TablePrefix: pulumi.String("my_experiment"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() => 
{
    // Store this experiment's traces in a Unity Catalog schema
    var withUcTraces = new Databricks.MlflowExperiment("with_uc_traces", new()
    {
        Name = $"{me.Home}/uc-traces-experiment",
        TraceLocation = new Databricks.Inputs.MlflowExperimentTraceLocationArgs
        {
            UcTraceLocation = new Databricks.Inputs.MlflowExperimentTraceLocationUcTraceLocationArgs
            {
                Catalog = "my_catalog",
                Schema = "my_schema",
                TablePrefix = "my_experiment",
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.databricks.MlflowExperiment;
import com.pulumi.databricks.MlflowExperimentArgs;
import com.pulumi.databricks.inputs.MlflowExperimentTraceLocationArgs;
import com.pulumi.databricks.inputs.MlflowExperimentTraceLocationUcTraceLocationArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        // Store this experiment's traces in a Unity Catalog schema
        var withUcTraces = new MlflowExperiment("withUcTraces", MlflowExperimentArgs.builder()
            .name(String.format("%s/uc-traces-experiment", me.home()))
            .traceLocation(MlflowExperimentTraceLocationArgs.builder()
                .ucTraceLocation(MlflowExperimentTraceLocationUcTraceLocationArgs.builder()
                    .catalog("my_catalog")
                    .schema("my_schema")
                    .tablePrefix("my_experiment")
                    .build())
                .build())
            .build());

    }
}

    resources:
  # Store this experiment's traces in a Unity Catalog schema
  withUcTraces:
    type: databricks:MlflowExperiment
    name: with_uc_traces
    properties:
      name: ${me.home}/uc-traces-experiment
      traceLocation:
        ucTraceLocation:
          catalog: my_catalog
          schema: my_schema
          tablePrefix: my_experiment

    pulumi {
  required_providers {
    databricks = {
      source = "pulumi/databricks"
    }
  }
}

# Store this experiment's traces in a Unity Catalog schema
resource "databricks_mlflowexperiment" "with_uc_traces" {
  name ="${me.home}/uc-traces-experiment"
  trace_location = {
    uc_trace_location = {
      catalog      = "my_catalog"
      schema       = "my_schema"
      table_prefix = "my_experiment"
    }
  }
}

    Access Control

    • databricks.Permissions can control which groups or individual users can Read, Edit, or Manage individual experiments.

    The following resources are often used in the same context:

    Create MlflowExperiment Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new MlflowExperiment(name: string, args?: MlflowExperimentArgs, opts?: CustomResourceOptions);
    @overload
def MlflowExperiment(resource_name: str,
                     args: Optional[MlflowExperimentArgs] = None,
                     opts: Optional[ResourceOptions] = None)

@overload
def MlflowExperiment(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     artifact_location: Optional[str] = None,
                     creation_time: Optional[int] = None,
                     description: Optional[str] = None,
                     experiment_id: Optional[str] = None,
                     last_update_time: Optional[int] = None,
                     lifecycle_stage: Optional[str] = None,
                     name: Optional[str] = None,
                     provider_config: Optional[MlflowExperimentProviderConfigArgs] = None,
                     tags: Optional[Sequence[MlflowExperimentTagArgs]] = None,
                     trace_location: Optional[MlflowExperimentTraceLocationArgs] = None)
    func NewMlflowExperiment(ctx *Context, name string, args *MlflowExperimentArgs, opts ...ResourceOption) (*MlflowExperiment, error)
    public MlflowExperiment(string name, MlflowExperimentArgs? args = null, CustomResourceOptions? opts = null)
    public MlflowExperiment(String name, MlflowExperimentArgs args)
public MlflowExperiment(String name, MlflowExperimentArgs args, CustomResourceOptions options)

    type: databricks:MlflowExperiment
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.


    resource "databricks_mlflow_experiment" "name" {
    # resource properties
}

    Parameters

    name string
    The unique name of the resource.
    args MlflowExperimentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MlflowExperimentArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MlflowExperimentArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MlflowExperimentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MlflowExperimentArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var mlflowExperimentResource = new Databricks.MlflowExperiment("mlflowExperimentResource", new()
{
    ArtifactLocation = "string",
    CreationTime = 0,
    ExperimentId = "string",
    LastUpdateTime = 0,
    LifecycleStage = "string",
    Name = "string",
    ProviderConfig = new Databricks.Inputs.MlflowExperimentProviderConfigArgs
    {
        WorkspaceId = "string",
    },
    Tags = new[]
    {
        new Databricks.Inputs.MlflowExperimentTagArgs
        {
            Key = "string",
            Value = "string",
        },
    },
    TraceLocation = new Databricks.Inputs.MlflowExperimentTraceLocationArgs
    {
        UcTraceLocation = new Databricks.Inputs.MlflowExperimentTraceLocationUcTraceLocationArgs
        {
            Catalog = "string",
            Schema = "string",
            EffectiveTablePrefix = "string",
            TablePrefix = "string",
        },
    },
});

    example, err := databricks.NewMlflowExperiment(ctx, "mlflowExperimentResource", &databricks.MlflowExperimentArgs{
	ArtifactLocation: pulumi.String("string"),
	CreationTime:     pulumi.Int(0),
	ExperimentId:     pulumi.String("string"),
	LastUpdateTime:   pulumi.Int(0),
	LifecycleStage:   pulumi.String("string"),
	Name:             pulumi.String("string"),
	ProviderConfig: &databricks.MlflowExperimentProviderConfigArgs{
		WorkspaceId: pulumi.String("string"),
	},
	Tags: databricks.MlflowExperimentTagArray{
		&databricks.MlflowExperimentTagArgs{
			Key:   pulumi.String("string"),
			Value: pulumi.String("string"),
		},
	},
	TraceLocation: &databricks.MlflowExperimentTraceLocationArgs{
		UcTraceLocation: &databricks.MlflowExperimentTraceLocationUcTraceLocationArgs{
			Catalog:              pulumi.String("string"),
			Schema:               pulumi.String("string"),
			EffectiveTablePrefix: pulumi.String("string"),
			TablePrefix:          pulumi.String("string"),
		},
	},
})

    resource "databricks_mlflow_experiment" "mlflowExperimentResource" {
  lifecycle {
    create_before_destroy = true
  }
  artifact_location = "string"
  creation_time     = 0
  experiment_id     = "string"
  last_update_time  = 0
  lifecycle_stage   = "string"
  name              = "string"
  provider_config = {
    workspace_id = "string"
  }
  tags {
    key   = "string"
    value = "string"
  }
  trace_location = {
    uc_trace_location = {
      catalog                = "string"
      schema                 = "string"
      effective_table_prefix = "string"
      table_prefix           = "string"
    }
  }
}

    var mlflowExperimentResource = new MlflowExperiment("mlflowExperimentResource", MlflowExperimentArgs.builder()
    .artifactLocation("string")
    .creationTime(0)
    .experimentId("string")
    .lastUpdateTime(0)
    .lifecycleStage("string")
    .name("string")
    .providerConfig(MlflowExperimentProviderConfigArgs.builder()
        .workspaceId("string")
        .build())
    .tags(MlflowExperimentTagArgs.builder()
        .key("string")
        .value("string")
        .build())
    .traceLocation(MlflowExperimentTraceLocationArgs.builder()
        .ucTraceLocation(MlflowExperimentTraceLocationUcTraceLocationArgs.builder()
            .catalog("string")
            .schema("string")
            .effectiveTablePrefix("string")
            .tablePrefix("string")
            .build())
        .build())
    .build());

    mlflow_experiment_resource = databricks.MlflowExperiment("mlflowExperimentResource",
    artifact_location="string",
    creation_time=0,
    experiment_id="string",
    last_update_time=0,
    lifecycle_stage="string",
    name="string",
    provider_config={
        "workspace_id": "string",
    },
    tags=[{
        "key": "string",
        "value": "string",
    }],
    trace_location={
        "uc_trace_location": {
            "catalog": "string",
            "schema": "string",
            "effective_table_prefix": "string",
            "table_prefix": "string",
        },
    })

    const mlflowExperimentResource = new databricks.MlflowExperiment("mlflowExperimentResource", {
    artifactLocation: "string",
    creationTime: 0,
    experimentId: "string",
    lastUpdateTime: 0,
    lifecycleStage: "string",
    name: "string",
    providerConfig: {
        workspaceId: "string",
    },
    tags: [{
        key: "string",
        value: "string",
    }],
    traceLocation: {
        ucTraceLocation: {
            catalog: "string",
            schema: "string",
            effectiveTablePrefix: "string",
            tablePrefix: "string",
        },
    },
});

    type: databricks:MlflowExperiment
properties:
    artifactLocation: string
    creationTime: 0
    experimentId: string
    lastUpdateTime: 0
    lifecycleStage: string
    name: string
    providerConfig:
        workspaceId: string
    tags:
        - key: string
          value: string
    traceLocation:
        ucTraceLocation:
            catalog: string
            effectiveTablePrefix: string
            schema: string
            tablePrefix: string

    MlflowExperiment Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The MlflowExperiment resource accepts the following input properties:

    ArtifactLocation string
    Path to artifact location of the MLflow experiment.
    CreationTime int
    Description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    ExperimentId string
    LastUpdateTime int
    LifecycleStage string
    Name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    ProviderConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    Tags List<MlflowExperimentTag>
    Tags for the MLflow experiment.
    TraceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    ArtifactLocation string
    Path to artifact location of the MLflow experiment.
    CreationTime int
    Description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    ExperimentId string
    LastUpdateTime int
    LifecycleStage string
    Name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    ProviderConfig MlflowExperimentProviderConfigArgs
    Configure the provider for management through account provider. This block consists of the following fields:
    Tags []MlflowExperimentTagArgs
    Tags for the MLflow experiment.
    TraceLocation MlflowExperimentTraceLocationArgs
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifact_location string
    Path to artifact location of the MLflow experiment.
    creation_time number
    description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experiment_id string
    last_update_time number
    lifecycle_stage string
    name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    provider_config object
    Configure the provider for management through account provider. This block consists of the following fields:
    tags list(object)
    Tags for the MLflow experiment.
    trace_location object
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation String
    Path to artifact location of the MLflow experiment.
    creationTime Integer
    description String

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId String
    lastUpdateTime Integer
    lifecycleStage String
    name String
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    tags List<MlflowExperimentTag>
    Tags for the MLflow experiment.
    traceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation string
    Path to artifact location of the MLflow experiment.
    creationTime number
    description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId string
    lastUpdateTime number
    lifecycleStage string
    name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    tags MlflowExperimentTag[]
    Tags for the MLflow experiment.
    traceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifact_location str
    Path to artifact location of the MLflow experiment.
    creation_time int
    description str

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experiment_id str
    last_update_time int
    lifecycle_stage str
    name str
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    provider_config MlflowExperimentProviderConfigArgs
    Configure the provider for management through account provider. This block consists of the following fields:
    tags Sequence[MlflowExperimentTagArgs]
    Tags for the MLflow experiment.
    trace_location MlflowExperimentTraceLocationArgs
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation String
    Path to artifact location of the MLflow experiment.
    creationTime Number
    description String

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId String
    lastUpdateTime Number
    lifecycleStage String
    name String
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig Property Map
    Configure the provider for management through account provider. This block consists of the following fields:
    tags List<Property Map>
    Tags for the MLflow experiment.
    traceLocation Property Map
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:

    Outputs

    All input properties are implicitly available as output properties. Additionally, the MlflowExperiment resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing MlflowExperiment Resource

    Get an existing MlflowExperiment resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: MlflowExperimentState, opts?: CustomResourceOptions): MlflowExperiment
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        artifact_location: Optional[str] = None,
        creation_time: Optional[int] = None,
        description: Optional[str] = None,
        experiment_id: Optional[str] = None,
        last_update_time: Optional[int] = None,
        lifecycle_stage: Optional[str] = None,
        name: Optional[str] = None,
        provider_config: Optional[MlflowExperimentProviderConfigArgs] = None,
        tags: Optional[Sequence[MlflowExperimentTagArgs]] = None,
        trace_location: Optional[MlflowExperimentTraceLocationArgs] = None) -> MlflowExperiment
    func GetMlflowExperiment(ctx *Context, name string, id IDInput, state *MlflowExperimentState, opts ...ResourceOption) (*MlflowExperiment, error)
    public static MlflowExperiment Get(string name, Input<string> id, MlflowExperimentState? state, CustomResourceOptions? opts = null)
    public static MlflowExperiment get(String name, Output<String> id, MlflowExperimentState state, CustomResourceOptions options)
    resources:  _:    type: databricks:MlflowExperiment    get:      id: ${id}
    import {
  to = databricks_mlflow_experiment.example
  id = "${id}"
}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    ArtifactLocation string
    Path to artifact location of the MLflow experiment.
    CreationTime int
    Description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    ExperimentId string
    LastUpdateTime int
    LifecycleStage string
    Name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    ProviderConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    Tags List<MlflowExperimentTag>
    Tags for the MLflow experiment.
    TraceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    ArtifactLocation string
    Path to artifact location of the MLflow experiment.
    CreationTime int
    Description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    ExperimentId string
    LastUpdateTime int
    LifecycleStage string
    Name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    ProviderConfig MlflowExperimentProviderConfigArgs
    Configure the provider for management through account provider. This block consists of the following fields:
    Tags []MlflowExperimentTagArgs
    Tags for the MLflow experiment.
    TraceLocation MlflowExperimentTraceLocationArgs
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifact_location string
    Path to artifact location of the MLflow experiment.
    creation_time number
    description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experiment_id string
    last_update_time number
    lifecycle_stage string
    name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    provider_config object
    Configure the provider for management through account provider. This block consists of the following fields:
    tags list(object)
    Tags for the MLflow experiment.
    trace_location object
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation String
    Path to artifact location of the MLflow experiment.
    creationTime Integer
    description String

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId String
    lastUpdateTime Integer
    lifecycleStage String
    name String
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    tags List<MlflowExperimentTag>
    Tags for the MLflow experiment.
    traceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation string
    Path to artifact location of the MLflow experiment.
    creationTime number
    description string

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId string
    lastUpdateTime number
    lifecycleStage string
    name string
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig MlflowExperimentProviderConfig
    Configure the provider for management through account provider. This block consists of the following fields:
    tags MlflowExperimentTag[]
    Tags for the MLflow experiment.
    traceLocation MlflowExperimentTraceLocation
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifact_location str
    Path to artifact location of the MLflow experiment.
    creation_time int
    description str

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experiment_id str
    last_update_time int
    lifecycle_stage str
    name str
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    provider_config MlflowExperimentProviderConfigArgs
    Configure the provider for management through account provider. This block consists of the following fields:
    tags Sequence[MlflowExperimentTagArgs]
    Tags for the MLflow experiment.
    trace_location MlflowExperimentTraceLocationArgs
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:
    artifactLocation String
    Path to artifact location of the MLflow experiment.
    creationTime Number
    description String

    Deprecated: Remove the description attribute as it no longer is used and will be removed in a future version.

    experimentId String
    lastUpdateTime Number
    lifecycleStage String
    name String
    Name of MLflow experiment. It must be an absolute path within the Databricks workspace, e.g. /Users/<some-username>/my-experiment. For more information about changes to experiment naming conventions, see mlflow docs.
    providerConfig Property Map
    Configure the provider for management through account provider. This block consists of the following fields:
    tags List<Property Map>
    Tags for the MLflow experiment.
    traceLocation Property Map
    Unity Catalog location where the experiment's traces are stored. Cannot be changed after the experiment is created; changing it forces replacement of the experiment. This block consists of the following fields:

    Supporting Types

    MlflowExperimentProviderConfig, MlflowExperimentProviderConfigArgs

    WorkspaceId string
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    WorkspaceId string
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    workspace_id string
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    workspaceId String
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    workspaceId string
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    workspace_id str
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
    workspaceId String
    Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

    MlflowExperimentTag, MlflowExperimentTagArgs

    Key string
    Value string
    Key string
    Value string
    key string
    value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    MlflowExperimentTraceLocation, MlflowExperimentTraceLocationArgs

    UcTraceLocation MlflowExperimentTraceLocationUcTraceLocation
    The Unity Catalog storage location. This block consists of the following fields:
    UcTraceLocation MlflowExperimentTraceLocationUcTraceLocation
    The Unity Catalog storage location. This block consists of the following fields:
    uc_trace_location object
    The Unity Catalog storage location. This block consists of the following fields:
    ucTraceLocation MlflowExperimentTraceLocationUcTraceLocation
    The Unity Catalog storage location. This block consists of the following fields:
    ucTraceLocation MlflowExperimentTraceLocationUcTraceLocation
    The Unity Catalog storage location. This block consists of the following fields:
    uc_trace_location MlflowExperimentTraceLocationUcTraceLocation
    The Unity Catalog storage location. This block consists of the following fields:
    ucTraceLocation Property Map
    The Unity Catalog storage location. This block consists of the following fields:

    MlflowExperimentTraceLocationUcTraceLocation, MlflowExperimentTraceLocationUcTraceLocationArgs

    Catalog string
    Name of the Unity Catalog catalog.
    Schema string
    Name of the Unity Catalog schema within catalog.
    EffectiveTablePrefix string
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    TablePrefix string
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    Catalog string
    Name of the Unity Catalog catalog.
    Schema string
    Name of the Unity Catalog schema within catalog.
    EffectiveTablePrefix string
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    TablePrefix string
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    catalog string
    Name of the Unity Catalog catalog.
    schema string
    Name of the Unity Catalog schema within catalog.
    effective_table_prefix string
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    table_prefix string
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    catalog String
    Name of the Unity Catalog catalog.
    schema String
    Name of the Unity Catalog schema within catalog.
    effectiveTablePrefix String
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    tablePrefix String
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    catalog string
    Name of the Unity Catalog catalog.
    schema string
    Name of the Unity Catalog schema within catalog.
    effectiveTablePrefix string
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    tablePrefix string
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    catalog str
    Name of the Unity Catalog catalog.
    schema str
    Name of the Unity Catalog schema within catalog.
    effective_table_prefix str
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    table_prefix str
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.
    catalog String
    Name of the Unity Catalog catalog.
    schema String
    Name of the Unity Catalog schema within catalog.
    effectiveTablePrefix String
    The trace-table prefix actually in effect: tablePrefix if it was set on creation, otherwise the server-generated default.
    tablePrefix String
    Prefix for the generated trace tables (named {catalog}.{schema}.{table_prefix}_otel_*). If omitted, the server generates a default prefix derived from the experiment ID; the field then stays empty and the resolved value is available in effectiveTablePrefix.

    Package Details

    Repository
    databricks pulumi/pulumi-databricks
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the databricks Terraform Provider.
    databricks logo
    Viewing docs for Databricks v1.101.0
    published on Thursday, Jul 30, 2026 by Pulumi
    Schema (JSON)
    pulumi/pulumi-databricks

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