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MongoDB Atlas v3.30.0 published on Friday, Mar 21, 2025 by Pulumi
pulumi/pulumi-mongodbatlas

mongodbatlas.getStreamProcessors

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MongoDB Atlas v3.30.0 published on Friday, Mar 21, 2025 by Pulumi
pulumi/pulumi-mongodbatlas

    # Data Source: mongodbatlas.getStreamProcessors

    mongodbatlas.getStreamProcessors returns all stream processors in a stream instance.

    Example Usage

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    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.mongodbatlas.StreamInstance;
import com.pulumi.mongodbatlas.StreamInstanceArgs;
import com.pulumi.mongodbatlas.inputs.StreamInstanceDataProcessRegionArgs;
import com.pulumi.mongodbatlas.StreamConnection;
import com.pulumi.mongodbatlas.StreamConnectionArgs;
import com.pulumi.mongodbatlas.inputs.StreamConnectionDbRoleToExecuteArgs;
import com.pulumi.mongodbatlas.inputs.StreamConnectionAuthenticationArgs;
import com.pulumi.mongodbatlas.inputs.StreamConnectionSecurityArgs;
import com.pulumi.mongodbatlas.StreamProcessor;
import com.pulumi.mongodbatlas.StreamProcessorArgs;
import com.pulumi.mongodbatlas.inputs.StreamProcessorOptionsArgs;
import com.pulumi.mongodbatlas.inputs.StreamProcessorOptionsDlqArgs;
import com.pulumi.mongodbatlas.MongodbatlasFunctions;
import com.pulumi.mongodbatlas.inputs.GetStreamProcessorsArgs;
import com.pulumi.mongodbatlas.inputs.GetStreamProcessorArgs;
import static com.pulumi.codegen.internal.Serialization.*;
import java.util.List;
import java.util.ArrayList;
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) {
        var example = new StreamInstance("example", StreamInstanceArgs.builder()
            .projectId(projectId)
            .instanceName("InstanceName")
            .dataProcessRegion(StreamInstanceDataProcessRegionArgs.builder()
                .region("VIRGINIA_USA")
                .cloud_provider("AWS")
                .build())
            .build());

        var example_sample = new StreamConnection("example-sample", StreamConnectionArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .connectionName("sample_stream_solar")
            .type("Sample")
            .build());

        var example_cluster = new StreamConnection("example-cluster", StreamConnectionArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .connectionName("ClusterConnection")
            .type("Cluster")
            .clusterName(clusterName)
            .dbRoleToExecute(StreamConnectionDbRoleToExecuteArgs.builder()
                .role("atlasAdmin")
                .type("BUILT_IN")
                .build())
            .build());

        var example_kafka = new StreamConnection("example-kafka", StreamConnectionArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .connectionName("KafkaPlaintextConnection")
            .type("Kafka")
            .authentication(StreamConnectionAuthenticationArgs.builder()
                .mechanism("PLAIN")
                .username(kafkaUsername)
                .password(kafkaPassword)
                .build())
            .bootstrapServers("localhost:9092,localhost:9092")
            .config(Map.of("auto.offset.reset", "earliest"))
            .security(StreamConnectionSecurityArgs.builder()
                .protocol("PLAINTEXT")
                .build())
            .build());

        var stream_processor_sample_example = new StreamProcessor("stream-processor-sample-example", StreamProcessorArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .processorName("sampleProcessorName")
            .pipeline(serializeJson(
                jsonArray(
                    jsonObject(
                        jsonProperty("$source", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-sample().connectionName())
                        ))
                    ), 
                    jsonObject(
                        jsonProperty("$emit", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-cluster().connectionName()),
                            jsonProperty("db", "sample"),
                            jsonProperty("coll", "solar"),
                            jsonProperty("timeseries", jsonObject(
                                jsonProperty("timeField", "_ts")
                            ))
                        ))
                    )
                )))
            .state("STARTED")
            .build());

        var stream_processor_cluster_to_kafka_example = new StreamProcessor("stream-processor-cluster-to-kafka-example", StreamProcessorArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .processorName("clusterProcessorName")
            .pipeline(serializeJson(
                jsonArray(
                    jsonObject(
                        jsonProperty("$source", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-cluster().connectionName())
                        ))
                    ), 
                    jsonObject(
                        jsonProperty("$emit", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-kafka().connectionName()),
                            jsonProperty("topic", "topic_from_cluster")
                        ))
                    )
                )))
            .state("CREATED")
            .build());

        var stream_processor_kafka_to_cluster_example = new StreamProcessor("stream-processor-kafka-to-cluster-example", StreamProcessorArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .processorName("kafkaProcessorName")
            .pipeline(serializeJson(
                jsonArray(
                    jsonObject(
                        jsonProperty("$source", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-kafka().connectionName()),
                            jsonProperty("topic", "topic_source")
                        ))
                    ), 
                    jsonObject(
                        jsonProperty("$emit", jsonObject(
                            jsonProperty("connectionName", mongodbatlasStreamConnection.example-cluster().connectionName()),
                            jsonProperty("db", "kafka"),
                            jsonProperty("coll", "topic_source"),
                            jsonProperty("timeseries", jsonObject(
                                jsonProperty("timeField", "ts")
                            ))
                        ))
                    )
                )))
            .state("CREATED")
            .options(StreamProcessorOptionsArgs.builder()
                .dlq(StreamProcessorOptionsDlqArgs.builder()
                    .coll("exampleColumn")
                    .connectionName(mongodbatlasStreamConnection.example-cluster().connectionName())
                    .db("exampleDb")
                    .build())
                .build())
            .build());

        final var example-stream-processors = MongodbatlasFunctions.getStreamProcessors(GetStreamProcessorsArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .build());

        final var example-stream-processor = MongodbatlasFunctions.getStreamProcessor(GetStreamProcessorArgs.builder()
            .projectId(projectId)
            .instanceName(example.instanceName())
            .processorName(stream_processor_sample_example.processorName())
            .build());

        ctx.export("streamProcessorsState", example_stream_processor.applyValue(example_stream_processor -> example_stream_processor.state()));
        ctx.export("streamProcessorsResults", example_stream_processors.applyValue(example_stream_processors -> example_stream_processors.results()));
    }
}

    resources:
  example:
    type: mongodbatlas:StreamInstance
    properties:
      projectId: ${projectId}
      instanceName: InstanceName
      dataProcessRegion:
        region: VIRGINIA_USA
        cloud_provider: AWS
  example-sample:
    type: mongodbatlas:StreamConnection
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      connectionName: sample_stream_solar
      type: Sample
  example-cluster:
    type: mongodbatlas:StreamConnection
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      connectionName: ClusterConnection
      type: Cluster
      clusterName: ${clusterName}
      dbRoleToExecute:
        role: atlasAdmin
        type: BUILT_IN
  example-kafka:
    type: mongodbatlas:StreamConnection
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      connectionName: KafkaPlaintextConnection
      type: Kafka
      authentication:
        mechanism: PLAIN
        username: ${kafkaUsername}
        password: ${kafkaPassword}
      bootstrapServers: localhost:9092,localhost:9092
      config:
        auto.offset.reset: earliest
      security:
        protocol: PLAINTEXT
  stream-processor-sample-example:
    type: mongodbatlas:StreamProcessor
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      processorName: sampleProcessorName
      pipeline:
        fn::toJSON:
          - $source:
              connectionName: ${mongodbatlasStreamConnection"example-sample"[%!s(MISSING)].connectionName}
          - $emit:
              connectionName: ${mongodbatlasStreamConnection"example-cluster"[%!s(MISSING)].connectionName}
              db: sample
              coll: solar
              timeseries:
                timeField: _ts
      state: STARTED
  stream-processor-cluster-to-kafka-example:
    type: mongodbatlas:StreamProcessor
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      processorName: clusterProcessorName
      pipeline:
        fn::toJSON:
          - $source:
              connectionName: ${mongodbatlasStreamConnection"example-cluster"[%!s(MISSING)].connectionName}
          - $emit:
              connectionName: ${mongodbatlasStreamConnection"example-kafka"[%!s(MISSING)].connectionName}
              topic: topic_from_cluster
      state: CREATED
  stream-processor-kafka-to-cluster-example:
    type: mongodbatlas:StreamProcessor
    properties:
      projectId: ${projectId}
      instanceName: ${example.instanceName}
      processorName: kafkaProcessorName
      pipeline:
        fn::toJSON:
          - $source:
              connectionName: ${mongodbatlasStreamConnection"example-kafka"[%!s(MISSING)].connectionName}
              topic: topic_source
          - $emit:
              connectionName: ${mongodbatlasStreamConnection"example-cluster"[%!s(MISSING)].connectionName}
              db: kafka
              coll: topic_source
              timeseries:
                timeField: ts
      state: CREATED
      options:
        dlq:
          coll: exampleColumn
          connectionName: ${mongodbatlasStreamConnection"example-cluster"[%!s(MISSING)].connectionName}
          db: exampleDb
variables:
  example-stream-processors:
    fn::invoke:
      function: mongodbatlas:getStreamProcessors
      arguments:
        projectId: ${projectId}
        instanceName: ${example.instanceName}
  example-stream-processor:
    fn::invoke:
      function: mongodbatlas:getStreamProcessor
      arguments:
        projectId: ${projectId}
        instanceName: ${example.instanceName}
        processorName: ${["stream-processor-sample-example"].processorName}
outputs:
  # example making use of data sources
  streamProcessorsState: ${["example-stream-processor"].state}
  streamProcessorsResults: ${["example-stream-processors"].results}

    Using getStreamProcessors

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getStreamProcessors(args: GetStreamProcessorsArgs, opts?: InvokeOptions): Promise<GetStreamProcessorsResult>
function getStreamProcessorsOutput(args: GetStreamProcessorsOutputArgs, opts?: InvokeOptions): Output<GetStreamProcessorsResult>
    def get_stream_processors(instance_name: Optional[str] = None,
                          project_id: Optional[str] = None,
                          opts: Optional[InvokeOptions] = None) -> GetStreamProcessorsResult
def get_stream_processors_output(instance_name: Optional[pulumi.Input[str]] = None,
                          project_id: Optional[pulumi.Input[str]] = None,
                          opts: Optional[InvokeOptions] = None) -> Output[GetStreamProcessorsResult]
    func LookupStreamProcessors(ctx *Context, args *LookupStreamProcessorsArgs, opts ...InvokeOption) (*LookupStreamProcessorsResult, error)
func LookupStreamProcessorsOutput(ctx *Context, args *LookupStreamProcessorsOutputArgs, opts ...InvokeOption) LookupStreamProcessorsResultOutput

    > Note: This function is named LookupStreamProcessors in the Go SDK.

    public static class GetStreamProcessors 
{
    public static Task<GetStreamProcessorsResult> InvokeAsync(GetStreamProcessorsArgs args, InvokeOptions? opts = null)
    public static Output<GetStreamProcessorsResult> Invoke(GetStreamProcessorsInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetStreamProcessorsResult> getStreamProcessors(GetStreamProcessorsArgs args, InvokeOptions options)
public static Output<GetStreamProcessorsResult> getStreamProcessors(GetStreamProcessorsArgs args, InvokeOptions options)

    fn::invoke:
  function: mongodbatlas:index/getStreamProcessors:getStreamProcessors
  arguments:
    # arguments dictionary

    The following arguments are supported:

    InstanceName string
    Human-readable label that identifies the stream instance.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    InstanceName string
    Human-readable label that identifies the stream instance.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    instanceName String
    Human-readable label that identifies the stream instance.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    instanceName string
    Human-readable label that identifies the stream instance.
    projectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    instance_name str
    Human-readable label that identifies the stream instance.
    project_id str
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    instanceName String
    Human-readable label that identifies the stream instance.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.

    getStreamProcessors Result

    The following output properties are available:

    Id string
    The provider-assigned unique ID for this managed resource.
    InstanceName string
    Human-readable label that identifies the stream instance.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    Results List<GetStreamProcessorsResult>
    Id string
    The provider-assigned unique ID for this managed resource.
    InstanceName string
    Human-readable label that identifies the stream instance.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    Results []GetStreamProcessorsResult
    id String
    The provider-assigned unique ID for this managed resource.
    instanceName String
    Human-readable label that identifies the stream instance.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    results List<GetStreamProcessorsResult>
    id string
    The provider-assigned unique ID for this managed resource.
    instanceName string
    Human-readable label that identifies the stream instance.
    projectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    results GetStreamProcessorsResult[]
    id str
    The provider-assigned unique ID for this managed resource.
    instance_name str
    Human-readable label that identifies the stream instance.
    project_id str
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    results Sequence[GetStreamProcessorsResult]
    id String
    The provider-assigned unique ID for this managed resource.
    instanceName String
    Human-readable label that identifies the stream instance.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    results List<Property Map>

    Supporting Types

    GetStreamProcessorsResult

    Id string
    Unique 24-hexadecimal character string that identifies the stream processor.
    InstanceName string
    Human-readable label that identifies the stream instance.
    Options GetStreamProcessorsResultOptions
    Optional configuration for the stream processor.
    Pipeline string
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    ProcessorName string
    Human-readable label that identifies the stream processor.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    State string

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    Stats string
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.
    Id string
    Unique 24-hexadecimal character string that identifies the stream processor.
    InstanceName string
    Human-readable label that identifies the stream instance.
    Options GetStreamProcessorsResultOptions
    Optional configuration for the stream processor.
    Pipeline string
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    ProcessorName string
    Human-readable label that identifies the stream processor.
    ProjectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    State string

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    Stats string
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.
    id String
    Unique 24-hexadecimal character string that identifies the stream processor.
    instanceName String
    Human-readable label that identifies the stream instance.
    options GetStreamProcessorsResultOptions
    Optional configuration for the stream processor.
    pipeline String
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    processorName String
    Human-readable label that identifies the stream processor.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    state String

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    stats String
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.
    id string
    Unique 24-hexadecimal character string that identifies the stream processor.
    instanceName string
    Human-readable label that identifies the stream instance.
    options GetStreamProcessorsResultOptions
    Optional configuration for the stream processor.
    pipeline string
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    processorName string
    Human-readable label that identifies the stream processor.
    projectId string
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    state string

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    stats string
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.
    id str
    Unique 24-hexadecimal character string that identifies the stream processor.
    instance_name str
    Human-readable label that identifies the stream instance.
    options GetStreamProcessorsResultOptions
    Optional configuration for the stream processor.
    pipeline str
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    processor_name str
    Human-readable label that identifies the stream processor.
    project_id str
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    state str

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    stats str
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.
    id String
    Unique 24-hexadecimal character string that identifies the stream processor.
    instanceName String
    Human-readable label that identifies the stream instance.
    options Property Map
    Optional configuration for the stream processor.
    pipeline String
    Stream aggregation pipeline you want to apply to your streaming data. MongoDB Atlas Docs contain more information. Using jsonencode is recommended when setting this attribute. For more details see the Aggregation Pipelines Documentation
    processorName String
    Human-readable label that identifies the stream processor.
    projectId String
    Unique 24-hexadecimal digit string that identifies your project. Use the /groups endpoint to retrieve all projects to which the authenticated user has access.
    state String

    The state of the stream processor. Commonly occurring states are 'CREATED', 'STARTED', 'STOPPED' and 'FAILED'. Used to start or stop the Stream Processor. Valid values are CREATED, STARTED or STOPPED. When a Stream Processor is created without specifying the state, it will default to CREATED state.

    NOTE When creating a stream processor, setting the state to STARTED can automatically start the stream processor.

    stats String
    The stats associated with the stream processor. Refer to the MongoDB Atlas Docs for more information.

    GetStreamProcessorsResultOptions

    Dlq GetStreamProcessorsResultOptionsDlq
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.
    Dlq GetStreamProcessorsResultOptionsDlq
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.
    dlq GetStreamProcessorsResultOptionsDlq
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.
    dlq GetStreamProcessorsResultOptionsDlq
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.
    dlq GetStreamProcessorsResultOptionsDlq
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.
    dlq Property Map
    Dead letter queue for the stream processor. Refer to the MongoDB Atlas Docs for more information.

    GetStreamProcessorsResultOptionsDlq

    Coll string
    Name of the collection to use for the DLQ.
    ConnectionName string
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    Db string
    Name of the database to use for the DLQ.
    Coll string
    Name of the collection to use for the DLQ.
    ConnectionName string
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    Db string
    Name of the database to use for the DLQ.
    coll String
    Name of the collection to use for the DLQ.
    connectionName String
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    db String
    Name of the database to use for the DLQ.
    coll string
    Name of the collection to use for the DLQ.
    connectionName string
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    db string
    Name of the database to use for the DLQ.
    coll str
    Name of the collection to use for the DLQ.
    connection_name str
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    db str
    Name of the database to use for the DLQ.
    coll String
    Name of the collection to use for the DLQ.
    connectionName String
    Name of the connection to write DLQ messages to. Must be an Atlas connection.
    db String
    Name of the database to use for the DLQ.

    Package Details

    Repository
    MongoDB Atlas pulumi/pulumi-mongodbatlas
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the mongodbatlas Terraform Provider.
    mongodbatlas logo
    MongoDB Atlas v3.30.0 published on Friday, Mar 21, 2025 by Pulumi
    pulumi/pulumi-mongodbatlas