Creating Amazon OpenSearch Ingestion pipelines - Amazon OpenSearch Service

Creating Amazon OpenSearch Ingestion pipelines

A pipeline is the mechanism that Amazon OpenSearch Ingestion uses to move data from its source (where the data comes from) to its sink (where the data goes). In OpenSearch Ingestion, the sink will always be a single Amazon OpenSearch Service domain, while the source of your data could be clients like Amazon S3, Fluent Bit, or the OpenTelemetry Collector.

For more information, see Pipelines in the OpenSearch documentation.

Prerequisites and required IAM role

To create an OpenSearch Ingestion pipeline, you must have the following resources:

  • An IAM role, called the pipeline role, that OpenSearch Ingestion assumes in order to write to the sink. You can create this role ahead of time, or you can have OpenSearch Ingestion create it automatically while you're creating the pipeline.

  • An OpenSearch Service domain or OpenSearch Serverless collection to act as the sink. If you're writing to a domain, it must be running OpenSearch 1.0 or later, or Elasticsearch 7.4 or later. The sink must have an access policy that grants the appropriate permissions to your IAM pipeline role.

For instructions to create these resources, see the following topics:

Note

If you're writing to a domain that uses fine-grained access control, there are extra steps you need to complete. See Map the pipeline role (only for domains that use fine-grained access control).

Required IAM permissions

OpenSearch Ingestion uses the following IAM permissions for creating pipelines:

  • osis:CreatePipeline – Create a pipeline.

  • osis:ValidatePipeline – Check whether a pipeline configuration is valid.

  • iam:CreateRole and iam:AttachPolicy – Have OpenSearch Ingestion automatically create the pipeline role for you.

  • iam:PassRole – Pass the pipeline role to OpenSearch Ingestion so that it can write data to the domain. This permission must be on the pipeline role resource, or simply * if you plan to use different roles in each pipeline.

For example, the following policy grants permission to create a pipeline:

{ "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Resource":"*", "Action":[ "osis:CreatePipeline", "osis:ListPipelineBlueprints", "osis:ValidatePipeline" ] }, { "Resource":[ "arn:aws:iam::your-account-id:role/pipeline-role" ], "Effect":"Allow", "Action":[ "iam:CreateRole", "iam:AttachPolicy", "iam:PassRole" ] } ] }

OpenSearch Ingestion also includes a permission called osis:Ingest, which is required in order to send signed requests to the pipeline using Signature Version 4. For more information, see Creating an ingestion role.

Note

In addition, the first user to create a pipeline in an account must have permissions for the iam:CreateServiceLinkedRole action. For more information, see pipeline role resource.

For more information about each permission, see Actions, resources, and condition keys for OpenSearch Ingestion in the Service Authorization Reference.

Specifying the pipeline version

When you create a pipeline using the configuration editor, you must specify the major version of Data Prepper that the pipeline will run. To specify the version, include the version option in your pipeline configuration:

version: "2" log-pipeline: source: ...

When you choose Create, OpenSearch Ingestion determines the latest available minor version of the major version that you specify, and provisions the pipeline with that version. For example, if you specify version: "2", and the latest supported version of Data Prepper is 2.1.1, OpenSearch Ingestion provisions your pipeline with version 2.1.1. We don't publicly display the minor version that your pipeline is running.

In order to upgrade your pipeline when a new major version of Data Prepper is available, edit the pipeline configuration and specify the new version. You can't downgrade a pipeline to an earlier version.

Note

OpenSearch Ingestion doesn't immediately support new versions of Data Prepper as soon as they're released. There will be some lag between when a new version is publicly available and when it's supported in OpenSearch Ingestion. In addition, OpenSearch Ingestion might explicitly not support certain major or minor versions altogether. For a comprehensive list, see Supported Data Prepper versions.

Any time you make a change to your pipeline that initiates a blue/green deployment, OpenSearch Ingestion can upgrade it to the latest minor version of the major version that's currently configured for the pipeline. For more information, see Blue/green deployments for pipeline updates. OpenSearch Ingestion can't change the major version of your pipeline unless you explicitly update the version option within the pipeline configuration.

Specifying the ingestion path

For pull-based sources like OTel trace and OTel metrics, OpenSearch Ingestion requires the additional path option in your source configuration. The path is a string such as /log/ingest, which represents the URI path for ingestion. This path defines the URI that you use to send data to the pipeline.

For example, say you specify the following path for a pipeline with an HTTP source:

When you ingest data into the pipeline, you must specify the following endpoint in your client configuration: https://pipeline-name-abc123.us-west-2.osis.amazonaws.com/my/test_path.

The path must start with a slash (/) and can contain the special characters '-', '_', '.', and '/', as well as the ${pipelineName} placeholder. If you use ${pipelineName} (such as /${pipelineName}/test_path), OpenSearch Ingestion replaces the variable with the name of the associated sub-pipeline.

Creating pipelines

This section describes how to create OpenSearch Ingestion pipelines using the OpenSearch Service console and the AWS CLI.

To create a pipeline, sign in to the Amazon OpenSearch Service console at https://console.aws.amazon.com/aos/home and choose Create pipeline.

Either select a blank pipeline, or choose a configuration blueprint. Blueprints include a preconfigured pipeline for a variety of common use cases. For more information, see Working with blueprints.

Choose Select blueprint.

Configure source

  1. If you're starting from a blank pipeline, select a source from the dropdown menu. Available sources might include other AWS services, OpenTelemetry, or HTTP. For more information, see Integrating Amazon OpenSearch Ingestion pipelines with other services and applications.

  2. Depending on which source you choose, configure additional settings for the source. For example, to use Amazon S3 as a source, you must specify the URL of the Amazon SQS queue from the pipeline receives messagess. For a list of supported source plugins and links to their documentation, see Supported plugins and options for Amazon OpenSearch Ingestion pipelines.

  3. For some sources, you must specify Source network options. Choose either VPC access or Public access. If you choose Public access, skip to the next step. If you choose VPC access, configure the following settings:

    Setting Description
    Endpoint management

    Choose whether you want to create your virtual private cloud (VPC) endpoints yourself, or have OpenSearch Ingestion create them for you. Endpoint management defaults to endpoints managed by OpenSearch Ingestion.

    VPC

    Choose the ID of the VPC that you want to use. The VPC and pipeline must be in the same AWS Region.

    Subnets

    Choose one or more subnets. OpenSearch Service will place a VPC endpoint and elastic network interfaces in the subnets.

    Security groups

    Choose one or more VPC security groups that allow your required application to reach the OpenSearch Ingestion pipeline on the ports (80 or 443) and protocols (HTTP or HTTPs) exposed by the pipeline.

    VPC attachment options

    If your source is a self-managed endpoint, attach your pipeline to a VPC. Choose one of the default CIDR options provided, or use a custom CIDR.

    For more information, see Configuring VPC access for Amazon OpenSearch Ingestion pipelines.

  4. Choose Next.

Configure processor

Add one or more processors to your pipeline. Processors are components within a sub-pipeline that let you filter, transform, and enrich events before publishing records to the domain or collection sink. For a list of supported processors and links to their documentation, see Supported plugins and options for Amazon OpenSearch Ingestion pipelines.

You can choose Actions and add the following:

  • Conditional routing – Routes events to different sinks based on specific conditions. For more information, see Conditional routing.

  • Sub-pipeline – Each sub-pipeline is a combination of a single source, zero or more processors, and a single sink. Only one sub-pipeline can have an external source. All others must have sources that are other sub-pipelines within the overall pipeline configuration. A single pipeline configuration can contain 1-10 sub-pipelines.

Choose Next.

Configure sink

Select the destination where the pipeline publishes records. Every sub-pipeline must contain at least one sink. You can add a maximum of 10 sinks to a pipeline.

For OpenSearch sinks, configure the following fields:

Setting Description
Network policy name

(Serverless sinks only)

If you selected an OpenSearch Serverless collection, enter a Network policy name. OpenSearch Ingestion either creates the policy if it doesn't exist, or updates it with a rule that grants access to the VPC endpoint connecting the pipeline and the collection. For more information, see Granting Amazon OpenSearch Ingestion pipelines access to collections.

Index name

The name of the index where the pipeline sends data. OpenSearch Ingestion creates this index if it doesn't already exist.

Index mapping options

Choose how the pipeline stores and indexes documents and their fields into the OpenSearch sink. If you select Dynamic mapping, OpenSearch adds fields automatically when you index a document. If you select Customize mapping, enter an index mapping template. For more information, see Index templates.

Enable DLQ

Configure an Amazon S3 dead-letter queue (DLQ) for the pipeline. For more information, see Dead-letter queues.

Additional settings

Configure advanced options for the OpenSearch sink. For more information, see Configuration options in the Data Prepper documentation.

To add an Amazon S3 sink, choose Add sink and Amazon S3. For more information, see Amazon S3 as a destination.

Choose Next.

Configure pipeline

Configure the following additional pipeline settings:

Setting Description
Pipeline name

A unique name for the pipeline.

Persistent buffer

A persistent buffer stores your data in a disk-based buffer across multiple Availability Zones. For more information, see Persistent buffering.

If you enable persistent buffering, select the AWS Key Management Service key to encrypt the buffer data.

Pipeline capacity

The minimum and maximum pipeline capacity, in Ingestion OpenSearch Compute Units (OCUs). For more information, see Scaling pipelines in Amazon OpenSearch Ingestion.

Pipeline role

The IAM role that provides the required permissions for the pipeline to write to the sink and read from pull-based sources. You can create the role yourself, or have OpenSearch Ingestion create it for you based on your selected use case.

For more information, see Setting up roles and users in Amazon OpenSearch Ingestion.

Tags

Add one or more tags to your pipeline. For more information, see Tagging Amazon OpenSearch Ingestion pipelines.

Log publishing options Enable pipeline log publishing to Amazon CloudWatch Logs. We recommend that you enable log publishing so that you can more easily troubleshoot pipeline issues. For more information, see Monitoring pipeline logs.

Choose Next., then review your pipeline configuration and choose Create pipeline.

OpenSearch Ingestion runs an asynchronous process to build the pipeline. Once the pipeline status is Active, you can start ingesting data.

The create-pipeline command accepts the pipeline configuration as a string or within a .yaml or .json file. If you provide the configuration as a string, each new line must be escaped with \n. For example, "log-pipeline:\n source:\n http:\n processor:\n - grok:\n ...

The following sample command creates a pipeline with the following configuration:

  • Minimum of 4 Ingestion OCUs, maximum of 10 Ingestion OCUs

  • Provisioned within a virtual private cloud (VPC)

  • Log publishing enabled

aws osis create-pipeline \ --pipeline-name my-pipeline \ --min-units 4 \ --max-units 10 \ --log-publishing-options IsLoggingEnabled=true,CloudWatchLogDestination={LogGroup="MyLogGroup"} \ --vpc-options SecurityGroupIds={sg-12345678,sg-9012345},SubnetIds=subnet-1212234567834asdf \ --pipeline-configuration-body "file://pipeline-config.yaml" \ --pipeline-role-arn arn:aws:iam::1234456789012:role/pipeline-role

OpenSearch Ingestion runs an asynchronous process to build the pipeline. Once the pipeline status is Active, you can start ingesting data. To check the status of the pipeline, use the GetPipeline command.

To create an OpenSearch Ingestion pipeline using the OpenSearch Ingestion API, call the CreatePipeline operation.

After your pipeline is successfully created, you can configure your client and start ingesting data into your OpenSearch Service domain. For more information, see Integrating Amazon OpenSearch Ingestion pipelines with other services and applications.

Tracking the status of pipeline creation

You can track the status of a pipeline as OpenSearch Ingestion provisions it and prepares it to ingest data.

After you initially create a pipeline, it goes through multiple stages as OpenSearch Ingestion prepares it to ingest data. To view the various stages of pipeline creation, choose the pipeline name to see its Pipeline settings page. Under Status, choose View details.

A pipeline goes through the following stages before it's available to ingest data:

  • Validation – Validating pipeline configuration. When this stage is complete, all validations have succeeded.

  • Create environment – Preparing and provisioning resources. When this stage is complete, the new pipeline environment has been created.

  • Deploy pipeline – Deploying the pipeline. When this stage is complete, the pipeline has been successfully deployed.

  • Check pipeline health – Checking the health of the pipeline. When this stage is complete, all health checks have passed.

  • Enable traffic – Enabling the pipeline to ingest data. When this stage is complete, you can start ingesting data into the pipeline.

Use the get-pipeline-change-progress command to check the status of a pipeline. The following AWS CLI request checks the status of a pipeline named my-pipeline:

aws osis get-pipeline-change-progress \ --pipeline-name my-pipeline

Response:

{ "ChangeProgressStatuses": { "ChangeProgressStages": [ { "Description": "Validating pipeline configuration", "LastUpdated": 1.671055851E9, "Name": "VALIDATION", "Status": "PENDING" } ], "StartTime": 1.671055851E9, "Status": "PROCESSING", "TotalNumberOfStages": 5 } }

To track the status of pipeline creation using the OpenSearch Ingestion API, call the GetPipelineChangeProgress operation.