< kapa ai> 2026 03 26 08 21 37 365 io executor thread 7 WARN Airbyte #replication-ask-ai

<@U04S8PLJWMT> 2026-03-26 08:21:37,365 [io-executo...

Piyush Shakya

03/26/2026, 8:42 AM

@kapa.ai 2026-03-26 082137,365 [io-executor-thread-7] WARN i.a.c.e.EntitlementServiceImpl(hasEnterpriseConnectorEntitlements-Y0BDzM4):185 - Connector entitlement not available. actorDefinitionId=ab26f98b-e0cd-4513-9975-0741a97441dc organizationId=OrganizationId(value=00000000-0000-0000-0000-000000000000)

kapa.ai

03/26/2026, 8:42 AM

The warning message you're seeing indicates that your Airbyte instance is checking for enterprise connector entitlements for a specific

actorDefinitionId

, but the entitlement is not available for your organization (which appears to be using the default/null organization ID

00000000-0000-0000-0000-000000000000

). This is related to enterprise connectors — connectors that are part of the Airbyte Self-Managed Enterprise edition. The

actor_definition

table has an

enterprise

boolean column that flags whether a connector is part of the enterprise edition. [actor_definition docs] This warning is consistent with a known issue where Airbyte attempts to fetch enterprise connector stubs but receives errors (e.g., HTTP 403) when the deployment doesn't have the proper enterprise entitlements or license configured. [GitHub issue] Possible causes and next steps: 1. No valid enterprise license key: Airbyte Self-Managed Enterprise requires a valid license key. If you don't have one, you won't have entitlements for enterprise connectors. You should talk to sales to obtain a license key. [Self-Managed Enterprise] 2. Organization ID is null/default: The

organizationId

showing as all zeros (

00000000-0000-0000-0000-000000000000

) suggests the organization may not be properly configured in your deployment. 3. Network/connectivity issue: The entitlement check may be failing because your instance cannot reach Airbyte's remote services (e.g., due to firewall rules or air-gapped environments). The knowledge sources don't contain enough detail about the specific

EntitlementServiceImpl

logic to provide a definitive fix, but the most likely resolution is ensuring you have a valid Self-Managed Enterprise license key properly configured in your deployment. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

Piyush Shakya

03/26/2026, 8:43 AM

@kapa.ai but i am using community edition on the

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global:
   edition: community

kapa.ai

03/26/2026, 8:43 AM

That's a valid point. You're running the Community Edition with

global.edition: community

, yet you're seeing entitlement checks for enterprise connectors. This is a known behavior in Airbyte. Based on the knowledge sources, there is a related issue where Airbyte's server attempts to fetch enterprise connector stubs (from

connector_stubs.json

) even on Community Edition deployments, resulting in errors or warnings when those entitlements aren't available. [GitHub issue] The warning you're seeing —

Connector entitlement not available

— appears to be logged when the system checks enterprise entitlements for connectors that are flagged as

enterprise: true

in the

actor_definition

table, regardless of the edition you're running. [actor_definition docs] In short: This warning is expected/benign on Community Edition — it means the entitlement check ran, found no enterprise license (as expected for CE), and logged a warning. It should not block normal Community Edition functionality. However, the knowledge sources do not contain enough detail about the specific

EntitlementServiceImpl

behavior to confirm whether this warning has any functional impact on your CE deployment, or whether there is a configuration option to suppress it. If it is causing actual errors (not just warnings), I'd recommend opening a GitHub issue with the Airbyte team for further guidance. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

Piyush Shakya

03/26/2026, 9:00 AM

@kapa.ai does this stop connector creation ?

kapa.ai

03/26/2026, 9:00 AM

Based on the knowledge sources available to me, I cannot find specific information about whether the

Connector entitlement not available

warning blocks connector creation in Community Edition. What the knowledge sources do confirm is: • Custom connectors (connectors you build yourself) are available to Community Edition users via the Connector Builder. [connector support levels] • Enterprise connectors are exclusively for Self-Managed Enterprise and Pro customers — they are "not available to Open Source or standard Cloud customers." [connector support levels] So the entitlement warning is specifically about enterprise connectors, not about your ability to create custom connectors in general. If you are trying to create a custom connector via the Connector Builder and it's failing, that is more likely related to a separate known issue around ingress/routing configuration (e.g., needing to configure ingress rules for

airbyte-connector-builder-server-svc

), not the entitlement warning. [GitHub issue] The knowledge sources do not contain enough information to definitively confirm whether this specific warning causes any functional blockage on connector creation in CE. If you are experiencing actual failures (not just the warning), I'd recommend checking whether the Connector Builder is properly accessible in your deployment and opening a GitHub issue if needed. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

Piyush Shakya

03/26/2026, 9:01 AM

@kapa.ai I cant create a s3 connector and i am getting this error

kapa.ai

03/26/2026, 9:01 AM

Based on the knowledge sources, there is an open GitHub issue specifically about the S3 connector failing to be created, which may match your situation. [S3 connector issue] Here are the key things to check: 1. Bucket Name Format Make sure you are entering only the bucket name in the "Bucket" field, not a full path. One user reported that entering

my_bucket_name/path/to/my/parquet/files/

(with a path) caused failures. The bucket field should just be

my_bucket_name

. 2. AWS Credentials Ensure you are providing: • AWS Access Key ID • AWS Secret Access Key Using an IAM Role without explicit credentials (e.g., relying on an EC2 instance role) has historically caused

AccessDenied

errors with the S3 connector. [EC2 IAM Role issue] 3. Endpoint Format The endpoint should be set correctly (e.g.,

s3.us-east-1.amazonaws.com

). 4. Platform Infrastructure A contributor on the GitHub issue noted that the S3 connector creation failure may actually be a platform infrastructure error, not a connector bug — meaning it could be related to your Airbyte deployment itself rather than your S3 configuration. [S3 connector issue] Could you share the exact error message you're seeing when the connector creation fails? That would help narrow down the cause. The knowledge sources don't contain enough detail to pinpoint the exact issue without the specific error output. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

Piyush Shakya

03/26/2026, 9:01 AM

@kapa.ai i am getting error when trying to create a connector

kapa.ai

03/26/2026, 9:01 AM

To help you troubleshoot the S3 connector creation error, could you please share the exact error message you're seeing? That would allow for a more precise diagnosis. In the meantime, based on the knowledge sources, here are the most common causes of S3 connector creation failures: Common Causes 1. Invalid or missing AWS credentials ◦ Verify your AWS Access Key ID and AWS Secret Access Key are correct and active. ◦ Log into the AWS Console → IAM → Users → Security credentials tab → confirm the key is listed and active. ◦ Check for typos or extra spaces in the credentials. [S3 troubleshooting] 1. IAM Role-based authentication issues ◦ If you're running on GKE or outside AWS and trying to use role-based auth, there is a known issue where the connector may not correctly pass the configured credentials to the boto session. [source-s3 IAM issue] 1. Platform infrastructure error ◦ A contributor noted that S3 connector creation failures can sometimes be a platform infrastructure error, not a connector configuration issue. [S3 connector issue] 1. Helm/Kubernetes deployment specifics ◦ If you're deploying via Helm, there have been reports of S3 credential errors that don't occur with Docker Compose, suggesting a Helm-specific configuration issue. [Helm S3 issue] Please share the specific error message so I can give you a more targeted answer. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

Muhammad Nauman

03/26/2026, 10:05 AM

@Piyush Shakya did you find solution for this, facing the same

Piyush Shakya

03/26/2026, 1:06 PM

@Muhammad Nauman Nope have you got this as well

Muhammad Nauman

03/26/2026, 2:35 PM

I have upgrade to 2.0.1 from 1.8.5 and got into this issue still havent figured out

Piyush Shakya

03/26/2026, 3:07 PM

same

Piyush Shakya

03/26/2026, 3:07 PM

are u able to create connections ?>

Piyush Shakya

03/26/2026, 3:07 PM

@Muhammad Nauman

Piyush Shakya

03/26/2026, 8:00 PM

@kapa.ai what does workloads value do ? in values.yaml

kapa.ai

03/26/2026, 8:00 PM

Based on the knowledge sources, here is what the

workload-launcher

section in

values.yaml

configures: workload-launcher in values.yaml The

workload-launcher

is the Airbyte component responsible for picking up queued jobs and launching the Kubernetes pods that execute connector operations (Sync, Check, Discover, Spec, etc.). [Scaling Airbyte] Key configurable parameters include: [Values.yaml reference] The workload launcher throttles job creation based on available resources to minimize deadlock situations, and jobs stay queued until resources are available. [Workloads & Jobs] 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help., with interactive elements

Piyush Shakya

03/26/2026, 8:01 PM

i mean this value

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workloads:
    secretName: ""
    namespace: jobs

    images:
      workloadInit: ""
      connectorSideCar: ""
      containerOrchestrator: ""

    containerOrchestrator:
      secretName: ""
      secretMountPath: ""

      dataPlane:
        secretName: ""
        secretMountPath: ""

    queues:
      check: [CHECK_CONNECTION]
      discover: [DISCOVER_SCHEMA]
      sync: [SYNC]

    pubSub:
      enabled: false
      topicName: ""

    resources:
      useConnectorResourceDefaults: true

      mainContainer:
        cpu: {}
        memory: {}
      check:
        cpu: {}
        memory: {}
      discover:
        cpu: {}
        memory: {}
      replication:
        cpu: {}
        memory: {}
      sidecar:
        cpu: {}
        memory: {}

      fileTransfer:
        storage:
          request: 5G
          limit: 5G

Piyush Shakya

03/26/2026, 8:01 PM

@kapa.ai i mean thsi value

Copy code

workloads:
    secretName: ""
    namespace: jobs

    images:
      workloadInit: ""
      connectorSideCar: ""
      containerOrchestrator: ""

    containerOrchestrator:
      secretName: ""
      secretMountPath: ""

      dataPlane:
        secretName: ""
        secretMountPath: ""

    queues:
      check: [CHECK_CONNECTION]
      discover: [DISCOVER_SCHEMA]
      sync: [SYNC]

    pubSub:
      enabled: false
      topicName: ""

    resources:
      useConnectorResourceDefaults: true

      mainContainer:
        cpu: {}
        memory: {}
      check:
        cpu: {}
        memory: {}
      discover:
        cpu: {}
        memory: {}
      replication:
        cpu: {}
        memory: {}
      sidecar:
        cpu: {}
        memory: {}

      fileTransfer:
        storage:
          request: 5G
          limit: 5G

kapa.ai

03/26/2026, 8:02 PM

The knowledge sources provided do not contain enough information to explain the specific

workloads:

block you've shared in detail. This configuration structure (with sub-keys like

queues

pubSub

resources.useConnectorResourceDefaults

fileTransfer

, etc.) is not covered in the

values.yaml

reference documents available to me. What the knowledge sources do confirm about related concepts: • resources
for job containers (instance-wide): You can set

JOB_MAIN_CONTAINER_CPU_REQUEST

JOB_MAIN_CONTAINER_CPU_LIMIT

JOB_MAIN_CONTAINER_MEMORY_REQUEST

, and

JOB_MAIN_CONTAINER_MEMORY_LIMIT

to control resource allocation for all job containers. [Configuring Connector Resources] • workload-launcher
handles launching Kubernetes pods for connector jobs (Sync, Check, Discover, Spec). [Workloads & Jobs] • The

jobs.resources.requests

and

jobs.resources.limits

values.yaml

control resource requests/limits for job pods. [Values.yaml reference] For the specific

workloads:

block you've shared — particularly

queues

pubSub

useConnectorResourceDefaults

, and

fileTransfer

— I cannot provide a confident explanation based on the available knowledge sources. I'd recommend consulting the Airbyte Helm chart repository directly for the most up-to-date documentation on these values. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

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