Troubleshooting UI Loading Issue After Executing `restoreIndices` Operation

ui
1

Original Slack Thread

<@U06TM7M40RK>
curl --location --request POST ‘https://localhost:8080/operations?action=restoreIndices’
–header ‘Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.eyJhY3RvclR5cGUiOiJVU0VSIiwiYWN0b3JJZCI6ImRhdGFodWIiLCJ0eXBlIjoiUEVSU09OQUwiLCJ2ZXJzaW9uIjoiMiIsImp0aSI6Ijg5OWNkYTUzLWRkNDYtNDIwYi1hMTg5LWJlMGY0MDM4NDIzNyIsInN1YiI6ImRhdGFodWIiLCJleHAiOjE3NDIwNDMyNDgsImlzcyI6ImRhdGFodWItbWV0YWRhdGEtc2VydmljZSJ9.LHz8NTLw79YCOrF9hoZpc0L8zlOHhRE9Jrm2lfYOgFU’
–header ‘Content-Type: application/json’
–data-raw ‘{
“urn”: “urn:li:dataFlow:(spark,Lineage_emitter_mae_disabled3,default)”
}’ getting faield

2

The restoreIndices endpoint you are trying to use is not available in all versions of DataHub. According to the <Slack discussion>, this endpoint was added in a more recent version and may not be present in older versions like v0.9.6.1.

If you are using a version that does not support this endpoint, you will encounter a 404 error. To resolve this, you should ensure that you are using a version of DataHub that includes the restoreIndices endpoint. You can check the <https://datahubproject.io/docs/0.14.0/api/restli/restore-indices|DataHub documentation> for the version you are using to confirm if this endpoint is supported.

Would you like more detailed steps on how to verify your DataHub version or how to upgrade to a version that supports this endpoint?

Sources:

3

Hi <@U0847NVBM52>, how did my answer work out for you? Need any more assistance? You can also tag <@U07FV3UHE4D> to let your fellow community members know you’re still looking for guidance.

4

<@U06TM7M40RK> <@U07FV3UHE4D> $ UI is not getting reflected - curl -X POST “http://localhost:8080/operations?action=restoreIndices” --header ‘Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.eyJhY3RvclR5cGUiOiJVU0VSIiwiYWN0b3JJZCI6ImRhdGFodWIiLCJ0eXBlIjoiUEVSU09OQUwiLCJ2ZXJzaW9uIjoiMiIsImp0aSI6IjVjNzQyMGY5LWM1NGEtNDcwYy1hMGJmLWEyN2QxZDE2OTdkZiIsInN1YiI6ImRhdGFodWIiLCJleHAiOjE3NDIwOTA0NjIsImlzcyI6ImRhdGFodWItbWV0YWRhdGEtc2VydmljZSJ9.8aNkBQlO2qvggLhY7FQ5u2pNtXGJeLBEmKAOoWHIdxw’ -H “Content-Type: application/json” -d ‘{}’
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 529 100 527 0 2 245 0 0:00:02 0:00:02 --:–:-- 246{“value”:“{args=RestoreIndicesArgs(start=0, batchSize=500, limit=0, numThreads=1, batchDelayMs=1000, gePitEpochMs=0, lePitEpochMs=1739500033321, aspectName=null, aspectNames=, urn=null, urnLike=null, urnBasedPagination=false, lastUrn=, lastAspect=), result=RestoreIndicesResult(ignored=0, rowsMigrated=416, timeSqlQueryMs=5, timeGetRowMs=2, timeUrnMs=0, timeEntityRegistryCheckMs=1, aspectCheckMs=3, createRecordMs=0, sendMessageMs=1120, defaultAspectsCreated=0, lastUrn=urn:li:telemetry:clientId, lastAspect=telemetryKey)}”}

5

The restoreIndices operation you executed seems to have completed successfully, as indicated by the response showing rowsMigrated=416. However, if the UI is not reflecting the changes, there could be a few reasons for this:

  1. Lag in UI Update: As noted in <Slack Slack discussion>, there can be a delay between the completion of the restore operation and the UI reflecting the changes. It might be worth waiting a bit longer to see if the UI updates.

  2. Elasticsearch Indexing: Ensure that Elasticsearch is correctly indexing the data. You can verify this by checking the Elasticsearch indices directly to see if the data is present. If the data is not in Elasticsearch, the UI will not be able to display it.

  3. Kafka and MAE Consumer: The Metadata Audit Event (MAE) consumer might not be processing messages correctly. Check the logs for the MAE consumer to ensure that it is consuming messages and updating the indices as expected. As per <Slack Slack thread>, issues with Kafka or the MAE consumer can prevent updates from being reflected in the UI.

  4. Check Logs for Errors: Review the logs for any errors or warnings that might indicate why the UI is not updating. This includes logs from the GMS, MAE consumer, and Elasticsearch.

  5. Clear Browser Cache: Sometimes, the browser cache can prevent the UI from showing the latest data. Try clearing your browser cache or using an incognito window to see if the UI updates.

Would you like more detailed steps on any of these troubleshooting methods?

Sources:

  • <Slack discussion on UI lag>
  • <Slack thread on Kafka and MAE consumer issues> :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.
6

<@U06TM7M40RK> I have diabled MAE consumer . Thought of restore index from mysql - Wanted to test ifmy kafka down for some time and wanted to see how missing lineage can be ingested . <@U07FV3UHE4D> 4

7

To restore indices from MySQL when the MAE consumer is disabled, you can use the restoreIndices operation to re-ingest missing lineage data. Here are the steps you can follow:

  1. Ensure Data in MySQL: First, confirm that the data you want to restore is present in your MySQL database. The restoreIndices operation will fetch the latest version of each aspect from the local database and produce Metadata Audit Events (MAE) to update the search and graph indices.

  2. Run Restore Indices Command: You can use the restoreIndices command to re-ingest the data. This can be done via the DataHub CLI or by using a direct API call. For example, using the CLI, you can run:

    datahub docker quickstart --restore-indices

    This command will re-bootstrap the index from the primary store, which is useful if your indices are corrupted or missing updates.

  3. Check Elasticsearch: After running the restore command, verify that the data is correctly indexed in Elasticsearch. You can do this by querying Elasticsearch directly to ensure that the expected documents are present.

  4. Monitor Logs: Check the logs for any errors or warnings during the restore process. This includes logs from the GMS and any other relevant components.

  5. Re-enable MAE Consumer: Once the restore operation is complete and you have verified that the data is correctly indexed, you can re-enable the MAE consumer to resume normal operations.

If you encounter any issues during this process, please let me know, and I can provide more detailed troubleshooting steps.

Sources:

8

<@U06TM7M40RK> - sh datahub-upgrade.sh -u RestoreIndices -a clean connecting to neo 4j

9

To run the RestoreIndices operation and ensure it connects to the correct database, you need to verify your configuration settings, especially if you are using Neo4j. Here are the steps you should follow:

  1. Check Environment Variables: Ensure that the environment variables are correctly set for Neo4j. According to the <https://github.com/datahub-project/datahub/blob/master/docker/datahub-upgrade/README.md|DataHub Upgrade Docker Image documentation>, you need to set the following environment variables:

    NEO4J_HOST=http://<your-neo-host>:7474
NEO4J_URI=bolt://<your-neo-host>
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=<your-password>

  2. Modify the datahub-upgrade.sh Script: If you are using the datahub-upgrade.sh script, ensure that it includes the correct environment variables for Neo4j. You can modify the script to include these variables or pass them as part of the command.

  3. Verify Neo4j Connection: Before running the RestoreIndices operation, verify that you can connect to your Neo4j instance using the provided credentials and host information. You can use a Neo4j client or a simple script to test the connection.

  4. Run the RestoreIndices Command: Once you have verified the connection settings, run the RestoreIndices command with the -a clean option to ensure that the indices are wiped and restored from scratch:

    ./datahub-upgrade.sh -u RestoreIndices -a clean

  5. Check Logs for Errors: After running the command, check the logs for any errors or warnings that might indicate issues with the Neo4j connection or the restore process.

If you encounter any specific errors or need further assistance, please let me know, and I can provide more detailed troubleshooting steps.

Sources:

10

<@U06TM7M40RK> did it - No error message . But still UI not loaded after restart

11

If the RestoreIndices operation completed without errors but the UI is still not loading, there are a few potential areas to investigate:

  1. Check Elasticsearch Indices: Ensure that the Elasticsearch indices are correctly populated. You can verify this by running the following command to list the indices and check their status:

    curl http://localhost:9200/_cat/indices?v

    Look for indices like datasetindex_v2 and corpuserindex_v2. If these indices are missing or empty, the UI will not display data correctly.

  2. Inspect UI Logs: Check the logs for the DataHub frontend service for any errors or warnings that might indicate why the UI is not loading. You can access the logs using:

    docker logs <frontend-container-id>

    or, if using Kubernetes:

    kubectl logs <frontend-pod-name>

  3. Verify GMS and MAE Consumer: Ensure that the GMS (Graph Metadata Service) and MAE (Metadata Audit Event) consumer services are running and healthy. These services are responsible for processing metadata and updating indices.

  4. Clear Browser Cache: Sometimes, the browser cache can prevent the UI from loading the latest data. Try clearing your browser cache or using an incognito window to see if the UI loads.

  5. Network and Resource Allocation: Ensure that your Docker or Kubernetes setup has sufficient resources allocated and that there are no network connectivity issues between the services.

  6. Configuration Files: Double-check your configuration files to ensure that all services are pointing to the correct endpoints and using the correct credentials.

If these steps do not resolve the issue, please let me know, and I can provide more detailed troubleshooting steps.

Sources:

  • <Slack discussion on UI issues> :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.
12

<@U06TM7M40RK> MAE disabled for me. Wanted to test from Local Database

13

If you have disabled the MAE (Metadata Audit Event) consumer and want to test restoring indices from the local database, you can follow these steps:

  1. Ensure Data in Local Database: Verify that the data you want to restore is present in your local database (e.g., MySQL or PostgreSQL). The restoreIndices operation will fetch the latest version of each aspect from the local database.

  2. Run Restore Indices Command: Use the restoreIndices command to re-ingest the data from the local database. This can be done via the DataHub CLI or by using a direct API call. For example, using the CLI, you can run:

    datahub docker quickstart --restore-indices

    This command will re-bootstrap the index from the primary store, which is useful if your indices are corrupted or missing updates.

  3. Check Elasticsearch: After running the restore command, verify that the data is correctly indexed in Elasticsearch. You can do this by querying Elasticsearch directly to ensure that the expected documents are present.

  4. Monitor Logs: Check the logs for any errors or warnings during the restore process. This includes logs from the GMS and any other relevant components.

  5. Re-enable MAE Consumer: Once the restore operation is complete and you have verified that the data is correctly indexed, you can re-enable the MAE consumer to resume normal operations.

If you encounter any issues during this process, please let me know, and I can provide more detailed troubleshooting steps.

Sources:

  • <Slack discussion on restoring indices> :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.
14

<@U06TM7M40RK> - u
• curl -u <ranger-admin-username>:<ranger-admin-password> -X POST -H “Accept: application/json” -H “Content-Type: application/json” --data @servicedef.json http://<ranger-host>:6080/service/public/v2/api/servicedef
nb getting DATA NOT FOUND ERROR

15

Sure thing! I’m looking through the available data to answer your question. Hold on a second… :hourglass_flowing_sand:

16

<@U06TM7M40RK> - u
• curl -u <ranger-admin-username>:<ranger-admin-password> -X POST -H “Accept: application/json” -H “Content-Type: application/json” --data @servicedef.js

17

To troubleshoot the issue with the curl command for registering a service definition with Apache Ranger, here are some steps you can follow:

  1. Verify File Path: Ensure that the servicedef.json file is located in the correct directory and that the path is correctly specified in the curl command. You can use an absolute path to avoid any path-related issues.

  2. Check JSON Format: Validate the servicedef.json file to ensure it is properly formatted JSON. You can use online JSON validators or tools like jq to check the syntax.

  3. Correct Ranger Host and Port: Make sure that the <ranger-host> and port 6080 are correct and that the Apache Ranger service is running. You can test this by accessing the Ranger UI in a web browser using the URL http://<ranger-host>:6080.

  4. Credentials Verification: Double-check that the <ranger-admin-username> and <ranger-admin-password> are correct and have the necessary permissions to register a service definition. You can verify this by logging into the Ranger UI with these credentials.

  5. Review Ranger Logs: Check the Apache Ranger logs for any errors or warnings that might provide more context about the issue. The logs are typically located in the Ranger installation directory under ews/logs.

  6. Network Connectivity: Ensure there are no network issues preventing the curl command from reaching the Ranger server. You can test connectivity by pinging the Ranger host or using a tool like telnet to check the port.

  7. API Endpoint: Verify that the API endpoint /service/public/v2/api/servicedef is correct and available. You can check the Ranger API documentation to confirm the endpoint.

If these steps do not resolve the issue, please let me know, and I can provide more detailed troubleshooting steps.

Sources:

18

<@U06TM7M40RK> all above is fine

19

If all the previous checks are fine and you’re still encountering issues with the curl command to register a service definition with Apache Ranger, here are a few additional steps you can take:

  1. Verbose Output: Use the -v flag with your curl command to get verbose output. This will provide more detailed information about the request and response, which can help identify where the issue might be occurring.

    curl -v -u <ranger-admin-username>:<ranger-admin-password> -X POST -H "Accept: application/json" -H "Content-Type: application/json" --data @servicedef.json http://<ranger-host>:6080/service/public/v2/api/servicedef

  2. Check for Errors in Response: Look for any error messages in the response body or headers that might indicate what is going wrong.

  3. Test with a Simple JSON: Try using a very simple JSON payload to see if the issue is with the JSON content. This can help isolate whether the problem is with the JSON structure or the server configuration.

  4. Server Configuration: Double-check the Apache Ranger server configuration to ensure it is set up to accept service definition registrations. This includes checking any security settings or access controls that might be in place.

  5. Alternative Tools: If curl continues to give issues, try using another tool like Postman to make the request. This can sometimes provide more insight into what might be going wrong.

  6. Ranger Version Compatibility: Ensure that the version of Apache Ranger you are using supports the API endpoint and functionality you are trying to use. There might be differences in API support between versions.

If you continue to face issues, please provide the verbose output from the curl command, and I can help analyze it further.

Sources:

20

<@U06TM7M40RK> error is rbkey ": xa.error.data_not_found