Getting this error:
Error while performing registry transaction operation
when trying to edit an api group. The group was working correctly before.
Related
I tried to create a Google Cloud Composer environment but in the page to set it up I get the following errors:
Service Error: Failed to load GKE machine types. Please leave the field
empty to apply default values or retry later.
Service Error: Failed to load regions. Please leave the field empty to
apply default values or retry later.
Service Error: Failed to load zones. Please leave the field empty to apply
default values or retry later.
Service Error: Failed to load service accounts. Please leave the field
empty to apply default values or retry later.
The only parameters GCP lets me change are the region and the number of nodes, but still lets me create the environment. After 30 minutes the environment crashes with the following error:
CREATE operation on this environment failed 1 day ago with the following error message:
Http error status code: 400
Http error message: BAD REQUEST
Errors in: [Web server]; Error messages:
Failed to deploy the Airflow web server. This might be a temporary issue. You can retry the operation later.
If the issue persists, it might be caused by problems with permissions or network configuration. For more information, see https://cloud.google.com/composer/docs/troubleshooting-environment-creation.
An internal error occurred while processing task /app-engine-flex/flex_await_healthy/flex_await_healthy>2021-07-20T14:31:23.047Z7050.xd.0: Your deployment has failed to become healthy in the allotted time and therefore was rolled back. If you believe this was an error, try adjusting the 'app_start_timeout_sec' setting in the 'readiness_check' section.
Got error "Another operation failed." during CP_DEPLOYMENT_CREATING_STANDARD []
Is it a problem with permissions? If so, what permissions do I need? Thank you!
It looks like more of a temporary issue:
the first set of errors is stating you cannot load the metadata :
regions list, zones list ....
you dont have a clear
PERMISSION_DENIED error
the second error: is suggesting also:
This might be a temporary issue.
I'm trying to migrate and synchronize a PostgreSQL database using AWS DMS and I'm getting the following error.
Last Error Task error notification received from subtask 0, thread 0 [reptask/replicationtask.c:2673] [1020487]
RetCode: "SQL_ERROR SqlState: 42703 NativeError: 1
Message: ERROR: column "xlog_position" does not exist; No query has been executed with that handle; RetCode: SQL_ERROR SqlState: 42P01 NativeError: 1
Message: ERROR: relation "pglogical.replication_set" does not exist; No query has been executed with that handle; RetCode: SQL_ERROR SqlState: 42703 NativeError: 1 Message: ERROR: column "xlog_position" does not exist; No query has been executed with that handle;
Could not find any supported plugins available on source; Could not resolve default plugin; Could not assign a postgres plugin to use for replication; Failure in setting Postgres CDC agent control structure; Error executing command; Stream component failed at subtask 0, component st_0_JX7ONUUGB4A2AR2VQ4FMEZ7PFU ; Stream component 'st_0_JX7ONUUGB4A2AR2VQ4FMEZ7PFU' terminated [reptask/replicationtask.c:2680] [1020487] Stop Reason FATAL_ERROR Error Level FATAL
I'm using two PostgreSQL instances as both source and target. I have already tested and verified that both database instances are accessible by replication instance. Target instance user has full access to the database. Do I need to install any plugins or do additional configurations to get this migration setup working?
I managed to resolve the issue by following the steps mentioned at
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Source.PostgreSQL.html.
The issue was due to the fact that I was using DMS engine v3.1.4 which required some additional configuration for the replication process to start. These instructions can be found at https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Source.PostgreSQL.html#CHAP_Source.PostgreSQL.v10
If you are experiencing this issue double check the DMS replication engine version. This can be viewed under Replication Instances in Resource Management.
To enable logical decoding for an Amazon RDS for PostgreSQL DB instance
The user account requires the rds_superuser role to enable logical
replication. The user account also requires the rds_replication role
to grant permissions to manage logical slots and to stream data using
logical slots.
Set the rds.logical_replication static parameter to 1. As part of
applying this parameter, we also set the parameters wal_level,
max_wal_senders, max_replication_slots, and max_connections. These
parameter changes can increase WAL generation, so you should only set
the rds.logical_replication parameter when you are using logical
slots.
Reboot the DB instance for the static rds.logical_replication
parameter to take effect.
Create a logical replication slot as explained in the next section.
This process requires that you specify a decoding plugin. Currently
we support the test_decoding output plugin that ships with
PostgreSQL.
The last item can be done with the following command:
SELECT * FROM pg_create_logical_replication_slot('test_slot', 'test_decoding');
Reference: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_PostgreSQL.html#PostgreSQL.Concepts.General.FeatureSupport.LogicalReplication
I need to run a batch job from GCS to BigQuery via Dataflow and Beam. All my files are avro with the same schema.
I've created a dataflow java application that is successful on a smaller set of data (~1gb, about 5 files).
But when I try to run it on a bigger set of data ( >500gb, >1000 files), i receive an error message
java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: java.lang.RuntimeException: Failed to create load job with id prefix 1b83679a4f5d48c5b45ff20b2b822728_6e48345728d4da6cb51353f0dc550c1b_00001_00000, reached max retries: 3, last failed load job: ...
After 3 retries it terminates with:
Workflow failed. Causes: S57....... A work item was attempted 4 times without success....
This step is the load to BigQuery.
Stack Driver says the processing is stuck in step ....for 10m00s... and
Request failed with code 409, performed 0 retries due to IOExceptions, performed 0 retries due to unsuccessful status codes.....
I looked up the 409 error code stating that I might have an existing job, dataset, or table. I've removed all the tables and re-ran the application but it still shows the same error message.
I am currently limited on 65 workers and I have them using n1-standard-4 cpus.
I believe there are other ways to move the data from gcs to bq, but i need to demonstrate dataflow.
"java.lang.RuntimeException: Failed to create job with prefix beam_load_csvtobigqueryxxxxxxxxxxxxxx, reached max retries: 3, last failed job: null.
at org.apache.beam.sdk.io.gcp.bigquery.BigQueryHelpers$PendingJob.runJob(BigQueryHelpers.java:198)..... "
One of the possible cause could be the privilege issue. Ensure the user account which interacts with the BigQuery has privilege "bigquery.jobs.create" in the predefined role "*BigQuery User"
Posting the comment of #DeaconDesperado as community wiki, where they experienced the same error and what they did was remove the restricted characters (eg. Unicode letters, marks, numbers, connectors, dashes or spaces) in the table name and the error is gone.
I got the same problem using "roles/bigquery.jobUser", "roles/bigquery.dataViewer", and "roles/bigquery.user". But only when granting "roles/bigquery.admin" did the issue get resolved.
I am trying to run my own algorithm container in amazon sagemaker,at the time of deployment time ,I am getting error like below.
predictor = tree.deploy(1, 'ml.m4.xlarge', serializer=csv_serializer)
ValueError: Error hosting endpoint decision-trees-sample-2018-03-01-09-59-06-832: Failed Reason: The primary container for production variant AllTraffic did not pass the ping health check.
then I run same line of code this time i am getting below error.
predictor = tree.deploy(1, 'ml.m4.xlarge', serializer=csv_serializer)
ClientError: An error occurred (ValidationException) when calling the CreateEndpoint operation: Cannot create already existing endpoint "arn:aws:sagemaker:us-east-1:69759707XXxXX:endpoint/decision-trees-sample-2018-03-01-09-59-06-832".
Check out this issue: https://github.com/awslabs/amazon-sagemaker-examples/issues/210
#djarpin wrote:
The ping health check message is a general error that can be caused by several different issues. Typically the error message in the CloudWatch log group named /aws/sagemaker/Endpoints/ will provide a more detailed description of why the ping health check didn't pass.
Hope that helps!
SBL-EIM-00205: Failed to load the application dictionary.
SBL-SVR-01042: Internal: Communication protocol error while instantiating new task SBL-EIM-00205: Failed to load the application dictionary.
This is a generic message, Siebel throws it all the time there is an issue in the repository. You will have to go through the log file and get the actual error message. Increase the component log level for EIM component to maximum and re-submit the job for the logs.
The structure of the EIM tables have to match the final tables, so it could be a mismatch of schema causes this error.
SBL-SVR-01042 this is generic error when this error is encountered while attempting to instantiate a new instance of a given component and is generic. As to why the error has occurred, one needs to review the accompanying error messages which will help provide context and more detailed information
SBL-EIM-00205: There could be many reason for this error.This is caused due to the incorrect ODBC registry entries. or some issue with Foreign key mapping.
You should increase log level and get more details.