requestid | Request ID middleware for Gin Framework | REST library
kandi X-RAY | requestid Summary
kandi X-RAY | requestid Summary
Request ID middleware for Gin Framework. Adds an indentifier to the response using the X-Request-ID header. Passes the X-Request-ID value back to the caller if it's sent in the request headers.
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Top functions reviewed by kandi - BETA
- New creates a new request header
- Basic example .
- Get returns the request ID
requestid Key Features
requestid Examples and Code Snippets
Lines of Code : 29License : Permissive (MIT)
Copypackage main
import (
"fmt"
"net/http"
"time"
"github.com/gin-contrib/requestid"
"github.com/gin-gonic/gin"
)
func main() {
r := gin.New()
r.Use(requestid.New())
// Example ping request.
r.GET("/ping", func(c *gin.Context) {
func main() {
r := gin.New()
r.Use(
requestid.New(
requestid.WithGenerator(func() string {
return "test"
}),
),
)
// Example ping request.
r.GET("/ping", func(c *gin.Context) {
c.String(http.StatusOK, "pon Community Discussions
Trending Discussions on requestid
QUESTION
I am using the task Azure file copy to upload the build artefacts to the blob container. But I am always getting an error as preceding.
ANSWER
Answered 2022-Mar-30 at 19:36After looking at this issue, I figured out what could be the reason. As you might have already known that a new service principal will be created whenever you create a service connection in the Azure DevOps, I have explained this in detail here. To make the AzureFileCopy@4 task work, we will have to add a role assignment under the Role Assignment in the resource group. You can see this when you click on the Access control (IAM). You can also click on the Manage service connection roles in the service connection you had created for this purpose, which will redirect you to the IAM screen.
- Click on the +Add and select Add role assignment
- Select the role as either
Storage Blob Data ContributororStorage Blob Data Owner - Click Next; on the next screen add the service principal as a member by searching for the name of the service principal. (You can get the name of the service principal from Azure DevOps, on the page for the Service Connection, by clicking on the
Manage Service Principallink. My service principal looked like "AzureDevOps.userna.[guid]".)
- Click on Review + assign once everything is configured.
- Wait for a few minutes and run your pipeline again. Your pipeline should run successfully now.
You can follow the same fix when you get the error "Upload to container: '' in storage account: '' with blob prefix: ''"
QUESTION
I have a kubernetes cluster that's running datadog and some microservices. Each microservice makes healthchecks every 5 seconds to make sure the service is up and running. I want to exclude these healthcheck logs from being ingested into Datadog.
I think I need to use log_processing_rules and I've tried that but the healthcheck logs are still making it into the logs section of Datadog. My current Deployment looks like this:
ANSWER
Answered 2022-Jan-12 at 20:28I think the problem is that you're defining multiple patterns; the docs state, If you want to match one or more patterns you must define them in a single expression.
Try somtething like this and see what happens:
QUESTION
I am trying to schedule a data-quality monitoring job in AWS SageMaker by following steps mentioned in this AWS documentation page. I have enabled data-capture for my endpoint. Then, trained a baseline on my training csv file and statistics and constraints are available in S3 like this:
...ANSWER
Answered 2022-Feb-26 at 04:38This happens, during the ground-truth-merge job, when the spark can't find any data either in '/opt/ml/processing/groundtruth/' or '/opt/ml/processing/input_data/' directories. And that can happen when either you haven't sent any requests to the sagemaker endpoint or there are no ground truths.
I got this error because, the folder /opt/ml/processing/input_data/ of the docker volume mapped to the monitoring container had no data to process. And that happened because, the thing that facilitates entire process, including fetching data couldn't find any in S3. and that happened because, there was an extra slash(/) in the directory to which endpoint's captured-data will be saved. to elaborate, while creating the endpoint, I had mentioned the directory as s3:////, while it should have just been s3:///. so, while the thing that copies data from S3 to docker volume tried to fetch data of that hour, the directory it tried to extract the data from was s3://////////(notice the two slashes). So, when I created the endpoint-configuration again with the slash removed in S3 directory, this error wasn't present and ground-truth-merge operation was successful as part of model-quality-monitoring.
I am answering this question because, someone read the question and upvoted it. meaning, someone else has faced this problem too. so, I have mentioned what worked for me. And I wrote this, so that StackExchange doesn't think I am spamming the forum with questions.
QUESTION
I tried all that you mentioned in the discussion here (in other questions) and at https://github.com/smartcontractkit/full-blockchain-solidity-course-py/discussions/522 , however it is not solving the issue for me, I also noticed that the current compiler version remains (current compiler is 0.6.12+commit.27d51765.Windows.msvc). But when I right click and select Solidty:Compiler information, it shows 0.8.0.
from output:
...ANSWER
Answered 2022-Jan-02 at 03:09i had the same issue. i had this compiler setting:
QUESTION
I am trying to run a command to an ecs container managed by fargate. I can establish connection as well as execute successfully but I cannot get the response from said command inside my python script.
...ANSWER
Answered 2021-Aug-05 at 14:20A quick solution is to use logging instead of pprint:
QUESTION
Using Python on an Azure HDInsight cluster, we are saving Spark dataframes as Parquet files to an Azure Data Lake Storage Gen2, using the following code:
...ANSWER
Answered 2021-Dec-17 at 16:58ABFS is a "real" file system, so the S3A zero rename committers are not needed. Indeed, they won't work. And the client is entirely open source - look into the hadoop-azure module.
the ADLS gen2 store does have scale problems, but unless you are trying to commit 10,000 files, or clean up massively deep directory trees -you won't hit these. If you do get error messages about Elliott to rename individual files and you are doing Jobs of that scale (a) talk to Microsoft about increasing your allocated capacity and (b) pick this up https://github.com/apache/hadoop/pull/2971
This isn't it. I would guess that actually you have multiple jobs writing to the same output path, and one is cleaning up while the other is setting up. In particular -they both seem to have a job ID of "0". Because of the same job ID is being used, what only as task set up and task cleanup getting mixed up, it is possible that when an job one commits it includes the output from job 2 from all task attempts which have successfully been committed.
I believe that this has been a known problem with spark standalone deployments, though I can't find a relevant JIRA. SPARK-24552 is close, but should have been fixed in your version. SPARK-33402 Jobs launched in same second have duplicate MapReduce JobIDs. That is about job IDs just coming from the system current time, not 0. But: you can try upgrading your spark version to see if it goes away.
My suggestions
- make sure your jobs are not writing to the same table simultaneously. Things will get in a mess.
- grab the most recent version spark you are happy with
QUESTION
I tried to extract data from below cbq command which was successful.
cbq -u Administrator -p Administrator -e "http://localhost:8093" --script= SELECT * FROM `sample` where customer.id=="12345'" -q | jq '.results' > temp.json;
However when I am trying to import the same data in json format to target cluster using below command I am getting error.
cbimport json -c http://{target-cluster}:8091 -u Administrator -p Administrator -b sample -d file://C:\Users\{myusername}\Desktop\temp.json -f list -g %docId%
ANSWER
Answered 2021-Dec-02 at 07:24For the cbq command, you can use the --quiet option to disable the startup connection messages and the --pretty=false to disable pretty-print. Then, to extract just the documents in cbimport json lines format, I used jq.
This worked for me -- selecting documents from travel-sample._default._default (for the jq filter, where I have _default, you would put the Bucket-name, based on your example):
QUESTION
I'm developing an external adapter and it's not working when I make a request to my local chainlink node. I have this error in the encode_tx step.
This is the error: ETHABIEncode: while converting argument 'data' from to bytes32: incorrect length: expected 32, got 32: bad input for task: bad input for task
This is the jobSpec:
...ANSWER
Answered 2021-Nov-23 at 09:56I solved this by changing the bytes32 parameter type of data in the encode_tx task.
QUESTION
Every time a new item arrives in my dynamo table, I want to run a lambda function trigger_lambda_function. This is how I define my table and trigger. However, the trigger does not work as expected.
ANSWER
Answered 2021-Nov-17 at 22:35From the aws_dynamodb_table docs, stream_arn is only available if stream_enabled is set to true. You might want to add stream_enabled = true to your DynamoDB table definition.
By default stream_enabled is set to false. You can see all the default values here for aws_dynamodb_table.
QUESTION
PHP isn't a natively supported language in AWS Lambda, but I thought I'd try my hand at getting one working, using a custom Docker image. I am using this official AWS example to structure the image.
I don't quite understand the pieces yet. I will add what files I have to this post.
Firstly, my Dockerfile:
...ANSWER
Answered 2021-Nov-14 at 23:54This problem was tricksy because there were two major interlocking problems - a seemingly excessive permissions requirement, and what struck me as a non-standard use of the ENTRYPOINT/CMD systems.
Working solutionThe Dockerfile that works is as follows:
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