locally | localStorage manager that supports expirable items | Runtime Evironment library
kandi X-RAY | locally Summary
kandi X-RAY | locally Summary
Locally is a localStorage manager that supports expirable items with timeout values and saves space by compressing them using LZW algorithm.
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QUESTION
I have created a GCP service account with org viewer permissions (I assume therefore having read rights in all projects)
...ANSWER
Answered 2021-Jun-15 at 20:49The error messages states that the service account does not have the permission compute.disks.list
.
What permissions does the role roles/resourcemanager.organizationViewer
have?
QUESTION
I am serving dash content inside a Flask app which uses blueprint for registering the routes. App setup:
- Dash is initialised with
route_pathname_prefix=/dashapp/
ANSWER
Answered 2021-Jun-15 at 10:22I was able to fix this by removing sub_filter
directive from nginx conf and updating url_prefixes in flask app. The steps I took are posted on this dash forum
QUESTION
I need to push messages to external rabbitmq. My java configuration successfully declares queue to push, but every time I try to push, I have next exception:
...ANSWER
Answered 2021-Jun-15 at 07:19I'm struggling to understand how that code fits together, but this part strikes me as definitely wrong:
QUESTION
I made a node JS application using Hapi on Windows 10. After testing it locally, the script start
would run without any problem. here is the start script inside the package.json
ANSWER
Answered 2021-Jun-15 at 10:13You need to quote the *
: nodemon -e "*" src/server.js
.
Unlike Windows' cmd, Linux shells expand wildcards (as you can see in the command actually run, above the error). In Windows it's up to the program you are calling to expand wildcards. Since that is what you want in case of nodemon, it worked "by chance" on Windows without escaping the asterisk because it doesn't have any special meaning to cmd, but in Linux it will get expanded and that's not what you want.
QUESTION
I am trying to contribute to a Github Page/Jekyll site and want to be able to visualise changes locally but when I run bundle exec jekyll serve
but I get this output:
ANSWER
Answered 2021-Feb-02 at 16:29I had the same problem and I found a workaround here at https://github.com/jekyll/jekyll/issues/8523
Add gem "webrick"
to the Gemfile in your website. Than run bundle install
At this point you can run bundle exec jekyll serve
For me it works!
QUESTION
Hello we are trying to implment a Chat feature in our already working applicaiton which is a MERN stack app, we opted to use socket.io because its fairly easy to set up and use,we managed to get it working locally but when we deployed on our dev server the chat wasn't working , we followed this socket.io document to try and solve the problem which served us well when we had the CORS problem locally , https://socket.io/docs/v3/handling-cors/ this is the server side code used :
...ANSWER
Answered 2021-Jun-14 at 20:38the solution was to use the website URL in both settings; for the cors origin address in the backend and for the socket creating in the front end so
QUESTION
I'm writing a provider for terraform to interface with an API, here's the resource schema I have:
...ANSWER
Answered 2021-Jun-14 at 19:02Your go.mod
file suggests that you are using SDK version 1.17.2, where id
is indeed recorded as a reserved attribute name.
However, it no longer seems to be present in the latest SDK release, 2.6.1. It seems that this policy changed as a result of issue #607, and the change was released for the first time in SDK release v2.1.0.
While I can't explain why the code you've shared would be raising that error, you may be able to avoid the problem by upgrading to the latest SDK version. Since it's a new major release there may be some breaking changes to consider elsewhere in the API. There's a Terraform SDK v2 upgrade guide which describes the changes and also includes a link to the tf-sdk-migrator
tool which has some automation to help with the upgrade.
QUESTION
I have built a azure function that interacts with an external API. This external API is rate limited to 350 requests per second. When I'm running my code locally I'm able to make and consume 10,000 async requests within 60 seconds.
When I deploy my code to my function app and test it. The function takes over 5 minutes to process the same amount of requests. Is there a reason as to why my function run time would increase by 5 times without any code changes?
I'm currently using the consumption plan.
...ANSWER
Answered 2021-Jun-14 at 15:29Azure Functions consumation plan has a outbound connection limit of 600 active 1200 passive per instance. You should be able to see Host thresholds exceeded: Connections
in the logs if you are exceeding this. If this is the case it is very likely that the root cause is that you are not reusing the HttpClient for C# or equivilants for other languages.
QUESTION
Been trying for days to fix this problem. Just trying to recreate a simple "Hello World" REST api with Jersey 3 and Tomcat 10 in maven. After creating the WAR file of the project I can access the index.jsp (created by default when I created the project) but when I try to access the "/helloworld" endpoint I get error 404. Here's my code:
pom.xml
...ANSWER
Answered 2021-Jun-14 at 13:32Jersey requires an appropriate container module to deploy the REST application. You added jersey-container-jdk-http
, which works with a JDK Http Server (cf. documentation).
What you need instead is the jersey-container-servlet
module (cf. documentation), which works in every Servlet 3.x environment. Therefore you need to add this dependency:
QUESTION
There is a Java 11 (SpringBoot 2.5.1) application with simple workflow:
- Upload archives (as multipart files with size 50-100 Mb each)
- Unpack them in memory
- Send each unpacked file as a message to a queue via JMS
When I run the app locally java -jar app.jar
its memory usage (in VisualVM) looks like a saw: high peaks (~ 400 Mb) over a stable baseline (~ 100 Mb).
When I run the same app in a Docker container memory consumption grows up to 700 Mb and higher until an OutOfMemoryError. It appears that GC does not work at all. Even when memory options are present (java -Xms400m -Xmx400m -jar app.jar
) the container seems to completely ignore them still consuming much more memory.
So the behavior in the container and in OS are dramatically different.
I tried this Docker image in DockerDesktop Windows 10
and in OpenShift 4.6
and got two similar pictures for the memory usage.
Dockerfile
...ANSWER
Answered 2021-Jun-13 at 03:31In Java 11, you can find out the flags that have been passed to the JVM and the "ergonomic" ones that have been set by the JVM by adding -XX:+PrintCommandLineFlags
to the JVM options.
That should tell you if the container you are using is overriding the flags you have given.
Having said that, its is (IMO) unlikely that the container is what is overriding the parameters.
It is not unusual for a JVM to use more memory that the -Xmx
option says. The explanation is that that option only controls the size of the Java heap. A JVM consumes a lot of memory that is not part of the Java heap; e.g. the executable and native libraries, the native heap, metaspace, off-heap memory allocations, stack frames, mapped files, and so on. Depending on your application, this could easily exceed 300MB.
Secondly, OOMEs are not necessarily caused by running out of heap space. Check what the "reason" string says.
Finally, this could be a difference in your app's memory utilization in a containerized environment versus when you run it locally.
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