batcher | Batcher CypherApp for Cyphernode by bullbitcoin.com
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kandi X-RAY | batcher Summary
Created by Kexkey and Francis from bullbitcoin.com.
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QUESTION
I have elasticsearch, kibana, apm-server setup in a ec2 instance. APM server is setup and getting data from other application server instances.
When I had a look into stack management apm-7.6.0 related indices have errors.
ilm.step:ERROR
...ANSWER
Answered 2021-May-04 at 04:23This apm rollover policies are created by default when using apm and these policies uses the default user 'kibana' to create it.. So Kibana user dont have access for update.
So as per documentation line if I modify the default apm rollover policy with the logged in user[having access for update ilm],then select the 'retry index' option has solved this error.
Documentation: If you use Elasticsearch’s security features, ILM performs operations as the user who last updated the policy. ILM only has the roles assigned to the user at the time of the last policy update.
QUESTION
Started receiving an error for the past couple days for persisting nested map structure as an Embedded entity. It was working early without any problem.
...ANSWER
Answered 2021-Mar-02 at 00:58One reason for this error could be that you are directly sending protobufs and serialized some bytes that are simply not a valid entity.
QUESTION
I'm new to Ubuntu, but I've got a job to install Wiki.JS with docker. It works, the server is running, but for some reason it cannot reach GraphQL API.
I've ran into the following problem:
Server:
2020-06-14T11:43:53.980Z [MASTER] error: Fetching latest updates from Graph endpoint: [ FAILED ]
2020-06-14T11:43:53.980Z [MASTER] error: request to https://graph.requarks.io failed, reason: connect ETIMEDOUT 104.26.14.122:443
2020-06-14T11:43:56.028Z [MASTER] error: Syncing locales with Graph endpoint: [ FAILED ]
2020-06-14T11:43:56.028Z [MASTER] error: request to https://graph.requarks.io failed, reason: connect ETIMEDOUT 104.26.15.122:443
Client:
Error: GraphQL error: Invalid locale or namespace
Stack trace:
...ANSWER
Answered 2020-Sep-08 at 11:16The reason you won't be able to get Wiki.JS working behind a corporate firewall is that this functionality is not implemented.
Based on this GitHub issue you can vote for this feature here.
There is a workaround mentioned in the issue (1.), but you can also sideload the missing files (2.).
1. WorkaroundI figured out a work around for this: use https://github.com/rofl0r/proxychains-ng with LD_PRELOAD. In my case, I am using docker-compose.
You have to:
- incorporate the compiled proxychains4.so in to /lib/ and set the environment variable
- create your own proxychains.conf
Here is an example:
QUESTION
I've upgraded my cluster from 6.8 to 7.93 and I can't create indices anymore At first I thought there was a problem with my default mapping but I get a mapper_parsing_exception even without specifying a mapping
...ANSWER
Answered 2020-Nov-06 at 17:33You probably have old index templates that are interfering when you create new indexes.
Try to GET _template
and see if there are any incompatible mapping parameters that you can change to make it work.
Eventually, delete old unused templates.
QUESTION
Before I refactored the code to display multiple different textures everything was working fine but now all I am getting are black boxes that are smaller than how their size supposed to be and obviously they don't have any textures! I didn't even touch the vertexes, I don't why the size is affected at all.
Screenshot (the black big box should've covered the whole screen and the small square at the bottom should've been way bigger. Have no clue what affected their size):
Shaders: (they are compiled before used)
ANSWER
Answered 2020-Oct-25 at 06:39The value to be assigned to the texture sampler uniform is not the object number of the texture. It must be the texture unit that the texture is bound to. Since your texture is bound to texture unit 0 (GL_TEXTURE0
), you need to assign 0 to the texture sampler uniform (0 is default):
glUniform1i(u_texture, TextureLoader.textures.get(it.textureName)!!)
QUESTION
I am using Channel
from System.Threading.Channels
and wants to read items in batch (5 items) and I have a method like below,
ANSWER
Answered 2020-Sep-15 at 00:21You could create a linked CancellationTokenSource
, so that you can watch simultaneously for both an external cancellation request, and an internally induced timeout. Below is an example of using this technique, by creating a ReadBatchAsync
extension method for the ChannelReader
class:
QUESTION
I am experimenting with Recoil in a React framework I am currently building. In my use case, the application will produce an action object based on user activities, and then it will send it to the server, from where it will get the application state.
The action is stored in a recoil atom
. I am using a recoil selectorFamily
that accepts an action and gets the state from the server. Here are trivial examples of what I am actually doing (code is in typescript):
ANSWER
Answered 2020-Aug-29 at 09:04The reason the warning pops up is discussed here. It's basically a logic flow mistake inside Recoil and will be fixed in the next release. Currently there is nothing you can do about it, but it only pops up in dev mode, while in production mode the warning is ignored.
QUESTION
I have a Beam pipeline that queries BigQuery and then upload results to BigTable. I'd like to scale out my BigTable instance (from 1 to 10 nodes) before my pipeline starts and then scale back down (from 10 to 1 node) after the results are loaded in to BigTable. Is there any mechanism to do this with Beam?
I'd essentially like to either have two separate transforms one at the beginning of the pipeline and one at the end that scale up and down the nodes, respectively. Or, have a DoFn
that only triggers setup()
and teardown()
on one worker.
I've attempted to use the setup()
and teardown()
of the DoFn
lifecycle functions. But, these functions get executed once per worker (and I use hundreds of workers), so it will attempt to scale up and down BigTable multiple times (and hit the instance and cluster write quotas for the day). So that doesn't really work with my use case. In any case here's a snippet of a BigTableWriteFn I've been experimenting with:
ANSWER
Answered 2020-Jul-09 at 06:44If you are running the dataflow job not as a template but as a jar in a VM or pod, then you can do this before and after the pipeline starts by executing bash commands from java. Refer this - https://stackoverflow.com/a/26830876/6849682
Command to execute -
QUESTION
I have a python27 app deployed to google app engine. Last deployment I did was 5 years ago so its been a while. The app used to work perfectly and so there was no reason for me to change anything. But today I noticed this error in the logs when I try to call the fetch
(or any other) API of google.appengine.ext.db:
ANSWER
Answered 2020-Jul-05 at 02:13Most of the solutions I came across mentioned the default service account. I also came across solutions that said to run gcloud auth application-default login
. None of these solutions worked in my case. My default service account was already setup. It even had Editor role assigned to it. This doc says
After you create an App Engine application, the App Engine default service account is created and used as the identity of the App Engine service. The App Engine default service account is associated with your Cloud project and executes tasks on behalf of your apps running in App Engine. By default, the App Engine default service account has the Editor role in the project. This means that any user account with sufficient permissions to deploy changes to the Cloud project can also run code with read/write access to all resources within that project.
and this doc says
This service account is created by Google when you create an App Engine app and is given full permissions to manage and use all Cloud services in a GCP project.
so what gives? Turns out I had to enter credit card details and enable billing.
Once I did that app started working back again!
QUESTION
...
- In Java API, No Exception is thrown, albeit erroneous transaction:
ANSWER
Answered 2020-Jul-06 at 13:19There is an important difference between running xdmp:document-delete
and using Java API to delete a document. The Java API is a wrapper for the MarkLogic REST-API, which follows the rules for a RESTful API. One important rule of a RESTful API is that calls are expected to be idempotent. In short that means that you should be able to run the call twice and get same reply both times. That is why calls to insert, update, and delete don't throw errors if the document does or does not exist.
See also for instance: https://restfulapi.net/http-methods/#delete
I'd recommend using Data Services, or custom REST extensions if you want your app to be more strict.
HTH!
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