redis-cli | A pure go implementation of redis-cli | Command Line Interface library
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kandi X-RAY | redis-cli Summary
A pure go implementation of redis-cli.
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Trending Discussions on redis-cli
QUESTION
I have a view and I cached it in views.py using django-cacheops (https://github.com/Suor/django-cacheops):
...ANSWER
Answered 2022-Mar-19 at 14:37Since you used a named group usr
in your regex, Django passes it as a keyword argument:
QUESTION
To preface I'm fairly new to Docker, Airflow & Stackoverflow.
I've got an instance of Airflow running in Docker on an Ubuntu (20.04.3) VM.
I'm trying to get Openpyxl installed on build in order to use it as the engine for pd.read_excel
.
Here's the Dockerfile with the install command:
...ANSWER
Answered 2022-Mar-03 at 15:56We've had some problems with Airflow in Docker so we're trying to move away from it at the moment.
Some suggestions:
- Set the version of openpyxl to a specific version in requirements.txt
- Add openpyxl twice to requirements.txt
- Create a
requirements.in
file with your main components, and create arequirements.txt
off that using pip-compile. This will add subcomponents too - Try specifying a python version as well
Hopefully one of these steps will help.
QUESTION
I have a docker compose containerized client/server node app that is failing to create a stable connection to a redis cluster I have running on my local environment. The redis cluster has 6 nodes (3 master, 3 replica configuration) running on my local machine. Every time I start my app and attempt to connect to redis, the connect
event is spammed and I get the following error on my client:
ANSWER
Answered 2022-Feb-12 at 21:23The clue to the solution was found in the following log snippet:
QUESTION
I am developing an application where chats has to cached and monitored, currently it is an local application where i have installed redis and redis-cli.
The problem i'm facing is (node:5368) UnhandledPromiseRejectionWarning: Error: The client is closed
Attaching code snippet below
ANSWER
Answered 2021-Dec-01 at 20:16You should await client.connect()
before using the client
QUESTION
I’m trying to come up with the Lua script that would work with both - SCRIPT LOAD/EVALSHA and FUNCTION LOAD/FCALL (New feature of Redis 7.0).
As I understand it now - all i need is to figure out the execution context - if script is being called as EVALSHA vs. FUNCTION LOAD.
...ANSWER
Answered 2022-Feb-03 at 14:42Here is the answer I got from the Redis folks: You can check if you have redis.register_function
, if you do you are in a context of function load, otherwise eval...
QUESTION
I am running a redis server for my project and it seems to work fine. I checked it by running the command
redis-cli
But when I try running the following code it doesn't give me any response
...ANSWER
Answered 2021-Dec-21 at 15:50In your code you are creating a client, you are properly installing event handlers but you forgot to actually connect to the redis server.
Using this code:
QUESTION
const redis = require('redis');
require('dotenv').config();
console.log(process.env.redisHost, ':', process.env.redisPort);
const redisClient = redis.createClient({
host: process.env.redisHost,
port: process.env.redisPort,
password: process.env.redisKey
});
redisClient.connect();
redisClient.on('error', err => console.log('Redis error: ', err.message));
redisClient.on('connect', () => console.log('Connected to redis server'));
module.exports = redisClient;
...ANSWER
Answered 2021-Dec-08 at 12:28can you check if in the destination the port is reachable. it maybe the firewall block your access
QUESTION
I am trying to use the RestResponse
object from org.jboss.resteasy.reactive
on the return of my application resources since the javax.ws.rs.core.Response
doesn't provide the generic type.
I am getting the error when I call this endpoint:
...ANSWER
Answered 2021-Dec-06 at 16:19I just solved the problem... It was the order of dependecies. I switched quarkus-resteasy-reactive
to the top and it is working now.
QUESTION
I am trying to use redis to store sessions with express-session. Here is the code:
...ANSWER
Answered 2021-Dec-01 at 14:57This is currently a known issue. Currently connect-redis is not compatible with the latest version of node redis. https://github.com/tj/connect-redis/issues/336
Add the following to your client to fix this issue until patched:
QUESTION
As the title says, i want to setup Airflow that would run on a cluster (1 master, 2 nodes) using Docker swarm.
Current setup:
Right now i have Airflow setup that uses the CeleryExecutor that is running on single EC2.
I have a Dockerfile that pulls Airflow's image and pip install -r requirements.txt
.
From this Dockerfile I'm creating a local image and this image is used in the docker-compose.yml that spins up the different services Airflow need (webserver, scheduler, redis, flower and some worker. metadb is Postgres that is on a separate RDS).
The docker-compose is used in docker swarm mode ie. docker stack deploy . airflow_stack
Required Setup:
I want to scale the current setup to 3 EC2s (1 master, 2 nodes) that the master would run the webserver, schedule, redis and flower and the workers would run in the nodes. After searching and web and docs, there are a few things that are still not clear to me that I would love to know
- from what i understand, in order for the nodes to run the workers, the local image that I'm building from the Dockerfile need to be pushed to some repository (if it's really needed, i would use AWS ECR) for the airflow workers to be able to create the containers from that image. is that correct?
- syncing volumes and env files, right now, I'm mounting the volumes and insert the envs in the docker-compose file. would these mounts and envs be synced to the nodes (and airflow workers containers)? if not, how can make sure that everything is sync as airflow requires that all the components (apart from redis) would have all the dependencies, etc.
- one of the envs that needs to be set when using a CeleryExecuter is the broker_url, how can i make sure that the nodes recognize the redis broker that is on the master
I'm sure that there are a few more things that i forget, but what i wrote is a good start. Any help or recommendation would be greatly appreciated
Thanks!
Dockerfile:
...ANSWER
Answered 2021-Nov-27 at 14:26Sounds like you are heading in the right direction (with one general comment at the end though).
Yes, you need to push image to container registry and refer to it via public (or private if you authenticate) tag. The tag in this case is usally the
registry/name:tag
. For example you can see one of the CI images of Airlfow here: https://github.com/apache/airflow/pkgs/container/airflow%2Fmain%2Fci%2Fpython3.9 - the purpose is a bit different (we use it for our CI builds) but the mechanism is the same: you build it locally, tag with the "registry/image:tag"docker build . --tag registry/image:tag
and rundocker push registry/image:tag
. Then whenever you refer to it from your docker compose, viaregistry/image:tag
, docker compose/swarm will pull the right image. Just make sure you make unique TAGs when you build your images to know which image you push (and account for future images).Env files should be fine and they will distribute across the instances, but locally mounted volumes will not. You either need to have some shared filesystem (like NFS, maybe EFS if you use AWS) where the DAGs are stored, or use some other synchronization method to distribute the DAGs. It can be for example git-sync - which has very nice properties especially if you use Git to store the DAG files, or baking DAGs into the image (which requires to re-push images when they change). You can see different options explained in our Helm Chart https://airflow.apache.org/docs/helm-chart/stable/manage-dags-files.html
You cannot use
localhost
you need to set it to a specific host and make sure your broker URL is reachable from all instances. This can be done either by assining specific IP address/DNS name to your 'broker' instance and opening up the right ports in firewalls (make sure you control where you can reach thsoe ports from) and maybe even employing some load-balancing.
I do not know DockerSwarm well enough how difficult or easy it is to set it all up, but nonestly, that's kind of a lot of work - it seems - to do it all manually.
I would strongly, really strongly encourage you to use Kubernetes and the Helm Chart which Airlfow community develops: https://airflow.apache.org/docs/helm-chart/stable/index.html . There a lot of issues and necessary configurations either solved in the K8S (scaling, shared filesystems - PVs, networking and connectiviy, resource management etc. etc.) or by our Helm (Git-Sync side containers, broker configuration etc.)
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Install redis-cli
Sometimes I would like to access to the redis-server(or redis-proxy), but there is no redis-cli in the the production machine which is controlled by the ops guys, and I don’t have the root privilege to install one via apt-get or yum. Some people may ask that why don’t you ask the ops guys for help? I just don’t want to bother them because somtimes they are very busy, and I just want the redis-cli for single use. People may be curious that why don’t I git clone one from github and build it from source.
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