mqperf | message queues with data replication | Continuous Deployment library

by softwaremill Scala Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | mqperf Summary

mqperf is a Scala library typically used in Devops, Continuous Deployment, Docker, Kafka applications. mqperf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A benchmark of message queues with data replication and at-least-once delivery guarantees.

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Quality

Security

License

Reuse

Support

mqperf has a low active ecosystem.

It has 139 star(s) with 35 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 8 have been closed. On average issues are closed in 18 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mqperf is current.

Quality

mqperf has 0 bugs and 0 code smells.

Security

mqperf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mqperf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mqperf is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mqperf releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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mqperf Key Features

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mqperf Examples and Code Snippets

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Community Discussions

Trending Discussions on mqperf

Copying file from local machine to AWS EC2 instance

Command mqreply.c timeout

QUESTION

Copying file from local machine to AWS EC2 instance

Asked 2021-Mar-09 at 12:28

I'm using mqperf repo for benchmarking messaging queue using AWS. I'm trying to tell ansible to instead to download from a link of messaging queue, it should just copy from my machine a builded package for specific MQ.

Example when installing Artemis:

...

ANSWER

Answered 2021-Mar-09 at 10:04

You want to use the copy module in Ansible, https://docs.ansible.com/ansible/2.9/modules/copy_module.html

Source https://stackoverflow.com/questions/66544742

QUESTION

Command mqreply.c timeout

Asked 2021-Jan-15 at 10:30

We with my colleague built mqreply.sh from https://github.com/ibm-messaging/mq-rfhutil/tree/master/mqperf But we don't suggest that command mqreply has timeout after which process with command is closed.

I attach our file with params for executing mqreply:

...

ANSWER

Answered 2021-Jan-15 at 10:30

The while loop around the MQGET in the mqreply sample you link to does this:-

Source https://stackoverflow.com/questions/65731495

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mqperf

Prerequisites with tested versions:. Message queues and test servers are automatically provisioned using Ansible on AWS. You will need to have the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY present in the environment for things to work properly, as well as Ansible and Boto installed. Metrics are gathered using Prometheus and visualized using Grafana.
python 3.7.2 (via pyenv)
ansible 2.9.15 (pip install ansible==2.9.5)
boto3 1.16.32 (pip install boto3)
provision a kafka cluster by running ansible-playbook install_and_setup_kafka.yml. Note to change the size of the instance to the desired one.
provision a number of sender and receiver nodes using ansible-playbook provision_mqperf_nodes.yml. Adjust the number and size of nodes depending on the test you want to run. Keep in mind that after each code change, you'll need to remove the fat-jars from the target/scala-2.12 directory and re-run provision_mqperf_nodes.yml.
provision the prometheus/grafana server by running ansible-playbook install_and_setup_prometheus.yml. This must be done each time after provisioning new sender/receiver nodes (previous step) so that prometheus is properly configured to scrape the new servers for metrics
setup grafana: open the grafana panel on the :3000 port (admin/pass), create a new prometheus data source (local-instance-ip:3000), and import the dashboard from json (prometheus/dashboard.json)
modify run-tests.yml with the correct test name, run the test, observe results!