repoll | Redis管理平台Repoll，现已开源，基于redis3.x，支持单机、哨兵以及集群模式 | Blog library

by NaNShaner Python Version: v0.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | repoll Summary

repoll is a Python library typically used in Web Site, Blog applications. repoll has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

repoll

Support

Quality

Security

License

Reuse

Support

repoll has a low active ecosystem.

It has 208 star(s) with 49 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of repoll is v0.1

Quality

repoll has 0 bugs and 0 code smells.

Security

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

repoll code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

repoll 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

repoll releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 15463 lines of code, 144 functions and 30 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed repoll and discovered the below as its top functions. This is intended to give you an instant insight into repoll implemented functionality, and help decide if they suit your requirements.

Redis text handler
Get the server user password
Execute SCP
Create the cluster configuration file
Get redis connection
Get redis status
Monitor the redis cluster not alive
Monitor the redis cluster
Approve selected assets
Update apply status
Creates a new Asset
Create a new User instance
Return the usage of redis connections
Return the configuration for the given type
Returns the number of connected clients
Deny approve new assets
Denis a new asset create
Manage memory usage
Set a configuration value
Watch for redis
Stop the Redis service
Check the redis cluster port
Start a redis service
Import Redis
Returns a standalone redis configuration

Get all kandi verified functions for this library.

repoll Key Features

No Key Features are available at this moment for repoll.

repoll Examples and Code Snippets

No Code Snippets are available at this moment for repoll.

Community Discussions

Trending Discussions on repoll

Kafka Polling Mechanism

exactly once delivery Is it possible through spring-cloud-stream-binder-kafka or spring-kafka which one to use

Kafka behaviour if consumer fail

JMS message preserve when DB down

QUESTION

Kafka Polling Mechanism

Asked 2019-Apr-18 at 07:03

Kafka messages that has been posted by the producer are keep appearing the consumer end after a specific interval

I tried to consume a message from my Kafka topic, That Time I face the issue I explained above. I suppose, it happens due to repolling after 5 mins(Which is a default poll interval) set. Is my understanding correct?

My Expected result is the message should not be reprocessed again and again. It should be processed only once. How Can I achieve that?

...

ANSWER

Answered 2019-Apr-18 at 07:03

Your configuration seems to be enable.auto.commit: false and auto.commit.interval.ms: some value

Second configuration is causing messages appearing after some specific interval(some value). Same message is appearing at consumer end for processing because the message was not processed successfully first time. If no last offset information available with zookeeper or broker, and auto.offset.reset is set to smallest (or earliest) then processing will start from 0th offset. Change auto.offset.reset to largest (or latest) if you do not want to reprocess the same message.

Source https://stackoverflow.com/questions/55697061

QUESTION

exactly once delivery Is it possible through spring-cloud-stream-binder-kafka or spring-kafka which one to use

Asked 2019-Mar-16 at 06:43

I am trying to achieve exactly once delivery using spring-cloud-stream-binder-kafka in a spring boot application. The versions I am using are:

spring-cloud-stream-binder-kafka-core-1.2.1.RELEASE
spring-cloud-stream-binder-kafka-1.2.1.RELEASE
spring-cloud-stream-codec-1.2.2.RELEASE spring-kafka-1.1.6.RELEASE
spring-integration-kafka-2.1.0.RELEASE
spring-integration-core-4.3.10.RELEASE
zookeeper-3.4.8
Kafka version : 0.10.1.1

This is my configuration (cloud-config):

...

ANSWER

Answered 2018-Jul-05 at 13:51

As explained by Marius, Kafka only maintains an offset in the log. If you process the next message, and update the offset; the failed message is lost.

You can send the failed message to a dead-letter topic (set enableDlq to true).

Recent versions of Spring Kafka (2.1.x) have special error handlers ContainerStoppingErrorHandler which stops the container when an exception occurs and SeekToCurrentErrorHandler which will cause the failed message to be redelivered.

Source https://stackoverflow.com/questions/51182670

QUESTION

Kafka behaviour if consumer fail

Asked 2018-Apr-19 at 08:44

I've looked up throught a lot of different articles about Apache Kafka transactions, recovery and exactly-once new features. Still don't understand an issue with consumer recovery. How to be sure that every message from queue will be processed even if one of consumers dies?

Let's say we have a topic partition assigned to consumer. Consumer polls a message and started to work on it. And shutted down due to power failure without commit. What will happens? Will any other consumer from the same group repoll this message?

...

ANSWER

Answered 2018-Apr-19 at 08:44

Consumers periodically send heartbeats, telling the broker that they are alive. If broker does not receive heartbeats from the consumer, it considers the consumer dead and reassigns its partitions. So, if consumer dies, its partitions will be assigned to another consumer from the group and uncommitted messages will be sent to the newly assigned consumer.

Source https://stackoverflow.com/questions/49916055

QUESTION

JMS message preserve when DB down

Asked 2017-Mar-16 at 06:54

Application Overview :

In my application we use to receive 60000 messages every day. It is using 11 MDB and MessageListener to subscribe the messages from different OMB queues and process it. Using weblogic server and JAP. We have total 32 instance for each MDB, because we have 8 different node each node's max-beans-in-free-pool is 4.

Current Problem :

When DB down, catch it in exception and rollback the transaction context so message will put back to queue. We checking if JMSXDeliveryCount is less then 100 it will retry else it will drop the message and send the email with message reference.

Problem : Message is getting lose, 100 time retry reach with in few secs. but DB may up after 2 hours.

Proposed approach :

Check database connectivity prior to processing a message, if DB connectivity isssue – sleep the thread for 5mins after repoll to check the connection. In this case each MDB can hold 32 message (Tread) in application level remaining message will be in queue. We have 11 MDB so possible of (11*32) thread will be sleep in application level.

I felt its bad to check DB connection for all message at initial level and holding 352 message (controlling 352 thread, possible of weblogic crash) in application level till DB up.

Any better approach to handle this issue in MDB level or weblogic level ?

...

ANSWER

Answered 2017-Mar-07 at 00:19

I am not familiar with Web Logic but responding with my knowledge on IBM MQ.

Have you looked at setting up Redelivery Limit and Error Destination properties for the queue from where your application is receiving messages? If the JMSXDeliveryCount property of a message exceeds Redelivery Limit, then that message will be routed to Error Destination, basically a queue or a topic. You could also setting up Redelivery Delay Override property for messages.

You can write separate logic for moving messages from Error Destination to the queue from which your application receives messages. This way messages are not lost.

More details here.

Hope this helped.

Source https://stackoverflow.com/questions/42618774

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

Vulnerabilities

No vulnerabilities reported

Install repoll

You can download it from GitHub.
You can use repoll like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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