dtm
go-cache
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dtm | go-cache | |
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20 | 8 | |
5,149 | 7,805 | |
- | - | |
9.8 | 0.0 | |
about 2 years ago | 5 months ago | |
Go | Go | |
BSD 3-clause "New" or "Revised" License | MIT License |
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dtm
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How to reliably sync 2 application databases
- using a distributed transaction framework (like https://github.com/dtm-labs/dtm)
- Examples code for DTM Saga
- dtm 1.15.1 Released – A lightweight workflow engine to orchestrate micro-services for distributed transactions.
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Use workflow to handle distributed transactions
But in this article, we introduce a workflow pattern in github.com/dtm-labs/dtm. Under this pattern, a mixture of XA, SAGA and TCC can be applied to different branches in a single distributed transactions, allowing users to customize most of the contents of a distributed transaction, providing great flexibility.
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How to elegantly implement a multi-database outbox pattern
The open source distributed transaction framework https://github.com/dtm-labs/dtm has a two-stage message pattern inside that handles this problem very well. The following is an example of the use of an interbank transfer operation.
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How to Manage Anomalies in Saga Pattern in Microservices
The above Sub-transaction Barrier technique, when used in conjunction with the distributed transaction framework https://github.com/dtm-labs/dtm, has been made available in several language SDKs, with the following example code in Go.
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Building financial integration with Cadence in doordash
Maybe you can take a look at github.com/dtm-labs/dtm which provide built-in TCC pattern
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Understanding XA Transactions With Practical Examples in Go
Distributed XA transactions can solve the above business problem. This article presents a solution based on dtm-labs/dtm. DTM is a popular distributed transaction framework which supports XA, Saga, OutBox, and TCC patterns.
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dtm 1.13.5 Released – A distributed transaction framework that supports saga, tcc, xa, outbox patterns.
Github: https://github.com/dtm-labs/dtm
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How to Implement a Distributed Transaction Across Mysql, Redis, and Mongo
This article gives an example of implementing a distributed transaction across multiple store engines, Mysql, Redis and Mongo. This example is based on the Distributed Transaction Framework https://github.com/dtm-labs/dtm and will hopefully help to solve your problems in data consistency across microservices.
go-cache
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My first package in go. An in-memory cache package useful when creating multiple instances of the cache
Why I am creating this package? There is an already existing memory cache package which creates (One Janitor for One Cache) So I am running into issues where many go routines are running in our use cases causing the application to crash due to some memory leakage in the library itself or maybe multiple timers running at same time casuing the issue. Also this is a very popular github library but just doesn't fits when I am creating many cache instances. So thought about creating one package by myself.
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VCache vs Go-Cache
I wrote a new library called VCache (https://github.com/microup/vcache). VCahce differs from go-cache (https://github.com/patrickmn/go-cache) by using a key of type "any" instead of a key of type "string". I compared the performance of both libraries on the main operations: Add, Get, and Delete.
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Better Cache - A Lightning Fast Caching System with Full Text Search
https://github.com/patrickmn/go-cache is a well known one. My cache module is for it's fast full text search thus I recommend only using mine if u are using a pre-set cache.
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go-cache VS ccache - a user suggested alternative
2 projects | 2 Apr 2022
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Implement an in-memory cache in Golang
github.com - patrickmn/go-cache
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Log4j RCE Found
> when they went a year without a release.
Cause these libraries depend on other libraries that are probably extremely out of date at that point and have their own security vulnerabilities.
An example of a project that hasn't been dismissed as "abandoned", is https://github.com/patrickmn/go-cache because it explicitly doesnt have dependencies.
So yeah, if you have a semi-complex library, a year without a release is abandoned.
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Cache locally using text file
implementing runtime cache using map seems doable, i may just learn from github.com/patrickmn/go-cache but i dont understand what does it mean cache locally using text file. does it mean I have to:
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In-memory caching solutions
Though pretty simple but have a look at https://github.com/patrickmn/go-cache
What are some alternatives?
Seata - :fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution.
BigCache - Efficient cache for gigabytes of data written in Go.
temporal - Temporal service
groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
bolt
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
badger - Fast key-value DB in Go.
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
goose