dbpack
layotto
dbpack | layotto | |
---|---|---|
37 | 1 | |
349 | 801 | |
0.6% | 0.5% | |
3.2 | 6.1 | |
5 months ago | 4 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dbpack
- DBPack has released `sharding databases && tables` at v0.5.0
- DBPack released read-write splitting function
-
Use dbpack can automatically record AuditLog
The design idea of dbpack is cloud-native, oriented to kubernetes environment, and runs as a sidecar. means that your service is to be deployed in a kubernetes cluster. The database connection is proxied by dbpack. The application client first connects to dbpack, and then dbpack connects to the physical database. Any SQL request of the application is proxied by dbpack. So you can specify a directory to have AuditLog output to. The format of the collected AuditLog is as follows: [timestamp],[username],[ip address],[connection id],[command type],[command],[sql text],[args],[affected row] The following is part of the AuditLog: 2022-06-14 07:15:44,dksl,172.18.0.1:60372,1,COM_QUERY,,SET NAMES utf8mb4,[],0 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,INSERT,INSERT INTO employees ( emp_no, birth_date, first_name, last_name, gender, hire_date ) VALUES (?, ?, ?, ?, ?, ?),['100000' '1992-01-07' 'scott' 'lewis' 'M' '2014-09-01'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,DELETE,DELETE FROM employees WHERE emp_no = ?,['100000'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,INSERT,INSERT INTO employees ( emp_no, birth_date, first_name, last_name, gender, hire_date ) VALUES (?, ?, ?, ?, ?, ?),['100001' '1992-01-07' 'scott' 'lewis' 'M' '2014-09-01'],1 2022-06-14 07:15:45,dksl,172.18.0.1:60372,1,COM_STMT_EXECUTE,SELECT,SELECT emp_no, birth_date, first_name, last_name, gender, hire_date FROM employees WHERE emp_no = ?,['100001'],0
-
Agentless Golang Distributed Transaction Solution
The distributed transaction solutions of hptx and dbpack are the same, and both are driven by ETCD. The transaction data is rolled back through the asynchronous SQL compensation mechanism. After testing, on macbook pro, hptx can coordinate 38 distributed transactions per second, at the same time, using the XA protocol to coordinate distributed transactions can only coordinate 26 transactions per second.
-
DBPack: We Released Rate Limiting And Circuit Breaker In v0.4.0
There is DBPack: https://github.com/CECTC/dbpack
layotto
What are some alternatives?
hptx - high-performance non-intrusive distributed transaction solution, inspired by kubernetes, only for golang language.
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
dbpack-samples - samples for dbpack, dbpack support any languages, and there are go、java、php、dotnet、python samples
dapr-wasm - A template project to demonstrate how to run WebAssembly functions as sidecar microservices in dapr
dbpack-doc - docs for dbpack
kuma - 🐻 The multi-zone service mesh for containers, Kubernetes and VMs. Built with Envoy. CNCF Sandbox Project.
easegress - A Cloud Native traffic orchestration system
dataplaneapi - HAProxy Data Plane API
pisanix - A Database Mesh Project Sponsored by SphereEx
ms-demo-gen - MSDGen: Generater for microservice demos of any given size and connectivity constraints.