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FlyDB aims to serve as an alternative to in-memory key-value storage (such as Redis) in some cases, aiming to strike a balance between performance and storage cost. It does this by optimizing resource allocation and using cost-effective storage media. By intelligently managing data, FlyDB ensures efficient operations while minimizing storage costs. It provides a reliable solution for scenarios that require a balance between performance and storage costs.
FlyDB is a high-performance key-value (KV) storage engine based on the efficient bitcask model. It offers fast and reliable data retrieval and storage capabilities. By leveraging the simplicity and effectiveness of the bitcask model, FlyDB ensures efficient read and write operations, resulting in improved overall performance. It provides a streamlined approach to storing and accessing key-value pairs, making it an excellent choice for scenarios that require fast and responsive data access. FlyDB's focus on speed and simplicity makes it a valuable alternative for applications that prioritize performance while balancing storage costs.
You can install FlyDB using the Go command line tool:
go get github.com/ByteStorage/FlyDB@v1.0.4
Or clone this project from github:
git clone https://github.com/ByteStorage/FlyDB.git
Here is a simple example of how to use the Linux version:
See flydb/examples for details.
package main
import (
"fmt"
"github.com/ByteStorage/FlyDB/flydb"
"github.com/ByteStorage/FlyDB/config"
)
func main() {
options := config.DefaultOptions
options.DirPath = "/tmp/flydb"
db, _ := flydb.NewFlyDB(options)
err := db.Put([]byte("name"), []byte("flydb-example"))
if err != nil {
fmt.Println("Put Error => ", err)
}
val, err := db.Get([]byte("name"))
if err != nil {
fmt.Println("Get Error => ", err)
}
fmt.Println("name value => ", string(val))
err := db.Delete([]byte("name"))
if err != nil {
fmt.Println("Delete Error => ", err)
}
}
We did a simple performance test of the V1.0.4 version of FlyDB. This test mainly focused on reading and writing large-scale data, and we selected 500,000 random data for testing.
Through testing, we found that in V1.0.4, with 500,000 data:
PUT performance: 572.265968ms
GET performance: 355.943926ms
PUT performance: 569.610614ms
GET performance: 297.781977ms
If you have a better way to optimize read and write performance, please submit your 'pr'.
We compared the results of a benchmark test using FlyDB V1.0.4 with other kv databases written in golang on the market and found that the read/write performance test results exceeded most open source kv databases.
See in detail: https://github.com/ByteStorage/contrast-benchmark
goos: linux
goarch: amd64
pkg: contrast-benchmark
cpu: 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz
Benchmark_PutValue_FlyDB
Benchmark_PutValue_FlyDB-16 95023 13763 ns/op 2904 B/op 16 allocs/op
Benchmark_GetValue_FlyDB
Benchmark_GetValue_FlyDB-16 2710143 463.5 ns/op 259 B/op 5 allocs/op
Benchmark_PutValue_Badger
Benchmark_PutValue_Badger-16 59331 22711 ns/op 6006 B/op 48 allocs/op
Benchmark_GetValue_Badger
Benchmark_GetValue_Badger-16 158686 7686 ns/op 10844 B/op 42 allocs/op
Benchmark_PutValue_BoltDB
Benchmark_PutValue_BoltDB-16 32637 56519 ns/op 21009 B/op 123 allocs/op
Benchmark_GetValue_BoltDB
Benchmark_GetValue_BoltDB-16 655971 24327 ns/op 723 B/op 26 allocs/op
Benchmark_PutValue_GoLevelDB
Benchmark_PutValue_GoLevelDB-16 71931 14709 ns/op 2226 B/op 12 allocs/op
Benchmark_GetValue_GoLevelDB
Benchmark_GetValue_GoLevelDB-16 500736 2520 ns/op 1278 B/op 15 allocs/op
Benchmark_PutValue_NutsDB
Benchmark_PutValue_NutsDB-16 78801 13582 ns/op 3242 B/op 22 allocs/op
Benchmark_GetValue_NutsDB
Benchmark_GetValue_NutsDB-16 373124 5702 ns/op 1392 B/op 14 allocs/op
Benchmark_PutValue_RoseDB
Benchmark_PutValue_RoseDB-16 69776 19166 ns/op 6242 B/op 59 allocs/op
Benchmark_GetValue_RoseDB
Benchmark_GetValue_RoseDB-16 4155183 298.0 ns/op 167 B/op 4 allocs/op
Benchmark_PutValue_Pebble
Benchmark_PutValue_Pebble-16 91304 21877 ns/op 2720 B/op 8 allocs/op
Benchmark_GetValue_Pebble
Benchmark_GetValue_Pebble-16 66135 15837 ns/op 17193 B/op 22 allocs/op
PASS
If you have any questions and want to contact us, you can contact our developer team, we will reply to your email:
Team Email: [email protected]
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- Extended data structure support: including but not limited to string, list, hash, set, etc.
- Compatible with Redis protocols and commands.
- Support http services.
- Support tcp services.
- Log aggregation
- Data backup
- Distributed cluster model.
V1.0.4: The short-term support version v1.0.4 uses mmap to optimize the index part, significantly improving read and write performance compared to the v1.0.3 version. The 50w data write speed has accelerated from 1.35 seconds to 0.56 seconds, and the read speed has accelerated from 1.06 seconds to 0.355 seconds.
If you have any ideas or suggestions for FlyDB, please feel free to submit 'issues' or' pr 'on GitHub. We welcome your contributions!
Please refer to the complete specification procedure:CONTRIBUTEING
FlyDB is released under the Apache license. For details, see LICENSE file.