рдореБрдЦреНрдп рдордЬрдХреБрд░рд╛рдХрдбреЗ рдЬрд╛
JobCannon
рд╕рд░реНрд╡ рдХреМрд╢рд▓реНрдпреЗ

BadgerDB Key Value

Embed high-performance key-value storage in Go applications

тмв рд╢реНрд░реЗрдгреА 2рддрд╛рдВрддреНрд░рд┐рдХ
рдордзреНрдпрдо
рдкрдЧрд╛рд░рд╛рд╡рд░реАрд▓ рдкрд░рд┐рдгрд╛рдо
2 рдорд╣рд┐рдиреЗ
рд╢рд┐рдХрдгреНрдпрд╛рд╕ рд▓рд╛рдЧрдгрд╛рд░рд╛ рд╡реЗрд│
рдордзреНрдпрдо
рдХрд╛рдард┐рдгреНрдп
12
рдХрд░рд┐рдЕрд░реНрд╕
рдПрдХрд╛ рджреГрд╖реНрдЯрд┐рдХреНрд╖реЗрдкрд╛рдд

BadgerDB is an embeddable LSM-tree key-value store for Go. Mid-level Go engineers earn $125-160k; senior architects designing data systems command $210-280k.

BadgerDB Key Value рдореНрд╣рдгрдЬреЗ рдХрд╛рдп

BadgerDB is an embeddable, high-performance key-value store written in Go. It uses an LSM (Log-Structured Merge) tree architecture for fast writes, supports ACID transactions, and handles value size optimization. BadgerDB is ideal for applications requiring local persistence, caching layers, or edge computing without external database dependencies. It powers Dgraph graph database and many distributed systems. - Embedded: No separate server; runs in-process

ЁЯФз рд╕рд╛рдзрдиреЗ рдЖрдгрд┐ рдкрд░рд┐рд╕рдВрд╕реНрдерд╛
BadgerDB Go libraryTransactionsIteratorsCompression OptionsTTL SupportBackup/RestoreValue LogRocksDB compatibilityGo toolingTesting utilities

ЁЯУЛ рд╕реБрд░реВ рдХрд░рдгреНрдпрд╛рдкреВрд░реНрд╡реА

ЁЯТ░ рдкреНрд░рджреЗрд╢рд╛рдиреБрд╕рд╛рд░ рдкрдЧрд╛рд░

рдкреНрд░рджреЗрд╢рдЬреНрдпреБрдирд┐рдпрд░рдордзреНрдпрдорд╕реАрдирд┐рдпрд░
USA$90k$155k$265k
UK┬г65k┬г113k┬г193k
EUтВм61kтВм106kтВм183k
CANADAC$100kC$171kC$293k

ЁЯОУ рдкреНрд░рдорд╛рдгрдкрддреНрд░реЗ

Go Developer certification
Database Systems course

тЭУ FAQ

What's an LSM tree?
Log-Structured Merge tree: writes buffered in memory, periodically flushed to disk. Fast writes, slower reads.
Is BadgerDB suitable for production?
Yes, used in Dgraph, Tendermint, and other high-scale systems. ACID transactions, crash-safe.
How do I query by range?
Use iterators with prefix/range options. BadgerDB optimized for range scans via sorted keys.
Does BadgerDB support SQL?
No, key-value only. For SQL use SQLite, RocksDB with SQL layer, or external DB.
What's the performance vs Redis?
BadgerDB: better disk efficiency, no network latency. Redis: faster for hot data (in-memory). Use together: cache layer (Redis) + persistence (BadgerDB).
Can I backup live?
Yes, BadgerDB Backup() API safe during live operations. For durability prefer write-ahead log (WAL).

рд╣реЗ рдХреМрд╢рд▓реНрдп рддреБрдордЪреНрдпрд╛рд╕рд╛рдареА рдпреЛрдЧреНрдп рдЖрд╣реЗ рдХрд╛, рдпрд╛рдЪреА рдЦрд╛рддреНрд░реА рдирд╛рд╣реА?

рдХрд░рд┐рдЕрд░ рдореЕрдЪ рдХрд░реВрди рдкрд╛рд╣рд╛ тАФ рдЖрдореНрд╣реА рдпреЛрдЧреНрдп рдорд╛рд░реНрдЧ рд╕реБрдЪрд╡реВ.

рдорд╛рдЭреНрдпрд╛рд╕рд╛рдареА рд╕рд░реНрд╡реЛрддреНрддрдо рдХреМрд╢рд▓реНрдпреЗ рд╢реЛрдзрд╛ тЖТ

рддреБрдордЪрд╛ рдЖрджрд░реНрд╢ рдХрд░рд┐рдЕрд░ рдорд╛рд░реНрдЧ рд╢реЛрдзрд╛

реи,релреирез рдХрд░рд┐рдЕрд░рдордзреНрдпреЗ рдХреМрд╢рд▓реНрдпрд╛рдВрд╡рд░ рдЖрдзрд╛рд░рд┐рдд рдЬреБрд│рдгреА. рдореЛрдлрдд, ~3 рдорд┐рдирд┐рдЯреЗ.

рдХрд░рд┐рдЕрд░ рдореЕрдЪ рдХрд░реВрди рдкрд╛рд╣рд╛ тАФ рдореЛрдлрдд тЖТ