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⚙️ Database Internals
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B-tree, LSM tree, WAL, buffer pool, index structures
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171734
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21.2
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Data
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in
Golang
hister.org
·
6h
·
Discuss:
r/golang
🏠
ClickHouse
Succinct
Structure
Representations
for Efficient Query Optimization
arxiv.org
·
3d
🗄️
Databases
How I Built a Production AI
Query
Engine on 28
Tables
— And Why I Used Both Text-to-SQL and Function Calling
linkedin.com
·
1d
·
Discuss:
DEV
🏠
ClickHouse
SQLite
3.52 Released With
WAL
Corruption Fix and CLI Improvements
linuxtoday.com
·
2d
🏛️
FoundationDB
PostgreSQL
Performance Tuning
Checklist
: 2026 Complete Guide
dev.to
·
13h
·
Discuss:
DEV
🗄️
Databases
Practical
MCTS-based
Query Optimization: A
Reproducibility
Study and new
MCTS
algorithm for complex queries
arxiv.org
·
2d
🗄️
Databases
Less-relevant results
Read-Write and Read-Only
Transaction
Routing
With Spring
baeldung.com
·
3d
🏛️
FoundationDB
rogerwelin/pg
_fk_
indexer
: PostgreSQL extension for automatically indexing foreign keys
github.com
·
3d
·
Discuss:
r/PostgreSQL
🐘
NewSQL
Noémi
Ványi
: We skipped the OLAP stack and built our data warehouse in vanilla Postgres
xata.io
·
3d
·
Discuss:
Hacker News
🗄️
Databases
How do you handle
transactions
with the
repository
pattern?
rednafi.com
·
17h
🏛️
FoundationDB
glycerine/yogadb
:
YogaDB
: a flexible-address-space key-value store in pure Go/Golang (port of
FlexDB
in C). 2x faster than Pebble and 20x faster than BoltDB at ...
github.com
·
2d
·
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r/golang
🏛️
FoundationDB
How I Built a Production AI
Query
Engine on 28
Tables
— And Why I Used Both Text-to-SQL and…
pub.towardsai.net
·
2d
🏠
ClickHouse
MongoDB
Query Plan Cache Explained: Performance,
Pitfalls
, and Re-Planning
percona.com
·
4h
🗄️
Databases
Choosing
self-managed
databases
olly.world
·
1d
🗄️
Databases
Mastering the Saga Pattern:
Achieving
Data Consistency in
Microservices
dev.to
·
9h
·
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DEV
🕸️
Distributed Systems
Zombie
Accounts: How Solana's Garbage Collection Gap Enables Revival Attacks That
Drain
Programs
dreamworksecurity.hashnode.dev
·
3d
·
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DEV
🦀
Rust
Graph
Database
Comparison
gdb-engines.com
·
2d
🌍
Spanner
Nvidia
Structured
Data is the Ground Truth of AI – $120 Billion Structure Data
Ecosystem
nextbigfuture.com
·
2d
🔄
Data-Intensive Apps
Pavel
Luzanov
: PostgreSQL 19: part 4 or
CommitFest
2026-01
postgrespro.com
·
4d
🐘
NewSQL
Underrated
Postgres
: Create (Extended)
Statistics
vela.simplyblock.io
·
3d
·
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Hacker News
,
r/PostgreSQL
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ClickHouse
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