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🔍 Query Optimization
SQL, Query Plans, Indexes, Cost Models, Database Performance
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74808
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🔗 How to optimize slow
aggregate
queries on +1M row
tables
in Ash Framework
yellowduck.be
·
6h
👁️
ClickHouse MaterializedViews
Database
Schema
as Code Intelligence
dev.to
·
1d
·
Discuss:
DEV
🔥
DataFusion
The Real
Operational
Cost of
Vacuuming
in PostgreSQL
mariadb.org
·
21h
·
Discuss:
Hacker News
🐘
PostgreSQL Internals
When search
slows
down
consideritdone.tech
·
4h
·
Discuss:
DEV
🔎
Information Retrieval
Filtered
Approximate
Nearest
Neighbor Search Cost Estimation
arxiv.org
·
15h
🎯
Vector Search
30+ Data
Engineer
Interview Questions and
Answers
analyticsvidhya.com
·
1d
🔧
Data Engineering
the
mathematics
of
compression
in database systems
bitsxpages.com
·
1h
📏
Run-Length Encoding
How to
diagnose
and fix the biggest
blocker
to PPC growth
searchengineland.com
·
7h
🗺️
Query Planning
🦆 Lance x
DuckDB
SQL Retrieval, 🚗 Uber-Scale Storage, ⚡ 1.5M
IOPS
lancedb.com
·
20h
🎯
Lance
Performance Tip of the Week #70:
Defining
and
measuring
optimization success
abseil.io
·
1d
🚀
Performance
ValkDB/postgresparser
: ANTLR-based PostgreSQL query parser for Go. Extracts tables, columns, joins, CTEs, parameters, DDL actions, and full column-usage metadata from SQL into a structured IR.
github.com
·
12h
·
Discuss:
Hacker News
,
r/devops
,
r/golang
🔥
DataFusion
Comprehensive
Data
Analytics
freelancer.pl
·
19h
📊
Data Science
Mastering Query Optimization in Go Under
Tight
Deadlines
dev.to
·
5d
·
Discuss:
DEV
🐸
Leapfrog Triejoin
Presentation: Are You Missing a Data Frame? The Power of Data
Frames
in
Java
infoq.com
·
5h
🐻❄️
Polars
Next.js Performance When You Have 200,000
Database
Rows
morley.media
·
1h
·
Discuss:
DEV
🐉
DragonflyDB
From Simple RAG to Agentic RAG:
Unlocking
Smarter AI
Workflows
as an AI Engineer
pub.towardsai.net
·
15h
🔍
RAG
freedesktop.org
data-server standard; what to do?
freedesktop.org
·
11h
·
Discuss:
r/linux
🗄️
Databases
Faster
than
Dijkstra
?
systemsapproach.org
·
13h
🔗
Graph Algorithms
Early History of a Perfect Join
Algorithm
remy.wang
·
1d
🔗
Join Algorithms
How Analysts Translate Messy Data,
DAX
, and
Dashboards
into Action Using Power BI
pragmaticinstitute.com
·
6h
·
Discuss:
DEV
🔧
Data Engineering
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