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A Preview of DuckDB v2.0
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A Preview of DuckDB v2.0

Hacker News·about 1 month ago
#fmIMDZ6l

DuckDB v2.0 is coming this fall. In this post, we preview its headline features: DuckDB as a server, triggers, the VARIANT type, asynchronous I/O, a new SQL parser, a new storage format, and much more.

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Asynchronous I/O in DuckDB: Work, Thread, Work
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Asynchronous I/O in DuckDB: Work, Thread, Work

Hacker News·about 1 month ago
#xv7o25Xd
#duckdb#parquet#csv#photo#article#discussion

Starting with v2.0, scheduled for fall 2026, DuckDB will support asynchronous reads of Parquet and CSV files. This can significantly speed up queries when synchronous I/O does not saturate the available bandwidth, as is typical in EC2/S3 compute-storage…

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DuckDB Internals: Why is DuckDB Fast? (Part 1)
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DuckDB Internals: Why is DuckDB Fast? (Part 1)

Hacker News·3 months ago
#jAFSp3Jf
#greybeam#duckdb#column#query#table#article

Walk through DuckDB's internals: how it skips serialization overhead, parses and optimizes SQL, and stores data in columnar row groups with zone maps.

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Three TODOs, three weeks, one weekend: finishing pq v0.14
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Three TODOs, three weeks, one weekend: finishing pq v0.14

DEV Community·thehwang·4 months ago
#dP28fbFF
#dev#json#copilot#parquet#duckdb#file

I built jq for Parquet, then ghosted three v0.14 issues for 21 days. Here's how a hashtag, Copilot, and Cursor finally shipped them — and what I learned when DuckDB lied to me on the cover image.

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SQLite Concurrency Corruption, DuckDB Delta Writes, and DuckLake Data Inlining
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SQLite Concurrency Corruption, DuckDB Delta Writes, and DuckLake Data Inlining

DEV Community·soy·4 months ago
#NSDYDVLb
#sqlite#database#sql#software#duckdb#lake

From Dev.to - database: SQLite Concurrency Corruption, DuckDB Delta Writes, and DuckLake Data Inlining

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DuckDB vs SQLite: Embedded Databases for Analytics and Applications Compared
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DuckDB vs SQLite: Embedded Databases for Analytics and Applications Compared

DEV Community·丁久·4 months ago
#N9fi5V3Q

Compare embedded databases — DuckDB for analytical queries (OLAP), SQLite for transactional workloads (OLTP), when to use each, and how they complement.

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I Analyzed 10 Million Records in 47 Seconds Using Python + DuckDB (No Spark, No Cloud)
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I Analyzed 10 Million Records in 47 Seconds Using Python + DuckDB (No Spark, No Cloud)

DEV Community·Datta Sable·5 months ago
#eDjwbXRp
#why#sql#python#duckdb#time#pandas

From Dev.to - python: I Analyzed 10 Million Records in 47 Seconds Using Python + DuckDB (No Spark, No Cloud)

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