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	<title>《别再滥用 ClickHouse 了！单机每秒狂刷 1800 万条数据，拆解 Go+DuckDB 的“微型数仓”降维打击》的评论</title>
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	<link>https://tonybai.com/2026/03/13/go-duckdb-micro-data-warehouse-dimensionality-reduction/</link>
	<description>一个程序员的心路历程</description>
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		<title>作者：Ignacio</title>
		<link>https://tonybai.com/2026/03/13/go-duckdb-micro-data-warehouse-dimensionality-reduction/#comment-7888</link>
		<dc:creator>Ignacio</dc:creator>
		<pubDate>Sun, 15 Mar 2026 12:09:11 +0000</pubDate>
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		<description>Hi Tony,
I&#039;m Ignacio, the creator of Arc. I just came across your article and I&#039;m genuinely honored that you used Arc as a real-world example. Your breakdown of the Go + DuckDB architecture is spot on — that&#039;s exactly the design philosophy behind Arc.

If you ever want to go deeper on how Arc handles the Parquet layer, the ingestion pipeline, or anything else, I&#039;d love to connect. Happy to answer any questions or share more details.

Thank you for the great work you do for the Go community.

— Ignacio
https://github.com/Basekick-Labs/arc</description>
		<content:encoded><![CDATA[<p>Hi Tony,<br />
I&#8217;m Ignacio, the creator of Arc. I just came across your article and I&#8217;m genuinely honored that you used Arc as a real-world example. Your breakdown of the Go + DuckDB architecture is spot on — that&#8217;s exactly the design philosophy behind Arc.</p>
<p>If you ever want to go deeper on how Arc handles the Parquet layer, the ingestion pipeline, or anything else, I&#8217;d love to connect. Happy to answer any questions or share more details.</p>
<p>Thank you for the great work you do for the Go community.</p>
<p>— Ignacio<br />
<a href="https://github.com/Basekick-Labs/arc" rel="nofollow">https://github.com/Basekick-Labs/arc</a></p>
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