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English(EN) I OOM'd on 100 Rows Because One File Was 590 MB

尽管有文件数量限制,大型代理跟踪文件仍会导致 OOM 错误

一位开发者在为 AgentWatch 项目验证大型代理跟踪语料库时遇到了内存不足 (OOM) 错误,尽管设置了文件数量限制。问题源于一个包含 100 行的 590 MB parquet 文件,其中每行平均包含 5.9 MB 的文本数据。验证器将整个 parquet 文件加载到内存中,然后将其转换为 Python 对象的过程导致内存显著膨胀,最终导致虚拟机被 OOM killer 终止。 AI

影响 凸显了处理大型代理跟踪数据时潜在的内存效率低下问题,影响了 AI 代理的可观测性工具。

排序理由 开发者正在排查特定工具/库的内存问题。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

尽管有文件数量限制,大型代理跟踪文件仍会导致 OOM 错误

本文如何被排名

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Tool
开发者正在排查特定工具/库的内存问题。
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infra
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High
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Debashish Ghosal ·

    I OOM'd on 100 Rows Because One File Was 590 MB

    <p>My validator got SIGKILL'd on 100 rows. Not 100 million — a hundred. And I'd already done the responsible thing and capped how many files it reads.</p> <p>The cap bounded file count, not file size. One 590 MB parquet file defeated it, and 100 rows took down a 7 GB VM.</p> <p>T…