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Fix high memory usage regression due to namespaces - #132

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alx75:fix-high-memory-usage
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Fix high memory usage regression due to namespaces#132
alx75 wants to merge 1 commit into
pythonicrubyist:masterfrom
alx75:fix-high-memory-usage

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@alx75

@alx75 alx75 commented May 27, 2025

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This fixes the high memory usage regression that was introduced in 2.6.2.
This fixes issue #122

Without this commit, when I try to parse a 33MB xlsx file (500_000 rows) and it consumes 8GB. With this commit it's consuming few hundreds (~300MB)

The reason lies in the namespaces due to all hash instantiation it does for all nodes.

Before this commit:
Screencast from 2025-05-27 09-54-59.webm

With this commit:
Screencast from 2025-05-27 09-58-59.webm

This fixes the high memory usage regression that was introduced in 2.6.2
@kshahkshah

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@pythonicrubyist is there any reason we can't get this one merged?

michaelbaudino added a commit to aktio-cc/creek that referenced this pull request Aug 10, 2026
`Reader#namespaces` and `Reader#attributes` both go through
`xmlTextReaderExpand()`, which materialises the subtree under the current node.
The prefix detection runs on every node until it latches, so it runs on the
worksheet root -- where "the subtree under the current node" is the entire
document. One call therefore builds a DOM of the whole worksheet and the
streaming parse is lost before the first row is yielded.

The cost is ~25x the size of the sheet XML, in native memory: 1.9 MB -> 79 MB,
7.4 MB -> 220 MB, 22.7 MB -> 592 MB, 44.8 MB -> 1120 MB. Being native, it
appears in neither `GC.stat` nor allocation profiles, which is why it survived
several rounds of allocation-focused tuning: on a 44.8 MB sheet, pythonicrubyist#138 alone
cuts wall clock in half but leaves RSS at 1149 MB, and pythonicrubyist#132 brings RSS down to
113 MB but doubles wall clock by calling `namespace_uri` on every node and
keeping `attributes` on every cell.

`Reader#prefix` and `Reader#namespace_uri` map to `xmlTextReaderConstPrefix`
and `xmlTextReaderConstNamespaceUri`, which read the current node only. Taking
the prefix from the first node that is *in* the spreadsheetml namespace, rather
than from the namespaces declared *on* it, also handles a worksheet whose root
is in another namespace while its rows are prefixed.

Measured on a real 57895-row FEC export (44.8 MB of sheet XML, 5 MB zipped),
on top of pythonicrubyist#138: 1149 MB -> 113 MB RSS and 13.2 s -> 8.7 s, with byte-identical
rows.

Claude-Session: https://claude.ai/code/session_01BNG66yvb43CB5x3mAWY64h
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2 participants