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d1dbb40362Tools for profiling Datasette's request/response cycle in-process with Python 3.15's profiling.sampling, plus the patches proposed by the study (one per optimisation, and ALL-combined.diff). The patches are not applied to the code. A report with measurements follows. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01F8mEgRS8swZfYqwqrVMeo5
31 lines
1.2 KiB
Diff
31 lines
1.2 KiB
Diff
diff --git a/datasette/views/base.py b/datasette/views/base.py
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index 7262edb..e773000 100644
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--- a/datasette/views/base.py
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+++ b/datasette/views/base.py
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@@ -1,6 +1,7 @@
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import csv
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import hashlib
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import sys
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+from itertools import repeat
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from datasette.utils import (
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EscapeHtmlWriter,
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@@ -247,6 +248,9 @@ async def stream_csv(datasette, fetch_data, request, database):
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writer = csv.writer(limited_writer)
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first = True
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next = None
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+ # Infinite iterator: any(map(isinstance, row, repeat_bytes)) checks
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+ # each cell of a row for bytes without a per-row Python generator
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+ repeat_bytes = repeat(bytes)
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while first or (next and stream):
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try:
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kwargs = {}
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@@ -260,7 +264,7 @@ async def stream_csv(datasette, fetch_data, request, database):
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first = False
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next = data.get("next")
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for row in data["rows"]:
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- if any(isinstance(r, bytes) for r in row):
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+ if any(map(isinstance, row, repeat_bytes)):
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new_row = []
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for column, cell in zip(headings, row):
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if isinstance(cell, bytes):
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