Files
paperless-ngx/src/documents/management/commands/document_index.py
T
df1ddb15cc Performance: Tantivy indexing optimization (#13053)
* Tantivy: get permissions by chunks

-40% indexing time compared to previous commit

* Make progress bar process one by one with chunk

-15% indexing time compared to previous commit

* Prefetch FK + iterate over chunk from SQL

Prefetch additional needed data (note user, custom field content)

-20% indexing time compared to previous commit

* Reindex: increase Tantivy heap size from 128 to 512MB

Gains probably vary depending on the machine,
but it seems a sweet spot compatible with low-end hardware.

* Reindex: optimization on permission fetching and autocomplete word set

-10% indexing time compared to previous commit

* Autocomplete analyzer python->rust

Splits words with underscore compared to the python analyzer.
E.g.: "blue_print" -> ["blue", "print"]
It can still be found with the "blue_print" keyword,
as the search string is also split in two words.

-50% indexing time compared to previous commit (indexing is twice faster!)

* Index bigram for CJK content only

Inedxing time slightly longer (~3%),
but since the non-CJK content is not indexed,
bigram searchs will be slightly optimized.

* Fix group-based view_document permissions missing from bulk rebuild

_bulk_get_viewer_ids only queried UserObjectPermission, dropping the
group-permission expansion that get_users_with_perms(with_group_users=True)
performs for the non-batched per-document indexing path. A user who could
only see a document via group membership would lose search access to it
after any full reindex.

Also query GroupObjectPermission and expand group membership to user ids,
matching the existing single-document behavior.

* Yield (document, viewer_ids) pairs from _DocumentViewerStream

Previously _DocumentViewerStream.__iter__ yielded plain Document objects
while the matching viewer ids were exposed through a separate mutable
attribute (viewer_ids_by_pk), overwritten each time the generator crossed
a chunk boundary. rebuild() read that attribute out-of-band per document.

This only worked because the current iter_wrapper (a plain progress-bar
passthrough) happens to consume the stream in strict lock-step with no
lookahead. Any wrapper that buffers, batches, or reorders would silently
pair a document with the wrong chunk's viewer ids. Yield the pair directly
so the association travels with the document regardless of how iter_wrapper
consumes the stream, and drop the now-unneeded viewer_ids_by_pk attribute.

* Add --heap-size-mb CLI arg to document_index reindex

writer_heap_bytes was hardcoded at 512MB with no way to tune it. Expose it
as a manual-rebuild-only CLI arg rather than a settings/env var, per review
feedback, so lower-memory hosts can reduce it without a wider config
surface. Defaults to unset so TantivyBackend.rebuild's own default stays
the single source of truth.

---------

Co-authored-by: stumpylog <797416+stumpylog@users.noreply.github.com>
2026-07-17 11:33:09 -07:00

103 lines
3.6 KiB
Python

import logging
from django.conf import settings
from django.db import transaction
from documents.management.commands.base import PaperlessCommand
from documents.models import Document
from documents.search import get_backend
from documents.search import needs_rebuild
from documents.search import reset_backend
from documents.search import wipe_index
logger = logging.getLogger("paperless.management.document_index")
class Command(PaperlessCommand):
"""
Django management command for search index operations.
Provides subcommands for reindexing documents and optimizing the search index.
Supports conditional reindexing based on schema version and language changes.
"""
help = "Manages the document index."
supports_progress_bar = True
supports_multiprocessing = False
def add_arguments(self, parser):
super().add_arguments(parser)
parser.add_argument("command", choices=["reindex", "optimize"])
parser.add_argument(
"--recreate",
action="store_true",
default=False,
help="Wipe and recreate the index from scratch (only used with reindex).",
)
parser.add_argument(
"--if-needed",
action="store_true",
default=False,
help=(
"Skip reindex if the index is already up to date. "
"Checks schema version and search language sentinels. "
"Safe to run on every startup or upgrade."
),
)
parser.add_argument(
"--heap-size-mb",
type=int,
default=None,
help=(
"Tantivy writer memory budget in MB for a full reindex "
"(split across writer threads). Defaults to 512MB; lower "
"this on memory-constrained hosts. Larger values buffer "
"more documents before flushing a segment, deferring "
"merge work rather than avoiding it."
),
)
def handle(self, *args, **options):
with transaction.atomic():
if options["command"] == "reindex":
if options.get("if_needed") and not needs_rebuild(settings.INDEX_DIR):
self.stdout.write("Search index is up to date.")
return
if options.get("recreate"):
wipe_index(settings.INDEX_DIR)
documents = Document.objects.select_related(
"correspondent",
"document_type",
"storage_path",
"owner",
).prefetch_related(
"tags",
"notes__user",
"custom_fields__field",
"versions",
)
total = documents.count()
rebuild_kwargs = {}
if options.get("heap_size_mb") is not None:
rebuild_kwargs["writer_heap_bytes"] = (
options["heap_size_mb"] * 1_000_000
)
get_backend().rebuild(
documents,
iter_wrapper=lambda pairs: self.track(
pairs,
description="Indexing documents...",
total=total,
),
**rebuild_kwargs,
)
reset_backend()
elif options["command"] == "optimize":
logger.info(
"document_index optimize is a no-op — Tantivy manages "
"segment merging automatically.",
)