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fix: same chunk insert deadlock (#12502)

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Co-authored-by: huangzhuo <huangzhuo1@xiaomi.com>
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huangzhuo1949 2025-01-09 15:16:41 +08:00 committed by GitHub
parent 20f090537f
commit e84bf35e2a
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1 changed files with 14 additions and 4 deletions
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18
api/core/indexing_runner.py
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@ -530,7 +530,6 @@ class IndexingRunner:
# chunk nodes by chunk size
indexing_start_at = time.perf_counter()
tokens = 0
chunk_size = 10
if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
# create keyword index
create_keyword_thread = threading.Thread(
@ -539,11 +538,22 @@ class IndexingRunner:
)
create_keyword_thread.start()
max_workers = 10
if dataset.indexing_technique == "high_quality":
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = []
for i in range(0, len(documents), chunk_size):
chunk_documents = documents[i : i + chunk_size]
# Distribute documents into multiple groups based on the hash values of page_content
# This is done to prevent multiple threads from processing the same document,
# Thereby avoiding potential database insertion deadlocks
document_groups: list[list[Document]] = [[] for _ in range(max_workers)]
for document in documents:
hash = helper.generate_text_hash(document.page_content)
group_index = int(hash, 16) % max_workers
document_groups[group_index].append(document)
for chunk_documents in document_groups:
if len(chunk_documents) == 0:
continue
futures.append(
executor.submit(
self._process_chunk,