Can´t set indexing_threshold to 0 for bulk upload
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Description
I'm trying to bulk upload 4.5M points using qdrant but have been strugling with the ingestion time. I tried to run it in memory to speed up, tried to use the upload_collection as suggested in the points docs. But it seems that the main problem is not being able to set the indexing_threshold to 0 as sugested in the bulk upload docs
Current Behavior
On v1.9.0 creating a new collection with the optimizers_config setting the indexing_threshold to 0, updating the collection to set the indexing_threshold to 0 seems to have no effect as the snippet below provide example
Steps to Reproduce
from qdrant_client import QdrantClient
client = QdrantClient(":memory:", prefer_grpc=True)
if not client.collection_exists("title_vectors_simple"):
client.create_collection(
collection_name="title_vectors_simple",
vectors_config=VectorParams(size=384, distance=Distance.COSINE),
optimizers_config=OptimizersConfigDiff(
indexing_threshold=0,
),
shard_number=1,
quantization_config=ScalarQuantization(
scalar=ScalarQuantizationConfig(
type=ScalarType.INT8,
quantile=0.99,
always_ram=True,
),
),
)
# Returns False
client.update_collection(
collection_name="title_vectors_simple",
optimizers_config=OptimizersConfigDiff(
indexing_threshold=0,
),
)
print(client.get_collection("title_vectors_simple"))
Output:
status=<CollectionStatus.GREEN: 'green'> optimizer_status=<OptimizersStatusOneOf.OK: 'ok'> vectors_count=None indexed_vectors_count=0 points_count=0 segments_count=1 config=CollectionConfig(params=CollectionParams(vectors=VectorParams(size=384, distance=<Distance.COSINE: 'Cosine'>, hnsw_config=None, quantization_config=None, on_disk=None, datatype=None), shard_number=None, sharding_method=None, replication_factor=None, write_consistency_factor=None, read_fan_out_factor=None, on_disk_payload=None, sparse_vectors=None), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=None, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=None, **indexing_threshold**=20000, flush_interval_sec=5, max_optimization_threads=1), wal_config=WalConfig(wal_capacity_mb=32, wal_segments_ahead=0), quantization_config=None) payload_schema={}
Expected Behavior
I expected that creating the collection or updating it would set the initial parameters but most of my configurations in the creation of the collection were simply ignored
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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Research direction
Start with the QdrantClient create_collection and update_collection entry points in the reproduction, using the v1.9.0 behavior shown in the issue. Verify why OptimizersConfigDiff(indexing_threshold=0) is ignored and confirm completion when the returned collection configuration reports indexing_threshold=0 for both creation and update.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, databases
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100