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seaweedfs/test/s3vectors/s3vectors_test.py
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Chris LuandClaude Opus 5.5 5a60ce04e3 vector: stop re-parsing a filter's JSONPath for every scanned row (#12302)
* vector: parse a filter's JSONPath once per batch instead of per row

Lance's json_extract and json_exists parse their JSONPath argument again
for every row they see. Every translated S3 Vectors filter goes through
them, so a flat scan paid about 1 µs per row before the predicate
compared anything, and a 10%-selective {"category": {"$eq": "c3"}} ran
about 50% slower than the same query unfiltered.

The path is always a literal, so the scanner now parses the filter as
before and swaps in copies of the two functions that parse it once per
batch. They call the same jsonb selector and serializer, so results and
errors do not change. Calls whose path is not a literal keep Lance's
functions. The filter SQL is unchanged, so the gateway, existing tables
and the distributed workers (which run query::ann) need no change.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011UpvafvK8JpagF94MHWqwK

* s3vectors: read the field once per extractor in $in and $nin

$in and $nin rendered one IN per member, each with its own json_extract,
so an N-member list parsed the row's metadata N times. Members that share
an extractor (strings and booleans, or numbers) now go into one IN list,
so a list reads the field at most twice. Matching is unchanged: each
group still only sees its own JSON type and still coalesces NULL before
$nin negates it.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011UpvafvK8JpagF94MHWqwK

* s3vectors: rename the $in literal map so codespell passes

Codespell reads "lits" as a misspelling of "list".

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011UpvafvK8JpagF94MHWqwK

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-01 12:06:20 -08:00

392 lines
19 KiB
Python

"""Run the S3 Vectors API against Go/Rust volumes and single/distributed queries."""
import json
import time
import uuid
import boto3
from botocore.exceptions import ClientError
import pytest
BUCKET = "vectors-bucket"
INDEX = "idx"
def test_vector_lifecycle(vectors):
vectors.create_vector_bucket(vectorBucketName=BUCKET)
buckets = [b["vectorBucketName"] for b in vectors.list_vector_buckets()["vectorBuckets"]]
assert BUCKET in buckets
vectors.create_index(
vectorBucketName=BUCKET,
indexName=INDEX,
dataType="float32",
dimension=4,
distanceMetric="euclidean",
)
idx = vectors.get_index(vectorBucketName=BUCKET, indexName=INDEX)["index"]
assert idx["dimension"] == 4
vectors.put_vectors(
vectorBucketName=BUCKET,
indexName=INDEX,
vectors=[
{"key": "a", "data": {"float32": [1, 0, 0, 0]}, "metadata": {"color": "red"}},
{"key": "b", "data": {"float32": [0.95, 0.05, 0, 0]}, "metadata": {"color": "blue"}},
{"key": "c", "data": {"float32": [0.9, 0.1, 0, 0]}, "metadata": {"color": "red"}},
],
)
got = vectors.get_vectors(
vectorBucketName=BUCKET, indexName=INDEX, keys=["a"], returnData=True, returnMetadata=True
)["vectors"]
assert got[0]["key"] == "a" and got[0]["metadata"]["color"] == "red"
listed = vectors.list_vectors(vectorBucketName=BUCKET, indexName=INDEX)["vectors"]
assert sorted(v["key"] for v in listed) == ["a", "b", "c"]
hits = vectors.query_vectors(
vectorBucketName=BUCKET,
indexName=INDEX,
queryVector={"float32": [1, 0, 0, 0]},
topK=2,
returnDistance=True,
returnMetadata=True,
filter={"color": {"$eq": "red"}},
)["vectors"]
# b is closer than c but excluded by the filter.
assert [h["key"] for h in hits] == ["a", "c"]
distances = {h["key"]: h["distance"] for h in hits}
assert distances["a"] == pytest.approx(0.0, abs=1e-6)
assert distances["c"] == pytest.approx(0.02, abs=1e-4)
assert all(h["metadata"]["color"] == "red" for h in hits)
vectors.delete_vectors(vectorBucketName=BUCKET, indexName=INDEX, keys=["b"])
listed = vectors.list_vectors(vectorBucketName=BUCKET, indexName=INDEX)["vectors"]
assert sorted(v["key"] for v in listed) == ["a", "c"]
vectors.delete_index(vectorBucketName=BUCKET, indexName=INDEX)
vectors.delete_vector_bucket(vectorBucketName=BUCKET)
def test_vector_bucket_policy(vectors):
vectors.create_vector_bucket(vectorBucketName=BUCKET)
try:
policy = json.dumps(
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {"AWS": "*"},
"Action": "s3vectors:*",
"Resource": "*",
}
],
}
)
invalid = json.loads(policy)
invalid["Statement"][0]["Action"] = "s3tables:*"
expect_error("ValidationException", vectors.put_vector_bucket_policy,
vectorBucketName=BUCKET, policy=json.dumps(invalid))
vectors.put_vector_bucket_policy(vectorBucketName=BUCKET, policy=policy)
got = vectors.get_vector_bucket_policy(vectorBucketName=BUCKET)["policy"]
assert json.loads(got) == json.loads(policy)
vectors.delete_vector_bucket_policy(vectorBucketName=BUCKET)
with pytest.raises(ClientError) as exc:
vectors.get_vector_bucket_policy(vectorBucketName=BUCKET)
assert exc.value.response["Error"]["Code"] == "NotFoundException"
finally:
vectors.delete_vector_bucket(vectorBucketName=BUCKET)
@pytest.fixture
def index(vectors):
bucket = "vectors-" + uuid.uuid4().hex[:16]
vectors.create_vector_bucket(vectorBucketName=bucket)
vectors.create_index(vectorBucketName=bucket, indexName=INDEX, dataType="float32",
dimension=4, distanceMetric="euclidean",
metadataConfiguration={"nonFilterableMetadataKeys": ["private"]})
args = {"vectorBucketName": bucket, "indexName": INDEX}
yield args
vectors.delete_index(**args)
vectors.delete_vector_bucket(vectorBucketName=bucket)
def expect_error(code, operation, **kwargs):
with pytest.raises(ClientError) as exc:
operation(**kwargs)
assert exc.value.response["Error"]["Code"] == code
def test_empty_catalog(vectors):
bucket = "empty-" + uuid.uuid4().hex[:16]
assert vectors.list_vector_buckets(prefix=bucket)["vectorBuckets"] == []
vectors.create_vector_bucket(vectorBucketName=bucket)
try:
assert vectors.list_indexes(vectorBucketName=bucket)["indexes"] == []
finally:
vectors.delete_vector_bucket(vectorBucketName=bucket)
def test_empty_index(vectors, index):
assert vectors.get_vectors(**index, keys=["absent"])["vectors"] == []
assert vectors.list_vectors(**index)["vectors"] == []
assert vectors.query_vectors(**index, queryVector={"float32": [1, 0, 0, 0]}, topK=3)["vectors"] == []
expect_error("ValidationException", vectors.query_vectors, **index,
queryVector={"float32": [1, 0, 0]}, topK=3)
def test_upsert_and_invalid_batch(vectors, index):
vectors.put_vectors(**index, vectors=[{"key": "a", "data": {"float32": [1, 0, 0, 0]}, "metadata": {"revision": 1}}])
vectors.put_vectors(**index, vectors=[{"key": "a", "data": {"float32": [0, 1, 0, 0]}, "metadata": {"revision": 2}}])
expected = [{"key": "a", "data": {"float32": [0, 1, 0, 0]}, "metadata": {"revision": 2}}]
for invalid in (
[{"key": "a", "data": {"float32": [1, 1, 1, 1]}}, {"key": "bad", "data": {"float32": [1, 2]}}],
[{"key": "a", "data": {"float32": [1, 1, 1, 1]}}, {"key": "a", "data": {"float32": [2, 2, 2, 2]}}],
):
expect_error("ValidationException", vectors.put_vectors, **index, vectors=invalid)
assert vectors.list_vectors(**index, returnData=True, returnMetadata=True)["vectors"] == expected
def test_metadata_and_arn(vectors, index):
description = vectors.get_index(**index)["index"]
assert description["metadataConfiguration"] == {"nonFilterableMetadataKeys": ["private"]}
arn = {"indexArn": description["indexArn"]}
metadata = {"color": "red", "private": "secret", "nested": {"x": [1, True, "text"]}}
vectors.put_vectors(**arn, vectors=[{"key": "quote'key", "data": {"float32": [1, 0, 0, 0]}, "metadata": metadata}])
assert vectors.get_vectors(**arn, keys=["quote'key"], returnMetadata=True)["vectors"][0]["metadata"] == metadata
hits = vectors.query_vectors(**arn, queryVector={"float32": [1, 0, 0, 0]}, topK=1, returnMetadata=True)["vectors"]
assert hits[0]["metadata"] == metadata
assert "distance" not in hits[0]
expect_error("ValidationException", vectors.query_vectors, **arn, queryVector={"float32": [1, 0, 0, 0]},
topK=1, filter={"$and": [{"color": "red"}, {"private": "secret"}]})
vectors.delete_vectors(**arn, keys=["quote'key"])
assert vectors.list_vectors(**arn)["vectors"] == []
def test_list_pagination_and_segments(vectors, index):
rows = [{"key": f"key-{i:02}", "data": {"float32": [i, 1, 0, 0]}, "metadata": {"row": i}} for i in range(17)]
vectors.put_vectors(**index, vectors=rows)
def collect(**extra):
result, tokens = [], set()
while True:
page = vectors.list_vectors(**index, maxResults=2, returnData=True, returnMetadata=True, **extra)
result.extend(page["vectors"])
token = page.get("nextToken")
if not token:
return result
assert token not in tokens
tokens.add(token)
extra["nextToken"] = token
assert sorted(collect(), key=lambda r: r["key"]) == rows
segmented = [row for segment in range(4) for row in collect(segmentCount=4, segmentIndex=segment)]
assert sorted(segmented, key=lambda r: r["key"]) == rows
expect_error("ValidationException", vectors.list_vectors, **index, nextToken="invalid")
for bad in ({"maxResults": 1001}, {"segmentCount": 17, "segmentIndex": 0}, {"segmentIndex": 0}):
expect_error("ValidationException", vectors.list_vectors, **index, **bad)
def test_filter_types(vectors, index):
values = [1, "1", True, "true"]
vectors.put_vectors(**index, vectors=[{"key": str(i), "data": {"float32": [1, 0, 0, 0]}, "metadata": {"value": value}}
for i, value in enumerate(values)])
for i, value in enumerate(values):
hits = vectors.query_vectors(**index, queryVector={"float32": [1, 0, 0, 0]}, topK=4,
filter={"value": {"$eq": value}})["vectors"]
assert [hit["key"] for hit in hits] == [str(i)]
for op, members in (("$in", [1, "true"]), ("$nin", ["1", True])):
hits = vectors.query_vectors(**index, queryVector={"float32": [1, 0, 0, 0]}, topK=4,
filter={"value": {op: members}})["vectors"]
assert sorted(hit["key"] for hit in hits) == ["0", "3"]
def test_cosine_metric(vectors):
bucket = "cosine-" + uuid.uuid4().hex[:16]
vectors.create_vector_bucket(vectorBucketName=bucket)
args = {"vectorBucketName": bucket, "indexName": INDEX}
vectors.create_index(**args, dataType="float32", dimension=2, distanceMetric="cosine")
try:
vectors.put_vectors(**args, vectors=[{"key": "far", "data": {"float32": [10, 0]}},
{"key": "near", "data": {"float32": [1, 1]}}])
result = vectors.query_vectors(**args, queryVector={"float32": [1, 0]}, topK=2, returnDistance=True)
assert result["distanceMetric"] == "cosine"
assert [v["key"] for v in result["vectors"]] == ["far", "near"]
assert result["vectors"][0]["distance"] == pytest.approx(0, abs=1e-6)
expect_error("ValidationException", vectors.query_vectors, **args, queryVector={"float32": [1, 0, 0]}, topK=1)
finally:
vectors.delete_index(**args)
vectors.delete_vector_bucket(vectorBucketName=bucket)
def test_delete_bucket_conflict(vectors, index):
expect_error("ConflictException", vectors.delete_vector_bucket, vectorBucketName=index["vectorBucketName"])
assert vectors.get_index(**index)["index"]["dimension"] == 4
def test_vector_policy_permissions(vectors, vector_clients, index):
reader, writer = vector_clients["reader"], vector_clients["writer"]
arn = vectors.get_index(**index)["index"]["indexArn"]
row = {"key": "policy-row", "data": {"float32": [1, 0, 0, 0]}, "metadata": {"owner": "writer"}}
expect_error("AccessDeniedException", writer.put_vectors, **index, vectors=[row])
expect_error("AccessDeniedException", reader.get_vectors, **index, keys=[row["key"]])
statements = [
{"Effect": "Allow", "Principal": {"AWS": "writer"},
"Action": "s3vectors:PutVectors", "Resource": arn},
{"Effect": "Allow", "Principal": {"AWS": "reader"},
"Action": ["s3vectors:GetVectors", "s3vectors:QueryVectors"], "Resource": arn},
]
def put_policy():
vectors.put_vector_bucket_policy(vectorBucketName=index["vectorBucketName"],
policy=json.dumps({"Version": "2012-10-17", "Statement": statements}))
put_policy()
writer.put_vectors(**index, vectors=[row])
assert reader.get_vectors(**index, keys=[row["key"]], returnData=True, returnMetadata=True)["vectors"] == [row]
assert reader.query_vectors(**index, queryVector=row["data"], topK=1)["vectors"][0]["key"] == row["key"]
expect_error("AccessDeniedException", reader.put_vectors, **index, vectors=[row])
expect_error("AccessDeniedException", writer.get_vectors, **index, keys=[row["key"]])
expect_error("AccessDeniedException", reader.delete_index, **index)
expect_error("AccessDeniedException", reader.list_vectors, **index)
other = dict(index, indexName="other-index")
vectors.create_index(**other, dataType="float32", dimension=4, distanceMetric="euclidean")
try:
expect_error("AccessDeniedException", reader.get_vectors, **other, keys=[row["key"]])
expect_error("AccessDeniedException", writer.put_vectors, **other, vectors=[row])
statements.append({"Effect": "Deny", "Principal": {"AWS": "writer"},
"Action": "s3vectors:PutVectors", "Resource": arn})
put_policy()
expect_error("AccessDeniedException", writer.put_vectors, **index, vectors=[row])
assert reader.get_vectors(**index, keys=[row["key"]])["vectors"][0]["key"] == row["key"]
vectors.delete_vector_bucket_policy(vectorBucketName=index["vectorBucketName"])
expect_error("AccessDeniedException", reader.get_vectors, **index, keys=[row["key"]])
expect_error("AccessDeniedException", writer.put_vectors, **index, vectors=[row])
vectors.put_vectors(**index, vectors=[row])
finally:
vectors.delete_index(**other)
def test_vector_bucket_encryption(vectors):
bucket = "encryption-" + uuid.uuid4().hex[:16]
config = {"sseType": "AES256"}
vectors.create_vector_bucket(vectorBucketName=bucket, encryptionConfiguration=config)
try:
assert vectors.get_vector_bucket(vectorBucketName=bucket)["vectorBucket"]["encryptionConfiguration"] == config
expect_error("ValidationException", vectors.create_vector_bucket, vectorBucketName=bucket + "-kms",
encryptionConfiguration={"sseType": "aws:kms", "kmsKeyArn": "arn:aws:kms:us-east-1:123456789012:key/test"})
assert vectors.list_vector_buckets(prefix=bucket + "-kms")["vectorBuckets"] == []
finally:
vectors.delete_vector_bucket(vectorBucketName=bucket)
def test_catalog_pagination(vectors, index):
prefix = "pages-" + uuid.uuid4().hex[:16]
buckets, indexes = [], []
try:
for i in range(3):
bucket = f"{prefix}-{i}"
vectors.create_vector_bucket(vectorBucketName=bucket)
buckets.append(bucket)
for name in ("idx-a", "idx-b"):
args = dict(index, indexName=name)
vectors.create_index(**args, dataType="float32", dimension=4, distanceMetric="euclidean")
indexes.append(args)
pages = list(vectors.get_paginator("list_vector_buckets").paginate(
prefix=prefix, PaginationConfig={"PageSize": 1}))
assert all(len(page["vectorBuckets"]) <= 1 for page in pages)
assert sorted(b["vectorBucketName"] for page in pages for b in page["vectorBuckets"]) == buckets
pages = list(vectors.get_paginator("list_indexes").paginate(
vectorBucketName=index["vectorBucketName"], prefix="idx", PaginationConfig={"PageSize": 1}))
assert all(len(page["indexes"]) <= 1 for page in pages)
assert sorted(i["indexName"] for page in pages for i in page["indexes"]) == [INDEX, "idx-a", "idx-b"]
expect_error("ValidationException", vectors.list_vector_buckets, maxResults=501)
expect_error("ValidationException", vectors.list_indexes, vectorBucketName=index["vectorBucketName"], maxResults=501)
finally:
for args in indexes:
vectors.delete_index(**args)
for bucket in buckets:
vectors.delete_vector_bucket(vectorBucketName=bucket)
def test_delete_and_recreate_index(vectors, index):
vectors.put_vectors(**index, vectors=[{"key": "old", "data": {"float32": [1, 0, 0, 0]}}])
vectors.delete_index(**index)
expect_error("NotFoundException", vectors.get_index, **index)
vectors.create_index(**index, dataType="float32", dimension=2, distanceMetric="cosine")
assert vectors.list_vectors(**index)["vectors"] == []
row = {"key": "new", "data": {"float32": [1, 0]}}
vectors.put_vectors(**index, vectors=[row])
assert vectors.get_vectors(**index, keys=["old", "new"], returnData=True)["vectors"] == [row]
result = vectors.query_vectors(**index, queryVector=row["data"], topK=1, returnDistance=True)
assert result["distanceMetric"] == "cosine"
assert result["vectors"][0]["key"] == "new"
assert result["vectors"][0]["distance"] == pytest.approx(0, abs=1e-6)
def test_index_arn_validation(vectors, index):
arn = vectors.get_index(**index)["index"]["indexArn"]
foreign = []
for field, value in ((1, "aws-cn"), (3, "eu-west-1"), (4, "999999999999")):
parts = arn.split(":", 5)
assert parts[field] != value
parts[field] = value
foreign.append(":".join(parts))
for invalid in (
*foreign,
arn.replace(":s3vectors:", ":s3tables:"),
arn.replace(":s3vectors:", ":s3:"),
arn + "/index/extra",
arn + "/",
):
expect_error("ValidationException", vectors.get_index, indexArn=invalid)
expect_error("ValidationException", vectors.delete_index, indexArn=invalid)
expect_error("ValidationException", vectors.get_vector_bucket, vectorBucketArn=arn)
expect_error("ValidationException", vectors.list_indexes, vectorBucketArn=arn)
bucket_arn = arn.rsplit("/index/", 1)[0]
for request in (
{"vectorBucketName": "other-" + index["vectorBucketName"], "indexArn": arn},
{"indexName": "other-" + index["indexName"], "indexArn": arn},
):
expect_error("ValidationException", vectors.get_index, **request)
expect_error("ValidationException", vectors.delete_index, **request)
for operation in (vectors.get_vector_bucket, vectors.list_indexes, vectors.delete_vector_bucket):
expect_error("ValidationException", operation, vectorBucketName="other-" + index["vectorBucketName"],
vectorBucketArn=bucket_arn)
assert vectors.get_index(**index, indexArn=arn)["index"]["indexArn"] == arn
assert vectors.get_vector_bucket(vectorBucketName=index["vectorBucketName"],
vectorBucketArn=bucket_arn)["vectorBucket"]["vectorBucketArn"] == bucket_arn
assert vectors.get_index(**index)["index"]["indexArn"] == arn
def test_invalid_credentials(cluster):
client = boto3.client("s3vectors", endpoint_url=cluster["endpoint"], aws_access_key_id="unknown",
aws_secret_access_key="unknown", region_name="us-east-1")
with pytest.raises(ClientError) as exc:
client.list_vector_buckets()
assert exc.value.response["ResponseMetadata"]["HTTPStatusCode"] == 403
def test_query_without_writer(vectors, index, cluster):
from conftest import stop
vectors.put_vectors(**index, vectors=[{"key": "survivor", "data": {"float32": [1, 0, 0, 0]}}])
stop(cluster["processes"].pop("vector"))
args = dict(index, queryVector={"float32": [1, 0, 0, 0]}, topK=1)
if cluster["mode"] == "single":
expect_error("ServiceUnavailableException", vectors.query_vectors, **args)
return
deadline = time.monotonic() + 15
while True:
try:
result = vectors.query_vectors(**args)
break
except ClientError as exc:
if exc.response["Error"]["Code"] != "ServiceUnavailableException" or time.monotonic() >= deadline:
raise
time.sleep(0.2)
assert [v["key"] for v in result["vectors"]] == ["survivor"]