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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

317 lines
13 KiB
Python

"""
CDC sync tests for multi-database operations.
"""
import time
from pymilvus import MilvusClient
from .base import TestCDCSyncBase, logger
class TestCDCSyncMultiDatabase(TestCDCSyncBase):
"""Test CDC sync for operations across multiple databases."""
def setup_method(self):
"""Setup for each test method."""
self.resources_to_cleanup = []
def teardown_method(self):
"""Cleanup after each test method - only cleanup upstream, downstream will sync."""
upstream_uri = getattr(self, "_upstream_uri", None)
upstream_token = getattr(self, "_upstream_token", None)
if upstream_uri:
# Re-create a default-db client for cleanup
try:
client = MilvusClient(uri=upstream_uri, token=upstream_token)
except Exception as e:
logger.warning(f"[CLEANUP] Failed to create upstream client: {e}")
return
# Clean up collections in databases first, then databases
for resource_type, resource_data in self.resources_to_cleanup:
if resource_type == "collection_in_db":
db_name, c_name = resource_data
try:
db_client = MilvusClient(
uri=upstream_uri,
token=upstream_token,
db_name=db_name,
)
if db_client.has_collection(c_name):
logger.info(f"[CLEANUP] Dropping collection {c_name} in db {db_name}")
db_client.drop_collection(c_name)
db_client.close()
except Exception as e:
logger.warning(f"[CLEANUP] Failed to drop collection {c_name} in db {db_name}: {e}")
for resource_type, resource_data in self.resources_to_cleanup:
if resource_type == "database":
db_name = resource_data
self.cleanup_database(client, db_name)
client.close()
time.sleep(1) # Allow cleanup to sync to downstream
def test_create_collections_in_multiple_dbs(
self,
upstream_uri,
upstream_token,
downstream_uri,
downstream_token,
upstream_client,
downstream_client,
sync_timeout,
):
"""Test creating collections in multiple databases syncs to downstream."""
self._upstream_uri = upstream_uri
self._upstream_token = upstream_token
db_name_1 = self.gen_unique_name("test_mdb_db1")
db_name_2 = self.gen_unique_name("test_mdb_db2")
c_name_1 = self.gen_unique_name("test_mdb_col1")
c_name_2 = self.gen_unique_name("test_mdb_col2")
self.resources_to_cleanup.append(("collection_in_db", (db_name_1, c_name_1)))
self.resources_to_cleanup.append(("collection_in_db", (db_name_2, c_name_2)))
self.resources_to_cleanup.append(("database", db_name_1))
self.resources_to_cleanup.append(("database", db_name_2))
# Initial cleanup
self.cleanup_database(upstream_client, db_name_1)
self.cleanup_database(upstream_client, db_name_2)
# Create databases
upstream_client.create_database(db_name_1)
upstream_client.create_database(db_name_2)
# Create DB-scoped clients
up_db1_client = MilvusClient(uri=upstream_uri, token=upstream_token, db_name=db_name_1)
up_db2_client = MilvusClient(uri=upstream_uri, token=upstream_token, db_name=db_name_2)
# Create collection in db1 with 100 rows
schema1 = self.create_default_schema(up_db1_client)
up_db1_client.create_collection(collection_name=c_name_1, schema=schema1, consistency_level="Strong")
up_db1_client.insert(c_name_1, self.generate_test_data(100))
up_db1_client.flush(c_name_1)
# Create collection in db2 with 200 rows
schema2 = self.create_default_schema(up_db2_client)
up_db2_client.create_collection(collection_name=c_name_2, schema=schema2, consistency_level="Strong")
up_db2_client.insert(c_name_2, self.generate_test_data(200))
up_db2_client.flush(c_name_2)
up_db1_client.close()
up_db2_client.close()
# Wait for both databases and collections to appear on downstream
def check_db1_collection():
try:
if db_name_1 not in downstream_client.list_databases():
return False
dn_db1 = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name_1)
exists = dn_db1.has_collection(c_name_1)
if exists:
stats = dn_db1.get_collection_stats(c_name_1)
logger.info(f"Downstream db1 collection stats: {stats}")
dn_db1.close()
return exists
except Exception as e:
logger.warning(f"Check db1 collection failed: {e}")
return False
assert self.wait_for_sync(check_db1_collection, sync_timeout, f"collection {c_name_1} in {db_name_1}")
def check_db2_collection():
try:
if db_name_2 not in downstream_client.list_databases():
return False
dn_db2 = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name_2)
exists = dn_db2.has_collection(c_name_2)
if exists:
stats = dn_db2.get_collection_stats(c_name_2)
logger.info(f"Downstream db2 collection stats: {stats}")
dn_db2.close()
return exists
except Exception as e:
logger.warning(f"Check db2 collection failed: {e}")
return False
assert self.wait_for_sync(check_db2_collection, sync_timeout, f"collection {c_name_2} in {db_name_2}")
# Verify row counts
dn_db1 = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name_1)
dn_db2 = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name_2)
try:
stats1 = dn_db1.get_collection_stats(c_name_1)
stats2 = dn_db2.get_collection_stats(c_name_2)
logger.info(f"DB1 collection row count: {stats1.get('row_count')}")
logger.info(f"DB2 collection row count: {stats2.get('row_count')}")
assert stats1.get("row_count", 0) >= 100, (
f"Expected >= 100 rows in {c_name_1}, got {stats1.get('row_count')}"
)
assert stats2.get("row_count", 0) >= 200, (
f"Expected >= 200 rows in {c_name_2}, got {stats2.get('row_count')}"
)
finally:
dn_db1.close()
dn_db2.close()
def test_drop_db_with_collections(
self,
upstream_uri,
upstream_token,
downstream_uri,
downstream_token,
upstream_client,
downstream_client,
sync_timeout,
):
"""Test drop DB with collection syncs to downstream (DB gone from downstream)."""
self._upstream_uri = upstream_uri
self._upstream_token = upstream_token
db_name = self.gen_unique_name("test_mdb_drop_db")
c_name = self.gen_unique_name("test_mdb_drop_col")
self.resources_to_cleanup.append(("collection_in_db", (db_name, c_name)))
self.resources_to_cleanup.append(("database", db_name))
# Initial cleanup
self.cleanup_database(upstream_client, db_name)
# Create database and collection
upstream_client.create_database(db_name)
up_db_client = MilvusClient(uri=upstream_uri, token=upstream_token, db_name=db_name)
schema = self.create_default_schema(up_db_client)
up_db_client.create_collection(collection_name=c_name, schema=schema, consistency_level="Strong")
up_db_client.insert(c_name, self.generate_test_data(50))
up_db_client.flush(c_name)
up_db_client.close()
# Wait for DB + collection to sync to downstream
def check_created():
try:
if db_name not in downstream_client.list_databases():
return False
dn = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name)
exists = dn.has_collection(c_name)
dn.close()
return exists
except Exception as e:
logger.warning(f"Check DB+collection created: {e}")
return False
assert self.wait_for_sync(check_created, sync_timeout, f"create db {db_name} with collection")
# Drop collection then DB in upstream
up_db_client2 = MilvusClient(uri=upstream_uri, token=upstream_token, db_name=db_name)
up_db_client2.drop_collection(c_name)
up_db_client2.close()
upstream_client.drop_database(db_name)
assert db_name not in upstream_client.list_databases(), (
f"Database {db_name} still exists in upstream after drop"
)
# Wait for DB to be gone on downstream
def check_db_dropped():
return db_name not in downstream_client.list_databases()
assert self.wait_for_sync(check_db_dropped, sync_timeout, f"drop database {db_name}")
def test_cross_db_operations(
self,
upstream_uri,
upstream_token,
downstream_uri,
downstream_token,
upstream_client,
downstream_client,
sync_timeout,
):
"""Test cross-DB operations: create DB, collection, insert, alter DB properties, create 2nd collection."""
self._upstream_uri = upstream_uri
self._upstream_token = upstream_token
db_name = self.gen_unique_name("test_mdb_cross_db")
c_name_1 = self.gen_unique_name("test_mdb_cross_col1")
c_name_2 = self.gen_unique_name("test_mdb_cross_col2")
self.resources_to_cleanup.append(("collection_in_db", (db_name, c_name_1)))
self.resources_to_cleanup.append(("collection_in_db", (db_name, c_name_2)))
self.resources_to_cleanup.append(("database", db_name))
# Initial cleanup
self.cleanup_database(upstream_client, db_name)
# Step 1: Create database
upstream_client.create_database(db_name)
# Step 2: Create DB-scoped client and 1st collection with insert
up_db_client = MilvusClient(uri=upstream_uri, token=upstream_token, db_name=db_name)
schema1 = self.create_default_schema(up_db_client)
up_db_client.create_collection(collection_name=c_name_1, schema=schema1, consistency_level="Strong")
up_db_client.insert(c_name_1, self.generate_test_data(100))
up_db_client.flush(c_name_1)
# Step 3: Alter DB properties
upstream_client.alter_database_properties(
db_name=db_name,
properties={"database.max.collections": 10},
)
# Step 4: Create 2nd collection in the same DB
schema2 = self.create_default_schema(up_db_client)
up_db_client.create_collection(collection_name=c_name_2, schema=schema2, consistency_level="Strong")
up_db_client.close()
# Wait for all operations to sync to downstream
# Check database exists on downstream
def check_db_exists():
return db_name in downstream_client.list_databases()
assert self.wait_for_sync(check_db_exists, sync_timeout, f"create database {db_name}")
# Check 1st collection exists on downstream
def check_col1():
try:
dn = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name)
exists = dn.has_collection(c_name_1)
dn.close()
return exists
except Exception as e:
logger.warning(f"Check col1 sync failed: {e}")
return False
assert self.wait_for_sync(check_col1, sync_timeout, f"collection {c_name_1} in {db_name}")
# Check 2nd collection exists on downstream
def check_col2():
try:
dn = MilvusClient(uri=downstream_uri, token=downstream_token, db_name=db_name)
exists = dn.has_collection(c_name_2)
dn.close()
return exists
except Exception as e:
logger.warning(f"Check col2 sync failed: {e}")
return False
assert self.wait_for_sync(check_col2, sync_timeout, f"collection {c_name_2} in {db_name}")
# Check DB properties synced
def check_db_props():
try:
if db_name not in downstream_client.list_databases():
return False
props = downstream_client.describe_database(db_name)
logger.info(f"Downstream database properties: {props}")
return str(props.get("database.max.collections", "")) == "10"
except Exception as e:
logger.warning(f"Check DB properties sync failed: {e}")
return False
assert self.wait_for_sync(check_db_props, sync_timeout, f"DB properties sync for {db_name}")