milvus-io / milvus

A cloud-native vector database, storage for next generation AI applications
https://milvus.io
Apache License 2.0
30.09k stars 2.88k forks source link

[Bug]: [benchmark] The predicted inverted index resource usage is greater than the actual usage #31617

Closed wangting0128 closed 3 months ago

wangting0128 commented 7 months ago

Is there an existing issue for this?

Environment

- Milvus version: 2.4-20240323-5d3aa2a4-amd64
- Deployment mode(standalone or cluster): cluster
- MQ type(rocksmq, pulsar or kafka): pulsar   
- SDK version(e.g. pymilvus v2.0.0rc2): 2.4.0rc66
- OS(Ubuntu or CentOS): 
- CPU/Memory: 
- GPU: 
- Others:

Current Behavior

argo task: inverted-corn-1711209600 test case name: test_inverted_locust_varchar_dql_cluster

server:

NAME                                                              READY   STATUS                            RESTARTS         AGE     IP              NODE         NOMINATED NODE   READINESS GATES
inverted-corn-109600-4-78-6884-etcd-0                             1/1     Running                           0                9h      10.104.25.162   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-etcd-1                             1/1     Running                           0                9h      10.104.29.253   4am-node35   <none>           <none>
inverted-corn-109600-4-78-6884-etcd-2                             1/1     Running                           0                9h      10.104.26.114   4am-node32   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-datacoord-7fc99977bflqrlb   1/1     Running                           0                9h      10.104.25.152   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-datanode-695fc49599-tj5r7   1/1     Running                           1 (9h ago)       9h      10.104.5.174    4am-node12   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-indexcoord-7849d4786dgrd4   1/1     Running                           0                9h      10.104.33.20    4am-node36   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-indexnode-6cd4b85dbfkgxj2   1/1     Running                           0                9h      10.104.31.165   4am-node34   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-proxy-584b45776d-d7zn2      1/1     Running                           1 (9h ago)       9h      10.104.27.74    4am-node31   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-querycoord-5c5d9496cx76km   1/1     Running                           1 (9h ago)       9h      10.104.25.151   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-querynode-9584877fd-dzk8h   1/1     Running                           0                9h      10.104.33.22    4am-node36   <none>           <none>
inverted-corn-109600-4-78-6884-milvus-rootcoord-65c86b8b45h6n4g   1/1     Running                           1 (9h ago)       9h      10.104.33.21    4am-node36   <none>           <none>
inverted-corn-109600-4-78-6884-minio-0                            1/1     Running                           0                9h      10.104.29.250   4am-node35   <none>           <none>
inverted-corn-109600-4-78-6884-minio-1                            1/1     Running                           0                9h      10.104.25.167   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-minio-2                            1/1     Running                           0                9h      10.104.26.113   4am-node32   <none>           <none>
inverted-corn-109600-4-78-6884-minio-3                            1/1     Running                           0                9h      10.104.27.109   4am-node31   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-bookie-0                    1/1     Running                           0                9h      10.104.26.104   4am-node32   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-bookie-1                    1/1     Running                           0                9h      10.104.29.251   4am-node35   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-bookie-2                    1/1     Running                           0                9h      10.104.25.168   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-bookie-init-bk9rh           0/1     Completed                         0                9h      10.104.33.18    4am-node36   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-broker-0                    1/1     Running                           0                9h      10.104.27.72    4am-node31   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-proxy-0                     1/1     Running                           0                9h      10.104.25.153   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-pulsar-init-tk7lf           0/1     Completed                         0                9h      10.104.33.19    4am-node36   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-recovery-0                  1/1     Running                           0                9h      10.104.27.75    4am-node31   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-zookeeper-0                 1/1     Running                           0                9h      10.104.26.103   4am-node32   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-zookeeper-1                 1/1     Running                           0                9h      10.104.25.174   4am-node30   <none>           <none>
inverted-corn-109600-4-78-6884-pulsar-zookeeper-2                 1/1     Running                           0                9h      10.104.27.115   4am-node31   <none>           <none>

The actual memory used by queryNode is about 1G, and the predicted memory usage is about 10G.

截屏2024-03-26 16 37 52
2024-03-24 00:55:22.193 
(no unique labels)
[2024/03/24 00:55:22.193 +00:00] [INFO] [segments/segment_loader.go:1412] ["predict memory and disk usage while loading (in MiB)"] [traceID=fcfd02781e54186abda5bdf3e6ca6dbb] [collectionID=448583440405365385] [maxSegmentSize(MB)=10383.269264221191] [committedMemSize(MB)=10606.47898387909] [memLimit(MB)=65536] [memUsage(MB)=10697.96726512909] [committedDiskSize(MB)=0] [diskUsage(MB)=0] [predictMemUsage(MB)=21081.23652935028] [predictDiskUsage(MB)=0] [mmapFieldCount=0]

2024-03-24 00:55:22.192 
(no unique labels)
[2024/03/24 00:55:22.192 +00:00] [INFO] [segments/segment_loader.go:1412] ["predict memory and disk usage while loading (in MiB)"] [traceID=fcfd02781e54186abda5bdf3e6ca6dbb] [collectionID=448583440405365385] [maxSegmentSize(MB)=10606.47898387909] [committedMemSize(MB)=0] [memLimit(MB)=65536] [memUsage(MB)=91.48828125] [committedDiskSize(MB)=0] [diskUsage(MB)=0] [predictMemUsage(MB)=10697.96726512909] [predictDiskUsage(MB)=0] [mmapFieldCount=0]

client pod name: inverted-corn-1711209600-971096786

Expected Behavior

No response

Steps To Reproduce

concurrent test and calculation of RT and QPS

        :purpose:  `varchar: different max_length`
            verify concurrent DQL scenario which has 3 VARCHAR scalars fields and creating INVERTED index

        :test steps:
            1. create collection with fields:
                'float_vector': 3dim,
                'varchar_1': max_length=256, varchar_filled=True
                'varchar_2': max_length=32768, varchar_filled=True
                'varchar_3': max_length=65535, varchar_filled=True
            2. build indexes:
                IVF_FLAT: 'float_vector'
                INVERTED: 'varchar_1', 'varchar_2', 'varchar_3'
            3. insert 300k data
            4. flush collection
            5. build indexes again using the same params
            6. load collection
            7. concurrent request:
                - search
                - query

Milvus Log

No response

Anything else?

test result:

{'server': {'deploy_tool': 'helm',
            'deploy_mode': 'cluster',
            'config_name': 'cluster_2c4m',
            'config': {'queryNode': {'resources': {'limits': {'cpu': '8',
                                                              'memory': '64Gi'},
                                                   'requests': {'cpu': '8',
                                                                'memory': '32Gi'}},
                                     'replicas': 1},
                       'indexNode': {'resources': {'limits': {'cpu': '4.0',
                                                              'memory': '16Gi'},
                                                   'requests': {'cpu': '3.0',
                                                                'memory': '9Gi'}},
                                     'replicas': 1},
                       'dataNode': {'resources': {'limits': {'cpu': '2.0',
                                                             'memory': '4Gi'},
                                                  'requests': {'cpu': '2.0',
                                                               'memory': '3Gi'}}},
                       'cluster': {'enabled': True},
                       'pulsar': {},
                       'kafka': {},
                       'minio': {'metrics': {'podMonitor': {'enabled': True}}},
                       'etcd': {'metrics': {'enabled': True,
                                            'podMonitor': {'enabled': True}}},
                       'metrics': {'serviceMonitor': {'enabled': True}},
                       'log': {'level': 'debug'},
                       'image': {'all': {'repository': 'harbor.milvus.io/milvus/milvus',
                                         'tag': '2.4-20240323-5d3aa2a4-amd64'}}},
            'host': 'inverted-corn-109600-4-78-6884-milvus.qa-milvus.svc.cluster.local',
            'port': '19530',
            'uri': ''},
 'client': {'test_case_type': 'ConcurrentClientBase',
            'test_case_name': 'test_inverted_locust_varchar_dql_cluster',
            'test_case_params': {'dataset_params': {'metric_type': 'L2',
                                                    'dim': 3,
                                                    'scalars_index': {'varchar_1': {'index_type': 'INVERTED'},
                                                                      'varchar_2': {'index_type': 'INVERTED'},
                                                                      'varchar_3': {'index_type': 'INVERTED'}},
                                                    'scalars_params': {'varchar_1': {'params': {'max_length': 256},
                                                                                     'other_params': {'varchar_filled': True}},
                                                                       'varchar_2': {'params': {'max_length': 32768},
                                                                                     'other_params': {'varchar_filled': True}},
                                                                       'varchar_3': {'params': {'max_length': 65535},
                                                                                     'other_params': {'varchar_filled': True}}},
                                                    'dataset_name': 'local',
                                                    'dataset_size': 300000,
                                                    'ni_per': 50},
                                 'collection_params': {'other_fields': ['varchar_1',
                                                                        'varchar_2',
                                                                        'varchar_3'],
                                                       'shards_num': 2},
                                 'resource_groups_params': {'reset': False},
                                 'database_user_params': {'reset_rbac': False,
                                                          'reset_db': False},
                                 'index_params': {'index_type': 'IVF_FLAT',
                                                  'index_param': {'nlist': 1024}},
                                 'concurrent_params': {'concurrent_number': 50,
                                                       'during_time': '1h',
                                                       'interval': 20,
                                                       'spawn_rate': None},
                                 'concurrent_tasks': [{'type': 'search',
                                                       'weight': 1,
                                                       'params': {'nq': 1000,
                                                                  'top_k': 10,
                                                                  'search_param': {'nprobe': 32},
                                                                  'expr': 'varchar_1 '
                                                                          'like '
                                                                          '"a%" '
                                                                          '&& '
                                                                          'varchar_2 '
                                                                          'like '
                                                                          '"A%" '
                                                                          '&& '
                                                                          'varchar_3 '
                                                                          'like '
                                                                          '"0%" '
                                                                          '&& '
                                                                          'id '
                                                                          '> 0',
                                                                  'guarantee_timestamp': None,
                                                                  'partition_names': None,
                                                                  'output_fields': None,
                                                                  'ignore_growing': False,
                                                                  'group_by_field': None,
                                                                  'timeout': 60,
                                                                  'random_data': True}},
                                                      {'type': 'query',
                                                       'weight': 1,
                                                       'params': {'ids': None,
                                                                  'expr': 'id '
                                                                          '> '
                                                                          '-1 '
                                                                          '&&',
                                                                  'output_fields': ['float_vector'],
                                                                  'offset': None,
                                                                  'limit': None,
                                                                  'ignore_growing': False,
                                                                  'partition_names': None,
                                                                  'timeout': 60,
                                                                  'random_data': True,
                                                                  'random_count': 10,
                                                                  'random_range': [0,
                                                                                   150000.0],
                                                                  'field_name': 'id',
                                                                  'field_type': 'int64'}}]},
            'run_id': 2024032397268355,
            'datetime': '2024-03-23 16:02:06.668282',
            'client_version': '2.4.0'},
 'result': {'test_result': {'index': {'RT': 3679.7159,
                                      'varchar_1': {'RT': 4013.0191},
                                      'varchar_2': {'RT': 2395.9315},
                                      'varchar_3': {'RT': 6678.7619}},
                            'insert': {'total_time': 603.547,
                                       'VPS': 497.0615,
                                       'batch_time': 0.1006,
                                       'batch': 50},
                            'flush': {'RT': 3.024},
                            'load': {'RT': 55.4049},
                            'Locust': {'Aggregated': {'Requests': 12142,
                                                      'Fails': 0,
                                                      'RPS': 3.37,
                                                      'fail_s': 0.0,
                                                      'RT_max': 40600.92,
                                                      'RT_avg': 14777.83,
                                                      'TP50': 7300.0,
                                                      'TP99': 35000.0},
                                       'query': {'Requests': 6021,
                                                 'Fails': 0,
                                                 'RPS': 1.67,
                                                 'fail_s': 0.0,
                                                 'RT_max': 40600.92,
                                                 'RT_avg': 23803.72,
                                                 'TP50': 23000.0,
                                                 'TP99': 37000.0},
                                       'search': {'Requests': 6121,
                                                  'Fails': 0,
                                                  'RPS': 1.7,
                                                  'fail_s': 0.0,
                                                  'RT_max': 9874.65,
                                                  'RT_avg': 5899.4,
                                                  'TP50': 5900.0,
                                                  'TP99': 7300.0}}}}}
wangting0128 commented 6 months ago

Recurrent

argo task: inverted-corn-1711728000 test case name: test_inverted_locust_varchar_dml_dql_cluster image: 2.4-20240329-32eff9c6e-amd64

server:

NAME                                                              READY   STATUS                            RESTARTS        AGE     IP              NODE         NOMINATED NODE   READINESS GATES
inverted-corn-128000-5-12-8571-etcd-0                             1/1     Running                           0               6m32s   10.104.25.71    4am-node30   <none>           <none>
inverted-corn-128000-5-12-8571-etcd-1                             1/1     Running                           0               6m32s   10.104.28.63    4am-node33   <none>           <none>
inverted-corn-128000-5-12-8571-etcd-2                             1/1     Running                           0               6m32s   10.104.33.206   4am-node36   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-datacoord-76cddfc5c5hk9n8   1/1     Running                           0               6m32s   10.104.14.154   4am-node18   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-datanode-5f88d9f47f-dz8d4   1/1     Running                           1 (2m1s ago)    6m32s   10.104.14.152   4am-node18   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-indexcoord-7cc64bb7btgvhc   1/1     Running                           0               6m32s   10.104.27.188   4am-node31   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-indexnode-5b6b5ddfb92xld7   1/1     Running                           0               6m32s   10.104.15.231   4am-node20   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-proxy-fb4f4578b-98l8q       1/1     Running                           1 (2m1s ago)    6m32s   10.104.14.153   4am-node18   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-querycoord-68896b896spjtn   1/1     Running                           1 (2m1s ago)    6m32s   10.104.14.151   4am-node18   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-querynode-b8f47f9ff-nxs5g   1/1     Running                           0               6m32s   10.104.5.111    4am-node12   <none>           <none>
inverted-corn-128000-5-12-8571-milvus-rootcoord-86d5565b7-hbmwh   1/1     Running                           1 (2m ago)      6m32s   10.104.25.65    4am-node30   <none>           <none>
inverted-corn-128000-5-12-8571-minio-0                            1/1     Running                           0               6m32s   10.104.25.72    4am-node30   <none>           <none>
inverted-corn-128000-5-12-8571-minio-1                            1/1     Running                           0               6m31s   10.104.28.64    4am-node33   <none>           <none>
inverted-corn-128000-5-12-8571-minio-2                            1/1     Running                           0               6m31s   10.104.27.194   4am-node31   <none>           <none>
inverted-corn-128000-5-12-8571-minio-3                            1/1     Running                           0               6m31s   10.104.17.218   4am-node23   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-bookie-0                    1/1     Running                           0               6m32s   10.104.25.73    4am-node30   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-bookie-1                    1/1     Running                           0               6m31s   10.104.28.65    4am-node33   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-bookie-2                    1/1     Running                           0               6m31s   10.104.17.219   4am-node23   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-bookie-init-wt7wf           0/1     Completed                         0               6m32s   10.104.17.212   4am-node23   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-broker-0                    1/1     Running                           0               6m32s   10.104.27.189   4am-node31   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-proxy-0                     1/1     Running                           0               6m32s   10.104.33.204   4am-node36   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-pulsar-init-42c74           0/1     Completed                         0               6m32s   10.104.25.64    4am-node30   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-recovery-0                  1/1     Running                           0               6m32s   10.104.17.211   4am-node23   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-zookeeper-0                 1/1     Running                           0               6m32s   10.104.27.192   4am-node31   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-zookeeper-1                 1/1     Running                           0               5m50s   10.104.18.105   4am-node25   <none>           <none>
inverted-corn-128000-5-12-8571-pulsar-zookeeper-2                 1/1     Running                           0               4m46s   10.104.23.61    4am-node27   <none>           <none>
截屏2024-04-01 12 01 54

client logs: 2279a88f-a64a-4577-8bfa-2596ca251e05

test steps:

        concurrent test and calculation of RT and QPS

        :purpose:  `varchar: different max_length`
            verify concurrent DML & DQL scenario which has 3 VARCHAR scalars fields and creating INVERTED index

        :test steps:
            1. create collection with fields:
                'float_vector': 3dim,
                'varchar_1': max_length=256, varchar_filled=True
                'varchar_2': max_length=32768, varchar_filled=True
                'varchar_3': max_length=65535, varchar_filled=True
            2. build indexes:
                IVF_FLAT: 'float_vector'
                INVERTED: 'varchar_1', 'varchar_2', 'varchar_3'
            3. insert 300k data
            4. flush collection
            5. build indexes again using the same params
            6. load collection <- raise error
            7. concurrent request:
                - insert
                - delete
                - flush
                - load
                - search
                - hybrid_search
                - query

server config:

{
     "queryNode": {
          "resources": {
               "limits": {
                    "cpu": "8",
                    "memory": "32Gi"
               },
               "requests": {
                    "cpu": "8",
                    "memory": "32Gi"
               }
          },
          "replicas": 1
     },
     "indexNode": {
          "resources": {
               "limits": {
                    "cpu": "4.0",
                    "memory": "16Gi"
               },
               "requests": {
                    "cpu": "3.0",
                    "memory": "9Gi"
               }
          },
          "replicas": 1
     },
     "dataNode": {
          "resources": {
               "limits": {
                    "cpu": "2.0",
                    "memory": "4Gi"
               },
               "requests": {
                    "cpu": "2.0",
                    "memory": "3Gi"
               }
          }
     },
     "cluster": {
          "enabled": true
     },
     "pulsar": {},
     "kafka": {},
     "minio": {
          "metrics": {
               "podMonitor": {
                    "enabled": true
               }
          }
     },
     "etcd": {
          "metrics": {
               "enabled": true,
               "podMonitor": {
                    "enabled": true
               }
          }
     },
     "metrics": {
          "serviceMonitor": {
               "enabled": true
          }
     },
     "log": {
          "level": "debug"
     },
     "image": {
          "all": {
               "repository": "harbor.milvus.io/milvus/milvus",
               "tag": "2.4-20240329-32eff9c6e-amd64"
          }
     }
}

client config:

{
     "dataset_params": {
          "metric_type": "L2",
          "dim": 3,
          "scalars_index": {
               "varchar_1": {
                    "index_type": "INVERTED"
               },
               "varchar_2": {
                    "index_type": "INVERTED"
               },
               "varchar_3": {
                    "index_type": "INVERTED"
               }
          },
          "scalars_params": {
               "varchar_1": {
                    "params": {
                         "max_length": 256
                    },
                    "other_params": {
                         "varchar_filled": true
                    }
               },
               "varchar_2": {
                    "params": {
                         "max_length": 32768
                    },
                    "other_params": {
                         "varchar_filled": true
                    }
               },
               "varchar_3": {
                    "params": {
                         "max_length": 65535
                    },
                    "other_params": {
                         "varchar_filled": true
                    }
               }
          },
          "dataset_name": "local",
          "dataset_size": 300000,
          "ni_per": 50
     },
     "collection_params": {
          "other_fields": [
               "varchar_1",
               "varchar_2",
               "varchar_3"
          ],
          "shards_num": 2
     },
     "resource_groups_params": {
          "reset": false
     },
     "database_user_params": {
          "reset_rbac": false,
          "reset_db": false
     },
     "index_params": {
          "index_type": "IVF_FLAT",
          "index_param": {
               "nlist": 1024
          }
     },
     "concurrent_params": {
          "concurrent_number": [
               50
          ],
          "during_time": "1h",
          "interval": 20
     },
     "concurrent_tasks": [
          {
               "type": "insert",
               "weight": 1,
               "params": {
                    "nb": 10,
                    "timeout": 30,
                    "random_id": true,
                    "random_vector": true,
                    "varchar_filled": false,
                    "start_id": 300000
               }
          },
          {
               "type": "delete",
               "weight": 1,
               "params": {
                    "expr": "",
                    "delete_length": 10,
                    "timeout": 30
               }
          },
          {
               "type": "flush",
               "weight": 1,
               "params": {
                    "timeout": 600
               }
          },
          {
               "type": "load",
               "weight": 1,
               "params": {
                    "replica_number": 1,
                    "timeout": 30
               }
          },
          {
               "type": "search",
               "weight": 1,
               "params": {
                    "nq": 1000,
                    "top_k": 1,
                    "search_param": {
                         "nprobe": 32
                    },
                    "expr": "varchar_1 like \"a%\" && varchar_2 like \"A%\" && varchar_3 like \"0%\" && id > 0",
                    "guarantee_timestamp": null,
                    "partition_names": null,
                    "output_fields": null,
                    "ignore_growing": false,
                    "group_by_field": null,
                    "timeout": 60,
                    "random_data": true
               }
          },
          {
               "type": "hybrid_search",
               "weight": 1,
               "params": {
                    "nq": 1,
                    "top_k": 10,
                    "reqs": [
                         {
                              "search_param": {
                                   "nprobe": 16
                              },
                              "anns_field": "float_vector",
                              "expr": "varchar_1 like \"0%\"",
                              "top_k": 2000
                         },
                         {
                              "search_param": {
                                   "nprobe": 128
                              },
                              "anns_field": "float_vector",
                              "expr": "varchar_2 like \"9%\""
                         }
                    ],
                    "rerank": {
                         "WeightedRanker": [
                              0.5,
                              0.5
                         ]
                    },
                    "output_fields": [
                         "*"
                    ],
                    "ignore_growing": false,
                    "guarantee_timestamp": null,
                    "partition_names": null,
                    "timeout": 60,
                    "random_data": true
               }
          },
          {
               "type": "query",
               "weight": 1,
               "params": {
                    "ids": null,
                    "expr": "varchar_3 like \"a%\" && ",
                    "output_fields": [
                         "*"
                    ],
                    "offset": null,
                    "limit": null,
                    "ignore_growing": false,
                    "partition_names": null,
                    "timeout": 60,
                    "random_data": true,
                    "random_count": 20,
                    "random_range": [
                         0,
                         150000
                    ],
                    "field_name": "id",
                    "field_type": "int64"
               }
          }
     ]
}
longjiquan commented 6 months ago

Let me explain why this issue still exists even after https://github.com/milvus-io/milvus/pull/31615 is merged.

Suppose we have 2 segments, which are seg_a and seg_b, and their vector index were built already. When the users are trying to load the collection, querycoord think seg_c should be loaded, which seg_c was compacted by seg_a and seg_b. The vector index for seg_c was ready, but the scalar index is in-progress. So the scalar will be loaded using raw data, which lead the memory prediction too high.

stale[bot] commented 4 months ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. Rotten issues close after 30d of inactivity. Reopen the issue with /reopen.