Error while removing field `field_name` from document
AzikDeveloper opened this issue · comments
Description
When i start typesense service using docker it is returning 503 error in all APIs.
I did bulk import of 10000s of documents. Total 30000. I am thinking maybe that is something to do with this error.
Collection Scheme
{
"name": "collection_5",
"enable_nested_fields": True,
"fields": [
{"name": "id", "type": "string"},
{"name": "available", "type": "bool"},
{"name": "name", "type": "string"},
{"name": "name_cy", "type": "string", "optional": True},
{"name": "name_lat", "type": "string", "optional": True},
{"name": "url", "type": "string", "optional": True, "index": False},
{"name": "picture", "type": "string", "optional": True, "index": False},
{"name": "price", "type": "float", "optional": True},
{"name": "old_price", "type": "float", "optional": True},
{"name": "ordering", "type": "int32", "optional": True},
{"name": "keywords", "type": "string[]", "optional": True},
{"name": "code", "type": "string", "optional": True, "index": False},
{"name": "category", "type": "object"},
{"name": "category.id", "type": "string", "facet": True},
{"name": "category.name", "type": "string"},
{"name": "category.name_cy", "type": "string", "optional": True},
{"name": "category.name_lat", "type": "string", "optional": True},
{"name": "category.url", "type": "string", "optional": True, "index": False},
{"name": "category.ordering", "type": "int32", "optional": True},
],
}
Logs
W20240304 10:59:34.117610 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118898465Z W20240304 10:59:34.117625 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118904743Z W20240304 10:59:34.117640 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118907752Z W20240304 10:59:34.117655 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118910634Z W20240304 10:59:34.117669 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118913594Z W20240304 10:59:34.117684 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118916514Z W20240304 10:59:34.117699 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118919430Z W20240304 10:59:34.117714 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118922364Z W20240304 10:59:34.117728 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118925553Z W20240304 10:59:34.117743 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:34.118928486Z W20240304 10:59:34.117758 300 index.cpp:6181] Error while removing field category.ordering
from document, message: [json.exception.type_error.302] type must be number, but is null
2024-03-04T10:59:36.555116368Z I20240304 10:59:36.554966 262 raft_server.cpp:557] Term: 73, pending_queue: 0, last_index: 297, committed: 297, known_applied: 297, applying: 0, pending_writes: 0, queued_writes: 0, local_sequence: 630316
2024-03-04T10:59:36.555134636Z
Metadata
Typesense Version: 0.25.2
OS: docker image
Would you be able to share a simple dataset with few records where we can reproduce this error?