Spade A 26ec841feb
feat: optimize Like query with n-gram (#41803)
Ref #42053

This is the first PR for optimizing `LIKE` with ngram inverted index.
Now, only VARCHAR data type is supported and only InnerMatch LIKE
(%xxx%) query is supported.


How to use it:
```
milvus_client = MilvusClient("http://localhost:19530")
schema = milvus_client.create_schema()
...
schema.add_field("content_ngram", DataType.VARCHAR, max_length=10000)
...
index_params = milvus_client.prepare_index_params()
index_params.add_index(field_name="content_ngram", index_type="NGRAM", index_name="ngram_index", min_gram=2, max_gram=3)
milvus_client.create_collection(COLLECTION_NAME, ...)
```

min_gram and max_gram controls how we tokenize the documents. For
example, for min_gram=2 and max_gram=4, we will tokenize each document
with 2-gram, 3-gram and 4-gram.

---------

Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
2025-07-01 10:08:44 +08:00
..
2023-09-21 09:45:27 +08:00
2023-09-26 17:15:27 +08:00
2021-11-16 15:41:11 +08:00

Data Coordinator

Data cooridnator(datacoord for short) is the component to organize DataNodes and segments allocations.

Dependency

  • KV store: a kv store has all the meta info datacoord needs to operate. (etcd)
  • Message stream: a message stream to communicate statistics information with data nodes. (Pulsar)
  • Root Coordinator: timestamp, id and meta source.
  • Data Node(s): could be an instance or a cluster, actual worker group handles data modification operations.