Melihat Koleksi

Anda dapat memperoleh daftar nama semua koleksi dalam basis data yang sedang tersambung, dan memeriksa rincian koleksi tertentu.

Daftar Koleksi

Contoh berikut ini menunjukkan cara mendapatkan daftar nama semua koleksi di dalam basis data yang sedang tersambung.

from pymilvus import MilvusClient, DataType

client = MilvusClient(
    uri="http://localhost:19530",
    token="root:Milvus"
)

res = client.list_collections()

print(res)

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.collection.response.ListCollectionsResp;

ConnectConfig connectConfig = ConnectConfig.builder()
        .uri("http://localhost:19530")
        .token("root:Milvus")
        .build();

MilvusClientV2 client = new MilvusClientV2(connectConfig);

ListCollectionsResp resp = client.listCollections();
System.out.println(resp.getCollectionNames());

import { MilvusClient } from '@zilliz/milvus2-sdk-node';

const client = new MilvusClient({
    address: 'localhost:19530',
    token: 'root:Milvus'
});

const collections = await client.listCollections();
console.log(collections);

import (
    "context"
    "fmt"

    "github.com/milvus-io/milvus/client/v2/milvusclient"
)

ctx, cancel := context.WithCancel(context.Background())
defer cancel()

milvusAddr := "localhost:19530"
token := "root:Milvus"
client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
    Address: milvusAddr,
    APIKey:  token,
})
if err != nil {
    fmt.Println(err.Error())
    // handle err
}
defer client.Close(ctx)

collectionNames, err := client.ListCollections(ctx, milvusclient.NewListCollectionOption())
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

fmt.Println(collectionNames)

curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/collections/list" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{}'

Jika Anda telah membuat koleksi bernama quick_setup, hasil dari contoh di atas akan serupa dengan yang berikut ini.

["quick_setup"]

Mendeskripsikan Koleksi

Anda juga dapat memperoleh detail dari koleksi tertentu. Contoh berikut ini mengasumsikan bahwa Anda telah membuat koleksi bernama quick_setup.

res = client.describe_collection(
    collection_name="quick_setup"
)

print(res)

import io.milvus.v2.service.collection.request.DescribeCollectionReq;
import io.milvus.v2.service.collection.response.DescribeCollectionResp;

DescribeCollectionReq request = DescribeCollectionReq.builder()
        .collectionName("quick_setup")
        .build();
DescribeCollectionResp resp = client.describeCollection(request);
System.out.println(resp);

const res = await client.describeCollection({
    collection_name: "quick_setup"
});

console.log(res);

collection, err := client.DescribeCollection(ctx, milvusclient.NewDescribeCollectionOption("quick_setup"))
if err != nil {
    fmt.Println(err.Error())
    // handle err
}

fmt.Println(collection)

curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/collections/describe" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
    "collectionName": "quick_setup"
}'

Hasil dari contoh di atas seharusnya serupa dengan yang berikut ini.

{
    'collection_name': 'quick_setup', 
    'auto_id': False, 
    'num_shards': 1, 
    'description': '', 
    'fields': [
        {
            'field_id': 100, 
            'name': 'id', 
            'description': '', 
            'type': <DataType.INT64: 5>, 
            'params': {}, 
            'is_primary': True
        }, 
        {
            'field_id': 101, 
            'name': 'vector', 
            'description': '', 
            'type': <DataType.FLOAT_VECTOR: 101>, 
            'params': {'dim': 768}
        }
    ], 
    'functions': [], 
    'aliases': [], 
    'collection_id': 456909630285026300, 
    'consistency_level': 2, 
    'properties': {}, 
    'num_partitions': 1, 
    'enable_dynamic_field': True
}