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刪除實體

您可以透過篩選條件或其主鍵刪除不再需要的實體。

透過篩選條件刪除實體

在批量刪除共享某些屬性的多個實體時,您可以使用篩選表達式。下面的示例代碼使用in運算符批量刪除所有顏色欄位設定為紅色綠色值的實體。您也可以使用其他運算符來建構符合您需求的篩選表達式。有關過濾表達式的詳細資訊,請參閱Metadata 過濾

from pymilvus import MilvusClient

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

res = client.delete(
    collection_name="quick_setup",
    # highlight-next-line
    filter="color in ['red_3314', 'purple_7392']"
)

print(res)

# Output
# {'delete_count': 2}

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;

ilvusClientV2 client = new MilvusClientV2(ConnectConfig.builder()
        .uri("http://localhost:19530")
        .token("root:Milvus")
        .build());

DeleteResp deleteResp = client.delete(DeleteReq.builder()
        .collectionName("quick_setup")
        .filter("color in ['red_3314', 'purple_7392']")
        .build());


const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")

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

// 7. Delete entities
res = await client.delete({
    collection_name: "quick_setup",
    // highlight-next-line
    filter: "color in ['red', 'green']"
})

console.log(res.delete_cnt)

// Output
// 
// 3
// 

export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"

curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/entities/delete" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
    "collectionName": "quick_setup",
    "filter": "color in [\"red_3314\", \"purple_7392\"]"
}'

依據主鍵刪除實體

在大多數情況下,一個主鍵唯一地識別一個 Entity。您可以在刪除請求中設定 Entity 的 primary key 來刪除 Entity。下面的示例代碼演示了如何刪除兩個具有主鍵1819 的實體。

res = client.delete(
    collection_name="quick_setup",
    # highlight-next-line
    ids=[18, 19]
)

print(res)

# Output
# {'delete_count': 2}

import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;

import java.util.Arrays;


DeleteResp deleteResp = client.delete(DeleteReq.builder()
        .collectionName("quick_setup")
        .ids(Arrays.asList(18, 19))
        .build());

const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")

res = await client.delete({
    collection_name: "quick_setup",
    ids: [18, 19]
})

console.log(res.delete_cnt)

// Output
// 
// 2
// 

export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"

curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/entities/delete" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
    "collectionName": "quick_setup",
    "filter": "id in [18, 19]"
}'
## {"code":0,"cost":0,"data":{}}

從分區刪除實體

您也可以刪除儲存在特定分區中的實體。以下的程式碼片段假設您的集合中有一個名為PartitionA的分割區。

res = client.delete(
    collection_name="quick_setup",
    ids=[18, 19],
    partition_name="partitionA"
)

print(res)

# Output
# {'delete_count': 2}

import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;

import java.util.Arrays;

DeleteResp deleteResp = client.delete(DeleteReq.builder()
        .collectionName("quick_setup")
        .ids(Arrays.asList(18, 19))
        .partitionName("partitionA")
        .build());

const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")

res = await client.delete({
    collection_name: "quick_setup",
    ids: [18, 19],
    partition_name: "partitionA"
})

console.log(res.delete_cnt)

// Output
// 
// 2
// 

export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"

curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/entities/delete" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
    "collectionName": "quick_setup",
    "partitionName": "partitionA",
    "filter": "id in [18, 19]"
}'

# {
#     "code": 0,
#     "cost": 0,
#     "data": {}
# }

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