• 关于 Milvus
  • 开始
  • 概念
  • 用户指南
  • 数据导入
  • 人工智能工具
  • 管理指南
  • 工具
  • 集成
  • 教程
  • 常见问题
  • API Reference

删除实体

您可以通过筛选条件或主键删除不再需要的实体。

通过筛选条件删除实体

批量删除共享某些属性的多个实体时,可以使用过滤表达式。下面的示例代码使用in操作符批量删除了所有颜色字段设置为红色紫色的实体。你也可以使用其他操作符来构建符合你要求的过滤表达式。有关过滤表达式的更多信息,请参阅《过滤详解》

from pymilvus import MilvusClient

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

res = client.delete(
    collection_name="quick_setup",
    filter="color in ['red_7025', 'purple_4976]"
)

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_7025', 'purple_4976]")
        .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",
    filter: "color in ['red_7025', 'purple_4976]"
})

console.log(res.delete_cnt)

// Output
// 
// 3
// 
import (
    "context"
    "fmt"

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

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

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

_, err = client.Delete(ctx, milvusclient.NewDeleteOption("quick_setup").WithExpr("color in ['red_7025', 'purple_4976']"))
if err != nil {
    fmt.Println(err.Error())
    // handle err
}
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" \
--header "Request-Timeout: 10" \
-d '{
    "collectionName": "quick_setup",
    "filter": "color in [\"red_7025\", \"purple_4976\"]"
}'

通过主键删除实体

在大多数情况下,主键唯一标识一个实体。你可以通过在删除请求中设置实体的主键来删除实体。下面的示例代码演示了如何删除主键为1819 的两个实体。

res = client.delete(
    collection_name="quick_setup",
    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
// 
_, err = client.Delete(ctx, milvusclient.NewDeleteOption("quick_setup").
    WithInt64IDs("id", []int64{18, 19}))
if err != nil {
    fmt.Println(err.Error())
    // handle err
}
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" \
--header "Request-Timeout: 10" \
-d '{
    "collectionName": "quick_setup",
    "filter": "id in [18, 19]"
}'
## {"code":0,"cost":0,"data":{}}

从分区中删除实体

您还可以删除存储在特定分区中的实体。以下代码片段假定您的 Collection 中有一个名为PartitionA的分区。

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
// 
_, err = client.Delete(ctx, milvusclient.NewDeleteOption("quick_setup").
    WithInt64IDs("id", []int64{18, 19}).
    WithPartition("partitionA"))
if err != nil {
    fmt.Println(err.Error())
    // handle err
}
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" \
--header "Request-Timeout: 10" \
-d '{
    "collectionName": "quick_setup",
    "partitionName": "partitionA",
    "filter": "id in [18, 19]"
}'

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

想要更快、更简单、更好用的 Milvus SaaS服务 ?

Zilliz Cloud是基于Milvus的全托管向量数据库,拥有更高性能,更易扩展,以及卓越性价比

免费试用 Zilliz Cloud
反馈

此页对您是否有帮助?