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和绿色的实体。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,请参阅元数据过滤。
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 ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
"collectionName": "quick_setup",
"filter": "color in [\"red_3314\", \"purple_7392\"]"
}'
通过主键删除实体
在大多数情况下,一个主键可以唯一标识一个实体。你可以通过在删除请求中设置实体的主键来删除实体。下面的示例代码演示了如何删除主键为18和19 的两个实体。
res = client.delete(
collection_name="quick_setup",
# highlight-next-line
ids=[18, 19]
)
print(res)
# Output
# {'delete_count': 2}
import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;
import java.util.Arrays;
DeleteResp deleteResp = client.delete(DeleteReq.builder()
.collectionName("quick_setup")
.ids(Arrays.asList(18, 19))
.build());
const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")
res = await client.delete({
collection_name: "quick_setup",
ids: [18, 19]
})
console.log(res.delete_cnt)
// Output
//
// 2
//
export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"
curl --request POST \
--url "${CLUSTER_ENDPOINT}/v2/vectordb/entities/delete" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
"collectionName": "quick_setup",
"filter": "id in [18, 19]"
}'
## {"code":0,"cost":0,"data":{}}
从分区中删除实体
您还可以删除存储在特定分区中的实体。以下代码片段假定您的 Collection 中有一个名为PartitionA的分区。
res = client.delete(
collection_name="quick_setup",
ids=[18, 19],
partition_name="partitionA"
)
print(res)
# Output
# {'delete_count': 2}
import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;
import java.util.Arrays;
DeleteResp deleteResp = client.delete(DeleteReq.builder()
.collectionName("quick_setup")
.ids(Arrays.asList(18, 19))
.partitionName("partitionA")
.build());
const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")
res = await client.delete({
collection_name: "quick_setup",
ids: [18, 19],
partition_name: "partitionA"
})
console.log(res.delete_cnt)
// Output
//
// 2
//
export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"
curl --request POST \
--url "${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": {}
# }