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和綠色值的實體。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 ${TOKEN}" \
--header "Content-Type: application/json" \
-d '{
"collectionName": "quick_setup",
"filter": "color in [\"red_3314\", \"purple_7392\"]"
}'
依據主鍵刪除實體
在大多數情況下,一個主鍵唯一地識別一個 Entity。您可以在刪除請求中設定 Entity 的 primary key 來刪除 Entity。下面的示例代碼演示了如何刪除兩個具有主鍵18和19 的實體。
res = client.delete(
collection_name="quick_setup",
# highlight-next-line
ids=[18, 19]
)
print(res)
# Output
# {'delete_count': 2}
import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;
import java.util.Arrays;
DeleteResp deleteResp = client.delete(DeleteReq.builder()
.collectionName("quick_setup")
.ids(Arrays.asList(18, 19))
.build());
const { MilvusClient, DataType } = require("@zilliz/milvus2-sdk-node")
res = await client.delete({
collection_name: "quick_setup",
ids: [18, 19]
})
console.log(res.delete_cnt)
// Output
//
// 2
//
export CLUSTER_ENDPOINT="http://localhost:19530"
export TOKEN="root:Milvus"
curl --request POST \
--url "${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": {}
# }