插入、上插和删除
本指南将向您介绍 Collections 中的数据操作符，包括插入、向上插入和删除。
开始之前
您已安装了所选的 SDK。要安装 SDK，请参阅安装 SDK。
您已创建了一个 Collections。要创建一个Collections，请参阅管理 Collections。
要插入大量数据，建议使用数据导入。
概述
实体，在 Milvus 集合的上下文中，是集合中的一个单一的、可识别的实例。它代表特定类别中的一个独特成员，无论是图书馆中的一本书、基因组中的一个基因，还是其他任何可识别的实体。
Collections 中的实体共享一组共同的属性（称为 Schema），这些属性概述了每个实体必须遵守的结构，包括字段名称、数据类型和其他限制条件。
要将实体成功插入 Collections，所提供的数据必须包含目标 Collections 的所有 Schema 定义字段。此外，只有启用了动态字段，才能包含非 Schema 定义的字段。有关详细信息，请参阅启用动态字段。
准备工作
下面的代码片段重新利用了现有代码，以建立与 Milvus 集群的连接，并快速设置一个 Collections。
对于准备工作，使用 MilvusClient连接到 Milvus 服务器，并使用 create_collection()以快速设置模式创建 Collections。
对于准备工作，使用 MilvusClientV2连接到 Milvus 服务器，并使用 createCollection()以快速设置模式创建 Collections。
对于准备工作，使用 MilvusClient连接到 Milvus 服务器，并使用 createCollection()以快速设置模式创建 Collections。
from pymilvus import MilvusClient
# 1. Set up a Milvus client
client = MilvusClient(
uri="http://localhost:19530"
)
# 2. Create a collection
client.create_collection(
collection_name="quick_setup",
dimension=5,
metric_type="IP"
)
import com.google.gson.Gson;
import com.google.gson.JsonObject;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.service.collection.request.CreateCollectionReq;
import io.milvus.v2.service.partition.request.CreatePartitionReq;
import io.milvus.v2.service.vector.request.*;
import io.milvus.v2.service.vector.response.*;
String CLUSTER_ENDPOINT = "http://localhost:19530";
// 1. Connect to Milvus server
ConnectConfig connectConfig = ConnectConfig.builder()
.uri(CLUSTER_ENDPOINT)
.build();
MilvusClientV2 client = new MilvusClientV2(connectConfig);
// 2. Create a collection in quick setup mode
CreateCollectionReq quickSetupReq = CreateCollectionReq.builder()
.collectionName("quick_setup")
.dimension(5)
.metricType("IP")
.build();
client.createCollection(quickSetupReq);
const { MilvusClient, DataType, sleep } = require("@zilliz/milvus2-sdk-node")
const address = "http://localhost:19530"
// 1. Set up a Milvus Client
client = new MilvusClient({address});
// 2. Create a collection in quick setup mode
await client.createCollection({
collection_name: "quick_setup",
dimension: 5,
metric_type: "IP"
});
注释
上述代码生成的 Collections 只包含两个字段：id （作为主键）和vector （作为向量字段），默认启用auto_id 和enable_dynamic_field 设置。插入数据时、
无需在要插入的数据中包含id，因为主字段会在插入数据时自动递增。
非 Schema 定义的字段将以键值对的形式保存在名为$meta 的预留 JSON 字段中。
插入实体
要插入实体，需要将数据组织成一个字典列表，其中每个字典代表一个实体。每个字典都包含与目标 Collections 中预定义字段和动态字段相对应的键。
要将实体插入 Collections，请使用 insert()方法。
要将实体插入 Collections，请使用 insert()方法。
要将实体插入 Collections，请使用 insert()方法。
# 3. Insert some data
data=[
{"id": 0, "vector": [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], "color": "pink_8682"},
{"id": 1, "vector": [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], "color": "red_7025"},
{"id": 2, "vector": [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], "color": "orange_6781"},
{"id": 3, "vector": [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], "color": "pink_9298"},
{"id": 4, "vector": [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], "color": "red_4794"},
{"id": 5, "vector": [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], "color": "yellow_4222"},
{"id": 6, "vector": [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], "color": "red_9392"},
{"id": 7, "vector": [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], "color": "grey_8510"},
{"id": 8, "vector": [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], "color": "white_9381"},
{"id": 9, "vector": [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], "color": "purple_4976"}
]
res = client.insert(
collection_name="quick_setup",
data=data
)
print(res)
# Output
#
# {
# "insert_count": 10,
# "ids": [
# 0,
# 1,
# 2,
# 3,
# 4,
# 5,
# 6,
# 7,
# 8,
# 9
# ]
# }
// 3. Insert some data
Gson gson = new Gson();
List<JsonObject> data = Arrays.asList(
gson.fromJson("{\"id\": 0, \"vector\": [0.3580376395471989f, -0.6023495712049978f, 0.18414012509913835f, -0.26286205330961354f, 0.9029438446296592f], \"color\": \"pink_8682\"}", JsonObject.class),
gson.fromJson("{\"id\": 1, \"vector\": [0.19886812562848388f, 0.06023560599112088f, 0.6976963061752597f, 0.2614474506242501f, 0.838729485096104f], \"color\": \"red_7025\"}", JsonObject.class),
gson.fromJson("{\"id\": 2, \"vector\": [0.43742130801983836f, -0.5597502546264526f, 0.6457887650909682f, 0.7894058910881185f, 0.20785793220625592f], \"color\": \"orange_6781\"}", JsonObject.class),
gson.fromJson("{\"id\": 3, \"vector\": [0.3172005263489739f, 0.9719044792798428f, -0.36981146090600725f, -0.4860894583077995f, 0.95791889146345f], \"color\": \"pink_9298\"}", JsonObject.class),
gson.fromJson("{\"id\": 4, \"vector\": [0.4452349528804562f, -0.8757026943054742f, 0.8220779437047674f, 0.46406290649483184f, 0.30337481143159106f], \"color\": \"red_4794\"}", JsonObject.class),
gson.fromJson("{\"id\": 5, \"vector\": [0.985825131989184f, -0.8144651566660419f, 0.6299267002202009f, 0.1206906911183383f, -0.1446277761879955f], \"color\": \"yellow_4222\"}", JsonObject.class),
gson.fromJson("{\"id\": 6, \"vector\": [0.8371977790571115f, -0.015764369584852833f, -0.31062937026679327f, -0.562666951622192f, -0.8984947637863987f], \"color\": \"red_9392\"}", JsonObject.class),
gson.fromJson("{\"id\": 7, \"vector\": [-0.33445148015177995f, -0.2567135004164067f, 0.8987539745369246f, 0.9402995886420709f, 0.5378064918413052f], \"color\": \"grey_8510\"}", JsonObject.class),
gson.fromJson("{\"id\": 8, \"vector\": [0.39524717779832685f, 0.4000257286739164f, -0.5890507376891594f, -0.8650502298996872f, -0.6140360785406336f], \"color\": \"white_9381\"}", JsonObject.class),
gson.fromJson("{\"id\": 9, \"vector\": [0.5718280481994695f, 0.24070317428066512f, -0.3737913482606834f, -0.06726932177492717f, -0.6980531615588608f], \"color\": \"purple_4976\"}", JsonObject.class)
);
InsertReq insertReq = InsertReq.builder()
.collectionName("quick_setup")
.data(data)
.build();
InsertResp insertResp = client.insert(insertReq);
System.out.println(insertResp.getInsertCnt());
// Output:
// 10
// 3. Insert some data
var data = [
{id: 0, vector: [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], color: "pink_8682"},
{id: 1, vector: [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], color: "red_7025"},
{id: 2, vector: [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], color: "orange_6781"},
{id: 3, vector: [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], color: "pink_9298"},
{id: 4, vector: [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], color: "red_4794"},
{id: 5, vector: [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], color: "yellow_4222"},
{id: 6, vector: [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], color: "red_9392"},
{id: 7, vector: [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], color: "grey_8510"},
{id: 8, vector: [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], color: "white_9381"},
{id: 9, vector: [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], color: "purple_4976"}
]
var res = await client.insert({
collection_name: "quick_setup",
data: data,
})
console.log(res.insert_cnt)
// Output
//
// 10
//
插入分区
要将数据插入特定分区，可在插入请求中指定分区名称，如下所示：
# 4. Insert some more data into a specific partition
data=[
{"id": 10, "vector": [-0.5570353903748935, -0.8997887893201304, -0.7123782431855732, -0.6298990746450119, 0.6699215060604258], "color": "red_1202"},
{"id": 11, "vector": [0.6319019033373907, 0.6821488267878275, 0.8552303045704168, 0.36929791364943054, -0.14152860714878068], "color": "blue_4150"},
{"id": 12, "vector": [0.9483947484855766, -0.32294203351925344, 0.9759290319978025, 0.8262982148666174, -0.8351194181285713], "color": "orange_4590"},
{"id": 13, "vector": [-0.5449109892498731, 0.043511240563786524, -0.25105249484790804, -0.012030655265886425, -0.0010987671273892108], "color": "pink_9619"},
{"id": 14, "vector": [0.6603339372951424, -0.10866551787442225, -0.9435597754324891, 0.8230244263466688, -0.7986720938400362], "color": "orange_4863"},
{"id": 15, "vector": [-0.8825129181091456, -0.9204557711667729, -0.935350065513425, 0.5484069690287079, 0.24448151140671204], "color": "orange_7984"},
{"id": 16, "vector": [0.6285586391568163, 0.5389064528263487, -0.3163366239905099, 0.22036279378888013, 0.15077052220816167], "color": "blue_9010"},
{"id": 17, "vector": [-0.20151825016059233, -0.905239387635804, 0.6749305353372479, -0.7324272081377843, -0.33007998971889263], "color": "blue_4521"},
{"id": 18, "vector": [0.2432286610792349, 0.01785636564206139, -0.651356982731391, -0.35848148851027895, -0.7387383128324057], "color": "orange_2529"},
{"id": 19, "vector": [0.055512329053363674, 0.7100266349039421, 0.4956956543575197, 0.24541352586717702, 0.4209030729923515], "color": "red_9437"}
]
client.create_partition(
collection_name="quick_setup",
partition_name="partitionA"
)
res = client.insert(
collection_name="quick_setup",
data=data,
partition_name="partitionA"
)
print(res)
# Output
#
# {
# "insert_count": 10,
# "ids": [
# 10,
# 11,
# 12,
# 13,
# 14,
# 15,
# 16,
# 17,
# 18,
# 19
# ]
# }
// 4. Insert some more data into a specific partition
Gson gson = new Gson();
List<JsonObject> data = Arrays.asList(
gson.fromJson("{\"id\": 10, \"vector\": [-0.5570353903748935f, -0.8997887893201304f, -0.7123782431855732f, -0.6298990746450119f, 0.6699215060604258f], \"color\": \"red_1202\"}", JsonObject.class),
gson.fromJson("{\"id\": 11, \"vector\": [0.6319019033373907f, 0.6821488267878275f, 0.8552303045704168f, 0.36929791364943054f, -0.14152860714878068f], \"color\": \"blue_4150\"}", JsonObject.class),
gson.fromJson("{\"id\": 12, \"vector\": [0.9483947484855766f, -0.32294203351925344f, 0.9759290319978025f, 0.8262982148666174f, -0.8351194181285713f], \"color\": \"orange_4590\"}", JsonObject.class),
gson.fromJson("{\"id\": 13, \"vector\": [-0.5449109892498731f, 0.043511240563786524f, -0.25105249484790804f, -0.012030655265886425f, -0.0010987671273892108f], \"color\": \"pink_9619\"}", JsonObject.class),
gson.fromJson("{\"id\": 14, \"vector\": [0.6603339372951424f, -0.10866551787442225f, -0.9435597754324891f, 0.8230244263466688f, -0.7986720938400362f], \"color\": \"orange_4863\"}", JsonObject.class),
gson.fromJson("{\"id\": 15, \"vector\": [-0.8825129181091456f, -0.9204557711667729f, -0.935350065513425f, 0.5484069690287079f, 0.24448151140671204f], \"color\": \"orange_7984\"}", JsonObject.class),
gson.fromJson("{\"id\": 16, \"vector\": [0.6285586391568163f, 0.5389064528263487f, -0.3163366239905099f, 0.22036279378888013f, 0.15077052220816167f], \"color\": \"blue_9010\"}", JsonObject.class),
gson.fromJson("{\"id\": 17, \"vector\": [-0.20151825016059233f, -0.905239387635804f, 0.6749305353372479f, -0.7324272081377843f, -0.33007998971889263f], \"color\": \"blue_4521\"}", JsonObject.class),
gson.fromJson("{\"id\": 18, \"vector\": [0.2432286610792349f, 0.01785636564206139f, -0.651356982731391f, -0.35848148851027895f, -0.7387383128324057f], \"color\": \"orange_2529\"}", JsonObject.class),
gson.fromJson("{\"id\": 19, \"vector\": [0.055512329053363674f, 0.7100266349039421f, 0.4956956543575197f, 0.24541352586717702f, 0.4209030729923515f], \"color\": \"red_9437\"}", JsonObject.class)
);
CreatePartitionReq createPartitionReq = CreatePartitionReq.builder()
.collectionName("quick_setup")
.partitionName("partitionA")
.build();
client.createPartition(createPartitionReq);
InsertReq insertReq = InsertReq.builder()
.collectionName("quick_setup")
.data(data)
.partitionName("partitionA")
.build();
InsertResp insertResp = client.insert(insertReq);
System.out.println(insertResp.getInsertCnt());
// Output:
// 10
// 4. Insert some more data into a specific partition
data = [
{id: 10, vector: [-0.5570353903748935, -0.8997887893201304, -0.7123782431855732, -0.6298990746450119, 0.6699215060604258], color: "red_1202"},
{id: 11, vector: [0.6319019033373907, 0.6821488267878275, 0.8552303045704168, 0.36929791364943054, -0.14152860714878068], color: "blue_4150"},
{id: 12, vector: [0.9483947484855766, -0.32294203351925344, 0.9759290319978025, 0.8262982148666174, -0.8351194181285713], color: "orange_4590"},
{id: 13, vector: [-0.5449109892498731, 0.043511240563786524, -0.25105249484790804, -0.012030655265886425, -0.0010987671273892108], color: "pink_9619"},
{id: 14, vector: [0.6603339372951424, -0.10866551787442225, -0.9435597754324891, 0.8230244263466688, -0.7986720938400362], color: "orange_4863"},
{id: 15, vector: [-0.8825129181091456, -0.9204557711667729, -0.935350065513425, 0.5484069690287079, 0.24448151140671204], color: "orange_7984"},
{id: 16, vector: [0.6285586391568163, 0.5389064528263487, -0.3163366239905099, 0.22036279378888013, 0.15077052220816167], color: "blue_9010"},
{id: 17, vector: [-0.20151825016059233, -0.905239387635804, 0.6749305353372479, -0.7324272081377843, -0.33007998971889263], color: "blue_4521"},
{id: 18, vector: [0.2432286610792349, 0.01785636564206139, -0.651356982731391, -0.35848148851027895, -0.7387383128324057], color: "orange_2529"},
{id: 19, vector: [0.055512329053363674, 0.7100266349039421, 0.4956956543575197, 0.24541352586717702, 0.4209030729923515], color: "red_9437"}
]
await client.createPartition({
collection_name: "quick_setup",
partition_name: "partitionA"
})
res = await client.insert({
collection_name: "quick_setup",
data: data,
partition_name: "partitionA"
})
console.log(res.insert_cnt)
// Output
//
// 10
//
输出结果是一个字典，其中包含受影响实体的统计数据。有关分区操作的详细信息，请参阅管理分区。
倒插实体
向上插入数据是更新和插入操作的组合。在 Milvus 中，upsert 操作执行数据级操作，根据实体的主键是否已存在于 Collections 中来插入或更新实体。具体来说
如果实体的主键已存在于 Collections 中，现有实体将被覆盖。
如果集合中不存在主键，则会插入一个新实体。
- 向上插入操作不会更新主键。
- 如果计划在大规模数据摄取（如数百万向量）时使用
upsert操作符而不是insert，请注意这会导致 Milvus 数据节点的内存消耗过高。
要向上插入实体，请使用 upsert()方法。
要插入实体，请使用 upsert()方法。
要上载实体，请使用 upsert()方法。
# 5. Upsert some data
data=[
{"id": 0, "vector": [-0.619954382375778, 0.4479436794798608, -0.17493894838751745, -0.4248030059917294, -0.8648452746018911], "color": "black_9898"},
{"id": 1, "vector": [0.4762662251462588, -0.6942502138717026, -0.4490002642657902, -0.628696575798281, 0.9660395877041965], "color": "red_7319"},
{"id": 2, "vector": [-0.8864122635045097, 0.9260170474445351, 0.801326976181461, 0.6383943392381306, 0.7563037341572827], "color": "white_6465"},
{"id": 3, "vector": [0.14594326235891586, -0.3775407299900644, -0.3765479013078812, 0.20612075380355122, 0.4902678929632145], "color": "orange_7580"},
{"id": 4, "vector": [0.4548498669607359, -0.887610217681605, 0.5655081329910452, 0.19220509387904117, 0.016513983433433577], "color": "red_3314"},
{"id": 5, "vector": [0.11755001847051827, -0.7295149788999611, 0.2608115847524266, -0.1719167007897875, 0.7417611743754855], "color": "black_9955"},
{"id": 6, "vector": [0.9363032158314308, 0.030699901477745373, 0.8365910312319647, 0.7823840208444011, 0.2625222076909237], "color": "yellow_2461"},
{"id": 7, "vector": [0.0754823906014721, -0.6390658668265143, 0.5610517334334937, -0.8986261118798251, 0.9372056764266794], "color": "white_5015"},
{"id": 8, "vector": [-0.3038434006935904, 0.1279149203380523, 0.503958664270957, -0.2622661156746988, 0.7407627307791929], "color": "purple_6414"},
{"id": 9, "vector": [-0.7125086947677588, -0.8050968321012257, -0.32608864121785786, 0.3255654958645424, 0.26227968923834233], "color": "brown_7231"}
]
res = client.upsert(
collection_name='quick_setup',
data=data
)
print(res)
# Output
#
# {
# "upsert_count": 10
# }
// 5. Upsert some data
Gson gson = new Gson();
List<JsonObject> data = Arrays.asList(
gson.fromJson("{\"id\": 0, \"vector\": [-0.619954382375778f, 0.4479436794798608f, -0.17493894838751745f, -0.4248030059917294f, -0.8648452746018911f], \"color\": \"black_9898\"}", JsonObject.class),
gson.fromJson("{\"id\": 1, \"vector\": [0.4762662251462588f, -0.6942502138717026f, -0.4490002642657902f, -0.628696575798281f, 0.9660395877041965f], \"color\": \"red_7319\"}", JsonObject.class),
gson.fromJson("{\"id\": 2, \"vector\": [-0.8864122635045097f, 0.9260170474445351f, 0.801326976181461f, 0.6383943392381306f, 0.7563037341572827f], \"color\": \"white_6465\"}", JsonObject.class),
gson.fromJson("{\"id\": 3, \"vector\": [0.14594326235891586f, -0.3775407299900644f, -0.3765479013078812f, 0.20612075380355122f, 0.4902678929632145f], \"color\": \"orange_7580\"}", JsonObject.class),
gson.fromJson("{\"id\": 4, \"vector\": [0.4548498669607359f, -0.887610217681605f, 0.5655081329910452f, 0.19220509387904117f, 0.016513983433433577f], \"color\": \"red_3314\"}", JsonObject.class),
gson.fromJson("{\"id\": 5, \"vector\": [0.11755001847051827f, -0.7295149788999611f, 0.2608115847524266f, -0.1719167007897875f, 0.7417611743754855f], \"color\": \"black_9955\"}", JsonObject.class),
gson.fromJson("{\"id\": 6, \"vector\": [0.9363032158314308f, 0.030699901477745373f, 0.8365910312319647f, 0.7823840208444011f, 0.2625222076909237f], \"color\": \"yellow_2461\"}", JsonObject.class),
gson.fromJson("{\"id\": 7, \"vector\": [0.0754823906014721f, -0.6390658668265143f, 0.5610517334334937f, -0.8986261118798251f, 0.9372056764266794f], \"color\": \"white_5015\"}", JsonObject.class),
gson.fromJson("{\"id\": 8, \"vector\": [-0.3038434006935904f, 0.1279149203380523f, 0.503958664270957f, -0.2622661156746988f, 0.7407627307791929f], \"color\": \"purple_6414\"}", JsonObject.class),
gson.fromJson("{\"id\": 9, \"vector\": [-0.7125086947677588f, -0.8050968321012257f, -0.32608864121785786f, 0.3255654958645424f, 0.26227968923834233f], \"color\": \"brown_7231\"}", JsonObject.class)
);
UpsertReq upsertReq = UpsertReq.builder()
.collectionName("quick_setup")
.data(data)
.build();
UpsertResp upsertResp = client.upsert(upsertReq);
System.out.println(upsertResp.getUpsertCnt());
// Output:
// 10
// 5. Upsert some data
data = [
{id: 0, vector: [-0.619954382375778, 0.4479436794798608, -0.17493894838751745, -0.4248030059917294, -0.8648452746018911], color: "black_9898"},
{id: 1, vector: [0.4762662251462588, -0.6942502138717026, -0.4490002642657902, -0.628696575798281, 0.9660395877041965], color: "red_7319"},
{id: 2, vector: [-0.8864122635045097, 0.9260170474445351, 0.801326976181461, 0.6383943392381306, 0.7563037341572827], color: "white_6465"},
{id: 3, vector: [0.14594326235891586, -0.3775407299900644, -0.3765479013078812, 0.20612075380355122, 0.4902678929632145], color: "orange_7580"},
{id: 4, vector: [0.4548498669607359, -0.887610217681605, 0.5655081329910452, 0.19220509387904117, 0.016513983433433577], color: "red_3314"},
{id: 5, vector: [0.11755001847051827, -0.7295149788999611, 0.2608115847524266, -0.1719167007897875, 0.7417611743754855], color: "black_9955"},
{id: 6, vector: [0.9363032158314308, 0.030699901477745373, 0.8365910312319647, 0.7823840208444011, 0.2625222076909237], color: "yellow_2461"},
{id: 7, vector: [0.0754823906014721, -0.6390658668265143, 0.5610517334334937, -0.8986261118798251, 0.9372056764266794], color: "white_5015"},
{id: 8, vector: [-0.3038434006935904, 0.1279149203380523, 0.503958664270957, -0.2622661156746988, 0.7407627307791929], color: "purple_6414"},
{id: 9, vector: [-0.7125086947677588, -0.8050968321012257, -0.32608864121785786, 0.3255654958645424, 0.26227968923834233], color: "brown_7231"}
]
res = await client.upsert({
collection_name: "quick_setup",
data: data,
})
console.log(res.upsert_cnt)
// Output
//
// 10
//
在分区中插入数据
要向上插入数据到特定分区，可在插入请求中指定分区名称，如下所示：
# 6. Upsert data in partitions
data=[
{"id": 10, "vector": [0.06998888224297328, 0.8582816610326578, -0.9657938677934292, 0.6527905683627726, -0.8668460657158576], "color": "black_3651"},
{"id": 11, "vector": [0.6060703043917468, -0.3765080534566074, -0.7710758854987239, 0.36993888322346136, 0.5507513364206531], "color": "grey_2049"},
{"id": 12, "vector": [-0.9041813104515337, -0.9610546012461163, 0.20033003106083358, 0.11842506351635174, 0.8327356724591011], "color": "blue_6168"},
{"id": 13, "vector": [0.3202914977909075, -0.7279137773695252, -0.04747830871620273, 0.8266053056909548, 0.8277957187455489], "color": "blue_1672"},
{"id": 14, "vector": [0.2975811497890859, 0.2946936202691086, 0.5399463833894609, 0.8385334966677529, -0.4450543984655133], "color": "pink_1601"},
{"id": 15, "vector": [-0.04697464305600074, -0.08509022265734134, 0.9067184632552001, -0.2281912685064822, -0.9747503428652762], "color": "yellow_9925"},
{"id": 16, "vector": [-0.9363075919673911, -0.8153981031085669, 0.7943039120490902, -0.2093886809842529, 0.0771191335807897], "color": "orange_9872"},
{"id": 17, "vector": [-0.050451522820639916, 0.18931572752321935, 0.7522886192190488, -0.9071793089474034, 0.6032647330692296], "color": "red_6450"},
{"id": 18, "vector": [-0.9181544231141592, 0.6700755998126806, -0.014174674636136642, 0.6325780463623432, -0.49662222164032976], "color": "purple_7392"},
{"id": 19, "vector": [0.11426945899602536, 0.6089190684002581, -0.5842735738352236, 0.057050610092692855, -0.035163433018196244], "color": "pink_4996"}
]
res = client.upsert(
collection_name="quick_setup",
data=data,
partition_name="partitionA"
)
print(res)
# Output
#
# {
# "upsert_count": 10
# }
import io.milvus.v2.service.vector.request.UpsertReq;
import io.milvus.v2.service.vector.response.UpsertResp;
// 6. Upsert data in parition
Gson gson = new Gson();
List<JsonObject> data = Arrays.asList(
gson.fromJson("{\"id\": 10, \"vector\": [0.06998888224297328f, 0.8582816610326578f, -0.9657938677934292f, 0.6527905683627726f, -0.8668460657158576f], \"color\": \"black_3651\"}", JsonObject.class),
gson.fromJson("{\"id\": 11, \"vector\": [0.6060703043917468f, -0.3765080534566074f, -0.7710758854987239f, 0.36993888322346136f, 0.5507513364206531f], \"color\": \"grey_2049\"}", JsonObject.class),
gson.fromJson("{\"id\": 12, \"vector\": [-0.9041813104515337f, -0.9610546012461163f, 0.20033003106083358f, 0.11842506351635174f, 0.8327356724591011f], \"color\": \"blue_6168\"}", JsonObject.class),
gson.fromJson("{\"id\": 13, \"vector\": [0.3202914977909075f, -0.7279137773695252f, -0.04747830871620273f, 0.8266053056909548f, 0.8277957187455489f], \"color\": \"blue_1672\"}", JsonObject.class),
gson.fromJson("{\"id\": 14, \"vector\": [0.2975811497890859f, 0.2946936202691086f, 0.5399463833894609f, 0.8385334966677529f, -0.4450543984655133f], \"color\": \"pink_1601\"}", JsonObject.class),
gson.fromJson("{\"id\": 15, \"vector\": [-0.04697464305600074f, -0.08509022265734134f, 0.9067184632552001f, -0.2281912685064822f, -0.9747503428652762f], \"color\": \"yellow_9925\"}", JsonObject.class),
gson.fromJson("{\"id\": 16, \"vector\": [-0.9363075919673911f, -0.8153981031085669f, 0.7943039120490902f, -0.2093886809842529f, 0.0771191335807897f], \"color\": \"orange_9872\"}", JsonObject.class),
gson.fromJson("{\"id\": 17, \"vector\": [-0.050451522820639916f, 0.18931572752321935f, 0.7522886192190488f, -0.9071793089474034f, 0.6032647330692296f], \"color\": \"red_6450\"}", JsonObject.class),
gson.fromJson("{\"id\": 18, \"vector\": [-0.9181544231141592f, 0.6700755998126806f, -0.014174674636136642f, 0.6325780463623432f, -0.49662222164032976f], \"color\": \"purple_7392\"}", JsonObject.class),
gson.fromJson("{\"id\": 19, \"vector\": [0.11426945899602536f, 0.6089190684002581f, -0.5842735738352236f, 0.057050610092692855f, -0.035163433018196244f], \"color\": \"pink_4996\"}", JsonObject.class)
);
UpsertReq upsertReq = UpsertReq.builder()
.collectionName("quick_setup")
.partitionName("partitionA")
.data(data)
.build();
UpsertResp upsertResp = client.upsert(upsertReq);
System.out.println(upsertResp.getUpsertCnt());
// Output:
// 10
// 6. Upsert data in partitions
data = [
{id: 10, vector: [0.06998888224297328, 0.8582816610326578, -0.9657938677934292, 0.6527905683627726, -0.8668460657158576], color: "black_3651"},
{id: 11, vector: [0.6060703043917468, -0.3765080534566074, -0.7710758854987239, 0.36993888322346136, 0.5507513364206531], color: "grey_2049"},
{id: 12, vector: [-0.9041813104515337, -0.9610546012461163, 0.20033003106083358, 0.11842506351635174, 0.8327356724591011], color: "blue_6168"},
{id: 13, vector: [0.3202914977909075, -0.7279137773695252, -0.04747830871620273, 0.8266053056909548, 0.8277957187455489], color: "blue_1672"},
{id: 14, vector: [0.2975811497890859, 0.2946936202691086, 0.5399463833894609, 0.8385334966677529, -0.4450543984655133], color: "pink_1601"},
{id: 15, vector: [-0.04697464305600074, -0.08509022265734134, 0.9067184632552001, -0.2281912685064822, -0.9747503428652762], color: "yellow_9925"},
{id: 16, vector: [-0.9363075919673911, -0.8153981031085669, 0.7943039120490902, -0.2093886809842529, 0.0771191335807897], color: "orange_9872"},
{id: 17, vector: [-0.050451522820639916, 0.18931572752321935, 0.7522886192190488, -0.9071793089474034, 0.6032647330692296], color: "red_6450"},
{id: 18, vector: [-0.9181544231141592, 0.6700755998126806, -0.014174674636136642, 0.6325780463623432, -0.49662222164032976], color: "purple_7392"},
{id: 19, vector: [0.11426945899602536, 0.6089190684002581, -0.5842735738352236, 0.057050610092692855, -0.035163433018196244], color: "pink_4996"}
]
res = await client.upsert({
collection_name: "quick_setup",
data: data,
partition_name: "partitionA"
})
console.log(res.upsert_cnt)
// Output
//
// 10
//
输出结果是一个字典，其中包含受影响实体的统计数据。有关分区操作的详细信息，请参阅管理分区。
删除实体
如果不再需要某个实体，可以通过使用 delete().
如果不再需要某个实体，可以通过使用 delete().
如果不再需要某个实体，可以使用 .NET 命令将其从 Collections 中删除。 delete().
Milvus 提供两种方法让你确定要删除的实体。
通过过滤器删除实体。
使用过滤表达式删除实体时，请确保已加载集合。否则，Milvus 将返回错误信息。
# 7. Delete entities res = client.delete( collection_name="quick_setup", filter="id in [4,5,6]" ) print(res) # Output # # { # "delete_count": 3 # }import io.milvus.v2.service.vector.request.DeleteReq; import io.milvus.v2.service.vector.response.DeleteResp; // 7. Delete entities DeleteReq deleteReq = DeleteReq.builder() .collectionName("quick_setup") .filter("id in [4, 5, 6]") .build(); DeleteResp deleteResp = client.delete(deleteReq); System.out.println(deleteResp.getDeleteCnt()); // Output: // 3// 7. Delete entities res = await client.delete({ collection_name: "quick_setup", filter: "id in [4,5,6]" }) console.log(res.delete_cnt) // Output // // 3 //通过 ID 删除实体
以下代码段演示了如何按 ID 从特定分区删除实体。如果不指定分区名称，该方法也同样有效。
res = client.delete( collection_name="quick_setup", ids=[18, 19], partition_name="partitionA" ) print(res) # Output # # { # "delete_count": 2 # }deleteReq = DeleteReq.builder() .collectionName("quick_setup") .ids(Arrays.asList(18L, 19L)) .partitionName("partitionA") .build(); deleteResp = client.delete(deleteReq); System.out.println(deleteResp.getDeleteCnt()); // Output: // 2res = await client.delete({ collection_name: "quick_setup", ids: [18, 19], partition_name: "partitionA" }) console.log(res.delete_cnt) // Output // // 2 //有关如何使用过滤表达式的详细信息，请参阅获取和标量查询。
按分区名称删除实体
如果想删除特定分区中的实体，可以在
delete()方法中使用partition_name参数指定分区名称。下面的示例删除了partitionA中颜色以blue开头的实体。res = client.delete( collection_name='quick_setup', partition_name='partitionA', filter='color like "blue%"' ) print("Entities deleted from partitionA: ", res['delete_count']) # Output: # Entities deleted from partitionA: 3deleteReq = DeleteReq.builder() .collectionName("quick_setup") .filter('color like "blue%"') .partitionName("partitionA") .build(); deleteResp = client.delete(deleteReq); System.out.println(deleteResp.getDeleteCnt()); // Output: // 3res = await client.delete({ collection_name: "quick_setup", partition_name: "partitionA", filter: 'color like "blue%"' }) console.log("Entities deleted from partitionA: " + res.delete_cnt) // Output: // Entities deleted from partitionA: 3
