Inserção, inserção ascendente e eliminação

Este guia orienta-o nas operações de manipulação de dados numa coleção, incluindo a inserção, a inserção ascendente e a eliminação.

Antes de começar

• Você instalou o SDK de sua escolha. Para instalar um SDK, consulte Instalar SDKs.

• Criou uma coleção. Para criar uma coleção, consulte Gerir colecções.

• Para inserir um grande volume de dados, é aconselhável utilizar a Importação de dados.

Síntese

Uma entidade, no contexto das colecções Milvus, é uma instância singular e identificável dentro de uma coleção. Representa um membro distinto de uma determinada classe, quer se trate de um livro numa biblioteca, de um gene num genoma ou de qualquer outra entidade identificável.

As entidades de uma coleção partilham um conjunto comum de atributos, denominado esquema, que define a estrutura a que cada entidade deve obedecer, incluindo nomes de campos, tipos de dados e quaisquer outras restrições.

A inserção bem sucedida de entidades numa coleção requer que os dados fornecidos contenham todos os campos definidos pelo esquema da coleção de destino. Além disso, também é possível incluir campos não definidos pelo esquema apenas se tiver ativado o campo dinâmico. Para obter detalhes, consulte Ativar campo dinâmico.

Preparações

O trecho de código abaixo reaproveita o código existente para estabelecer uma conexão com um cluster Milvus e configurar rapidamente uma coleção.

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 io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.collection.request.CreateCollectionReq;

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"
});  

Inserir entidades

Para inserir entidades, é necessário organizar os dados numa lista de dicionários, em que cada dicionário representa uma entidade. Cada dicionário contém as chaves correspondentes aos campos pré-definidos e dinâmicos na coleção de destino.

# 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
#     ]
# }

import java.util.Arrays;
import java.util.List;
import java.util.Map;
import io.milvus.v2.service.vector.request.InsertReq;
import io.milvus.v2.service.vector.response.InsertResp;

// 3. Insert some data
List<JSONObject> data = Arrays.asList(
    new JSONObject(Map.of("id", 0L, "vector", Arrays.asList(0.3580376395471989f, -0.6023495712049978f, 0.18414012509913835f, -0.26286205330961354f, 0.9029438446296592f), "color", "pink_8682")),
    new JSONObject(Map.of("id", 1L, "vector", Arrays.asList(0.19886812562848388f, 0.06023560599112088f, 0.6976963061752597f, 0.2614474506242501f, 0.838729485096104f), "color", "red_7025")),
    new JSONObject(Map.of("id", 2L, "vector", Arrays.asList(0.43742130801983836f, -0.5597502546264526f, 0.6457887650909682f, 0.7894058910881185f, 0.20785793220625592f), "color", "orange_6781")),
    new JSONObject(Map.of("id", 3L, "vector", Arrays.asList(0.3172005263489739f, 0.9719044792798428f, -0.36981146090600725f, -0.4860894583077995f, 0.95791889146345f), "color", "pink_9298")),
    new JSONObject(Map.of("id", 4L, "vector", Arrays.asList(0.4452349528804562f, -0.8757026943054742f, 0.8220779437047674f, 0.46406290649483184f, 0.30337481143159106f), "color", "red_4794")),
    new JSONObject(Map.of("id", 5L, "vector", Arrays.asList(0.985825131989184f, -0.8144651566660419f, 0.6299267002202009f, 0.1206906911183383f, -0.1446277761879955f), "color", "yellow_4222")),
    new JSONObject(Map.of("id", 6L, "vector", Arrays.asList(0.8371977790571115f, -0.015764369584852833f, -0.31062937026679327f, -0.562666951622192f, -0.8984947637863987f), "color", "red_9392")),
    new JSONObject(Map.of("id", 7L, "vector", Arrays.asList(-0.33445148015177995f, -0.2567135004164067f, 0.8987539745369246f, 0.9402995886420709f, 0.5378064918413052f), "color", "grey_8510")),
    new JSONObject(Map.of("id", 8L, "vector", Arrays.asList(0.39524717779832685f, 0.4000257286739164f, -0.5890507376891594f, -0.8650502298996872f, -0.6140360785406336f), "color", "white_9381")),
    new JSONObject(Map.of("id", 9L, "vector", Arrays.asList(0.5718280481994695f, 0.24070317428066512f, -0.3737913482606834f, -0.06726932177492717f, -0.6980531615588608f), "color", "purple_4976"))
);

InsertReq insertReq = InsertReq.builder()
    .collectionName("quick_setup")
    .data(data)
    .build();

InsertResp insertResp = client.insert(insertReq);

System.out.println(JSONObject.toJSON(insertResp));

// Output:
// {"insertCnt": 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
// 

Inserir em partições

Para inserir dados numa partição específica, pode especificar o nome da partição no pedido de inserção da seguinte forma:

# 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
data = Arrays.asList(
    new JSONObject(Map.of("id", 10L, "vector", Arrays.asList(-0.5570353903748935f, -0.8997887893201304f, -0.7123782431855732f, -0.6298990746450119f, 0.6699215060604258f), "color", "red_1202")),
    new JSONObject(Map.of("id", 11L, "vector", Arrays.asList(0.6319019033373907f, 0.6821488267878275f, 0.8552303045704168f, 0.36929791364943054f, -0.14152860714878068f), "color", "blue_4150")),
    new JSONObject(Map.of("id", 12L, "vector", Arrays.asList(0.9483947484855766f, -0.32294203351925344f, 0.9759290319978025f, 0.8262982148666174f, -0.8351194181285713f), "color", "orange_4590")),
    new JSONObject(Map.of("id", 13L, "vector", Arrays.asList(-0.5449109892498731f, 0.043511240563786524f, -0.25105249484790804f, -0.012030655265886425f, -0.0010987671273892108f), "color", "pink_9619")),
    new JSONObject(Map.of("id", 14L, "vector", Arrays.asList(0.6603339372951424f, -0.10866551787442225f, -0.9435597754324891f, 0.8230244263466688f, -0.7986720938400362f), "color", "orange_4863")),
    new JSONObject(Map.of("id", 15L, "vector", Arrays.asList(-0.8825129181091456f, -0.9204557711667729f, -0.935350065513425f, 0.5484069690287079f, 0.24448151140671204f), "color", "orange_7984")),
    new JSONObject(Map.of("id", 16L, "vector", Arrays.asList(0.6285586391568163f, 0.5389064528263487f, -0.3163366239905099f, 0.22036279378888013f, 0.15077052220816167f), "color", "blue_9010")),
    new JSONObject(Map.of("id", 17L, "vector", Arrays.asList(-0.20151825016059233f, -0.905239387635804f, 0.6749305353372479f, -0.7324272081377843f, -0.33007998971889263f), "color", "blue_4521")),
    new JSONObject(Map.of("id", 18L, "vector", Arrays.asList(0.2432286610792349f, 0.01785636564206139f, -0.651356982731391f, -0.35848148851027895f, -0.7387383128324057f), "color", "orange_2529")),
    new JSONObject(Map.of("id", 19L, "vector", Arrays.asList(0.055512329053363674f, 0.7100266349039421f, 0.4956956543575197f, 0.24541352586717702f, 0.4209030729923515f), "color", "red_9437"))
);

CreatePartitionReq createPartitionReq = CreatePartitionReq.builder()
    .collectionName("quick_setup")
    .partitionName("partitionA")
    .build();

client.createPartition(createPartitionReq);

insertReq = InsertReq.builder()
    .collectionName("quick_setup")
    .data(data)
    .partitionName("partitionA")
    .build();

insertResp = client.insert(insertReq);

System.out.println(JSONObject.toJSON(insertResp));

// Output:
// {"insertCnt": 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
// 

A saída é um dicionário que contém as estatísticas sobre as entidades afectadas. Para obter detalhes sobre operações de partição, consulte Gerenciar partições.

Upsert entidades

O upserting de dados é uma combinação de operações de atualização e inserção. No Milvus, uma operação de upsert executa uma ação ao nível dos dados para inserir ou atualizar uma entidade com base no facto de a sua chave primária já existir numa coleção. Especificamente:

• Se a chave primária da entidade já existir na coleção, a entidade existente será substituída.

• Se a chave primária não existir na coleção, será inserida uma nova entidade.

# 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
data = Arrays.asList(
    new JSONObject(Map.of("id", 0L, "vector", Arrays.asList(-0.619954382375778f, 0.4479436794798608f, -0.17493894838751745f, -0.4248030059917294f, -0.8648452746018911f), "color", "black_9898")),
    new JSONObject(Map.of("id", 1L, "vector", Arrays.asList(0.4762662251462588f, -0.6942502138717026f, -0.4490002642657902f, -0.628696575798281f, 0.9660395877041965f), "color", "red_7319")),
    new JSONObject(Map.of("id", 2L, "vector", Arrays.asList(-0.8864122635045097f, 0.9260170474445351f, 0.801326976181461f, 0.6383943392381306f, 0.7563037341572827f), "color", "white_6465")),
    new JSONObject(Map.of("id", 3L, "vector", Arrays.asList(0.14594326235891586f, -0.3775407299900644f, -0.3765479013078812f, 0.20612075380355122f, 0.4902678929632145f), "color", "orange_7580")),
    new JSONObject(Map.of("id", 4L, "vector", Arrays.asList(0.4548498669607359f, -0.887610217681605f, 0.5655081329910452f, 0.19220509387904117f, 0.016513983433433577f), "color", "red_3314")),
    new JSONObject(Map.of("id", 5L, "vector", Arrays.asList(0.11755001847051827f, -0.7295149788999611f, 0.2608115847524266f, -0.1719167007897875f, 0.7417611743754855f), "color", "black_9955")),
    new JSONObject(Map.of("id", 6L, "vector", Arrays.asList(0.9363032158314308f, 0.030699901477745373f, 0.8365910312319647f, 0.7823840208444011f, 0.2625222076909237f), "color", "yellow_2461")),
    new JSONObject(Map.of("id", 7L, "vector", Arrays.asList(0.0754823906014721f, -0.6390658668265143f, 0.5610517334334937f, -0.8986261118798251f, 0.9372056764266794f), "color", "white_5015")),
    new JSONObject(Map.of("id", 8L, "vector", Arrays.asList(-0.3038434006935904f, 0.1279149203380523f, 0.503958664270957f, -0.2622661156746988f, 0.7407627307791929f), "color", "purple_6414")),
    new JSONObject(Map.of("id", 9L, "vector", Arrays.asList(-0.7125086947677588f, -0.8050968321012257f, -0.32608864121785786f, 0.3255654958645424f, 0.26227968923834233f), "color", "brown_7231"))
);

UpsertReq upsertReq = UpsertReq.builder()
    .collectionName("quick_setup")
    .data(data)
    .build();

UpsertResp upsertResp = client.upsert(upsertReq);

System.out.println(JSONObject.toJSON(upsertResp));

// Output:
// {"upsertCnt": 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
// 

Inserir dados em partições

Para fazer upsert de dados numa partição específica, pode especificar o nome da partição no pedido de inserção da seguinte forma:

# 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

data = Arrays.asList(
    new JSONObject(Map.of("id", 10L, "vector", Arrays.asList(0.06998888224297328f, 0.8582816610326578f, -0.9657938677934292f, 0.6527905683627726f, -0.8668460657158576f), "color", "black_3651")),
    new JSONObject(Map.of("id", 11L, "vector", Arrays.asList(0.6060703043917468f, -0.3765080534566074f, -0.7710758854987239f, 0.36993888322346136f, 0.5507513364206531f), "color", "grey_2049")),
    new JSONObject(Map.of("id", 12L, "vector", Arrays.asList(-0.9041813104515337f, -0.9610546012461163f, 0.20033003106083358f, 0.11842506351635174f, 0.8327356724591011f), "color", "blue_6168")),
    new JSONObject(Map.of("id", 13L, "vector", Arrays.asList(0.3202914977909075f, -0.7279137773695252f, -0.04747830871620273f, 0.8266053056909548f, 0.8277957187455489f), "color", "blue_1672")),
    new JSONObject(Map.of("id", 14L, "vector", Arrays.asList(0.2975811497890859f, 0.2946936202691086f, 0.5399463833894609f, 0.8385334966677529f, -0.4450543984655133f), "color", "pink_1601")),
    new JSONObject(Map.of("id", 15L, "vector", Arrays.asList(-0.04697464305600074f, -0.08509022265734134f, 0.9067184632552001f, -0.2281912685064822f, -0.9747503428652762f), "color", "yellow_9925")),
    new JSONObject(Map.of("id", 16L, "vector", Arrays.asList(-0.9363075919673911f, -0.8153981031085669f, 0.7943039120490902f, -0.2093886809842529f, 0.0771191335807897f), "color", "orange_9872")),
    new JSONObject(Map.of("id", 17L, "vector", Arrays.asList(-0.050451522820639916f, 0.18931572752321935f, 0.7522886192190488f, -0.9071793089474034f, 0.6032647330692296f), "color", "red_6450")),
    new JSONObject(Map.of("id", 18L, "vector", Arrays.asList(-0.9181544231141592f, 0.6700755998126806f, -0.014174674636136642f, 0.6325780463623432f, -0.49662222164032976f), "color", "purple_7392")),
    new JSONObject(Map.of("id", 19L, "vector", Arrays.asList(0.11426945899602536f, 0.6089190684002581f, -0.5842735738352236f, 0.057050610092692855f, -0.035163433018196244f), "color", "pink_4996"))
);

upsertReq = UpsertReq.builder()
    .collectionName("quick_setup")
    .data(data)
    .partitionName("partitionA")
    .build();

upsertResp = client.upsert(upsertReq);

System.out.println(JSONObject.toJSON(upsertResp));

// Output:
// {"upsertCnt": 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
// 

A saída é um dicionário que contém as estatísticas sobre as entidades afectadas. Para obter detalhes sobre operações de partição, consulte Gerenciar partições.

Excluir entidades

O Milvus oferece duas formas de identificar as entidades a eliminar.

• Eliminar entidades por filtro.

  Quando utilizar expressões de filtro para eliminar entidades, certifique-se de que a coleção foi carregada. Caso contrário, o Milvus devolverá um erro.

  Python JavaNode.js

  # 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(JSONObject.toJSON(deleteResp));
  
  // Output:
  // {"deleteCnt": 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
  // 
  

• Eliminar entidades por IDs.

  Os snippets a seguir demonstram como excluir entidades por IDs de uma partição específica. Também funciona se você deixar o nome da partição não especificado.

  Python JavaNode.js

  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(JSONObject.toJSON(deleteResp));
  
  // Output:
  // {"deleteCnt": 2}
  

  res = await client.delete({
      collection_name: "quick_setup",
      ids: [18, 19],
      partition_name: "partitionA"
  })
  
  console.log(res.delete_cnt)
  
  // Output
  // 
  // 2
  // 
  

  Para obter detalhes sobre como usar expressões de filtro, consulte Obter e consulta escalar.

• Excluir entidades por nome de partição.

  Se você quiser excluir entidades de uma partição específica, poderá especificar o nome da partição com o parâmetro partition_name no método delete(). O exemplo a seguir exclui entidades de partitionA que têm uma cor começando com blue.

  Python JavaNode.js

  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:  3
  

  deleteReq = DeleteReq.builder()
      .collectionName("quick_setup")
      .filter('color like "blue%"')
      .partitionName("partitionA")
      .build();
  
  deleteResp = client.delete(deleteReq);
  
  System.out.println(JSONObject.toJSON(deleteResp));
  
  // Output:
  // {"deleteCnt": 3}
  

  res = 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