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 aderir, 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.
Para os preparativos, utilize MilvusClient para se ligar ao servidor Milvus e create_collection() para criar uma coleção em modo de configuração rápida.
Para os preparativos, utilizar MilvusClientV2 para se ligar ao servidor Milvus e createCollection() para criar uma coleção em modo de instalação rápida.
Para os preparativos, utilizar MilvusClient para se ligar ao servidor Milvus e createCollection() para criar uma coleção em modo de instalação rápida.
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"
});
notas
A coleção gerada no código acima contém apenas dois campos: id (como chave primária) e vector (como campo vetorial), com as definições auto_id e enable_dynamic_field activadas por defeito. Ao inserir dados,
Não é necessário incluir id nos dados a serem inseridos, porque o campo primário aumenta automaticamente à medida que os dados são inseridos.
Os campos não definidos por esquema serão guardados como pares de valores chave num campo JSON reservado chamado $meta.
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.
Para inserir entidades numa coleção, utilize o método insert() método.
Para inserir entidades numa coleção, utilize o método insert() método.
Para inserir entidades numa coleção, utilize o método insert() método.
# 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
//
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
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
//
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.
- As operações Upsert não actualizarão as chaves primárias.
- Se planear utilizar a operação
upsertem vez deinsertpara a ingestão de dados em grande escala (por exemplo, milhões de vectores), tenha em atenção que isto pode levar a um elevado consumo de memória nos nós de dados Milvus.
Para fazer upsert de entidades, utilize o método upsert() método.
Para inserir entidades, utilize o método upsert() método.
Para inserir entidades, utilize o método upsert() método.
# 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
//
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
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
//
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
Se uma entidade não for mais necessária, você pode excluí-la da coleção usando delete().
Se uma entidade não for mais necessária, é possível excluí-la da coleção usando delete().
Se uma entidade já não for necessária, pode eliminá-la da coleção utilizando delete().
O Milvus oferece duas formas de identificar as entidades a eliminar.
Eliminar entidades por filtro.
Ao utilizar expressões de filtro para eliminar entidades, certifique-se de que a coleção foi carregada. Caso contrário, o Milvus devolverá um erro.
# 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 //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.
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 //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_nameno métododelete(). O exemplo a seguir exclui entidades departitionAque têm uma cor começando comblue.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
