快速开始
在本文中，您将了解如何在 Zilliz Cloud 集群中进行“增、删、改、查”的操作。
前提条件
在本文中，我们将使用 Milvus 的 SDK。开始之前，请先确保：
您已在 https://cloud.zilliz.com.cn/signup 注册了 Zilliz Cloud 账号。更多详情，请参见注册账号。
您已安装需要使用的 SDK。当前，有四种 SDK 可供选择，分别是 Python，Java，Go 和 Node.js。更多详情，请参见安装 SDK。
您已下载示例数据集。更多详情，请参见示例数据集。
创建 Collection
如通过 Zilliz Cloud 界面创建集群，您需要在创建集群的同时创建 1 个 Collection。 以下代码展示如何通过调用 API 在您的集群下创建 Collection。
- Python
- NodeJS
- Java
- Bash
from pymilvus import MilvusClient
# Replace uri and API key with your own
client = MilvusClient(
uri=CLUSTER_ENDPOINT, # Cluster endpoint obtained from the console
token=TOKEN # API key or a colon-separated cluster username and password
)
# Create a collection
client.create_collection(
collection_name=COLLECTION_NAME,
dimension=768
)
const fs = require("fs")
const { MilvusClient } = require("@zilliz/milvus2-sdk-node")
const address = "YOUR_CLUSTER_ENDPOINT"
const token = "YOUR_CLUSTER_TOKEN"
const collectionName = "medium_articles_2020"
const data_file = `./medium_articles_2020_dpr.json`
// Include the following in an async function declaration
async function main () {
// Connect to the cluster
const client = new MilvusClient({address, token})
// Create a collection
let res = await client.createCollection({
collection_name: collectionName,
dimension: 768,
});
console.log(res)
// Output
//
// { error_code: 'Success', reason: '', code: 0 }
//
// <Insert the following code snippets here>
}
main()
import java.nio.file.Path;
import java.util.*;
import com.alibaba.fastjson.*;
import io.milvus.client.MilvusServiceClient;
import io.milvus.grpc.DescribeCollectionResponse;
import io.milvus.param.*;
import io.milvus.param.collection.*;
import io.milvus.param.highlevel.collection.*;
import io.milvus.param.highlevel.dml.*;
import io.milvus.param.highlevel.dml.response.*;
import io.milvus.response.DescCollResponseWrapper;
import io.milvus.response.QueryResultsWrapper;
import io.milvus.response.QueryResultsWrapper.RowRecord;
public class QuickStartDemo
{
public static void main( String[] args )
{
String clusterEndpoint = "YOUR_CLUSTER_ENDPOINT";
String token = "YOUR_CLUSTER_TOKEN";
String collectionName = "medium_articles";
String data_file = System.getProperty("user.dir") + "/medium_articles_2020_dpr.json";
// 1. Connect to Zilliz Cloud
ConnectParam connectParam = ConnectParam.newBuilder()
.withUri(clusterEndpoint)
.withToken(token)
.build();
MilvusServiceClient client = new MilvusServiceClient(connectParam);
System.out.println("Connected to Zilliz Cloud!");
// Output:
// Connected to Zilliz Cloud!
// 2. Create collection
CreateSimpleCollectionParam createCollectionParam = CreateSimpleCollectionParam.newBuilder()
.withCollectionName(collectionName)
.withDimension(768)
.build();
R<RpcStatus> createCollection = client.createCollection(createCollectionParam);
if (createCollection.getException() != null) {
System.err.println("Failed to create collection: " + createCollection.getException().getMessage());
return;
}
}
}
# Replace PUBLIC_ENDPOINT and TOKEN with your own
# token="username:password" or token="your-api-key"
curl --location --request POST "${PUBLIC_ENDPOINT}/v1/vector/collections/create" \
--header "Authorization: Bearer ${TOKEN}" \
--header "Content-Type: application/json" \
--header "Accept: */*" \
--data '{
"collectionName": "medium_articles_2020",
"dimension": 768
}'
# Output
# { "code": 200, "data": {} }
上述实例调用高阶接口创建了一个仅包含主键及向量列的 Collection。在该 Collection 中，启用了 autoID 及动态 Schema。如果您需要添加更多的字段或者关闭动态 Schema 功能，可参考创建 Collection 中的步骤。
查看 Collection
您可以通过调用 DescribeCollection API 来查看 Collection 信息。DescribeCollection 返回指定 Collection 详情。
- Python
- NodeJS
- Java
- Bash
res = client.describe_collection(
collection_name=COLLECTION_NAME
)
print(res)
# Output
#
# {
# "collection_name": "medium_articles_2020",
# "auto_id": false,
# "num_shards": 1,
# "description": "",
# "fields": [
# {
# "field_id": 100,
# "name": "id",
# "description": "",
# "type": 5,
# "params": {},
# "is_primary": true
# },
# {
# "field_id": 101,
# "name": "vector",
# "description": "",
# "type": 101,
# "params": {
# "dim": 768
# }
# }
# ],
# "aliases": [],
# "collection_id": 443943328732839733,
# "consistency_level": 2,
# "properties": [],
# "num_partitions": 1,
# "enable_dynamic_field": true
# }
async function main () {
// (Continued)
// Describe the created collection
res = await client.describeCollection({
collection_name: collectionName
});
console.log(res)
// Output
//
// {
// virtual_channel_names: [ 'by-dev-rootcoord-dml_0_445337000187266398v0' ],
// physical_channel_names: [ 'by-dev-rootcoord-dml_0' ],
// aliases: [],
// start_positions: [],
// properties: [],
// status: { error_code: 'Success', reason: '', code: 0 },
// schema: {
// fields: [ [Object], [Object] ],
// name: 'medium_articles_2020',
// description: '',
// autoID: false,
// enable_dynamic_field: true
// },
// collectionID: '445337000187266398',
// created_timestamp: '445337085300965381',
// created_utc_timestamp: '1698826161579',
// shards_num: 1,
// consistency_level: 'Bounded',
// collection_name: 'medium_articles_2020',
// db_name: 'default',
// num_partitions: '1'
// }
//
}
main()
public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// 3. Describe collection
DescribeCollectionParam describeCollectionParam = DescribeCollectionParam.newBuilder()
.withCollectionName(collectionName)
.build();
R<DescribeCollectionResponse> collectionInfo = client.describeCollection(describeCollectionParam);
if (collectionInfo.getException() != null) {
System.err.println("Failed to describe collection: " + collectionInfo.getException().getMessage());
return;
}
DescCollResponseWrapper descCollResponseWrapper = new DescCollResponseWrapper(collectionInfo.getData());
System.out.println(descCollResponseWrapper);
// Output:
// Collection Description{name:'medium_articles', description:'', id:445337000188271120, shardNumber:1, createdUtcTimestamp:1698906291178, aliases:[], fields:[FieldType{name='id', type='Int64', elementType='None', primaryKey=true, partitionKey=false, autoID=false, params={}}, FieldType{name='vector', type='FloatVector', elementType='None', primaryKey=false, partitionKey=false, autoID=false, params={dim=768}}], isDynamicFieldEnabled:true}
}
}
# Replace PUBLIC_ENDPOINT and TOKEN with your own
# Replace TOKEN with your API key
curl --request GET \
--url "${PUBLIC_ENDPOINT}/v1/vector/collections/describe?collectionName=medium_articles_2020" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json'
# Response
#
# {
# "code": 200,
# "data": {
# "collectionName": "medium_articles_2020",
# "shardsNum": 2,
# "description": "",
# "load": "loaded",
# "enableDynamicField": true,
# "fields": [
# {
# "name": "id",
# "type": "int64",
# "primaryKey": true,
# "autoId": true,
# "description": ""
# },
# {
# "name": "vector",
# "type": "floatVector(768)",
# "primaryKey": false,
# "autoId": false,
# "description": ""
# },
# {
# "name": "$meta",
# "type": "JSON",
# "primaryKey": false,
# "autoId": false,
# "description": "dynamic schema"
# }
# ],
# "indexes": [
# {
# "indexName": "vector_idx",
# "fieldName": "vector",
# "metricType": "L2"
# }
# ]
# }
# }
插入数据
在集群中，使用上述方式创建的 Collection 包含 2 个必填字段，id（主键）和 vector（embedding 向量）。Zilliz Cloud 默认为该 Collection 启用动态 Schema。 这意味着，无需修改现有 Schema，您便可将包含未预先定义的字段的 Entity 插入到 Collection 中。
以下示例中，我们使用的数据集包含了 2020 年 1 月至 8 月在 Medium.com 上发布的 5,000 余篇文章。您可以点击此处下载数据集。更多示例数据集详情，请参见 Kaggle 介绍页面。
以下示例展示如何将单个或多个 Entity 插入到 Collection 中。您可以在 Zilliz Cloud 界面上查看插入的 Entity。
插入单个 Entity
- Python
- NodeJS
- Java
- Bash
# Insert a single entity
res = client.insert(
collection_name=COLLECTION_NAME,
data={
'id': 0,
'title': 'The Reported Mortality Rate of Coronavirus Is Not Important',
'link': '<https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912>',
'reading_time': 13,
'publication': 'The Startup',
'claps': 1100,
'responses': 18,
'vector': [0.041732933, 0.013779674, -0.027564144, -0.013061441, 0.009748648, 0.00082446384, -0.00071647146, 0.048612226, -0.04836573, -0.04567751, 0.018008126, 0.0063936645, -0.011913628, 0.030776596, -0.018274948, 0.019929802, 0.020547243, 0.032735646, -0.031652678, -0.033816382, -0.051087562, -0.033748355, 0.0039493158, 0.009246126, -0.060236514, -0.017136049, 0.028754413, -0.008433934, 0.011168004, -0.012391256, -0.011225835, 0.031775184, 0.002929508, -0.007448661, -0.005337719, -0.010999258, -0.01515909, -0.005130484, 0.0060212007, 0.0034560722, -0.022935811, -0.04970116, -0.0155887455, 0.06627353, -0.006052789, -0.051570725, -0.109865054, 0.033205193, 0.00041118253, 0.0029823708, 0.036160238, -0.011256539, 0.00023560718, 0.058322437, 0.022275906, 0.015206677, -0.02884609, 0.0016338055, 0.0049200393, 0.014388571, -0.0049061654, -0.04664761, -0.027454877, 0.017526226, -0.005100602, 0.018090058, 0.02700998, 0.04031944, -0.0097965, -0.03674761, -0.0043163053, -0.023320708, 0.012654851, -0.014262311, -0.008081833, -0.018334744, 0.0014025003, -0.003053399, -0.002636383, -0.022398386, -0.004725274, 0.00036367847, -0.012368711, 0.0014739085, 0.03450414, 0.009684024, 0.017912658, 0.06594397, 0.021381201, 0.029343689, -0.0069561847, 0.026152428, 0.04635037, 0.014746184, -0.002119602, 0.034359712, -0.013705124, 0.010691518, 0.04060854, 0.013679299, -0.018990282, 0.035340093, 0.007353945, -0.035990074, 0.013126987, -0.032933377, -0.001756877, -0.0049658176, -0.03380879, -0.07024137, -0.0130426735, 0.010533265, -0.023091802, -0.004645729, -0.03344451, 0.04759929, 0.025985204, -0.040710885, -0.016681142, -0.024664842, -0.025170377, 0.08839205, -0.023733815, 0.019494494, 0.0055427826, 0.045460507, 0.07066554, 0.022181382, 0.018302314, 0.026806992, -0.006066003, 0.046525814, -0.04066389, 0.019001767, 0.021242762, -0.020784091, -0.031635042, 0.04573943, 0.02515421, -0.050663553, -0.05183343, -0.046468202, -0.07910535, 0.017036669, 0.021445233, 0.04277428, -0.020235524, -0.055314954, 0.00904601, -0.01104365, 0.03069203, -0.00821997, -0.035594665, 0.024322856, -0.0068963314, 0.009003657, 0.00398102, -0.008596356, 0.014772055, 0.02740991, 0.025503553, 0.0038213644, -0.0047855405, -0.034888722, 0.030553816, -0.008325959, 0.030010607, 0.023729775, 0.016138833, -0.022967983, -0.08616877, -0.02460819, -0.008210168, -0.06444098, 0.018750126, -0.03335763, 0.022024624, 0.032374356, 0.023870794, 0.021288997, -0.026617877, 0.020435361, -0.003692393, -0.024113296, 0.044870164, -0.030451361, 0.013022849, 0.002278627, -0.027616743, -0.012087787, -0.033232547, -0.022974484, 0.02801226, -0.029057292, 0.060317725, -0.02312559, 0.015558754, 0.073630534, 0.02490823, -0.0140531305, -0.043771528, 0.040756326, 0.01667925, -0.0046050115, -0.08938058, 0.10560781, 0.015044094, 0.003613817, 0.013523503, -0.011039813, 0.06396795, 0.013428416, -0.025031878, -0.014972648, -0.015970055, 0.037022553, -0.013759925, 0.013363354, 0.0039748577, -0.0040822625, 0.018209668, -0.057496265, 0.034993384, 0.07075411, 0.023498386, 0.085871644, 0.028646072, 0.007590898, 0.07037031, -0.05005178, 0.010477505, -0.014106617, 0.013402172, 0.007472563, -0.03131418, 0.020552127, -0.031878896, -0.04170217, -0.03153583, 0.03458349, 0.03366634, 0.021306382, -0.037176874, 0.029069472, 0.014662372, 0.0024123765, -0.025403008, -0.0372993, -0.049923114, -0.014209514, -0.015524425, 0.036377322, 0.04259327, -0.029715618, 0.02657093, -0.0062432447, -0.0024253451, -0.021287171, 0.010478781, -0.029322306, -0.021203341, 0.047209084, 0.025337176, 0.018471811, -0.008709492, -0.047414266, -0.06227469, -0.05713435, 0.02141101, 0.024481304, 0.07176469, 0.0211379, -0.049316987, -0.124073654, 0.0049275495, -0.02461509, -0.02738388, 0.04825289, -0.05069646, 0.012640115, -0.0061352802, 0.034599125, 0.02799496, -0.01511028, -0.046418104, 0.011309801, 0.016673129, -0.033531003, -0.049203333, -0.027218347, -0.03528408, 0.008881575, 0.010736325, 0.034232814, 0.012807507, -0.0100207105, 0.0067757815, 0.009538357, 0.026212366, -0.036120333, -0.019764563, 0.006527411, -0.016437015, -0.009759148, -0.042246807, 0.012492151, 0.0066206953, 0.010672299, -0.44499892, -0.036189068, -0.015703931, -0.031111298, -0.020329623, 0.0047888453, 0.090396516, -0.041484866, 0.033830352, -0.0033847596, 0.06065415, 0.030880837, 0.05558494, 0.022805553, 0.009607596, 0.006682602, 0.036806617, 0.02406229, 0.034229457, -0.0105605405, 0.034754273, 0.02436426, -0.03849325, 0.021132406, -0.01251386, 0.022090863, -0.029137045, 0.0064384523, -0.03175176, -0.0070441505, 0.016025176, -0.023172623, 0.00076795724, -0.024106828, -0.045440633, -0.0074440194, 0.00035374766, 0.024374487, 0.0058897804, -0.012461025, -0.029086761, 0.0029477053, -0.022914894, -0.032369837, 0.020743662, 0.024116345, 0.0020526652, 0.0008596536, -0.000583463, 0.061080184, 0.020812698, -0.0235381, 0.08112197, 0.05689626, -0.003070104, -0.010714772, -0.004864459, 0.027089117, -0.030910335, 0.0017404438, -0.014978656, 0.0127020255, 0.01878998, -0.051732827, -0.0037475713, 0.013033434, -0.023682894, -0.03219574, 0.03736345, 0.0058930484, -0.054040316, 0.047637977, 0.012636436, -0.05820182, 0.013828813, -0.057893142, -0.012405234, 0.030266648, -0.0029184038, -0.021839319, -0.045179468, -0.013123978, -0.021320488, 0.0015718226, 0.020244086, -0.014414709, 0.009535103, -0.004497577, -0.02577227, -0.0085017495, 0.029090486, 0.009356506, 0.0055838437, 0.021151636, 0.039531752, 0.07814674, 0.043186333, -0.0077368533, 0.028967595, 0.025058193, 0.05432941, -0.04383656, -0.027070394, -0.080263995, -0.03616516, -0.026129462, -0.0033627374, 0.035040155, 0.015231506, -0.06372076, 0.046391208, 0.0049725454, 0.003783345, -0.057800908, 0.061461, -0.017880175, 0.022820404, 0.048944063, 0.04725843, -0.013392871, 0.05023065, 0.0069421427, -0.019561166, 0.012953843, 0.06227977, -0.02114757, -0.003334329, 0.023241237, -0.061053444, -0.023145229, 0.016086273, 0.0774039, 0.008069459, -0.0013532874, -0.016790181, -0.027246375, -0.03254919, 0.033754334, 0.00037142826, -0.02387325, 0.0057056695, 0.0084914565, -0.051856343, 0.029254, 0.005583839, 0.011591886, -0.033027634, -0.004170374, 0.018334484, -0.0030969654, 0.0024489106, 0.0030196267, 0.023012564, 0.020529047, 0.00010772953, 0.0017700809, 0.029260442, -0.018829526, -0.024797931, -0.039499596, 0.008108761, -0.013099816, -0.11726566, -0.005652353, -0.008117937, -0.012961832, 0.0152542135, -0.06429504, 0.0184562, 0.058997117, -0.027178442, -0.019294549, -0.01587592, 0.0048053437, 0.043830805, 0.011232237, -0.026841154, -0.0007282251, -0.00862919, -0.008405325, 0.019370917, -0.008112641, -0.014931766, 0.065622255, 0.0149185015, 0.013089685, -0.0028022556, -0.028629888, -0.048105706, 0.009296162, 0.010251239, 0.030800395, 0.028263845, -0.011021621, -0.034127586, 0.014709971, -0.0075270324, 0.010737263, 0.020517904, -0.012932179, 0.007153817, 0.03736311, -0.03391106, 0.03028614, 0.012531187, -0.046059456, -0.0043963846, 0.028799629, -0.06663413, -0.009447025, -0.019833198, -0.036111858, -0.01901045, 0.040701825, 0.0060573653, 0.027482377, -0.019782187, -0.020186251, 0.028398912, 0.027108852, 0.026535714, -0.000995191, -0.020599326, -0.005658084, -0.017271476, 0.026300041, -0.006992451, -0.08593853, 0.03675959, 0.0029454317, -0.040927384, -0.035480253, 0.016498009, -0.03406521, -0.026182177, -0.0007024827, 0.019500641, 0.0047998386, -0.02416359, 0.0019833131, 0.0033488963, 0.037788488, -0.009154958, -0.043469638, -0.024896, -0.017234193, 0.044996973, -0.06303135, -0.051730774, 0.04041444, 0.0075959326, -0.03901764, -0.019851806, -0.008242245, 0.06107143, 0.030118924, -0.016167669, -0.028161867, -0.0025679746, -0.021713274, 0.025275888, -0.012819265, -0.036431268, 0.017991759, 0.040626206, -0.0036572467, -0.0005935883, -0.0037468506, 0.034460746, -0.0182785, -0.00431203, -0.044755403, 0.016463224, 0.041199315, -0.0093387, 0.03919184, -0.01151653, -0.016965209, 0.006347649, 0.021104146, 0.060276803, -0.026659148, 0.026461488, -0.032700688, 0.0012274865, -0.024675943, -0.003006079, -0.009607032, 0.010597691, 0.0043017124, -0.01908524, 0.006748306, -0.03049305, -0.017481703, 0.036747415, 0.036634356, 0.0007106319, 0.045647435, -0.020883067, -0.0593661, -0.03929885, 0.042825453, 0.016104022, -0.03222858, 0.031112716, 0.020407677, -0.013276762, 0.03657825, -0.033871554, 0.004176301, 0.009538976, -0.009995692, 0.0042660628, 0.050545394, -0.018142857, 0.005219403, 0.0006711967, -0.014264284, 0.031044828, -0.01827481, 0.012488852, 0.031393733, 0.050390214, -0.014484084, -0.054758117, 0.055042055, -0.005506624, -0.0066648237, 0.010891078, 0.012446279, 0.061687976, 0.018091502, 0.0026527622, 0.0321537, -0.02469515, 0.01772019, 0.006846163, -0.07471038, -0.024433741, 0.02483875, 0.0497063, 0.0043456135, 0.056550737, 0.035752796, -0.02430349, 0.036570627, -0.027576203, -0.012418993, 0.023442797, -0.03433812, 0.01953399, -0.028003592, -0.021168072, 0.019414881, -0.014712576, -0.0003938545, 0.021453558, -0.023197332, -0.004455581, -0.08799191, 0.0010808896, 0.009281116, -0.0051161298, 0.031497046, 0.034916095, -0.023042161, 0.030799815, 0.017298799, 0.0015253434, 0.013728047, 0.0035838438, 0.016767647, -0.022243451, 0.013371096, 0.053564783, -0.008776885, -0.013133307, 0.015577713, -0.027008705, 0.009490815, -0.04103532, -0.012426461, -0.0050485474, -0.04323231, -0.013291623, -0.01660157, -0.055480026, 0.017622838, 0.017476618, -0.009798125, 0.038226977, -0.03127579, 0.019329516, 0.033461004, -0.0039813113, -0.039526325, 0.03884973, -0.011381027, -0.023257744, 0.03033401, 0.0029607012, -0.0006490531, -0.0347344, 0.029701462, -0.04153701, 0.028073426, -0.025427297, 0.009756264, -0.048082624, 0.021743972, 0.057197016, 0.024082556, -0.013968224, 0.044379756, -0.029081704, 0.003487999, 0.042621125, -0.04339743, -0.027005397, -0.02944044, -0.024172144, -0.07388652, 0.05952364, 0.02561452, -0.010255158, -0.015288555, 0.045012463, 0.012403602, -0.021197597, 0.025847573, -0.016983166, 0.03021369, -0.02920852, 0.035140667, -0.010627725, -0.020431923, 0.03191218, 0.0046844087, 0.056356475, -0.00012615003, -0.0052536936, -0.058609407, 0.009710908, 0.00041168949, -0.22300485, -0.0077232462, 0.0029359192, -0.028645728, -0.021156758, 0.029606635, -0.026473567, -0.0019432966, 0.023867624, 0.021946864, -0.00082128344, 0.01897284, -0.017976845, -0.015677344, -0.0026336901, 0.030096486]
}
)
print(res)
# Output
#
# [0]
async function main () {
// (continued)
// Insert a record
res = await client.insert({
collection_name: collectionName,
data: [{
'id': 0,
'title': 'The Reported Mortality Rate of Coronavirus Is Not Important',
'link': '<https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912>',
'reading_time': 13,
'publication': 'The Startup',
'claps': 1100,
'responses': 18,
'vector': [0.041732933, 0.013779674, -0.027564144, -0.013061441, 0.009748648, 0.00082446384, -0.00071647146, 0.048612226, -0.04836573, -0.04567751, 0.018008126, 0.0063936645, -0.011913628, 0.030776596, -0.018274948, 0.019929802, 0.020547243, 0.032735646, -0.031652678, -0.033816382, -0.051087562, -0.033748355, 0.0039493158, 0.009246126, -0.060236514, -0.017136049, 0.028754413, -0.008433934, 0.011168004, -0.012391256, -0.011225835, 0.031775184, 0.002929508, -0.007448661, -0.005337719, -0.010999258, -0.01515909, -0.005130484, 0.0060212007, 0.0034560722, -0.022935811, -0.04970116, -0.0155887455, 0.06627353, -0.006052789, -0.051570725, -0.109865054, 0.033205193, 0.00041118253, 0.0029823708, 0.036160238, -0.011256539, 0.00023560718, 0.058322437, 0.022275906, 0.015206677, -0.02884609, 0.0016338055, 0.0049200393, 0.014388571, -0.0049061654, -0.04664761, -0.027454877, 0.017526226, -0.005100602, 0.018090058, 0.02700998, 0.04031944, -0.0097965, -0.03674761, -0.0043163053, -0.023320708, 0.012654851, -0.014262311, -0.008081833, -0.018334744, 0.0014025003, -0.003053399, -0.002636383, -0.022398386, -0.004725274, 0.00036367847, -0.012368711, 0.0014739085, 0.03450414, 0.009684024, 0.017912658, 0.06594397, 0.021381201, 0.029343689, -0.0069561847, 0.026152428, 0.04635037, 0.014746184, -0.002119602, 0.034359712, -0.013705124, 0.010691518, 0.04060854, 0.013679299, -0.018990282, 0.035340093, 0.007353945, -0.035990074, 0.013126987, -0.032933377, -0.001756877, -0.0049658176, -0.03380879, -0.07024137, -0.0130426735, 0.010533265, -0.023091802, -0.004645729, -0.03344451, 0.04759929, 0.025985204, -0.040710885, -0.016681142, -0.024664842, -0.025170377, 0.08839205, -0.023733815, 0.019494494, 0.0055427826, 0.045460507, 0.07066554, 0.022181382, 0.018302314, 0.026806992, -0.006066003, 0.046525814, -0.04066389, 0.019001767, 0.021242762, -0.020784091, -0.031635042, 0.04573943, 0.02515421, -0.050663553, -0.05183343, -0.046468202, -0.07910535, 0.017036669, 0.021445233, 0.04277428, -0.020235524, -0.055314954, 0.00904601, -0.01104365, 0.03069203, -0.00821997, -0.035594665, 0.024322856, -0.0068963314, 0.009003657, 0.00398102, -0.008596356, 0.014772055, 0.02740991, 0.025503553, 0.0038213644, -0.0047855405, -0.034888722, 0.030553816, -0.008325959, 0.030010607, 0.023729775, 0.016138833, -0.022967983, -0.08616877, -0.02460819, -0.008210168, -0.06444098, 0.018750126, -0.03335763, 0.022024624, 0.032374356, 0.023870794, 0.021288997, -0.026617877, 0.020435361, -0.003692393, -0.024113296, 0.044870164, -0.030451361, 0.013022849, 0.002278627, -0.027616743, -0.012087787, -0.033232547, -0.022974484, 0.02801226, -0.029057292, 0.060317725, -0.02312559, 0.015558754, 0.073630534, 0.02490823, -0.0140531305, -0.043771528, 0.040756326, 0.01667925, -0.0046050115, -0.08938058, 0.10560781, 0.015044094, 0.003613817, 0.013523503, -0.011039813, 0.06396795, 0.013428416, -0.025031878, -0.014972648, -0.015970055, 0.037022553, -0.013759925, 0.013363354, 0.0039748577, -0.0040822625, 0.018209668, -0.057496265, 0.034993384, 0.07075411, 0.023498386, 0.085871644, 0.028646072, 0.007590898, 0.07037031, -0.05005178, 0.010477505, -0.014106617, 0.013402172, 0.007472563, -0.03131418, 0.020552127, -0.031878896, -0.04170217, -0.03153583, 0.03458349, 0.03366634, 0.021306382, -0.037176874, 0.029069472, 0.014662372, 0.0024123765, -0.025403008, -0.0372993, -0.049923114, -0.014209514, -0.015524425, 0.036377322, 0.04259327, -0.029715618, 0.02657093, -0.0062432447, -0.0024253451, -0.021287171, 0.010478781, -0.029322306, -0.021203341, 0.047209084, 0.025337176, 0.018471811, -0.008709492, -0.047414266, -0.06227469, -0.05713435, 0.02141101, 0.024481304, 0.07176469, 0.0211379, -0.049316987, -0.124073654, 0.0049275495, -0.02461509, -0.02738388, 0.04825289, -0.05069646, 0.012640115, -0.0061352802, 0.034599125, 0.02799496, -0.01511028, -0.046418104, 0.011309801, 0.016673129, -0.033531003, -0.049203333, -0.027218347, -0.03528408, 0.008881575, 0.010736325, 0.034232814, 0.012807507, -0.0100207105, 0.0067757815, 0.009538357, 0.026212366, -0.036120333, -0.019764563, 0.006527411, -0.016437015, -0.009759148, -0.042246807, 0.012492151, 0.0066206953, 0.010672299, -0.44499892, -0.036189068, -0.015703931, -0.031111298, -0.020329623, 0.0047888453, 0.090396516, -0.041484866, 0.033830352, -0.0033847596, 0.06065415, 0.030880837, 0.05558494, 0.022805553, 0.009607596, 0.006682602, 0.036806617, 0.02406229, 0.034229457, -0.0105605405, 0.034754273, 0.02436426, -0.03849325, 0.021132406, -0.01251386, 0.022090863, -0.029137045, 0.0064384523, -0.03175176, -0.0070441505, 0.016025176, -0.023172623, 0.00076795724, -0.024106828, -0.045440633, -0.0074440194, 0.00035374766, 0.024374487, 0.0058897804, -0.012461025, -0.029086761, 0.0029477053, -0.022914894, -0.032369837, 0.020743662, 0.024116345, 0.0020526652, 0.0008596536, -0.000583463, 0.061080184, 0.020812698, -0.0235381, 0.08112197, 0.05689626, -0.003070104, -0.010714772, -0.004864459, 0.027089117, -0.030910335, 0.0017404438, -0.014978656, 0.0127020255, 0.01878998, -0.051732827, -0.0037475713, 0.013033434, -0.023682894, -0.03219574, 0.03736345, 0.0058930484, -0.054040316, 0.047637977, 0.012636436, -0.05820182, 0.013828813, -0.057893142, -0.012405234, 0.030266648, -0.0029184038, -0.021839319, -0.045179468, -0.013123978, -0.021320488, 0.0015718226, 0.020244086, -0.014414709, 0.009535103, -0.004497577, -0.02577227, -0.0085017495, 0.029090486, 0.009356506, 0.0055838437, 0.021151636, 0.039531752, 0.07814674, 0.043186333, -0.0077368533, 0.028967595, 0.025058193, 0.05432941, -0.04383656, -0.027070394, -0.080263995, -0.03616516, -0.026129462, -0.0033627374, 0.035040155, 0.015231506, -0.06372076, 0.046391208, 0.0049725454, 0.003783345, -0.057800908, 0.061461, -0.017880175, 0.022820404, 0.048944063, 0.04725843, -0.013392871, 0.05023065, 0.0069421427, -0.019561166, 0.012953843, 0.06227977, -0.02114757, -0.003334329, 0.023241237, -0.061053444, -0.023145229, 0.016086273, 0.0774039, 0.008069459, -0.0013532874, -0.016790181, -0.027246375, -0.03254919, 0.033754334, 0.00037142826, -0.02387325, 0.0057056695, 0.0084914565, -0.051856343, 0.029254, 0.005583839, 0.011591886, -0.033027634, -0.004170374, 0.018334484, -0.0030969654, 0.0024489106, 0.0030196267, 0.023012564, 0.020529047, 0.00010772953, 0.0017700809, 0.029260442, -0.018829526, -0.024797931, -0.039499596, 0.008108761, -0.013099816, -0.11726566, -0.005652353, -0.008117937, -0.012961832, 0.0152542135, -0.06429504, 0.0184562, 0.058997117, -0.027178442, -0.019294549, -0.01587592, 0.0048053437, 0.043830805, 0.011232237, -0.026841154, -0.0007282251, -0.00862919, -0.008405325, 0.019370917, -0.008112641, -0.014931766, 0.065622255, 0.0149185015, 0.013089685, -0.0028022556, -0.028629888, -0.048105706, 0.009296162, 0.010251239, 0.030800395, 0.028263845, -0.011021621, -0.034127586, 0.014709971, -0.0075270324, 0.010737263, 0.020517904, -0.012932179, 0.007153817, 0.03736311, -0.03391106, 0.03028614, 0.012531187, -0.046059456, -0.0043963846, 0.028799629, -0.06663413, -0.009447025, -0.019833198, -0.036111858, -0.01901045, 0.040701825, 0.0060573653, 0.027482377, -0.019782187, -0.020186251, 0.028398912, 0.027108852, 0.026535714, -0.000995191, -0.020599326, -0.005658084, -0.017271476, 0.026300041, -0.006992451, -0.08593853, 0.03675959, 0.0029454317, -0.040927384, -0.035480253, 0.016498009, -0.03406521, -0.026182177, -0.0007024827, 0.019500641, 0.0047998386, -0.02416359, 0.0019833131, 0.0033488963, 0.037788488, -0.009154958, -0.043469638, -0.024896, -0.017234193, 0.044996973, -0.06303135, -0.051730774, 0.04041444, 0.0075959326, -0.03901764, -0.019851806, -0.008242245, 0.06107143, 0.030118924, -0.016167669, -0.028161867, -0.0025679746, -0.021713274, 0.025275888, -0.012819265, -0.036431268, 0.017991759, 0.040626206, -0.0036572467, -0.0005935883, -0.0037468506, 0.034460746, -0.0182785, -0.00431203, -0.044755403, 0.016463224, 0.041199315, -0.0093387, 0.03919184, -0.01151653, -0.016965209, 0.006347649, 0.021104146, 0.060276803, -0.026659148, 0.026461488, -0.032700688, 0.0012274865, -0.024675943, -0.003006079, -0.009607032, 0.010597691, 0.0043017124, -0.01908524, 0.006748306, -0.03049305, -0.017481703, 0.036747415, 0.036634356, 0.0007106319, 0.045647435, -0.020883067, -0.0593661, -0.03929885, 0.042825453, 0.016104022, -0.03222858, 0.031112716, 0.020407677, -0.013276762, 0.03657825, -0.033871554, 0.004176301, 0.009538976, -0.009995692, 0.0042660628, 0.050545394, -0.018142857, 0.005219403, 0.0006711967, -0.014264284, 0.031044828, -0.01827481, 0.012488852, 0.031393733, 0.050390214, -0.014484084, -0.054758117, 0.055042055, -0.005506624, -0.0066648237, 0.010891078, 0.012446279, 0.061687976, 0.018091502, 0.0026527622, 0.0321537, -0.02469515, 0.01772019, 0.006846163, -0.07471038, -0.024433741, 0.02483875, 0.0497063, 0.0043456135, 0.056550737, 0.035752796, -0.02430349, 0.036570627, -0.027576203, -0.012418993, 0.023442797, -0.03433812, 0.01953399, -0.028003592, -0.021168072, 0.019414881, -0.014712576, -0.0003938545, 0.021453558, -0.023197332, -0.004455581, -0.08799191, 0.0010808896, 0.009281116, -0.0051161298, 0.031497046, 0.034916095, -0.023042161, 0.030799815, 0.017298799, 0.0015253434, 0.013728047, 0.0035838438, 0.016767647, -0.022243451, 0.013371096, 0.053564783, -0.008776885, -0.013133307, 0.015577713, -0.027008705, 0.009490815, -0.04103532, -0.012426461, -0.0050485474, -0.04323231, -0.013291623, -0.01660157, -0.055480026, 0.017622838, 0.017476618, -0.009798125, 0.038226977, -0.03127579, 0.019329516, 0.033461004, -0.0039813113, -0.039526325, 0.03884973, -0.011381027, -0.023257744, 0.03033401, 0.0029607012, -0.0006490531, -0.0347344, 0.029701462, -0.04153701, 0.028073426, -0.025427297, 0.009756264, -0.048082624, 0.021743972, 0.057197016, 0.024082556, -0.013968224, 0.044379756, -0.029081704, 0.003487999, 0.042621125, -0.04339743, -0.027005397, -0.02944044, -0.024172144, -0.07388652, 0.05952364, 0.02561452, -0.010255158, -0.015288555, 0.045012463, 0.012403602, -0.021197597, 0.025847573, -0.016983166, 0.03021369, -0.02920852, 0.035140667, -0.010627725, -0.020431923, 0.03191218, 0.0046844087, 0.056356475, -0.00012615003, -0.0052536936, -0.058609407, 0.009710908, 0.00041168949, -0.22300485, -0.0077232462, 0.0029359192, -0.028645728, -0.021156758, 0.029606635, -0.026473567, -0.0019432966, 0.023867624, 0.021946864, -0.00082128344, 0.01897284, -0.017976845, -0.015677344, -0.0026336901, 0.030096486]
}]
});
console.log(res)
// Output
//
// {
// succ_index: [ 0 ],
// err_index: [],
// status: { error_code: 'Success', reason: '', code: 0 },
// IDs: { int_id: { data: [Array] }, id_field: 'int_id' },
// acknowledged: false,
// insert_cnt: '1',
// delete_cnt: '0',
// upsert_cnt: '0',
// timestamp: '445337086401708038'
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// 4. Insert entities
String content;
Path file = Path.of(data_file);
try {
content = Files.readString(file);
} catch (Exception e) {
System.err.println("Failed to read file: " + e.getMessage());
return;
}
System.out.println("Successfully read file");
// Output:
// Successfully read file
// Load dataset
JSONObject dataset = JSON.parseObject(content);
// Change the counts argument to limit the rows.
List<JSONObject> rows = getRows(dataset.getJSONArray("rows"), 1);
// Pretty print the first row
System.out.println(rows.get(0));
// Output:
// {"id":0,"link":"https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912","publication":"The Startup","reading_time":13,"claps":1100,"responses":18,"title":"The Reported Mortality Rate of Coronavirus Is Not Important","vector":[0.041732933,0.013779674,-0.027564144,-0.013061441,0.009748648,8.2446384E-4,-7.1647146E-4,0.048612226,-0.04836573,-0.04567751,0.018008126,0.0063936645,-0.011913628,0.030776596,-0.018274948,0.019929802,0.020547243,0.032735646,-0.031652678,-0.033816382,-0.051087562,-0.033748355,0.0039493158,0.009246126,-0.060236514,-0.017136049,0.028754413,-0.008433934,0.011168004,-0.012391256,-0.011225835,0.031775184,0.002929508,-0.007448661,-0.005337719,-0.010999258,-0.01515909,-0.005130484,0.0060212007,0.0034560722,-0.022935811,-0.04970116,-0.0155887455,0.06627353,-0.006052789,-0.051570725,-0.109865054,0.033205193,4.1118253E-4,0.0029823708,0.036160238,-0.011256539,2.3560718E-4,0.058322437,0.022275906,0.015206677,-0.02884609,0.0016338055,0.0049200393,0.014388571,-0.0049061654,-0.04664761,-0.027454877,0.017526226,-0.005100602,0.018090058,0.02700998,0.04031944,-0.0097965,-0.03674761,-0.0043163053,-0.023320708,0.012654851,-0.014262311,-0.008081833,-0.018334744,0.0014025003,-0.003053399,-0.002636383,-0.022398386,-0.004725274,3.6367847E-4,-0.012368711,0.0014739085,0.03450414,0.009684024,0.017912658,0.06594397,0.021381201,0.029343689,-0.0069561847,0.026152428,0.04635037,0.014746184,-0.002119602,0.034359712,-0.013705124,0.010691518,0.04060854,0.013679299,-0.018990282,0.035340093,0.007353945,-0.035990074,0.013126987,-0.032933377,-0.001756877,-0.0049658176,-0.03380879,-0.07024137,-0.0130426735,0.010533265,-0.023091802,-0.004645729,-0.03344451,0.04759929,0.025985204,-0.040710885,-0.016681142,-0.024664842,-0.025170377,0.08839205,-0.023733815,0.019494494,0.0055427826,0.045460507,0.07066554,0.022181382,0.018302314,0.026806992,-0.006066003,0.046525814,-0.04066389,0.019001767,0.021242762,-0.020784091,-0.031635042,0.04573943,0.02515421,-0.050663553,-0.05183343,-0.046468202,-0.07910535,0.017036669,0.021445233,0.04277428,-0.020235524,-0.055314954,0.00904601,-0.01104365,0.03069203,-0.00821997,-0.035594665,0.024322856,-0.0068963314,0.009003657,0.00398102,-0.008596356,0.014772055,0.02740991,0.025503553,0.0038213644,-0.0047855405,-0.034888722,0.030553816,-0.008325959,0.030010607,0.023729775,0.016138833,-0.022967983,-0.08616877,-0.02460819,-0.008210168,-0.06444098,0.018750126,-0.03335763,0.022024624,0.032374356,0.023870794,0.021288997,-0.026617877,0.020435361,-0.003692393,-0.024113296,0.044870164,-0.030451361,0.013022849,0.002278627,-0.027616743,-0.012087787,-0.033232547,-0.022974484,0.02801226,-0.029057292,0.060317725,-0.02312559,0.015558754,0.073630534,0.02490823,-0.0140531305,-0.043771528,0.040756326,0.01667925,-0.0046050115,-0.08938058,0.10560781,0.015044094,0.003613817,0.013523503,-0.011039813,0.06396795,0.013428416,-0.025031878,-0.014972648,-0.015970055,0.037022553,-0.013759925,0.013363354,0.0039748577,-0.0040822625,0.018209668,-0.057496265,0.034993384,0.07075411,0.023498386,0.085871644,0.028646072,0.007590898,0.07037031,-0.05005178,0.010477505,-0.014106617,0.013402172,0.007472563,-0.03131418,0.020552127,-0.031878896,-0.04170217,-0.03153583,0.03458349,0.03366634,0.021306382,-0.037176874,0.029069472,0.014662372,0.0024123765,-0.025403008,-0.0372993,-0.049923114,-0.014209514,-0.015524425,0.036377322,0.04259327,-0.029715618,0.02657093,-0.0062432447,-0.0024253451,-0.021287171,0.010478781,-0.029322306,-0.021203341,0.047209084,0.025337176,0.018471811,-0.008709492,-0.047414266,-0.06227469,-0.05713435,0.02141101,0.024481304,0.07176469,0.0211379,-0.049316987,-0.124073654,0.0049275495,-0.02461509,-0.02738388,0.04825289,-0.05069646,0.012640115,-0.0061352802,0.034599125,0.02799496,-0.01511028,-0.046418104,0.011309801,0.016673129,-0.033531003,-0.049203333,-0.027218347,-0.03528408,0.008881575,0.010736325,0.034232814,0.012807507,-0.0100207105,0.0067757815,0.009538357,0.026212366,-0.036120333,-0.019764563,0.006527411,-0.016437015,-0.009759148,-0.042246807,0.012492151,0.0066206953,0.010672299,-0.44499892,-0.036189068,-0.015703931,-0.031111298,-0.020329623,0.0047888453,0.090396516,-0.041484866,0.033830352,-0.0033847596,0.06065415,0.030880837,0.05558494,0.022805553,0.009607596,0.006682602,0.036806617,0.02406229,0.034229457,-0.0105605405,0.034754273,0.02436426,-0.03849325,0.021132406,-0.01251386,0.022090863,-0.029137045,0.0064384523,-0.03175176,-0.0070441505,0.016025176,-0.023172623,7.6795724E-4,-0.024106828,-0.045440633,-0.0074440194,3.5374766E-4,0.024374487,0.0058897804,-0.012461025,-0.029086761,0.0029477053,-0.022914894,-0.032369837,0.020743662,0.024116345,0.0020526652,8.596536E-4,-5.83463E-4,0.061080184,0.020812698,-0.0235381,0.08112197,0.05689626,-0.003070104,-0.010714772,-0.004864459,0.027089117,-0.030910335,0.0017404438,-0.014978656,0.0127020255,0.01878998,-0.051732827,-0.0037475713,0.013033434,-0.023682894,-0.03219574,0.03736345,0.0058930484,-0.054040316,0.047637977,0.012636436,-0.05820182,0.013828813,-0.057893142,-0.012405234,0.030266648,-0.0029184038,-0.021839319,-0.045179468,-0.013123978,-0.021320488,0.0015718226,0.020244086,-0.014414709,0.009535103,-0.004497577,-0.02577227,-0.0085017495,0.029090486,0.009356506,0.0055838437,0.021151636,0.039531752,0.07814674,0.043186333,-0.0077368533,0.028967595,0.025058193,0.05432941,-0.04383656,-0.027070394,-0.080263995,-0.03616516,-0.026129462,-0.0033627374,0.035040155,0.015231506,-0.06372076,0.046391208,0.0049725454,0.003783345,-0.057800908,0.061461,-0.017880175,0.022820404,0.048944063,0.04725843,-0.013392871,0.05023065,0.0069421427,-0.019561166,0.012953843,0.06227977,-0.02114757,-0.003334329,0.023241237,-0.061053444,-0.023145229,0.016086273,0.0774039,0.008069459,-0.0013532874,-0.016790181,-0.027246375,-0.03254919,0.033754334,3.7142826E-4,-0.02387325,0.0057056695,0.0084914565,-0.051856343,0.029254,0.005583839,0.011591886,-0.033027634,-0.004170374,0.018334484,-0.0030969654,0.0024489106,0.0030196267,0.023012564,0.020529047,1.0772953E-4,0.0017700809,0.029260442,-0.018829526,-0.024797931,-0.039499596,0.008108761,-0.013099816,-0.11726566,-0.005652353,-0.008117937,-0.012961832,0.0152542135,-0.06429504,0.0184562,0.058997117,-0.027178442,-0.019294549,-0.01587592,0.0048053437,0.043830805,0.011232237,-0.026841154,-7.282251E-4,-0.00862919,-0.008405325,0.019370917,-0.008112641,-0.014931766,0.065622255,0.0149185015,0.013089685,-0.0028022556,-0.028629888,-0.048105706,0.009296162,0.010251239,0.030800395,0.028263845,-0.011021621,-0.034127586,0.014709971,-0.0075270324,0.010737263,0.020517904,-0.012932179,0.007153817,0.03736311,-0.03391106,0.03028614,0.012531187,-0.046059456,-0.0043963846,0.028799629,-0.06663413,-0.009447025,-0.019833198,-0.036111858,-0.01901045,0.040701825,0.0060573653,0.027482377,-0.019782187,-0.020186251,0.028398912,0.027108852,0.026535714,-9.95191E-4,-0.020599326,-0.005658084,-0.017271476,0.026300041,-0.006992451,-0.08593853,0.03675959,0.0029454317,-0.040927384,-0.035480253,0.016498009,-0.03406521,-0.026182177,-7.024827E-4,0.019500641,0.0047998386,-0.02416359,0.0019833131,0.0033488963,0.037788488,-0.009154958,-0.043469638,-0.024896,-0.017234193,0.044996973,-0.06303135,-0.051730774,0.04041444,0.0075959326,-0.03901764,-0.019851806,-0.008242245,0.06107143,0.030118924,-0.016167669,-0.028161867,-0.0025679746,-0.021713274,0.025275888,-0.012819265,-0.036431268,0.017991759,0.040626206,-0.0036572467,-5.935883E-4,-0.0037468506,0.034460746,-0.0182785,-0.00431203,-0.044755403,0.016463224,0.041199315,-0.0093387,0.03919184,-0.01151653,-0.016965209,0.006347649,0.021104146,0.060276803,-0.026659148,0.026461488,-0.032700688,0.0012274865,-0.024675943,-0.003006079,-0.009607032,0.010597691,0.0043017124,-0.01908524,0.006748306,-0.03049305,-0.017481703,0.036747415,0.036634356,7.106319E-4,0.045647435,-0.020883067,-0.0593661,-0.03929885,0.042825453,0.016104022,-0.03222858,0.031112716,0.020407677,-0.013276762,0.03657825,-0.033871554,0.004176301,0.009538976,-0.009995692,0.0042660628,0.050545394,-0.018142857,0.005219403,6.711967E-4,-0.014264284,0.031044828,-0.01827481,0.012488852,0.031393733,0.050390214,-0.014484084,-0.054758117,0.055042055,-0.005506624,-0.0066648237,0.010891078,0.012446279,0.061687976,0.018091502,0.0026527622,0.0321537,-0.02469515,0.01772019,0.006846163,-0.07471038,-0.024433741,0.02483875,0.0497063,0.0043456135,0.056550737,0.035752796,-0.02430349,0.036570627,-0.027576203,-0.012418993,0.023442797,-0.03433812,0.01953399,-0.028003592,-0.021168072,0.019414881,-0.014712576,-3.938545E-4,0.021453558,-0.023197332,-0.004455581,-0.08799191,0.0010808896,0.009281116,-0.0051161298,0.031497046,0.034916095,-0.023042161,0.030799815,0.017298799,0.0015253434,0.013728047,0.0035838438,0.016767647,-0.022243451,0.013371096,0.053564783,-0.008776885,-0.013133307,0.015577713,-0.027008705,0.009490815,-0.04103532,-0.012426461,-0.0050485474,-0.04323231,-0.013291623,-0.01660157,-0.055480026,0.017622838,0.017476618,-0.009798125,0.038226977,-0.03127579,0.019329516,0.033461004,-0.0039813113,-0.039526325,0.03884973,-0.011381027,-0.023257744,0.03033401,0.0029607012,-6.490531E-4,-0.0347344,0.029701462,-0.04153701,0.028073426,-0.025427297,0.009756264,-0.048082624,0.021743972,0.057197016,0.024082556,-0.013968224,0.044379756,-0.029081704,0.003487999,0.042621125,-0.04339743,-0.027005397,-0.02944044,-0.024172144,-0.07388652,0.05952364,0.02561452,-0.010255158,-0.015288555,0.045012463,0.012403602,-0.021197597,0.025847573,-0.016983166,0.03021369,-0.02920852,0.035140667,-0.010627725,-0.020431923,0.03191218,0.0046844087,0.056356475,-1.2615003E-4,-0.0052536936,-0.058609407,0.009710908,4.1168949E-4,-0.22300485,-0.0077232462,0.0029359192,-0.028645728,-0.021156758,0.029606635,-0.026473567,-0.0019432966,0.023867624,0.021946864,-8.2128344E-4,0.01897284,-0.017976845,-0.015677344,-0.0026336901,0.030096486]}
InsertRowsParam insertRowsParam = InsertRowsParam.newBuilder()
.withCollectionName(collectionName)
.withRows(rows)
.build();
R<InsertResponse> res = client.insert(insertRowsParam);
if (res.getException() != null) {
System.err.println("Failed to insert: " + res.getException().getMessage());
return;
}
System.out.println("Successfully inserted " + res.getData().getInsertCount() + " records");
// Output:
// Successfully inserted 1 records
}
public static List<JSONObject> getRows(JSONArray dataset, int counts) {
List<JSONObject> rows = new ArrayList<JSONObject>();
for (int i = 0; i < counts; i++) {
JSONObject json_row = new JSONObject(1, true);
JSONObject original_row = dataset.getJSONObject(i);
Long id = original_row.getLong("id");
String title = original_row.getString("title");
String link = original_row.getString("link");
String publication = original_row.getString("publication");
Long reading_time = original_row.getLong("reading_time");
Long claps = original_row.getLong("claps");
Long responses = original_row.getLong("responses");
List<Float> vectors = original_row.getJSONArray("title_vector").toJavaList(Float.class);
json_row.put("id", id);
json_row.put("link", link);
json_row.put("publication", publication);
json_row.put("reading_time", reading_time);
json_row.put("claps", claps);
json_row.put("responses", responses);
json_row.put("title", title);
json_row.put("vector", vectors);
rows.add(json_row);
}
return rows;
}
}# Read the first record from the dataset
data="$(cat path/to/medium_articles_2020_dpr.json \
| jq '.rows' \
| jq '.[0]' \
| jq -c '. + {"vector": .title_vector} | del(.title_vector) | del(.id)' )"
echo $data
# Insert a single entity
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/insert" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"data\": ${data}
}"
# Output:
#
# {
# "code": 200,
# "data": {
# "insertCount": 1,
# "insertIds": [
# "442147653350115745"
# ]
# }
# }插入多个 Entity
- Python
- NodeJS
- Java
- Bash
# Read the first 200 records
with open(DATASET_PATH) as f:
data = json.load(f)
data = data["rows"][:200]
for x in data:
x["vector"] = x.pop("title_vector")
# Insert multiple entities
res = client.insert(
collection_name=COLLECTION_NAME,
data=data
)
print(res)
# Output
#
# [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, "(180 more items hidden)"]async function main() {
// (Continued)
// Read a few records from the dataset
const data = JSON.parse(fs.readFileSync(data_file, 'utf8'));
const client_data = data.rows.map((row) => {
row.vector = row.title_vector;
delete row.title_vector;
return row;
});
console.log(client_data[0]);
// Output
//
// [
// {
// id: 0,
// title: 'The Reported Mortality Rate of Coronavirus Is Not Important',
// link: 'https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912',
// reading_time: 13,
// publication: 'The Startup',
// claps: 1100,
// responses: 18,
// vector: [
// 0.041732933, 0.013779674, -0.027564144, -0.013061441,
// 0.009748648, 0.00082446384, -0.00071647146, 0.048612226,
// -0.04836573, -0.04567751, 0.018008126, 0.0063936645,
// -0.011913628, 0.030776596, -0.018274948, 0.019929802,
// 0.020547243, 0.032735646, -0.031652678, -0.033816382,
// -0.051087562, -0.033748355, 0.0039493158, 0.009246126,
// -0.060236514, -0.017136049, 0.028754413, -0.008433934,
// 0.011168004, -0.012391256, -0.011225835, 0.031775184,
// 0.002929508, -0.007448661, -0.005337719, -0.010999258,
// -0.01515909, -0.005130484, 0.0060212007, 0.0034560722,
// -0.022935811, -0.04970116, -0.0155887455, 0.06627353,
// -0.006052789, -0.051570725, -0.109865054, 0.033205193,
// 0.00041118253, 0.0029823708, 0.036160238, -0.011256539,
// 0.00023560718, 0.058322437, 0.022275906, 0.015206677,
// -0.02884609, 0.0016338055, 0.0049200393, 0.014388571,
// -0.0049061654, -0.04664761, -0.027454877, 0.017526226,
// -0.005100602, 0.018090058, 0.02700998, 0.04031944,
// -0.0097965, -0.03674761, -0.0043163053, -0.023320708,
// 0.012654851, -0.014262311, -0.008081833, -0.018334744,
// 0.0014025003, -0.003053399, -0.002636383, -0.022398386,
// -0.004725274, 0.00036367847, -0.012368711, 0.0014739085,
// 0.03450414, 0.009684024, 0.017912658, 0.06594397,
// 0.021381201, 0.029343689, -0.0069561847, 0.026152428,
// 0.04635037, 0.014746184, -0.002119602, 0.034359712,
// -0.013705124, 0.010691518, 0.04060854, 0.013679299,
// ... 668 more items
// ]
// }
// ]
//
res = await client.insert({
collection_name: collectionName,
data: client_data
})
console.log(res);
// Output
//
// {
// succ_index: [
// 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
// 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
// 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
// 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
// 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
// 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
// 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
// 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95,
// 96, 97, 98, 99,
// ... 5879 more items
// ],
// err_index: [],
// status: { error_code: 'Success', reason: '', code: 0 },
// IDs: { int_id: { data: [Array] }, id_field: 'int_id' },
// acknowledged: false,
// insert_cnt: '5979',
// delete_cnt: '0',
// upsert_cnt: '0',
// timestamp: '445337091304325121'
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// 4. Insert entities
String content;
Path file = Path.of(data_file);
try {
content = Files.readString(file);
} catch (Exception e) {
System.err.println("Failed to read file: " + e.getMessage());
return;
}
System.out.println("Successfully read file");
// Output:
// Successfully read file
// Load dataset
JSONObject dataset = JSON.parseObject(content);
// Change the counts argument to limit the rows.
List<JSONObject> rows = getRows(dataset.getJSONArray("rows"), 5979);
// Pretty print the first row
System.out.println(rows.get(0));
// Output:
// {"id":0,"link":"https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912","publication":"The Startup","reading_time":13,"claps":1100,"responses":18,"title":"The Reported Mortality Rate of Coronavirus Is Not Important","vector":[0.041732933,0.013779674,-0.027564144,-0.013061441,0.009748648,8.2446384E-4,-7.1647146E-4,0.048612226,-0.04836573,-0.04567751,0.018008126,0.0063936645,-0.011913628,0.030776596,-0.018274948,0.019929802,0.020547243,0.032735646,-0.031652678,-0.033816382,-0.051087562,-0.033748355,0.0039493158,0.009246126,-0.060236514,-0.017136049,0.028754413,-0.008433934,0.011168004,-0.012391256,-0.011225835,0.031775184,0.002929508,-0.007448661,-0.005337719,-0.010999258,-0.01515909,-0.005130484,0.0060212007,0.0034560722,-0.022935811,-0.04970116,-0.0155887455,0.06627353,-0.006052789,-0.051570725,-0.109865054,0.033205193,4.1118253E-4,0.0029823708,0.036160238,-0.011256539,2.3560718E-4,0.058322437,0.022275906,0.015206677,-0.02884609,0.0016338055,0.0049200393,0.014388571,-0.0049061654,-0.04664761,-0.027454877,0.017526226,-0.005100602,0.018090058,0.02700998,0.04031944,-0.0097965,-0.03674761,-0.0043163053,-0.023320708,0.012654851,-0.014262311,-0.008081833,-0.018334744,0.0014025003,-0.003053399,-0.002636383,-0.022398386,-0.004725274,3.6367847E-4,-0.012368711,0.0014739085,0.03450414,0.009684024,0.017912658,0.06594397,0.021381201,0.029343689,-0.0069561847,0.026152428,0.04635037,0.014746184,-0.002119602,0.034359712,-0.013705124,0.010691518,0.04060854,0.013679299,-0.018990282,0.035340093,0.007353945,-0.035990074,0.013126987,-0.032933377,-0.001756877,-0.0049658176,-0.03380879,-0.07024137,-0.0130426735,0.010533265,-0.023091802,-0.004645729,-0.03344451,0.04759929,0.025985204,-0.040710885,-0.016681142,-0.024664842,-0.025170377,0.08839205,-0.023733815,0.019494494,0.0055427826,0.045460507,0.07066554,0.022181382,0.018302314,0.026806992,-0.006066003,0.046525814,-0.04066389,0.019001767,0.021242762,-0.020784091,-0.031635042,0.04573943,0.02515421,-0.050663553,-0.05183343,-0.046468202,-0.07910535,0.017036669,0.021445233,0.04277428,-0.020235524,-0.055314954,0.00904601,-0.01104365,0.03069203,-0.00821997,-0.035594665,0.024322856,-0.0068963314,0.009003657,0.00398102,-0.008596356,0.014772055,0.02740991,0.025503553,0.0038213644,-0.0047855405,-0.034888722,0.030553816,-0.008325959,0.030010607,0.023729775,0.016138833,-0.022967983,-0.08616877,-0.02460819,-0.008210168,-0.06444098,0.018750126,-0.03335763,0.022024624,0.032374356,0.023870794,0.021288997,-0.026617877,0.020435361,-0.003692393,-0.024113296,0.044870164,-0.030451361,0.013022849,0.002278627,-0.027616743,-0.012087787,-0.033232547,-0.022974484,0.02801226,-0.029057292,0.060317725,-0.02312559,0.015558754,0.073630534,0.02490823,-0.0140531305,-0.043771528,0.040756326,0.01667925,-0.0046050115,-0.08938058,0.10560781,0.015044094,0.003613817,0.013523503,-0.011039813,0.06396795,0.013428416,-0.025031878,-0.014972648,-0.015970055,0.037022553,-0.013759925,0.013363354,0.0039748577,-0.0040822625,0.018209668,-0.057496265,0.034993384,0.07075411,0.023498386,0.085871644,0.028646072,0.007590898,0.07037031,-0.05005178,0.010477505,-0.014106617,0.013402172,0.007472563,-0.03131418,0.020552127,-0.031878896,-0.04170217,-0.03153583,0.03458349,0.03366634,0.021306382,-0.037176874,0.029069472,0.014662372,0.0024123765,-0.025403008,-0.0372993,-0.049923114,-0.014209514,-0.015524425,0.036377322,0.04259327,-0.029715618,0.02657093,-0.0062432447,-0.0024253451,-0.021287171,0.010478781,-0.029322306,-0.021203341,0.047209084,0.025337176,0.018471811,-0.008709492,-0.047414266,-0.06227469,-0.05713435,0.02141101,0.024481304,0.07176469,0.0211379,-0.049316987,-0.124073654,0.0049275495,-0.02461509,-0.02738388,0.04825289,-0.05069646,0.012640115,-0.0061352802,0.034599125,0.02799496,-0.01511028,-0.046418104,0.011309801,0.016673129,-0.033531003,-0.049203333,-0.027218347,-0.03528408,0.008881575,0.010736325,0.034232814,0.012807507,-0.0100207105,0.0067757815,0.009538357,0.026212366,-0.036120333,-0.019764563,0.006527411,-0.016437015,-0.009759148,-0.042246807,0.012492151,0.0066206953,0.010672299,-0.44499892,-0.036189068,-0.015703931,-0.031111298,-0.020329623,0.0047888453,0.090396516,-0.041484866,0.033830352,-0.0033847596,0.06065415,0.030880837,0.05558494,0.022805553,0.009607596,0.006682602,0.036806617,0.02406229,0.034229457,-0.0105605405,0.034754273,0.02436426,-0.03849325,0.021132406,-0.01251386,0.022090863,-0.029137045,0.0064384523,-0.03175176,-0.0070441505,0.016025176,-0.023172623,7.6795724E-4,-0.024106828,-0.045440633,-0.0074440194,3.5374766E-4,0.024374487,0.0058897804,-0.012461025,-0.029086761,0.0029477053,-0.022914894,-0.032369837,0.020743662,0.024116345,0.0020526652,8.596536E-4,-5.83463E-4,0.061080184,0.020812698,-0.0235381,0.08112197,0.05689626,-0.003070104,-0.010714772,-0.004864459,0.027089117,-0.030910335,0.0017404438,-0.014978656,0.0127020255,0.01878998,-0.051732827,-0.0037475713,0.013033434,-0.023682894,-0.03219574,0.03736345,0.0058930484,-0.054040316,0.047637977,0.012636436,-0.05820182,0.013828813,-0.057893142,-0.012405234,0.030266648,-0.0029184038,-0.021839319,-0.045179468,-0.013123978,-0.021320488,0.0015718226,0.020244086,-0.014414709,0.009535103,-0.004497577,-0.02577227,-0.0085017495,0.029090486,0.009356506,0.0055838437,0.021151636,0.039531752,0.07814674,0.043186333,-0.0077368533,0.028967595,0.025058193,0.05432941,-0.04383656,-0.027070394,-0.080263995,-0.03616516,-0.026129462,-0.0033627374,0.035040155,0.015231506,-0.06372076,0.046391208,0.0049725454,0.003783345,-0.057800908,0.061461,-0.017880175,0.022820404,0.048944063,0.04725843,-0.013392871,0.05023065,0.0069421427,-0.019561166,0.012953843,0.06227977,-0.02114757,-0.003334329,0.023241237,-0.061053444,-0.023145229,0.016086273,0.0774039,0.008069459,-0.0013532874,-0.016790181,-0.027246375,-0.03254919,0.033754334,3.7142826E-4,-0.02387325,0.0057056695,0.0084914565,-0.051856343,0.029254,0.005583839,0.011591886,-0.033027634,-0.004170374,0.018334484,-0.0030969654,0.0024489106,0.0030196267,0.023012564,0.020529047,1.0772953E-4,0.0017700809,0.029260442,-0.018829526,-0.024797931,-0.039499596,0.008108761,-0.013099816,-0.11726566,-0.005652353,-0.008117937,-0.012961832,0.0152542135,-0.06429504,0.0184562,0.058997117,-0.027178442,-0.019294549,-0.01587592,0.0048053437,0.043830805,0.011232237,-0.026841154,-7.282251E-4,-0.00862919,-0.008405325,0.019370917,-0.008112641,-0.014931766,0.065622255,0.0149185015,0.013089685,-0.0028022556,-0.028629888,-0.048105706,0.009296162,0.010251239,0.030800395,0.028263845,-0.011021621,-0.034127586,0.014709971,-0.0075270324,0.010737263,0.020517904,-0.012932179,0.007153817,0.03736311,-0.03391106,0.03028614,0.012531187,-0.046059456,-0.0043963846,0.028799629,-0.06663413,-0.009447025,-0.019833198,-0.036111858,-0.01901045,0.040701825,0.0060573653,0.027482377,-0.019782187,-0.020186251,0.028398912,0.027108852,0.026535714,-9.95191E-4,-0.020599326,-0.005658084,-0.017271476,0.026300041,-0.006992451,-0.08593853,0.03675959,0.0029454317,-0.040927384,-0.035480253,0.016498009,-0.03406521,-0.026182177,-7.024827E-4,0.019500641,0.0047998386,-0.02416359,0.0019833131,0.0033488963,0.037788488,-0.009154958,-0.043469638,-0.024896,-0.017234193,0.044996973,-0.06303135,-0.051730774,0.04041444,0.0075959326,-0.03901764,-0.019851806,-0.008242245,0.06107143,0.030118924,-0.016167669,-0.028161867,-0.0025679746,-0.021713274,0.025275888,-0.012819265,-0.036431268,0.017991759,0.040626206,-0.0036572467,-5.935883E-4,-0.0037468506,0.034460746,-0.0182785,-0.00431203,-0.044755403,0.016463224,0.041199315,-0.0093387,0.03919184,-0.01151653,-0.016965209,0.006347649,0.021104146,0.060276803,-0.026659148,0.026461488,-0.032700688,0.0012274865,-0.024675943,-0.003006079,-0.009607032,0.010597691,0.0043017124,-0.01908524,0.006748306,-0.03049305,-0.017481703,0.036747415,0.036634356,7.106319E-4,0.045647435,-0.020883067,-0.0593661,-0.03929885,0.042825453,0.016104022,-0.03222858,0.031112716,0.020407677,-0.013276762,0.03657825,-0.033871554,0.004176301,0.009538976,-0.009995692,0.0042660628,0.050545394,-0.018142857,0.005219403,6.711967E-4,-0.014264284,0.031044828,-0.01827481,0.012488852,0.031393733,0.050390214,-0.014484084,-0.054758117,0.055042055,-0.005506624,-0.0066648237,0.010891078,0.012446279,0.061687976,0.018091502,0.0026527622,0.0321537,-0.02469515,0.01772019,0.006846163,-0.07471038,-0.024433741,0.02483875,0.0497063,0.0043456135,0.056550737,0.035752796,-0.02430349,0.036570627,-0.027576203,-0.012418993,0.023442797,-0.03433812,0.01953399,-0.028003592,-0.021168072,0.019414881,-0.014712576,-3.938545E-4,0.021453558,-0.023197332,-0.004455581,-0.08799191,0.0010808896,0.009281116,-0.0051161298,0.031497046,0.034916095,-0.023042161,0.030799815,0.017298799,0.0015253434,0.013728047,0.0035838438,0.016767647,-0.022243451,0.013371096,0.053564783,-0.008776885,-0.013133307,0.015577713,-0.027008705,0.009490815,-0.04103532,-0.012426461,-0.0050485474,-0.04323231,-0.013291623,-0.01660157,-0.055480026,0.017622838,0.017476618,-0.009798125,0.038226977,-0.03127579,0.019329516,0.033461004,-0.0039813113,-0.039526325,0.03884973,-0.011381027,-0.023257744,0.03033401,0.0029607012,-6.490531E-4,-0.0347344,0.029701462,-0.04153701,0.028073426,-0.025427297,0.009756264,-0.048082624,0.021743972,0.057197016,0.024082556,-0.013968224,0.044379756,-0.029081704,0.003487999,0.042621125,-0.04339743,-0.027005397,-0.02944044,-0.024172144,-0.07388652,0.05952364,0.02561452,-0.010255158,-0.015288555,0.045012463,0.012403602,-0.021197597,0.025847573,-0.016983166,0.03021369,-0.02920852,0.035140667,-0.010627725,-0.020431923,0.03191218,0.0046844087,0.056356475,-1.2615003E-4,-0.0052536936,-0.058609407,0.009710908,4.1168949E-4,-0.22300485,-0.0077232462,0.0029359192,-0.028645728,-0.021156758,0.029606635,-0.026473567,-0.0019432966,0.023867624,0.021946864,-8.2128344E-4,0.01897284,-0.017976845,-0.015677344,-0.0026336901,0.030096486]}
InsertRowsParam insertRowsParam = InsertRowsParam.newBuilder()
.withCollectionName(collectionName)
.withRows(rows)
.build();
R<InsertResponse> res = client.insert(insertRowsParam);
if (res.getException() != null) {
System.err.println("Failed to insert: " + res.getException().getMessage());
return;
}
System.out.println("Successfully inserted " + res.getData().getInsertCount() + " records");
// Output:
// Successfully inserted 5979 records
}
public static List<JSONObject> getRows(JSONArray dataset, int counts) {
List<JSONObject> rows = new ArrayList<JSONObject>();
for (int i = 0; i < counts; i++) {
JSONObject json_row = new JSONObject(1, true);
JSONObject original_row = dataset.getJSONObject(i);
Long id = original_row.getLong("id");
String title = original_row.getString("title");
String link = original_row.getString("link");
String publication = original_row.getString("publication");
Long reading_time = original_row.getLong("reading_time");
Long claps = original_row.getLong("claps");
Long responses = original_row.getLong("responses");
List<Float> vectors = original_row.getJSONArray("title_vector").toJavaList(Float.class);
json_row.put("id", id);
json_row.put("link", link);
json_row.put("publication", publication);
json_row.put("reading_time", reading_time);
json_row.put("claps", claps);
json_row.put("responses", responses);
json_row.put("title", title);
json_row.put("vector", vectors);
rows.add(json_row);
}
return rows;
}
}# read the first 200 records from the dataset
data="$(cat path/to/medium_articles_2020_dpr.json \
| jq '.rows' \
| jq '.[1:200]' \
| jq -r '.[] | . + {"vector": .title_vector} | del(.title_vector) | del(.id)' \
| jq -s -c '.')"
echo $data
# Insert multiple entities
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/insert" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"data\": ${data}
}"
# Response
#
# {
# "code": 200,
# "data": {
# "insertCount": 200,
# "insertIds": [
# "442147653350115755",
# "442147653350115756",
# ...
# ]
# }
# }
向量搜索、标量查询、获取 Entity
向量搜索、标量查询及通过 ID 获取 Entity 是三种不同的操作。
向量搜索是指进行近似最近邻（ANN）搜索。
标量查询是指根据特定条件查找匹配的数据。
获取 Entity 是指根据 ID 获取特定 Entity。
向量搜索（ANN 搜索）
示例数据集中的 vector 字段包含了由每篇文章标题转化而来的向量。以下示例展示如何对向量数据进行 ANN 搜索，从而找到与查询标题含义最相似的文章标题。
- Python
- NodeJS
- Java
- Bash
# Conduct an ANN search
res = client.search(
collection_name=COLLECTION_NAME,
data=[data["rows"][0]["title_vector"]],
output_fields=["title"]
)
print(res)
# Output
#
# [
# [
# {
# "id": 0,
# "distance": 1.0,
# "entity": {
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important"
# }
# },
# {
# "id": 70,
# "distance": 0.7525784969329834,
# "entity": {
# "title": "How bad will the Coronavirus Outbreak get? \u2014 Predicting the outbreak figures"
# }
# },
# {
# "id": 160,
# "distance": 0.7132074236869812,
# "entity": {
# "title": "The Funeral Industry is a Killer"
# }
# },
# {
# "id": 111,
# "distance": 0.6888885498046875,
# "entity": {
# "title": "The role of AI in web-based ADA and WCAG compliance"
# }
# },
# {
# "id": 196,
# "distance": 0.6882869601249695,
# "entity": {
# "title": "The Question We Should Be Asking About the Cost of Youth Sports"
# }
# },
# {
# "id": 51,
# "distance": 0.6719912886619568,
# "entity": {
# "title": "What if Facebook had to pay you for the profit they are making?"
# }
# },
# {
# "id": 178,
# "distance": 0.6699185371398926,
# "entity": {
# "title": "Is The Environmental Damage Due To Cruise Ships Irreversible?"
# }
# },
# {
# "id": 47,
# "distance": 0.6680259704589844,
# "entity": {
# "title": "What Happens When the Google Cookie Crumbles?"
# }
# },
# {
# "id": 135,
# "distance": 0.6597772836685181,
# "entity": {
# "title": "How to Manage Risk as a Product Manager"
# }
# }
# ]
# ]
async function main () {
// (Continued)
// Conduct an ANN search
res = await client.search({
collection_name: collectionName,
vector: client_data[0].vector,
output_fields: ['title', 'link'],
limit: 5,
})
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// results: [
// {
// score: 1,
// id: '0',
// title: 'The Reported Mortality Rate of Coronavirus Is Not Important',
// link: 'https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912'
// },
// {
// score: 0.8500008583068848,
// id: '3177',
// title: 'Following the Spread of Coronavirus',
// link: 'https://towardsdatascience.com/following-the-spread-of-coronavirus-23626940c125'
// },
// {
// score: 0.8194807767868042,
// id: '5607',
// title: 'The Hidden Side Effect of the Coronavirus',
// link: 'https://medium.com/swlh/the-hidden-side-effect-of-the-coronavirus-b6a7a5ee9586'
// },
// {
// score: 0.8116300106048584,
// id: '5641',
// title: 'Why The Coronavirus Mortality Rate is Misleading',
// link: 'https://towardsdatascience.com/why-the-coronavirus-mortality-rate-is-misleading-cc63f571b6a6'
// }
// ]
// }
//
// Conduct an ANN search with filters
res = await client.search({
collection_name: collectionName,
vector: client_data[0].vector,
output_fields: ["title", "claps", "publication"],
filter: 'claps > 100 and publication in ["The Startup", "Towards Data Science"]',
limit: 5,
})
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// results: [
// {
// score: 1,
// id: '0',
// claps: 1100,
// publication: 'The Startup',
// title: 'The Reported Mortality Rate of Coronavirus Is Not Important'
// },
// {
// score: 0.8500008583068848,
// id: '3177',
// claps: 215,
// publication: 'Towards Data Science',
// title: 'Following the Spread of Coronavirus'
// },
// {
// score: 0.8116300106048584,
// id: '5641',
// claps: 2900,
// publication: 'Towards Data Science',
// title: 'Why The Coronavirus Mortality Rate is Misleading'
// },
// {
// score: 0.7555683851242065,
// id: '4275',
// claps: 255,
// publication: 'The Startup',
// title: 'How Can AI Help Fight Coronavirus?'
// }
// ]
// }
//
}
public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// 5. search
List<List<Float>> queryVectors = new ArrayList<>();
List<Float> queryVector1 = rows.get(0).getJSONArray("vector").toJavaList(Float.class);
queryVectors.add(queryVector1);
List<String> outputFields = new ArrayList<>();
outputFields.add("title");
SearchSimpleParam searchSimpleParam = SearchSimpleParam.newBuilder()
.withCollectionName(collectionName)
.withVectors(queryVectors)
.withOutputFields(outputFields)
.withOffset(0L)
.withLimit(3L)
.build();
R<SearchResponse> searchRes = client.search(searchSimpleParam);
if (searchRes.getException() != null) {
System.err.println("Failed to search: " + searchRes.getException().getMessage());
return;
}
List<RowRecord> searchResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: searchRes.getData().getRowRecords(0)) {
searchResults.add(rowRecord);
}
System.out.println(searchResults);
// Output:
// [[distance:0.0, id:0, title:The Reported Mortality Rate of Coronavirus Is Not Important], [distance:0.29999834, id:3177, title:Following the Spread of Coronavirus], [distance:0.36103833, id:5607, title:The Hidden Side Effect of the Coronavirus]]
// 6. search with filters
outputFields.add("claps");
outputFields.add("publication");
SearchSimpleParam searchSimpleParamWithFilter = SearchSimpleParam.newBuilder()
.withCollectionName(collectionName)
.withVectors(queryVectors)
.withOutputFields(outputFields)
.withFilter("claps > 100 and publication in ['The Startup', 'Towards Data Science']")
.withOffset(0L)
.withLimit(3L)
.build();
R<SearchResponse> searchResWithFilter = client.search(searchSimpleParamWithFilter);
if (searchResWithFilter.getException() != null) {
System.err.println("Failed to search: " + searchResWithFilter.getException().getMessage());
return;
}
List<RowRecord> searchWithFilterResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: searchResWithFilter.getData().getRowRecords(0)) {
searchWithFilterResults.add(rowRecord);
}
System.out.println(searchWithFilterResults);
// Output:
// [[distance:0.0, publication:The Startup, id:0, title:The Reported Mortality Rate of Coronavirus Is Not Important, claps:1100], [distance:0.29999834, publication:Towards Data Science, id:3177, title:Following the Spread of Coronavirus, claps:215], [distance:0.37674016, publication:Towards Data Science, id:5641, title:Why The Coronavirus Mortality Rate is Misleading, claps:2900]]
}
}
# read the first vector from the dataset
vector="$(cat path/to/medium_articles_2020_dpr.json \
| jq '.rows[0].title_vector' )"
echo $vector
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/search" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"limit\": 3,
\"vector\": $vector
}"
# Response
#
# {
# "code": 200,
# "data": [
# {
# "distance": 0,
# "id": 442147653350115900
# },
# {
# "distance": 0.494843,
# "id": 442147653350116000
# },
# {
# "distance": 0.65601754,
# "id": 442147653350116000
# }
# ]
# }
您还可以在 ANN 搜索过程中添加过滤条件以缩小搜索范围。
- Python
- NodeJS
- Java
- Bash
# Conduct an ANN search with filters
res = client.search(
collection_name=COLLECTION_NAME,
data=[data["rows"][0]["title_vector"]],
filter='claps > 100 and publication in ["The Startup", "Towards Data Science"]',
output_fields=["title", "claps", "publication"]
)
print(res)
# Output
#
# [
# [
# {
# "id": 0,
# "distance": 1.0,
# "entity": {
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important",
# "publication": "The Startup",
# "claps": 1100
# }
# },
# {
# "id": 70,
# "distance": 0.7525784969329834,
# "entity": {
# "title": "How bad will the Coronavirus Outbreak get? \u2014 Predicting the outbreak figures",
# "publication": "Towards Data Science",
# "claps": 1100
# }
# },
# {
# "id": 160,
# "distance": 0.7132074236869812,
# "entity": {
# "title": "The Funeral Industry is a Killer",
# "publication": "The Startup",
# "claps": 407
# }
# },
# {
# "id": 111,
# "distance": 0.6888885498046875,
# "entity": {
# "title": "The role of AI in web-based ADA and WCAG compliance",
# "publication": "Towards Data Science",
# "claps": 935
# }
# },
# {
# "id": 47,
# "distance": 0.6680259704589844,
# "entity": {
# "title": "What Happens When the Google Cookie Crumbles?",
# "publication": "The Startup",
# "claps": 203
# }
# },
# {
# "id": 135,
# "distance": 0.6597772836685181,
# "entity": {
# "title": "How to Manage Risk as a Product Manager",
# "publication": "The Startup",
# "claps": 120
# }
# },
# {
# "id": 174,
# "distance": 0.6502071619033813,
# "entity": {
# "title": "I Thought Suicide was Selfish Until I Wanted to Die",
# "publication": "The Startup",
# "claps": 319
# }
# },
# {
# "id": 7,
# "distance": 0.6361640095710754,
# "entity": {
# "title": "Building Comprehensible Customer Churn Prediction Models",
# "publication": "The Startup",
# "claps": 261
# }
# },
# {
# "id": 181,
# "distance": 0.6355971693992615,
# "entity": {
# "title": "It\u2019s OK to Admit You\u2019re Writing For Money",
# "publication": "The Startup",
# "claps": 626
# }
# }
# ]
# ]
async function main () {
// (Continued)
// Conduct an ANN search with filters
res = await client.search({
collection_name: collectionName,
vector: client_data[0].vector,
output_fields: ["title", "claps", "publication"],
filter: 'claps > 100 and publication in ["The Startup", "Towards Data Science"]',
limit: 5,
})
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// results: [
// {
// score: 1,
// id: '0',
// claps: 1100,
// publication: 'The Startup',
// title: 'The Reported Mortality Rate of Coronavirus Is Not Important'
// },
// {
// score: 0.8500008583068848,
// id: '3177',
// claps: 215,
// publication: 'Towards Data Science',
// title: 'Following the Spread of Coronavirus'
// },
// {
// score: 0.8116300106048584,
// id: '5641',
// claps: 2900,
// publication: 'Towards Data Science',
// title: 'Why The Coronavirus Mortality Rate is Misleading'
// },
// {
// score: 0.7555683851242065,
// id: '4275',
// claps: 255,
// publication: 'The Startup',
// title: 'How Can AI Help Fight Coronavirus?'
// }
// ]
// }
//
}
public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// 6. search with filters
outputFields.add("claps");
outputFields.add("publication");
SearchSimpleParam searchSimpleParamWithFilter = SearchSimpleParam.newBuilder()
.withCollectionName(collectionName)
.withVectors(queryVectors)
.withOutputFields(outputFields)
.withFilter("claps > 100 and publication in ['The Startup', 'Towards Data Science']")
.withOffset(0L)
.withLimit(3L)
.build();
R<SearchResponse> searchResWithFilter = client.search(searchSimpleParamWithFilter);
if (searchResWithFilter.getException() != null) {
System.err.println("Failed to search: " + searchResWithFilter.getException().getMessage());
return;
}
List<RowRecord> searchWithFilterResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: searchResWithFilter.getData().getRowRecords(0)) {
searchWithFilterResults.add(rowRecord);
}
System.out.println(searchWithFilterResults);
// Output:
// [[distance:0.0, publication:The Startup, id:0, title:The Reported Mortality Rate of Coronavirus Is Not Important, claps:1100], [distance:0.29999834, publication:Towards Data Science, id:3177, title:Following the Spread of Coronavirus, claps:215], [distance:0.37674016, publication:Towards Data Science, id:5641, title:Why The Coronavirus Mortality Rate is Misleading, claps:2900]]
}
}
# read the first vector from the dataset
vector="$(cat path/to/medium_articles_2020_dpr.json \
| jq '.rows[0].title_vector' )"
echo $vector
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/search" \
--header "Authorization: Bearer ${API_KEY}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"limit\": 3,
\"vector\": $vector,
\"filter\": \"claps > 5\",
\"outputFields\": [\"title\", \"claps\"]
}"
# Output
#
# {
# "code": 200,
# "data": [
# {
# "claps": 1100,
# "distance": 0,
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important"
# },
# {
# "claps": 1100,
# "distance": 0.494843,
# "title": "How bad will the Coronavirus Outbreak get? — Predicting the outbreak figures"
# },
# {
# "claps": 54,
# "distance": 0.65601754,
# "title": "What if Facebook had to pay you for the profit they are making?"
# }
# ]
# }
标量查询
除 vector 字段以外，数据集中的所有字段均为标量字段。您可以对标量字段设置过滤条件，从而筛选所需数据。以下示例展示如何进行向量查询。
- Python
- NodeJS
- Java
- Bash
# Perform a query
res = client.query(
collection_name=COLLECTION_NAME,
filter="claps > 100 and publication in ['The Startup', 'Towards Data Science']",
limit=3,
outputField=["title", "claps", "publication"]
)
print(res[0])
# Output
#
# [
# {
# "id": 0,
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important",
# "link": "<https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912>",
# "reading_time": 13,
# "publication": "The Startup",
# "claps": 1100,
# "responses": 18,
# "vector": [
# 0.041732933,
# 0.013779674,
# -0.027564144,
# -0.013061441,
# 0.009748648,
# 0.00082446384,
# -0.00071647146,
# 0.048612226,
# -0.04836573,
# -0.04567751,
# 0.018008126,
# 0.0063936645,
# -0.011913628,
# 0.030776596,
# -0.018274948,
# 0.019929802,
# 0.020547243,
# 0.032735646,
# -0.031652678,
# -0.033816382,
# "(748 more items hidden)"
# ]
# }
# ]
async function main () {
// (Continued)
// Perform a query
res = await client.query({
collection_name: collectionName,
filter: 'claps > 100 and publication in ["The Startup", "Towards Data Science"]',
output_fields: ["title", "claps", "publication"],
limit: 5,
})
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// data: [
// { '$meta': [Object], id: '0' },
// { '$meta': [Object], id: '1' },
// { '$meta': [Object], id: '2' },
// { '$meta': [Object], id: '3' }
// ]
// }
//
}
public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
QuerySimpleParam querySimpleParam = QuerySimpleParam.newBuilder()
.withCollectionName(collectionName)
.withFilter("claps > 100 and publication in ['The Startup', 'Towards Data Science']")
.withOutputFields(outputFields)
.withOffset(0L)
.withLimit(3L)
.build();
R<QueryResponse> queryRes = client.query(querySimpleParam);
if (queryRes.getException() != null) {
System.err.println("Failed to query: " + queryRes.getException().getMessage());
return;
}
List<RowRecord> queryResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: queryRes.getData().getRowRecords()) {
queryResults.add(rowRecord);
}
System.out.println(queryResults);
// Output:
// [[publication:The Startup, id:0, title:The Reported Mortality Rate of Coronavirus Is Not Important, claps:1100], [publication:The Startup, id:1, title:Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else, claps:726], [publication:The Startup, id:2, title:How Can We Best Switch in Python?, claps:500]]
}
}
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/query" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"limit\": 3,
\"filter\": \"claps > 100 and publication in ['The Startup', 'Towards Data Science']\",
\"outputFields\": [\"title\", \"claps\", \"publication\"]
}"
# Output
#
# {
# "code": 200,
# "data": [
# {
# "claps": 1100,
# "id": 442147653350117440,
# "publication": "The Startup",
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important"
# },
# {
# "claps": 726,
# "id": 442147653350117440,
# "publication": "The Startup",
# "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else"
# },
# {
# "claps": 500,
# "id": 442147653350117440,
# "publication": "The Startup",
# "title": "How Can We Best Switch in Python?"
# }
# ]
# }
根据 ID 获取 Entity
您可以根据 Entity ID 获取特定 Entity。以下示例展示如何根据 ID 获取 Entity。
根据 Entity ID 获取单个 Entity
- Python
- NodeJS
- Java
- Bash
# Retrieve a single entity by ID
res = client.get(
collection_name=COLLECTION_NAME,
ids=1
)
print(res)
# Output
#
# [
# {
# "id": 1,
# "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else",
# "link": "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
# "reading_time": 14,
# "publication": "The Startup",
# "claps": 726,
# "responses": 3,
# "vector": [
# 0.0039737443,
# 0.003020432,
# -0.0006188639,
# 0.03913546,
# -0.00089768134,
# 0.021238148,
# 0.014454661,
# 0.025742851,
# 0.0022063442,
# -0.051130578,
# -0.0010897011,
# 0.038453076,
# 0.011593861,
# -0.046852026,
# 0.0064208573,
# 0.010120634,
# -0.023668954,
# 0.041229635,
# 0.008146385,
# -0.023367394,
# "(748 more items hidden)"
# ]
# }
# ]async function main () {
// (Continued)
// Get an entity by id
res = await client.get({
collection_name: collectionName,
ids: [0],
output_fields: ['id', 'title']
});
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// data: [ { id: '0', '$meta': [Object] } ]
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
List<String> ids = Lists.newArrayList("1");
// List<String> ids = Lists.newArrayList("1", "2", "3");
GetIdsParam getParam = GetIdsParam.newBuilder()
.withCollectionName(collectionName)
.withPrimaryIds(ids)
.withOutputFields(Lists.newArrayList("*"))
.build();
R<GetResponse> getRes = client.get(getParam);
if (getRes.getException() != null) {
System.err.println("Failed to get: " + getRes.getException().getMessage());
return;
}
List<RowRecord> getResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: getRes.getData().getRowRecords()) {
getResults.add(rowRecord);
}
System.out.println(getResults);
// Output:
// [[reading_time:14, publication:The Startup, link:https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a, responses:3, vector:[0.0039737443, 0.003020432, -6.188639E-4, 0.03913546, -8.9768134E-4, 0.021238148, 0.014454661, 0.025742851, 0.0022063442, -0.051130578, -0.0010897011, 0.038453076, 0.011593861, -0.046852026, 0.0064208573, 0.010120634, -0.023668954, 0.041229635, 0.008146385, -0.023367394, -0.029139837, -0.023222756, -0.016318452, -0.076287195, 0.035851076, 0.044926822, 0.0037161126, 0.024241403, -0.024827085, -0.012770665, 0.0018561907, 0.047921725, -0.030281143, -0.031129083, -0.038785066, -0.048101038, 0.008587025, -0.0036647166, -0.013043694, -0.044786748, 0.0015023423, -0.02393749, 0.027479807, 0.03407725, -0.011031249, -0.016997544, -0.11140522, -0.0012403706, -0.0116099715, 0.010803051, -0.042221617, 0.071550176, 0.029078195, 0.02936992, -0.016870253, 0.024187507, -0.0064322287, -0.0018420032, -0.010838795, 0.005448679, 0.042049922, 0.015199081, -0.00612731, 0.04651738, -4.543191E-4, 0.0018536948, -0.021741537, 0.042303678, -0.016282137, 0.031659417, 0.03347323, -0.05687932, -0.04784338, 0.047716856, -0.04012971, -0.024161791, -0.015605036, 0.01364975, 0.023177518, 0.01887649, 0.040253926, 0.021470893, 0.09768697, -0.032784328, 0.03222924, 0.03559948, -0.0028161134, 0.03687029, -0.013814558, -0.009652667, 0.021593641, -0.05943368, 0.026042875, 0.028282177, 0.007687183, 0.020226369, -0.0016281981, -0.008526736, 0.025751492, -0.003104332, -0.0061201006, 0.02595484, -0.021449475, -0.014293144, -0.029449001, 0.0020593074, -0.034804724, -0.022180008, -0.006285631, 0.013707787, -0.037423145, -0.009107584, -0.009432007, 0.010610414, -0.056727782, 0.0233536, -0.0060632285, 0.055170756, 0.015278058, -0.0074357074, 0.038479842, 0.07088861, 0.06036749, 0.015448346, 0.024050185, 0.015041763, 0.022847643, 0.018183885, 0.047313735, 0.026332416, -0.002408156, 0.04366259, 0.0057872427, -0.02127312, -0.020023786, -0.02634593, 0.028322363, 0.020426102, 0.026535949, 0.031108813, -0.03800821, -0.016794013, -0.0022405083, -0.028002623, 0.013555326, -0.020880137, -0.040561143, -0.024379047, -0.058721762, 0.009864129, -0.0060728258, 0.019879017, -0.027474888, 0.004868736, -0.01618118, 0.07627549, -0.009566949, -0.0362882, -0.0013981637, 3.6380984E-4, 0.025276562, 0.061608184, -0.048915602, -0.043986745, -0.0055106534, -0.03694729, 0.0018953384, 0.0063064545, 0.010227479, -0.0068412647, -0.011093203, -0.0093250135, -0.019277632, 0.026233265, 0.009567129, 0.008851426, 0.01565083, 0.02383659, 0.058387164, 0.007578936, -0.039052304, -0.020484922, 0.041768145, -0.038177934, 0.032690376, -0.0088214185, 0.040147487, 0.015718441, -0.026545178, -0.023138655, -0.055501554, -0.06176257, 0.01347796, -0.043426935, 0.09015595, -0.05628449, -0.03414897, 0.077925004, 0.039848283, 0.004569112, -0.021932716, -0.008975595, 0.032322578, 0.0011694044, -0.008094395, 0.013524566, -0.010504273, -0.008891303, -0.047701288, -0.003401436, -0.006817342, -0.0131783355, 0.013252014, -0.02291292, 0.005158376, -0.005217175, -0.009027178, 0.01674159, 0.0062977904, -0.0021274886, 0.1001569, -0.010145763, 0.00398632, 0.016642937, -0.04561657, -0.00593123, 0.068103015, 0.022859594, 0.055262484, -0.07711217, -0.013573, 0.00793467, -0.00206392, -0.055678505, -0.0027695482, -0.008978216, 0.023205645, 0.010584002, 0.036940057, 0.0055925045, -0.03128972, 0.008169264, 0.002143065, 0.0054644635, 0.007751248, -0.049370192, -0.017171964, 0.012460248, -0.039616507, -0.008905116, -0.029277697, 0.0316178, 0.007783805, -0.046197712, -0.02389374, 0.03949501, 0.012882567, -0.050312858, -0.0025155935, 0.05531826, -0.0060943947, 0.040836193, -0.0057800347, 0.0639973, 0.009591699, -0.05218372, -0.03645041, -0.05206777, 0.053644467, 0.071591765, 0.008294372, 0.0028174156, 0.0048404625, 0.013453085, 0.022866488, -0.06087804, 0.023474297, 0.027761765, -0.040729735, -0.009113696, 0.020109607, 0.010756393, 0.066961266, -0.03530044, -0.0013631586, -0.034647003, 0.03281657, -0.055955954, -0.043759737, -0.014830927, -0.0012740378, 0.053068876, 0.0041171, -0.009249764, 0.04119711, -0.0022221678, 0.008220726, 0.011716879, 0.04751782, -0.021161754, -0.0034890848, 0.017168297, 0.018082855, -0.054346565, 0.01130623, -0.014759945, -0.020925378, -0.011718521, -0.5058962, -0.016079627, -0.05195381, -0.065540574, -0.024114326, 0.0045832954, 0.05303542, -0.040304415, -0.001513657, 0.019103762, 0.008554532, 0.053032935, -0.00915671, -0.009092158, -0.009177251, 0.028371146, 0.028055405, -0.008145964, 0.011927662, 0.027140373, -0.04623, -0.026633251, -1.9752477E-4, 0.045192443, 0.02449006, 0.013997616, -0.06873905, 0.027910134, 0.003347047, 0.0013439717, 0.034202795, -0.015585498, -0.055015743, 1.6024683E-4, -0.015891591, -0.021741774, 0.025558911, 0.011084363, 0.014056266, -0.018982887, 0.0016998561, 0.048058353, 0.007829392, 0.0018672302, 0.041273497, -0.039120134, 3.624535E-4, -0.0011298673, -0.006326307, 0.032140832, -0.037109844, -4.1404666E-4, -0.0084530655, 0.0077904286, 0.012144728, -0.03869803, 0.047453202, 0.04121898, -0.032067478, 0.022875102, 0.07410041, -0.024542922, -0.036993448, -0.039777547, 0.0094557, -0.025156112, -0.035101883, -0.048749104, -0.0045563756, -0.006167684, -0.048193872, 0.0017396678, 0.019029584, -0.061944872, 0.050563816, -0.021848006, 0.008817201, 0.010323988, 0.020705162, 0.018577144, -0.048376583, -0.041189134, -0.0047300197, -0.00836772, -0.0052992413, -0.035920832, -0.029942693, 0.028925791, 0.030509083, 0.00738733, 0.124217756, -0.04977689, 0.023752924, 0.027065763, 0.057005685, 0.03732509, 0.069008276, -0.022444589, 0.0035944746, -0.041807327, 0.028195074, -0.011788701, -0.0034672262, -0.014074685, -0.009594197, 0.0018883395, -0.024706602, 0.015436245, 0.054175258, -0.03945695, -0.029252004, -0.006543419, -0.064558335, 0.00635337, 0.014417143, 0.013945442, -0.009091861, 5.249867E-4, 0.010337455, -0.009454559, -0.035721924, -0.022774082, -0.031336624, 0.0416093, -0.038794383, -0.008280955, 0.033273164, 0.013371025, -0.0129316645, -0.012368203, 0.022565264, -0.0012145197, 0.01841233, -0.002506566, 0.02414115, -0.047187645, -0.0046407585, 0.032652196, 0.053410284, -0.0365266, -0.0063986774, 0.023949109, 0.010821287, 0.013743939, 0.04780526, 0.008855356, -0.028712442, 0.010830425, -0.0039607813, 0.022576412, -0.009031381, -0.04623192, 0.0140510835, 0.009459673, -0.0033195931, 0.02447672, 0.025940116, 0.015182389, -0.03030254, -0.042433836, 0.043204527, -0.009033531, -0.09083154, -3.1694994E-4, 0.030156016, -0.030984623, -0.031595454, 0.002228252, -0.003698093, -0.006667667, 0.023925511, -0.045642223, -0.0054936595, -0.020487037, -0.011321221, -0.008023139, -0.0022487226, 0.016701572, -0.004573161, -0.0076336027, -0.007048531, -0.03015078, 0.03309948, 0.028124114, 0.014135684, 0.009500284, -0.0033359944, 0.017857917, 0.034960285, 0.005099243, 0.021408139, -0.0065242476, 0.03559723, 0.002711937, -0.028567772, -0.044500142, 0.025019938, 0.020869007, -0.023909464, -0.06710058, -0.04702157, -0.012781483, -0.03416069, 0.009026116, 0.016877936, -0.015858926, 0.0432861, 0.029753765, -0.016831696, -0.04155155, -0.056399744, -0.0632834, -0.030745849, -0.023681961, -0.02031578, -0.006460313, 0.009156013, -0.03944369, -0.05559119, 0.011855634, 0.0043062386, -0.026944742, -0.05057878, -0.033390008, 0.0012567446, 0.00859911, 0.031703074, -0.024424741, 0.011032831, -0.03794956, -0.0058376114, 0.050361525, 0.02664676, 0.035737876, 9.327007E-5, -0.0036208995, -0.07552407, 0.008858675, 0.06525408, -0.03309569, -0.019470563, 0.029411364, -0.023945473, -0.02741788, 0.025530888, -0.004085135, -0.023078475, -0.05026493, -0.047704235, 0.0063968995, 0.05705471, -0.039139755, -0.016409663, -0.050894372, 0.0229268, 0.024625905, -0.020794865, -0.018509613, -0.0286961, 0.02955773, -0.012118265, 0.007289678, -0.017907536, -9.589148E-5, -0.014387568, 0.01077215, -0.0057492387, -0.070152126, 0.011277187, -0.06932382, 0.0064085126, -0.002137664, 0.020172758, 0.018431762, 0.02997658, -0.035457257, -0.027747527, 0.023011072, 0.0044074785, 0.022357704, -0.011456843, -0.014637661, 0.028279554, -0.018716238, 0.03532025, 0.003035383, 0.028103184, -0.026085945, -0.012884989, 0.024874324, 0.0021957066, 0.038837254, -0.013919544, 0.021001196, -0.006413539, 0.03233318, 0.054959916, 0.002057221, -0.008223584, 0.02089053, 0.031112751, 0.06568271, 0.07437756, -0.032314405, 0.0063390816, 0.021723315, 0.009370877, -0.019755581, -0.009407542, 0.008717818, -0.012684821, -0.015996328, 0.019934947, 0.05044348, -0.03040645, -0.0076975147, 0.013472682, -0.04469578, 0.059487574, 0.0077290037, -0.0062347664, 0.017982362, 0.047718633, -0.029480672, -0.049545363, 0.019446652, -0.012957434, 0.021308606, 0.0034625032, 0.016427478, 0.062390056, 0.074961245, -0.0017664412, -0.0374053, 0.006156502, -0.023779914, 0.022087418, -0.0018362328, 0.036417086, -0.031101517, 0.03615886, 0.0011009142, -0.009626947, 0.0020367356, -0.024929306, 0.05029518, 0.01021691, 0.02706921, -0.055606462, 0.050653223, -0.020299971, 0.022907283, -0.0078015765, 0.0013674265, -0.016805433, -0.005469926, -0.010843944, 0.024753453, 0.0036051865, 0.021984477, 0.019608894, 0.056622125, 0.0168941, 5.6558E-5, -0.037705585, 0.010488043, 0.055042468, -0.012437194, 0.017340036, 0.008242167, -0.032131612, 0.046392333, -0.050994188, 0.013369047, -0.031277575, -0.057127792, 0.026656566, 0.012472042, 0.03171042, 0.0155100925, -0.014371186, -0.0074701216, -0.03548123, -0.019203192, 0.020641252, 0.037671227, -0.050689723, 0.012942378, -0.010964106, -0.009750868, -0.032187466, -0.030583298, 0.031428117, -0.030721085, -0.009199497, -0.025520792, -0.016073162, 0.03206433, 0.035993624, 0.005494608, -0.02187293, 0.026701238, -0.013911904, -0.0024700807, -0.013015862, 0.041535176, -0.032522723, 0.0139125, -0.043542273, -0.02516857, 0.0098249065, 0.018275063, 0.0026843066, 0.009207035, -0.0024260108, 0.014267937, 0.04338487, -0.006479658, 0.026931532, -0.013153546, -0.032537226, -0.012409599, 0.03284542, -0.014427827, 9.0851216E-4, 0.034384534, 0.0022898254, 0.013645849, -0.0264273, 0.04843669, -0.037393637, -0.026378367, -0.03421471, 0.023813134, -0.037445217, -0.018552892, 0.006716699, 0.033491645, 0.046465095, -0.024037533, -0.027822671, 0.017161718, -0.0103931315, 0.043290958, -0.04675785, 0.045929935, -0.07786675, -0.033439267, -0.07128675, 0.009419761, -0.0013642106, -0.022022273, -0.019086521, -0.0038238734, -7.658402E-4, -0.0077877254, 0.035752963, -0.031361237, -0.0020773965, 0.021713957], id:1, title:Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else, claps:726]]
}
}# Retrieve a single entity by ID
# Go to Zilliz Cloud console, and look for the ID of an entity
# Fill the ID in the request body
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/get" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"id\": 442169042773492589,
\"outputFields\": [\"id\", \"title\"]
}"
# Output
#
# {
# "code": 200,
# "data": [
# {
# "id": 442147653350117440,
# "title": "The Reported Mortality Rate of Coronavirus Is Not Important"
# }
# ]
# }根据 Entity ID 获取多个 Entity
- Python
- NodeJS
- Java
- Bash
# Retrieve a set of entities by their IDs
res = client.get(
collection_name=COLLECTION_NAME,
ids=[1, 2, 3]
)
print(res[0])
# Output
#
# [
# {
# "id": 1,
# "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else",
# "link": "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
# "reading_time": 14,
# "publication": "The Startup",
# "claps": 726,
# "responses": 3,
# "vector": [
# 0.0039737443,
# 0.003020432,
# -0.0006188639,
# 0.03913546,
# -0.00089768134,
# 0.021238148,
# 0.014454661,
# 0.025742851,
# 0.0022063442,
# -0.051130578,
# -0.0010897011,
# 0.038453076,
# 0.011593861,
# -0.046852026,
# 0.0064208573,
# 0.010120634,
# -0.023668954,
# 0.041229635,
# 0.008146385,
# -0.023367394,
# "(748 more items hidden)"
# ]
# }
# ]async function main () {
// (Continued)
// Get a set of entities by their IDs
res = await client.get({
collection_name: collectionName,
ids: [0, 1, 2],
output_fields: ['id', 'title']
});
console.log(res)
// Output
//
// {
// status: { error_code: 'Success', reason: '', code: 0 },
// data: [
// { id: '0', '$meta': [Object] },
// { id: '1', '$meta': [Object] },
// { id: '2', '$meta': [Object] }
// ]
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// List<String> ids = Lists.newArrayList("1");
List<String> ids = Lists.newArrayList("1", "2", "3");
GetIdsParam getParam = GetIdsParam.newBuilder()
.withCollectionName(collectionName)
.withPrimaryIds(ids)
.withOutputFields(Lists.newArrayList("*"))
.build();
R<GetResponse> getRes = client.get(getParam);
if (getRes.getException() != null) {
System.err.println("Failed to get: " + getRes.getException().getMessage());
return;
}
List<RowRecord> getResults = new ArrayList<>();
for (QueryResultsWrapper.RowRecord rowRecord: getRes.getData().getRowRecords()) {
getResults.add(rowRecord);
}
System.out.println(getResults);
// Output:
// [[reading_time:14, publication:The Startup, link:https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a, responses:3, vector:[0.0039737443, 0.003020432, -6.188639E-4, 0.03913546, -8.9768134E-4, 0.021238148, 0.014454661, 0.025742851, 0.0022063442, -0.051130578, -0.0010897011, 0.038453076, 0.011593861, -0.046852026, 0.0064208573, 0.010120634, -0.023668954, 0.041229635, 0.008146385, -0.023367394, -0.029139837, -0.023222756, -0.016318452, -0.076287195, 0.035851076, 0.044926822, 0.0037161126, 0.024241403, -0.024827085, -0.012770665, 0.0018561907, 0.047921725, -0.030281143, -0.031129083, -0.038785066, -0.048101038, 0.008587025, -0.0036647166, -0.013043694, -0.044786748, 0.0015023423, -0.02393749, 0.027479807, 0.03407725, -0.011031249, -0.016997544, -0.11140522, -0.0012403706, -0.0116099715, 0.010803051, -0.042221617, 0.071550176, 0.029078195, 0.02936992, -0.016870253, 0.024187507, -0.0064322287, -0.0018420032, -0.010838795, 0.005448679, 0.042049922, 0.015199081, -0.00612731, 0.04651738, -4.543191E-4, 0.0018536948, -0.021741537, 0.042303678, -0.016282137, 0.031659417, 0.03347323, -0.05687932, -0.04784338, 0.047716856, -0.04012971, -0.024161791, -0.015605036, 0.01364975, 0.023177518, 0.01887649, 0.040253926, 0.021470893, 0.09768697, -0.032784328, 0.03222924, 0.03559948, -0.0028161134, 0.03687029, -0.013814558, -0.009652667, 0.021593641, -0.05943368, 0.026042875, 0.028282177, 0.007687183, 0.020226369, -0.0016281981, -0.008526736, 0.025751492, -0.003104332, -0.0061201006, 0.02595484, -0.021449475, -0.014293144, -0.029449001, 0.0020593074, -0.034804724, -0.022180008, -0.006285631, 0.013707787, -0.037423145, -0.009107584, -0.009432007, 0.010610414, -0.056727782, 0.0233536, -0.0060632285, 0.055170756, 0.015278058, -0.0074357074, 0.038479842, 0.07088861, 0.06036749, 0.015448346, 0.024050185, 0.015041763, 0.022847643, 0.018183885, 0.047313735, 0.026332416, -0.002408156, 0.04366259, 0.0057872427, -0.02127312, -0.020023786, -0.02634593, 0.028322363, 0.020426102, 0.026535949, 0.031108813, -0.03800821, -0.016794013, -0.0022405083, -0.028002623, 0.013555326, -0.020880137, -0.040561143, -0.024379047, -0.058721762, 0.009864129, -0.0060728258, 0.019879017, -0.027474888, 0.004868736, -0.01618118, 0.07627549, -0.009566949, -0.0362882, -0.0013981637, 3.6380984E-4, 0.025276562, 0.061608184, -0.048915602, -0.043986745, -0.0055106534, -0.03694729, 0.0018953384, 0.0063064545, 0.010227479, -0.0068412647, -0.011093203, -0.0093250135, -0.019277632, 0.026233265, 0.009567129, 0.008851426, 0.01565083, 0.02383659, 0.058387164, 0.007578936, -0.039052304, -0.020484922, 0.041768145, -0.038177934, 0.032690376, -0.0088214185, 0.040147487, 0.015718441, -0.026545178, -0.023138655, -0.055501554, -0.06176257, 0.01347796, -0.043426935, 0.09015595, -0.05628449, -0.03414897, 0.077925004, 0.039848283, 0.004569112, -0.021932716, -0.008975595, 0.032322578, 0.0011694044, -0.008094395, 0.013524566, -0.010504273, -0.008891303, -0.047701288, -0.003401436, -0.006817342, -0.0131783355, 0.013252014, -0.02291292, 0.005158376, -0.005217175, -0.009027178, 0.01674159, 0.0062977904, -0.0021274886, 0.1001569, -0.010145763, 0.00398632, 0.016642937, -0.04561657, -0.00593123, 0.068103015, 0.022859594, 0.055262484, -0.07711217, -0.013573, 0.00793467, -0.00206392, -0.055678505, -0.0027695482, -0.008978216, 0.023205645, 0.010584002, 0.036940057, 0.0055925045, -0.03128972, 0.008169264, 0.002143065, 0.0054644635, 0.007751248, -0.049370192, -0.017171964, 0.012460248, -0.039616507, -0.008905116, -0.029277697, 0.0316178, 0.007783805, -0.046197712, -0.02389374, 0.03949501, 0.012882567, -0.050312858, -0.0025155935, 0.05531826, -0.0060943947, 0.040836193, -0.0057800347, 0.0639973, 0.009591699, -0.05218372, -0.03645041, -0.05206777, 0.053644467, 0.071591765, 0.008294372, 0.0028174156, 0.0048404625, 0.013453085, 0.022866488, -0.06087804, 0.023474297, 0.027761765, -0.040729735, -0.009113696, 0.020109607, 0.010756393, 0.066961266, -0.03530044, -0.0013631586, -0.034647003, 0.03281657, -0.055955954, -0.043759737, -0.014830927, -0.0012740378, 0.053068876, 0.0041171, -0.009249764, 0.04119711, -0.0022221678, 0.008220726, 0.011716879, 0.04751782, -0.021161754, -0.0034890848, 0.017168297, 0.018082855, -0.054346565, 0.01130623, -0.014759945, -0.020925378, -0.011718521, -0.5058962, -0.016079627, -0.05195381, -0.065540574, -0.024114326, 0.0045832954, 0.05303542, -0.040304415, -0.001513657, 0.019103762, 0.008554532, 0.053032935, -0.00915671, -0.009092158, -0.009177251, 0.028371146, 0.028055405, -0.008145964, 0.011927662, 0.027140373, -0.04623, -0.026633251, -1.9752477E-4, 0.045192443, 0.02449006, 0.013997616, -0.06873905, 0.027910134, 0.003347047, 0.0013439717, 0.034202795, -0.015585498, -0.055015743, 1.6024683E-4, -0.015891591, -0.021741774, 0.025558911, 0.011084363, 0.014056266, -0.018982887, 0.0016998561, 0.048058353, 0.007829392, 0.0018672302, 0.041273497, -0.039120134, 3.624535E-4, -0.0011298673, -0.006326307, 0.032140832, -0.037109844, -4.1404666E-4, -0.0084530655, 0.0077904286, 0.012144728, -0.03869803, 0.047453202, 0.04121898, -0.032067478, 0.022875102, 0.07410041, -0.024542922, -0.036993448, -0.039777547, 0.0094557, -0.025156112, -0.035101883, -0.048749104, -0.0045563756, -0.006167684, -0.048193872, 0.0017396678, 0.019029584, -0.061944872, 0.050563816, -0.021848006, 0.008817201, 0.010323988, 0.020705162, 0.018577144, -0.048376583, -0.041189134, -0.0047300197, -0.00836772, -0.0052992413, -0.035920832, -0.029942693, 0.028925791, 0.030509083, 0.00738733, 0.124217756, -0.04977689, 0.023752924, 0.027065763, 0.057005685, 0.03732509, 0.069008276, -0.022444589, 0.0035944746, -0.041807327, 0.028195074, -0.011788701, -0.0034672262, -0.014074685, -0.009594197, 0.0018883395, -0.024706602, 0.015436245, 0.054175258, -0.03945695, -0.029252004, -0.006543419, -0.064558335, 0.00635337, 0.014417143, 0.013945442, -0.009091861, 5.249867E-4, 0.010337455, -0.009454559, -0.035721924, -0.022774082, -0.031336624, 0.0416093, -0.038794383, -0.008280955, 0.033273164, 0.013371025, -0.0129316645, -0.012368203, 0.022565264, -0.0012145197, 0.01841233, -0.002506566, 0.02414115, -0.047187645, -0.0046407585, 0.032652196, 0.053410284, -0.0365266, -0.0063986774, 0.023949109, 0.010821287, 0.013743939, 0.04780526, 0.008855356, -0.028712442, 0.010830425, -0.0039607813, 0.022576412, -0.009031381, -0.04623192, 0.0140510835, 0.009459673, -0.0033195931, 0.02447672, 0.025940116, 0.015182389, -0.03030254, -0.042433836, 0.043204527, -0.009033531, -0.09083154, -3.1694994E-4, 0.030156016, -0.030984623, -0.031595454, 0.002228252, -0.003698093, -0.006667667, 0.023925511, -0.045642223, -0.0054936595, -0.020487037, -0.011321221, -0.008023139, -0.0022487226, 0.016701572, -0.004573161, -0.0076336027, -0.007048531, -0.03015078, 0.03309948, 0.028124114, 0.014135684, 0.009500284, -0.0033359944, 0.017857917, 0.034960285, 0.005099243, 0.021408139, -0.0065242476, 0.03559723, 0.002711937, -0.028567772, -0.044500142, 0.025019938, 0.020869007, -0.023909464, -0.06710058, -0.04702157, -0.012781483, -0.03416069, 0.009026116, 0.016877936, -0.015858926, 0.0432861, 0.029753765, -0.016831696, -0.04155155, -0.056399744, -0.0632834, -0.030745849, -0.023681961, -0.02031578, -0.006460313, 0.009156013, -0.03944369, -0.05559119, 0.011855634, 0.0043062386, -0.026944742, -0.05057878, -0.033390008, 0.0012567446, 0.00859911, 0.031703074, -0.024424741, 0.011032831, -0.03794956, -0.0058376114, 0.050361525, 0.02664676, 0.035737876, 9.327007E-5, -0.0036208995, -0.07552407, 0.008858675, 0.06525408, -0.03309569, -0.019470563, 0.029411364, -0.023945473, -0.02741788, 0.025530888, -0.004085135, -0.023078475, -0.05026493, -0.047704235, 0.0063968995, 0.05705471, -0.039139755, -0.016409663, -0.050894372, 0.0229268, 0.024625905, -0.020794865, -0.018509613, -0.0286961, 0.02955773, -0.012118265, 0.007289678, -0.017907536, -9.589148E-5, -0.014387568, 0.01077215, -0.0057492387, -0.070152126, 0.011277187, -0.06932382, 0.0064085126, -0.002137664, 0.020172758, 0.018431762, 0.02997658, -0.035457257, -0.027747527, 0.023011072, 0.0044074785, 0.022357704, -0.011456843, -0.014637661, 0.028279554, -0.018716238, 0.03532025, 0.003035383, 0.028103184, -0.026085945, -0.012884989, 0.024874324, 0.0021957066, 0.038837254, -0.013919544, 0.021001196, -0.006413539, 0.03233318, 0.054959916, 0.002057221, -0.008223584, 0.02089053, 0.031112751, 0.06568271, 0.07437756, -0.032314405, 0.0063390816, 0.021723315, 0.009370877, -0.019755581, -0.009407542, 0.008717818, -0.012684821, -0.015996328, 0.019934947, 0.05044348, -0.03040645, -0.0076975147, 0.013472682, -0.04469578, 0.059487574, 0.0077290037, -0.0062347664, 0.017982362, 0.047718633, -0.029480672, -0.049545363, 0.019446652, -0.012957434, 0.021308606, 0.0034625032, 0.016427478, 0.062390056, 0.074961245, -0.0017664412, -0.0374053, 0.006156502, -0.023779914, 0.022087418, -0.0018362328, 0.036417086, -0.031101517, 0.03615886, 0.0011009142, -0.009626947, 0.0020367356, -0.024929306, 0.05029518, 0.01021691, 0.02706921, -0.055606462, 0.050653223, -0.020299971, 0.022907283, -0.0078015765, 0.0013674265, -0.016805433, -0.005469926, -0.010843944, 0.024753453, 0.0036051865, 0.021984477, 0.019608894, 0.056622125, 0.0168941, 5.6558E-5, -0.037705585, 0.010488043, 0.055042468, -0.012437194, 0.017340036, 0.008242167, -0.032131612, 0.046392333, -0.050994188, 0.013369047, -0.031277575, -0.057127792, 0.026656566, 0.012472042, 0.03171042, 0.0155100925, -0.014371186, -0.0074701216, -0.03548123, -0.019203192, 0.020641252, 0.037671227, -0.050689723, 0.012942378, -0.010964106, -0.009750868, -0.032187466, -0.030583298, 0.031428117, -0.030721085, -0.009199497, -0.025520792, -0.016073162, 0.03206433, 0.035993624, 0.005494608, -0.02187293, 0.026701238, -0.013911904, -0.0024700807, -0.013015862, 0.041535176, -0.032522723, 0.0139125, -0.043542273, -0.02516857, 0.0098249065, 0.018275063, 0.0026843066, 0.009207035, -0.0024260108, 0.014267937, 0.04338487, -0.006479658, 0.026931532, -0.013153546, -0.032537226, -0.012409599, 0.03284542, -0.014427827, 9.0851216E-4, 0.034384534, 0.0022898254, 0.013645849, -0.0264273, 0.04843669, -0.037393637, -0.026378367, -0.03421471, 0.023813134, -0.037445217, -0.018552892, 0.006716699, 0.033491645, 0.046465095, -0.024037533, -0.027822671, 0.017161718, -0.0103931315, 0.043290958, -0.04675785, 0.045929935, -0.07786675, -0.033439267, -0.07128675, 0.009419761, -0.0013642106, -0.022022273, -0.019086521, -0.0038238734, -7.658402E-4, -0.0077877254, 0.035752963, -0.031361237, -0.0020773965, 0.021713957], id:1, title:Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else, claps:726]]
}
}# Retrieve a set of entities by their IDs
# Go to Zilliz Cloud console, and look for the ID of some entities
# Fill the IDs in the request body
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/get" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"id\": [442169042773492591, 442169042773492593, 442169042773492595],
\"outputFields\": [\"id\", \"title\"]
}"
# Output
#
# {
# "code": 200,
# "data": [
# {
# "id": 442147653350117570,
# "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else"
# },
# {
# "id": 442147653350117570,
# "title": "How Can We Best Switch in Python?"
# },
# {
# "id": 442147653350117570,
# "title": "Maternity leave shouldn’t set women back"
# }
# ]
# }
删除 Entity
您可以根据 ID 从 Collection 中一次性删除单个或多个 Entity。 以下为示例。
根据 Entity ID 删除单个 Entity
- Python
- NodeJS
- Java
- Bash
# Delete a single entity
res = client.delete(
collection_name=COLLECTION_NAME,
pks=0
)
print(res)
# Output
#
# [0]async function main () {
// (Continued)
// Delete an entity by its ID
res = await client.delete({
collection_name: collectionName,
ids: [0]
});
console.log(res);
// Output
//
// {
// succ_index: [],
// err_index: [],
// status: { error_code: 'Success', reason: '', code: 0 },
// IDs: {},
// acknowledged: false,
// insert_cnt: '0',
// delete_cnt: '1',
// upsert_cnt: '0',
// timestamp: '445337093833752585'
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
List<String> ids = Lists.newArrayList("1");
// List<String> ids = Lists.newArrayList("1", "2", "3");
DeleteIdsParam deleteParam = DeleteIdsParam.newBuilder()
.withCollectionName(collectionName)
.withPrimaryIds(ids)
.build();
R<DeleteResponse> deleteRes = client.delete(deleteParam);
if (deleteRes.getException() != null) {
System.err.println("Failed to delete: " + deleteRes.getException().getMessage());
return;
}
System.out.println("Successfully deleted " + deleteRes.getData().toString() + " records");
// Output:
// Successfully deleted DeleteResponse(deleteIds=[]) records }
}# Deletes an entity
# Go to Zilliz Cloud console, and look for the ID of an entity
# Fill the ID in the request body
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/delete" \
--header "Authorization: Bearer ${API_KEY}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"id\": 442169042773492589
}"
# Output
#
# {
# "code": 200,
# "data": {}
# }根据 Entity ID 删除多个 Entity
- Python
- NodeJS
- Java
- Bash
# Delete a set of entities in a batch
res = client.delete(
collection_name=COLLECTION_NAME,
pks=[1, 2, 3]
)
print(res)
# Output
#
# [1, 2, 3]async function main () {
// (Continued)
// Delete a set of entities by their IDs
res = await client.delete({
collection_name: collectionName,
ids: [1, 2, 3]
});
console.log(res);
// Output
//
// {
// succ_index: [],
// err_index: [],
// status: { error_code: 'Success', reason: '', code: 0 },
// IDs: {},
// acknowledged: false,
// insert_cnt: '0',
// delete_cnt: '3',
// upsert_cnt: '0',
// timestamp: '445337093833752590'
// }
//
}public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
// List<String> ids = Lists.newArrayList("1");
List<String> ids = Lists.newArrayList("1", "2", "3");
DeleteIdsParam deleteParam = DeleteIdsParam.newBuilder()
.withCollectionName(collectionName)
.withPrimaryIds(ids)
.build();
R<DeleteResponse> deleteRes = client.delete(deleteParam);
if (deleteRes.getException() != null) {
System.err.println("Failed to delete: " + deleteRes.getException().getMessage());
return;
}
System.out.println("Successfully deleted " + deleteRes.getData().toString() + " records");
// Output:
// Successfully deleted DeleteResponse(deleteIds=[]) records }
}# Delete a set of entities in a batch
# Go to Zilliz Cloud console, and look for the ID of some entities
# Fill the IDs in the request body
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/delete" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\",
\"id\": [442169042773492591, 442169042773492593, 442169042773492595]
}"
# Output
#
# {
# "code": 200,
# "data": {}
# }
删除 Collection
您可以用集群中删除不再使用的 Collection。
- Python
- NodeJS
- Java
- Bash
# Drop a collection
res = client.drop_collection(
collection_name=COLLECTION_NAME
)
print(res)
# Output
#
# None
async function main () {
// (Continued)
// Drop collection
res = await client.dropCollection({
collection_name: collectionName
});
console.log(res);
// Output
//
// { error_code: 'Success', reason: '', code: 0 }
//
}
public class QuickStartDemo
{
public static void main( String[] args )
{
// (Continued)
DropCollectionParam dropCollectionParam = DropCollectionParam.newBuilder()
.withCollectionName(collectionName)
.build();
R<RpcStatus> dropCollection = client.dropCollection(dropCollectionParam);
if (dropCollection.getException() != null) {
System.err.println("Failed to drop collection: " + dropCollection.getException().getMessage());
return;
}
System.out.println("Successfully dropped collection " + collectionName);
// Output:
// Successfully dropped collection medium_articles
}
# Drop a collection
# Replace uri and API key with your own
curl --request POST \
--url "${PUBLIC_ENDPOINT}/v1/vector/collections/drop" \
--header "Authorization: Bearer ${TOKEN}" \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data "{
\"collectionName\": \"medium_articles_2020\"
}"
# Output
#
# {
# "code": 200,
# "data": {}
# }