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Download MongoDB 8.0.5 Date released: 22 Feb 2025 (one month ago) Download MongoDB 8.0.4 Date released: 07 Dec 2024 (4 months ago) Download MongoDB 8.0.1 Date released: 10 Oct 2024 (6 months ago) Download MongoDB 8.0.0 Date released: 23 Sep 2024 (6 months ago) Download MongoDB 7.0.14 Date released: 13 Sep 2024 (6 months ago) Download MongoDB 6.0.17 Date released: 09 Sep 2024 (7 months ago) Download MongoDB 6.0.4 Date released: 26 Jan 2023 (2 years ago) Download MongoDB 5.0.15 Date released: 26 Jan 2023 (2 years ago) Download MongoDB 5.0.5 Date released: 25 Jan 2022 (3 years ago) Download MongoDB 5.0.2 Date released: 10 Sep 2021 (4 years ago) Download MongoDB 5.0.1 Date released: 23 Jul 2021 (4 years ago) Download MongoDB 4.4.19 Date released: 31 Jan 2023 (2 years ago) Download MongoDB 4.4.7 Date released: 22 Jul 2021 (4 years ago) Download MongoDB 4.4.6 Date released: 03 Jun 2021 (4 years ago) Download MongoDB 4.4.5 Date released: 09 Apr 2021 (4 years ago) Download MongoDB 4.4.2 Date released: 18 Nov 2020 (4 years ago) Download MongoDB 4.2.13 Date released: 09 Apr 2021 (4 years ago) Download MongoDB 4.2.11 Date released: 18 Nov 2020 (4 years ago) Download MongoDB 4.2.7 Date released: 26 May 2020 (5 years ago) Download MongoDB 4.2.5 Date released: 26 Mar 2020 (5 years ago) You can run MongoDB community Edition as a Docker container using theofficial MongoDB Community image. Using a Docker image for running yourMongoDB deployment is useful to:Stand up a deployment quickly.Help manage configuration files.Test different features on multiple versions of MongoDB.This page describes the Docker install instructions for MongoDB Communityedition. The MongoDB Enterprise Docker imageand MongoDB Enterprise Kubernetes Operatorare recommended for production deployments and should be used together.For enterprise instructions, see Install MongoDB Enterprise with Docker.This procedure uses the official MongoDB community image, whichis maintained by MongoDB.A full description of Docker is beyondthe scope of this documentation. This page assumes prior knowledge ofDocker.MongoDB 5.0+ Docker images require AVX supporton your system. If your system does not support AVX, you canuse a docker image of MongoDB prior to version 5.0.WarningVersions of MongoDB prior to 5.0 are EOL'd andno longer supported by MongoDB. These versions should be used fortesting purposes only.Install DockerInstall mongoshdocker pull mongodb/mongodb-community-server:latestdocker run --name mongodb -p 27017:27017 -d mongodb/mongodb-community-server:latestThe -p 27017:27017 in this command maps the container port to the host port.This allows you to connect to MongoDB with a localhost:27017 connection string.To install a specific version of MongoDB, specify the versionafter the : in the Docker run command. Docker pulls andruns the specified version.For example, to run MongoDB 5.0:docker run --name mongodb -p 27017:27017 -d mongodb/mongodb-community-server:5.0-ubuntu2004For a full list of available versions, seeTags.NoteAdd Command Line OptionsYou can use mongod command-line optionsby appending the command-line options to the docker run command.For example, consider the mongod --replSet docker command-line option:docker run -p 27017:27017 -d mongodb/mongodb-community-server:latest --name mongodb --replSet myReplicaSetTo check the status of your Docker container, run the followingcommand:The output from the ls command lists the following fields thatdescribe the running container:Container IDImageCommandCreatedStatusPortNamesCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMESc29db5687290 mongodb/mongodb-community-server:5.0-ubi8 "docker-entrypoint.s…" 4 seconds ago Up 3 seconds 27017/tcp mongoTo confirm your MongoDB instance is running, run the Hellocommand:db.runCommand( { hello: 1 })The result of this command returns a document describing yourmongod deployment:{ isWritablePrimary: true, topologyVersion: { processId: ObjectId("63c00e27195285e827d48908"), counter: Long("0")}, maxBsonObjectSize: 16777216, maxMessageSizeBytes: 48000000, maxWriteBatchSize: 100000, localTime: ISODate("2023-01-12T16:51:10.132Z"), logicalSessionTimeoutMinutes: 30, connectionId: 18, minWireVersion: 0, maxWireVersion: 20, readOnly: false, ok: 1}You can use Cosign to verifyMongoDB's signature for container images.This procedure is optional. You do not need to verify MongoDB'ssignature to run MongoDB on Docker or any other containerized platform.To verify MongoDB's container signature, perform the following steps:curl > server.pemRun the following command to verify the signature by tag:COSIGN_REPOSITORY=docker.io/mongodb/signatures cosign verify

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Try MongoDB Tools FreeDesktop tools, CLIs, utilities, and integrations that enhance your experience of working with MongoDB. ToolsMongoDB Shell DownloadMongoDB Shell is the quickest way to connect to (and work with) MongoDB. Easily query data, configure settings, and execute other actions with this modern, extensible command-line interface — replete with syntax highlighting, intelligent autocomplete, contextual help, and error messages.Compatibility Note: Red Hat Enterprise Linux (RHEL) 7, Amazon Linux 2, SUSE Linux Enterprise Server (SLES) 12, and Ubuntu 18.04 support is deprecated and might be removed in a later mongosh release.Note: MongoDB Shell is an open source (Apache 2.0), standalone product developed separately from the MongoDB Server.Learn morelink-chevron2.4.2check1.10.6Debian (10+) / Ubuntu (18.04+) arm64checkDebian (10+) / Ubuntu (18.04+) x64Linux arm64Linux ppc64leLinux s390xLinux x64MacOS M1 (11.0+)MacOS x64 (11.0+)RHEL / CentOS (7+) arm64RHEL / CentOS (7+) ppc64leRHEL / CentOS (7+) s390xRHEL / CentOS (7+) x64Windows x64 (10+)debcheckdeb with shared OpenSSL 1.1deb with shared OpenSSL 3ToolsMongoDB Compass Download (GUI)Easily explore and manipulate your database with Compass, the GUI for MongoDB. Intuitive and flexible, Compass provides detailed schema visualizations, real-time performance metrics, sophisticated querying abilities, and much more.Please note that MongoDB Compass comes in three versions: a full version with all features, a read-only version without write or delete capabilities, and an isolated edition, whose sole network connection is to the MongoDB instance.For more information, see our documentation pages.CompassThe full version of MongoDB Compass, with all features and capabilities.Readonly EditionThis version is limited strictly to read operations, with all write and delete capabilities removed.Isolated EditionThis version disables all network connections except the connection to the MongoDB instance.Learn morelink-chevron1.45.4 (Stable)check1.45.4 (Readonly Edition Stable)1.45.4 (Isolated Edition Stable)1.45.5-beta.0 (Beta)1.45.5-beta.0 (Readonly Edition Beta)1.45.5-beta.0 (Isolated Edition Beta)macOS 64-bit (10.15+)checkmacOS arm64 (M1) (11.0+)RedHat 64-bit (8+)Ubuntu 64-bit (16.04+)Windows 64-bit (10+)Windows 64-bit (10+) (MSI)Windows 64-bit (10+) (Zip)dmgcheckToolsMongoDB Atlas CLI DownloadThe Atlas CLI (mongodb-atlas) is a unified command line interface for managing MongoDB Atlas throughout the entire software development lifecycle, from your local environment all the way to the cloud. Use short, intuitive commands in your terminal to accomplish complex database management tasks in seconds. With the Atlas CLI, you can programmatically create and manage Atlas deployments, create Atlas Search and Vector Search indexes, and more locally and in the cloud.Learn morelink-chevron1.40.0checkDebian 10, 11, 12 / Ubuntu 20.04, 22.04, 24.04 (arm64)checkDebian 10, 11, 12 / Ubuntu 20.04, 22.04, 24.04 (x86_64)Linux (arm64)Linux (x86_64)macOS (arm64)macOS (x86_64)Microsoft WindowsRed Hat + CentOS 7, 8, 9 / SUSE 12 + MongoDB is an open-source, document-oriented database designed with both scalability and developer agility in mind. Instead of storing your data in tables and rows as you would with a relational database, in MongoDB, you store JSON-like documents with dynamic schemas.The goal of MongoDB is to bridge the gap between key-value stores (which are fast and scalable) and relational databases (which have rich functionality).Here, we will see how to install MongoDB on CentOS 7 / RHEL 7.Add MongoDB RepositoryMongoDB provides packages for CentOS / RHEL operating system from it’s dedicated repository.Add the MongoDB repository on your system.vi /etc/yum.repos.d/mongodb.repoAdd the below information to the above repo file.MongoDB 4.4[mongodb-org-4.4]name=MongoDB Repositorybaseurl= 4.2[mongodb-org-4.2]name=MongoDB Repositorybaseurl= 4.0[mongodb-org-4.0]name=MongoDB Repositorybaseurl= you have added MongoDB repository, run the following command to install MongoDB.yum -y install mongodb-orgmongob-org (Meta Package that installs below components)mongodb-org-serverServer Packagemongodb-org-mongosShared Daemonmongodb-org-shellCommand Line Interfacemongodb-org-toolsMongoDB Tools (Import, Export, Restore, Dump and other tools)Post InstallationAdmin UserMongoDB doesn’t come with any authentication mechanism to restrict user access. To improve security, create an admin user to manage databases.Access ControlAfter creating an admin user, edit the MongoDB configuration file to enable authentication.vi /etc/mongod.confThen, add below lines to the mongod.conf file.security: authorization: enabledDisable Huge PagesMongoDB recommends the huge pages be disabled as it causes the performance issue. So, go ahead and disable transparent huge pages.SELinuxWe recommend you to disable SELinux on CentOS 7 / RHEL 7. If you still want to use SELinux, then you need to customize the SELinux policy for MongoDB.Control MongoDB serviceTo start MongoDB service, run:systemctl start mongodTo check the status MongoDB service, run:systemctl status mongodOutput:● mongod.service - MongoDB Database Server Loaded: loaded (/usr/lib/systemd/system/mongod.service; enabled; vendor preset: disabled) Active: active (running) since Mon 2020-08-03 15:05:50 EDT; 2s ago Docs: Process: 1806 ExecStart=/usr/bin/mongod $OPTIONS (code=exited, status=0/SUCCESS) Process: 1804 ExecStartPre=/usr/bin/chmod 0755 /var/run/mongodb (code=exited, status=0/SUCCESS) Process: 1801 ExecStartPre=/usr/bin/chown mongod:mongod /var/run/mongodb (code=exited, status=0/SUCCESS) Process: 1800 ExecStartPre=/usr/bin/mkdir -p /var/run/mongodb (code=exited, status=0/SUCCESS) Main PID: 1809 (mongod) CGroup: /system.slice/mongod.service └─1809 /usr/bin/mongod -f /etc/mongod.confAug 03 15:05:49 centos7.itzgeek.local systemd[1]: Starting MongoDB Database Server...Aug 03 15:05:49 centos7.itzgeek.local mongod[1806]: about to fork child process, waiting until server is ready for connections.Aug 03 15:05:49 centos7.itzgeek.local mongod[1806]: forked process: 1809Aug 03 15:05:50 centos7.itzgeek.local systemd[1]: Started MongoDB Database Server.Check the MongoDB version.mongod --versionOutput:db version v4.4.0Build Info: { "version": "4.4.0", "gitVersion": "563487e100c4215e2dce98d0af2a6a5a2d67c5cf", "openSSLVersion": "OpenSSL 1.0.1e-fips 11 Feb 2013", "modules": [], "allocator": "tcmalloc", "environment": { "distmod": "rhel70", "distarch": "x86_64", "target_arch": "x86_64" }}Use netstat command to check whether the MongoDB is listening on port 27017.netstat -antup | grep

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소개 이 데이터베이스는 몇 가지 간단한 단계를 통해 모든 IP 주소의 원산지 국가를 결정하는 솔루션을 제공합니다. 먼저 웹 서버의 네트워킹 프로토콜 또는 서버 측 변수에서 IP 주소를 검색합니다. 다음으로, 데이터베이스 쿼리 속도를 높이기 위해 IP 주소를 10 진수 형식의 IP 번호로 변환합니다. 마지막으로 IP2Location ™ 데이터베이스에서 IP 번호를 역방향 조회하여 정확한 지리적 위치를 찾아냅니다. 이 데이터의 사용을 다음과 같이 언급하여 저작자 표시가 필요한 개인 또는 상업적 용도로 무료입니다. 높은 데이터 정확도, 더 많은 기록 및 고객 지원을 원하시면 상업용 버전 을 받으십시오. 자세한 내용은 제품 비교 페이지 를 방문하십시오. Let's explore this database which provides a valuable resource of geolocation data for free now! Sign Up For Free 풍모 IP 주소를 국가로 변환합니다. 현재 버전 March 2025 다음 업데이트 April 2025 IPv4 데이터베이스 크기 BIN: 2.5 MB CSV: 12.15 MB (261,976 행) IPv6 데이터베이스 크기 BIN: 9.56 MB CSV: 48.57 MB (605,560 행) 정렬 및 이진 (BIN) ASCII 텍스트 파일 (CSV) 데이터베이스 필드 이름 유형 기술 ip_from INT (10)† / DECIMAL (39,0)†† 첫 번째 IP 주소는 넷 블록을 보여줍니다. ip_to INT (10)† / DECIMAL (39,0)†† 마지막 IP 주소는 넷 블록을 보여줍니다. country_code CHAR(2) ISO 3166을 기반으로 한 2 자리 국가 코드입니다. country_name VARCHAR(64) ISO 3166에 따른 국가 이름입니다. † IPv4 †† IPv6 ††† Latitude and Longitude are often near the center of population. These values are not precise and should not be used to identify a particular address or household. 데이터베이스 설정 다음은 IPv4 및 IPv6 데이터 모두에 대한 데이터베이스를 설정하는 단계입니다. IPv4 IPv6 MySQL MS-SQL PostgreSQL MongoDB 데이터베이스 생성 CREATE DATABASE ip2location;USE ip2location;CREATE TABLE `ip2location_db1`( `ip_from` INT(10) UNSIGNED, `ip_to` INT(10) UNSIGNED, `country_code` CHAR(2), `country_name` VARCHAR(64), PRIMARY KEY (`ip_to`)) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin; 데이터베이스 가져 오기 LOAD DATA LOCAL INFILE 'IP2LOCATION-LITE-DB1.CSV'INTO TABLE `ip2location_db1`FIELDS TERMINATED BY ','ENCLOSED BY '"'LINES TERMINATED BY '\r\n'IGNORE 0 LINES; 데이터베이스 생성 CREATE DATABASE ip2locationGOUSE ip2locationGOCREATE TABLE [ip2location].[dbo].[ip2location_db1]( [ip_from] bigint NOT NULL, [ip_to] bigint NOT NULL, [country_code] nvarchar(2) NOT NULL, [country_name] nvarchar(64) NOT NULL) ON [PRIMARY]GOCREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db1]([ip_to]) ON [PRIMARY]GO 데이터베이스 가져 오기 BULK INSERT [ip2location].[dbo].[ip2location_db1]FROM '{PATH TO IP2LOCATION-LITE-DB1.CSV}'WITH( FORMATFILE = '{PATH TO DB1.FMT}')GO 참고 : 아래의 FMT 코드를 복사하여 컴퓨터에 DB1.FMT라는 파일로 저장해야합니다. SQL Server 2016 12.051 SQLCHAR 0 1 """ 0 first_double_quote Latin1_General_CI_AI2 SQLCHAR 0 20 "","" 1 ip_from "",3 SQLCHAR 0 20 "","" 2 ip_to "",4 SQLCHAR 0 2 "","" 3 country_code Latin1_General_CI_AI,5 SQLCHAR 0 64 "","" 4 country_name Latin1_General_CI_AI 데이터베이스 생성 CREATE DATABASE ip2location WITH ENCODING 'UTF8';\c ip2locationCREATE TABLE ip2location_db1( ip_from bigint NOT NULL, ip_to bigint NOT NULL, country_code character(2) NOT NULL, country_name character varying(64) NOT NULL, CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)); 데이터베이스 가져 오기 COPY ip2location_db1 FROM 'IP2LOCATION-LITE-DB1.CSV' WITH CSV QUOTE AS '"'; 데이터베이스 가져 오기 mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db1 --type csv --file "IP2LOCATION-LITE-DB1.CSV" --fields ip_from,ip_to,country_code,country_name MySQL MS-SQL PostgreSQL MongoDB 데이터베이스 생성 CREATE DATABASE ip2location;USE ip2location;CREATE TABLE `ip2location_db1_ipv6`( `ip_from` DECIMAL(39,0) UNSIGNED, `ip_to` DECIMAL(39,0) UNSIGNED, `country_code` CHAR(2), `country_name` VARCHAR(64), PRIMARY KEY (`ip_to`)) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin; 데이터베이스 가져 오기 LOAD DATA LOCAL INFILE 'IP2LOCATION-LITE-DB1.IPV6.CSV'INTO TABLE `ip2location_db1_ipv6`FIELDS TERMINATED BY ','ENCLOSED BY '"'LINES

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Querying than MySQL, which uses SQL for the majority of its queries.You may use aggregation pipelines to do sophisticated searches and data processing using the MongoDB Query API.It will be necessary to modify the code in your application to utilize this new language.Data structuresThe idea that MongoDB does not enable relationships across data is a bit of a fiction.Nevertheless, you may wish to investigate other data structures to utilize all of MongoDB’s capabilities fully.Rather than depending on costly JOINs, you may embed documents directly into other documents in MongoDB. This kind of modification results in significantly quicker data querying, less hardware resource usage, and data returned in a format that is familiar to software developers.Additional Resources for MongoDB Integrations and MigrationsConnect MongoDB to SnowflakeConnect MongoDB to TableauSync Data from MongoDB to PostgreSQLMove Data from MongoDB to RedshiftReplicate Data from MongoDB to DatabricksConclusionThis article gives detailed information on migrating data from MongoDB to MySQL. It can be concluded that Hevo seamlessly integrates with MongoDB and MySQL, ensuring that you see no delay in setup and implementation.Businesses can use automated platforms like Hevo Data to export data and handle the ETL process. It helps you directly transfer data from a source of your choice to a Data Warehouse, Business Intelligence tools, or any other desired destination in a fully automated and secure manner without having to write any code. So, to enjoy this hassle-free experience, sign up for our 14-day free trial and make your data transfer easy!Also, check out our unbeatable pricing for the best plan that fits your needs.FAQ on MongoDB to MySQL1. Can I migrate from MongoDB to MySQL?Yes, you can migrate your data from MongoDB to MySQL using ETL tools like Hevo Data.2. Can MongoDB connect to MySQL?Yes, you can connect MongoDB to MySQL using manual methods or automated data pipeline platforms.3. How to transfer data from MongoDB to SQL?To transfer data from MongoDB to MySQL, you can use automated pipeline platforms like Hevo Data, which transfers data from source to destination in three easy steps:Configure your MongoDB Source.Select the objects you want to transfer.Configure your Destination, i.e., MySQL.4. Is MongoDB better than MySQL?It depends on your use case. MongoDB works better for unstructured data, has a flexible schema design, and is very scalable. Meanwhile, developers prefer MySQL for structured data, complex queries, and transactional integrity. Sourabh has more than a decade of experience building scalable real-time analytics. Mongodb stop working: Aborted (core dumped) 2 Can't access MongoDB 3.2.4 on CentOS 7 via 3T MongoChef. 0 mongo crashed and now not starting. 2 mongodb cant start centos 7. 0 Mongodb 3.4 - fail to start mongodb. Load 7 more related questions دروس الكورس. 1- MongoDB Tutorial for Beginners 1 - Introduction to MongoDB Installing MongoDB 2- MongoDB Tutorial for Beginners 2 - Install MongoChef (now Studio 3T) (MongoDB GUI Tool) 3- MongoDB Tutorial for Beginners 3 - Create Database and Drop Database 4- MongoDB Tutorial for Beginners 4 - Create Collection and Drop Collection 5- MongoDB Tutorial for Beginners 5 -

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Cryomongo A MongoDB driver written in pure Crystal. Cryomongo is a high-performance MongoDB driver written in pure Crystal. (i.e. no C dependencies needed.)Compatible with MongoDB 3.6+. Tested against: 4.2.⚠️ BETA state.If you are looking for a higher-level object-document mapper library, you might want to check out the moongoon shard.InstallationAdd the dependency to your shard.yml:dependencies: cryomongo: github: elbywan/cryomongoRun shards installUsageMinimal working example 2collection.delete_one({ two: 2 })puts collection.count_documents # => 0">require "cryomongo"# Create a Mongo client, using a standard mongodb connection string.client = Mongo::Client.new # defaults to: "mongodb://localhost:27017"# Get database and collection.database = client["database_name"]collection = database["collection_name"]# Perform crud operations.collection.insert_one({ one: 1 })collection.replace_one({ one: 1 }, { two: 2 })bson = collection.find_one({ two: 2 })puts bson.not_nil!.["two"] # => 2collection.delete_one({ two: 2 })puts collection.count_documents # => 0Complex example with serialization [# {# "name": "John",# "banned": false,# "_id": {# "$oid": "f2001c5fb0a33e0264e2ea05"# },# "creation_date": "2020-07-25T09:52:50Z"# },# {# "name": "Jane",# "banned": false,# "_id": {# "$oid": "f2001c5fb0a33e0264e2ea07"# },# "creation_date": "2020-07-25T09:52:50Z"# }# ]">require "cryomongo"# We take advantage of the BSON serialization capabilities provided by the `bson.cr` shard.record User, name : String, banned : Bool? = false, _id : BSON::ObjectId = BSON::ObjectId.new, creation_date : Time = Time.utc do include BSON::Serializable include JSON::Serializableend# Initialize Client, Database and Collection.client = Mongo::Client.newdatabase = client["database"]users = database["users"]# We set majority read and write at the Database level.database.read_concern = Mongo::ReadConcern.new(level: "majority")database.write_concern = Mongo::WriteConcern.new(w: "majority")# Drop and recreate the Collection to ensure that we read later only the documents we inserted in this example.{ Mongo::Commands::Drop, Mongo::Commands::Create }.each do |command| database.command(command, name: "users")rescue e : Mongo::Error::Command # ignore the server error, drop will fail if the collection has not been created before.end# Insert User structures that are automatically serialized to BSON.users.insert_many({ "John", "Jane" }.map { |name| User.new(name: name)}.to_a)# Fetch a Cursor pointing to the users collection.cursor = users.find# Iterate the cursor and use `.of(User)` to deserialize as the cursor gets iterated.# Then push the users into an array that gets pretty printed.puts cursor.of(User).to_a.to_pretty_json# => [# {# "name": "John",# "banned": false,# "_id": {# "$oid": "f2001c5fb0a33e0264e2ea05"# },# "creation_date": "2020-07-25T09:52:50Z"# },# {# "name": "Jane",# "banned": false,# "_id": {# "$oid": "f2001c5fb0a33e0264e2ea07"# },# "creation_date": "2020-07-25T09:52:50Z"# }# ]FeaturesCRUD operationsAggregation (except: Map-Reduce)BulkRead and Write ConcernsRead PreferenceAuthentication (only: SCRAM mechanisms)TLS encryptionIndexesGridFSChange StreamsAdmin/Diagnostic commandsTailable and Awaitable cursorsCollationStandalone, Sharded or ReplicaSet topologiesCommand monitoringRetryable reads and writesCausal consistencyTransactionsConventionsMethods and arguments names are in snake case.Object arguments can usually be passed as a NamedTuple, Hash, BSON::Serializable or a BSON instance.DocumentationThe generated API documentation is available here.Connectionrequire "cryomongo"# Mongo::Client is the root object for interacting with a MongoDB deployment.# It is responsible for monitoring the cluster, routing the requests and managing the socket pools.# A client can be instantiated using a standard mongodb connection string.# Client options can be passed as query parameters…client = Mongo::Client.new("mongodb://address:port/database?appname=MyApp")# …or with a Mongo::Options instance…options = Mongo::Options.new(appname: "MyApp")client = Mongo::Client.new("mongodb://address:port/database", options)# …or both.# Instantiate objects to interact with a specific database or a collection…database = client["database_name"]collection = database["collection_name"]# …or using `default_database` if the connection uri string contains a default auth database component ("/database").database = client.default_databasecollection = database.not_nil!.collection["collection_name"]# The overwhelming majority of programs should use a