投稿時間:2022-09-11 11:14:03 RSSフィード2022-09-11 11:00 分まとめ(17件)
| カテゴリー等 | サイト名等 | 記事タイトル・トレンドワード等 | リンクURL | 頻出ワード・要約等/検索ボリューム | 登録日 |
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| IT | 気になる、記になる… | 4K ProResビデオ撮影、｢iPhone 14 Pro｣でも引き続き128GBモデルは非対応 | https://taisy0.com/2022/09/11/161519.html | iphonepro | 2022-09-11 01:45:13 |
| IT | バズ部 | 「他の人はこちらも検索」とは？SEOに有効な理由と活用方法 | https://lucy.ne.jp/bazubu/otherpeople-seo-43451.html | 表示 | 2022-09-11 01:00:54 |
| python | Pythonタグが付けられた新着投稿 - Qiita | Stable Diffusion のコードを斜め読みする | https://qiita.com/kanagii_codes/items/eceef71cd15265569417 | deeplearning | 2022-09-11 10:31:05 |
| Ruby | Rubyタグが付けられた新着投稿 - Qiita | 連想配列の繰り返し処理 | https://qiita.com/tadume/items/ba29404b654cc7ac6227 | 連想配列 | 2022-09-11 10:35:21 |
| 技術ブログ | Developers.IO | EC2 Linux에서 MySQL 설치시 Public key for mysql-community-common-8.0.30-1.el7.x86_64.rpm is not installed 해결 방법 | https://dev.classmethod.jp/articles/workaround-for-public-key-for-mysql-community-common-8-0-30-1-el7-x86_64-rpmis-not-installed-when-installing-mysql-on-ec2-linux/ | EC Linux에서MySQL 설치시Public key for mysql community common el x rpm is not installed 해결방법안녕하세요클래스메소드김재욱 Kim Jaewook 입니다 이번에는EC Linux에서MySQL 설치시Public key for mysql community common e | 2022-09-11 01:25:35 |
| 海外TECH | DEV Community | Introduction to MongoDB | https://dev.to/savvyshivam/introduction-to-mongodb-g95 | Introduction to MongoDBMongoDB the most popular NoSQL database is an open source document oriented database The term NoSQL means non relational It means that MongoDB isn t based on the table like relational database structure but provides an altogether different mechanism for the storage and retrieval of data This format of storage is called BSON Binary Encoded Javascript Notation similar to JSON format A simple MongoDB document Structure title Introduction to MongoDB by Shivam Kumar url type NoSQL SQL databases store data in tabular format This data is stored in a predefined data model which is not very much flexible for today s real world highly growing applications Modern applications are more networked social and interactive than ever Applications are storing more and more data and are accessing it at higher rates Relational Database Management System RDBMS i s not the correct choice when it comes to handling big data by the virtue of their design since they are not horizontally scalable If the database runs on a single server then it will reach a scaling limit NoSQL databases are more scalable and provide superior performance MongoDB is such a NoSQL database that scales by adding more and more servers and increases productivity with its flexible document model RDBMS vs MongoDB RDBMS has a typical schema design that shows a number of tables and the relationship between these tables whereas MongoDB is document oriented There is no concept of schema or relationship Complex transactions are not supported in MongoDB because complex join operations are not available MongoDB allows a highly flexible and scalable document structure For example one data document of a collection in MongoDB can have two fields whereas the other document in the same collection can have four MongoDB is faster as compared to RDBMS due to efficient indexing and storage techniques There are a few terms that are related in both databases What s called a Table in RDBMS is called a Collection in MongoDB Similarly a Tuple is called a Document and A Column is called a Field MongoDB provides a default id if not provided explicitly which is a byte hexadecimal number that assures the uniqueness of every document It is similar to the Primary key in RDBMS Features of MongoDB Document Oriented MongoDB stores the main subject in the minimal number of documents and not by breaking it up into multiple relational structures like RDBMS For example it stores all the information of a computer in a single document called a Computer and not in distinct relational structures like CPU RAM Hard disk etc Indexing Without indexing a database would have to scan every document of a collection to select those that match the query which would be inefficient So for efficient searching Indexing is a must and MongoDB uses it to process huge volumes of data in very less time Scalability MongoDB scales horizontally using sharding partitioning data across various servers Data is partitioned into data chunks using the shard key and these data chunks are evenly distributed across shards that reside across many physical servers Also new machines can be added to a running database Replication and High Availability MongoDB increases the data availability with multiple copies of data on different servers By providing redundancy it protects the database from hardware failures If one server goes down the data can be retrieved easily from other active servers which also had the data stored on them Aggregation Aggregation operations process data records and return the computed results It is similar to the GROUPBY clause in SQL A few aggregation expressions are sum avg min max etc Where do we use MongoDB MongoDB is preferred over RDBMS in the following scenarios Big Data If you have a huge amount of data to be stored in tables think of MongoDB before RDBMS databases MongoDB has a built in solution for partitioning and sharding your database Unstable Schema Adding a new column in RDBMS is hard whereas MongoDB is schema less Adding a new field does not affect old documents and will be very easy Distributed data Since multiple copies of data are stored across different servers recovery of data is instant and safe even if there is a hardware failure Language Support by MongoDB MongoDB currently provides official driver support for all popular programming languages like C C Rust C Java Node js Perl PHP Python Ruby Scala Go and Erlang Installing MongoDB Just go to and select your operating system out of Windows Linux Mac OS X and Solaris A detailed explanation about the installation of MongoDB is given on their site For Windows a few options for the bit operating systems drops down When you re running on Windows or newer versions select Windows bit R When you re using Windows XP or Vista then select Windows bit R legacy Who s using MongoDB MongoDB has been adopted as backend software by a number of major websites and services including EA Cisco Shutterfly Adobe Ericsson Craigslist eBay and Foursquare | 2022-09-11 01:40:47 |
| ビジネス | 不景気.com | 週刊不景気ニュース9/11、引き続き倒産の話題多く - 不景気com | https://www.fukeiki.com/2022/09/week-report-220911.html | 週刊 | 2022-09-11 01:24:51 |
| 北海道 | 北海道新聞 | 英皇太子と王子、共に登場 両夫妻、市民らと交流 | https://www.hokkaido-np.co.jp/article/729348/ | 長男 | 2022-09-11 10:28:15 |
| 北海道 | 北海道新聞 | 守田は後半途中まで出場 サッカー、ポルトガル１部リーグ | https://www.hokkaido-np.co.jp/article/729362/ | 後半途中 | 2022-09-11 10:28:12 |
| 北海道 | 北海道新聞 | カブスの鈴木は４打数無安打 ジャイアンツ戦 | https://www.hokkaido-np.co.jp/article/729374/ | 打数 | 2022-09-11 10:26:13 |
| 北海道 | 北海道新聞 | 原が今季初ゴール サッカー、スペイン２部リーグ | https://www.hokkaido-np.co.jp/article/729379/ | 初ゴール | 2022-09-11 10:04:00 |
| 北海道 | 北海道新聞 | 野球のＵ１８Ｗ杯、日本が２勝目 メキシコに４―１ | https://www.hokkaido-np.co.jp/article/729384/ | 野球 | 2022-09-11 10:24:00 |
| 北海道 | 北海道新聞 | パプア中部でＭ７・６ 津波の恐れなし | https://www.hokkaido-np.co.jp/article/729383/ | 南太平洋 | 2022-09-11 10:23:00 |
| 北海道 | 北海道新聞 | 台風１２号、先島諸島に接近 暴風、高波に厳戒呼びかけ | https://www.hokkaido-np.co.jp/article/729368/ | 先島諸島 | 2022-09-11 10:19:58 |
| 北海道 | 北海道新聞 | 秋の高校野球支部予選・９月１１日の試合結果 | https://www.hokkaido-np.co.jp/article/729380/ | 試合結果 | 2022-09-11 10:13:00 |
| 北海道 | 北海道新聞 | 「心の痛みが少しでも取れるよう祈る」 国後で遺体を発見したロシアの自然保護官 | https://www.hokkaido-np.co.jp/article/729340/ | 知床半島 | 2022-09-11 10:09:32 |
| ビジネス | 東洋経済オンライン | ｢切るだけ野菜､レンチン野菜｣でもう1品作るコツ 乾物はコスパ最強！安くて高栄養､保存がきく | グルメ・レシピ | 東洋経済オンライン | https://toyokeizai.net/articles/-/613309?utm_source=rss&utm_medium=http&utm_campaign=link_back | 東洋経済オンライン | 2022-09-11 10:30:00 |
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