投稿時間:2022-09-11 12:12:03 RSSフィード2022-09-11 12:00 分まとめ(13件)

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IT	気になる、記になる…	Microsoft、｢Surface Go 3｣向けに2022年9月のファームウェアアップデートをリリース	https://taisy0.com/2022/09/11/161528.html	microsoft	2022-09-11 02:27:59
IT	気になる、記になる…	｢iPhone 14 Pro｣シリーズ、｢Apple Watch Ultra｣と同じく高精度2周波GPSでより正確な位置情報の測定が可能に	https://taisy0.com/2022/09/11/161524.html	ipnonepromax	2022-09-11 02:21:09
js	JavaScriptタグが付けられた新着投稿 - Qiita	Reactの基礎１	https://qiita.com/hiro949/items/855e64ba7934d1774d91	vscod	2022-09-11 11:50:09
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Ruby on Rails　link_toのパスの引数に.idって、いるの？いらないの？(自分用メモ)	https://qiita.com/396dance/items/6ed928c7d4aeb4c3fd5b	linkto	2022-09-11 11:54:19
Ruby	Rubyタグが付けられた新着投稿 - Qiita	オブジェクト指向 とは	https://qiita.com/tadume/items/6fb6763a5090f282a05f	apple	2022-09-11 11:12:57
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS SAM Pipelineを試す	https://qiita.com/a_b_/items/a0db6047c964fdc00f24	codecommit	2022-09-11 11:32:20
Azure	Azureタグが付けられた新着投稿 - Qiita	金欠人間、オンプレADとAzureADの同期をする②	https://qiita.com/taketakeO/items/905a3b9b8367fb145fab	仮想マシン	2022-09-11 11:13:15
Ruby	Railsタグが付けられた新着投稿 - Qiita	Ruby on Rails　link_toのパスの引数に.idって、いるの？いらないの？(自分用メモ)	https://qiita.com/396dance/items/6ed928c7d4aeb4c3fd5b	linkto	2022-09-11 11:54:19
技術ブログ	Developers.IO	EC2 AMI와 EBS 볼륨의 스냅샷을 생성해서 인스턴스 복구해 보기	https://dev.classmethod.jp/articles/take-snapshots-of-ec2-ami-and-ebs-volumes/	EC AMI와EBS 볼륨의스냅샷을생성해서인스턴스복구해보기안녕하세요클래스메소드김재욱 Kim Jaewook 입니다 이번에는EC AMI와EBS 볼륨의스냅샷을생성해서인스턴스를복구해보는과정에대해서정리해봤습니다 현재EC 인스턴스	2022-09-11 02:30:02
海外TECH	DEV Community	Key Values Relations in NoSQL	https://dev.to/savvyshivam/key-values-relations-in-nosql-30m0	Key Values Relations in NoSQLIn this article we learn about the features of the key value store in NoSQL Before starting this topic we must know some basics of NoSQL and types of NoSQL NoSQL refers to a non SQL or nonrelational database that main purpose of it is to provide a mechanism for storage and retrieval of data NoSQL database stores the information in JSON documents instead of columns and rows As we know the relational database use rows and columns for storing and retrieval of data but in the case of NoSQL it uses JSON documents instead of rows and columns and that is why it is also known as a nonrelational SQL or database A NoSQL database includes simplicity of design simpler horizontal scaling and fine control over availability The data structures used in the NoSQL database are different from those we used in the relational database the database used in NoSQL is more advanced which makes some operations faster in NoSQL Why NoSQL is Used Relationships present in NoSQL are less complex as compared to relational database systems Actions performed in NoSQL are fast as compared to other databases Implementation of it is less costly than others Programming in it is easy to use and more flexible A high level of scalability is provided by NoSQL Types of NoSQL These are some of the most popular types of NoSQL as follows Document databases Primary operation of it is to store the information in documents Key Value Store These groups associate the data in collections with records that are identified with unique keys for easy retrieval Wide Column database They use the tabular format yet allow a wide variance in how data is named and formatted in each row and each table It is different from relational databases because the names and format of the columns vary from row to row in the table Graph database Its main aim is to use graph structures to define the relationships between data points What is the Key Value Store NoSQL This is a specific type of NoSQL database in which the key value method is used and its main purpose is to represent the various key value pairs Here the keys are called unique identifiers for values and values can represent more than one type of object like ーa string or even a string This is different from a relational database in such a way key value databases do not contain any defined structure as we know that relational databases represent data into tables and columns by which relational database has a well defined structure and its data types are assigned to its columns whereas key value database contains a pair of keys and values Think about a dictionary such as a dictionary containing various words and their meanings so here the word in the dictionary is the key and its meaning as the values key names can be specified from as simple as numbers to any specific descriptions of the values In the given below example we have a pair of keys and values as we discussed above the on left there is a column for keys and their values are defined on the right of these keys Features of Key Value Store Consistency Consistency is a feature only applicable for operations on a single key in a key value store There are various implementations in the key value store for example in RIAK the eventually consistent model of consistency is implemented Transactions In it there are no guarantees on the writes as many data stores implement transactions in different ways for example RIAK uses the concept of quorum implemented by using the W value replication factor RIAK is an open source and distributed database that is generally based on a NoSQL database system Query All the key value stores can be queried by the key and that s about it If we have requirements to query by using some of the attributes of the column it is not possible for using the database in this condition our application needs to read the value to recognize if the attribute meets the conditions Scaling Key values are stored scale by a process called sharding Sharding means we can support scalability by putting different parts of the data onto different servers this is called sharding Popular Key Value Databases REDIS Redis is one of the popular key value databases as it is an open source in memory data structure used as a database and message broker REDIS supports many data structures such as lists hashes sets and strings REDIS has many more important features such as it has built in replication and LUA scripting and it also supports LRU eviction AEROSPIKE It is the world s leading enterprise grade internet scale key value store database it is popular for some of its advantages over other databases such as aerospike gives strong consistency linear scalability and higher performance as compared to others AMAZON DynamoDB The main reason behind the popularity of this database is that it is a fully managed database service that provides fast performance at any scale Many AWS customers chose DynamoDB for web gaming mobile ed tech IoT and many other applications	2022-09-11 02:18:28
海外TECH	DEV Community	Introduction to NoSQL	https://dev.to/savvyshivam/introduction-to-nosql-3ml5	Introduction to NoSQLA NoSQL originally referring to non SQL or non relational is a database that provides a mechanism for storage and retrieval of data This data is modeled in means other than the tabular relations used in relational databases Such databases came into existence in the late s but did not obtain the NoSQL moniker until a surge of popularity in the early twenty first century NoSQL databases are used in real time web applications and big data and their use is increasing over time NoSQL systems are also sometimes called Not only SQL to emphasize the fact that they may support SQL like query languages A NoSQL database includes simplicity of design simpler horizontal scaling to clusters of machines and finer control over availability The data structures used by NoSQL databases are different from those used by default in relational databases which makes some operations faster in NoSQL The suitability of a given NoSQL database depends on the problem it should solve Data structures used by NoSQL databases are sometimes also viewed as more flexible than relational database tables Many NoSQL stores compromise consistency in favor of availability speed and partition tolerance Barriers to the greater adoption of NoSQL stores include the use of low level query languages lack of standardized interfaces and huge previous investments in existing relational databases Most NoSQL stores lack true ACID Atomicity Consistency Isolation Durability transactions but a few databases such as MarkLogic Aerospike FairCom c treeACE Google Spanner though technically a NewSQL database Symas LMDB and OrientDB have made them central to their designs Most NoSQL databases offer a concept of eventual consistency in which database changes are propagated to all nodes so queries for data might not return updated data immediately or might result in reading data that is not accurate which is a problem known as stale reads Also some NoSQL systems may exhibit lost writes and other forms of data loss Some NoSQL systems provide concepts such as write ahead logging to avoid data loss For distributed transaction processing across multiple databases data consistency is an even bigger challenge This is difficult for both NoSQL and relational databases Even current relational databases do not allow referential integrity constraints to span databases There are few systems that maintain both X Open XA standards and ACID transactions for distributed transaction processing Advantages of NoSQL There are many advantages of working with NoSQL databases such as MongoDB and Cassandra The main advantages are high scalability and high availability High scalability ーNoSQL database use sharding for horizontal scaling Partitioning data and placing it on multiple machines in such a way that the order of the data is preserved is sharding Vertical scaling means adding more resources to the existing machine whereas horizontal scaling means adding more machines to handle the data Vertical scaling is not that easy to implement but horizontal scaling is easy to implement Examples of horizontal scaling databases are MongoDB Cassandra etc NoSQL can handle a huge amount of data because of scalability as the data grows NoSQL scale itself to handle that data in an efficient manner High availability ーThe auto replication feature in NoSQL databases makes it highly available because in case of any failure data replicates itself to the previous consistent state Disadvantages of NoSQL NoSQL has the following disadvantages Narrow focus ーNoSQL databases have a very narrow focus as it is mainly designed for storage but it provides very little functionality Relational databases are a better choice in the field of Transaction Management than NoSQL Open source ーNoSQL is an open source database There is no reliable standard for NoSQL yet In other words two database systems are likely to be unequal Management challenge ーThe purpose of big data tools is to make the management of a large amount of data as simple as possible But it is not so easy Data management in NoSQL is much more complex than in a relational database NoSQL in particular has a reputation for being challenging to install and even more hectic to manage on a daily basis GUI is not available ーGUI mode tools to access the database is not flexibly available in the market Backup ーBackup is a great weak point for some NoSQL databases like MongoDB MongoDB has no approach for the backup of data in a consistent manner Large document size ーSome database systems like MongoDB and CouchDB store data in JSON format This means that documents are quite large BigData network bandwidth speed and having descriptive key names actually hurts since they increase the document size Types of NoSQL database Types of NoSQL databases and the name of the databases system that falls in that category are MongoDB falls in the category of a NoSQL document based database Key value store Memcached Redis CoherenceTabular Hbase Big Table AccumuloDocument based MongoDB CouchDB Cloudant When should NoSQL be used When a huge amount of data needs to be stored and retrieved The relationship between the data you store is not that importantThe data changes over time and is not structured Support of Constraints and Joins is not required at the database levelThe data is growing continuously and you need to scale the database regularly to handle the data	2022-09-11 02:03:41
北海道	北海道新聞	＜シリーズ評論・安倍元首相銃撃事件の波紋＞７　暴力生む「諦め」絶って　作家・佐藤優氏（６２）	https://www.hokkaido-np.co.jp/article/729394/	世界平和	2022-09-11 11:02:00
海外TECH	reddit	[Post Game Thread] Light That Baby Up! Angels defeat Astros!	https://www.reddit.com/r/angelsbaseball/comments/xb6tlk/post_game_thread_light_that_baby_up_angels_defeat/	Post Game Thread Light That Baby Up Angels defeat Astros Angels Astros First Pitch PM at Minute Maid Park Pitcher TV Radio Angels Shohei Ohtani ERA FOX KLAA Astros Jose Urquidy ERA FOX KBME TUDN KLAT ES Game Preview r angelsbaseball Discord Reddit Stream for this post Line Score Final R H E LAA HOU Box Score HOU AB R H RBI BB SO BA LAA AB R H RBI BB SO BA B Altuve B Fletcher B Gurriel Y B Rengifo LF Alvarez CF Trout B Bregman DH Ohtani RF Tucker DH Adell DH Mancini RF Ward CF McCormick B Duffy M SS Peña B Ford C Maldonado LF Moniak C Stassi SS Velazquez A HOU IP H R ER BB SO P S ERA LAA IP H R ER BB SO P S ERA Urquidy Ohtani Martinez S Herget Smith W M Quijada Maton P Scoring Plays Inning Event Score T Taylor Ward singles on a ground ball to third baseman Alex Bregman Mike Trout scores B Yuli Gurriel singles on a sharp line drive to right fielder Taylor Ward Jose Altuve scores Fielding error by right fielder Taylor Ward T Andrew Velazquez grounds out second baseman Jose Altuve to first baseman Yuli Gurriel Mike Ford scores Mickey Moniak to rd Max Stassi to nd T Mike Trout homers on a fly ball to left field Max Stassi scores Luis Rengifo scores T Mike Ford doubles on a sharp line drive to right fielder Kyle Tucker Taylor Ward scores Highlights Description Length Video Taylor Ward singles to third to bring home Trout Video Jeremy Peña throws out David Fletcher at home plate Video Yuli Gurriel singles to right to score Jose Altuve Video Mike Trout sets franchise record with home run Video Mickey Moniak turns the double play to end the th Video Mike Ford doubles to right field to bring in Ford Video Mike Trout robs Yordan Alvarez in center field Video Shohei Ohtani strikes out seven in five innings Video Decisions Winning Pitcher Losing Pitcher Save Ohtani Urquidy Game ended at PM submitted by u angelsbaseball to r angelsbaseball link comments	2022-09-11 02:26:49