投稿時間:2023-05-09 15:21:29 RSSフィード2023-05-09 15:00 分まとめ(25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
TECH	Techable（テッカブル）	基礎から応用まで実践スキルを学べるエンジニア育成スクール、コンテンツをアップデートして再開	https://techable.jp/archives/205709	skillcamp	2023-05-09 05:00:23
AWS	AWS Japan Blog	CyberCRX が AWS Step Functions 分散 Map を使用して ML の処理時間を 8 日間から 56 分に短縮した方法	https://aws.amazon.com/jp/blogs/news/how-cybercrx-cut-ml-processing-time-from-8-days-to-56-minutes-with-aws-step-functions-distributed-map/	awsstepfunctions	2023-05-09 05:08:14
python	Pythonタグが付けられた新着投稿 - Qiita	（コード編）Chat GPTにDocomoの料金体系情報を覚えさせたらドコモショップ販売員のようにふるまうか試してみた（Embedding）	https://qiita.com/jin07nov/items/7fdc7a9e19df48033811	embedd	2023-05-09 14:54:58
python	Pythonタグが付けられた新着投稿 - Qiita	PythonによるWebスクレイピング-入門編、その3 - ランキングライトからスクレイピング	https://qiita.com/K_Nemoto/items/6a3274a8d3a7cb4a8a05	forin	2023-05-09 14:28:24
Ruby	Rubyタグが付けられた新着投稿 - Qiita	リスコフの置換原則をRubyを用いて説明する	https://qiita.com/kyoto-kanko/items/206f49cc538c2c04ad94	kovsubstitutionprinciple	2023-05-09 14:49:17
Docker	dockerタグが付けられた新着投稿 - Qiita	Diveで消してしまったコンテナ内ファイルを復元する	https://qiita.com/Astalisks_IT/items/d6005e2ba2c71feb97b1	docker	2023-05-09 14:58:10
Git	Gitタグが付けられた新着投稿 - Qiita	ファイルごとのMR頻度を出力するshellファイル作ったメモ	https://qiita.com/WdknWdkn/items/61d0abd33cfd174c23e5	class	2023-05-09 14:16:22
技術ブログ	Developers.IO	【5/25(木)リモート】クラスメソッドグループ 24卒向け会社説明会	https://dev.classmethod.jp/news/jobfair-230525/	会社説明会	2023-05-09 05:59:15
技術ブログ	Developers.IO	[アップデート] Amazon QuickSight の VPC 接続管理コンソールが新しくなり、マルチ AZ 構成が必須になりました	https://dev.classmethod.jp/articles/quicksight-new-vpc-multi-az/	amazonquicksight	2023-05-09 05:56:33
技術ブログ	Developers.IO	PrivateLinkとNLBを使ったRDSクロスアカウントアクセスを試してみる	https://dev.classmethod.jp/articles/cross-account-rds-access-vial-privatelink-nlb/	privatelink	2023-05-09 05:49:20
技術ブログ	Developers.IO	Lima: Parallels と VMWare なしで macOS で Linux 仮想機を使うツールの紹介	https://dev.classmethod.jp/articles/lima-using-vm-on-macos-without-parallels-vmware/	limaparallels	2023-05-09 05:34:22
海外TECH	MakeUseOf	How to Set Up and Use Passkeys to Sign In to Your Google Account	https://www.makeuseof.com/google-account-passkeys-how-to-set-up-and-use/	complete	2023-05-09 05:30:08
海外TECH	DEV Community	How to use Snowflake Time Travel to Recover Deleted Data?	https://dev.to/chaos-genius/how-to-use-snowflake-time-travel-to-recover-deleted-data-2hdd	How to use Snowflake Time Travel to Recover Deleted Data IntroductionData whether it be on customer information financial records transactionsーand much more is an indispensable asset for businesses Unfortunately it can be lost or damaged through human error or any technical issue That s why having a robust data backup and recovery plan is crucial for any business that values its data For Snowflake users one feature that can help is Snowflake Time Travel Snowflake Time Travel is a powerful feature of Snowflake that enables users to access historical data and recover deleted or corrupted data quickly and easily In this article we ll talk about how powerful Snowflake Time Travel is and what it can do for Snowflake backup and recovery We ll talk about the benefits of using Snowflake time travel to recover lost data and provide easy to follow steps on how to set it up and use it What is Snowflake Time Travel Snowflake Time Travel is a powerful feature that enables users to examine and analyze historical data even if it has been modified or deleted With Snowflake Time Travel users can restore deleted objects make duplicates make a Snowflake backup and recovery of historical data and look at how it was used in the past historical data What are the benefits of Snowflake Time Travel Snowflake Time Travel offers a range of benefits which include Provides protection for accidental or intentional data deletion Allows users to query and analyze historical data at any point in time within the defined retention period Allows cloning and restoring tables schemas and databases at specific points in time Minimizes the complexity of data recovery by providing a straightforward way to retrieve lost data without complicated Snowflake backup and recovery processes It helps keep track of how data is used and changed over time Offers a low cost approach to continuous data protection Provides granular control over the retention period for different types of objects Automatically keeps track of historical data and doesn t need any extra setup or configuration Data Retention Period in Snowflake Time TravelThe data retention period is a critical component of Snowflake Time Travel Whenever data is modified Snowflake preserves the state of the data before the update allowing users to perform Time Travel operations The data retention period determines the number of days for which the historical data is preserved Snowflake Standard Edition has a retention period of hours day by default and is automatically enabled for all Snowflake accounts However users can adjust this period by setting it to or resetting it to the default of day at the account and object level including databases schemas and tables For Snowflake Enterprise Edition and higher the retention period can be set to or reset back to the default of day for transient and permanent databases schemas and tables Permanent objects can have a retention period ranging from to days giving users more flexibility and control over their data storage Whenever a data retention period ends the historical data of the object will be moved into a failsafe where past objects can no longer be queried cloned or restored Snowflake s failsafe store data for up to seven days giving users enough time to recover any lost or damaged data Setting the Data Retention Period for Snowflake Time TravelUsers with the ACCOUNTADMIN role can set the default retention period for their accounts using the DATA RETENTION TIME IN DAYS object parameter be set at the account database schema or table level The default retention period for a database schema or individual table can be overridden using the parameter DATA RETENTION TIME IN DAYS during creation Also the retention period can be adjusted at any point in time allowing users to customize it to suit their requirements Here is one example of a sample query that demonstrates how the DATA RETENTION TIME IN DAYS object parameter can be used to set a retention period of days for a Snowflake table and database DBwith a retention period of daysCREATE DATABASE my databaseDATA RETENTION TIME IN DAYS Table with a retention period of daysCREATE TABLE my table id INT name VARCHAR created at TIMESTAMP DATA RETENTION TIME IN DAYS Let s take another example to understand it even better let s say a schema has a parent database with a day time travel value The schema inherits that value If you change the value of the parent database the schema and any tables within it will inherit the new value You can also set an exact value for a specific object which will not change even if its parent objects change BUT temporary and transient tables can only have a time travel value of day Always remember that setting the value to turns off the time travel feature but you shouldn t do this at the account level because it only gives objects a default value It s better to set individual objects retention periods instead Use the following commands to set alter and display the DATA RETENTION TIME IN DAYS parameter value Set and display day time travel at the account level ALTER ACCOUNT SET DATA RETENTION TIME IN DAYS SHOW PARAMETERS LIKE DATA RETENTION TIME IN DAYS IN ACCOUNT Set and display day time travel at the database level CREATE OR REPLACE DATABASE some db DATA RETENTION TIME IN DAYS ALTER DATABASE some db SET DATA RETENTION TIME IN DAYS SHOW PARAMETERS LIKE DATA RETENTION TIME IN DAYS IN DATABASE some db Set and display day time travel at the schema level CREATE SCHEMA someschema DATA RETENTION TIME IN DAYS ALTER SCHEMA someschema SET DATA RETENTION TIME IN DAYS SHOW PARAMETERS LIKE DATA RETENTION TIME IN DAYS IN SCHEMA someschema Set and display day time travel at the table level CREATE TABLE some table col string DATA RETENTION TIME IN DAYS ALTER TABLE some table SET DATA RETENTION TIME IN DAYS SHOW PARAMETERS LIKE DATA RETENTION TIME IN DAYS IN TABLE some table How to Enable or Disable Snowflake Time Travel Snowflake Time Travel is automatically enabled with the standard day retention period However if you want to extend the data retention period to days for db schemas and tables you can upgrade to Snowflake Enterprise Edition Note Additional storage charges will apply for extended data retention Disable Snowflake Time Travel for the account level Disabling Snowflake Time Travel for an account is not possible but the data retention period can be set to for all db schemas and tables created in the account by setting DATA RETENTION TIME IN DAYS to at the account level But remember that this default can be easily overridden for individual databases schemas and tables Now let s talk about the MIN DATA RETENTION TIME IN DAYS parameter This parameter does not alter or replace the DATA RETENTION TIME IN DAYS parameter value It may however affect the effective data retention time The MIN DATA RETENTION TIME IN DAYS parameter can be set at the account level to set a minimum data retention period for all databases schemas and tables without changing or replacing the DATA RETENTION TIME IN DAYS value Whenever MIN DATA RETENTION TIME IN DAYS is set at the account level the effective data retention period for objects is determined by MAX DATA RETENTION TIME IN DAYS MIN DATA RETENTION TIME IN DAYS Disable Snowflake Time Travel for individual db schemas and tablesYou cannot disable it for an account but you may disable it for individual databases schemas and tables by setting DATA RETENTION TIME IN DAYS to If MIN DATA RETENTION TIME IN DAYS is greater than and set at the account level the higher value setting takes precedence How Snowflake Time Travel Works in Snowflake Backup and Recovery Now let s begin the process of recovering the deleted data from Snowflake Whenever a table performs any DML operations in Snowflake the platform keeps track of previous versions of the table s data for a specific duration enabling users to query previous versions of the data using the AT BEFORE clause With the help of this AT BEFORE clause users can easily query data that existed either precisely at or just before a particular point in the table s history The specified point can be a time based value like a timestamp or a time offset from the present or it can be the ID for a completed statement like SELECT or INSERT Querying Historical Data in Snowflakelet s begin Step Login signup to your Snowflake account Step Open the Snowflake web UI and navigate to the worksheet where you want to recover the deleted data Step Lets create a table named awesome first table with two columns id and name and insert three rows of data into the awesome first table table CREATE TABLE awesome first table id INT PRIMARY KEY name VARCHAR INSERT INTO awesome first table id name VALUES abc abc abc Step Let s start with a basic demo delete records from the awesome first table table and recover them but first select the entire table select from awesome first table Step Create temporary awesome first table table to hold recovered recordscreate table temporary awesome first table like awesome first table Step Now let us delete all records from the awesome first table table delete from awesome first table Step Time to recover the records that are deleted a few mins agoselect from awesome first table at offset gt Instead of using offset you can also provide the TIMESTAMP or STATEMENT Learn more from here Step Finally Copy all the records to temp tablesinsert into temporary awesome first table select from awesome first table at offset gt Cloning Objects with Snowflake Time TravelYou can use the AT BEFORE clause with the CLONE keyword in the CREATE command for a table schema or database to create a logical duplicate of the object at a specific point in its history Snowflake does not have backups but you can use cloning for backup purposes If you have Enterprise Edition or higher Snowflake supports time travel retention of up to days You can however create a zero copy clone every months to indefinitely preserve the object s history You can save the table as a clone every days for up to one year When you clone a table using Snowflake time travel the DATA RETENTION TIME IN DAYS parameter value is also preserved in the cloned table After cloning a table the parameter values are independent meaning you can change the parameter value in the source table and it won t affect the clone You can use the CREATE TABLE CREATE SCHEMA and CREATE DATABASE commands with the CLONE keyword to create a clone of a table schema or database respectively The clone will represent the object as it existed at a specific point in its history To create a table clone you can use the CREATE TABLE command CREATE TABLE restored table CLONE my table AT TIMESTAMP gt Sat May timestamp tz This above command will create a clone of my table as it existed at the specified timestamp To create a clone of a schema and all its objects you can use the following CREATE SCHEMA command CREATE SCHEMA restored schema CLONE my schema AT OFFSET gt This above command will create a clone of my schema and all its objects as they existed hour before the current time To create a clone of a database and all its objects you can use the following CREATE DATABASE command CREATE DATABASE restored db CLONE my db BEFORE STATEMENT gt The above command will create a clone of my db and all its objects as they existed before the completion of the specified statement Recovering Objects with Snowflake Time TravelDropping and restoring objects in Snowflake is a simple process that allows you to keep a copy of dropped objects for a certain period of time before purging Here s what you should know Dropping Objects When a table schema or database is dropped in Snowflake it is not immediately overwritten or removed from the system Instead it is retained for the object s data retention period during which time the object can be restored The object can only be restored within only days period However once this period has elapsed restoration of the object becomes impossible To drop an object use one of the following commands DROP TABLEDROP SCHEMADROP DATABASEDROP TABLE lt table name gt DROP SCHEMA lt schema name gt DROP DATABASE lt database name gt Note After dropping an object creating an object with the same name does not restore the dropped object Instead it creates a new version of the object The original dropped version is still available and can be restored Listing Dropped Objects Dropped tables schemas and databases can be listed using the following commands with the HISTORY keyword specified SHOW TABLESSHOW SCHEMASSHOW DATABASESFor example SHOW TABLES HISTORY LIKE load IN mytestdb myschema SHOW SCHEMAS HISTORY IN some db SHOW DATABASES HISTORY As you can see in the screenshot above the output includes all dropped objects and an additional DROPPED ON column which displays the date and time when the object was dropped If an object has been dropped more than once each version of the object is included as a separate row in the output Note After the retention period for an object has passed and the object has been purged it is no longer displayed in the SHOW HISTORY output Restoring Objects If an object has been dropped but is still listed in the output of SHOW HISTORY it can be restored easily using the following commands UNDROP TABLEUNDROP SCHEMAUNDROP DATABASECalling UNDROP restores the object to its most recent state before the DROP command was issued For example UNDROP TABLE mytable UNDROP SCHEMA myschema UNDROP DATABASE mydatabase Note if an object with the same name already exists UNDROP will fail In this case you must rename the existing object before restoring the previous version of the dropped object Top Snowflake Time Travel Best Practices Monitor Data Retention PeriodsSnowflake allows users to set a Snowflake Time Travel retention period specifying how long the platform should keep a history of changes Snowflake stores Time Travel data for one day by default but users can increase this period to days However monitoring your retention period carefully is crucial to ensure that you only store data for a short amount of time Longer retention periods can consume more storage resulting in higher costs Also retaining unnecessary data for an extended period can pose a security risk as it may contain sensitive information that should no longer be kept Monitor Storage ConsumptionSnowflake Time Travel data can consume significant storage space particularly when you have a long retention period Therefore it is essential to monitor your storage consumption carefully to ensure that you have the sufficient storage capacity to support your data warehousing needs Snowflake provides various tools and features that can help you monitor your storage usage including Storage Billing and Snowflake s Query Profile UI By monitoring your storage consumption you can identify areas of inefficiency and optimize your data management practices to reduce costs and improve performance Implement an Extra Snowflake Backup and Recovery PlanWhile Snowflake provides Time Travel capabilities having an extra backup recovery plan in place is always good Accidents can happen and data loss can occur making it critical to have a plan in place to ensure that you can recover your data in case of any mishap One way to implement an extra backup recovery plan is to use Snowflake s Data Replication feature which allows you to create backups in real time on another Snowflake account providing you with an additional layer of protection against data loss Cost OptimizationCost optimization is a crucial factor when it comes to Snowflake Time Travel as it can consume a significant amount of resources and add to your expenses Therefore monitoring your costs carefully and optimizing your data management practices to minimize expenses is essential One way to optimize costs is by setting up data retention policies to ensure that you only store data for a short time If you re searching for tools to optimize Snowflake costs using an observability tool like Chaos Genius can be incredibly beneficial Chaos Genius gives you the best possible view of your Snowflake workflows It breaks down costs into actionable insights and shows you where your Snowflake use could be improved You can use this tool to pinpoint your Snowflake usage pattern and get informed cost cutting recommendations resulting in up to savings on Snowflake costs without sacrificing performance Schedule a demo with us today and see it for yourself ConclusionSnowflake Time Travel is a powerful feature that simplifies data recovery on the Snowflake platform In this article we talked about how important it is for Snowflake users to have data recovery plans and Snowflake Time Travel We also talked about the several benefits of using Snowflake Time Travel for data recovery including its ability to retrieve historical data and rapidly and effectively recover deleted or corrupted data Moreover we also provided a step by step guide for setting up and using Snowflake Time Travel from the ground up Snowflake Time Travel is like having a wizard at your fingertipsーa time traveling data wizardーbut without the wand or a hat Simply put it s a magical way to restore your data and turn back the clock on any mistakes and it s as easy as saying ABRACADABRA	2023-05-09 05:08:29
海外TECH	DEV Community	How Machine-Assisted Code Generation is Revolutionizing the Development Process	https://dev.to/amplication/how-machine-assisted-code-generation-is-revolutionizing-the-development-process-h85	How Machine Assisted Code Generation is Revolutionizing the Development ProcessOne thing is sure machine and AI powered developer tools are taking over the world of software development Technologies like Chat GPT GitHub Copilot Google s Bard and what we re building here at Amplication are all designed to empower developers by helping them expedite their coding tasks and creating compelling solutions for developers I for one welcome our new machine overlords AI or machine assisted development is an approach to writing code or creating applications that use pre built modules or generate code based on trained models reducing the need for extensive coding knowledge This method is gaining popularity because it allows faster development times and reduced costs As a result developers now have intelligent and extensible tools to build applications quickly this is a game changer in software development A Small RequestAt Amplication we re building an open source Node js app development platform to help developers build production ready Node js backends without wasting time on repetitive coding We re closing in on the star milestone on GitHub and would love it if you gave us a too Check out our repo at thank you GitHub CopilotBack in June of GitHub announced its technical preview of GitHub Copilot It was a product that took developers by surprise and was only possible thanks to the work of OpenAI and their Codex model a descendent of GPT GitHub Copilot is an AI powered code generation tool that utilizes machine learning to provide developers with suggestions and auto complete code while they write It uses ML models trained on code made public on GitHub to give developers code suggestions relevant to their current project When I say relevant recommendations it s almost scary how well Copilot can understand a code base and make suggestions based on interfaces functions and classes in my projects Copilot does all this to make programming more straightforward and efficient by reducing the time and effort required to write and understand code In addition Copilot helps developers speed up the development process by interpreting natural language and converting it into code As impressive as this is you have yet to hear the best part GitHub Copilot XAt the end of March GitHub announced the next evolution of their Copilot software Copilot X GitHub Copilot X is the next generation of GitHub Copilot powered by OpenAI s GPT model It provides an even more complete developer experience beyond code completion It looks to revolutionize the development process by helping developers with various tasks Copilot ChatIf you remember and miss Clippy GitHub seeks to help fill that void Copilot can now provide chat and voice support allowing developers to interact with it more naturally More seriously though the Copilot Chat functionality adds a ChatGPT like experience to the editor Copilot for Pull RequestsCopilot can now help maintainers and contributors with pull requests Copilot for Pull Requests adds functionality again powered by GPT to create descriptions for a pull request automatically The descriptions are based on the changes made to the code and are easy to modify if you want them phrased differently Additionally Copilot will even warn developers if they re missing testing for their PR and suggest tests Copilot for DocsCopilot X can now answer questions about documentation providing developers with the information they need to write better code It s an experimental tool that uses a chat interface and can provide technical answers to questions based on the official docs of different technologies Currently the supported docs are limited to React Azure and MDN but this will likely change to cover much more While Copilot X is still under development it is another tool that has the potential to revolutionize the way developers work It can help developers to be more productive write better code and more AmplicationSo where does Amplication fit into all of this GitHub s Copilot does one thing very well to extend existing code and help enhance a developer s workflow But it has to start somewhere You could create a project from scratch using Copilot However the experience would be miserable as there is still much setup work for any project You ll have to give Copilot many clear and precise commands This is where Amplication shines Amplication is an open source development platform that simplifies building scalable and maintainable applications Amplication generates code based on data models you create via an intuitive UI rather than working in the dredges of the code The benefits of a UI may seem like only a little victory but visualizing your data models easily makes it easier to understand the relations between them In turn this system makes updating the data models easy as well For example when you need to make a small change in a traditional project you may have to update or plus files dependent on that data model With Amplication s understanding of your project and models we can easily update your code in all the places where it matters saving developers from spending time on repetitive coding tasks Amplication s user friendly interface continues beyond the data models It enables developers to manage and configure their applications like swapping database providers authentication strategies and how to secure data all with a couple of clicks of the mouse In addition without having an extensive coding background we democratize software development by allowing anyone to build a backend with little to no code written Wrap UpLike GitHub Copilot and other AI assisted tools Amplication helps developers speed up the development process reducing the time and effort required to build applications If you re ready to give Amplication a shot we have a few guides on building amazing applications with Amplication You can take the traditional route of creating a todo app or something more technical by building a Star Wars API GraphQL server Remember to join our developer community on Discord if you like the project and what we re doing give us a on GitHub	2023-05-09 05:07:48
金融	ニッセイ基礎研究所	ジップの法則－法則性をもとに、将来の紛争発生を予見する !?	https://www.nli-research.co.jp/topics_detail1/id=74728?site=nli	何かの数量をもとにしたランキングの場合、順位とその数量の間に、ジップの法則といわれる関係がみられることがある。	2023-05-09 14:56:58
金融	ニッセイ基礎研究所	スギ、ヒノキの植え替えが進めば花粉症は解決するか？～諸外国で取り上げられている増加要因は気候変動	https://www.nli-research.co.jp/topics_detail1/id=74730?site=nli	星比呂志他「花粉症対策スギ品種の開発とその普及への取組み少花粉品種を中心に」東北森林科学会誌第巻第号林野庁「花粉の少ない苗木生産量について」年林野庁「今後の花粉発生源対策の推進方法について花粉発生源対策プロジェクトチーム検討報告」毎日新聞「伸び悩み木材の需要減品質が不安」年月日ー今後への期待患者増加の背景の捉え方が異なることから、対策として、国内では、スギ・ヒノキの植林計画の見直しに注目が集まっているのに対し、諸外国では、人工的な植林によるものは伐採が検討されているものの、主な対策は、飛散する花粉量のより正確な予測を行うことや医薬品、治療法の開発となっていると考えられる。	2023-05-09 14:18:46
海外ニュース	Japan Times latest articles	Siblings Uta and Hifumi Abe defend crowns at judo worlds	https://www.japantimes.co.jp/sports/2023/05/09/more-sports/judo/abe-siblings-golds-worlds/	career	2023-05-09 14:28:02
ニュース	BBC News - Home	Real Madrid v Manchester City: How Erling Haaland became a footballing phenomenon	https://www.bbc.co.uk/sport/football/65494495?at_medium=RSS&at_campaign=KARANGA	Real Madrid v Manchester City How Erling Haaland became a footballing phenomenonAs Erling Haaland bids to fire Man City past Real Madrid European football expert Guillem Balague looks at how he became a phenomenon	2023-05-09 05:03:21
マーケティング	MarkeZine	DMM、動画を用いたオウンドメディア構築プラットフォームの提供を開始　縦型ショート動画にも対応	http://markezine.jp/article/detail/42178	開始	2023-05-09 14:15:00
IT	週刊アスキー	『アークナイツ- 明日方舟 -』の公式生放送「2023春の大感謝祭スペシャル」が5月15日20時より配信！	https://weekly.ascii.jp/elem/000/004/135/4135846/	yostar	2023-05-09 14:50:00
IT	週刊アスキー	『スターアーサー伝説III テラ4001（PC-6001mkII版）』が「プロジェクトEGG」で本日配信！	https://weekly.ascii.jp/elem/000/004/135/4135838/	pcmkii	2023-05-09 14:45:00
IT	週刊アスキー	大人も子どもも楽しめる自然体験イベント！　こども自然公園で「Yokohama Nature Week 2023」を開催	https://weekly.ascii.jp/elem/000/004/135/4135770/	yokohamanatureweek	2023-05-09 14:30:00
IT	週刊アスキー	『ホグワーツ・レガシー』が全世界1500万本の売上を突破！	https://weekly.ascii.jp/elem/000/004/135/4135825/	wbgames	2023-05-09 14:10:00
IT	週刊アスキー	今年は「ヤバ辛タコス」が新登場 サブウェイの初夏限定「タコス（メキシカンミートタコス／贅沢チーズタコス）」5月24日より発売	https://weekly.ascii.jp/elem/000/004/135/4135813/	限定	2023-05-09 14:40:00
マーケティング	AdverTimes	ホーユー、日本初のヘアカラーに特化したミュージアム	https://www.advertimes.com/20230509/article418538/	化粧品メーカー	2023-05-09 05:43:35