TiDBã®Request Unitã®è£å´ â‘ | CyberAgent Developers Blog
グループIT推進本部ã®ãƒ‡ãƒ¼ã‚¿ãƒ—ãƒãƒ€ã‚¯ãƒˆãƒ¦ãƒ‹ãƒƒãƒˆï¼ˆDPU）ã§ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ã‚„ã£ã¦ã„ã‚‹ï¼ azazã§ã™ã€‚DPUã§ã¯TiDBãƒãƒ¼ãƒ ã«æ‰€å±žã—ã¦ã„ã¾ã—ã¦ã€ã“ã“ã§ã¯TiDBã®é‹ç”¨ã€ç§»è¡Œã®ã‚µãƒãƒ¼ãƒˆã€ã‚¯ã‚¨ãƒªãƒ¼æœ€é©åŒ–ã®ã‚µãƒãƒ¼ãƒˆæ´»å‹•ãªã©ã«åŠ›ã‚’入れã¦ã„ã¾ã™ã€‚ 大è¦æ¨¡ãƒ‡ãƒ¼ã‚¿åŸºç›¤ã«ã¾ã¤ã‚るデータベース・ETL・クエリーエンジン・ストリーム処ç†æŠ€è¡“ã«ã¤ã„ã¦èˆˆå‘³ãŒã‚ã‚‹æ–¹ã¯æ˜¯éžCyberagentã®æŽ¡ç”¨ãƒ›ãƒ¼ãƒ ページã‹ã‚‰å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿åŸºç›¤ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢æž ã§å¿œå‹Ÿã—ã¦ã¿ã¦ãã ã•ã„ï¼ æµã‚Œ 最近注目を集ã‚ã¦ã„ã‚‹Mysql互æ›ã®NewSQL データベースã§ã‚ã‚‹TiDBã§ã™ãŒã€å†…部ã®ãƒ¬ãƒ¼ãƒˆãƒªãƒŸãƒƒã‚¿ãƒ¼ã«ã¤ã„ã¦è€ƒãˆãŸã“ã¨ã‚ã‚Šã¾ã™ã‹ï¼Ÿæœ¬è¨˜äº‹ã§ã¯TiDBã§æŽ¡ç”¨ã•ã‚Œã¦ã„るレートリミッターã®ä»•çµ„ã¿ã«ã¤ã„ã¦3部構æˆã§ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ 様々ãªãƒ¬ãƒ¼ãƒˆãƒªãƒŸãƒƒã‚¿ãƒ¼ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ç´¹ä»‹ 分散システムã«ãŠã‘るレートリミッターã®èª²é¡Œ TiDBã®ãƒ¬ãƒ¼ãƒˆãƒªãƒŸãƒƒã‚¿ãƒ¼ã®ä»•çµ„
GitHub - flatgeobuf/flatgeobuf: A performant binary encoding for geographic data based on flatbuffers
A performant binary encoding for geographic data based on flatbuffers that can hold a collection of Simple Features including circular interpolations as defined by SQL-MM Part 3. Inspired by geobuf and flatbush. Deliberately does not support random writes for simplicity and to be able to cluster the data on a packed Hilbert R-Tree enabling fast bounding box spatial filtering. The spatial index is
GitHub - zarr-developers/geozarr-spec: This document aims to provides a geospatial extension to the Zarr specification. Zarr specifies a protocol and format used for storing Zarr arrays, while the present extension defines conventions and recommendations
This document aims to provides a geospatial extension to the Zarr specification. Zarr specifies a protocol and format used for storing Zarr arrays, while the present extension defines conventions and recommendations for storing multidimensional georeferenced grid of geospatial observations (including rasters).
é™çš„サイトå‘ã‘ã®å…¨æ–‡æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ã¨ UI ライブラリ㮠Pagefind
デモã¨ã—ã¦ã€ã“ã®ãƒ–ãƒã‚°ã« Pagefind ã‚’å°Žå…¥ã—ã¦ã¿ã¾ã—ãŸã€‚ヘッダーã®æ¤œç´¢ã‚¢ã‚¤ã‚³ãƒ³ã‚’クリックã™ã‚‹ã¨æ¤œç´¢ãƒ•ã‚©ãƒ¼ãƒ ãŒè¡¨ç¤ºã•ã‚Œã‚‹ã®ã§ã€ã‚ーワードを入力ã—ã¦æ¤œç´¢ã—ã¦ã¿ã¦ãã ã•ã„。 使ã„æ–¹ Pagefind ã¯æ§‹ç¯‰æ¸ˆã¿ã® UI ライブラリã¨ã€CLI コマンドã¨ã—ã¦ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚’作æˆã™ã‚‹ãŸã‚ã®ãƒ„ールã‹ã‚‰æ§‹æˆã•ã‚Œã¦ã„ã¾ã™ã€‚ã¾ãšã¯ UI ライブラリã®éƒ¨åˆ†ã‹ã‚‰è¦‹ã¦ã¿ã¾ã—ょã†ã€‚ UI ライブラリ Pagefind ã® UI ライブラリã¯ã€æ¤œç´¢ãƒ•ã‚©ãƒ¼ãƒ ã¨æ¤œç´¢çµæžœã‚’表示ã™ã‚‹ãŸã‚ã®ã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã‹ã‚‰æ§‹æˆã•ã‚Œã¦ã„ã¾ã™ã€‚ã“ã® UI ã¯ä»¥ä¸‹ã®ã‚³ãƒ¼ãƒ‰ã‚’è¿½åŠ ã™ã‚‹ã ã‘ã§ç°¡å˜ã«åˆ©ç”¨ã§ãã¾ã™ã€‚ <link href="/pagefind/pagefind-ui.css" rel="stylesheet" /> <script src="/pagefind/pagefind-ui.js"></script> <div id="s
å…‰å¦è–„膜製å“ã®è²©å£² | ã‚»ãƒ©ãƒ†ãƒƒã‚¯ã‚¸ãƒ£ãƒ‘ãƒ³æ ªå¼ä¼šç¤¾
ダイクãƒã‚¤ãƒƒã‚¯ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ 誘電体多層膜ã«ã‚ˆã‚‹ãƒ€ã‚¤ã‚¯ãƒã‚¤ãƒƒã‚¯ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã§ã™ã€‚åŠ è‰²ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã®ã€ãƒ¬ãƒƒãƒ‰ï¼ˆRed）ã€ã‚°ãƒªãƒ¼ãƒ³ï¼ˆGreen）ã€ãƒ–ルー（Blue）をラインアップã—ã¦ãŠã‚Šã¾ã™ã€‚誘電体多層膜ã«ã‚ˆã‚‹ãƒ€ã‚¤ã‚¯ãƒã‚¤ãƒƒã‚¯ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã¯ã€è‰²ã‚¬ãƒ©ã‚¹ã‚„ゼラãƒãƒ³ã€ãƒ—ラスãƒãƒƒã‚¯ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã¨æ¯”ã¹ã€é«˜å½©åº¦ãªã‚«ãƒ©ãƒ¼åˆ†é›¢ã‚„高ã„コントラストを得るã“ã¨ãŒã§ãã€è€ç’°å¢ƒæ€§ã«ãŠã„ã¦ã‚‚優れã¦ã„ã¾ã™ã€‚ å¯è¦–光カットフィルター å¯è¦–域ã®ç‰¹å®šæ³¢é•·ã‚’åå°„ã•ã›ã¦è¿‘赤外光をé€éŽã•ã›ã‚‹é•·æ³¢é•·é€éŽãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ï¼ˆLong Wave Pass Filter）ã§ã™ã€‚「近赤外光を使ã„ãŸã„ãŒã€å¯è¦–å…‰ã«ã‚ˆã‚‹å½±éŸ¿ã‚’出æ¥ã‚‹é™ã‚Šå—ã‘ãŸããªã„ã€ã¨ã„ã£ãŸå ´åˆã«é©ã—ã¦ã„ã¾ã™ã€‚イオンアシスト蒸ç€ï¼ˆIAD）ã§ã‚³ãƒ¼ãƒˆã—ã¦ã„ã¾ã™ã®ã§å¯†ç€åº¦ã®é«˜ã„強固ãªè†œã¨ãªã£ã¦ãŠã‚Šã¾ã™ã€‚
SCIM連æºãŒã§ãã‚‹ã¾ã§ - Cybozu Inside Out | サイボウズエンジニアã®ãƒ–ãƒã‚°
ã”覧ã„ãŸã ãã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ 皆様㯠RFC7644 SCIM ã¨å‘¼ã°ã‚Œã‚‹ä»•æ§˜ã¯ã”å˜ã˜ã§ã—ょã†ã‹ã€‚ SCIMã¨ã¯"System for Cross-domain Identity Management" ã®ç•¥ã§ã€ã‚·ã‚¹ãƒ†ãƒ é–“ã§ã®ID管ç†ã‚’自動化ã™ã‚‹æ©Ÿèƒ½ã§ã™ã€‚ ã“ã®æ©Ÿèƒ½ã‚’実装ã™ã‚‹ã¨ã€Microsoft Entra ID(æ—§Azure AD)ã‚„Oktaãªã©ã®ID管ç†ã‚·ã‚¹ãƒ†ãƒ ã§ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼æƒ…å ±ã®å¤‰æ›´ã‚’自動的ã«é€£æºå…ˆã®ã‚·ã‚¹ãƒ†ãƒ ã«åæ˜ ã•ã›ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ Microsoft Entra IDã‚„Oktaãªã©Id管ç†ã‚·ã‚¹ãƒ†ãƒ ã¯é€£æºç”¨ã®ã‚«ã‚¿ãƒã‚°ã‚’公開ã—ã¦ãŠã‚Šã€æ•°ã‚¯ãƒªãƒƒã‚¯ã§é€£æºã•ã›ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ Microsoft > Tutorial: Configure Kintone for automatic user provisioning Okta > Cybozu (cybozu.com) 本記事ã§
pgmetrics - Home
pgmetrics Easily collect and report PostgreSQL metrics for scripting, automation and troubleshooting. pgmetrics is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL server and display it in easy-to-read text format or export it as JSON and CSV for scripting. Subsystem Info Collects information about WAL archiving, BG writer, backends (waiti
GitHub - mozilla/mozjpeg: Improved JPEG encoder.
MozJPEG improves JPEG compression efficiency achieving higher visual quality and smaller file sizes at the same time. It is compatible with the JPEG standard, and the vast majority of the world's deployed JPEG decoders. MozJPEG is a patch for libjpeg-turbo. Please send pull requests to libjpeg-turbo if the changes aren't specific to newly-added MozJPEG-only compression code. This project aims to k
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
GitHub - opengeos/HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
OpenAltimetry
Playground
GitHub - k1LoW/runn: runn is a package/tool for running operations following a scenario.
GitHub - dalibo/pev2: Postgres Explain Visualizer 2
Erasure Coding 101
GitHub - geopython/pygeofilter: pygeofilter is a pure Python parser implementation of OGC filtering standards
pycql2
GitHub - uber/h3-js: h3-js provides a JavaScript version of H3, a hexagon-based geospatial indexing system.
GitHub - zachasme/h3-pg: PostgreSQL bindings for H3, a hierarchical hexagonal geospatial indexing system
A Comprehensive Guide: PostgreSQL Shared Buffers - postgreshelp
GitHub - opengeos/segment-geospatial: A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
{{#tags}}- {{label}}
{{/tags}}