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Auto Scaling Groupsã¨Distributed SQL Engine - Qiita
ã“ã®è¨˜äº‹ã¯Amazon Web Service Advent Calendar 25æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ Auto Scaling Groupsã¨ã¯ Auto Scaling Groupsã¯Amazon EC2ä¸Šã§å‹•ãæ©Ÿèƒ½ã®ã²ã¨ã¤ã§ã€ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã®è«–ç†çš„ãªã‚°ãƒ«ãƒ¼ãƒ—ã‚’å®šç¾©ã—ã¦ã€ãã®ã‚°ãƒ«ãƒ¼ãƒ—ã®ç·ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹æ•°ã‚’æŸ”è»Ÿã«å¤‰ãˆã‚‹ã“ã¨ã‚’å¯èƒ½ã«ã—ã¾ã™ã€‚Auto Scaling Groupã«å¯¾ã—ã¦å¿…è¦ãªã‚ãƒ£ãƒ‘ã‚·ãƒ†ã‚£ã‚’è¨å®šã™ã‚‹ã ã‘ã§ã€Auto Scaling GroupãŒè‡ªå‹•ã§ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã®ä½œæˆã€Bootstrap, Configuration, ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚µãƒ¼ãƒ“ã‚¹ã®ç«‹ã¡ä¸Šã’ã¾ã§ã‚’è¡Œã£ã¦ãã‚Œã¾ã™ã€‚ã“ã®æ©Ÿèƒ½ã‚’ä½¿ãˆã°Web Trafficã®ãƒ”ãƒ¼ã‚¯ã«åˆã‚ã›ã¦å¿…è¦ãªå°æ•°ã‚’è‡ªå‹•ã§ç«‹ã¡ä¸Šã’ã¦ã„ãã¨ã„ã£ãŸã“ã¨ãŒã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ã¾ãŸã‚³ã‚¹ãƒˆå‰Šæ¸›ã®ãŸã‚ä½™å‰°ãƒªã‚½ãƒ¼ã‚¹ã‚’è‡ªå‹•ã§ç¸®é€€ã•ã›ã¦ã„ãã¨ã„ã†ã“ã¨ã‚‚å¯èƒ½ã«ãªã‚Šã¾ã™ã€‚ ã“ã®
a_bicky 2020/01/10
presto
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Presto ã‚³ãƒã‚¯ã‚¿ãƒ¼ã‚’å®Ÿè£…ã™ã‚‹ ç¬¬ä¸€å›ž | TECHSCORE BLOG | TECHSCORE BLOG
ã“ã‚“ã«ã¡ã¯ã€‚æ¾æœ¬ã§ã™ã€‚ å¼Šç¤¾ã§ã¯ãƒžãƒ¼ã‚±ãƒ†ã‚£ãƒ³ã‚°ã‚„ CRM é–¢é€£ã® SaaS ã‚’é–‹ç™ºï¼é‹å–¶ã—ã¦ã„ã¾ã™ãŒã€è¿‘å¹´ã€ã“ã®é ˜åŸŸã§åˆ©ç”¨ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã®è¦æ¨¡ãŒã¾ã™ã¾ã™å¤§ãããªã£ã¦ã„ã¾ã™ã€‚ã¾ãŸãã‚Œã«ä¼´ã„ã€ãƒ‡ãƒ¼ã‚¿ã®æ ¼ç´å…ˆã‚‚å¾“æ¥ã®ã‚ˆã†ã«ã€ŒRDB ã®ã¿ã€ã¨ã„ã†ã‚ã‘ã«ã¯ã„ã‹ãšç”¨é€”ã«ã‚ˆã£ã¦æ§˜ã€…ã«åˆ†ã‹ã‚Œã¦ãã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ã“ã‚Œã‚‰ã®ãƒ‡ãƒ¼ã‚¿ã‚’ã‚·ã‚¹ãƒ†ãƒ ä¸Šã§çµ±åˆã—ã¦æ‰±ãŠã†ã¨ã™ã‚‹ã¨ã€ãã®æ–¹æ³•ã«é ã‚’æ‚©ã¾ã›ã¾ã™ã€‚Hadoop/HDFS ãƒ™ãƒ¼ã‚¹ã«ãƒ‡ãƒ¼ã‚¿ã‚’é›†ã‚ã€Hive ç‰ã‚’ä½¿ã£ã¦ãƒãƒƒãƒå‡¦ç†ã•ã›ã‚‹ã¨ã„ã†ã‚¢ãƒ—ãƒãƒ¼ãƒã‚‚è‰¯ã„ã§ã™ãŒã€ãŠå®¢æ§˜ã‚„ãƒ—ãƒãƒ€ã‚¯ãƒˆä¼ç”»ãƒãƒ¼ãƒ ã‹ã‚‰ã®æœŸå¾…ã¯ã€Œã‚ˆã‚Šã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ã€ãªå‡¦ç†ã§ã™ã€‚ Facebook ç¤¾ã«ã‚ˆã£ã¦å…¬é–‹ã•ã‚ŒãŸã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®åˆ†æ•£å‡¦ç†åŸºç›¤ã§ã‚ã‚‹ Presto ã¯ã“ã†ã„ã£ãŸèª²é¡Œã«å¯¾ã™ã‚‹ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã§ã™ã€‚ ãã“ã§ä»Šå›žã¯ Presto ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ã«ã¤ã„ã¦è¨˜äº‹ã‚’æ›¸ã“ã†ãƒ»ãƒ»ãƒ»ã¨æ€ã£ãŸã®ã§ã™ãŒã€ã‚¹ã‚ºã‚ç·¨é›†é•·ã‹
a_bicky 2018/09/20
presto
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Understanding Presto - Presto meetup @ Tokyo #1
This document summarizes a presentation about Presto, an open source distributed SQL query engine. It discusses Presto's distributed and plug-in architecture, query planning process, and cluster configuration options. For architecture, it explains that Presto uses coordinators, workers, and connectors to distribute queries across data sources. For query planning, it shows how SQL queries are conve
a_bicky 2018/07/24
presto
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Parquet performance tuning: the missing guide
Parquet performance tuning focuses on optimizing Parquet reads by leveraging columnar organization, encoding, and filtering techniques. Statistics and dictionary filtering can eliminate unnecessary data reads by filtering at the row group and page levels. However, these optimizations require columns to be sorted and fully dictionary encoded within files. Increasing dictionary size thresholds and d
a_bicky 2018/05/24
parquet

presto
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Presto Driver,Split and Pipeline
a_bicky 2018/05/24
presto
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Engineering Data Analytics with Presto and Parquet at Uber
Data / MLEngineering Data Analytics with Presto and Apache Parquet at UberJuly 11, 2017 / Global From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Within engineering, analytics inform decision-making processes across the board. As we expand to new markets, the ability to accurately and qui
a_bicky 2018/05/24
Uber ã®ãƒ‡ãƒ¼ã‚¿åŸºç›¤ã‚„ Presto ã® new Parquet readerï¼ˆhive.parquet_optimized_reader_enabled ã§ä½¿ãˆã‚‹ã‚„ã¤ï¼‰ã«ã¤ã„ã¦

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Presto anatomy
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. It is written in Java and uses a pluggable backend. Presto is fast due to code generation and runtime compilation techniques. It provides a library and framework for building distributed services and fast Java collections. Plugins all
a_bicky 2018/05/18
presto
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Migrating From Hive - Presto 0.291 Documentation
a_bicky 2014/09/16
Hive ã¨ Presto ã®ã‚¯ã‚¨ãƒªã®å¯¾æ¯”

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