๐Ÿ“–
Kyu9's Repo
  • Library of mameil
  • ์ด์Šˆ ๊ฒฝํ—˜
    • 20230220_ํŠธ๋žœ์žญ์…˜
    • 20230306_์บ์‹ฑ์ด์Šˆ
    • 20230722_ํ…Œ์ŠคํŠธ์ฝ”๋“œ์—์„œ @Transactional
    • 20230807_deadlock
  • ์ธํ„ด ์Šคํ„ฐ๋””
    • Gradle
    • Stream, Optional, ๋žŒ๋‹ค์‹
    • JVM์˜ ๋ฉ”๋ชจ๋ฆฌ ๊ตฌ์กฐ, Garbage Collector
    • RESTful API
    • Microservice Architecture
    • HTTP
    • ์›น์„œ๋ฒ„๋ž€ ๋ฌด์—‡์ธ๊ฐ€
    • Git Branch
    • TDD
    • Redis์„ ์ด์šฉํ•œ ์บ์‹œ
    • Thymeleaf
    • ์ •๋ฆฌ๊ฐ€ ํ•„์š”ํ•œ ์ž๋ฃŒ๋“ค
    • SpringBoot Management
    • ํ…Œ์Šคํฌ ์ฝ”๋“œ ๋ถ„ํ• 
  • ๋™์•„๋ฆฌ ์Šคํ„ฐ๋””
    • ๊ธฐ๋ณธ SQL ๊ณต๋ถ€
      • SQL์˜ ๊ธฐ๋ณธ ๊ฐœ๋…
      • SELECT ๋ฌธ์žฅ์„ ์ด์šฉํ•˜์—ฌ ์›ํ•˜๋Š” ๋ฐ์ดํ„ฐ ์ถœ๋ ฅํ•˜๊ธฐ
        • ์ง‘ํ•ฉ ์—ฐ์‚ฐ์ž ์‚ฌ์šฉํ•˜๊ธฐ
        • where์ ˆ์— ๋น„๊ต ์—ฐ์‚ฐ์ž๋ฅผ ์‚ฌ์šฉํ•ด๋ณด๊ธฐ
        • SELECT_EX
        • ์‚ฐ์ˆ  ์—ฐ์‚ฐ์ž ์‚ฌ์šฉํ•ด๋ณด๊ธฐ
      • ๋‹จ์ผ ํ–‰ ํ•จ์ˆ˜ ์‚ฌ์šฉ
        • lower/upper ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • lengthํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • concatํ•จ์ˆ˜ ์‚ฌ์šฉ
        • substr/mid/substring ํ•จ์ˆ˜ ์‚ฌ์šฉ
        • instrํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • lpad/rpad ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • trim/ltrim/rtrim ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • replace ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • round ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • truncate ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • modํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • ceilํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • floorํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • power ํ•จ์ˆ˜ ์‚ฌ์šฉํ•˜๊ธฐ
        • Date fn(๋‚ ์งœ ํ•จ์ˆ˜)
        • ํ˜• ๋ณ€ํ™˜ ํ•จ์ˆ˜
        • ์ผ๋ฐ˜ํ•จ์ˆ˜๋ž€
    • a-ha ์‹ค์Šต
    • ํ˜ผ์ž์„œ ๋งŒ๋“ค์–ด๋ณธ ๊ฒŒ์‹œํŒ
    • AWS ๊ฐ•์˜
  • ํ•™๊ต ๋‚˜๋จธ์ง€ ๊ณต๋ถ€ ์ž๋ฃŒ
    • ์›นํ”„๋ ˆ์ž„์›Œํฌ(Spring)
      • Spring์ด๋ž€?
      • Webframework1-1
      • Webframework1-2
      • SpringBoot์˜ ํŠน์ง•
      • SpringBoot ์ƒ์„ฑ ๋ฐฉ๋ฒ•
      • Spring Data JPA
      • SpringBoot Security
      • SpringBoot HATEOAS
  • ๊ณต๋ถ€ ์ž๋ฃŒ๋“ค
  • WS ์˜จ๋ผ์ธ ์ž๋ฐ” ์Šคํ„ฐ๋””
    • Week1(JVM์€ ๋ฌด์—‡์ด๋ฉฐ ์ž๋ฐ” ์ฝ”๋“œ๋Š” ์–ด๋–ป๊ฒŒ ์‹คํ–‰ํ•˜๋Š” ๊ฒƒ์ธ๊ฐ€.)
    • Week2(์ž๋ฐ” ๋ฐ์ดํ„ฐ ํƒ€์ž…, ๋ณ€์ˆ˜ ๊ทธ๋ฆฌ๊ณ  ๋ฐฐ์—ด)
    • Week3(์—ฐ์‚ฐ์ž)
    • Week4(์ œ์–ด๋ฌธ)
    • Week5(ํด๋ž˜์Šค)
    • Week6(์ƒ์†)
    • Week7(ํŒจํ‚ค์ง€)
    • Week8(์ธํ„ฐํŽ˜์ด์Šค)
    • Week9(์˜ˆ์™ธ์ฒ˜๋ฆฌ)
    • Week10(๋ฉ€ํ‹ฐ์“ฐ๋ ˆ๋“œ ํ”„๋กœ๊ทธ๋ž˜๋ฐ)
    • Week11(Enum)
    • Week12(Annotation)
    • Week13(I/O)
    • Week14(Generic)
    • Week15(๋žŒ๋‹ค์‹)
  • ๋ฐฑ์ค€๋ฌธ์ œ
    • ์ž…์ถœ๋ ฅ๊ณผ ์‚ฌ์น™์—ฐ์‚ฐ
      • We love kriii(10718)
      • ๊ณ ์–‘์ด(10171)
      • ๊ฐœ(10172)
      • A+B(1000)
      • A-B(1001)
      • AxB(10998)
      • A/B(1008)
      • ์‚ฌ์น™์—ฐ์‚ฐ(10869)
      • ๋‚˜๋จธ์ง€(10430)
      • ๊ณฑ์…ˆ(2588)
    • for๋ฌธ
      • ๊ตฌ๊ตฌ๋‹จ(2739)
      • A+B - 3(10950)
      • ํ•ฉ(8393)
      • ๋น ๋ฅธ A+B(15552)
      • N ์ฐ๊ธฐ(2741)
      • ๊ธฐ์ฐ N(2742)
      • A+B - 7(11021)
      • A+B - 8(11022)
      • ๋ณ„ ์ฐ๊ธฐ - 1(2438)
      • ๋ณ„ ์ฐ๊ธฐ - 2(2439)
      • X๋ณด๋‹ค ์ž‘์€ ์ˆ˜(10871)
    • if๋ฌธ
      • ๋‘ ์ˆ˜ ๋น„๊ตํ•˜๊ธฐ(1330)
      • ์‹œํ—˜ ์„ฑ์ (9498)
      • ์œค๋…„(2753)
      • ์‚ฌ๋ถ„๋ฉด ๊ณ ๋ฅด๊ธฐ(14681)
      • ์•Œ๋žŒ ์‹œ๊ณ„(2884)
      • ์˜ค๋ธ ์‹œ๊ณ„(2525)
      • ์ฃผ์‚ฌ์œ„ ์„ธ๊ฐœ(2480)
      • ์˜์ˆ˜์ฆ(25304)
    • While๋ฌธ
      • A+B - 5(10952)
      • A+B - 4(10951)
      • ๋”ํ•˜๊ธฐ ์‚ฌ์ดํด(1110)
    • 1์ฐจ์› ๋ฐฐ์—ด
      • ์ตœ์†Œ, ์ตœ๋Œ€(10818)
      • ์ตœ๋Œ“๊ฐ’(2562)
      • ์ˆซ์ž์˜ ๊ฐœ์ˆ˜(2577)
      • ๋‚˜๋จธ์ง€(3052)
      • ํ‰๊ท (1546)
      • OXํ€ด์ฆˆ(8958)
      • ํ‰๊ท ์€ ๋„˜๊ฒ ์ง€(4344)
    • ํ•จ์ˆ˜
      • ์ •์ˆ˜N๊ฐœ์˜ ํ•ฉ(15596)
      • ์…€ํ”„ ๋„˜๋ฒ„(4673)
      • ํ•œ์ˆ˜(1065)
    • ๋ฌธ์ž์—ด
      • ์•„์Šคํ‚ค์ฝ”๋“œ(11654)
      • ์ˆซ์ž์˜ ํ•ฉ(11720)
      • ์•ŒํŒŒ๋ฒณ ์ฐพ๊ธฐ(10809)
      • ๋ฌธ์ž์—ด ๋ฐ˜๋ณต(2675)
      • ๋‹จ์–ด ๊ณต๋ถ€(1157)
      • ๋‹จ์–ด์˜ ๊ฐœ์ˆ˜(1152)
      • ์ƒ์ˆ˜(2908)
      • ๋‹ค์ด์–ผ(5622)
      • ํฌ๋กœ์•„ํ‹ฐ์•„ ์•ŒํŒŒ๋ฒณ(2941)
      • ๊ทธ๋ฃน ๋‹จ์–ด ์ฒด์ปค(1316)
    • ๊ธฐ๋ณธ์ˆ˜ํ•™-1
      • ์†์ต๋ถ„๊ธฐ์ (1712)
      • ๋ฒŒ์ง‘(2292)
      • ๋ถ„์ˆ˜์ฐพ๊ธฐ(1193)
      • ๋‹ฌํŒฝ์ด๋Š” ์˜ฌ๋ผ๊ฐ€๊ณ  ์‹ถ๋‹ค(2869)
      • ACM ํ˜ธํ…”(10250)
      • ๋ถ€๋…€ํšŒ์žฅ์ด ๋ ํ…Œ์•ผ(2775)
      • ์„คํƒ• ๋ฐฐ๋‹ฌ(2839)
      • ํฐ ์ˆ˜ A+B(10757)
      • Fly me to the Alpha Centauri(1011)
    • ๊ธฐ๋ณธ์ˆ˜ํ•™-2
      • ์†Œ์ˆ˜ ์ฐพ๊ธฐ(1978)
      • ์†Œ์ˆ˜(2581)
      • ์†Œ์ธ์ˆ˜๋ถ„ํ•ด(11653)
      • ์†Œ์ˆ˜ ๊ตฌํ•˜๊ธฐ(1929)
      • ๋ฒ ๋ฅดํŠธ์™€ ๊ณต์กด(4948)
    • ์žฌ๊ท€
      • ํ•˜๋…ธ์ด ํƒ‘ ์ด๋™ ์ˆœ์„œ(11729)
      • ํ”ผ๋ณด๋‚˜์น˜ ์ˆ˜ 5(10870)
      • ๋ณ„ ์ฐ๊ธฐ(2447)
    • ๋ธŒ๋ฃจํŠธ ํฌ์Šค
      • ๋ธ”๋ž™์žญ(2798)
      • ๋ถ„ํ•ดํ•ฉ(2231)
      • ๋ฉ์น˜(7568)
      • ์ฒด์ŠคํŒ ๋‹ค์‹œ ์น ํ•˜๊ธฐ(1018)
      • ์˜ํ™”๊ฐ๋… ์Š˜(1436)
    • ์ง‘ํ•ฉ๊ณผ ๋งต
      • ์ˆซ์ž ์นด๋“œ(10815)
      • ๋ฌธ์ž์—ด ์ง‘ํ•ฉ(14425)
      • ์ˆซ์ž ์นด๋“œ2(10816)
      • ๋“ฃ๋ณด์žก(1764)
      • ๋Œ€์นญ ์ฐจ์ง‘ํ•ฉ(1269)
      • ์„œ๋กœ ๋‹ค๋ฅธ ๋ถ€๋ถ„ ๋ฌธ์ž์—ด ๊ฐฏ์ˆ˜(11478)
    • ์ •๋ ฌ
      • ์ˆ˜ ์ •๋ ฌํ•˜๊ธฐ(2750)
      • ์ˆ˜ ์ •๋ ฌํ•˜๊ธฐ 2(2751)
      • ์ˆ˜ ์ •๋ ฌํ•˜๊ธฐ 3(10989)
      • ํ†ต๊ณ„ํ•™(2108)
      • ์†ŒํŠธ์ธ์‚ฌ์ด๋“œ(1427)
      • ์ขŒํ‘œ ์ •๋ ฌํ•˜๊ธฐ(11650)
      • ์ขŒํ‘œ ์ •๋ ฌํ•˜๊ธฐ2(11651)
      • ๋‹จ์–ด ์ •๋ ฌ(1181)
      • ๋‚˜์ด์ˆœ ์ •๋ ฌ(10814)
      • ์ปคํŠธ๋ผ์ธ(25305)
      • ์ขŒํ‘œ์••์ถ•(18870)
    • ๋ฐฑํŠธ๋ž˜ํ‚น
      • N๊ณผ M - 1(15649)
      • N๊ณผ M - 2(15650)
      • N๊ณผ M - 3(15651)
      • N๊ณผ M - 4(15652)
      • N-Queen(9663)
      • ์Šค๋„์ฟ (2580)
      • ์—ฐ์‚ฐ์ž ๋ผ์›Œ๋„ฃ๊ธฐ(14888)
      • ์Šคํƒ€ํŠธ์™€ ๋งํฌ(14889)
    • ์ด๋ถ„ ํƒ์ƒ‰
      • ์ˆ˜ ์ฐพ๊ธฐ(1920)
    • ๋™์ ๊ณ„ํš๋ฒ•
      • ํ”ผ๋ณด๋‚˜์น˜ ํ•จ์ˆ˜(1003)
      • ์‹ ๋‚˜๋Š” ํ•จ์ˆ˜ ์‹คํ–‰(9184)
      • 01ํƒ€์ผ(1904)
      • ํŒŒ๋„๋ฐ˜ ์ˆ˜์—ด(9461)
      • RGB๊ฑฐ๋ฆฌ(1149)
      • ์ •์ˆ˜ ์‚ผ๊ฐํ˜•(1932)
      • ๊ณ„๋‹จ ์˜ค๋ฅด๊ธฐ(2579)
      • 1๋กœ ๋งŒ๋“ค๊ธฐ(1463)
      • ์‰ฌ์šด ๊ณ„๋‹จ ์ˆ˜(10844)
      • ํฌ๋„์ฃผ ์‹œ์‹(2156)
      • ๊ฐ€์žฅ ๊ธด ์ฆ๊ฐ€ํ•˜๋Š” ๋ถ€๋ถ„ ์ˆ˜์—ด(11053)
      • ๊ฐ€์žฅ ๊ธด ๋ฐ”์ดํ† ๋‹‰ ๋ถ€๋ถ„ ์ˆ˜์—ด(11504)
      • ์ „๊นƒ์ค„(2565)
      • LCS(9251)
      • ์—ฐ์†ํ•ฉ(1912)
      • ํ‰๋ฒ”ํ•œ ๋ฐฐ๋‚ญ(12865)
      • ๋”ํ•˜๊ธฐ(9095)
    • DFS์™€ BFS
      • ๋ฏธ๋กœํƒ์ƒ‰(2178)
      • ๋ฐ”์ด๋Ÿฌ์Šค(2606)
      • DFS์™€ BFS(1260)
      • ๋‹จ์ง€๋ฒˆํ˜ธ๋ถ™์ด๊ธฐ(2667)
      • ์ „์Ÿ - ์ „ํˆฌ(1303)
      • ์ˆจ๋ฐ”๊ผญ์งˆ(1697)
      • ๋ฐ์Šค ๋‚˜์ดํŠธ(16948)
      • ๋‚˜์ดํŠธ์˜ ์ด๋™(7562)
      • ๋…น์ƒ‰ ์˜ท ์ž…์€ ์• ๊ฐ€ ์ ค๋‹ค์ง€?(4485)
      • ์Œ์‹๋ฌผ ํ”ผํ•˜๊ธฐ(1743)
      • A->B (16953)
      • ์ˆจ๋ฐ”๊ผญ์งˆ 3(13549)
      • ์ˆจ๋ฐ”๊ผญ์งˆ 2(12851)
    • ๊ตฌํ˜„
      • ์น˜์ฆˆ(2636)
  • ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค ๋ฌธ์ œ
    • SQL
      • Animal Table - Oracle
      • Animal Table - MySQL
      • Animal Table2 - Oracle
      • Animal Table 3,4 - Oracle
    • Lv1
      • ๋‘ ๊ฐœ ๋ฝ‘์•„์„œ ๋”ํ•˜๊ธฐ
      • ์ œ์ผ ์ž‘์€ ์ˆ˜ ์ œ๊ฑฐํ•˜๊ธฐ
      • ๋ฌธ์ž์—ด ๋‚ด p์™€ y์˜ ๊ฐœ์ˆ˜
      • ์˜ˆ์‚ฐ
      • ์ž๋ฆฟ์ˆ˜ ๋”ํ•˜๊ธฐ
      • ๋‘ ์ •์ˆ˜ ์‚ฌ์ด์˜ ํ•ฉ
      • ๊ฐ™์€ ์ˆซ์ž๋Š” ์‹ซ์–ด
      • ๊ฐ€์šด๋ฐ ๊ธ€์ž ๊ฐ€์ ธ์˜ค๊ธฐ
      • ์ˆ˜๋ฐ•์ˆ˜๋ฐ•์ˆ˜๋ฐ•์ˆ˜๋ฐ•์ˆ˜๋ฐ•์ˆ˜?
      • ๋‚˜๋ˆ„์–ด ๋–จ์–ด์ง€๋Š” ์ˆซ์ž ๋ฐฐ์—ด
      • 2016๋…„
      • ํฐ์บฃ๋ชฌ
      • ์„œ์šธ์—์„œ ๊น€์„œ๋ฐฉ ์ฐพ๊ธฐ
      • ๋ฌธ์ž์—ด์„ ์ •์ˆ˜๋กœ ๋ฐ”๊พธ๊ธฐ
      • ์†Œ์ˆ˜ ๋งŒ๋“ค๊ธฐ
      • ๋ฌธ์ž์—ด ๋‹ค๋ฃจ๊ธฐ ๊ธฐ๋ณธ
      • ์†Œ์ˆ˜ ์ฐพ๊ธฐ(์—๋ผํ† ์Šคํ…Œ๋„ค์Šค์˜ ์ฒด)
      • ์ˆซ์ž ๋ฌธ์ž์—ด๊ณผ ์˜๋‹จ์–ด
      • ์ด์ƒํ•œ ๋ฌธ์ž ๋งŒ๋“ค๊ธฐ
      • ์—†๋Š” ์ˆซ์ž ๋”ํ•˜๊ธฐ
      • ๋ฌธ์ž์—ด ๋‚ด๋ฆผ์ฐจ์ˆœ์œผ๋กœ ๋ฐฐ์น˜ํ•˜๊ธฐ
      • ๋ฌธ์ž์—ด ๋‚ด ๋งˆ์Œ๋Œ€๋กœ ์ •๋ ฌํ•˜๊ธฐ
      • ์•ฝ์ˆ˜์˜ ๊ฐœ์ˆ˜์™€ ๋ง์…ˆ
      • ์ฝœ๋ผ์ธ  ์ถ”์ธก
      • ์ž์—ฐ์ˆ˜ ๋’ค์ง‘์–ด ๋ฐฐ์—ด๋กœ ๋งŒ๋“ค๊ธฐ
      • ์‹ ๊ทœ ์•„์ด๋”” ์ถ”์ฒœ
      • ๋น„๋ฐ€์ง€๋„
      • ํฌ๋ ˆ์ธ ์ธํ˜•๋ฝ‘๊ธฐ ๊ฒŒ์ž„
      • ์‹คํŒจ์œจ
      • ๋กœ๋˜์˜ ์ตœ๊ณ  ์ˆœ์œ„์™€ ์ตœ์ € ์ˆœ์œ„
      • ํ‚คํŒจ๋“œ ๋ˆ„๋ฅด๊ธฐ
      • ์ •์ˆ˜ ๋‚ด๋ฆผ์ฐจ์ˆœ์œผ๋กœ ๋ฐฐ์น˜ํ•˜๊ธฐ
    • Lv2
      • ํ–‰๋ ฌ์˜ ๊ณฑ์…ˆ
      • ์˜์–ด ๋๋ง์ž‡๊ธฐ
      • ์˜์–ด ๋๋ง์ž‡๊ธฐ
      • N๊ฐœ์˜ ์ตœ์†Œ ๊ณต๋ฐฐ์ˆ˜
      • ํ”ผ๋ณด๋‚˜์น˜ ์ˆ˜
      • 124 ๋‚˜๋ผ์˜ ์ˆซ์ž
      • ์ง์ง€์–ด ์ œ๊ฑฐํ•˜๊ธฐ
      • ํ”„๋ฆฐํ„ฐ
      • ๋‹ค์Œ ํฐ ์ˆซ์ž
      • ์ตœ๋Œ“๊ฐ’๊ณผ ์ตœ์†Ÿ๊ฐ’
      • ์ตœ์†Œ๊ฐ’ ๋งŒ๋“ค๊ธฐ
      • ์ˆซ์ž์˜ ํ‘œํ˜„
      • JadenCase ๋ฌธ์ž์—ด ๋งŒ๋“ค๊ธฐ
      • ์˜คํ”ˆ์ฑ„ํŒ…๋ฐฉ
      • ์˜์–ด ๋๋ง์ž‡๊ธฐ
      • ๋ฉ€์ฉกํ•œ ์‚ฌ๊ฐํ˜•
      • ์˜ฌ๋ฐ”๋ฅธ ๊ด„ํ˜ธ
      • ์œ„์žฅ
      • ๊ธฐ๋Šฅ๊ฐœ๋ฐœ
      • ๋” ๋งต๊ฒŒ
      • ์Šคํ‚ฌํŠธ๋ฆฌ
    • ์™„์ „ํƒ์ƒ‰
      • ๋ชจ์˜๊ณ ์‚ฌ(Lv1)
      • ์นดํŽซ(Lv2)
      • ์†Œ์ˆ˜ ์ฐพ๊ธฐ(Lv2)
    • ์ •๋ ฌ(Sorting)
      • K๋ฒˆ์งธ ์ˆ˜(Lv1)
      • ๊ฐ€์žฅ ํฐ ์ˆ˜(Lv2)
      • H-Index(Lv2)
    • ํ•ด์‹œ(Hash)
      • ์™„์ฃผํ•˜์ง€ ๋ชปํ•œ ์„ ์ˆ˜(Lv1)
      • ์ „ํ™”๋ฒˆํ˜ธ ๋ชฉ๋ก(Lv2)
    • ํƒ์š•๋ฒ•(Greedy)
      • ์ฒด์œก๋ณต(Lv1)
      • ํฐ ์ˆ˜ ๋งŒ๋“ค๊ธฐ(Lv2)
      • ๊ตฌ๋ช…๋ณดํŠธ(Lv2)
    • ๋™์ ๊ณ„ํš๋ฒ•(DP)
      • ์ •์ˆ˜ ์‚ผ๊ฐํ˜•(Lv3)
    • ๊นŠ์ด/๋„ˆ๋น„ ์šฐ์„  ํƒ์ƒ‰(DFS/BFS)
      • ํƒ€๊ฒŸ ๋„˜๋ฒ„(Lv2)
      • ๋„คํŠธ์›Œํฌ(Lv3)
      • ๋‹จ์–ด ๋ณ€ํ™˜(Lv3)
  • ์Šคํ”„๋ง๋ถ€ํŠธ ์ฑ…
    • Day 1
    • Day 2
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    • Day 5
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      • ์‹ค์Šต ์˜ˆ์ œ
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      • ์‹ค์Šต ์˜ˆ์ œ
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      • ๋‹ค๋Œ€์ผ, ์ผ๋Œ€๋‹ค ๊ด€๊ณ„
      • ์ผ๋Œ€์ผ, ๋‹ค๋Œ€๋‹ค ๊ด€๊ณ„
      • ์‹ค์Šต ์˜ˆ์ œ
    • ๊ณ ๊ธ‰ ๋งคํ•‘
      • ์ƒ์† ๊ด€๊ณ„ ๋งคํ•‘
      • @MappedSuperclass
      • ๋ณตํ•ฉ ํ‚ค์™€ ์‹๋ณ„ ๊ด€๊ณ„ ๋งคํ•‘
      • ์กฐ์ธ ํ…Œ์ด๋ธ”
    • ํ”„๋ก์‹œ์™€ ์—ฐ๊ด€๊ด€๊ณ„ ๊ด€๋ฆฌ
      • ํ”„๋ก์‹œ
      • ์ฆ‰์‹œ ๋กœ๋”ฉ๊ณผ ์ง€์—ฐ ๋กœ๋”ฉ
      • ์˜์†์„ฑ ์ „์ด, ๊ณ ์•„ ๊ฐ์ฒด
    • ๊ฐ’ ํƒ€์ž…
      • ์ž„๋ฒ ๋””๋“œ ํƒ€์ž…
      • ๊ฐ’ ํƒ€์ž…๊ณผ ๋ถˆ๋ณ€ ๊ฐ์ฒด
      • ๊ฐ’ ํƒ€์ž…์˜ ๋น„๊ต, ์ปฌ๋ ‰์…˜
    • ๊ฐ์ฒด์ง€ํ–ฅ ์ฟผ๋ฆฌ ์–ธ์–ด
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    • ์‘์šฉ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜
      • ์—”ํ‹ฐํ‹ฐ ์„ค์ •
    • ์Šคํ”„๋ง ๋ฐ์ดํ„ฐ JPA
      • ๊ณตํ†ต ์ธํ„ฐํŽ˜์ด์Šค
  • Kotlin In Action
    • ์ฝ”ํ‹€๋ฆฐ์˜ ํŠน์ง•
    • ์ฝ”ํ‹€๋ฆฐ์˜ ๊ธฐ์ดˆ
    • ํ•จ์ˆ˜ ์ •์˜์™€ ํ˜ธ์ถœ
    • ํด๋ž˜์Šค, ๊ฐ์ฒด, ์ธํ„ฐํŽ˜์ด์Šค
    • ๋žŒ๋‹ค ๋ฐฉ์‹
    • ์ฝ”ํ‹€๋ฆฐ ํƒ€์ž… ์‹œ์Šคํ…œ
    • ์—ฐ์‚ฐ์ž ์˜ค๋ฒ„๋กœ๋”ฉ๊ณผ ๊ธฐํƒ€ ๊ด€๋ก€
    • ๊ณ ์ฐจํ•จ์ˆ˜
    • ์ œ๋„ค๋ฆญ์Šค
    • ์• ๋…ธํ…Œ์ด์…˜๊ณผ ๋ฆฌํ”Œ๋ ‰์…˜
    • ์ฝ”๋ฃจํ‹ด
  • Oracle
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  • SQL ์ฒซ๊ฑธ์Œ(์ฑ…)
    • Day 1
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    • Day 4
    • Day 5
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    • Day 8
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  • ๋” ์ž๋ฐ” ์ฝ”๋“œ๋ฅผ ์กฐ์ž‘ํ•˜๋Š” ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•
    • JVM ์ดํ•ดํ•˜๊ธฐ
    • ๋ฐ”์ดํŠธ์ฝ”๋“œ ์กฐ์ž‘
    • ๋ฆฌํ”Œ๋ ‰์…˜
    • ๋‹ค์ด๋‚˜๋ฏน ํ”„๋ก์‹œ
    • ์• ๋…ธํ…Œ์ด์…˜ ํ”„๋กœ์„ธ์„œ
  • ๋” ์ž๋ฐ”, ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ํ…Œ์ŠคํŠธํ•˜๋Š” ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•
    • JUnit5
    • Mockito
    • ๋„์ปค์™€ ํ…Œ์ŠคํŠธ
    • ์„ฑ๋Šฅ, ์šด์˜์ด์Šˆ, ์•„ํ‚คํ…์ฒ˜ ํ…Œ์ŠคํŠธ
  • ์ดํŽ™ํ‹ฐ๋ธŒ ์ž๋ฐ”
    • item1 - ์ƒ์„ฑ์ž ๋Œ€์‹  ์ •์  ํŒฉํ† ๋ฆฌ ๋ฉ”์†Œ๋“œ๋ฅผ ๊ณ ๋ คํ•˜๋ผ
    • item2 - ์ƒ์„ฑ์ž์— ๋งค๊ฐœ๋ณ€์ˆ˜๊ฐ€ ๋งŽ๋‹ค๋ฉด ๋นŒ๋”๋ฅผ ๊ณ ๋ คํ•˜๋ผ
    • item3 - ์ƒ์„ฑ์ž๋‚˜ ์—ด๊ฑฐํƒ€์ž…์œผ๋กœ ์‹ฑ๊ธ€ํ„ด์ž„์„ ๋ณด์ฆํ•˜๋ผ
    • item4 - ์ธ์Šคํ„ด์Šคํ™”๋ฅผ ๋ง‰๊ธฐ ์œ„ํ•ด์„  private ์ƒ์„ฑ์ž๋ฅผ ์‚ฌ์šฉํ•˜๋ผ
    • item5 - ์ž์›์„ ์ง์ ‘ ๋ช…์‹œํ•˜์ง€ ๋ง๊ณ  ์˜์กด ๊ฐ์ฒด ์ฃผ์ž…์„ ์‚ฌ์šฉํ•˜๋ผ
    • item6 - ๋ถˆํ•„์š”ํ•œ ๊ฐ์ฒด ์ƒ์„ฑ์„ ํ”ผํ•˜๋ผ
    • item7 - ๋‹ค ์“ด ๊ฐ์ฒด ์ฐธ์กฐ๋ฅผ ํ•ด์ œํ•˜๋ผ
    • item8 - finalizer์™€ cleaner ์‚ฌ์šฉ์„ ํ”ผํ•˜๋ผ
    • item9 - try-finally ๋ณด๋‹ค try-with-resources์„ ์‚ฌ์šฉํ•˜๋ผ
    • item10 - equals๋Š” ์ผ๋ฐ˜ ๊ทœ์•ฝ์„ ์ง€์ผœ ์žฌ์ •์˜ํ•˜๋ผ
    • item11 - equals์„ ์žฌ์ •์˜ํ•˜๋ ค๋ฉด hashCode๋„ ์žฌ์ •์˜ํ•˜๋ผ
    • item12 - toString์„ ํ•ญ์ƒ ์žฌ์ •์˜ํ•˜๋ผ
    • item13 - clone ์žฌ์ •์˜๋Š” ์ฃผ์˜ํ•ด์„œ ์ง„ํ–‰ํ•˜๋ผ
    • item14 - Comparable์„ ๊ตฌํ˜„ํ• ์ง€ ๊ณ ๋ฏผํ•˜๋ผ
  • Elastic Search
    • ๊ฐ•์˜ Summary
    • Elastic Summary ๊ฐœ๋… ์ •๋ฆฌ
    • Elastic Summary ์ ์šฉ ์ •๋ฆฌ
  • ํ† ๋น„์˜ ์Šคํ”„๋ง ๊ฐ•์˜
    • ์Šคํ”„๋ง๋ถ€ํŠธ ์‚ดํŽด๋ณด๊ธฐ
    • ๋…๋ฆฝ ์‹คํ–‰ํ˜• ์„œ๋ธ”๋ฆฟ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜
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  • Revising Aggregations - The Count Function
  • Revising Aggregations - The Sum Function
  • Revising Aggregations - Averages
  • Average Population
  • Japan Population
  • Population Density Difference
  • The Blunder
  • Top Earners
  • Weather Observation Station 2
  • Weather Observation Station 13
  • Weather Observation Station 14
  • Weather Observation Station 15
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  1. SQL_์—ฐ์Šต

Basic Select 2

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Revising Aggregations - The Count Function

SELECT COUNT(ID)
FROM (
    SELECT *
    FROM CITY
    WHERE POPULATION>100000
)
----------------------------------------------------------------
SELECT COUNT(ID)
FROM CITY
WHERE POPULATION>100000;

๋‚œ ์™œ ์„œ๋ธŒ์ฟผ๋ฆฌ๊นŒ์ง€ ์ƒ๊ฐํ•œ๊ฑฐ์ง€..? ์•„๋ฌดํŠผ ์–ด๋ ต์ง€ ์•Š์€๋“ฏ

Revising Aggregations - The Sum Function

SELECT SUM(POPULATION)
FROM CITY
WHERE DISTRICT = 'California';

๋‚œ์ด๋„ ์ˆ˜์ค€์ด....?

Revising Aggregations - Averages

SELECT AVG(POPULATION)
FROM CITY
WHERE District='California';

ํ—ˆํ—ˆ ์ด์ง€ํ•˜๋„ค์š”

Average Population

SELECT TRUNC(AVG(POPULATION))
FROM CITY

์†Œ์ˆ˜์ ์œผ๋กœ ๋‚˜๋‰˜์–ด์ง€๋Š” ํ‰๊ท ์„ ๋‹จ์ˆœํ•˜๊ฒŒ ์ •์ˆ˜๋กœ ๋ฒ„๋ฆผํ•˜๋Š” ๋ฌธ์ œ - TRUNC์ด๋ผ๋Š” ํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•˜์ž

TRUNC ํ•จ์ˆ˜๋Š” ๋‚ ์งœ๋‚˜ ์ˆซ์ž๋ฅผ ์ž๋ฅด๋Š”๋ฐ ์‚ฌ์šฉํ•˜๋Š” ํ•จ์ˆ˜์ด๋‹ค.

์ด๋ฒˆ์— ์ˆซ์ž์˜ ๊ฒฝ์šฐ์—๋Š” TRUNC(์ˆซ์ž, ์ž˜๋ผ๋ฒ„๋ฆด์ž๋ฆฌ์ˆ˜)

๊ทธ๋ž˜์„œ TRUNC(AVG(POPULATION), 3) ์ด๋Ÿฐ ๊ฒฝ์šฐ์—๋Š” 3๋ฒˆ์งธ ์ž๋ฆฌ์ˆ˜๊นŒ์ง€ ์‚ญ์ œํ•˜๊ฒ ๋‹ค๋Š” ์˜๋ฏธ์ด๋‹ค.

Japan Population

๊ทธ๋ƒฅ Sum ์‚ฌ์šฉํ•˜๋Š” ๋‹จ์ˆœํ•œ ๋ฌธ์ œ

SELECT SUM(POPULATION)
FROM CITY
WHERE COUNTRYCODE = 'JPN';

Population Density Difference

population์ด ๊ฐ€์žฅ ํฐ ๋„์‹œ์˜ ๊ฐ’ - ๊ฐ€์žฅ ์ž‘์€ ๋„์‹œ์˜ ๊ฐ’

SELECT MAX(POPULATION) - MIN(POPULATION)
FROM CITY;

The Blunder

์Œ.. ๋ˆ์„ ์ž‘์„ฑํ•ด์„œ ๋„ฃ๊ณ  ์žˆ์—ˆ๋Š”๋ฐ, 0ํ‚ค๊ฐ€ ์•ˆ๋จน๋Š”๊ฑธ ๋‹ค ๊ธฐ์ž…ํ•˜๊ณ  ๋‚˜์„œ ๊นจ๋‹ณ์•˜๋‹ค. ๊ทธ๋ž˜์„œ ์›๋ณธ์˜ ํ‰๊ท  - 0์„ ๋บ€ ์ˆซ์ž๋“ค์˜ ํ‰ ๊ท ์„ ๊ณ„์‚ฐํ•˜๊ณ  ์ •์ˆ˜๋กœ ๋ฐ˜์˜ฌ๋ฆผํ•ด๋ผ

SELECT CEIL(AVG(SALARY) - AVG(REPLACE(SALARY, 0, '')))
FROM EMPLOYEES;

์˜ค์šฐ์•ผ....

CEIL : ์–ด์ œํ–ˆ๋˜ TRUNC์ด ์ž๋ฅด๋Š” ์—ญํ• , ์ฆ‰ ๋ฒ„๋ฆผ์ด์˜€๋‹ค๋ฉด ceil์€ ์ •์ˆ˜๋กœ ์˜ฌ๋ฆผํ•ด์ฃผ๋Š” ํ•จ์ˆ˜์ธ๋ฐ ์—ฌ๊ธฐ์„œ ์ค‘์š”ํ•œ๊ฑด ์†Œ์ˆ˜์  ์ฒซ์งธ ์ž๋ฆฌ์—์„œ ์˜ฌ๋ฆผํ•˜๋Š” ํ•จ์ˆ˜๋กœ ์›ํ•˜๋Š” ์ž๋ฆฌ์ˆ˜๋ฅผ ๋งค๊ธธ ์ˆ˜ ์—†๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค

REPLACE : ํŠน์ • ๋ฌธ์ž์—ด์„ ์น˜ํ™˜ํ•˜๊ฑฐ๋‚˜ ์ œ๊ฑฐํ•˜๊ธฐ ์œ„ํ•ด์„œ ์‚ฌ์šฉ

  • REPLACE(์ปฌ๋Ÿผ, ์ฐพ์„๋ฌธ์ž, ๋ณ€ํ™˜ํ• ๋ฌธ์ž)

Top Earners

์ง์›

์›”๊ธ‰ * ์›”์ˆ˜ ํ•˜๋ฉด ํ˜„์žฌ๊นŒ์ง€ ๋ฐ›์€ ์ž„๊ธˆํŒŒ์•…ํ•˜๊ณ  ๊ฐ€์žฅ ๋†’์€ ์ž„๊ธˆ์„ ์ถœ๋ ฅํ•˜๊ณ  ๊ทธ ์ž„๊ธˆ์„ ๋ฐ›๋Š” ์‚ฌ๋žŒ์˜ ์ˆ˜๋ฅผ ์ถœ๋ ฅ

SELECT *
FROM(
    SELECT MONTHS*SALARY, COUNT(MONTHS*SALARY) 
    FROM EMPLOYEE
    GROUP BY MONTHS*SALARY
    ORDER BY MONTHS*SALARY DESC
)
WHERE ROWNUM=1;

์•„์นจ์— ์ถœ๊ทผํ•ด์„œ ๊ผญ ๋ณต์Šตํ•˜๊ธฐ!

Weather Observation Station 2

LAT_N์„ ๋‹ค ๋”ํ•˜๊ณ , LONG_W์„ ๋‹ค ๋”ํ•˜๊ณ  ์†Œ์ˆ˜์  2์งธ์  ๊นŒ์ง€ ๋‚˜์˜ค๋„๋ก ์ถœ๋ ฅํ•˜๋ผ

SELECT ROUND(SUM(LAT_N), 2), ROUND(SUM(LONG_W), 2)
FROM STATION

ROUND ํ•จ์ˆ˜๋Š” ์ •์ˆ˜์˜ ๋ฐ˜์˜ฌ๋ฆผ์„ ํ•ด์ฃผ๋Š” ํ•จ์ˆ˜์ด๊ณ ,

ROUND(์›ํ•˜๋Š” ๊ฐ’, ๋ช‡์ž๋ฆฌ๊นŒ์ง€ ๋‚จ์„๊ฑด์ง€)

์š”๋Ÿฐ ์‹์œผ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค

Weather Observation Station 13

38.7880<LAT_N<137.2345 ์‚ฌ์ด์— ์žˆ๋Š” ๊ฐ’๋“ค์˜ ํ•ฉ ๊ตฌํ•˜๊ณ  4์ž๋ฆฌ ์ˆ˜๋กœ ์ž˜๋ผ๋ผ

SELECT TRUNC(SUM(LAT_N), 4)
FROM STATION
WHERE LAT_N > 38.7880 AND LAT_N < 137.2345;

Weather Observation Station 14

LAT_N ํ•ญ๋ชฉ์—์„œ 137.2345๋ณด๋‹ค ์ž‘์€ ๊ฒƒ๋“ค ์ค‘์—์„œ ๊ฐ€์žฅ ํฐ ์ˆ˜๋ฅผ 4์ž๋ฆฌ์ˆ˜๊นŒ์ง€ ์ž˜๋ผ

SELECT *
FROM (
    SELECT TRUNC(LAT_N, 4)
    FROM STATION
    WHERE LAT_N < 137.2345
    ORDER BY LAT_N DESC
)
WHERE ROWNUM=1;

Weather Observation Station 15

LATN์ด 137.2345๋ณด๋‹ค ์ž‘์€ ๊ฒƒ๋“ค ์ค‘์— ๊ฐ€์žฅ ํฐ ์ˆ˜์˜ LONG_W๋ฅผ 4์ž๋ฆฌ๋กœ ๋ฐ˜์˜ฌ๋ฆผํ•ด์„œ ์ถœ๋ ฅํ•˜๋ผ

SELECT *
FROM (
    SELECT ROUND(LONG_W, 4)
    FROM STATION
    WHERE LAT_N < 137.2345
    ORDER BY LAT_N DESC
)
WHERE ROWNUM=1;

Weather Observation Station 16

Query the smallest Northern Latitude (LAT_N) from STATION that is greater than . Round your answer to decimal places.

SELECT ROUND(MIN(LAT_N), 4)
FROM STATION
WHERE LAT_N>38.7780;

Weather Observation Station 17

Query the Western Longitude (LONGW) where the smallest Northern Latitude(LAT_N) in STATION is greater than 38.7780. Round your answer to 4 decimal places.

SELECT *
FROM(
    SELECT ROUND(LONG_W, 4)
    FROM STATION
    WHERE LAT_N > 38.7780
    ORDER BY LAT_N
)
WHERE ROWNUM=1;

Weather Observation Station 18

๋งจํ•ดํƒ„ ๊ฑฐ๋ฆฌ - |a-c| + |b-d|๋กœ ๊ตฌํ•˜๊ณ  ์†Œ์ˆ˜์  4์ž๋ฆฌ๊นŒ์ง€๋งŒ ์ถœ๋ ฅํ•˜๋ผ

SELECT ROUND(
    ABS(MIN(LAT_N)-MAX(LAT_N)) + 
    ABS(MIN(LONG_W)-MAX(LONG_W))
, 4)
FROM STATION;

์ ˆ๋Œ€๊ฐ’์„ ํ‘œํ˜„ํ•ด์ฃผ๋Š” ํ•จ์ˆ˜๋Š” ABS๋ฅผ ์‚ฌ์šฉํ•ด์„œ ์ ˆ๋Œ€๊ฐ’์„ ํ‘œํ˜„ํ•œ๋‹ค.

Weather Observation 19

Euclidean Distance = sqrt( (a-b)^2 +(c-d)^2 )๋กœ ๊ตฌํ•˜๊ณ  ์†Œ์ˆ˜์  4์ž ๊นŒ์ง€๋งŒ ์ถœ๋ ฅ

SELECT ROUND(
    SQRT(
        POWER(MIN(LAT_N) - MAX(LAT_N), 2) +
        POWER(MIN(LONG_W) - MAX(LONG_W), 2)
    )
, 4)
FROM STATION;

SQRT(ํ•„๋“œ)๋ฅผ ํ†ตํ•ด์„œ ๋ฃจํŠธ๋ฅผ ๋งค๊ฒจ์ฃผ๋Š” ํ•จ์ˆ˜

POWER(ํ•„๋“œ, ์ˆซ์ž)๋ฅผ ํ†ตํ•ด์„œ ํ•„๋“œ๋ฅผ ์ˆซ์ž๋งŒํผ ์ง€์ˆ˜ ์ฒ˜๋ฆฌํ•ด์ฃผ๋Š” ํ•จ์ˆ˜

Weather Observation 20

LAT_N์˜ ์ค‘์•™๊ฐ’์„ ์†Œ์ˆ˜์  4์ž๋ฆฌ ๊นŒ์ง€๋งŒ ์ถœ๋ ฅ

SELECT ROUND(
    MEDIAN(LAT_N), 4
)
FROM STATION;

์˜ค๋ผํด์—์„œ๋Š” ์ค‘์•™๊ฐ’์„ ์ฒ˜๋ฆฌํ•ด์ฃผ๋Š” MEDIAN ํ•จ์ˆ˜๊ฐ€ ์กด์žฌ

https://www.hackerrank.com/challenges/revising-aggregations-the-count-function/problem?isFullScreen=true
https://www.hackerrank.com/challenges/revising-aggregations-sum/problem?isFullScreen=true&h_r=next-challenge&h_v=zen
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