Metatron-discovery: Add validation interval on ingestion stage

Created on 14 Dec 2018  ยท  29Comments  ยท  Source: metatron-app/metatron-discovery

Is your feature request related to a problem? Please describe.
Like #1089 issue, A large duration of intervals and a low segment granularity cause a big problem in the ingestion performance of the engine.

Describe the solution you'd like

  • Prevents selection of segment granularity less than HOUR unit.
  • The number of segment granularity units in the interval period must not exceed 10000.

Describe alternatives you've considered

  • Add interval property on file/database ingesetion stage
  • validate interval property

    • If the current time, the interval property needs to be hidden.

Additional context
(N/A)

enhancement @datasource p1

Most helpful comment

@deidera08 ํ”ผ๋“œ๋ฐฑ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ^^;; ์ƒ๊ฐํ•ด๋ณด๋‹ˆ 1000๊ฐœ๋Š” ๋„ˆ๋ฌด ๋งŽ๋„ค์š”. year ๊ธฐ์ค€์ด๋ฉด...;;; 2000๋…„์˜ ๋ฒ”์œ„๊ฐ€ ๋˜๋‹ˆ ๋ฌธ์ œ๊ฐ€ ์žˆ์–ด ๋ณด์ž…๋‹ˆ๋‹ค. 100 ๋‹จ์œ„๋กœ ์ค„์—ฌ์„œ ์œ„์™€ ๊ฐ™์ด ์ง„ํ–‰ํ•˜๋ฉด ์–ด๋–จ๊นŒํ•˜๋Š”๋ฐ์š”. ๊ณ„์‚ฐ์‹์€ ๋ณต์žกํ•˜์ง€ ์•Š์•„ ๊ดœ์ฐฌ์„๋“ฏํ•œ๋ฐ์š”. @brandon-wonjune ์–ด๋–ป๊ฒŒ ์ƒ๊ฐํ•˜์‹œ๋Š”์ง€์š”? ์ฐธ๊ณ ๋กœ "[์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’+100๊ฐœ unit์— ํ•ด๋‹นํ•˜๋Š” ์‹œ๊ฐ„]" + ๊ฐ€ ์•„๋‹ˆ๋ผ - ๊ฐ€ ๋งž๊ฒŸ์ง€์š”? ^^;

All 29 comments

@AnnieHwang @deidera08 ์œ„์˜ ๋‚ด์šฉ ๊ธด๊ธ‰ํ•˜๊ฒŒ ํ™•์ธ ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

@kyungtaak @AnnieHwang

Segment granularity๊ฐ€ ์‹œ๊ฐ„ ๋‹จ์œ„ ์ดํ•˜์ธ ์‹œ๊ฐ„/๋ถ„/ ์ดˆ๋ฅผ ์„ ํƒ์‹œ์—๋งŒ ๋…ธ์ถœํ•˜๋Š”๊ฒƒ์œผ๋กœ ์ƒ๊ฐํ–ˆ์Šต๋‹ˆ๋‹ค(๊ธฐ๋ณธ hide)
์ž…๋ ฅ UI๋Š” Limited record count์™€ ๋™์ผํ•˜๊ฒŒ ๊ตฌ์„ฑํ•˜๋ฉฐ, ๊ธฐ๋ณธ์œผ๋กœ ์ž…๋ ฅ๋œ ๊ฐ’์€ ์—†๊ณ  10000์ด์ƒ ์ž…๋ ฅ์‹œ ๊ฒฝ๊ณ ๋ฌธ๊ตฌ ๋…ธ์ถœ๋ฉ๋‹ˆ๋‹ค.

1092intervalperiodfile
1092intervalperioddb
์ถ”๊ฐ€: current time์œผ๋กœ ์ง€์ •ํ–ˆ์„ ๊ฒฝ์šฐ ์ด ์„ค์ • ๋…ธ์ถœ๋˜์ง€ ์•Š์Œ

๋ณด์™„ํ•ด์•ผ ํ•  ์  ์žˆ์œผ๋ฉด ๊ฐ€์ด๋“œ ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

@deidera08 ๋„ค ๊ธฐํš๋‚ด์šฉ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ, stageDB ์™€ ๋™์ผํ•˜๊ฒŒ interval ๊ธฐ๊ฐ„์„ ์ง€์ •ํ• ์ˆ˜ ์žˆ๋Š” ๊ณต๊ฐ„์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. (interval period ๋Š” ์–ด๋–ค๋ชฉ์ ์ด์‹ ์ง€...) ๊ทธ๋ฆฌ๊ณ , ์ธํ„ฐ๋ฒŒ ๊ธฐ๊ฐ„ ๊ทธ๋ฆฌ๊ณ  granularity ๋‹จ์œ„๋ฅผ ๋ฐ›์•„ ์ด๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ๋‹จ์œ„๊ฐ€ 10000 ๊ฐœ๊ฐ€ ๋„˜๋Š” ๊ฒฝ์šฐ ์ € ๋ฉ”์‹œ์ง€๊ฐ€ ๋‚˜ํƒ€๋‚˜๊ฒŒ๋” ํ•˜๋Š” ๊ฒƒ์„ ์˜๋„ํ–ˆ์–ด์š”. (๊ธฐ์กด stagedb ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค.)

@kyungtaak @AnnieHwang
์ดˆ์•ˆ์˜ interval period ๋Š” ์œ ์ €๊ฐ€ Segment granularity unit๋ฅผ ์ž…๋ ฅํ•จ์œผ๋กœ์จ ์ž๋™์œผ๋กœ Interval ๊ธฐ๊ฐ„์ด ์ž๋™ ์‚ฐ์ถœ๋ ๊ฒƒ์ด๋ผ๊ณ  ์ƒ๊ฐํ–ˆ์Šต๋‹ˆ๋‹ค. ์ œ๊ฐ€ ์ƒํ™ฉ ์ดํ•ด๋ฅผ ์ž˜ ๋ชปํ•œ๋“ฏ ํ•˜๋„ค์š”.

์งˆ๋ฌธ์ด ์žˆ์Šต๋‹ˆ๋‹ค.

  1. Segment granularity์˜ interval ๊ธฐ๊ฐ„์€ ๋ฐ์ดํ„ฐ ๋ฒ”์œ„(range)์™€ ์–ด๋–ป๊ฒŒ ๋‹ค๋ฅด๋‚˜์š”?
  2. interval ๊ธฐ๊ฐ„ ์ž…๋ ฅ ํ•„๋“œ์™€ granularity ๋‹จ์œ„ ์ž…๋ ฅ ํ•„๋“œ ๊ฐ๊ฐ์ด ํ•„์š”ํ•œ๊ฐ€์š”?
    ์˜ˆ์‹œ1)
    Interval period: [yyyy-MM-dd hh:mm:ss] ~ [yyyy-MM-dd hh:mm:ss]
    Segment granularity unit: [10,000] units

์•„๋‹ˆ๋ฉด interval ๊ธฐ๊ฐ„์— ๋”ฐ๋ผ ์ž๋™ granularity ๋‹จ์œ„๊ฐ€ ์‚ฐ์ถœ๋˜๋‚˜์š”?
์˜ˆ์‹œ2)
Interval period: [yyyy-MM-dd hh:mm:ss] ~ [yyyy-MM-dd hh:mm:ss]
12,345 segment granularity units

๋ชจ์ชผ๋ก ๊ฐ€์ด๋“œ๋ฅผ ๋ถ€ํƒ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.

@kyungtaak @AnnieHwang

๋‹ค์Œ๊ณผ ๊ฐ™์ด ํ™”๋ฉด์„ ์ˆ˜์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
1092interval period file
1092interval period db
1092interval period stagingdb

ํ‘œํ˜„์ด ์ž˜๋ชป๋˜์—ˆ๊ฑฐ๋‚˜ ๋ถ€์กฑํ•œ ๋ถ€๋ถ„ ์žˆ์œผ๋ฉด ๋ชจ์ชผ๋ก ํ”ผ๋“œ๋ฐฑ/๊ฐ€์ด๋“œ ๋ถ€ํƒ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.

@AnnieHwang ๋””์ž์ธ ๊ณต์œ ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
image

@AnnieHwang @koeun222 Interval period ๋ถ€๋ถ„์ด Segment Granularity ์ฝค๋ณด ๋ฐ•์Šค ๋ฐ”๋กœ ๋ฐ‘์— ๋ถ™์–ด ์žˆ์–ด ์ข€ ์–ด์ƒ‰ํ•œ๊ฒƒ ๊ฐ™์€๋ฐ์š”.
๋‘˜๋‹ค ๋™์ผ๋ ˆ๋ฒจ์ด์–ด์•ผํ• ๊ฒƒ ๊ฐ™์•„์š”. Query Granularity ๋ฅผ ๋งจ์œ„๋กœ ์˜ฌ๋ฆฌ๊ณ  ๋‚˜๋จธ์ง€ ๋‘๊ฐœ๋ฅผ ๊ฐ™์€ ๋ ˆ๋ฒจ๋กœ ์•„๋ž˜์— ๋†“์œผ๋ฉด ์–ด๋–จ๋Ÿฐ์ง€์š”?

@kyungtaak @AnnieHwang

์ œ๊ฐ€ ์ž˜ ๋ชฐ๋ผ์„œ ์žฌ์ฐจ ์—ฌ์ญ™๊ฒŒ ๋˜์–ด ์†ก๊ตฌํ•ฉ๋‹ˆ๋‹ค.
Interval period์ด Segment Granularity๊ฐ€ hour๋‹จ์œ„ ์ดํ•˜์ผ๋•Œ๋งŒ(์‹œ, ๋ถ„, ์ดˆ) ๋…ธ์ถœ๋˜๋Š” ์†์„ฑ์ด ๋งž๋Š”์ง€์š”?

@deidera08 ์•„.. ๋†“์ณค๋˜ ๊ฒƒ์„ ์งš์–ด์ฃผ์…จ๋„ค์š”. ์ด๊ฑด ์•„๋ž˜ timefilter์™€ ๋™์ผํ•œ ์กฐ๊ฑด์œผ๋กœ ํ•ด์•ผํ• ๊ฒƒ ๊ฐ™๋‹ค๋Š” ์ƒ๊ฐ์ด ๋“ญ๋‹ˆ๋‹ค.
image

@kyungtaak @AnnieHwang
๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ˆ˜์ •ํ•˜์˜€์Šต๋‹ˆ๋‹ค.
1. ์ˆœ์„œ ๋ณ€๊ฒฝ
- Query granularity
- Segment granularity
- Intervals (ํƒ€์ดํ‹€๋ช… ์ˆ˜์ •, Segment granularity ๋‹จ์œ„๊ฐ€ hour์ผ๋•Œ๋งŒ ๋…ธ์ถœ)

  1. ๋ ˆ๋ฒจ ์กฐ์ •
    Intervals ์„ค์ •์„ Query/Segment granularity์™€ ๊ฐ™์€ ๋ ˆ๋ฒจ๋กœ ํ‘œํ˜„ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

  2. ๊ฐ€์ด๋“œ ๋ฌธ๊ตฌ ์ถ”๊ฐ€ (Segment granularity๋Š” ๊ธฐ์กด์˜ ๊ฐ€์ด๋“œ์— ์ถ”๊ฐ€ ์ž‘์„ฑ)
    3-1. What is Segment granularity?
    The granularity to create segments at.
    Druid data is stored in "datasources" and each datasource is partitioned by time. Each time range is called a "chunk" (for example, a single month, if your datasource is partitioned by month).
    Within a chunk, data is partitioned into one or more "segments". Each segment is a single file, typically comprising up to a few million rows of data.

์„ธ๊ทธ๋จผํŠธ ๋‹จ์œ„๋Š” ๋ฌด์—‡์ธ๊ฐ€์š”?
์„ธ๊ทธ๋จผํŠธ๋ฅผ ์ƒ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ๋‹จ์œ„์ž…๋‹ˆ๋‹ค.
๋ฐ์ดํ„ฐ์†Œ์Šค๋Š” ์‹œ๊ฐ„์— ์˜ํ•œ ๋ถ„ํ• ๋˜์–ด Druid์— ์ €์žฅ๋ฉ๋‹ˆ๋‹ค. ์ด๋•Œ ๊ฐ ์‹œ๊ฐ„ ๋ฒ”์œ„๋ฅผ "์ฒญํฌ"๋ผ๊ณ  ํ•ฉ๋‹ˆ๋‹ค(์˜ˆ. ์›”๋กœ ์„ค์ •์‹œ ๋ฐ์ดํ„ฐ์†Œ์Šค๋Š” ์›” ๋‹จ์œ„๋กœ ๋ถ„ํ• ๋จ).
์ฒญํฌ ๋‚ด์—์„œ ๋ฐ์ดํ„ฐ๋Š” ํ•˜๋‚˜ ์ด์ƒ์˜ "์„ธ๊ทธ๋จผํŠธ"๋กœ ๋ถ„ํ• ๋ฉ๋‹ˆ๋‹ค. ๊ฐ ์„ธ๊ทธ๋จผํŠธ๋Š” ๋‹จ์ผ ํŒŒ์ผ๋กœ, ์ผ๋ฐ˜์ ์œผ๋กœ ์ตœ๋Œ€ ์ˆ˜๋ฐฑ๊ฐœ ํ–‰์˜ ๋ฐ์ดํ„ฐ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค.

3-2. What is Intervals?
This defines the time ranges to run the query over.
One segment file is created for each time interval.

๊ฐ„๊ฒฉ์ด๋ž€ ๋ฌด์Šจ ์˜๋ฏธ์ธ๊ฐ€์š”?

์ฟผ๋ฆฌ๋ฅผ ์‹คํ–‰ํ•  ์‹œ๊ฐ„ ๋ฒ”์œ„๋ฅผ ๋œปํ•ฉ๋‹ˆ๋‹ค.
๊ฐ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ๋งˆ๋‹ค ํ•˜๋‚˜์˜ ์„ธ๊ทธ๋จผํŠธ ํŒŒ์ผ์„ ํ˜•์„ฑํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

1092intervals_file03
1092intervals_db03
1092intervals_stagingdb03

ํ‘œํ˜„์ด ์ž˜๋ชป๋˜์—ˆ๊ฑฐ๋‚˜ ๋ถ€์กฑํ•œ ๋ถ€๋ถ„ ์žˆ์œผ๋ฉด ํ”ผ๋“œ๋ฐฑ&๊ฐ€์ด๋“œ ๋ถ€ํƒ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค!

์ง„ํ–‰์‹œ #646 ์ด์Šˆ๋„ ํ•จ๊ป˜ ํ™•์ธ์ด ํ•„์š”ํ• ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค. @deidera08 ์œ„ ์ •์ฑ…๋Œ€๋กœ ํ•œ๋‹ค๋ฉด ์ƒ์„ธ ํ™”๋ฉด์ด๋‚˜ ์ตœ์ข… ์š”์•ฝ ํ™”๋ฉด์—๋„ ์˜ํ–ฅ์ด ์žˆ๋Š”์ง€ ํ™•์ธ ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

@kyungtaak @AnnieHwang

๋ฐ์ดํ„ฐ์†Œ์Šค ์ƒ์„ฑ ๋งˆ์ง€๋ง‰ ๋‹จ๊ณ„์™€ ๋ฐ์ดํ„ฐ์†Œ์Šค ์ƒ์„ธํ™”๋ฉด ์ถ”๊ฐ€ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

StagingDB ์ƒ์„ฑ ๋งˆ์ง€๋ง‰ ๋‹จ๊ณ„
2019-01-01 11 20 23

๋ฐ์ดํ„ฐ์†Œ์Šค ์ƒ์„ธํ™”๋ฉด
2019-01-01 11 20 34

๊ทธ ์™ธ ํ™”๋ฉด์€ ppt๋กœ ์ฒจ๋ถ€ํ•ฉ๋‹ˆ๋‹ค.
#1092Intervals.pptx

@deidera08 ์ œ์ƒ๊ฐ์—๋Š” duration ์„ ๋นผ๊ณ  Interval ๋กœ ํ†ต์ผํ–ˆ์œผ๋ฉด ํ•˜๋Š”๋ฐ์š”. ์–ด๋–ป๊ฒŒ ์ƒ๊ฐํ•˜์‹œ๋Š”์ง€์š”?

@kyungtaak @deidera08 ๋ง์”€ํ•˜์‹  ์˜๋ฏธ๊ฐ€ Data range ์„ค์ •์„ ๋นผ๊ณ , interval๋กœ ํ•˜์ž๋Š” ๋ง์”€์ด์‹ ๊ฐ€์š”? ๊ทธ๋Ÿฌ๋ฉด Segment Granualrity๋ฅผ ์„ ํƒํ•ด์•ผ์ง€๋งŒ interval ๋‹จ์œ„๊ฐ€ ๋งž์ถฐ์ง€๊ณ  ์„ ํƒํ• ์ˆ˜ ์žˆ๋Š”๋ฐ ๊ดœ์ฐฎ์€๊ฐ€์š”?

@AnnieHwang ์ œ๊ฐ€ Data Range(Duration) ์˜ ์˜๋ฏธ๋ฅผ ์ œ๋Œ€๋กœ ํŒŒ์•…ํ•˜์ง€ ๋ชปํ–ˆ๋„ค์š”.

  • segment granularity ๋Š” ๋ฌด์กฐ๊ฑด ์„ ํƒ์ด ๋˜๋Š”๊ฒƒ์œผ๋กœ ์•Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋งž๋‚˜์š”? ๊ทธ๋ฆฌ๊ณ , segment granularity ๊ฐ€ hour ์ธ ๊ฒฝ์šฐ๋งŒ ๋‚˜์˜ค๋Š”๊ฒƒ์€ ์–ด์ƒ‰ํ•ฉ๋‹ˆ๋‹ค.
  • ๊ทธ๋ฆฌ๊ณ  ์ƒ์„ธ ํ™”๋ฉด์—์„œ ์ ์žฌ ์‹œ์ ์˜ interval ๊ฐ’(์‚ฌ์šฉ์ž๊ฐ€ ์ง€์ •)๊ณผ ์ƒ์„ธ์˜ Data Range(์‹ค์ œ ๋ฐ์ดํ„ฐ ๋ฒ”์œ„) ๋Š” ๋‹ค๋ฅผ ์ˆ˜ ์žˆ๊ฒ ์ง€๋งŒ, ๋‘๊ฐœ์˜ ๊ฐ’์ด ๋‚˜์™€ ๋ฒ„๋ฆฌ๋ฉด ๋ฌด์ฒ™ ํ–‡๊น”๋ฆด๊ฒƒ ๊ฐ™์•„ ๋ง์”€๋“œ๋ฆฐ ๊ฒƒ์ด์—ˆ๋Š”๋ฐ์š”. ์œ„์˜ ๋Œ“๊ธ€์€ ๋ฌด์‹œํ•ด์ฃผ์‹œ๊ณ ์š”. ๊ฒฐ๋ก ์ ์œผ๋กœ ์ƒ์„ธ ์—์„œ๋Š” interval ์ด ๋‚˜์˜ค์ง€ ์•Š์•„๋„ ๋ ๊ฒƒ ๊ฐ™์€๋ฐ์š”. ๊ฒ€ํ†  ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

@kyungtaak @AnnieHwang
๊ฐ€์ด๋“œ ์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค :) ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ •๋ฆฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

  1. segment granularity ๋‹จ์œ„์™€ ์ƒ๊ด€์—†์ด interval ์ƒ์‹œ ๋…ธ์ถœ
    segment granularity๋Š” ํ•„์ˆ˜ ์„ ํƒ์ด๋ฏ€๋กœ ๋ฌด์กฐ๊ฑด ๋…ธ์ถœ๋ฉ๋‹ˆ๋‹ค.
    ๊ธฐ์กด์˜ segment granularity ๋‹จ์œ„๊ฐ€ ์‹œ/๋ถ„/์ดˆ ์ผ ๋•Œ interval์ด ๋…ธ์ถœ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๊ธฐํšํ•˜์˜€์œผ๋‚˜ segment granularity ๋‹จ์œ„๊ฐ€ ๋ถ„/์ดˆ ๋Š” ์‚ญ์ œ๋˜์—ˆ์œผ๋ฏ€๋กœ ์‹œ๊ฐ„์ผ ๊ฒฝ์šฐ๋งŒ interval์ด ๋…ธ์ถœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
    ๊ฐ€์ด๋“œ์ฃผ์‹ ๋Œ€๋กœ ๊ผญ ์‹œ๊ฐ„์ผ ๊ฒฝ์šฐ๋งŒ interval ์„ค์ •์ด ํ•„์š”ํ•œ ๊ฒƒ์€ ์•„๋‹ˆ๋ฏ€๋กœ segment granularity ๋‹จ์œ„ ์ƒ๊ด€์—†์ด ํƒ€์ž„์Šคํƒฌํ”„์˜ ์„ค์ •๊ฐ’์œผ๋กœ interval ๋˜ํ•œ ์ƒ์‹œ๋…ธ์ถœ ํ•˜๋Š”๊ฒƒ์œผ๋กœ ์ˆ˜์ •ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

  2. Data Range(Duration) ๋ณด์กด
    ๊ฐ€์ด๋“œ ์ฃผ์‹ ๋Œ€๋กœ Data Range์™€ interval ๊ธฐ๊ฐ„์ด ๋‹ค๋ฅผ ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ๊ฐ๊ฐ ์œ ์ง€ํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

  3. information์—์„œ (์ƒํ™ฉ์— ๋”ฐ๋ผ) interval ๋…ธ์ถœ
    ๋Œ€๋ถ€๋ถ„์˜ ์ƒํ™ฉ์—์„œ Data Range์™€ interval ๊ธฐ๊ฐ„์ด ๊ฐ™๊ฒ ์Šต๋‹ˆ๋‹ค๋งŒ, ์œ ์ €๊ฐ€ ์ผ์น˜ํ•˜์ง€ ์•Š๋„๋ก ์„ค์ •ํ•œ ๊ฒฝ์šฐ informationํ™”๋ฉด์—์„œ ๋…ธ์ถœ์‹œํ‚ค๋ฉด ์ข‹์„๋“ฏ ํ•ฉ๋‹ˆ๋‹ค.
    ์œ ์ €๊ฐ€ ์ž„์˜์„ค์ •ํ•œ ๊ฐ’์€ ์ƒ์„ธํ™”๋ฉด์—์„œ๋Š” ์ •๋ณด๋กœ์จ ์•Œ๋ ค์ค˜์•ผ ํ•  ๋“ฏ ์‹ถ์Šต๋‹ˆ๋‹ค.
    2019-01-02 2 09 10

์ˆ˜์ •ํ•œ ํ™”๋ฉด ppt๋กœ ์ฒจ๋ถ€ํ•ฉ๋‹ˆ๋‹ค.
#1092Intervals_20190102.pptx

@kyungtaak
์ œ ๋Œ“๊ธ€ ๋งˆ์ง€๋ง‰๋งŒ ์ง€์šฐ๋ ค๋‹ค๊ฐ€ ๊ฐ™์ด ์ง€์›Œ์กŒ๋„ค์š”... ์ฃ„์†กํ•ฉ๋‹ˆ๋‹ค.

๋ง์”€ํ•˜์‹  ๊ฒƒ์ฒ˜๋Ÿผ

(์ข…๋ฃŒ์‹œ๊ฐ„ millis. - ์‹œ์ž‘์‹œ๊ฐ„ millis.) / granularity unit millis < 10000

๋กœ ์ ์šฉํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

@kyungtaak ๋ฌธ์˜์‚ฌํ•ญ์ด ์žˆ์Šต๋‹ˆ๋‹ค

  1. ingestion setting ์ดˆ๊ธฐํ™”๋ฉด์— intervals ๋ฅผ ์ง€์ •ํ• ์ˆ˜ ์žˆ๋Š”๊ฒฝ์šฐ (TIMESTAMP๊ฐ€ current๊ฐ€ ์•„๋‹Œ๊ฒฝ์šฐ)
    ๊ธฐํš์ƒ ์‹ค์ œ ์ปฌ๋Ÿผ์˜ ๋ฐ์ดํ„ฐ์˜ ๊ณผ๊ฑฐ๊ฐ’๊ณผ ์ตœ์‹ ๊ฐ’์„ default๋กœ ์ง€์ •ํ•˜๋„๋ก ๋˜์–ด์žˆ๋Š”๋ฐ์š”
    ํ˜„์žฌ ์„œ๋ฒ„์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์กฐํšŒํ–ˆ์„๋•Œ column์˜ ๋ฐ์ดํ„ฐ๋Š” ๋ช‡ ๊ฑด์œผ๋กœ ์ œํ•œ์„ ๋‘๊ณ  ๊ฐ€์ ธ์˜ค๊ณ ์žˆ๋‚˜์š”?
    ๋งŒ์•ฝ ๊ทธ๋ ‡๋‹ค๋ฉด ๊ณผ๊ฑฐ๊ฐ’๊ณผ ์ตœ์‹ ๊ฐ’์„ ๋”ฐ๋กœ ๋ฐ›์„์ˆ˜์žˆ์„๊นŒ์š”?
  1. ๋ฐ์ดํ„ฐ์†Œ์Šค ์ƒ์„ฑ์‹œ params๋Š” ์–ด๋–ค ๊ฐ’์œผ๋กœ ์ถ”๊ฐ€ํ•˜๋ฉด๋˜๋‚˜์š”?

@deidera08 @brandon-wonjune ์ „์ฒด ๋ฐ์ดํ„ฐ๋Š” ์–ด๋ ต๊ณ , ์ฒซ timestamp ๊ฐ’์„ ๊ธฐ์ค€์œผ๋กœ interval ๊ฐ’์„ ์ •ํ•˜๋Š”๊ฒƒ์€ ์–ด๋–จ๋Ÿฐ์ง€์š”? ๊ทธ ์‹œ๊ฐ„ ๊ธฐ์ค€ ์•ž๋’ค 1000 ๊ฐœ unit ์œผ๋กœ ํ•˜๋Š”๊ฒƒ๋„ ๋ฐฉ๋ฒ•์ผ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.

@kyungtaak
์งˆ๋ฌธ์ด ์žˆ์Šต๋‹ˆ๋‹ค.

@deidera08 @brandon-wonjune ์ „์ฒด ๋ฐ์ดํ„ฐ๋Š” ์–ด๋ ต๊ณ , ์ฒซ timestamp ๊ฐ’์„ ๊ธฐ์ค€์œผ๋กœ interval ๊ฐ’์„ ์ •ํ•˜๋Š”๊ฒƒ์€ ์–ด๋–จ๋Ÿฐ์ง€์š”? ๊ทธ ์‹œ๊ฐ„ ๊ธฐ์ค€ ์•ž๋’ค 1000 ๊ฐœ unit ์œผ๋กœ ํ•˜๋Š”๊ฒƒ๋„ ๋ฐฉ๋ฒ•์ผ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.

๊ทธ๋ ‡๋‹ค๋ฉด interval์˜ ๊ฐ’์ด timestamp ์ปฌ๋Ÿผ ๋‚ด ๋ฐ์ดํ„ฐ๊ฐ’์˜ ๋ฒ”์œ„๋ฅผ ๋ฒ—์–ด๋‚  ์ˆ˜ ์žˆ๋‚˜์š”?
์˜ˆ๋ฅผ๋“ค๋ฉด timestamp ์ปฌ๋Ÿผ์˜ ๋ฐ์ดํ„ฐ๊ฐ’ ๋ฒ”์œ„๊ฐ€ 2017-01-01 ~ 2017-02-28 ์ด๋ผ๊ณ  ๊ฐ€์ •ํ• ๋•Œ
Interval์˜ ๊ธฐ๋ณธ ์ดˆ๊ธฐ๊ฐ’์ด 2017-01-01 ~ 2017-03-31 ์™€ ๊ฐ™์€ ๊ฐ’์œผ๋กœ ์„ค์ •๋  ์ˆ˜ ์žˆ๋‚˜์š”?(์ด๋ ‡๊ฒŒ ์„ค์ •๋˜์–ด๋„ ๋ฌด๋ฐฉํ•œ๊ฐ€์š”?)

@deidera08
interval์˜ ๊ฐ’์ด timestamp ์ปฌ๋Ÿผ ๋‚ด ๋ฐ์ดํ„ฐ๊ฐ’์˜ ๋ฒ”์œ„์™€ ๊ฐ™๊ฑฐ๋‚˜ ํฌ๊ฒŒ ์žก์•„ ์ฃผ์–ด์•ผํ–ก๋‹ˆ๋‹ค. ๊ทธ๋ ‡์ง€ ์•Š์œผ๋ฉด ์ „์ฒด ๋ฐ์ดํ„ฐ๊ฐ€ ์ ์žฌ ๋˜์ง€ ์•Š์•„์š”. ๊ทธ๋ž˜์„œ timestamp ์ปฌ๋Ÿผ ๋ฒ”์œ„๋ฅผ ์ •ํ™•ํžˆ ์•Œ์ˆ˜ ์—†์œผ๋‹ˆ, ์—ฌ์œ ๋ฅผ ๋‘์–ด ์•ž๋’ค ์ฒซ์ค„์— ์žˆ๋Š” ์‹œ๊ฐ„๊ฐ’ ๊ธฐ์ค€ ์•ž๋’ค๋กœ 1000๊ฐœ unit ์œผ๋กœ ์ง€์ •ํ•˜๋ฉด ์–ด๋–จ๊นŒ ํ–ˆ์—ˆ์Šต๋‹ˆ๋‹ค.

@kyungtaak @AnnieHwang @brandon-wonjune
์นœ์ ˆํ•œ ๊ฐ€์ด๋“œ ์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค :)

์ด์Šˆ์˜ ์‹œ์ž‘์€ segment unit์ˆ˜๊ฐ€ 10,000๊ฐœ๊ฐ€ ๋„˜์„ ๊ฒฝ์šฐ๋ฅผ ์šฐ๋ คํ•˜์—ฌ UI์ƒ์—์„œ ์ด ๊ตฌ๊ฐ„์„ ์ค„์—ฌ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ์‹œ์ž‘๋˜์—ˆ์Šต๋‹ˆ๋‹ค๋งŒ, ๋ฐฐ์น˜๋˜๋Š” ์ƒํ™ฉ์ด๊ธด ํ•˜๋„ค์š”
๊ฒฐ๋ก ์ ์œผ๋กœ ๋ดค์„๋•Œ (๊ฐ€์ด๋“œ ์ฃผ์‹ ๋Œ€๋กœ) 10,000๊ฐœ๊ฐ€ ๋„˜๊ฑฐ๋‚˜ ๋˜๋Š” ์ „์ฒด ๋ฐ์ดํ„ฐ๊ฐ’์„ ์•Œ๊ธฐ ์–ด๋ ค์›Œ ์ „์ฒด ๋ฐ์ดํ„ฐ๋ฅผ ์ ์žฌ ๋ชปํ•˜๋Š” ์ƒํ™ฉ์ด ๋ฐœ์ƒ๋  ์—ฌ์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
Interval๊ธฐ๊ฐ„์ด ๋„‰๋„‰ํ•ด์•ผ ํ•œ๋‹ค๋Š” ์ทจ์ง€์˜ ๋ฌธ๊ตฌ๋ฅผ ์ถ”๊ฐ€ํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

๋ฌธ๊ตฌ: ๊ฐ„๊ฒฉ์˜ ์„ค์ •๊ฐ’์€ ํƒ€์ž„์Šคํƒฌํ”„ ์ปฌ๋Ÿผ์˜ ๋ฐ์ดํ„ฐ๊ฐ’ ๋ฒ”์œ„์™€ ๊ฐ™๊ฑฐ๋‚˜ ์ปค์•ผํ•˜๋ฉฐ, ์ด ๊ตฌ๊ฐ„์— ์˜ํ•œ ์„ธ๊ทธ๋จผํŠธ ๊ฐฏ์ˆ˜๊ฐ€ 10,000๊ฐœ๊ฐ€ ๋„˜์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
The interval should set equal to or greater than the range of data values in the timestamp column, and the number of segments units cannot exceed 10,000.


๋ฐ์ดํ„ฐ์˜ ์ดˆ๊ธฐ๊ฐ’์€ ์ตœ์†Œ 50row์ •๋ณด๋Š” ๊ฐ–๊ณ  ์˜ค๊ธฐ ๋•Œ๋ฌธ์— 1์ฐจ์ ์œผ๋กœ 50row๋ฅผ ํ™œ์šฉํ•˜๋ฉด ์–ด๋–จ๊นŒ ์‹ถ์Šต๋‹ˆ๋‹ค.

  1. ๋ฐ์ดํ„ฐ๊ฐ€ 50row ์ดํ•˜์ผ ๊ฒฝ์šฐ ํƒ€์ž„์Šคํƒฌํ”„ ์ปฌ๋Ÿผ์˜ ์ „์ฒด ๋ฐ์ดํ„ฐ๊ฐ’ ํ™œ์šฉ
    interval ์ดˆ๊ธฐ๊ฐ’: [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’]

  2. ๋ฐ์ดํ„ฐ๊ฐ€ 50row ์ด์ƒ์ผ ๊ฒฝ์šฐ (์ตœ๋Œ€)50๊ฐœ ๋‚ด ํƒ€์ž„ํ”„ํƒฌํ”„์˜ ์ปฌ๋Ÿผ์˜ ๋ฐ์ดํ„ฐ๊ฐ’ ํ™œ์šฉ
    a. 1์ฐจ์ ์œผ๋กœ 2๋ฒˆ์˜ [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’]๊ธฐ์ค€ unit์ˆ˜ ์‚ฐ์ถœ

b. a์˜ unit์ˆ˜๊ฐ€ 8,000๋ฏธ๋งŒ์ผ ๊ฒฝ์šฐ
interval ์ดˆ๊ธฐ๊ฐ’: [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’+1000๊ฐœ unit์— ํ•ด๋‹นํ•˜๋Š” ์‹œ๊ฐ„] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’+1000๊ฐœ unit์— ํ•ด๋‹นํ•˜๋Š” ์‹œ๊ฐ„]

c. a์˜ unit์ˆ˜๊ฐ€ 8,000๊ฐœ ์ด์ƒ 9,000๊ฐœ ๋ฏธ๋งŒ์ผ ๊ฒฝ์šฐ
interval ์ดˆ๊ธฐ๊ฐ’: [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’+1000๊ฐœ unit์— ํ•ด๋‹นํ•˜๋Š” ์‹œ๊ฐ„]

d. a์˜ unit์ˆ˜๊ฐ€ 9,000๊ฐœ ์ด์ƒ 10,000๊ฐœ ๋ฏธ๋งŒ์ผ ๊ฒฝ์šฐ
interval ์ดˆ๊ธฐ๊ฐ’: [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’]

e. a์˜ unit์ˆ˜๊ฐ€ 10,000๊ฐœ ์ด์ƒ์ผ ๊ฒฝ์šฐ
interval ์ดˆ๊ธฐ๊ฐ’: [์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’] ~ [์ œ์ผ ์ตœ์‹ ๊ฐ’], ๊ฒฝ๊ณ  ๋…ธ์ถœ

๊ทธ๋Ÿฐ๋ฐ ์œ„์™€ ๊ฐ™์€ ๊ทœ์น™์„ ์žก์•˜์„๋•Œ ๊ณ„์‚ฐ์œผ๋กœ ์ธํ•˜์—ฌ ํ™”๋ฉด ํผํฌ๋จผ์„œ ์ €ํ•˜๊ฐ€ ์ผ์–ด๋‚˜์ง€ ์•Š์„๋Ÿฐ์ง€์š”?
์™œ๋ƒ๋ฉด ๋ฐ”๋กœ ์ƒ๋‹จ์˜ Segment granularity ๋‹จ์œ„๋ฅผ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ, ์ด ๋‹จ์œ„๊ฐ’์— ๋”ฐ๋ผ interval์˜ ํ‘œํ˜„ ๋‹จ์œ„๊ฐ€ ๋‹ฌ๋ผ์ง€๊ณ , ์ด์— ๋งž์ถฐ interval์˜ ์ดˆ๊ธฐ๊ฐ’๊ณผ Segment units๊ฐ€ ์ž๋™ ์‚ฐ์ถœ๋˜์–ด์•ผ ํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

๋ชจ์ชผ๋ก ๊ฒ€ํ† ๋ฅผ ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

@deidera08 ํ”ผ๋“œ๋ฐฑ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ^^;; ์ƒ๊ฐํ•ด๋ณด๋‹ˆ 1000๊ฐœ๋Š” ๋„ˆ๋ฌด ๋งŽ๋„ค์š”. year ๊ธฐ์ค€์ด๋ฉด...;;; 2000๋…„์˜ ๋ฒ”์œ„๊ฐ€ ๋˜๋‹ˆ ๋ฌธ์ œ๊ฐ€ ์žˆ์–ด ๋ณด์ž…๋‹ˆ๋‹ค. 100 ๋‹จ์œ„๋กœ ์ค„์—ฌ์„œ ์œ„์™€ ๊ฐ™์ด ์ง„ํ–‰ํ•˜๋ฉด ์–ด๋–จ๊นŒํ•˜๋Š”๋ฐ์š”. ๊ณ„์‚ฐ์‹์€ ๋ณต์žกํ•˜์ง€ ์•Š์•„ ๊ดœ์ฐฌ์„๋“ฏํ•œ๋ฐ์š”. @brandon-wonjune ์–ด๋–ป๊ฒŒ ์ƒ๊ฐํ•˜์‹œ๋Š”์ง€์š”? ์ฐธ๊ณ ๋กœ "[์ œ์ผ ๊ณผ๊ฑฐ๊ฐ’+100๊ฐœ unit์— ํ•ด๋‹นํ•˜๋Š” ์‹œ๊ฐ„]" + ๊ฐ€ ์•„๋‹ˆ๋ผ - ๊ฐ€ ๋งž๊ฒŸ์ง€์š”? ^^;

@kyungtaak ๋„ต ์•Œ๊ฒ ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฌ๋ฉด ์•„๋ž˜์™€ ๊ฐ™์ด ์ ์šฉํ•˜๋„๋ก ์ง„ํ–‰ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

1. 10000๊ฑด์ด ๋„˜๋Š”๊ฒฝ์šฐ unit์„ ์ถ”๊ฐ€ํ•˜์ง€์•Š๊ณ 
2. 10000๊ฑด์ด ๋„˜์ง€์•Š๋Š”๊ฒฝ์šฐ unit์„ ์ถ”๊ฐ€
2-1. 10000๊ฑด์ด ๋„˜์ง€์•Š๋Š”๊ฒฝ์šฐ ์ค‘ 9800~9900 ๊ฑด ์‚ฌ์ด ์ธ๊ฒฝ์šฐ ๊ณผ๊ฑฐ๊ฐ’๋งŒ unit 100 ๋นผ๊ธฐ
2-2. 10000๊ฑด์ด ๋„˜์ง€์•Š๋Š”๊ฒฝ์šฐ ์ค‘ 9800๊ฑด ๋ฏธ๋งŒ ์ธ๊ฒฝ์šฐ ๊ณผ๊ฑฐ๊ฐ’๊ณผ ๋ฏธ๋ž˜๊ฐ’ ์•ž๋’ค๋กœ unit 100๋”ํ•˜๊ธฐ

@kyungtaak
์œ„์™€ ๊ฐ™์ด ์ž‘์—…์„ ์™„๋ฃŒํ•˜์˜€๋Š”๋ฐ์š”.
์ƒ์„ฑ์‹œ์— interval์— ๋Œ€ํ•œ ๊ฐ’์€ ์–ด๋–ค ํŒŒ๋ผ๋ฉ”ํ„ฐ๋กœ ๋˜์ง€๊ณ  ์ƒ์„ธํ™”๋ฉด์—์„œ๋Š” ์–ด๋–ค ํŒŒ๋ผ๋ฉ”ํ„ฐ๊ฐ€ ๋‚ด๋ ค์˜ค๋‚˜์š”?

@brandon-wonjune ๋ชจ๋“  ingestion ํƒ€์ž…์— intervals ๊ฐ’์„ ๋„ฃ์„์ˆ˜ ์žˆ๋„๋ก ์ˆ˜์ •ํ•ด๋‘์—ˆ์Šต๋‹ˆ๋‹ค.

{
    ...
    "ingestion": {
        "type": "local",
        "path": "/path/t.csv",
        "removeFirstRow": false,
        "format": {
            "type": "csv",
            "delimeter": " ",
            "lineSeparator": "\n"
        },
        "intervals": [
            "2000-01-01T00:00:00.000Z/2020-01-01T00:00:00.000Z"
        ]
    },
    "fields": [
        ...
    ],
    ...
}

@kyungtaak

  1. current_time์ผ๋•Œ๋Š” default๋กœ ์ธํ„ฐ๋ฒŒ์„ ์„ค์ •ํ•  ํ•„์š”๋Š” ์—†๋‚˜์š”?
  2. stagingDB์˜ ๊ฒฝ์šฐ ๊ธฐ์กด์— datarange ๊ฐ’์— ๋Œ€ํ•ด intervals ํŒŒ๋ผ๋ฉ”ํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์—ˆ๋Š”๋ฐ์š”
    ์ด๋ฒˆ ์ด ์ด์Šˆ์— ๋‚˜์˜จ interval์ด ์ด ๊ธฐ๋Šฅ์„ ๋Œ€์ฒดํ•˜๋Š”๊ฑด๊ฐ€์š”? ์•„๋‹ˆ๋ฉด ๋ฎ์–ด์”Œ์›Œ์•ผ๋˜๋‚˜์š”?
    ์•„๋ž˜ํ™”๋ฉด์ž…๋‹ˆ๋‹ค
    2019-01-11 3 56 02

@brandon-wonjune ๋‹ต๋ณ€๋“œ๋ฆฝ๋‹ˆ๋‹ค. @deidera08 ์•„๋ž˜๋‚ด์šฉ ํ™•์ธํ•ด์ฃผ์‹œ๋ฉด ๊ฐ์‚ฌ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.

  1. ๋„ค ํ•„์š”์—†์Šต๋‹ˆ๋‹ค. (์ด๊ฑด ์„œ๋ฒ„๋‹จ์—์„œ ์ฒ˜๋ฆฌํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.)
  2. ์Šคํ…Œ์ด์ง€ db ์ผ ๊ฒฝ์šฐ "๊ฐ„๊ฒฉ" ๋งŒ ์žˆ์œผ๋ฉด ๋ฉ๋‹ˆ๋‹ค. "๋ฐ์ดํ„ฐ ๋ฒ”์œ„" ๋Š” ์—†์–ด๋„ ๋ ๊ฒƒ ๊ฐ™์•„์š”.
    ์‚ฌ์‹ค "๊ฐ„๊ฒฉ" ์ด๋ผ๋Š” ๊ณณ์— "๋ฐ์ดํ„ฐ ๋ฒ”์œ„" ๋ผ๋Š” ๋ผ๋ฒจ์ด ๋” ๋งž์„ ๊ฒƒ ๊ฐ™๋„ค์š”.

@kyungtaak @AnnieHwang @brandon-wonjune

2. ์Šคํ…Œ์ด์ง€ db ์ผ ๊ฒฝ์šฐ "๊ฐ„๊ฒฉ" ๋งŒ ์žˆ์œผ๋ฉด ๋ฉ๋‹ˆ๋‹ค. "๋ฐ์ดํ„ฐ ๋ฒ”์œ„" ๋Š” ์—†์–ด๋„ ๋ ๊ฒƒ ๊ฐ™์•„์š”.
์‚ฌ์‹ค "๊ฐ„๊ฒฉ" ์ด๋ผ๋Š” ๊ณณ์— "๋ฐ์ดํ„ฐ ๋ฒ”์œ„" ๋ผ๋Š” ๋ผ๋ฒจ์ด ๋” ๋งž์„ ๊ฒƒ ๊ฐ™๋„ค์š”.

๊ฐ€์ด๋“œ์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค :)

๋‹ค์Œ๊ณผ ๊ฐ™์ด ๊ธฐํš์„œ์— ์ˆ˜์ •/๋ฐ˜์˜ ํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

  1. StagingDB ์ผ ๊ฒฝ์šฐ ๋ฐ์ดํ„ฐ๋ฒ”์œ„ ์‚ญ์ œํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
    : ๊ฒฐ๊ณผ์ ์œผ๋กœ ์ƒ์„ธ์ •๋ณด์˜ Duration์€ ์ค‘๋ณต๊ฐ’์ด๋ฏ€๋กœ ์ด ๊ฐ’ ๋˜ํ•œ ์‚ญ์ œํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
    : ์œ„ ์ƒํ™ฉ์— ๋”ฐ๋ผ ์ƒ์„ธ์ •๋ณด์˜ Intervals๋Š” ์ƒ์‹œ๋…ธ์ถœ ๋ฉ๋‹ˆ๋‹ค.
  1. ๋ชจ๋“  Intervals์˜ ๋ผ๋ฒจ์„ Data range๋กœ ์ˆ˜์ •ํ•˜๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

2019-01-11 5 40 41
2019-01-11 5 40 47

  1. ๊ฐ€์ด๋“œ๋Š” ์‚ญ์ œํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
    ์„ค๋ช… ๋‚ด์šฉ์ด ์ด๊ฒฉ์ด ์žˆ์„๋ฟ๋”๋Ÿฌ ๋ฐ์ดํ„ฐ ๋ฒ”์œ„๋กœ ์ถฉ๋ถ„ํžˆ ์ธ์ง€ํ•  ์ˆ˜ ์žˆ์„๋“ฏ ํ•ฉ๋‹ˆ๋‹ค.
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