{"id":269,"date":"2021-02-19T21:49:17","date_gmt":"2021-02-19T21:49:17","guid":{"rendered":"https:\/\/codesupply.co\/tincidunt-eget-integer-quisque-cum-donec-quam-et-tellus-venenatis-sit-aenean\/"},"modified":"2023-09-08T18:29:53","modified_gmt":"2023-09-08T18:29:53","slug":"elasticsearch-nedir","status":"publish","type":"post","link":"https:\/\/bulutistan.com\/blog\/elasticsearch-nedir\/","title":{"rendered":"ElasticSearch Nedir? Avantajlar\u0131 Nelerdir?"},"content":{"rendered":"\r\n

G\u00fcnl\u00fck hayat\u0131m\u0131za dijital ortam\u0131n girmesi ile birlikte, fark\u0131nda olmadan inan\u0131lmaz boyutlara ula\u015fan veriler \u00fcretiyoruz. \u0130nternet \u00fczerinde inan\u0131lmaz bir veri s\u00f6z konusu. Web siteleri her ge\u00e7en saniyede yeni veriler \u00fcretmeye devam ediyor. B\u00f6ylesine b\u00fcy\u00fck verilerin t\u00fcm\u00fcne bili\u015fim dilinde Big Data (B\u00fcy\u00fck Veri) deniliyor. Ancak internet ortam\u0131nda \u00fcretilen bu verilerin \u00e7ok b\u00fcy\u00fck bir k\u0131sm\u0131 anlams\u0131z, da\u011f\u0131n\u0131k ve yap\u0131land\u0131r\u0131lmam\u0131\u015f halde bulunuyor. Da\u011f\u0131n\u0131k halde bulunan bu verilerin bir b\u00fct\u00fcn olarak anlaml\u0131 bir hale gelmesi i\u015fletmeler taraf\u0131ndan olduk\u00e7a \u00f6nem arz ediyor. \u0130\u015fletmeler bu d\u00fczenlenmi\u015f veriler sayesinde sorunlar\u0131 erkenden tespit ediyor, pazarlama stratejilerini daha rahat bir \u015fekilde olu\u015fturuyor ve konu m\u00fc\u015fterilerine hizmet etmeye geldi\u011finde onlar\u0131 bu veriler \u0131\u015f\u0131\u011f\u0131nda \u00e7ok daha iyi tan\u0131yorlar. \u0130nternette arama yapma amac\u0131yla yaz\u0131lm\u0131\u015f ara\u00e7lar\u0131n \u00e7o\u011funlu\u011fu da\u011f\u0131n\u0131k ve i\u015flenmemi\u015f veri topluluklar\u0131 kar\u015f\u0131s\u0131nda \u00e7aresiz kal\u0131yor. \u0130\u015fte tam olarak bu \u00e7aresizli\u011fi giderebilmek ad\u0131na ElasticSearch bili\u015fim d\u00fcnyas\u0131 i\u00e7in geli\u015ftirilmi\u015ftir. Yani ElasticSearch i\u00e7in asl\u0131nda arama yapma arac\u0131 diyebiliriz.<\/p>\r\n\r\n\r\n\r\n

<\/p>\r\n\r\n\r\n\r\n

ElasticSearch arama arac\u0131, Apache Lucene altyap\u0131s\u0131 \u00fczerine, Java programlama dili ile geli\u015ftirilmi\u015ftir. Bu ara\u00e7 bir full text (metin), arama motoru ve analiz arac\u0131d\u0131r. Lucene, tek bir cihazdaki metin dosyalar\u0131 aras\u0131nda arama yapmak i\u00e7in geli\u015ftirilmi\u015ftir. \u0130\u015fletmelerin da\u011f\u0131t\u0131k sistem ve anl\u0131k veriler \u00fczerinde yap\u0131lan aramalarda olduk\u00e7a yetersiz kald\u0131\u011f\u0131 i\u00e7in geli\u015ftirilen ElasticSearch, esnek yap\u0131s\u0131 itibariyle \u015firketlere kolayl\u0131k sa\u011flarken ve da\u011f\u0131t\u0131k sistemlerde ger\u00e7ek zamanl\u0131 veriler \u00fczerindeki ba\u015far\u0131lar\u0131 ile t\u00fcm d\u00fcnyada pop\u00fclerlik kazanm\u0131\u015ft\u0131r.<\/p>\r\n\r\n\r\n\r\n

ElasticSearch\u2019e veri kay\u0131t edilirken, daha \u00f6nce veri i\u00e7erisinde belirledi\u011finiz alanlar indekslenir. ElasticSearch yapt\u0131\u011f\u0131 bu i\u015flemi, verileri indeks listesine g\u00f6re s\u0131n\u0131fland\u0131rd\u0131\u011f\u0131 ve veri kayd\u0131n\u0131n ilk an\u0131nda kolay bir \u015fekilde ger\u00e7ekle\u015ftirdi\u011fi i\u00e7in kullan\u0131c\u0131lar arama sonu\u00e7lar\u0131na \u00e7ok daha h\u0131zl\u0131 ula\u015fabiliyor.<\/p>\r\n

Bulutistan ElasticSearch hizmetinin detaylar\u0131na ula\u015fmak i\u00e7in t\u0131klay\u0131n\u0131z<\/a>.<\/p>\r\n\r\n\r\n\r\n

ElasticSearch Arac\u0131n\u0131n Bize Kazand\u0131rd\u0131klar\u0131<\/h2>\r\n\r\n\r\n\r\n
    \r\n
  1. Eskiye oranla \u00e7ok daha kolay bir bi\u00e7imde backup (yedekleme) yap\u0131labilir.<\/li>\r\n
  2. Neredeyse ger\u00e7e\u011fe yak\u0131n zamanl\u0131 bir yap\u0131dad\u0131r. Bu \u00f6zelli\u011fi sayesinde, \u00f6ncesinde kaydedilen verileri saniyeler sonra ara\u00e7 i\u00e7erisinde yap\u0131lan aramalarda bulabilirsiniz.<\/li>\r\n
  3. RestfulAPI destekli olarak \u00e7al\u0131\u015fmaktad\u0131r.<\/li>\r\n
  4. Open Source (A\u00e7\u0131k Kaynakl\u0131) denilen bir yap\u0131ya sahiptir.<\/li>\r\n
  5. Y\u00fcksek \u00f6l\u00e7eklenebilir ve da\u011f\u0131t\u0131k yap\u0131larda neredeyse sorunsuz \u00e7al\u0131\u015f\u0131r.<\/li>\r\n
  6. Piyasada bulunan alternatif ara\u00e7lara g\u00f6re olduk\u00e7a verimlidir ve \u00e7ok daha az kaynak kullanarak bu verimlili\u011fi sa\u011flamaktad\u0131r.<\/li>\r\n
  7. \u0130ndeksleme yetene\u011fi olduk\u00e7a geli\u015fmi\u015ftir. Elasticsearch sayesinde arama sonu\u00e7lar\u0131n\u0131 \u00e7ok h\u0131zl\u0131 elde etmeniz m\u00fcmk\u00fcnd\u00fcr.<\/li>\r\n
  8. Cluster yap\u0131 bak\u0131m\u0131ndan muadillerine g\u00f6re olduk\u00e7a basittir.<\/li>\r\n
  9. ElasticSearch, dosyalar\u0131 JSON yap\u0131s\u0131nda indeksledi\u011fi i\u00e7in \u00e7e\u015fitli programlama dillerini destekler.<\/li>\r\n
  10. Mapping i\u015flemini veri tipine uygun olarak yapabilir.<\/li>\r\n
  11. Di\u011fer muadillerine g\u00f6re olduk\u00e7a kolay ve h\u0131zl\u0131 bir kuruluma sahiptir.<\/li>\r\n
  12. \u0130\u015flemleri otomatik olarak tamamlama \u00f6zelli\u011fi vard\u0131r.<\/li>\r\n
  13. MongoDB, Cassandra, NoSQL ve HBase gibi bili\u015fim sekt\u00f6r\u00fcnde olduk\u00e7a \u00e7ok kullan\u0131lan veritabanlar\u0131ndan ElasticSearch\u2019e do\u011frudan veri aktar\u0131m\u0131 imk\u00e2n\u0131 vard\u0131r.\u00a0<\/li>\r\n
  14. Ara\u00e7 i\u00e7erisinde Replica ve Shared kavramlar\u0131 vard\u0131r.<\/li>\r\n
  15. ElasticSearch\u2019in kendi \u00fczerinde mapping sistemi vard\u0131r. Bu kavram, belgenin arama motoruna atkar\u0131lma \u015feklini tan\u0131mlama s\u00fcreci olarak adland\u0131r\u0131l\u0131r.\u00a0\u00a0<\/li>\r\n
  16. Sistem kullan\u0131c\u0131lar\u0131na kendi i\u00e7erisinde high availability (y\u00fcksek eri\u015febilirlik) \u00f6zelli\u011fi sunar.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

    ElasticSearch, olduk\u00e7a basit bir cluster yap\u0131s\u0131na sahiptir. Bu sayede veri k\u00fcmeleri kay\u0131t edilirken ve trafik seviyesi y\u00fckseldi\u011finde ortama hi\u00e7 bir sorun ya\u015famadan yeni makine eklemeleri yaparak sistemi \u00f6l\u00e7eklendirebilirsiniz. Cluster i\u00e7erisinde node\u2019lar bulunur ve her node \u00fczerinde ES \u00e7al\u0131\u015ft\u0131r\u0131l\u0131r. Olduk\u00e7a verimli olan bu cluster yap\u0131s\u0131n\u0131n avantajlar\u0131 \u015fu \u015fekildedir:<\/p>\r\n\r\n\r\n\r\n

      \r\n
    1. Replica ve Shared kavramlar\u0131n\u0131 bizlere yani kullan\u0131c\u0131lara sunmas\u0131,<\/li>\r\n
    2. Mapping sistemini hayat\u0131m\u0131za ge\u00e7irmesi,<\/li>\r\n
    3. Dok\u00fcmanlar\u0131n indexlenmesi JSON halinde yap\u0131lmas\u0131,<\/li>\r\n
    4. \u0130ndeks ve dok\u00fcman kavram\u0131n\u0131 sunmas\u0131,<\/li>\r\n
    5. \u0130ndeksleme mant\u0131\u011f\u0131,<\/li>\r\n
    6. Y\u00fcksek eri\u015febilirlik (high availability) sistemi.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

      Elasticsearch Kullanman\u0131n Hayata Katt\u0131\u011f\u0131 3 Kolayl\u0131k<\/h2>\r\n\r\n\r\n\r\n
        \r\n
      1. Ger\u00e7ek Zaman Yak\u0131n \u0130\u015flem Yetene\u011fi:\u00a0\u00a0<\/strong>
        ElasticSearch sekt\u00f6r a\u00e7\u0131s\u0131ndan olduk\u00e7a verimli bir ara\u00e7t\u0131r. Bahsetti\u011fimiz ara\u00e7 i\u00e7in veri yazma veya okuma gibi i\u015flemler genel olarak bir saniyeden \u00e7ok daha k\u0131sa bir s\u00fcrede tamamlanm\u0131\u015f olur. Bu \u00f6zelli\u011fi kullananlar i\u00e7in \u00e7ok \u00f6nemlidir. Bu yapt\u0131\u011f\u0131 verimli hareketler sayesinde ElasticSearch\u2019ten anomali alg\u0131lama ve uygulama izleme gibi ger\u00e7ek zamanl\u0131 kullan\u0131ma y\u00f6nelik ama\u00e7lar i\u00e7in faydalanman\u0131z m\u00fcmk\u00fcnd\u00fcr.<\/li>\r\n
      2. \u00dccretsiz Eklenti ve Ara\u00e7lar:\u00a0<\/strong>
        ElasticSearch yaz\u0131l\u0131m\u0131n\u0131 g\u00fcn\u00fcm\u00fczde olduk\u00e7a pop\u00fcler olan raporlama ve g\u00f6rselle\u015ftirme arac\u0131 olarak gayet ba\u015far\u0131l\u0131 olan Kibana ile kolayca entegre edebilirsiniz. Bu ara\u00e7tan hari\u00e7 Logstash ve Beats entegreleri ile veri d\u00f6n\u00fc\u015f\u00fcm\u00fcn\u00fc kolayca yapabilir, ElasticSearch k\u00fcmenize y\u00fckleyebilirsiniz. Ayr\u0131ca bu ara\u00e7lardan da anla\u015f\u0131laca\u011f\u0131 gibi zengin i\u015flevler eklemek amac\u0131yla \u00e7ok say\u0131da ElasticSearch eklentisini \u00fccretsiz olarak kullanabilirsiniz.<\/li>\r\n
      3. Zaman Tasarrufu:\u00a0<\/strong>
        ElasticSearch yaz\u0131l\u0131m\u0131, bizlere sundu\u011fu REST tabanl\u0131 API hizmetleri, \u015femas\u0131z JSON belgeleri ve basit bir http arabirimi sayesinde verdi\u011fi hizmeti \u00e7ok y\u00fcksek h\u0131zlarda kullanabilirsiniz. Ayr\u0131ca di\u011fer \u00f6zelliklerinin yan\u0131nda\u00a0 bu \u00f6zellikleri sayesinde farkl\u0131 kullan\u0131mlara uygun uygulamalar yazman\u0131zada olanak sa\u011flar. ElasticSearch\u2019\u00fcn sahip oldu\u011fu da\u011f\u0131n\u0131k altyap\u0131s\u0131na ra\u011fmen, y\u00fcksek miktarda verileri paralel i\u015fleyerek sizin yapt\u0131\u011f\u0131n\u0131z sorgular i\u00e7in sonu\u00e7lar\u0131 olduk\u00e7a h\u0131zl\u0131 bulman\u0131z\u0131 sa\u011flar. Son olarak ElasticSearch kullan\u0131c\u0131lar\u0131na \u00e7oklu dil deste\u011fi sunar. Bunlardan en pop\u00fcler olan programlama diller; Ruby, Pyton, PHP, Node.js ve JavaScript diyebiliriz.<\/li>\r\n<\/ol>\r\n","protected":false},"excerpt":{"rendered":"G\u00fcnl\u00fck hayat\u0131m\u0131za dijital ortam\u0131n girmesi ile birlikte, fark\u0131nda olmadan inan\u0131lmaz boyutlara ula\u015fan veriler \u00fcretiyoruz. \u0130nternet \u00fczerinde inan\u0131lmaz bir…\n","protected":false},"author":1,"featured_media":2556,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_appearance_grid":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0},"categories":[7,3],"tags":[],"yoast_head":"\nElasticSearch Nedir? 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