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Fiziksel bir çekirdek, depolama bölümü ya da stored procedure parametresi değildir.",{"id":125,"topic":9,"difficulty":108,"body":126,"options":127,"correct_key":112,"explanation":136},"01a00fd5-7c5b-7647-b07b-5d22f2c105cb","BigQuery'nin on-demand faturalama modelinde bir sorgunun ücreti neye göre belirlenir?",[128,130,132,134],{"key":112,"text":129},"İşlenen (taranan) bayt miktarına göre",{"key":115,"text":131},"Sorgunun o an kullandığı slot sayısına göre",{"key":118,"text":133},"Sorgunun bitmesi için geçen gerçek zamana göre",{"key":121,"text":135},"Sorgunun döndürdüğü satır sayısına göre","On-demand faturalamada ücret, sorgunun işlediği veri hacmine (bayt) göre hesaplanır; kullanılan slot sayısına, çalışma süresine ya da dönen satır sayısına göre değil.",{"id":138,"topic":9,"difficulty":139,"body":140,"options":141,"correct_key":118,"explanation":150},"01a00fd5-7c5f-78ac-aef5-2b4c48425458",2,"BigQuery'nin capacity-based (reservation) faturalama modelinde müşteri neyin ücretini öder?",[142,144,146,148],{"key":112,"text":143},"On-demand faturalamadaki gibi, sorgu başına taranan bayt miktarının",{"key":115,"text":145},"Kullanımdan tamamen bağımsız, sabit bir aylık ücretin",{"key":118,"text":147},"İş yükleri için ayrılan bir slot havuzu",{"key":121,"text":149},"Yalnızca sorgu sonuç kümesinin kapladığı depolamanın","Capacity-based (reservation) modelde müşteri, bir reservation'a ayrılan slot havuzunun ücretini öder; bu, tek bir sorgunun kaç bayt taradığından bağımsızdır -- on-demand'in tam tersi bir faturalama esasıdır.",{"id":152,"topic":9,"difficulty":139,"body":153,"options":154,"correct_key":115,"explanation":163},"01a00fd5-7c67-72b1-be6b-d99a6666c500","```sql\nSELECT * FROM orders;\n-- vs\nSELECT order_id, total_amount FROM orders;\n```\nHer iki sorgu da WHERE koşulu olmadan `orders` tablosunun tamamını tarıyor. İkinci sorgu neden tipik olarak birincisinden daha az bayt işler?",[155,157,159,161],{"key":112,"text":156},"İkinci sorgu, birincisinde olmayan örtük bir LIMIT uygular",{"key":115,"text":158},"BigQuery'nin kolonsal depolaması yalnızca referans edilen kolonları okur",{"key":118,"text":160},"BigQuery, SELECT * sorgularını kolon bazlı sorgulara göre daha az agresif cache'ler",{"key":121,"text":162},"İkinci sorgu daha az slot'ta çalışır, bu da faturalanan baytı azaltır","BigQuery veriyi kolon kolon saklar, bu yüzden bir sorgu yalnızca referans ettiği kolonları okur. `SELECT *` her kolonu okurken, iki kolon seçmek yalnızca o iki kolonu okur -- bu yüzden daha az bayt işlenir.",{"id":165,"topic":9,"difficulty":139,"body":166,"options":167,"correct_key":121,"explanation":176},"01a00fd5-7c6e-7c82-b004-142d96ad2528","`events` tablosu clustered ya da partitioned değil. `SELECT * FROM events LIMIT 10` çalıştırıyorsun. Aynı sorguyu LIMIT olmadan çalıştırmayla kıyaslandığında, BigQuery kaç bayt işler?",[168,170,172,174],{"key":112,"text":169},"LIMIT taramayı erken durdurduğu için, kabaca 10 satırlık bayt",{"key":115,"text":171},"Sıfır bayt, çünkü LIMIT herhangi bir veri okunmadan önce uygulanır",{"key":118,"text":173},"10'un toplam satır sayısına bölümüyle orantılı bayt",{"key":121,"text":175},"Tarama açısından LIMIT'siz haliyle birebir aynı miktarda veri","Clustered olmayan bir tabloda LIMIT, veri zaten okunduktan sonra uygulanır; bu yüzden taranan baytı azaltmaz. Sorgu, çıktıyı 10 satıra kırpmadan önce yine tüm satırlar için referans edilen kolonları okur.",{"id":178,"topic":9,"difficulty":139,"body":179,"options":180,"correct_key":112,"explanation":189},"01a00fd5-7c73-7e00-8e53-04c3b441400e","`logs` tablosunda partitioning ya da clustering tanımlı değil. `SELECT message FROM logs WHERE severity = 'ERROR'` çalıştırıyorsun. Aynı kolonu seçen ama WHERE koşulu olmayan bir sorguyla kıyaslandığında taranan bayta ne olur?",[181,183,185,187],{"key":112,"text":182},"Taranan bayt esasen aynı kalır, çünkü partition ya da clustering pruning'i devre dışı",{"key":115,"text":184},"Taranan bayt ciddi şekilde düşer, çünkü WHERE her zaman depolama seviyesinde pruning yapar",{"key":118,"text":186},"Taranan bayt sıfıra düşer, çünkü filtre depolama okunmadan önce değerlendirilir",{"key":121,"text":188},"Taranan bayt artar, çünkü WHERE koşulunu değerlendirmek ek bir tam tablo geçişi ekler","Partitioning veya clustering olmadan BigQuery'nin filtreye göre blok atlayacak bir depolama-seviyesi yolu yoktur. WHERE'i değerlendirmek için gereken `severity` kolonu ve seçilen `message` kolonu her satır için okunur, eşleşmeyenler ancak sonradan 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