{"id":38507,"date":"2026-02-01T18:00:40","date_gmt":"2026-02-01T15:00:40","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/cok-is-parcacikli-python-uygulamalarinda-sqlite-yaris-kosullarini-ortadan-kaldirmak-kapsamli-bir-rehber\/"},"modified":"2026-02-01T18:00:40","modified_gmt":"2026-02-01T15:00:40","slug":"cok-is-parcacikli-python-uygulamalarinda-sqlite-yaris-kosullarini-ortadan-kaldirmak-kapsamli-bir-rehber","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/cok-is-parcacikli-python-uygulamalarinda-sqlite-yaris-kosullarini-ortadan-kaldirmak-kapsamli-bir-rehber\/","title":{"rendered":"\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Python Uygulamalar\u0131nda SQLite Yar\u0131\u015f Ko\u015fullar\u0131n\u0131 Ortadan Kald\u0131rmak: Kapsaml\u0131 Bir Rehber"},"content":{"rendered":"

\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Python Uygulamalar\u0131nda SQLite Yar\u0131\u015f Ko\u015fullar\u0131n\u0131 Ortadan Kald\u0131rmak: Kapsaml\u0131 Bir Rehber<\/h2>\n

Python’da \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 (multi-threaded) uygulamalar geli\u015ftirirken performans art\u0131\u015f\u0131 ve e\u015f zamanl\u0131 i\u015flem yetene\u011fi elde etmek hedeflenir. Ancak, bu t\u00fcr ortamlarda SQLite gibi dosya tabanl\u0131 bir veritaban\u0131 kullanmak, \u00f6zellikle yar\u0131\u015f ko\u015fullar\u0131 (race conditions) nedeniyle beklenmedik ve can s\u0131k\u0131c\u0131 sorunlara yol a\u00e7abilir. Bu makale, \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 Python uygulamalar\u0131nda SQLite ile g\u00fcvenli ve kararl\u0131 bir \u015fekilde \u00e7al\u0131\u015fman\u0131n yollar\u0131n\u0131, kar\u015f\u0131la\u015f\u0131lan zorluklar\u0131 ve bu zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in uygulayabilece\u011finiz etkili stratejileri detayl\u0131 bir \u015fekilde ele alacakt\u0131r.<\/p>\n

\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Ortamlarda SQLite ve Zorluklar\u0131<\/h3>\n

SQLite, basitli\u011fi, hafifli\u011fi ve sunucusuz mimarisi sayesinde bir\u00e7ok Python projesi i\u00e7in ideal bir se\u00e7imdir. Ancak, bu avantajlar \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 bir ortamda baz\u0131 \u00f6nemli k\u0131s\u0131tlamalara d\u00f6n\u00fc\u015febilir. SQLite’\u0131n tek bir veritaban\u0131 dosyas\u0131na e\u015f zamanl\u0131 eri\u015fimi y\u00f6netme bi\u00e7imi, yar\u0131\u015f ko\u015fullar\u0131 i\u00e7in zemin haz\u0131rlar.<\/p>\n

SQLite’\u0131n Tek S\u00fcre\u00e7 Tasar\u0131m\u0131 ve K\u0131s\u0131tlamalar\u0131<\/h4>\n

SQLite, temel olarak tek bir s\u00fcrecin ayn\u0131 anda veritaban\u0131 dosyas\u0131n\u0131 de\u011fi\u015ftirmesi \u00fczerine tasarlanm\u0131\u015ft\u0131r. Bu tasar\u0131m, ayn\u0131 anda birden fazla i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n (veya s\u00fcrecin) ayn\u0131 veritaban\u0131 dosyas\u0131na yazmaya \u00e7al\u0131\u015fmas\u0131 durumunda tutars\u0131zl\u0131klar, veri bozulmalar\u0131 veya kilitlenmeler ya\u015fanmas\u0131na neden olabilir. SQLite, dahili olarak baz\u0131 kilit mekanizmalar\u0131 kullansa da, bunlar genellikle i\u015fletim sistemi d\u00fczeyindeki dosya kilitlerine dayan\u0131r ve i\u015f par\u00e7ac\u0131\u011f\u0131 d\u00fczeyindeki Python threading<\/code> mod\u00fcl\u00fc ile her zaman uyumlu \u00e7al\u0131\u015fmayabilir. \u00d6zellikle farkl\u0131 i\u015f par\u00e7ac\u0131klar\u0131n\u0131n ayn\u0131 veritaban\u0131 ba\u011flant\u0131s\u0131n\u0131 kullanmaya \u00e7al\u0131\u015fmas\u0131 ciddi sorunlara yol a\u00e7ar.<\/p>\n

Yar\u0131\u015f Ko\u015fullar\u0131 Nedir ve SQLite’\u0131 Nas\u0131l Etkiler?<\/h4>\n

Yar\u0131\u015f ko\u015fulu, iki veya daha fazla i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n payla\u015f\u0131lan bir kayna\u011fa (bu durumda SQLite veritaban\u0131 dosyas\u0131) ayn\u0131 anda eri\u015fmeye veya de\u011fi\u015ftirmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131nda ortaya \u00e7\u0131kan bir durumdur. \u0130\u015flemlerin s\u0131ras\u0131 tahmin edilemez oldu\u011fundan, sonucun do\u011fru olup olmayaca\u011f\u0131 \u015fansa ba\u011fl\u0131d\u0131r. SQLite ba\u011flam\u0131nda, bir i\u015f par\u00e7ac\u0131\u011f\u0131 bir kay\u0131t okurken, ba\u015fka bir i\u015f par\u00e7ac\u0131\u011f\u0131 ayn\u0131 kayd\u0131 g\u00fcncelleyebilir veya silebilir. Bu durum, okunan verinin eski veya yanl\u0131\u015f olmas\u0131na yol a\u00e7abilir. Daha da k\u00f6t\u00fcs\u00fc, iki i\u015f par\u00e7ac\u0131\u011f\u0131 ayn\u0131 anda bir yazma i\u015flemi yapmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131nda veritaban\u0131 dosyas\u0131nda bozulmalar meydana gelebilir.<\/p>\n

Kar\u015f\u0131la\u015f\u0131lan Yayg\u0131n Sorunlar (Veri Bozulmas\u0131, Kilitlenmeler)<\/h4>\n

\u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 SQLite kullan\u0131m\u0131nda kar\u015f\u0131la\u015f\u0131lan ba\u015fl\u0131ca sorunlar \u015funlard\u0131r:<\/p>\n

    \n
  • Veri B\u00fct\u00fcnl\u00fc\u011f\u00fc Kayb\u0131:<\/b> Yar\u0131\u015f ko\u015fullar\u0131 nedeniyle veritaban\u0131ndaki veriler tutars\u0131z hale gelebilir. \u00d6rne\u011fin, bir i\u015flem yar\u0131da kesilirse veya \u00fczerine yaz\u0131l\u0131rsa, beklenen sonuca ula\u015f\u0131lamaz.<\/li>\n
  • Veritaban\u0131 Bozulmas\u0131:<\/b> En ciddi sorunlardan biri, veritaban\u0131 dosyas\u0131n\u0131n tamamen bozulmas\u0131d\u0131r. Bu, kurtar\u0131lmas\u0131 zor veya imkans\u0131z veri kayb\u0131na yol a\u00e7abilir.<\/li>\n
  • OperationalError: database is locked<\/code> Hatalar\u0131:<\/b> SQLite’\u0131n dahili kilit mekanizmalar\u0131, e\u015f zamanl\u0131 yazma giri\u015fimlerini engellemek i\u00e7in tasarlanm\u0131\u015ft\u0131r. Ancak, bu kilitler uzun s\u00fcre tutuldu\u011funda veya yanl\u0131\u015f y\u00f6netildi\u011finde, di\u011fer i\u015f par\u00e7ac\u0131klar\u0131 veritaban\u0131na eri\u015femeyerek bu hatay\u0131 alabilir.<\/li>\n
  • Performans D\u00fc\u015f\u00fc\u015f\u00fc:<\/b> S\u00fcrekli kilitlenme ve yeniden deneme mekanizmalar\u0131, uygulaman\u0131n genel performans\u0131n\u0131 d\u00fc\u015f\u00fcrebilir.<\/li>\n<\/ul>\n

    Temel \u00c7\u00f6z\u00fcm: Veritaban\u0131 Eri\u015fimini Senkronize Etmek<\/h3>\n

    SQLite’\u0131n \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 ortamdaki sorunlar\u0131n\u0131 \u00e7\u00f6zmenin anahtar\u0131, veritaban\u0131 eri\u015fimini senkronize etmektir. Yani, ayn\u0131 anda sadece bir i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n veritaban\u0131 \u00fczerinde kritik i\u015flemler yapmas\u0131n\u0131 sa\u011flamakt\u0131r. Python’\u0131n threading<\/code> mod\u00fcl\u00fc, bu senkronizasyonu sa\u011flamak i\u00e7in g\u00fc\u00e7l\u00fc ara\u00e7lar sunar.<\/p>\n

    Python’\u0131n threading.Lock<\/code> Mekanizmas\u0131<\/h4>\n

    Python’da i\u015f par\u00e7ac\u0131klar\u0131 aras\u0131 senkronizasyonun en temel ve yayg\u0131n arac\u0131 threading.Lock<\/code> nesnesidir. Bir Lock<\/code> nesnesi, belirli bir kod blo\u011funa ayn\u0131 anda yaln\u0131zca bir i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n eri\u015fmesine izin veren basit bir kilittir.<\/p>\n

    \nimport threading\nimport sqlite3\n\ndb_lock = threading.Lock()\nDB_NAME = 'my_database.db'\n\ndef safe_db_operation(query, params=()):\n    with db_lock: # Kilidi al\n        conn = sqlite3.connect(DB_NAME)\n        cursor = conn.cursor()\n        try:\n            cursor.execute(query, params)\n            conn.commit()\n            return cursor.fetchall()\n        except sqlite3.Error as e:\n            print(f\"Veritaban\u0131 hatas\u0131: {e}\")\n            conn.rollback()\n        finally:\n            conn.close() # Kilidi b\u0131rak\u0131ld\u0131ktan sonra ba\u011flant\u0131y\u0131 kapat\n<\/pre>\n
    <\/code>
    \nYukar\u0131daki \u00f6rnekte, with db_lock:<\/code> ifadesi, kilidi otomatik olarak al\u0131r ve kod blo\u011fu tamamland\u0131\u011f\u0131nda (veya bir hata olu\u015ftu\u011funda) serbest b\u0131rak\u0131r. Bu, veritaban\u0131 i\u015flemlerinin atomik olmas\u0131n\u0131 ve yar\u0131\u015f ko\u015fullar\u0131ndan korunmas\u0131n\u0131 sa\u011flar.<\/p>\n
    Global Kilit Kullan\u0131m\u0131 ve Performans Etkileri<\/h4>\n
    Tek bir global threading.Lock<\/code> nesnesi kullanmak, SQLite yar\u0131\u015f ko\u015fullar\u0131n\u0131 ortadan kald\u0131rman\u0131n en basit yoludur. Ancak, bu yakla\u015f\u0131m\u0131n \u00f6nemli bir dezavantaj\u0131 vard\u0131r: t\u00fcm veritaban\u0131 i\u015flemlerini serile\u015ftirir. Yani, ayn\u0131 anda sadece bir i\u015f par\u00e7ac\u0131\u011f\u0131 veritaban\u0131na eri\u015febilir. Yo\u011fun veritaban\u0131 eri\u015fimi olan uygulamalarda, bu durum i\u015f par\u00e7ac\u0131klar\u0131n\u0131n s\u00fcrekli olarak kilit i\u00e7in beklemesine ve uygulaman\u0131n genel performans\u0131n\u0131n d\u00fc\u015fmesine neden olabilir. Bu, \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131l\u0131\u011f\u0131n getirdi\u011fi potansiyel performans art\u0131\u015f\u0131n\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde s\u0131n\u0131rlar.<\/p>\n
    Ba\u011flant\u0131 Ba\u015f\u0131na Kilit Yakla\u015f\u0131m\u0131<\/h4>\n
    Python'\u0131n sqlite3<\/code> mod\u00fcl\u00fc varsay\u0131lan olarak, bir veritaban\u0131 ba\u011flant\u0131s\u0131n\u0131n (Connection<\/code> nesnesi) olu\u015fturuldu\u011fu i\u015f par\u00e7ac\u0131\u011f\u0131 d\u0131\u015f\u0131nda ba\u015fka bir i\u015f par\u00e7ac\u0131\u011f\u0131 taraf\u0131ndan kullan\u0131lmas\u0131n\u0131 engeller (check_same_thread=True<\/code>). Bu, her i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n kendi veritaban\u0131 ba\u011flant\u0131s\u0131na sahip olmas\u0131 gerekti\u011fi anlam\u0131na gelir. Bu durumda, her i\u015f par\u00e7ac\u0131\u011f\u0131 kendi ba\u011flant\u0131s\u0131n\u0131 a\u00e7\u0131p kapatabilir ve global bir kilide ihtiya\u00e7 duyulmaz. Ancak, bu yakla\u015f\u0131m yazma i\u015flemleri i\u00e7in hala sorunludur. SQLite, tek bir dosya oldu\u011fu i\u00e7in, farkl\u0131 ba\u011flant\u0131lar \u00fczerinden yap\u0131lan e\u015f zamanl\u0131 yazma giri\u015fimleri yine database is locked<\/code> hatalar\u0131na yol a\u00e7abilir. Bu nedenle, yazma i\u015flemleri i\u00e7in global bir kilit veya daha geli\u015fmi\u015f bir mekanizma hala gereklidir. Okuma i\u015flemleri i\u00e7in ise farkl\u0131 ba\u011flant\u0131lar kullanmak daha esneklik sa\u011flayabilir.<\/p>\n
    Geli\u015fmi\u015f Stratejiler ve En \u0130yi Uygulamalar<\/h3>\n
    Sadece basit bir kilit kullanmak yerine, SQLite'\u0131n \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 performans\u0131 ve kararl\u0131l\u0131\u011f\u0131n\u0131 art\u0131rmak i\u00e7in daha geli\u015fmi\u015f stratejiler mevcuttur.<\/p>\n
    Ba\u011flant\u0131 Havuzlama (Connection Pooling) ile Y\u00f6netim<\/h4>\n
    Her veritaban\u0131 i\u015flemi i\u00e7in yeni bir ba\u011flant\u0131 a\u00e7\u0131p kapatmak, \u00f6zellikle y\u00fcksek frekansl\u0131 i\u015flemlerde performans maliyeti yarat\u0131r. Ba\u011flant\u0131 havuzlama, \u00f6nceden a\u00e7\u0131lm\u0131\u015f ve kullan\u0131ma haz\u0131r veritaban\u0131 ba\u011flant\u0131lar\u0131n\u0131n bir havuzda tutulmas\u0131n\u0131 sa\u011flar. Bir i\u015f par\u00e7ac\u0131\u011f\u0131na ihtiya\u00e7 duydu\u011funda havuzdan bir ba\u011flant\u0131 al\u0131r, i\u015fini bitirdi\u011finde ise ba\u011flant\u0131y\u0131 havuza geri b\u0131rak\u0131r. Bu, ba\u011flant\u0131 a\u00e7ma\/kapama overhead'ini azalt\u0131r.<\/p>\n
    \nimport threading\nimport sqlite3\nfrom queue import Queue\n\nclass ConnectionPool:\n    def __init__(self, db_name, max_connections=5):\n        self.db_name = db_name\n        self.max_connections = max_connections\n        self.pool = Queue(maxsize=max_connections)\n        self.lock = threading.Lock() # Havuz eri\u015fimi i\u00e7in kilit\n        self._current_connections = 0\n\n    def _create_connection(self):\n        conn = sqlite3.connect(self.db_name, timeout=10) # Timeout eklenebilir\n        conn.isolation_level = None # Otomatik commit i\u00e7in veya manuel\n        return conn\n\n    def get_connection(self):\n        with self.lock:\n            if not self.pool.empty():\n                return self.pool.get()\n            elif self._current_connections < self.max_connections:\n                conn = self._create_connection()\n                self._current_connections += 1\n                return conn\n            else:\n                # Havuz dolu, mevcut bir ba\u011flant\u0131n\u0131n serbest kalmas\u0131n\u0131 bekle\n                # Bu k\u0131s\u0131m Queue.get(block=True) ile y\u00f6netilebilir\n                pass # Daha karma\u015f\u0131k bekleme mekanizmalar\u0131 eklenebilir\n\n        # E\u011fer havuzdan al\u0131namad\u0131ysa ve yeni olu\u015fturulamad\u0131ysa bekle\n        return self.pool.get(block=True, timeout=30) # Belirli bir s\u00fcre bekle\n\n    def release_connection(self, conn):\n        self.pool.put(conn)\n\n    def close_all(self):\n        while not self.pool.empty():\n            conn = self.pool.get()\n            conn.close()\n\n# Kullan\u0131m \u00f6rne\u011fi\n# db_pool = ConnectionPool('my_database.db', max_connections=5)\n# conn = db_pool.get_connection()\n# try:\n#     # \u0130\u015flemler\n# finally:\n#     db_pool.release_connection(conn)\n<\/pre>\n
    <\/code>
    \nBa\u011flant\u0131 havuzlama, yazma i\u015flemleri i\u00e7in hala threading.Lock<\/code> gibi bir mekanizma ile birle\u015ftirilmelidir, \u00e7\u00fcnk\u00fc havuzdaki farkl\u0131 ba\u011flant\u0131lar ayn\u0131 anda yazmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131nda yine sorunlar ya\u015fanabilir. Ancak okuma i\u015flemleri i\u00e7in havuz, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.<\/p>\n
    WAL (Write-Ahead Logging) Modunun G\u00fcc\u00fc<\/h4>\n
    SQLite'\u0131n varsay\u0131lan \"rollback journal\" modu, her yazma i\u015flemi \u00f6ncesinde t\u00fcm veritaban\u0131n\u0131 kilitler. WAL (Write-Ahead Logging) modu ise bu davran\u0131\u015f\u0131 de\u011fi\u015ftirir. WAL modunda, yazma i\u015flemleri ana veritaban\u0131 dosyas\u0131na de\u011fil, ayr\u0131 bir WAL dosyas\u0131na yaz\u0131l\u0131r. Bu, okuyucular\u0131n yazma i\u015flemleri s\u0131ras\u0131nda ana veritaban\u0131 dosyas\u0131n\u0131 okumaya devam etmelerini sa\u011flar. B\u00f6ylece, e\u015f zamanl\u0131 okuma ve yazma i\u015flemleri daha verimli bir \u015fekilde ger\u00e7ekle\u015ftirilebilir.
    \nWAL modunu etkinle\u015ftirmek i\u00e7in:<\/p>\n
    \nconn = sqlite3.connect('my_database.db')\nconn.execute(\"PRAGMA journal_mode=WAL;\")\nconn.close()\n<\/pre>\n
    <\/code>
    \nWAL modu, \u00f6zellikle okuma yo\u011fun uygulamalarda database is locked<\/code> hatalar\u0131n\u0131 azaltmada \u00e7ok etkilidir. Ancak, ayn\u0131 anda birden fazla yazma i\u015flemi hala serile\u015ftirilir. Yani, WAL modu ayn\u0131 anda birden fazla yazma i\u015flemine izin vermez, sadece okuma ve yazma i\u015flemlerinin e\u015f zamanl\u0131 olmas\u0131n\u0131 sa\u011flar.<\/p>\n
    Okuyucu-Yaz\u0131c\u0131 Kilitleri (Reader-Writer Locks) ve Uygulamas\u0131<\/h4>\n
    Global bir kilit, okuma i\u015flemlerini gereksiz yere engeller. Okuyucu-Yaz\u0131c\u0131 kilitleri (RWLock), birden fazla okuyucunun ayn\u0131 anda kayna\u011fa eri\u015fmesine izin verirken, yaz\u0131c\u0131lar\u0131n kayna\u011fa \u00f6zel eri\u015fim sa\u011flamas\u0131n\u0131 garanti eder. Yani, bir yaz\u0131c\u0131 aktifken ba\u015fka hi\u00e7bir okuyucu veya yaz\u0131c\u0131 eri\u015femez; ancak birden fazla okuyucu ayn\u0131 anda eri\u015febilir. Python'\u0131n standart k\u00fct\u00fcphanesinde do\u011frudan bir RWLock uygulamas\u0131 bulunmaz, ancak threading.Lock<\/code> ve threading.Condition<\/code> kullan\u0131larak veya \u00fc\u00e7\u00fcnc\u00fc taraf k\u00fct\u00fcphanelerle (\u00f6rn. rwlock<\/code>) uygulanabilir.<\/p>\n
    \n# Basit bir RWLock tasla\u011f\u0131 (ger\u00e7ek bir uygulama i\u00e7in daha karma\u015f\u0131k olabilir)\nclass RWLock:\n    def __init__(self):\n        self.read_lock = threading.Lock()\n        self.write_lock = threading.Lock()\n        self.readers = 0\n\n    def acquire_read(self):\n        with self.read_lock:\n            self.readers += 1\n            if self.readers == 1:\n                self.write_lock.acquire() # \u0130lk okuyucu yazma kilidini al\u0131r\n\n    def release_read(self):\n        with self.read_lock:\n            self.readers -= 1\n            if self.readers == 0:\n                self.write_lock.release() # Son okuyucu yazma kilidini b\u0131rak\u0131r\n\n    def acquire_write(self):\n        self.write_lock.acquire()\n\n    def release_write(self):\n        self.write_lock.release()\n\n# Kullan\u0131m \u00f6rne\u011fi\n# db_rw_lock = RWLock()\n# def read_data():\n#     db_rw_lock.acquire_read()\n#     try:\n#         # Okuma i\u015flemleri\n#     finally:\n#         db_rw_lock.release_read()\n\n# def write_data():\n#     db_rw_lock.acquire_write()\n#     try:\n#         # Yazma i\u015flemleri\n#     finally:\n#         db_rw_lock.release_write()\n<\/pre>\n
    <\/code>
    \nBu yakla\u015f\u0131m, \u00f6zellikle okuma i\u015flemlerinin yazma i\u015flemlerinden \u00e7ok daha s\u0131k oldu\u011fu senaryolarda performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.<\/p>\n
    Python'da G\u00fcvenli SQLite Entegrasyonu \u0130\u00e7in Kod \u00d6rnekleri<\/h3>\n
    \u015eimdiye kadar bahsetti\u011fimiz y\u00f6ntemleri birle\u015ftirerek daha sa\u011flam bir \u00e7\u00f6z\u00fcm olu\u015ftural\u0131m.<\/p>\n
    threading.Lock<\/code> ile Basit Bir \u00d6rnek<\/h4>\n
    Daha \u00f6nce g\u00f6sterdi\u011fimiz global kilit \u00f6rne\u011fi, basit uygulamalar i\u00e7in yeterli olabilir:<\/p>\n
    \nimport threading\nimport sqlite3\nimport time\n\nDB_FILE = 'safe_app.db'\ndb_access_lock = threading.Lock()\n\ndef init_db():\n    with db_access_lock:\n        conn = sqlite3.connect(DB_FILE)\n        cursor = conn.cursor()\n        cursor.execute('''\n            CREATE TABLE IF NOT EXISTS data (\n                id INTEGER PRIMARY KEY AUTOINCREMENT,\n                value TEXT,\n                timestamp DATETIME DEFAULT CURRENT_TIMESTAMP\n            )\n        ''')\n        conn.commit()\n        conn.close()\n\ndef insert_data(thread_id, value):\n    with db_access_lock: # T\u00fcm DB eri\u015fimini kilitle\n        conn = sqlite3.connect(DB_FILE)\n        cursor = conn.cursor()\n        try:\n            cursor.execute(\"INSERT INTO data (value) VALUES (?)\", (f\"Thread {thread_id}: {value}\",))\n            conn.commit()\n            print(f\"Thread {thread_id} inserted: {value}\")\n        except sqlite3.Error as e:\n            print(f\"Thread {thread_id} DB Error: {e}\")\n            conn.rollback()\n        finally:\n            conn.close()\n\ndef read_data(thread_id):\n    with db_access_lock: # Okuma da kilit alt\u0131nda\n        conn = sqlite3.connect(DB_FILE)\n        cursor = conn.cursor()\n        try:\n            cursor.execute(\"SELECT COUNT(*) FROM data\")\n            count = cursor.fetchone()[0]\n            print(f\"Thread {thread_id} read total records: {count}\")\n        except sqlite3.Error as e:\n            print(f\"Thread {thread_id} DB Error: {e}\")\n        finally:\n            conn.close()\n\ndef worker(thread_id):\n    for i in range(5):\n        insert_data(thread_id, f\"item_{i}\")\n        time.sleep(0.1) # Biraz bekle\n        read_data(thread_id)\n\nif __name__ == \"__main__\":\n    init_db()\n    threads = []\n    for i in range(3):\n        t = threading.Thread(target=worker, args=(i,))\n        threads.append(t)\n        t.start()\n\n    for t in threads:\n        t.join()\n    print(\"All threads finished.\")\n<\/pre>\n
    <\/code><\/p>\n
    Ba\u011flant\u0131 Havuzlama Uygulamas\u0131<\/h4>\n
    Yukar\u0131daki ConnectionPool<\/code> s\u0131n\u0131f\u0131n\u0131 kullanarak, her i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n kendi ba\u011flant\u0131s\u0131n\u0131 al\u0131p serbest b\u0131rakmas\u0131n\u0131 sa\u011flayabiliriz. Ancak, yazma i\u015flemleri i\u00e7in hala bir global kilit gerekecektir.<\/p>\n
    \n# ConnectionPool s\u0131n\u0131f\u0131 yukar\u0131daki gibi tan\u0131mlan\u0131r\n\n# db_pool = ConnectionPool(DB_FILE, max_connections=5)\n# db_write_lock = threading.Lock() # Yazma i\u015flemleri i\u00e7in ayr\u0131 bir kilit\n\n# def insert_data_pooled(thread_id, value):\n#     with db_write_lock: # Yazma i\u015flemini kilitle\n#         conn = db_pool.get_connection()\n#         cursor = conn.cursor()\n#         try:\n#             cursor.execute(\"INSERT INTO data (value) VALUES (?)\", (f\"Pooled Thread {thread_id}: {value}\",))\n#             conn.commit()\n#             print(f\"Pooled Thread {thread_id} inserted: {value}\")\n#         except sqlite3.Error as e:\n#             print(f\"Pooled Thread {thread_id} DB Error: {e}\")\n#             conn.rollback()\n#         finally:\n#             db_pool.release_connection(conn)\n\n# def read_data_pooled(thread_id):\n#     # Okuma i\u015flemleri i\u00e7in ayr\u0131 bir kilit kullanmaya gerek kalmayabilir\n#     # WAL modu ve ayr\u0131 ba\u011flant\u0131larla daha paralel \u00e7al\u0131\u015fabilir\n#     conn = db_pool.get_connection()\n#     cursor = conn.cursor()\n#     try:\n#         cursor.execute(\"SELECT COUNT(*) FROM data\")\n#         count = cursor.fetchone()[0]\n#         print(f\"Pooled Thread {thread_id} read total records: {count}\")\n#     except sqlite3.Error as e:\n#         print(f\"Pooled Thread {thread_id} DB Error: {e}\")\n#     finally:\n#         db_pool.release_connection(conn)\n<\/pre>\n
    <\/code><\/p>\n
    sqlite3.connect<\/code> ve check_same_thread=False<\/code> Kullan\u0131m\u0131 (Dikkatli Olunmas\u0131 Gerekenler)<\/h4>\n
    sqlite3.connect<\/code> fonksiyonuna check_same_thread=False<\/code> parametresini ge\u00e7irmek, ayn\u0131 Connection<\/code> nesnesinin farkl\u0131 i\u015f par\u00e7ac\u0131klar\u0131 taraf\u0131ndan kullan\u0131labilmesine izin verir. Ancak bu, *son derece dikkatli* kullan\u0131lmal\u0131d\u0131r. Bu parametre, SQLite'\u0131n dahili i\u015f par\u00e7ac\u0131\u011f\u0131 g\u00fcvenli\u011fi kontrollerini devre d\u0131\u015f\u0131 b\u0131rak\u0131r ve manuel senkronizasyon (kilitler) sa\u011flamak tamamen geli\u015ftiricinin sorumlulu\u011fundad\u0131r. Genellikle \u00f6nerilen bir y\u00f6ntem de\u011fildir, \u00e7\u00fcnk\u00fc yanl\u0131\u015f kullan\u0131m veri bozulmas\u0131na kesinlikle yol a\u00e7ar. Her i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n kendi ba\u011flant\u0131s\u0131n\u0131 olu\u015fturmas\u0131 veya bir ba\u011flant\u0131 havuzu kullan\u0131lmas\u0131 \u00e7ok daha g\u00fcvenlidir.<\/p>\n
    Performans ve \u00d6l\u00e7eklenebilirlik Hususlar\u0131<\/h3>\n
    SQLite, \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 bir ortamda belirli bir \u00f6l\u00e7e\u011fe kadar iyi performans g\u00f6sterebilir, ancak baz\u0131 s\u0131n\u0131rlamalar\u0131 vard\u0131r.<\/p>\n
    Kilit Gran\u00fclaritesi ve Performans Dengesi<\/h4>\n
    Kilitlerin gran\u00fclaritesi (ne kadar k\u00fc\u00e7\u00fck bir kayna\u011f\u0131 kilitledi\u011fi) performans\u0131 do\u011frudan etkiler. Global bir kilit, t\u00fcm veritaban\u0131n\u0131 kilitledi\u011fi i\u00e7in en d\u00fc\u015f\u00fck gran\u00fclariteye sahiptir ve performans\u0131 ciddi \u015fekilde d\u00fc\u015f\u00fcrebilir. Okuyucu-yaz\u0131c\u0131 kilitleri veya daha ince taneli kilitler (\u00f6rne\u011fin, tablo baz\u0131nda kilitler, ancak SQLite'da bu zorlu bir uygulamad\u0131r) daha iyi performans sunabilir. Ama\u00e7, yar\u0131\u015f ko\u015fullar\u0131n\u0131 engellerken, gereksiz engellemeleri en aza indirmektir.<\/p>\n
    \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131s\u0131 ve Veritaban\u0131 Y\u00fck\u00fc<\/h4>\n
    Uygulaman\u0131zdaki i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131 artt\u0131k\u00e7a ve veritaban\u0131 \u00fczerindeki y\u00fck yo\u011funla\u015ft\u0131k\u00e7a, SQLite'\u0131n tek dosya mimarisinin s\u0131n\u0131rlamalar\u0131 daha belirgin hale gelir. \u00d6zellikle yazma yo\u011fun senaryolarda, belirli bir i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131n\u0131n \u00f6tesinde performans art\u0131\u015f\u0131 durur veya d\u00fc\u015f\u00fc\u015fe ge\u00e7er. Bu noktada, SQLite'\u0131n s\u0131n\u0131rlar\u0131na ula\u015f\u0131ld\u0131\u011f\u0131n\u0131 ve farkl\u0131 bir veritaban\u0131 \u00e7\u00f6z\u00fcm\u00fcne ge\u00e7menin d\u00fc\u015f\u00fcn\u00fclmesi gerekti\u011fini g\u00f6sterir.<\/p>\n
    Ne Zaman Farkl\u0131 Bir Veritaban\u0131na Ge\u00e7ilmeli?<\/h4>\n
    SQLite, genellikle k\u00fc\u00e7\u00fck ila orta \u00f6l\u00e7ekli uygulamalar, yerel veri depolama, test veritabanlar\u0131 veya g\u00f6m\u00fcl\u00fc sistemler i\u00e7in m\u00fckemmeldir. Ancak a\u015fa\u011f\u0131daki durumlarda farkl\u0131 bir veritaban\u0131na ge\u00e7i\u015f d\u00fc\u015f\u00fcn\u00fclmelidir:<\/p>\n
      \n
    • \u00c7ok y\u00fcksek e\u015f zamanl\u0131 yazma y\u00fck\u00fc.<\/li>\n
    • Birden fazla uygulaman\u0131n veya sunucunun ayn\u0131 veritaban\u0131na eri\u015fmesi gerekti\u011fi durumlar (SQLite tek bir dosya oldu\u011fu i\u00e7in a\u011f \u00fczerinden eri\u015fim sorunludur).<\/li>\n
    • Uygulaman\u0131z\u0131n \u00f6l\u00e7e\u011fi b\u00fcy\u00fcd\u00fck\u00e7e ve karma\u015f\u0131k sorgular, b\u00fcy\u00fck veri k\u00fcmeleri ve y\u00fcksek i\u015flem hacmi gerektik\u00e7e.<\/li>\n
    • Geli\u015fmi\u015f veritaban\u0131 \u00f6zellikleri (replikasyon, sharding, geli\u015fmi\u015f g\u00fcvenlik, kullan\u0131c\u0131 y\u00f6netimi) gerekti\u011finde.<\/li>\n<\/ul>\n
      Bu senaryolarda PostgreSQL, MySQL, MariaDB gibi istemci-sunucu mimarisine sahip ili\u015fkisel veritabanlar\u0131 veya MongoDB, Cassandra gibi NoSQL veritabanlar\u0131 daha uygun \u00e7\u00f6z\u00fcmler sunar.<\/p>\n
      Alternatif Yakla\u015f\u0131mlar ve D\u00fc\u015f\u00fcnceler<\/h3>\n
      Bazen, \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 Python uygulamas\u0131nda SQLite'\u0131 kullanmaya \u00e7al\u0131\u015fmak yerine, mimariyi farkl\u0131 bir \u015fekilde tasarlamak daha iyi bir \u00e7\u00f6z\u00fcm olabilir.<\/p>\n
      \u00c7ok S\u00fcre\u00e7li (Multi-Process) Yakla\u015f\u0131m<\/h4>\n
      Python'\u0131n Global Yorumlay\u0131c\u0131 Kilidi (GIL) nedeniyle, \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalar CPU yo\u011fun g\u00f6revlerde ger\u00e7ek paralellik sa\u011flayamaz. \u00c7ok s\u00fcre\u00e7li (multi-process) yakla\u015f\u0131m, her s\u00fcrecin kendi yorumlay\u0131c\u0131s\u0131na ve bellek alan\u0131na sahip olmas\u0131 nedeniyle GIL k\u0131s\u0131tlamas\u0131n\u0131 a\u015far. Her s\u00fcrecin kendi SQLite ba\u011flant\u0131s\u0131n\u0131 a\u00e7mas\u0131 ve bu ba\u011flant\u0131lar aras\u0131nda yar\u0131\u015f ko\u015fullar\u0131, i\u015fletim sistemi d\u00fczeyindeki dosya kilitleri taraf\u0131ndan daha iyi y\u00f6netilebilir. Ancak, s\u00fcre\u00e7ler aras\u0131 ileti\u015fim ve veri payla\u015f\u0131m\u0131, i\u015f par\u00e7ac\u0131klar\u0131 aras\u0131 ileti\u015fimden daha karma\u015f\u0131k olabilir.<\/p>\n
      Harici Bir Veritaban\u0131 Sunucusuna Ge\u00e7i\u015f (PostgreSQL, MySQL)<\/h4>\n
      En sa\u011flam ve \u00f6l\u00e7eklenebilir \u00e7\u00f6z\u00fcm genellikle, veritaban\u0131 y\u00f6netimini harici bir sunucuya devretmektir. PostgreSQL veya MySQL gibi veritaban\u0131 sunucular\u0131, e\u015f zamanl\u0131 eri\u015fimi, kilitlenmeleri ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc \u00e7ok daha sofistike mekanizmalarla y\u00f6netir. Uygulaman\u0131zdaki i\u015f par\u00e7ac\u0131klar\u0131, bu sunuculara ba\u011f\u0131ms\u0131z ba\u011flant\u0131lar kurarak i\u015flem yapabilir ve veritaban\u0131 sunucusu t\u00fcm senkronizasyon ve kilit y\u00f6netimi y\u00fck\u00fcn\u00fc \u00fcstlenir. Bu, geli\u015ftiricinin yar\u0131\u015f ko\u015fullar\u0131yla u\u011fra\u015fma ihtiyac\u0131n\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde ortadan kald\u0131r\u0131r.<\/p>\n
      Mesaj Kuyruklar\u0131 (Message Queues) ile Veritaban\u0131 \u0130\u015flemlerini Ay\u0131rma<\/h4>\n
      Bir ba\u015fka mimari yakla\u015f\u0131m, veritaban\u0131 yazma i\u015flemlerini do\u011frudan i\u015f par\u00e7ac\u0131klar\u0131ndan yapmak yerine, bir mesaj kuyru\u011fu (\u00f6rne\u011fin, RabbitMQ, Kafka veya Redis'in listeleri) arac\u0131l\u0131\u011f\u0131yla ayr\u0131 bir \"veritaban\u0131 i\u015fleyici\" s\u00fcrecine veya i\u015f par\u00e7ac\u0131\u011f\u0131na g\u00f6ndermektir. \u0130\u015f par\u00e7ac\u0131klar\u0131 veritaban\u0131na yazmak istediklerinde, bir mesaj olu\u015fturup kuyru\u011fa g\u00f6nderirler. Tek bir i\u015fleyici, bu kuyruktaki mesajlar\u0131 s\u0131rayla al\u0131r ve veritaban\u0131 i\u015flemlerini ger\u00e7ekle\u015ftirir. Bu, t\u00fcm yazma i\u015flemlerinin serile\u015ftirilmesini ve veritaban\u0131na eri\u015fimin tek bir noktadan kontrol edilmesini garanti eder. Okuma i\u015flemleri hala do\u011frudan yap\u0131labilir veya \u00f6nbellekleme ile desteklenebilir.<\/p>\n
      Sonu\u00e7<\/h3>\n
      \u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 Python uygulamalar\u0131nda SQLite yar\u0131\u015f ko\u015fullar\u0131n\u0131 ortadan kald\u0131rmak, dikkatli tasar\u0131m ve do\u011fru senkronizasyon mekanizmalar\u0131n\u0131n kullan\u0131lmas\u0131n\u0131 gerektirir. threading.Lock<\/code> gibi temel kilitler, yar\u0131\u015f ko\u015fullar\u0131n\u0131 engellemenin en basit yoludur, ancak performans maliyeti vard\u0131r. WAL modu, okuma-yazma paralelli\u011fini art\u0131r\u0131rken, ba\u011flant\u0131 havuzlama ve okuyucu-yaz\u0131c\u0131 kilitleri gibi geli\u015fmi\u015f stratejiler daha iyi performans sunabilir.<\/p>\n
      Ancak, SQLite'\u0131n do\u011fas\u0131 gere\u011fi, \u00e7ok y\u00fcksek e\u015f zamanl\u0131 yazma y\u00fck\u00fcne sahip veya b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in ideal bir \u00e7\u00f6z\u00fcm de\u011fildir. Bu t\u00fcr durumlarda, PostgreSQL veya MySQL gibi sunucu tabanl\u0131 veritabanlar\u0131na ge\u00e7mek veya mesaj kuyruklar\u0131 gibi mimari desenler kullanmak daha s\u00fcrd\u00fcr\u00fclebilir ve \u00f6l\u00e7eklenebilir \u00e7\u00f6z\u00fcmler sunar. Do\u011fru yakla\u015f\u0131m\u0131 se\u00e7mek, uygulaman\u0131z\u0131n gereksinimlerine, beklenen y\u00fck\u00fcne ve uzun vadeli \u00f6l\u00e7eklenebilirlik hedeflerine ba\u011fl\u0131d\u0131r.<\/p>\n
      SSS (S\u0131k Sorulan Sorular)<\/h3>\n
      \n
      SQLite ger\u00e7ekten \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalar i\u00e7in uygun mu?<\/b><\/dt>\n
      Evet, uygun senkronizasyon mekanizmalar\u0131 (kilitler, WAL modu) ile kullan\u0131labilir. Ancak, \u00e7ok y\u00fcksek e\u015f zamanl\u0131 yazma y\u00fck\u00fc alt\u0131nda veya binlerce i\u015f par\u00e7ac\u0131\u011f\u0131 ile \u00f6l\u00e7eklenmesi zordur. Genellikle okuma yo\u011fun ve orta derecede yazma yo\u011funluklu senaryolar i\u00e7in daha uygundur.<\/dd>\n
      check_same_thread=False<\/code> kullanmak g\u00fcvenli mi?<\/b><\/dt>\n
      Hay\u0131r, genellikle g\u00fcvenli de\u011fildir ve \u00f6nerilmez. Bu parametre, Python'\u0131n i\u015f par\u00e7ac\u0131\u011f\u0131 g\u00fcvenli\u011fi kontrollerini devre d\u0131\u015f\u0131 b\u0131rak\u0131r ve veritaban\u0131 ba\u011flant\u0131s\u0131n\u0131n farkl\u0131 i\u015f par\u00e7ac\u0131klar\u0131 taraf\u0131ndan e\u015f zamanl\u0131 olarak kullan\u0131lmas\u0131 durumunda veri bozulmas\u0131na yol a\u00e7abilir. Manuel ve hatas\u0131z bir \u015fekilde senkronizasyon sa\u011flamak \u00e7ok zordur.<\/dd>\n
      WAL modu performans sorunlar\u0131n\u0131 tamamen \u00e7\u00f6zer mi?<\/b><\/dt>\n
      WAL (Write-Ahead Logging) modu, e\u015f zamanl\u0131 okuma ve yazma i\u015flemlerini m\u00fcmk\u00fcn k\u0131larak database is locked<\/code> hatalar\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r ve okuma performans\u0131n\u0131 art\u0131r\u0131r. Ancak, ayn\u0131 anda birden fazla yazma i\u015flemi hala serile\u015ftirilir. Yani, birden fazla i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n ayn\u0131 anda yazmaya \u00e7al\u0131\u015fmas\u0131 durumunda yine bir bekleme mekanizmas\u0131 devreye girer.<\/dd>\n
      Ne zaman SQLite yerine PostgreSQL gibi bir veritaban\u0131 kullanmal\u0131y\u0131m?<\/b><\/dt>\n
      Uygulaman\u0131z\u0131n y\u00fcksek e\u015f zamanl\u0131 yazma y\u00fck\u00fc varsa, birden fazla uygulama veya sunucu ayn\u0131 veritaban\u0131na eri\u015fecekse, b\u00fcy\u00fck veri k\u00fcmeleri ve karma\u015f\u0131k sorgularla \u00e7al\u0131\u015f\u0131yorsan\u0131z veya geli\u015fmi\u015f veritaban\u0131 y\u00f6netim \u00f6zellikleri (replikasyon, yedekleme, kullan\u0131c\u0131 y\u00f6netimi) gerekiyorsa PostgreSQL, MySQL gibi sunucu tabanl\u0131 bir veritaban\u0131na ge\u00e7i\u015f yapmal\u0131s\u0131n\u0131z.<\/dd>\n<\/dl>\n","protected":false},"excerpt":{"rendered":"\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Python Uygulamalar\u0131nda SQLite Yar\u0131\u015f Ko\u015fullar\u0131n\u0131 Ortadan Kald\u0131rmak: Kapsaml\u0131 Bir Rehber\nPython’da \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 (mul…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1403],"tags":[],"class_list":{"0":"post-38507","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-python","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Python Uygulamalar\u0131nda SQLite Yar\u0131\u015f Ko\u015fullar\u0131n\u0131 Ortadan Kald\u0131rmak: Kapsaml\u0131 Bir Rehber - 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