Zus\u00e4tzlich kann die Ver\u00f6ffentlichung der Erweiterung SynchDB 1.0 erw\u00e4hnt werden, die f\u00fcr die Replikation von Daten aus einer oder mehreren externen Datenbanken wie MySQL, MS SQLServer und Oracle nach PostgreSQL vorgesehen ist. Solche externen Datenbanken fungieren als Datenquellen, die direkt in eine Ziel-Datenbank auf PostgreSQL-Basis \u00fcbertragen werden, ohne zus\u00e4tzliche Schichten zur Orchestrierung des Synchronisationsprozesses zu verwenden (alle Synchronisationsoperationen werden von der Erweiterung SynchDB verarbeitet). Der Code des Projekts ist in C und Java geschrieben und wird unter der Apache 2.0-Lizenz vertrieben. SynchDB 1.0 gilt als die erste stabile Version des Projekts. <\/p>\n
Das System umfasst sechs Komponenten: <\/p>\n
- \n
- Debezium Runner Engine \u2014 eine auf Java basierende Engine, die Module zur Verarbeitung von Daten\u00e4nderungsstr\u00f6men aus verschiedenen Datenbanken (MySQL, MS SQLServer und Oracle) bereitstellt und die erhaltenen Daten in einem universellen JSON-Format \u00fcbersetzt.\n
- SynchDB Worker \u2014 startet Instanzen der Debezium Runner Engine, um Daten aus bestimmten Datenbanken zu replizieren, empf\u00e4ngt von ihnen \u00c4nderungen im JSON-Format und leitet sie an das Format Converter-Modul weiter.\n
- SynchDB Launcher \u2014 erstellt und beendet die SynchDB-Handler, indem es die PostgreSQL-API verwendet, um Hintergrundprozesse zu starten.\n
- Format Converter \u2014 analysiert den Daten\u00e4nderungsstrom im JSON-Format, konvertiert externe Datentypen und DDL-Anfragen in Datentypen und Anfragen, die mit PostgreSQL kompatibel sind.\n
- Replication Agent \u2014 verarbeitet die Ausgabe im HeapTupleData-Format aus dem Format Converter und ruft Methoden auf, um Daten in PostgreSQL einzuf\u00fcgen.\n
- Table Synch Agent (in Entwicklung) \u2013 bietet eine effiziente Methode zur initialen Synchronisierung von Tabellen. <\/ul>\n
![\"IvorySQL](\"\/wp-content\/uploads\/2024\/12\/c8e38abad675ca21ad7d0ca36aa2ceea.png\")
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Quelle: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 IvorySQL 4.0, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u044e \u0421\u0423\u0411\u0414 PostgreSQL, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044e\u0449\u0443\u044e \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c \u0441 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f\u043c\u0438, \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u043d\u043d\u044b\u043c\u0438 \u043d\u0430 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 \u0421\u0423\u0411\u0414 Oracle. \u0412 IvorySQL \u0437\u0430\u044f\u0432\u043b\u0435\u043d\u0430 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u044b \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e\u0439 \u0437\u0430\u043c\u0435\u043d\u044b \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 PostgreSQL, \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0441\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u043a \u043f\u043e\u044f\u0432\u043b\u0435\u043d\u0438\u044e \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 «compatible_db», \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0449\u0435\u0439 \u0440\u0435\u0436\u0438\u043c \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 Oracle. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u0421\u0438 \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":121168,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-121167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47IvorySQL 4.0 und SynchDB 1.0 sind verf\u00fcgbar, Erweiterungen f\u00fcr PostgreSQL zur Interaktion mit anderen Datenbanken | ProHoster","description":"Die Ver\u00f6ffentlichung von IvorySQL 4.0, einer Weiterentwicklung der PostgreSQL-Datenbank, die die Kompatibilit\u00e4t mit Anwendungen sicherstellt, die f\u00fcr den Einsatz mit Oracle-Datenbanken konzipiert sind, ist 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