Adicionalmente, podemos mencionar o lan\u00e7amento da extens\u00e3o SynchDB 1.0, destinada \u00e0 replica\u00e7\u00e3o de dados do PostgreSQL de um ou mais bancos de dados externos, como MySQL, MS SQLServer e Oracle. Esses bancos de dados externos atuam como fontes de dados que s\u00e3o diretamente transferidos para um \u00fanico banco de dados de destino baseado em PostgreSQL, sem o uso de intermedia\u00e7\u00f5es adicionais para orquestrar o processo de sincroniza\u00e7\u00e3o de dados (todas as opera\u00e7\u00f5es de sincroniza\u00e7\u00e3o s\u00e3o tratadas pela extens\u00e3o SynchDB). O c\u00f3digo do projeto \u00e9 escrito em C e Java e distribu\u00eddo sob a licen\u00e7a Apache 2.0. A vers\u00e3o 1.0 do SynchDB \u00e9 marcada como o primeiro lan\u00e7amento est\u00e1vel do projeto. <\/p>\n
O sistema inclui seis componentes: <\/p>\n
- \n
- Debezium Runner Engine — um motor Java que fornece m\u00f3dulos para processar fluxos de altera\u00e7\u00f5es de dados de v\u00e1rios SGBDs (MySQL, MS SQLServer e Oracle) e transmitir os dados recebidos em um formato universal JSON.\n
- SynchDB Worker — inicia inst\u00e2ncias do Debezium Runner Engine para replica\u00e7\u00e3o de dados de SGBDs espec\u00edficos, recebe altera\u00e7\u00f5es deles no formato JSON e as transmite para o m\u00f3dulo Format Converter.\n
- SynchDB Launcher — cria e finaliza manipuladores SynchDB, utilizando a API PostgreSQL para iniciar processos em segundo plano.\n
- Format Converter — analisa o fluxo de altera\u00e7\u00f5es no formato JSON, converte tipos de dados de terceiros e consultas DDL em tipos e consultas compat\u00edveis com PostgreSQL.\n
- Replication Agent — processa a sa\u00edda no formato HeapTupleData do Format Converter e inicia m\u00e9todos para inserir dados no PostgreSQL.\n
- Table Synch Agent (em desenvolvimento) — oferece um m\u00e9todo eficaz para a sincroniza\u00e7\u00e3o inicial de tabelas. <\/ul>\n
![\"IvorySQL](\"\/wp-content\/uploads\/2024\/12\/c8e38abad675ca21ad7d0ca36aa2ceea.png\")
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Fonte: 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\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\udd47Dispon\u00edveis IvorySQL 4.0 e SynchDB 1.0, extens\u00f5es para PostgreSQL para interagir com outros bancos de dados | ProHoster","description":"Lan\u00e7amento do projeto IvorySQL 4.0, que desenvolve uma edi\u00e7\u00e3o do banco de dados PostgreSQL, garantindo compatibilidade com aplica\u00e7\u00f5es projetadas para trabalhar com bancos de dados 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