Running gradle tasks without an internet connection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 7.4. Setup an external database like MySQL, PostgreSQL, etc. . . . . . . want to use an external database like MySQL or PostgreSQL, read the "Setup an external database" section to set it up. Note: If you want to run OFBiz without an internet connection, read the "Running gradle gradle tasks without an internet connection" section. Note: The directory structure and repositories have changed. For more information read the "Repository and directory structure" section. 1 1. System

Running gradle tasks without an internet connection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 7.4. Setup an external database like MySQL, PostgreSQL, etc. . . . . . . want to use an external database like MySQL or PostgreSQL, read the "Setup an external database" section to set it up. Note: If you want to run OFBiz without an internet connection, read the "Running gradle gradle tasks without an internet connection" section. Note: The directory structure and repositories have changed. For more information read the "Repository and directory structure" section. 1 1. System

Entity Engine The entity engine allows OFBiz users to define entities, data, and queries in a database-independent domain specific language (DSL) based on XML. Thus, without learning any SQL users can platform-independent manner and Apache OFBiz would make the translations under the hood to each database system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented OFBiz: 2.2.1. Clean system and load the complete OFBiz data Note: Depending on your Internet connection speed it might take a long time for this step to complete if you are using OFBiz for the first

Entity Engine The entity engine allows OFBiz users to define entities, data, and queries in a database-independent domain specific language (DSL) based on XML. Thus, without learning any SQL users can platform-independent manner and Apache OFBiz would make the translations under the hood to each database system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented OFBiz: 2.2.1. Clean system and load the complete OFBiz data Note: Depending on your Internet connection speed it might take a long time for this step to complete if you are using OFBiz for the first

Entity Engine The entity engine allows OFBiz users to define entities, data, and queries in a database-independent domain specific language (DSL) based on XML. Thus, without learning any SQL users can platform-independent manner and Apache OFBiz would make the translations under the hood to each database system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented OFBiz: 2.2.1. Clean system and load the complete OFBiz data Note: Depending on your Internet connection speed it might take a long time for this step to complete if you are using OFBiz for the first

Entity Engine The entity engine allows OFBiz users to define entities, data, and queries in a database-independent domain specific language (DSL) based on XML. Thus, without learning any SQL users can platform-independent manner and Apache OFBiz would make the translations under the hood to each database system. 1.2.3. Service Engine Apache OFBiz is designed specifically around a Service Oriented OFBiz: 2.2.1. Clean system and load the complete OFBiz data Note: Depending on your Internet connection speed it might take a long time for this step to complete if you are using OFBiz for the first

innovation represented by open source. In particular, the combination of open source with data (database & big data) and hot technologies such as AI has brought great imagination to the market. participants. 3.16 数据库 / 3.16 Database 数据库使用情况中，不出意外地，MySQL 以绝对优势遥遥领先，SQL Server 与 Oracle 跟 随其后。 Not surprisingly, MySQL leads the pack in terms of database usage, with SQL Server and Oracle source project is not globally competitive, its market will be minimal. For example, PingCAP's database product TiDB is benchmarked against CockroachDB in the US, but in terms of community activity

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 8.1.3. Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 9.7. Database Communication. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . translation labels (i18n) ├── data/ - XML data to load into the database ├── entitydef/ - Defined database entities ├── minilang/ - A collection of scripts written in minilang

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 8.1.3. Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 13.8. Database Communication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . translation labels (i18n) ├── data/ - XML data to load into the database ├── entitydef/ - Defined database entities ├── groovyScripts/ - A collection of scripts written in Groovy

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 8.1.3. Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 9.7. Database Communication. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . translation labels (i18n) ├── data/ - XML data to load into the database ├── entitydef/ - Defined database entities ├── groovyScripts/ - A collection of scripts written in Groovy