 Apache ShardingSphere 5.0.0-alpha Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating app developer and operator’s maintenance and operation. The following picture has shown the complex topological PE/*.xml Environment Configuration Integration test depends on existed database environment, developer need to setup the configuration file for corresponding database to test: Firstly, setup configuration configuration file /shardingsphere-integration-test-suite/src/test/ resources/env/SQL-TYPE/dataset.xml. Developer can set up metadata and expected data to start the data initialization in dataset.xml. For example:0 码力 | 311 页 | 2.09 MB | 1 年前3 Apache ShardingSphere 5.0.0-alpha Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating app developer and operator’s maintenance and operation. The following picture has shown the complex topological PE/*.xml Environment Configuration Integration test depends on existed database environment, developer need to setup the configuration file for corresponding database to test: Firstly, setup configuration configuration file /shardingsphere-integration-test-suite/src/test/ resources/env/SQL-TYPE/dataset.xml. Developer can set up metadata and expected data to start the data initialization in dataset.xml. For example:0 码力 | 311 页 | 2.09 MB | 1 年前3
 Apache ShardingSphere 5.0.0 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological created by ShardingSphereDataSourceFactory implements the stan‐ dard JDBC DataSource interface. Developer can choose to use native JDBC or ORM frameworks such as JPA or MyBatis through the DataSource. created by YamlShardingSphereDataSourceFactory implements the standard JDBC DataSource interface. Developer can choose to use native JDBC or ORM frameworks such as JPA or MyBatis through the DataSource.0 码力 | 403 页 | 3.15 MB | 1 年前3 Apache ShardingSphere 5.0.0 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological created by ShardingSphereDataSourceFactory implements the stan‐ dard JDBC DataSource interface. Developer can choose to use native JDBC or ORM frameworks such as JPA or MyBatis through the DataSource. created by YamlShardingSphereDataSourceFactory implements the standard JDBC DataSource interface. Developer can choose to use native JDBC or ORM frameworks such as JPA or MyBatis through the DataSource.0 码力 | 403 页 | 3.15 MB | 1 年前3
 Apache ShardingSphere 5.4.1 Documentfor real‐time anal‐ ysis in OLAP scenarios. 8.1.5 Related References • User Guide: sharding • Developer Guide: sharding 8.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological by encryption scenario changes. 8.7.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 8.7.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 572 页 | 3.73 MB | 1 年前3 Apache ShardingSphere 5.4.1 Documentfor real‐time anal‐ ysis in OLAP scenarios. 8.1.5 Related References • User Guide: sharding • Developer Guide: sharding 8.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological by encryption scenario changes. 8.7.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 8.7.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 572 页 | 3.73 MB | 1 年前3
 Apache ShardingSphere 5.2.0 Documentfor real‐time anal‐ ysis in OLAP scenarios. 3.1.5 Related References • User Guide: sharding • Developer Guide: sharding 3.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological changing any business logic and SQL. 3.8.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 3.8.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 483 页 | 4.27 MB | 1 年前3 Apache ShardingSphere 5.2.0 Documentfor real‐time anal‐ ysis in OLAP scenarios. 3.1.5 Related References • User Guide: sharding • Developer Guide: sharding 3.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological changing any business logic and SQL. 3.8.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 3.8.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 483 页 | 4.27 MB | 1 年前3
 Apache ShardingSphere 5.2.1 Documentfor real‐time anal‐ ysis in OLAP scenarios. 3.1.5 Related References • User Guide: sharding • Developer Guide: sharding 3.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological changing any business logic and SQL. 3.8.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 3.8.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 523 页 | 4.51 MB | 1 年前3 Apache ShardingSphere 5.2.1 Documentfor real‐time anal‐ ysis in OLAP scenarios. 3.1.5 Related References • User Guide: sharding • Developer Guide: sharding 3.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological changing any business logic and SQL. 3.8.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 3.8.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 523 页 | 4.51 MB | 1 年前3
 Apache ShardingSphere v5.5.0 documentfor real‐time anal‐ ysis in OLAP scenarios. 8.1.5 Related References • User Guide: sharding • Developer Guide: sharding 8.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological by encryption scenario changes. 8.7.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 8.7.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 602 页 | 3.85 MB | 1 年前3 Apache ShardingSphere v5.5.0 documentfor real‐time anal‐ ysis in OLAP scenarios. 8.1.5 Related References • User Guide: sharding • Developer Guide: sharding 8.1.6 Core Concept Table Tables are a key concept for transparent data sharding replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological by encryption scenario changes. 8.7.5 Related References • Configuration: Data Encryption • Developer Guide: Data Encryption 8.7.6 Core Concept Logic column It is used to calculate the encryption0 码力 | 602 页 | 3.85 MB | 1 年前3
 Apache ShardingSphere 5.1.1 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological details. 5.1. ShardingSphere-JDBC 69 Apache ShardingSphere document, v5.1.1 Use Data Source Developer can choose to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource Apache ShardingSphere 5.1.1 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological details. 5.1. ShardingSphere-JDBC 69 Apache ShardingSphere document, v5.1.1 Use Data Source Developer can choose to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource- ${shardingsphere.version} Use ShardingSphere Data Source in Spring Developer can inject to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource0 码力 | 458 页 | 3.43 MB | 1 年前3
 Apache ShardingSphere 5.1.2 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological details. 5.1. ShardingSphere-JDBC 72 Apache ShardingSphere document, v5.1.2 Use Data Source Developer can choose to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource Apache ShardingSphere 5.1.2 Documentreplica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological details. 5.1. ShardingSphere-JDBC 72 Apache ShardingSphere document, v5.1.2 Use Data Source Developer can choose to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource- ${shardingsphere.version} Use ShardingSphere Data Source in Spring Developer can inject to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource0 码力 | 503 页 | 3.66 MB | 1 年前3
 Apache ShardingSphere ElasticJob document Nov 01, 2023Dump Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer can not debug in production environment, ElasticJob provide dump command to export job runtime Dump Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer can not debug in production environment, ElasticJob provide dump command to export job runtime Information Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer cannot debug in production environment, ElasticJob provide dump command to export job runtime information0 码力 | 101 页 | 1.53 MB | 1 年前3 Apache ShardingSphere ElasticJob document Nov 01, 2023Dump Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer can not debug in production environment, ElasticJob provide dump command to export job runtime Dump Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer can not debug in production environment, ElasticJob provide dump command to export job runtime Information Using ElasticJob may meet some distributed problem which is not easy to observe. Because of developer cannot debug in production environment, ElasticJob provide dump command to export job runtime information0 码力 | 101 页 | 1.53 MB | 1 年前3
 MYBATIS Quick Guidethere are other elements that can be used in the configuration file of MyBatis documentation. Refer MyBatis documentation for the complete details. MyBatis with MySQL database MySQL is one of the most0 码力 | 34 页 | 301.72 KB | 1 年前3 MYBATIS Quick Guidethere are other elements that can be used in the configuration file of MyBatis documentation. Refer MyBatis documentation for the complete details. MyBatis with MySQL database MySQL is one of the most0 码力 | 34 页 | 301.72 KB | 1 年前3
共 11 条
- 1
- 2













