developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all regular SQL when

concurrency in OLTP scenarios . . . . . . . . . . . . . . . . . . . 19 Mass data real‐time analysis in OLAP scenarios . . . . . . . . . . . . . . . . . . . 20 3.1.5 Related References . . . . . . . . . . developed with Java. ShardingSphere‐Proxy provides static entry and supports all languages, applicable to OLAP applications and the sharding databases management and operation situation. Apache ShardingSphere scenarios. 3.1. Sharding 19 Apache ShardingSphere document, v5.2.0 Mass data real-time analysis in OLAP scenarios In traditional database architecture, if users want to analyze data, they need to use ETL

concurrency in OLTP scenarios . . . . . . . . . . . . . . . . . . . 18 Mass data real‐time analysis in OLAP scenarios . . . . . . . . . . . . . . . . . . . 19 3.1.5 Related References . . . . . . . . . . developed with Java. ShardingSphere‐Proxy provides static entry and supports all languages, applicable to OLAP applications and the sharding databases management and operation situation. Apache ShardingSphere scenarios. 3.1. Sharding 18 Apache ShardingSphere document, v5.2.1 Mass data real-time analysis in OLAP scenarios In traditional database architecture, if users want to analyze data, they need to use ETL

developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. 4.3. Sharding 37 Apache ShardingSphere document, v5.1.2 SQL

developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an developed with Java. ShardingSphere‐Proxy provides static entry and all languages support, applicable for OLAP application and the sharding databases management and operation situ‐ ation. ShardingSphere is an database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all regular SQL when

concurrency in OLTP scenarios . . . . . . . . . . . . . . . . . . . 22 Mass data real‐time analysis in OLAP scenarios . . . . . . . . . . . . . . . . . . . 23 8.1.5 Related References . . . . . . . . . . developed with Java. ShardingSphere‐Proxy provides static entry and supports all languages, applicable to OLAP applications and the sharding databases management and operation situation. Apache ShardingSphere OLTP scenarios. 8.1. Sharding 22 Apache ShardingSphere document Mass data real-time analysis in OLAP scenarios In traditional database architecture, if users want to analyze data, they need to use ETL

. . . 17 海量数据高并发的 OLTP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 海量数据实时分析 OLAP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.1.5 相关参考 . . . . . . . . . . . 采用无中心化架构，与应用程序共享资源，适用于 Java 开发的高性能的轻量级 OLTP 应用；ShardingSphere‐Proxy 提供静态入口以及异构语言的支持，独立于应用程序部署，适用于 OLAP 应用以及对分片数据库进行管理和运维的场景。 Apache ShardingSphere 是多接入端共同组成的生态圈。通过混合使用 ShardingSphere‐JDBC 和 Sharding OLTP 场景下的性能要求。 海量数据实时分析 OLAP 场景 在传统的数据库架构中，如果用户想要进行数据分析，需要先使用 ETL 工具，将数据同步至数据平台中， 然后再进行数据分析，使用 ETL 工具会导致数据分析的实效性大打折扣。ShardingSphere‐Proxy 提供静 态入口以及异构语言的支持，独立于应用程序部署，适用于实时分析的 OLAP 场景。 3.1.5 相关参考 • 数据分片的配置

. . . 21 海量数据高并发的 OLTP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 海量数据实时分析 OLAP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 8.1.5 相关参考 . . . . . . . . . . . 采用无中心化架构，与应用程序共享资源，适用于 Java 开发的高性能的轻量级 OLTP 应用；ShardingSphere‐Proxy 提供静态入口以及异构语言的支持，独立于应用程序部署，适用于 OLAP 应用以及对分片数据库进行管理和运维的场景。 Apache ShardingSphere 是多接入端共同组成的生态圈。通过混合使用 ShardingSphere‐JDBC 和 Sharding OLTP 场景下的性能要求。 海量数据实时分析 OLAP 场景 在传统的数据库架构中，如果用户想要进行数据分析，需要先使用 ETL 工具，将数据同步至数据平台中， 然后再进行数据分析，使用 ETL 工具会导致数据分析的实效性大打折扣。ShardingSphere‐Proxy 提供静 态入口以及异构语言的支持，独立于应用程序部署，适用于实时分析的 OLAP 场景。 8.1.5 相关参考 • 数据分片的配置

. . . 21 海量数据高并发的 OLTP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 海量数据实时分析 OLAP 场景 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 8.1.5 相关参考 . . . . . . . . . . . 采用无中心化架构，与应用程序共享资源，适用于 Java 开发的高性能的轻量级 OLTP 应用；ShardingSphere‐Proxy 提供静态入口以及异构语言的支持，独立于应用程序部署，适用于 OLAP 应用以及对分片数据库进行管理和运维的场景。 Apache ShardingSphere 是多接入端共同组成的生态圈。通过混合使用 ShardingSphere‐JDBC 和 Sharding OLTP 场景下的性能要求。 海量数据实时分析 OLAP 场景 在传统的数据库架构中，如果用户想要进行数据分析，需要先使用 ETL 工具，将数据同步至数据平台中， 然后再进行数据分析，使用 ETL 工具会导致数据分析的实效性大打折扣。ShardingSphere‐Proxy 提供静 态入口以及异构语言的支持，独立于应用程序部署，适用于实时分析的 OLAP 场景。 8.1.5 相关参考 • 数据分片的配置

concurrency in OLTP scenarios . . . . . . . . . . . . . . . . . . . 22 Mass data real‐time analysis in OLAP scenarios . . . . . . . . . . . . . . . . . . . 23 8.1.5 Related References . . . . . . . . . . developed with Java. ShardingSphere‐Proxy provides static entry and supports all languages, applicable to OLAP applications and the sharding databases management and operation situation. Apache ShardingSphere OLTP scenarios. 8.1. Sharding 22 Apache ShardingSphere document Mass data real-time analysis in OLAP scenarios In traditional database architecture, if users want to analyze data, they need to use ETL