databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single Apache ShardingSphere document, v5.0.0-beta This diagram illustrates how the order‐by merger works when using next invocation. We can see from the diagram that when using next invocation, t_score_0 at the

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. 4.2. Sharding 22 Apache ShardingSphere document, v5.0.0 Theoretically, horizontal sharding has as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding

databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological rela‐ tions between applications and database groups when sharding