sources, while simul‐ taneously performing data sharding. Q ue ry Fe de ra ti on Federated queries are effective in utilizing data in a complex data environment. Sharding‐ Sphere provides complex are binding tables. The multi‐table associated queries between binding tables will not have a Cartesian product association, so the associated queries will be much more effective. Here is an example data are identical in each database. Suitable for scenarios where the data volume is small and queries are required to be associ‐ ated with tables of massive data, e.g., dictionary tables. Single Table

for users, which can cope with the surge of business data volume. Feder‐ ated Query Federated queries are effective in utilizing data in a complex data environment. Sharding‐ Sphere is capable of querying are binding tables. The multi‐table associated queries between binding tables will not have a Cartesian product association, so the associated queries will be much more effective. Here is an example data are identical in each database. Suitable for scenarios where the data volume is small and queries are required to be associated with tables of massive data, e.g., dictionary tables. 3.1. Sharding

data sources, while simultane‐ ously performing data sharding. Query Feder‐ ation Federated queries are effective in utilizing data in a complex data environment. Sharding‐ Sphere provides complex are binding tables. The multi‐table associated queries between binding tables will not have a Cartesian product association, so the associated queries will be much more effective. Here is an example data are identical in each database. Suitable for scenarios where the data volume is small and queries are required to be associated with tables of massive data, e.g., dictionary tables. 3.1. Sharding

sources, while simul‐ taneously performing data sharding. Q ue ry Fe de ra ti on Federated queries are effective in utilizing data in a complex data environment. Sharding‐ Sphere provides complex are binding tables. The multi‐table associated queries between binding tables will not have a Cartesian product association, so the associated queries will be much more effective. Here is an example data are identical in each database. Suitable for scenarios where the data volume is small and queries are required to be associ‐ ated with tables of massive data, e.g., dictionary tables. Single Table

the features of SQL. Supports dynamic SQL − MyBatis provides features for dynamic building SQL queries based on parameters. Supports O/RM − MyBatis supports many of the same features as an O/RM tool is configured. The attributes of ‘delete’ mapped query are same as the insert and update mapped queries. Following is the example of the delete mapped query − queries to the Student class −

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Therefore, with the highest compatibility, it can execute any SQL in complex situations, including sub‐queries, self‐defined functions. Direct route can also be used in the situation where sharding keys are needs to acquire two database connections from a data source and apply them in two table sharding queries routed to one database. It is possible that Query A has already acquired a database connection from then TableAlias could work well in select function items. Pagination Totally support pagination queries of MySQL, PostgreSQL and Oracle; partly support SQLServer pagi‐ nation query due to its complexity

name as column owner in function I nstead of table alias Pagination Totally support pagination queries of MySQL, PostgreSQL and Oracle; partly support SQLServer pagi‐ nation query due to its complexity the insert, delete and update of trans‐ actions, while the replica database is responsible for queries. It can significantly improve the query performance of the whole system by effectively avoiding database with multiple replica databases can further enhance processing capacity by dis‐ tributing queries evenly into multiple data replicas. Multiple primary databases with multiple replica databases can

name as column owner in function I nstead of table alias Pagination Totally support pagination queries of MySQL, PostgreSQL and Oracle; partly support SQLServer pagi‐ nation query due to its complexity the insert, delete and update of trans‐ actions, while the replica database is responsible for queries. It can significantly improve the query performance of the whole system by effectively avoiding database with multiple replica databases can further enhance processing capacity by dis‐ tributing queries evenly into multiple data replicas. Multiple primary databases with multiple replica databases can

name as column owner in function I nstead of table alias Pagination Totally support pagination queries of MySQL, PostgreSQL and Oracle; partly support SQLServer pagi‐ nation query due to its complexity the insert, delete and update of trans‐ actions, while the replica database is responsible for queries. It can significantly improve the query performance of the whole system by effectively avoiding database with multiple replica databases can further enhance processing capacity by dis‐ tributing queries evenly into multiple data replicas. Multiple primary databases with multiple replica databases can

DYNAMIC SQL Dynamic SQL is a very powerful feature of MyBatis. It enables programmers to build queries based on the scenario dynamically. For example, if you want to search the Student data base, based