language that can be used within any mapped SQL statement. Following are the OGNL based Dynamic SQL expressions provided by MyBatis. if choose when, otherwise trim where, set foreach The if Statement The GetRecordByName.java File This file has application level logic to read conditional records from the Student table − import java.io.IOException; import java.io.Reader; import java

Masking Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418 Row Value Expressions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422 9.3.3 SQL Hint . . . . . via Java API and SQL annotation. See Mandatory Sharding Routing for details. Row Value Expressions Row expressions are designed to address the two main issues of configuration simplification and inte‐ data nodes increases. The data node configuration workload can be effectively simplified by row expressions. For the common sharding algorithm, using Java code implementation does not help to manage the

Masking Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449 Row Value Expressions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 9.3.3 SQL Hint . . . . . via Java API and SQL annotation. See Mandatory Sharding Routing for details. Row Value Expressions Row expressions are designed to address the two main issues of configuration simplification and inte‐ data nodes increases. The data node configuration workload can be effectively simplified by row expressions. For the common sharding algorithm, using Java code implementation does not help to manage the

language that can be used within any mapped SQL statement. Following are the OGNL based Dynamic SQL expressions provided by MyBatis. if choose when, otherwise trim where, set foreach The if Statement The GetRecordByName.java File This file has application level logic to read conditional records from the Student table − import java.io.IOException; import java.io.Reader; import java

Inline expressions can simplify data node configuration work. Java codes are not helpful in the unified management of common configurations. Writing sharding algorithms with inline expressions, users together, making them easier to be browsed and stored. Syntax Explanation The use of inline expressions is really direct. Users only need to configure ${ expression } or $->{ expression } to identify configurations of data nodes and sharding algorithms. Inline expressions use Groovy syntax, which can support all kinds of operations, including inline expressions. For example: ${begin..end} means range ${[unit1

Inline expressions can simplify data node configuration work. Java codes are not helpful in the unified management of common configurations. Writing sharding algorithms with inline expressions, users together, making them easier to be browsed and stored. Syntax Explanation The use of inline expressions is really direct. Users only need to configure ${ expression } or $->{ expression } to identify configurations of data nodes and sharding algorithms. Inline expressions use Groovy syntax, which can support all kinds of operations, including inline expressions. For example: ${begin..end} means range ${[unit1

via Java API and SQL annotation. See Mandatory Sharding Routing for details. Row Value Expressions Row expressions are designed to address the two main issues of configuration simplification and inte‐ data nodes increases. The data node configuration workload can be effectively simplified by row expressions. For the common sharding algorithm, using Java code implementation does not help to manage the the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse and store. Row expressions are very intuitive, just use ${ expression

Inline expressions can simplify data node configuration work. Java codes are not helpful in the unified management of common configurations. Writing sharding algorithms with inline expressions, users together, making them easier to be browsed and stored. Syntax Explanation The use of inline expressions is really direct. Users only need to configure ${ expression } or $->{ expression } to identify configurations of data nodes and sharding algorithms. Inline expressions use Groovy syntax, which can support all kinds of operations, including inline expressions. For example: ${begin..end} means range ${[unit1

via Java API and SQL annotation. See Mandatory Sharding Routing for details. Row Value Expressions Row expressions are designed to address the two main issues of configuration simplification and inte‐ data nodes increases. The data node configuration workload can be effectively simplified by row expressions. For the common sharding algorithm, using Java code implementation does not help to manage the the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse and store. Row expressions are very intuitive, just use ${ expression

Inline expressions can simplify data node configuration work. Java codes are not helpful in the unified management of common configurations. Writing sharding algorithms with inline expressions, users 3. Sharding 31 Apache ShardingSphere document, v5.1.2 Syntax Explanation The use of inline expressions is really direct. Users only need to configure ${ expression } or $->{ expression } to identify configurations of data nodes and sharding algorithms. Inline expressions use Groovy syntax, which can support all kinds of operations, including inline expressions. For example: ${begin..end} means range ${[unit1