------------+----------+----------------------+ 1 row in set (0.00 sec) MYBATIS - ANNOTATIONS MYBATIS - ANNOTATIONS In the previous chapters, we have seen how to perform curd operations using MyBatis MyBatis. To map SQL statements, MyBatis also provides annotations. So, this chapter discusses how to use MyBatis annotations. While working with annotations, instead of configuration XML file, we can use a where we declare the mapped statements using annotations instead of XML tags. For almost all of the XML-based mapper elements, MyBatis provides annotations. The following file named Student_mapper.java

で任意に変更することが可能です apiVersion: pingcap.com/v1alpha1 kind: TidbCluster metadata: name: sample annotations: pingcap.com/ha-topology-key: topology.kubernetes.io/zone spec: version: v5.2.2 pd: を消したい！ apiVersion: apps.pingcap.com/v1alpha1 kind: StatefulSet metadata: name: sample-asts annotations: delete-slots: '[1]' spec: ... sample-asts.yaml これで mypod-1 は 自動的に消えます Open Source が正常に状態を管理できなくな ります apiVersion: pingcap.com/v1alpha1 kind: TidbCluster metadata: name: sample annotations: tikv.tidb.pingcap.com/delete-slots: '[0]' spec: version: v5.2.2 pd: ... TidbCluster

NOTE NOTE You will notice that join mapping is not supported via the Annotations API. This is due to the limitation in Java Annotations that does not allow for circular references. @MapKey 方法 复 杂 类 型 的

Parameter description: keep the comment, send the comment to the server Execute SQL containing annotations, for example: SELECT * FROM table_name /*shadow:true,foo:bar*/; Comment statement will be intercepted

public void setGoods(Integer goods) { this.goods = goods; } } The entity class has several annotations that give Hibernate additional information to bind the entity class to the table. 184 • @Entity PlayerController uses annotations as many as possible to demonstrate features. In real projects, keep the style consistent while following the rules of your company or team. The annotations in PlayerController interface, and the implementation classes of interface are automatically 200 generated using XML or annotations. package com.pingcap.model; import com.pingcap.model.Player; public interface PlayerMapper {

Parameter description: keep the comment, send the comment to the server Execute SQL containing annotations, for example: SELECT * FROM table_name /*shadow:true,foo:bar*/; Comment statement will be intercepted

specific target tables that will be updated, in the same order as the corresponding subplans. (These annotations are new as of PostgreSQL 9.5; in prior versions the reader had to intuit the target tables by inspecting that helps the planner optimize function calls. Some basic facts can be supplied by declarative annotations provided in the CREATE FUNCTION command. Most important of these is the function's volatility category file(s). A row appears in this view for each “name = value” entry appearing in the files, with annotations indicating whether the value could be applied successfully. Additional row(s) may appear for problems

specific target tables that will be updated, in the same order as the corresponding subplans. (These annotations are new as of PostgreSQL 9.5; in prior versions the reader had to intuit the target tables by inspecting that helps the planner optimize function calls. Some basic facts can be supplied by declarative annotations provided in the CREATE FUNCTION command. Most important of these is the function's volatility category file(s). A row appears in this view for each “name = value” entry appearing in the files, with annotations indicating whether the value could be applied successfully. Additional row(s) may appear for problems

specific target tables that will be updated, in the same order as the corresponding subplans. (These annotations are new as of PostgreSQL 9.5; in prior versions the reader had to intuit the target tables by inspecting that helps the planner optimize function calls. Some basic facts can be supplied by declarative annotations provided in the CREATE FUNCTION command. Most important of these is the function's volatility category file(s). A row appears in this view for each “name = value” entry appearing in the files, with annotations indicating whether the value could be applied successfully. Additional row(s) may appear for problems

specific target tables that will be updated, in the same order as the corresponding subplans. (These annotations are new as of PostgreSQL 9.5; in prior versions the reader had to intuit the target tables by inspecting that helps the planner optimize function calls. Some basic facts can be supplied by declarative annotations provided in the CREATE FUNCTION command. Most important of these is the function's volatility category file(s). A row appears in this view for each “name = value” entry appearing in the files, with annotations indicating whether the value could be applied successfully. Additional row(s) may appear for problems