Spring Boot集成mongodb数据库过程解析

一.认识mongodb

MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中功能最丰富,最像关系数据库的。它支持的数据结构非常松散,是类似json的bson格式,因此可以存储比较复杂的数据类型。Mongo最大的特点是它支持的查询语言非常强大,其语法有点类似于面向对象的查询语言,几乎可以实现类似关系数据库单表查询的绝大部分功能,而且还支持对数据建立索引。

二.Spring boot项目集成mongodb

1.添加mongodb依赖


      org.springframework.boot
      spring-boot-starter-data-mongodb
    

2.配置mongodb的连接

spring:
data:
mongodb:
#uri: mongodb://localhost:27017/data_exploration
uri: mongodb://root:[email protected]:27017/data_exploration?authSource=admin&authMechanism=SCRAM-SHA-1

解析:以上uri分别代表本地配置和远程连接

3.操作数据库

(1)保存

@Repository
public class ExplorationJobDao {

  @Autowired
  MongoTemplate mongoTemplate;

  public void save(ExplorationJob explorationJob) {
    mongoTemplate.save(explorationJob);
  }
}

(2)根据ID修改一条数据(其原理先符合ID的数据,然后删除查询结果的第一条)

public void updateExecutionStatusById(int executionStatus, String jobId) {
      Query query = new Query(Criteria.where("jobId").is(jobId));
      Update update = new Update().set("executionStatus", executionStatus);
      mongoTemplate.updateFirst(query, update, ExplorationJob.class);
  }

(3)根据条修改多条数据(查询符合ID的所有数据,然后将所有数据修改)

public void update(BusinessExploration businessExploration) {
    Query query = new Query(Criteria.where("_id").is(businessExploration.getId()));
    Update update = new Update().set("sourceUnit", businessExploration.getSourceUnit())
        .set("appSystem", businessExploration.getAppSystem())
        .set("businessImplication", businessExploration.getBusinessImplication())
        .set("safetyRequire", businessExploration.getSafetyRequire());
    mongoTemplate.updateMulti(query, update, TableExploration.class);
  }

(4)删除(根据ID删除)

public void delExplorationJobById(String jobId) {
     Query query=new Query(Criteria.where("jobId").is(jobId));
     mongoTemplate.remove(query,ExplorationJob.class);
  }

(5)根据条件查询(根据ID查询)

public ExplorationJob getExplorationJobByJobId(String jobId) {
    Query query = new Query(Criteria.where("jobId").is(jobId));
    ExplorationJob explorationJob = mongoTemplate.findOne(query, ExplorationJob.class);
    return explorationJob;
  }

(6)查询所有

mongoTemplate.findAll(TableExploration.class);

(7)多条件动态查询

public List getExplorationByCondition(ExplorationJob explorationJob) {
    Query query = new Query();
    if (explorationJob.getJobName() != null) {
       Pattern pattern = Pattern.compile("^.*" + explorationJob.getJobName() + ".*$", Pattern.CASE_INSENSITIVE);
       query.addCriteria(Criteria.where("jobName").regex(pattern));
    }
    if (explorationJob.getDsType() != null) {
      query.addCriteria(Criteria.where("dsType").is(explorationJob.getDsType()));
    }
    if (explorationJob.getExecutionStatus() != null) {
       query.addCriteria(Criteria.where("executionStatus").lte(explorationJob.getExecutionStatus()));
    }
    List explorationJobs=mongoTemplate.find(query, ExplorationJob.class);
    return explorationJobs;
  }

(8)查询最大值

public Date getMaxExplorationDate(String tableName) {
    FindIterable iterable = mongoTemplate.getCollection("tableExploration")
        .find(new BasicDBObject("tableName", tableName)).sort(new BasicDBObject("explorationDate", -1)).skip(0)
        .limit(1);
    Document doc =null;
    if (getDocuments(iterable).size()>0) {
      doc=getDocuments(iterable).get(0);
      Date date = doc.getDate("explorationDate");
      return date;
    }else {
      return null;
    }
  }

  /**
   * 工具方法
   * 
   * @param iterable
   * @return
   */
  public static List getDocuments(FindIterable iterable) {
    List results = new ArrayList();
    if (null != iterable) {
      MongoCursor cursor = iterable.iterator();
      Document doc = null;
      while (cursor.hasNext()) {
        doc = cursor.next();
        results.add(doc);
      }
    }
    return results;
  }

(9)分组查询(这里还是用到了排序)

public List getAllTableExplorationGroupByTableName(String jobId){
    Aggregation aggregation = Aggregation.newAggregation(
        Aggregation.match(Criteria.where("jobId").is(jobId)),
        Aggregation.sort(new Sort(Direction.DESC,"explorationDate")),
        Aggregation.group("tableName")
        .first("_id").as("tableName")
        .first("databaseType").as("databaseType")
        .first("databaseName").as("databaseName")
        .first("networkSituation").as("networkSituation")
        .first("userName").as("userName")
        .first("password").as("password")
        .first("url").as("url")
        .first("dataStorage").as("dataStorage")
        .first("dataIncrement").as("dataIncrement")
        .first("explorationDate").as("explorationDate")
        //.push("columnExplorations").as("columnExplorations")
        .first("jobId").as("jobId")
        );
    AggregationResults aggregationResults= mongoTemplate.aggregate(aggregation, "tableExploration", TableExploration.class);
    List tableExplorations=aggregationResults.getMappedResults();
    return tableExplorations;

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

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