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
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-mongodb</artifactId>
</dependency>
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<ExplorationJob> 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<ExplorationJob> explorationJobs=mongoTemplate.find(query, ExplorationJob.class);
return explorationJobs;
}
(8)查询最大值
public Date getMaxExplorationDate(String tableName) {
FindIterable<Document> 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<Document> getDocuments(FindIterable<Document> iterable) {
List<Document> results = new ArrayList<Document>();
if (null != iterable) {
MongoCursor<Document> 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<TableExploration> 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<TableExploration> aggregationResults= mongoTemplate.aggregate(aggregation, "tableExploration", TableExploration.class);
List<TableExploration> tableExplorations=aggregationResults.getMappedResults();
return tableExplorations;
【常用操作总结完毕】
原文地址:https://blog.51cto.com/13501268/2448688
时间: 2024-11-08 15:32:48