Spring Boot mongodb Spring Boot集成mongodb数据库过程解析
墨营 人气:1一.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:dhcc-mongodb@192.168.100.87:27017/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;
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