Mongodb3.4 leanote how to#

INSERT INTO `student` (`id`, `name`, `tid`) VALUES (9, ' Brother Wang ', 1) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (8, ' Handsome li ', 4) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (7, ' Delireba ', 1) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (6, ' Fan Bingbing ', 1) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (5, ' Lich King ', 4) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (4, ' Ma Xiaotiao ', 2) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (3, ' Wang Xiaoer ', 2) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (2, ' Xie shuaige ', 3) INSERT INTO `student` (`id`, `name`, `tid`) VALUES (1, ' Yao Wei ', 1) Student surface пјљ CREATE TABLE `student` (Д¬ONSTRAINT `fktid` FOREIGN KEY (`tid`) REFERENCES `teacher` (`id`) OfTypeпјљ Generic information in the collectionДЄssociationпјљ A complex type of AssociationД¬ollectionпјљ A collection of complex types One гЂЃ Building a databaseД«uild a student Table and teacher surface, Connect them with foreign keys, Generally speaking, from the perspective of performance and maintainability, Do not use foreign keys to associate tables, But at the business level. Propertyпјљ object гЂЃ The name of the member variable attribute You need to understand a few labels before you look at them пјљ Before the operation, You need to get the relevant configuration done, You can refer to the previous blogs of bloggers. Each query can be implemented in two ways пјљ Nested by query пј€ Subquery пј‰ And nested processing according to the results пј€ League table query пј‰.

Mongodb3.4 leanote how to#

Whether it's one to many or many to one, Nothing more than two labels пјљcollection and association, As for how to use and understand, It will be explained later.

Last time, I sorted out some basic operations of a single table, Real work may involve complex multi table queries, This paper mainly focuses on Mybatis Multi table query one to many гЂЃ Tell one more story. You can try out MongoDB 4.4 today on our fully-managed Atlas service.2.3 To write Mapper The configuration file пј€StudentMapper.xmlпј‰ДЈ.3 To write Mapper The configuration file пј€TeacherMapper.xmlпј‰ TLS 1.3 and 50% faster client authentication to MongoDBДownload the Guide to learn more and get started with MongoDB 4.4 Resumable Initial Sync to make it easier and faster to scale-out when adding new replicas or recover nodes that have fallen too far behind the rest of the cluster.ДЄWS IAM Authentication that simplifies cloud-native security by reusing existing regular and temporary Amazon IAM credentials when connecting to MongoDB Atlas Mirrored Reads that pre-warm the caches of secondary replicas to reduce the impact of primary elections following an outage or after planned maintenance. Simultaneous Indexing and Streaming Replication that reduce replica lag to serve fresher data to your users. Hedged Reads minimize p95 and p99 latencies by submitting read requests to multiple replicas and returning results as soon as the quickest node responds. Refinable Shard Keys to define and refine your shard keys at any time, with no system downtime.Д¬ompound Hashed Shard Keys that more evenly distribute load across shards without losing data locality. Global Read and Write Concerns to configure cluster-wide read isolation and write durability guarantees.

Union aggregation pipeline stage to blend data from multiple collections for deeper exploration and analysis.Д¬ustom Aggregation Expressions to extend MongoDB with your own functions, executed as part of an aggregation pipeline. In this guide, we cover the key enhancements in MongoDB 4.4. All while giving you the most sophisticated latency and security controls anywhere in the cloud.

The result is a database that enables you to build transactional, operational, and analytical applications faster than any other, to scale them out globally, with the flexibility to define and refine data distribution at any time as your requirements evolve. MongoDB 4.4 delivers the features and enhancements most demanded by you.