Lesson 1Indexes, unique constraints, an schema validation wid MongooseUnderstand how fi use indexes, unique constraints, an schema validation in Mongoose. Optimize queries pon users an tasks, prevent duplicates, an enforce data integrity rules at di database an schema levels. Yuh guh learn fi create single-field an compound indexes, unique indexes fi emails an task titles, partial an sparse index use cases, Mongoose schema-level validation options, custom validators fi business rules, an monitorin index performance an size.
Creatin single-field an compound indexesUnique indexes fi emails an task titlesPartial an sparse index use casesMongoose schema-level validation optionsCustom validators fi business rulesMonitorin index performance an sizeLesson 2User schema: fields (name, email, passwordHash, createdAt, lastLogin) an constraintsDefine a strong User schema fi DevTasks, includin identity, authentication, an audit fields. Add validation, normalization, an security constraints fi ensure consistent, safe user data cross environments. Yuh guh choose required user identity fields, email format, uniqueness, an normalization, store password hashes an salt metadata, track createdAt an lastLogin timestamps, optional profile an settings fields, validation rules an helpful error messages.
Choosin required user identity fieldsEmail format, uniqueness, an normalizationStorin password hashes an salt metadataTrackin createdAt an lastLogin timestampsOptional profile an settings fieldsValidation rules an helpful error messagesLesson 3Schema methods, statics, an virtuals: password verification an task countsExplore how fi extend Mongoose schemas wid instance methods, static methods, an virtuals. Implement password verification, compute task counts per user, an expose derived fields widout storin redundant data. Yuh guh define instance methods pon user documents, implement password verification logic, create statics fi common user queries, virtuals fi computed task count per user, use getters an setters in virtual fields, test an document custom schema helpers.
Definin instance methods pon user documentsImplementin password verification logicCreatin statics fi common user queriesVirtuals fi computed task count per userUsin getters an setters in virtual fieldsTestin an documentin custom schema helpersLesson 4Migration an seed strategies fi initial data an test environmentsPlan an execute safe migrations an seedin strategies fi DevTasks. Learn how fi introduce new fields, backfill data, an create repeatable seeds fi development, testin, an stage environments. Yuh guh design idempotent seed scripts, seed users, tasks, an relationships, use environment-based seed configurations, schema migrations wid Mongoose scripts, backfillin new fields wid safe defaults, rollin back failed migrations cleanly.
Designin idempotent seed scriptsSeedin users, tasks, an relationshipsUsin environment-based seed configurationsSchema migrations wid Mongoose scriptsBackfillin new fields wid safe defaultsRollin back failed migrations cleanlyLesson 5Task schema: fields (title, description, status, createdAt, dueDate, priority, completedAt) an constraintsDesign di Task schema fi DevTasks, includin core fields, constraints, an timestamps. Model status, priority, an completion data so queries stay efficient an di task lifecycle clear represented. Yuh guh learn required fields fi a task document, modelin status, priority, an due dates, handlin completedAt an audit timestamps, validation fi title an description length, default values an enum constraints, indexin tasks by user, status, an dueDate.
Required fields fi a task documentModelin status, priority, an due datesHandlin completedAt an audit timestampsValidation fi title an description lengthDefault values an enum constraintsIndexin tasks by user, status, an dueDateLesson 6Document modelin fundamentals fi users an tasksBuild a solid foundation fi modelin users an tasks as MongoDB documents. Analyze access patterns, document boundaries, an lifecycle rules fi design schemas dat remain flexible as DevTasks evolves. Yuh guh identify entities an relationships, choose document boundaries fi tasks, model task status an lifecycle fields, handle optional an nullable properties, denormalization versus normalization tradeoffs, versionin an evolvin document schemas.
Identifyin entities an relationshipsChoosin document boundaries fi tasksModelin task status an lifecycle fieldsHandlin optional an nullable propertiesDenormalization versus normalization tradeoffsVersionin an evolvin document schemasLesson 7Designin relationships: reference vs embeddin tasks in usersLearn how fi choose between embeddin tasks inside user documents or referencein tasks in a separate collection. Compare query patterns, document size limits, write performance, an how each option affect scalability. Yuh guh review MongoDB document an collection basics, when fi embed tasks inside user documents, when fi reference tasks from users collection, handlin one-to-many an many-to-many relations, impact pon query performance an indexes, refactorin between embed an reference models.
Review MongoDB document an collection basicsWhen fi embed tasks inside user documentsWhen fi reference tasks from users collectionHandlin one-to-many an many-to-many relationsImpact pon query performance an indexesRefactorin between embed an reference models
