# Database Manual - (manual) (Part 2 of 10)

> This part of the MongoDB manual finishes core concepts like encryption and transactions, plus installation, introduction, and the MongoDB Query API.

- [Queryable Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption.md): Explore how to encrypt sensitive data fields client-side, store them encrypted server-side, and run queries without server knowledge using Queryable Encryption.
- [Choosing an In-Use Encryption Approach](https://www.mongodb.com/docs/manual/core/queryable-encryption/about-qe-csfle.md)
- [Queryable Encryption Features](https://www.mongodb.com/docs/manual/core/queryable-encryption/features.md): Explore the security benefits and mechanisms of Queryable Encryption, including its ability to encrypt data while maintaining queryability.
- [Queryable Encryption Fundamentals](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals.md): Explore the fundamentals of Queryable Encryption, including creating encryption schemas, enabling encrypted collections, and managing encryption keys.
- [Enabling Queryable Encryption when Creating Collections](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/enable-qe.md)
- [Encrypted Fields and Enabled Queries](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/encrypt-and-query.md): Define encrypted fields at the collection level. Use an encryption schema to encrypt fields, and to enable and configure queries on those fields. Affects performance and storage.
- [Encryption Keys and Key Vaults](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/keys-key-vaults.md): Learn about encryption keys, key vaults, and key management systems in MongoDB, including how to manage Data Encryption Keys and Customer Master Keys.
- [KMS Providers](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/kms-providers.md): Explore the advantages and configurations of using remote Key Management System providers for encryption in MongoDB applications.
- [Encrypted Collections](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/manage-collections.md): Understand the storage and write impact of encrypting collections in MongoDB and learn how to manage encrypted collection indexes to minimize costs.
- [Rotate and Rewrap Encryption Keys](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/manage-keys.md): Learn how to manage and rotate encryption keys using a Key Management System for Queryable Encryption in MongoDB.
- [Queryable Encryption with Explicit Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/fundamentals/manual-encryption.md): Use ClientEncryption and specify encryption algorithms and parameters to explicitly encrypt fields in your application, and to read from or write to those fields while maintaining encryption.
- [Install and Configure a Query Analysis Component](https://www.mongodb.com/docs/manual/core/queryable-encryption/install-library.md)
- [Install a Queryable Encryption Compatible Driver and Dependencies](https://www.mongodb.com/docs/manual/core/queryable-encryption/install.md): Install a compatible driver and dependencies to enable Queryable Encryption in your development environment.
- [Overview: Enable Queryable Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/overview-enable-qe.md)
- [Overview: Use Queryable Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/overview-use-qe.md)
- [Create your Queryable Encryption Enabled Application](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-create-application.md)
- [Create a Customer Master Key](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-create-cmk.md)
- [Create an Encrypted Collection and Insert Documents](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-create-encrypted-collection.md)
- [Create an Encryption Schema](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-create-encryption-schema.md): Create an encryption schema to define which fields are encrypted and which query types are allowed on those fields.
- [Estimate Queryable Encryption Storage Impact](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-estimate-storage-impact.md): Estimate the storage and write amplification impact of your Queryable Encryption configuration before finalizing your encryption schema.
- [Query a Document with Encrypted Fields](https://www.mongodb.com/docs/manual/core/queryable-encryption/qe-retrieve-encrypted-document.md)
- [Queryable Encryption Quick Start](https://www.mongodb.com/docs/manual/core/queryable-encryption/quick-start.md): Learn how to build a sample application that uses MongoDB Queryable Encryption to automatically encrypt and decrypt sensitive document fields, such as SSN and billing information.
- [Queryable Encryption Reference](https://www.mongodb.com/docs/manual/core/queryable-encryption/reference.md): Explore components of Queryable Encryption, including supported operations and MongoClient options.
- [Compatibility](https://www.mongodb.com/docs/manual/core/queryable-encryption/reference/compatibility.md): Determine compatibility of MongoDB editions and drivers with Queryable Encryption and Client-Side Field Level Encryption features.
- [Queryable Encryption Limitations](https://www.mongodb.com/docs/manual/core/queryable-encryption/reference/limitations.md): Understand the limitations and restrictions of enabling Queryable Encryption, including unsupported operations and security considerations.
- [MongoClient Options for Queryable Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/reference/qe-options-clients.md): Explore configuration options for `MongoClient` instances to enable Queryable Encryption, including automatic encryption settings and key management.
- [Supported Operations for Queryable Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/reference/supported-operations.md): Explore supported operations for Queryable Encryption, including data types, commands, and query operators compatible with automatic encryption.
- [Queryable Encryption Tutorials](https://www.mongodb.com/docs/manual/core/queryable-encryption/tutorials.md): Explore tutorials on using Queryable Encryption with various Key Management Systems, featuring sample applications in multiple programming languages.
- [Use Explicit Encryption](https://www.mongodb.com/docs/manual/core/queryable-encryption/tutorials/explicit-encryption.md): Use explicit encryption to encrypt and decrypt document fields with MongoDB drivers, including creating the customer master key, data encryption keys, and the encrypted collection.
- [Ranged Sharding](https://www.mongodb.com/docs/manual/core/ranged-sharding.md): Implement range-based sharding by dividing data into contiguous ranges using shard key values for efficient queries.
- [Read Isolation, Consistency, and Recency](https://www.mongodb.com/docs/manual/core/read-isolation-consistency-recency.md): Explore MongoDB's read isolation, consistency, and recency, including isolation guarantees, causal consistency, and limitations of causally consistent sessions.
- [Hedged Read Option](https://www.mongodb.com/docs/manual/core/read-preference-hedge-option.md): Specify hedged reads for non-primary read preferences in sharded clusters, noting their deprecation starting in MongoDB 8.0.
- [Server Selection Algorithm](https://www.mongodb.com/docs/manual/core/read-preference-mechanics.md): Explore how MongoDB drivers use server selection algorithms to choose replica set members or `mongos` instances based on read preferences and latency.
- [Read Preference ``maxStalenessSeconds``](https://www.mongodb.com/docs/manual/core/read-preference-staleness.md): Specify `maxStalenessSeconds` to limit replication lag for reads from secondaries, ensuring they don't fall too far behind the primary's writes.
- [Read Preference Tag Set Lists](https://www.mongodb.com/docs/manual/core/read-preference-tags.md): Specify a tag set list in read preferences to target replica set members with specific tags, enhancing read operations based on tag matching.
- [Read Preference Use Cases](https://www.mongodb.com/docs/manual/core/read-preference-use-cases.md): Explore common use cases and considerations for different MongoDB read preference modes, including when to use non-primary modes for operations and availability.
- [Read Preference](https://www.mongodb.com/docs/manual/core/read-preference.md): Read preference describes how MongoDB clients route read operations to the members of a replica set.
- [Replica Set Arbiter](https://www.mongodb.com/docs/manual/core/replica-set-arbiter.md): Understand the role of an arbiter in a replica set, including its participation in elections and limitations in data operations.
- [Replica Sets Distributed Across Two or More Data Centers](https://www.mongodb.com/docs/manual/core/replica-set-architecture-geographically-distributed.md): Distribute replica set members across multiple data centers to enhance redundancy and fault tolerance against data center failures.
- [Three Member Replica Sets](https://www.mongodb.com/docs/manual/core/replica-set-architecture-three-members.md): Explore the benefits and configurations of three-member replica sets, including setups with two secondaries or an arbiter for redundancy and high availability.
- [Replica Set Deployment Architectures](https://www.mongodb.com/docs/manual/core/replica-set-architectures.md): Explore strategies and common architectures for deploying replica sets, including considerations for member count, fault tolerance, and geographic distribution.
- [Delayed Replica Set Members](https://www.mongodb.com/docs/manual/core/replica-set-delayed-member.md): Understand how delayed replica set members provide a rolling backup by maintaining a historical snapshot of data, useful for recovering from errors.
- [Replica Set Elections](https://www.mongodb.com/docs/manual/core/replica-set-elections.md): Understand how replica set elections determine the primary node in response to events like node addition, maintenance, or connectivity loss.
- [Hidden Replica Set Members](https://www.mongodb.com/docs/manual/core/replica-set-hidden-member.md): Understand the role and behavior of hidden replica set members, which maintain data copies without being visible to client applications.
- [Replica Set High Availability](https://www.mongodb.com/docs/manual/core/replica-set-high-availability.md): Understand how replica sets use elections to maintain high availability and manage rollbacks during failovers.
- [Replica Set Members](https://www.mongodb.com/docs/manual/core/replica-set-members.md): Understand the roles and configurations of primary, secondary, and arbiter members in a MongoDB replica set for redundancy and high availability.
- [Replica Set Oplog](https://www.mongodb.com/docs/manual/core/replica-set-oplog.md): Understand the role and management of the oplog in MongoDB replica sets, including its size, retention, and application behavior.
- [Replica Set Primary](https://www.mongodb.com/docs/manual/core/replica-set-primary.md): Understand the role of the primary in a replica set, handling write operations and elections for primary selection.
- [Priority 0 Replica Set Members](https://www.mongodb.com/docs/manual/core/replica-set-priority-0-member.md): Configure a priority 0 replica set member to prevent it from becoming primary, useful for high-latency or standby scenarios.
- [Rollbacks During Replica Set Failover](https://www.mongodb.com/docs/manual/core/replica-set-rollbacks.md): Revert write operations on a former primary during replica set failover to maintain database consistency.
- [Replica Set Secondary Members](https://www.mongodb.com/docs/manual/core/replica-set-secondary.md): Understand how secondary members in a replica set maintain data copies and can become primary during failover.
- [Replica Set Data Synchronization](https://www.mongodb.com/docs/manual/core/replica-set-sync.md): Understand how secondary members in a replica set synchronize data from a source member using initial sync and ongoing replication processes.
- [Write Concern for Replica Sets](https://www.mongodb.com/docs/manual/core/replica-set-write-concern.md): Configure write concern for replica sets to ensure data durability and manage latency by specifying the number of members that must acknowledge a write.
- [Reshard to the Same Shard Key](https://www.mongodb.com/docs/manual/core/reshard-to-same-key.md): Reshard to the Same Shard Key to Shard a Collection, Add or Remove Shards Concept
- [Retryable Reads](https://www.mongodb.com/docs/manual/core/retryable-reads.md): Enable retryable reads in MongoDB drivers to automatically retry certain read operations once upon encountering network or server errors.
- [Retryable Writes](https://www.mongodb.com/docs/manual/core/retryable-writes.md): Enable automatic retries for specific write operations in MongoDB. Handle persistent network errors and replica set issues with retryable writes.
- [Rolling Index Builds](https://www.mongodb.com/docs/manual/core/rolling-index-builds.md)
- [Schema Validation](https://www.mongodb.com/docs/manual/core/schema-validation.md): Use schema validation to prevent unintended schema changes and data type errors. Specify validation rules for fields, including data types, value ranges, and required fields.
- [Bypass Schema Validation](https://www.mongodb.com/docs/manual/core/schema-validation/bypass-document-validation.md): Bypass schema validation rules for specific operations, allowing insertion of documents that don't meet current validation criteria.
- [Choose How to Handle Invalid Documents](https://www.mongodb.com/docs/manual/core/schema-validation/handle-invalid-documents.md): Specify how MongoDB handles documents violating validation rules, either rejecting them or logging the violations.
- [Specify JSON Schema Validation](https://www.mongodb.com/docs/manual/core/schema-validation/specify-json-schema.md): Use JSON Schema to specify validation rules for collection fields in a human-readable format. Define required fields, data types, and field value ranges.
- [Tips for JSON Schema Validation](https://www.mongodb.com/docs/manual/core/schema-validation/specify-json-schema/json-schema-tips.md)
- [Specify Allowed Field Values](https://www.mongodb.com/docs/manual/core/schema-validation/specify-json-schema/specify-allowed-field-values.md)
- [Specify Validation With Query Operators](https://www.mongodb.com/docs/manual/core/schema-validation/specify-query-expression-rules.md): Specify validation rules using query operators to ensure field values are correctly proportional, with examples of creating and validating collections.
- [Specify Validation Level for Existing Documents](https://www.mongodb.com/docs/manual/core/schema-validation/specify-validation-level.md): Specify how MongoDB applies validation rules to existing documents using the strict, moderate, and constraint validation levels.
- [Specify Validation for Polymorphic Collections](https://www.mongodb.com/docs/manual/core/schema-validation/specify-validation-polymorphic-collections.md): Specify schema validation on a polymorphic collection, or a collection with multiple schemas.
- [Modify Schema Validation](https://www.mongodb.com/docs/manual/core/schema-validation/update-schema-validation.md): Modify schema validation rules in MongoDB collections using the `collMod` command to update validation criteria like field requirements and lengths.
- [Query for and Modify Valid or Invalid Documents](https://www.mongodb.com/docs/manual/core/schema-validation/use-json-schema-query-conditions.md)
- [View Existing Validation Rules](https://www.mongodb.com/docs/manual/core/schema-validation/view-existing-validation-rules.md): View validation rules for a collection using db.getCollectionInfos() or listCollections to understand document restrictions and handling of invalid documents.
- [Encryption](https://www.mongodb.com/docs/manual/core/security-data-encryption.md): Explore MongoDB's encryption methods, including in-use encryption, encryption at rest, and TLS/SSL for secure data handling.
- [Encryption at Rest](https://www.mongodb.com/docs/manual/core/security-encryption-at-rest.md): Ensure compliance with security standards by using encryption at rest in MongoDB Enterprise, including key management and storage engine options.
- [Self-Managed Network and Configuration Hardening](https://www.mongodb.com/docs/manual/core/security-hardening.md): Harden your MongoDB deployment by securing network access, configuring firewalls, using VPNs, and disabling IP forwarding to reduce risk exposure.
- [In-Use Encryption](https://www.mongodb.com/docs/manual/core/security-in-use-encryption.md): Explore MongoDB's in-use encryption options, including Queryable Encryption and Client-Side Field Level Encryption, and their key management strategies.
- [Self-Managed Internal/Membership Authentication](https://www.mongodb.com/docs/manual/core/security-internal-authentication.md): Enable internal authentication for replica sets and sharded clusters using keyfiles or X.509 certificates for secure communication.
- [LDAP Authorization on Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/security-ldap-external.md): Configure LDAP authorization for MongoDB deployments, mapping LDAP group DNs to roles for user access control.
- [Self-Managed LDAP Proxy Authentication](https://www.mongodb.com/docs/manual/core/security-ldap.md): Configure LDAP authentication for MongoDB Enterprise using operating system libraries or `saslauthd` for secure user authentication.
- [IP Binding in Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/security-mongodb-configuration.md): Configure IP binding for `mongod` and `mongos` to ensure secure access on trusted networks, using options like `net.bindIpAll` for broader address binding.
- [SCRAM](https://www.mongodb.com/docs/manual/core/security-scram.md): Explore SCRAM, the default authentication mechanism in MongoDB, offering secure password verification and supporting SHA-1 and SHA-256 hashing functions.
- [TLS/SSL (Transport Encryption)](https://www.mongodb.com/docs/manual/core/security-transport-encryption.md): Secure MongoDB network traffic with TLS/SSL, supporting strong ciphers and forward secrecy, and manage certificates for encryption and identity verification.
- [User-Defined Roles on Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/security-user-defined-roles.md): Create custom user-defined roles in MongoDB when built-in roles don't meet your privilege requirements, using the `db.createRole()` method.
- [Users in Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/security-users.md): Manage users in self-managed MongoDB deployments by creating, updating, and assigning roles, with special considerations for LDAP and sharded clusters.
- [x.509](https://www.mongodb.com/docs/manual/core/security-x.509.md): Authenticate MongoDB clients and cluster members using X.509 certificates, requiring TLS/SSL connections and specific certificate attributes.
- [Self-Managed Security](https://www.mongodb.com/docs/manual/core/self-managed-security.md): Learn about securing self-managed MongoDB document database deployments.
- [Server-side JavaScript](https://www.mongodb.com/docs/manual/core/server-side-javascript.md): Explore server-side JavaScript functions in MongoDB, including how to enable or disable execution and which commands, methods, and operators run server-side code.
- [Sharded Cluster Components](https://www.mongodb.com/docs/manual/core/sharded-cluster-components.md): Explore components of a MongoDB sharded cluster, including shards, `mongos` routers, and config servers. Learn about production and development configurations.
- [Config Servers](https://www.mongodb.com/docs/manual/core/sharded-cluster-config-servers.md): Understand the role of config servers in a sharded cluster, including storing metadata, managing distributed locks, and transitioning to config shards.
- [Routing with mongos](https://www.mongodb.com/docs/manual/core/sharded-cluster-query-router.md): Route queries and write operations to shards in a sharded cluster using `mongos`, which caches metadata from config servers and has no persistent state.
- [Operational Restrictions in Sharded Clusters](https://www.mongodb.com/docs/manual/core/sharded-cluster-requirements.md): Understand operational restrictions in sharded clusters, including limitations on certain operations and index consistency requirements.
- [Shards](https://www.mongodb.com/docs/manual/core/sharded-cluster-shards.md): Understand the role of shards in a sharded cluster, including primary shard selection, shard status, and security measures.
- [Sharded Cluster Balancer](https://www.mongodb.com/docs/manual/core/sharding-balancer-administration.md): Understand how the MongoDB balancer manages data distribution across shards, including migration thresholds, range migration procedures, and performance tuning.
- [Change a Shard Key](https://www.mongodb.com/docs/manual/core/sharding-change-a-shard-key.md): Learn how to change a shard key in MongoDB to improve data distribution and query performance by resharding or refining the shard key.
- [Change a Document's Shard Key Value](https://www.mongodb.com/docs/manual/core/sharding-change-shard-key-value.md): Update a document's shard key value using specific commands, ensuring operations are performed on `mongos` and include the full shard key in the query filter.
- [Choose a Shard Key](https://www.mongodb.com/docs/manual/core/sharding-choose-a-shard-key.md): Choose a shard key that optimizes data distribution and query efficiency in a sharded cluster, considering cardinality, frequency, and monotonicity.
- [Consolidate Collection Data](https://www.mongodb.com/docs/manual/core/sharding-consolidate-collection-data.md)
- [Data Partitioning with Chunks](https://www.mongodb.com/docs/manual/core/sharding-data-partitioning.md): Partition data into chunks using shard keys in MongoDB, manage chunk distribution with the balancer, and address jumbo chunks with shard key refinement.
- [Distribute Collection Data](https://www.mongodb.com/docs/manual/core/sharding-distribute-collection-data.md)
- [Display a Shard Key](https://www.mongodb.com/docs/manual/core/sharding-find-shard-key.md): Discover how to find the shard key for a sharded collection by using the `db.printShardingStatus()` method on a `mongos` instance.
- [Manage Unsharded Collections](https://www.mongodb.com/docs/manual/core/sharding-manage-unsharded-collections.md)
- [Refine a Shard Key](https://www.mongodb.com/docs/manual/core/sharding-refine-a-shard-key.md): Refine a shard key to improve data distribution by adding suffix fields, avoiding changes to existing key types to prevent inconsistencies.
- [Reshard a Collection](https://www.mongodb.com/docs/manual/core/sharding-reshard-a-collection.md): Reshard a MongoDB sharded collection to change its shard key or redistribute data across shards, improving data distribution, query performance, and cluster balance.
- [Scaling Strategies](https://www.mongodb.com/docs/manual/core/sharding-scaling-strategies.md)
- [Set Missing Shard Key Fields](https://www.mongodb.com/docs/manual/core/sharding-set-missing-shard-key-fields.md): Set missing shard key fields to `null` using various MongoDB update methods, ensuring specific query conditions are met.
- [Shard Key Indexes](https://www.mongodb.com/docs/manual/core/sharding-shard-key-indexes.md): Details on indexes that support shard keys in a sharded MongoDB collection and how to create unique indexes.
- [Shard Keys](https://www.mongodb.com/docs/manual/core/sharding-shard-key.md): Understand how shard keys determine document distribution in MongoDB clusters and the importance of shard key indexes for sharded collections.
- [Start with Sharded Clusters](https://www.mongodb.com/docs/manual/core/sharding-start-with-sharding.md)
- [Troubleshoot Shard Keys](https://www.mongodb.com/docs/manual/core/sharding-troubleshooting-shard-keys.md): Identify and resolve common shard key issues like jumbo chunks, uneven load distribution, and decreased query performance in MongoDB clusters.
- [Storage Engines for Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/storage-engines.md): Explore different storage engines in MongoDB, including WiredTiger and In-Memory, to optimize data management for specific workloads.
- [Tailable Cursors](https://www.mongodb.com/docs/manual/core/tailable-cursors.md): Explore how tailable cursors in MongoDB allow continuous retrieval of documents from capped collections, similar to the Unix `tail -f` command.
- [$text Query Operators](https://www.mongodb.com/docs/manual/core/text-search-operators.md): Run $text queries and sort results by relevance with the $meta operator.
- [$text Queries](https://www.mongodb.com/docs/manual/core/text-search/on-prem.md): Explore capabilities for $text queries using text indexes to query string content.
- [Time Series](https://www.mongodb.com/docs/manual/core/timeseries-collections.md): Improve query efficiency and reduce disk usage for time series data and secondary indexes by storing time series data in time series collections.
- [Aggregation and Operator Considerations](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-aggregations-operators.md)
- [Set up Automatic Removal for Time Series Collections (TTL)](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-automatic-removal.md): Set up automatic removal of documents in time series collections using the `expireAfterSeconds` parameter to manage data retention.
- [Best Practices for Time Series Collections](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-best-practices.md): Optimize performance and data usage for time series collections by following best practices for compression, inserts, sharding, and queries.
- [About Time Series Data](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-bucketing.md)
- [Build Materialized Views on Top of Time Series Data](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-build-materialized-views.md): Create materialized views on time series data using the `$merge` aggregation pipeline stage for archiving, analytics, and controlled data access.
- [List Time Series Collections in a Database](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-check-type.md): List all time series collections in a database using the `listCollections` command with a filter for `{ type: "timeseries" }`.
- [Time Series Compression](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-compression.md): Discover how MongoDB uses zstd and column compression to optimize data storage in time series collections.
- [Time Series Collections Considerations](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-considerations.md)
- [Create and Configure Time Series Collections](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-create-configure.md): Create and configure time series collections in MongoDB. Learn procedures, granularity settings, and data migration for IoT and time-stamped data workloads.
- [Set Granularity for Time Series Data](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-granularity.md): Set granularity for time series data in MongoDB to control data bucketing frequency, using custom parameters for precise bucket boundaries.
- [Time Series Indexes](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-index.md): Index time series collections in MongoDB. Learn about secondary indexes, special considerations, limitations, and best practices for time-stamped data.
- [Time Series Collection Limitations](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-limitations.md): Explore the limitations of time series collections in MongoDB, including unsupported features, aggregation restrictions, and sharding constraints.
- [Migrate Data into a Time Series Collection](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-migrate-data-into-timeseries-collection.md): Migrate data into a time series collection using aggregation pipelines, database tools, or relational migrator for improved performance and storage.
- [Migrate Data into a Time Series Collection with Aggregation](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-migrate-with-aggregation.md): Migrate data into a time series collection using aggregation pipelines with the $out stage for improved performance and storage.
- [Migrate Data to Time Series Collection with Database Tools](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-migrate-with-tools.md)
- [Create and Query a Time Series Collection](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-procedures.md): Learn how to create and query a time series collection in MongoDB, including setting fields, inserting data, and running aggregation pipelines.
- [About Querying Time Series Data](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-querying.md)
- [Time Series Quick Start](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-quick-start.md): Quick start for creating a time series collection with self-managed MongoDB or Atlas
- [Add Secondary Indexes to Time Series Collections](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-secondary-index.md): Improve query performance for time series collections by adding secondary indexes, including compound indexes on `metaField` and `timeField`.
- [Shard a Time Series Collection](https://www.mongodb.com/docs/manual/core/timeseries/timeseries-shard-collection.md): Learn how to shard new or existing time series collections in MongoDB, including prerequisites and step-by-step procedures.
- [Obtain TLS Server Certificates](https://www.mongodb.com/docs/manual/core/tls/certificate-tutorial.md): Obtain TLS server certificates from a public or private certificate authority to enable encrypted connections for each node in your MongoDB replica set deployment.
- [Connect to a TLS-Enabled Replica Set](https://www.mongodb.com/docs/manual/core/tls/configure-client-tls-tutorial.md): Connect mongosh to a TLS-enabled self-managed MongoDB replica set by presenting a client certificate or without one, depending on your server configuration.
- [Configure TLS on Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/tls/configure-server-tls-tutorial.md): Configure a three-node self-managed MongoDB replica set to use TLS for network encryption, with or without intra-cluster mutual TLS certificate validation.
- [Plan Your TLS Configuration for Self-Managed Deployments](https://www.mongodb.com/docs/manual/core/tls/plan-tls-deployment.md): Plan your TLS configuration for a self-managed MongoDB replica set. Learn deployment configurations, certificate types, and key terms to guide your TLS setup.
- [Handle Transactions in Applications with the Drivers API](https://www.mongodb.com/docs/manual/core/transactions-in-applications.md): Explore how to handle transaction errors in applications using MongoDB drivers, including retry logic for transient and unknown commit errors, with the Callback and Core APIs.
- [Transactions and Operations](https://www.mongodb.com/docs/manual/core/transactions-operations.md): Explore operations supported in MongoDB transactions, including CRUD operations, restrictions, and how to create collections and indexes within transactions.
- [Production Considerations](https://www.mongodb.com/docs/manual/core/transactions-production-consideration.md): Consider transaction availability, feature compatibility, runtime limits, and oplog size when running transactions on replica sets or sharded clusters.
- [Production Considerations (Sharded Clusters)](https://www.mongodb.com/docs/manual/core/transactions-sharded-clusters.md): Understand the considerations for running multi-document transactions on sharded clusters, including performance, read and write concerns, and chunk migrations.
- [Transactions](https://www.mongodb.com/docs/manual/core/transactions.md): Use distributed transactions across multiple collections, databases, and documents for situations requiring atomicity of reads/writes to multiple documents.
- [Unsharded Collections](https://www.mongodb.com/docs/manual/core/unsharded-collections.md)
- [Views](https://www.mongodb.com/docs/manual/core/views.md): Views are read-only queryable objects defined by an aggregation pipeline. Use views to restrict data access and perform database queries like collection joins.
- [Create and Query a View](https://www.mongodb.com/docs/manual/core/views/create-view.md): Create and query views in MongoDB using `db.createCollection()` or `db.createView()` with examples and restrictions.
- [Use a View to Join Two Collections](https://www.mongodb.com/docs/manual/core/views/join-collections-with-view.md): Use $lookup to create a view over two collections and then run queries against the view without having to construct or maintain complex pipelines.
- [Create a View with Default Collation](https://www.mongodb.com/docs/manual/core/views/specify-collation.md): Specify default collation for views to apply language-specific string comparison rules, affecting operations like counting documents.
- [Supported Operations for Views](https://www.mongodb.com/docs/manual/core/views/supported-operations.md): Explore operations supported for views, including database commands and `mongosh` methods like `find`, `count`, and `aggregate`.
- [Modify or Remove a View](https://www.mongodb.com/docs/manual/core/views/update-view.md): Modify a view in MongoDB by either dropping and recreating it or using the `collMod` command.
- [WiredTiger Storage Engine](https://www.mongodb.com/docs/manual/core/wiredtiger.md): Learn how WiredTiger, MongoDB's default storage engine, handles document-level concurrency, MVCC snapshots, journaling, compression, and memory management.
- [Workload Isolation in MongoDB Deployments](https://www.mongodb.com/docs/manual/core/workload-isolation.md): Explore how to isolate workloads in MongoDB deployments using features like read preferences, write concerns, replica set tags, and zones in sharded clusters.
- [Atomicity and Transactions](https://www.mongodb.com/docs/manual/core/write-operations-atomicity.md): Understand atomicity in MongoDB write operations. Manage concurrent updates with transactions and unique indexes.
- [Write Operation Performance](https://www.mongodb.com/docs/manual/core/write-performance.md): Optimize write performance by managing indexes and understanding the impact of journaling on MongoDB's write operations.
- [Zones](https://www.mongodb.com/docs/manual/core/zone-sharding.md): Create zones in sharded clusters to manage data distribution based on shard keys, ensuring efficient data routing and balancing across shards.
- [MongoDB CRUD Operations](https://www.mongodb.com/docs/manual/crud.md): Manage documents in collections by running create, read, update, and delete operations.
- [Data Center Awareness](https://www.mongodb.com/docs/manual/data-center-awareness.md): Customize MongoDB deployments for data center awareness and workload isolation using zones and operational separation.
- [Data Modeling in MongoDB](https://www.mongodb.com/docs/manual/data-modeling.md): Explore data modeling in MongoDB, focusing on flexible schema design, use cases, and advantages over relational database schemas.
- [Best Practices for Data Modeling in MongoDB](https://www.mongodb.com/docs/manual/data-modeling/best-practices.md): Optimize MongoDB data models by considering atomicity, sharding, indexes, and storage strategies for efficient performance and data lifecycle management.
- [Data Consistency](https://www.mongodb.com/docs/manual/data-modeling/data-consistency.md): Explore methods to enforce data consistency in MongoDB, including transactions, embedded data, and Atlas Database Triggers, based on application needs.
- [Schema Design Anti-Patterns](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns.md)
- [Bloated Documents](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns/bloated-documents.md)
- [Reduce the Number of Collections](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns/reduce-collections.md)
- [Reduce $lookup Operations](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns/reduce-lookup-operations.md)
- [Avoid Unbounded Arrays](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns/unbounded-arrays.md)
- [Remove Unnecessary Indexes](https://www.mongodb.com/docs/manual/data-modeling/design-antipatterns/unnecessary-indexes.md)
- [Schema Design Patterns](https://www.mongodb.com/docs/manual/data-modeling/design-patterns.md): Optimize your data model with schema design patterns to enhance query performance and manage schema changes effectively.
- [Archive Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/archive.md)
- [Use the Approximation Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/computed-values/approximation-schema-pattern.md)
- [Store Computed Data](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/computed-values/computed-schema-pattern.md)
- [Document and Schema Versioning](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/data-versioning.md): Explore document and schema versioning patterns to manage schema changes without downtime or performance-intensive migrations.
- [Keep a History of Document Versions](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/data-versioning/document-versioning.md): Implement the Document Versioning Pattern to retain historical versions of documents in a separate collection for applications requiring data history.
- [Maintain Different Schema Versions](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/data-versioning/schema-versioning.md): Implement the Schema Versioning Pattern to manage different schema versions within a single MongoDB collection, avoiding large-scale migrations.
- [Slowly Changing Dimensions](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/data-versioning/slowly-changing-dimensions.md): Implement the Slowly Changing Dimensions framework to track and query changes and different versions of fields in your documents over time.
- [Group Data](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/group-data.md): Improve performance by grouping large data series into smaller ones using bucket and outlier patterns for better organization and handling of outliers.
- [Group Data with the Attribute Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/group-data/attribute-pattern.md): Discover how the Attribute Pattern in MongoDB optimizes data modeling for flexible and scalable applications, enhancing your database design strategy.
- [Group Data with the Bucket Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/group-data/bucket-pattern.md): Improve query access and simplify application logic by using the bucket pattern to group similar data into distinct objects, ideal for time series data.
- [Group Data with the Outlier Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/group-data/outlier-pattern.md): Improve query performance by isolating outlier documents with the outlier pattern, storing excess data in a separate collection.
- [Group Data with the Subset Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/group-data/subset-pattern.md): Improve query access by using the subset pattern to group highly accessed data into one collection and less frequently accessed data into another collection.
- [Handle Computed Values](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/handle-computed-values.md)
- [Polymorphic Data](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/polymorphic-data.md)
- [Use the Inheritance Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/polymorphic-data/inheritance-schema-pattern.md)
- [Store Polymorphic Data](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/polymorphic-data/polymorphic-schema-pattern.md)
- [Single Collection Pattern](https://www.mongodb.com/docs/manual/data-modeling/design-patterns/single-collection.md)
- [Embedded Data in Your MongoDB Schema](https://www.mongodb.com/docs/manual/data-modeling/embedding.md): Decide if embedding data in your MongoDB schema design will optimize application performance and data retrieval.
- [Enforce Data Consistency with Embedding](https://www.mongodb.com/docs/manual/data-modeling/enforce-consistency/embed-data.md): Embed related data in a single collection to enforce consistency and simplify schema, ensuring users read the most current data without duplication.
- [Enforce Data Consistency with Transactions](https://www.mongodb.com/docs/manual/data-modeling/enforce-consistency/transactions.md): Use transactions to ensure data consistency across collections with duplicated data, updating multiple collections atomically in MongoDB.
- [Handle Duplicate Data](https://www.mongodb.com/docs/manual/data-modeling/handle-duplicate-data.md): Optimize data access by duplicating related data across collections, improving query performance while considering update frequency and storage costs.
- [Reference Data in Your MongoDB Schema](https://www.mongodb.com/docs/manual/data-modeling/referencing.md): Decide if using references in your MongoDB schema design will optimize application performance and data retrieval.
- [Designing Your Schema](https://www.mongodb.com/docs/manual/data-modeling/schema-design-process.md): Optimize your application's performance by following a schema design process that includes identifying workloads, mapping relationships, and creating indexes.
- [Apply Design Patterns](https://www.mongodb.com/docs/manual/data-modeling/schema-design-process/apply-patterns.md): Optimize your data model using schema design patterns to enhance application performance and reduce complexity.
- [Create Indexes to Support Your Queries](https://www.mongodb.com/docs/manual/data-modeling/schema-design-process/create-indexes.md)
- [Identify Application Workload](https://www.mongodb.com/docs/manual/data-modeling/schema-design-process/identify-workload.md): Identify your application's frequent operations to optimize schema design and indexing for efficient database interactions.
- [Map Schema Relationships](https://www.mongodb.com/docs/manual/data-modeling/schema-design-process/map-relationships.md): Map schema relationships by embedding related data or using references to optimize application performance and scalability.
- [FAQ: Concurrency](https://www.mongodb.com/docs/manual/faq/concurrency.md): Explore how MongoDB uses locking and concurrency control to ensure data consistency during read and write operations.
- [FAQ: Self-Managed MongoDB Diagnostics](https://www.mongodb.com/docs/manual/faq/diagnostics.md): Find answers to common diagnostic questions and issues for self-managed MongoDB deployments, including TCP settings and WiredTiger memory diagnostics.
- [FAQ: MongoDB Fundamentals](https://www.mongodb.com/docs/manual/faq/fundamentals.md): Explore answers to common questions about MongoDB fundamentals, including platform support, collection schema, transactions, and caching.
- [FAQ: Indexes](https://www.mongodb.com/docs/manual/faq/indexes.md): Explore common questions about MongoDB indexes, including creation, performance impact, monitoring, and strategies for optimizing index usage.
- [FAQ: Replication and Replica Sets](https://www.mongodb.com/docs/manual/faq/replica-sets.md): Discover answers to common questions about MongoDB replication, including replica set configurations and journaling benefits.
- [FAQ: Sharding with MongoDB](https://www.mongodb.com/docs/manual/faq/sharding.md): Explore common questions about sharding in MongoDB, including shard key selection, data distribution, and `mongos` connection management.
- [FAQ: MongoDB Storage for Self-Managed Deployments](https://www.mongodb.com/docs/manual/faq/storage.md): Explore common questions about MongoDB's storage system, including storage engine fundamentals, recommendations, and diagnostics for self-managed deployments.
- [Geospatial Queries](https://www.mongodb.com/docs/manual/geospatial-queries.md): How to query geospatial data such as geoJSON objects and legacy coordinate pairs.
- [What is MongoDB?](https://www.mongodb.com/docs/manual/index.md): Learn how to use the MongoDB document database to build modern applications with flexible schemas, a powerful query language, and full-text search support.
- [Indexes](https://www.mongodb.com/docs/manual/indexes.md): Create and manage indexes on collections to improve query performance.
- [Install MongoDB Community and Enterprise Editions](https://www.mongodb.com/docs/manual/installation.md): Install MongoDB Community and Enterprise Editions on Linux, macOS, and Windows. The links on this page have additional installation information and resources.
- [Introduction to MongoDB](https://www.mongodb.com/docs/manual/introduction.md): MongoDB is a document database designed for ease of development and scaling. Learn about the MongoDB data model, along with MongoDB's high performance.
- [Legacy Opcodes](https://www.mongodb.com/docs/manual/legacy-opcodes.md): Explore legacy opcodes including OP_DELETE, OP_GET_MORE, OP_INSERT, OP_KILL_CURSORS, OP_QUERY, OP_REPLY, and OP_UPDATE, which are deprecated or unsupported.
- [Natural Language to MongoDB Queries](https://www.mongodb.com/docs/manual/natural-language-to-mongodb.md): Use a large language model (LLM) to generate MongoDB queries from natural language. Learn prompting best practices, model selection, and prompt templates for MQL.
- [MongoDB Query API](https://www.mongodb.com/docs/manual/query-api.md): Explore data using MongoDB's Query API, which supports CRUD operations, aggregation pipelines, and various query types like geospatial and full-text search.