Snapshot
A snapshot is a fixed representation or copy of data or system state as it existed at a particular point in time.
Architecting an Apache Iceberg Lakehouse
A consistent versioned representation of a table's state, including the data files that constitute that state.
- How it is used
- Provides versioned table states for reliable ingestion, historical analysis, incident recovery, auditing, and maintenance decisions.
- How deep it goes
- Explains snapshot creation, file references, lineage, summaries, rollback, and timestamp caveats without descending into full metadata specification.
- Examples
- Uses historical queries, snapshot metadata SQL, commit summaries, manifest inspection, and file-size checks to illustrate analysis and maintenance.
- What you can do after
- Diagnose data changes, query prior states, correlate table versions with jobs, and recover logically by rolling back to a known snapshot.
Read how Architecting an Apache Iceberg Lakehouse explains snapshot →
PostgreSQL Mistakes and How to Avoid Them
A filesystem snapshot is a point-in-time representation of files and filesystem state that can be restored later.
- How it is used
- Contrasts filesystem snapshots with PostgreSQL-aware backups when planning reliable recovery.
- How deep it goes
- Explains atomic capture, WAL synchronization, crash recovery, and safe restore procedure without detailing storage implementation internals.
- Examples
- Uses RAID, a standby server, disk restoration, and pg_statviz timestamped statistics snapshots as concrete cases.
- What you can do after
- Operate/configure it safely by quiescing or stopping PostgreSQL before capture and never restoring over a running data directory.
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWS
A data snapshot is a point-in-time copy of stored data that can be used to restore an earlier state.
- How it is used
- Protects EFS filesystems, RDS databases, and DynamoDB tables against accidental deletion or corruption.
- How deep it goes
- Shows backup configuration, manual creation, restoration, cross-region copying, and cleanup; does not explain snapshot storage internals.
- Examples
- Uses WordPress database upgrades and deleted posts, an EFS backup plan, and DynamoDB table corruption as recovery scenarios.
- What you can do after
- Operate/configure it with AWS Backup and AWS CLI commands to create snapshots, restore data, and copy RDS snapshots between regions.
Read how Amazon Web Services in Action, Third Edition: An in-depth guide to AWS explains snapshot →
API Design Patterns
A snapshot is a point-in-time view of stored data that preserves the data state as of a particular instant.
- How it is used
- Preserves consistent data during copy and export operations that read resources while concurrent changes may occur.
- How deep it goes
- Explains timestamps, revision identifiers, transactions, locking, and best-effort alternatives, but does not specify storage implementation details.
- Examples
- Uses a changing export collection containing resources A, B, C, and D to contrast consistent snapshots with smeared results.
- What you can do after
- Evaluate whether an operation needs a snapshot, transaction, write lock, or explicitly best-effort consistency.
Elasticsearch in Action, Second Edition
A snapshot is a point-in-time backup of Elasticsearch index data and cluster state that can be restored later.
- How it is used
- Protects production indexes and cluster configuration through durable, repeatable backup and restore operations.
- How deep it goes
- Explains repository registration, full or selective creation, incremental backups, restoration, metadata, and deletion through REST and Kibana.
- Examples
- Uses production snapshot names, movie and review index patterns, excluded old indexes, incident metadata, and HTTP deletion.
- What you can do after
- Operate/configure Elasticsearch backups by registering repositories, creating targeted snapshots, restoring data, and deleting snapshots.
Read how Elasticsearch in Action, Second Edition explains snapshot →
MongoDB 8.0 in Action, Third Edition
A backup snapshot is a stored point-in-time copy of a database deployment's data for recovery.
- How it is used
- Supports consistent database recovery after failure, corruption, accidental deletion, or operational testing.
- How deep it goes
- Explains MVCC consistency, durable checkpoints, retention costs, and Atlas restoration workflow.
- Examples
- Uses 60-second checkpoints, retention settings, Atlas CLI restore commands, alternate clusters, and M0 dump restoration.
- What you can do after
- Operate Atlas snapshot restores and reason about checkpoint retention, recovery points, and M0 restoration alternatives.
Read how MongoDB 8.0 in Action, Third Edition explains snapshot →
100 SQL Server Mistakes and How to Avoid Them
A database snapshot is a read-only, point-in-time view of a SQL Server database that preserves pages as they existed when the snapshot was created.
- How it is used
- Provides point-in-time reporting, comparison, human-error recovery, and deployment rollback while complementing backups.
- How deep it goes
- Explains copy-on-write pages, sparse files, query routing, and source dependence, but stops short of creation commands.
- Examples
- Uses reporting, historical comparison, accidental deletion, failed deployment, sparse files, and source-page copying as examples.
- What you can do after
- Evaluate whether a snapshot suits reporting, comparison, or quick rollback without mistaking it for an independent backup.
Read how 100 SQL Server Mistakes and How to Avoid Them explains snapshot →
Machine Learning Platform Engineering
A data snapshot is a persisted representation of data captured at a particular point in time.
- How it is used
- Supports historical comparison and dashboard monitoring of data drift across reporting intervals.
- How deep it goes
- Explains storage in workspace projects and dashboard filtering, but defers snapshot-generation details.
- Examples
- Uses JSON snapshot files organized under projects and an income-classifier drift dashboard.
- What you can do after
- Operate/configure Evidently workspaces and dashboards to organize snapshots and compare monitored data over time.
Read how Machine Learning Platform Engineering explains snapshot →
ASP.NET Core in Action, 3e
A tracking snapshot is a stored set of an entity's property values used to compare its original and current state.
- How it is used
- Explains how EF Core identifies changed columns when persisting tracked entities.
- How deep it goes
- Explains snapshot creation and comparison, but defers alternative tracking mechanisms, disabling tracking, and inspection details.
- Examples
- Uses a tracked Recipe entity whose changed properties become part of an UPDATE statement.
- What you can do after
- Evaluate/understand why EF Core updates selected columns instead of every entity property.
Java Persistence with Spring Data and Hibernate epub
A state snapshot is a stored copy of an entity's state used to detect changes made to the managed instance.
- How it is used
- Supports Hibernate dirty checking by comparing managed entities with their previously loaded state during flush.
- How deep it goes
- Explains snapshot creation, comparison, memory cost, flush overhead, and read-only suppression, but not snapshot representation internals.
- Examples
- Uses a modified Item name, generated UPDATE behavior, detach and clear operations, and read-only Hibernate configuration.
- What you can do after
- Diagnose memory and flush costs, then reduce them with detach, clear, read-only settings, or narrower queries.
Read how Java Persistence with Spring Data and Hibernate epub explains snapshot →
Akka in Action, Second Edition
A snapshot is a persisted representation of a persistent actor's state at a point in its event history that accelerates recovery.
- How it is used
- Accelerates persistent-actor recovery by limiting how many journal events must be replayed.
- How deep it goes
- Explains event-based and periodic triggers, retention, failure signals, and exclusion of unusable snapshots.
- Examples
- Uses QuarterReached triggers, every-100-event retention, SPContainer cargo messages, and journal and snapshot database tables.
- What you can do after
- Operate/configure snapshotWhen, snapshotEvery, retention, and snapshot-selection policies for persistent actors.
Related concepts
- resource revisionincludes · A resource revision is a distinct historical state of an API resource that can be retrieved or otherwise operated on separately from other states.
- provisioning toolused by · Software that creates and prepares infrastructure resources and manages their infrastructure-level dependencies.
- full backupkind of · A full backup is a complete copy of all selected data or system state at a particular point in time.
- backup and restoreused by · Backup and restore is the practice of preserving copies of data or system state and using them to recover it after loss, damage, or failure.
- snapshot isolationused by · Snapshot isolation is a transaction-isolation method in which each transaction reads a consistent versioned snapshot of committed data while concurrent writes are isolated from that view.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.