PITR
A database recovery technique that combines a base full backup with archived write-ahead log (WAL) files to restore a database to any arbitrary historical point in time. It is a standard recovery mechanism in relational databases such as PostgreSQL, enabling precise recovery from data corruption or accidental data loss.
Timeline (last 90 days)
Traditional Postgres PITR relies on a base full backup plus WAL archiving, requiring restoration of the full backup followed by serial replay of all WAL logs during recovery.
On a TB-scale database, traditional PITR can take tens of minutes to hours just to restore the full backup.
Point-in-Time Recovery (PITR) allows users to restore a database to the state at any precise moment in the past, rather than only to the snapshot of the most recent full backup.
The underlying principle of PITR relies on Postgres's Write-Ahead Log (WAL), where all data changes are sequentially appended to the WAL before being written to the data files.
For business scenarios with extremely high data integrity requirements, such as finance and e-commerce, the recovery granularity of PITR directly determines the maximum data loss (RPO) in the event of a disaster.
All Facts (5)
Traditional Postgres PITR relies on a base full backup plus WAL archiving, requiring restoration of the full backup followed by serial replay of all WAL logs during recovery.
50%UnverifiedOn a TB-scale database, traditional PITR can take tens of minutes to hours just to restore the full backup.
50%UnverifiedPoint-in-Time Recovery (PITR) allows users to restore a database to the state at any precise moment in the past, rather than only to the snapshot of the most recent full backup.
50%UnverifiedThe underlying principle of PITR relies on Postgres's Write-Ahead Log (WAL), where all data changes are sequentially appended to the WAL before being written to the data files.
50%UnverifiedFor business scenarios with extremely high data integrity requirements, such as finance and e-commerce, the recovery granularity of PITR directly determines the maximum data loss (RPO) in the event of a disaster.
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