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Replication

As explained in Architecting an Apache Iceberg Lakehouse

Data replication is the process of maintaining copies of data in multiple storage systems or locations.

Replication maintains copies of data across storage systems, nodes, regions, or environments. It supports durability and availability, but introduces tradeoffs involving consistency, latency, recovery time, cost, and operational complexity. section 5.1.3 section 5.4

Apply replication according to the storage architecture and recovery objective:

  • Colocated storage commonly uses software-managed replication, such as HDFS three-way replication; it offers low latency but couples capacity growth to compute and can require slow rereplication. section 5.4
  • Object storage typically provides automatic redundancy across nodes or regions, while cross-region replication protects against loss of a cloud region or account. section 5.1.3 section 11.3.7
  • Treat Iceberg replication as a coordinated operation across data files, metadata files, snapshots, and catalog state; copying files alone does not preserve a usable table. section 5.1.3 section 11.3.3

Cross-region Iceberg recovery

Configure object storage replication for table data and metadata, back up catalog state, rewrite absolute paths for the destination region, then register and validate the restored table through an automated recovery workflow. section 11.3.3 section 11.3.7

Figure 11.6 Regular backups, not just of data files but also of metadata files and catalog state, can speed disaster recovery and ensure that storage is in sync with the catalog after recovery.

Use the recovery architecture diagram to trace how backups, replicated storage, metadata, and catalog state remain synchronized. section 11.3.7

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Explains storage-model tradeoffs and Iceberg recovery workflows, including metadata rewriting, but stops short of vendor-specific configuration.
Examples
Uses HDFS three-way replication, cloud cross-region replication, metadata path rewriting, and automated recovery DAGs.
What it assumes
Assumes familiarity with storage systems and distributed failures while explaining Iceberg’s separate data, metadata, and catalog layers.
What you can do after
Operate/configure replication with coordinated backups, metadata handling, catalog recovery, validation, and automated regional failover workflows.
How it connects
Connects replication to durability, consistency, high availability, disaster recovery, object storage, Apache Iceberg, metadata, and catalogs.

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This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.