Querying with SQL Metadata tables, like history and snapshots , can use the Iceberg table name as a namespace.

Lists the Apache Iceberg™ tables for which you have access privileges. The command can be used to list Iceberg tables for the current/specified database or ...

You can use these metadata tables to inspect all metadata in an Iceberg table, including partition values, lower bounds, upper bounds, and counts used for scan ...

Version 1 of the Iceberg spec defines how to manage large analytic tables using immutable file formats: Parquet, Avro, and ORC. All version 1 data and metadata ... Format Versioning · Goals · Overview · Specification

Learn how to use Iceberg tables in Spark for time travel, inspecting table history, snapshots, and metadata, by reading this comprehensive guide with SQL ...

The Iceberg connector allows querying data stored in files written in Iceberg format, as defined in the Iceberg Table Spec.

To query an Iceberg dataset, use a standard SELECT statement like the following. Queries follow the Apache Iceberg format v2 spec and perform merge-on-read.

31 янв. 2023 г. · In this blog post we will look closely at how Apache Iceberg's metadata enables fast performance for analytical queries over large data sets.

23 июн. 2023 г. · Partitions metadata table has file_count and record_count. It will be nice to get total_size_in_bytes as well.

You can use table properties to configure many aspects of Iceberg tables. The full list of table properties is here.