Apache Iceberg Table and Catalog Configuration Guide for Hadoop
This article outlines the configuration settings for Apache Iceberg tables and catalogs on Hadoop, covering read and write properties, combine behavior for small HDFS files, reserved table properties, catalog lock options, and Hive Metastore connector Hadoop settings, supplemented with illustrative screenshots.
Configuration
1. Table properties
1.1 Read properties
Because Iceberg data files on HDFS are usually many small files, reading first performs a combine operation before returning data. The following configurations control the combine behavior.
1.2 Write properties
1.3 Table behavior properties
1.4 Reserved table properties
These are used only when creating or updating a table and are not stored as table metadata.
1.5 Compatibility flags
2. Catalog properties
2.1 Lock catalog properties
Configurations related to catalog lock, used to control lock behavior during commit.
3. Hadoop configuration
Settings for the Hive Metastore connector.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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