# incubator-iceberg **Repository Path**: mirrors_InterestingLab/incubator-iceberg ## Basic Information - **Project Name**: incubator-iceberg - **Description**: Apache Iceberg (Incubating) - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-25 - **Last Updated**: 2026-03-22 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![](site/docs/img/Iceberg-logo.png) [![](https://travis-ci.org/apache/incubator-iceberg.svg?branch=master)](https://travis-ci.org/apache/incubator-iceberg) [![](https://badges.gitter.im/iceberg-tables/Lobby.svg)](https://gitter.im/iceberg-tables/Lobby) Apache Iceberg (incubating) is a new table format for storing large, slow-moving tabular data. It is designed to improve on the de-facto standard table layout built into Hive, Presto, and Spark. Background and documentation is available at ## Status Iceberg is under active development in the Apache Incubator. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on integrating Iceberg into Spark and Presto. The [Iceberg format specification][iceberg-spec] is being actively updated and is open for comment. Until the specification is complete and released, it carries no compatibility guarantees. The spec is currently evolving as the Java reference implementation changes. [Java API javadocs][iceberg-javadocs] are available for the master. [iceberg-javadocs]: https://iceberg.apache.org/javadoc/master [iceberg-spec]: https://iceberg.apache.org/spec ## Collaboration Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests. Community discussions happen primarily on the [dev mailing list][dev-list] or on specific issues. [dev-list]: mailto:dev@iceberg.apache.org ### Building Iceberg is built using Gradle 5.4.1. * To invoke a build and run tests: `./gradlew build` * To skip tests: `./gradlew build -x test` Iceberg table support is organized in library modules: * `iceberg-common` contains utility classes used in other modules * `iceberg-api` contains the public Iceberg API * `iceberg-core` contains implementations of the Iceberg API and support for Avro data files, **this is what processing engines should depend on** * `iceberg-parquet` is an optional module for working with tables backed by Parquet files * `iceberg-orc` is an optional module for working with tables backed by ORC files (*experimental*) * `iceberg-hive` is an implementation of iceberg tables backed by hive metastore thrift client This project Iceberg also has modules for adding Iceberg support to processing engines: * `iceberg-spark` is an implementation of Spark's Datasource V2 API for Iceberg (use iceberg-runtime for a shaded version) * `iceberg-data` is a client library used to read Iceberg tables from JVM applications * `iceberg-pig` is an implementation of Pig's LoadFunc API for Iceberg ### Compatibility Iceberg's Spark integration is compatible with the following Spark versions: | Iceberg version | Spark version | | --------------- | ------------- | | 0.2.0+ * | 2.3.0 | | 0.3.0+ * | 2.3.2 | | master branch | 2.4.x | An asterisk (*) refers to releases under the now deprecated [Netflix/iceberg](https://github.com/Netflix/iceberg) repo.