GitHub - leewjae/iceberg: Apache Iceberg

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The Iceberg format specification is stable and new features are added with each version.

The core Java library is located in this repository and is the reference implementation for other libraries.

Documentation is available for all libraries and integrations.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle with Java 8, 11, or 17.

To invoke a build and run tests: ./gradlew build
To skip tests: ./gradlew build -x test -x integrationTest
To fix code style for default versions: ./gradlew spotlessApply
To fix code style for all versions of Spark/Hive/Flink:./gradlew spotlessApply -DallModules

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-arrow is an optional module for reading Parquet into Arrow memory
iceberg-orc is an optional module for working with tables backed by ORC files
iceberg-hive-metastore is an implementation of Iceberg tables backed by the Hive metastore Thrift client
iceberg-data is an optional module for working with tables directly from JVM applications

Iceberg also has modules for adding Iceberg support to processing engines:

iceberg-spark is an implementation of Spark's Datasource V2 API for Iceberg with submodules for each spark versions (use runtime jars for a shaded version)
iceberg-flink contains classes for integrating with Apache Flink (use iceberg-flink-runtime for a shaded version)
iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

NOTE

The tests require Docker to execute. On MacOS (with Docker Desktop), you might need to create a symbolic name to the docker socket in order to be detected by the tests:

sudo ln -s $HOME/.docker/run/docker.sock /var/run/docker.sock

Engine Compatibility

See the Multi-Engine Support page to know about Iceberg compatibility with different Spark, Flink and Hive versions. For other engines such as Presto or Trino, please visit their websites for Iceberg integration details.

Implementations

This repository contains the Java implementation of Iceberg. Other implementations can be found at:

Go: iceberg-go
PyIceberg (Python): iceberg-python
Rust: iceberg-rust

Name		Name	Last commit message	Last commit date
.baseline		.baseline
.github		.github
.palantir		.palantir
aliyun/src		aliyun/src
api/src		api/src
arrow/src		arrow/src
aws-bundle		aws-bundle
aws/src		aws/src
azure-bundle		azure-bundle
azure/src		azure/src
bundled-guava		bundled-guava
common/src/main/java/org/apache/iceberg/common		common/src/main/java/org/apache/iceberg/common
core/src		core/src
data/src		data/src
dell/src		dell/src
delta-lake/src		delta-lake/src
dev		dev
docs		docs
examples		examples
flink		flink
format		format
gcp-bundle		gcp-bundle
gcp/src		gcp/src
gradle		gradle
hive-metastore/src		hive-metastore/src
hive-runtime		hive-runtime
hive3-orc-bundle		hive3-orc-bundle
hive3		hive3
kafka-connect		kafka-connect
mr		mr
nessie/src		nessie/src
open-api		open-api
orc/src		orc/src
parquet/src		parquet/src
pig/src		pig/src
project		project
site		site
snowflake/src		snowflake/src
spark		spark
.asf.yaml		.asf.yaml
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
baseline.gradle		baseline.gradle
build.gradle		build.gradle
deploy.gradle		deploy.gradle
doap.rdf		doap.rdf
gradle.properties		gradle.properties
gradlew		gradlew
jitpack.yml		jitpack.yml
jmh.gradle		jmh.gradle
settings.gradle		settings.gradle
tasks.gradle		tasks.gradle

Name		Name	Last commit message	Last commit date
.baseline		.baseline
.github		.github
.palantir		.palantir
aliyun/src		aliyun/src
api/src		api/src
arrow/src		arrow/src
aws-bundle		aws-bundle
aws/src		aws/src
azure-bundle		azure-bundle
azure/src		azure/src
bundled-guava		bundled-guava
common/src/main/java/org/apache/iceberg/common		common/src/main/java/org/apache/iceberg/common
core/src		core/src
data/src		data/src
dell/src		dell/src
delta-lake/src		delta-lake/src
dev		dev
docs		docs
examples		examples
flink		flink
format		format
gcp-bundle		gcp-bundle
gcp/src		gcp/src
gradle		gradle
hive-metastore/src		hive-metastore/src
hive-runtime		hive-runtime
hive3-orc-bundle		hive3-orc-bundle
hive3		hive3
kafka-connect		kafka-connect
mr		mr
nessie/src		nessie/src
open-api		open-api
orc/src		orc/src
parquet/src		parquet/src
pig/src		pig/src
project		project
site		site
snowflake/src		snowflake/src
spark		spark
.asf.yaml		.asf.yaml
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
baseline.gradle		baseline.gradle
build.gradle		build.gradle
deploy.gradle		deploy.gradle
doap.rdf		doap.rdf
gradle.properties		gradle.properties
gradlew		gradlew
jitpack.yml		jitpack.yml
jmh.gradle		jmh.gradle
settings.gradle		settings.gradle
tasks.gradle		tasks.gradle

Name		Name	Last commit message	Last commit date
.baseline		.baseline
.github		.github
.palantir		.palantir
aliyun/src		aliyun/src
api/src		api/src
arrow/src		arrow/src
aws-bundle		aws-bundle
aws/src		aws/src
azure-bundle		azure-bundle
azure/src		azure/src
bundled-guava		bundled-guava
common/src/main/java/org/apache/iceberg/common		common/src/main/java/org/apache/iceberg/common
core/src		core/src
data/src		data/src
dell/src		dell/src
delta-lake/src		delta-lake/src
dev		dev
docs		docs
examples		examples
flink		flink
format		format
gcp-bundle		gcp-bundle
gcp/src		gcp/src
gradle		gradle
hive-metastore/src		hive-metastore/src
hive-runtime		hive-runtime
hive3-orc-bundle		hive3-orc-bundle
hive3		hive3
kafka-connect		kafka-connect
mr		mr
nessie/src		nessie/src
open-api		open-api
orc/src		orc/src
parquet/src		parquet/src
pig/src		pig/src
project		project
site		site
snowflake/src		snowflake/src
spark		spark
.asf.yaml		.asf.yaml
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
baseline.gradle		baseline.gradle
build.gradle		build.gradle
deploy.gradle		deploy.gradle
doap.rdf		doap.rdf
gradle.properties		gradle.properties
gradlew		gradlew
jitpack.yml		jitpack.yml
jmh.gradle		jmh.gradle
settings.gradle		settings.gradle
tasks.gradle		tasks.gradle

Name		Name	Last commit message	Last commit date
.baseline		.baseline
.github		.github
.palantir		.palantir
aliyun/src		aliyun/src
api/src		api/src
arrow/src		arrow/src
aws-bundle		aws-bundle
aws/src		aws/src
azure-bundle		azure-bundle
azure/src		azure/src
bundled-guava		bundled-guava
common/src/main/java/org/apache/iceberg/common		common/src/main/java/org/apache/iceberg/common
core/src		core/src
data/src		data/src
dell/src		dell/src
delta-lake/src		delta-lake/src
dev		dev
docs		docs
examples		examples
flink		flink
format		format
gcp-bundle		gcp-bundle
gcp/src		gcp/src
gradle		gradle
hive-metastore/src		hive-metastore/src
hive-runtime		hive-runtime
hive3-orc-bundle		hive3-orc-bundle
hive3		hive3
kafka-connect		kafka-connect
mr		mr
nessie/src		nessie/src
open-api		open-api
orc/src		orc/src
parquet/src		parquet/src
pig/src		pig/src
project		project
site		site
snowflake/src		snowflake/src
spark		spark
.asf.yaml		.asf.yaml
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
baseline.gradle		baseline.gradle
build.gradle		build.gradle
deploy.gradle		deploy.gradle
doap.rdf		doap.rdf
gradle.properties		gradle.properties
gradlew		gradlew
jitpack.yml		jitpack.yml
jmh.gradle		jmh.gradle
settings.gradle		settings.gradle
tasks.gradle		tasks.gradle

Name		Name	Last commit message	Last commit date
.baseline		.baseline
.github		.github
.palantir		.palantir
aliyun/src		aliyun/src
api/src		api/src
arrow/src		arrow/src
aws-bundle		aws-bundle
aws/src		aws/src
azure-bundle		azure-bundle
azure/src		azure/src
bundled-guava		bundled-guava
common/src/main/java/org/apache/iceberg/common		common/src/main/java/org/apache/iceberg/common
core/src		core/src
data/src		data/src
dell/src		dell/src
delta-lake/src		delta-lake/src
dev		dev
docs		docs
examples		examples
flink		flink
format		format
gcp-bundle		gcp-bundle
gcp/src		gcp/src
gradle		gradle
hive-metastore/src		hive-metastore/src
hive-runtime		hive-runtime
hive3-orc-bundle		hive3-orc-bundle
hive3		hive3
kafka-connect		kafka-connect
mr		mr
nessie/src		nessie/src
open-api		open-api
orc/src		orc/src
parquet/src		parquet/src
pig/src		pig/src
project		project
site		site
snowflake/src		snowflake/src
spark		spark
.asf.yaml		.asf.yaml
.gitattributes		.gitattributes
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
NOTICE		NOTICE
README.md		README.md
baseline.gradle		baseline.gradle
build.gradle		build.gradle
deploy.gradle		deploy.gradle
doap.rdf		doap.rdf
gradle.properties		gradle.properties
gradlew		gradlew
jitpack.yml		jitpack.yml
jmh.gradle		jmh.gradle
settings.gradle		settings.gradle
tasks.gradle		tasks.gradle

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