vortex-spark
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<dependency>
<groupId>dev.vortex</groupId>
<artifactId>vortex-spark</artifactId>
<version>0.31.0</version>
</dependency><?xml version="1.0" encoding="UTF-8"?>
<project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<!-- This module was also published with a richer model, Gradle metadata, -->
<!-- which should be used instead. Do not delete the following line which -->
<!-- is to indicate to Gradle or any Gradle module metadata file consumer -->
<!-- that they should prefer consuming it instead. -->
<!-- do_not_remove: published-with-gradle-metadata -->
<modelVersion>4.0.0</modelVersion>
<groupId>dev.vortex</groupId>
<artifactId>vortex-spark</artifactId>
<version>0.31.0</version>
<name>vortex-spark</name>
<description>Apache Spark bindings for reading Vortex file datasets</description>
<url>https://vortex.dev</url>
<inceptionYear>2025</inceptionYear>
<licenses>
<license>
<name>Apache-2.0</name>
<url>https://spdx.org/licenses/Apache-2.0.html</url>
</license>
</licenses>
<developers>
<developer>
<id>spiraldb</id>
<name>Vortex Authors</name>
</developer>
</developers>
<scm>
<connection>scm:git:https://github.com/spiraldb/vortex.git</connection>
<developerConnection>scm:git:ssh://github.com/spiraldb/vortex.git</developerConnection>
<url>https://github.com/spiraldb/vortex</url>
</scm>
<dependencyManagement>
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<dependency>
<groupId>org.tukaani</groupId>
<artifactId>xz</artifactId>
<version>1.9</version>
</dependency>
<dependency>
<groupId>org.xerial.snappy</groupId>
<artifactId>snappy-java</artifactId>
<version>1.1.10.5</version>
</dependency>
<dependency>
<groupId>oro</groupId>
<artifactId>oro</artifactId>
<version>2.0.8</version>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-catalyst_2.12</artifactId>
<version>3.5.5</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>3.5.5</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>dev.vortex</groupId>
<artifactId>vortex-jni</artifactId>
<version>b55e5ec.dirty</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>33.4.8-jre</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>dev.vortex</groupId>
<artifactId>vortex-root</artifactId>
<version>b55e5ec.dirty</version>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
</dependencies>
</project>
Open source consumption has exploded, with estimates placing this year’s downloads at over 6.6 trillion. This reliance on open source components, now making up to 90% of the modern software application, has ushered in both unprecedented innovation and complex challenges for software supply chains.
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