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orc

ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query.
https://orc.apache.org
data optimized reader quickly values lets type required integrated aware columnar that streaming current file decompress describing only hadoop designed process read large query format workloads reads finding rows storing with self support
Files download
File Operation
orc-1.7.4.pom download
Apache Maven 
<dependency>
  <groupId>org.apache.orc</groupId>
  <artifactId>orc</artifactId>
  <version>1.7.4</version>
  <type>pom</type>
</dependency>
Gradle Groovy 
implementation 'org.apache.orc:orc:1.7.4'
Gradle Kotlin 
implementation("org.apache.orc:orc:1.7.4")
Scala SBT 
libraryDependencies += "org.apache.orc" % "orc" % "1.7.4"
Groovy Grape 
@Grapes(
  @Grab(group='org.apache.orc', module='orc', version='1.7.4')
)
Apache Ivy 
<dependency org="org.apache.orc" name="orc" rev="1.7.4" />
Leiningen 
[org.apache.orc/orc "1.7.4"]
Apache Buildr 
'org.apache.orc:orc:jar:1.7.4'
Dependencies 
<parent>
  <groupId>org.apache</groupId>
  <artifactId>apache</artifactId>
  <version>23</version>
</parent>
The project has no third-party dependencies