Apache Ignite Hadoop Accelerator provides a set of components allowing for in-memory Hadoop job execution and file system operations.
MapReduce
Hadoop Accelerator ships with alternate high-performant implementation of job tracker which replaces standard Hadoop MapReduce. Use it to boost your Hadoop MapReduce job execution performance.
IGFS - In-Memory FileSystem
Hadoop Accelerator ships with an implementation of Hadoop FileSystem which stores file system data in-memory using distributed Ignite File System (IGFS). Use it to minimize disk IO and improve performance of any file system operations.
Secondary File System
Hadoop Accelerator ships with an implementation of SecondaryFileSystem. This implementation can be injected into existing IGFS allowing for read-through and write-through behavior over any other Hadoop FileSystem implementation (e.g. HDFS). Use it if you want your IGFS to become an in-memory caching layer over disk-based HDFS or any other Hadoop-compliant file system.
Supported Hadoop distributions
Apache Ignite Hadoop Accelerator can be used with a number of Hadoop distributions. Each distribution may require specific installation steps.
See the following installation guides for more information:
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