Apache Accumulo is a sorted, distributed key/value store. It is a robust, highly scalable, high performance data storage and retrieval system.
Apache Accumulo is based on Google’s BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. Apache Accumulo features a few novel improvements on the BigTable design in the form of cell-based access control and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.
Accumulo operates over the Hadoop Distributed File System (HDFS), which is part of the popular Apache Hadoop project. Accumulo features automatic load-balancing and partitioning, data compression and fine-grained security labels. It has cell-level access labels and a server-side programming mechanisms.
- Table Design and Configuration:
- Cell Labels.
- Large Rows.
- Master Fail Over.
- Write Ahead Log.
- Logical Time.
- Logical Time for Bulk Import.
- Scalable Master.
- Relative Encoding.
- Native In-Memory Map.
- Scan Pipeline.
- Multi-Level Rfile Index.
- Functional Test.
- Scale Test.
- Random Walk Test.
- Client API:
- Batch Scanner.
- Batch Writer.
- Bulk Import.
- Map Reduce.
- Extensible Behaviors:
- Pluggable Balancer.
- Pluggable Memory Manager.
- Pluggable Logger Assignment Strategy.
- General Administration:
- Monitor Page.
- Online Reconfiguration.
- Table Renaming.
- Internal Data Management:
- Locality Groups.
- Smart Compaction Algorithm.
- Merging Minor Compaction.
- On-demand Data Management:
- Split Points.
- Tablet Merging.
- Table Cloning.
- Compact Range.
- Delete Range.
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