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HBase-based BI "OLAP-ish" solution
Java R Shell

What it is

HBase-Lattice is an attempt to provide HBase-based BI "OLAP-ish" solution with primary goals of real time SLAs for queries, low latency of facts becoming available for query by means of parallelizable MapReduce incremental compiler, and emphasis on Time Series data.

Like OLAP, it has concepts of facts, measures, dimensions and dimension hierarchies. Data query is supported by means any of:

  1. declarative query api;
  2. simple select-like query language;
  3. HblInputFormat for distributed locality-sensitive bulk cube queries /exports;
  4. R package to load summaries as R data frames for further processing.


Check out the docs folder.


Current build sets dependencies on CDH3u3 stuff. (now HBase dependency is set on 0.92.1). Hadoop and CDH3 dependencies are inherited transitively thru "ecoadapters" project.

It also depends on another our project, ecoadapters (same repo).

If you want to pull prebuilt artifacts in your maven project, you can use for the maven repo url to pull from. (there's also a snapshot repo but i don't rebuild snapshots regularly enough so probably local snapshot build will be a better choice for anyone who wants to try out the HEAD of trunk.)

all released builds there are tagged in the git (see tags).

The R package builds when -DR option is specified to maven. However, there are additional requirements for building R artifact (namely, R and dependent packages installed locally). R module releases are also available as prebuilt from the maven repository mentioned above. They have "rpkg" maven classifier.


The potential features and improvements are listed in a doc section. Most glaring are lack of use of co-processors, approximate distnct count sketch, and additional spatial scan methodologies such as Hilbert curves.


Apache 2.0

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