Spark Backend Support for Gora (GORA-386)
Report compiled by
24 June 2015
Apache Gora open source framework provides an in-memory data model and persistence for big data. Gora supports persisting to column stores, key value stores, document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce support.
Even Spark is so powerful compared to Map/Reduce which Gora currently supports; there is no Spark backend for Gora. This proposal aims to develop a solution for Gora to support Spark.
GoraInputFormat is analyzed.
Spark's newAPIHadoopRDD method is analyzed.
Data is read from Hbase via Spark.
Read data over GoraInputFormat via Spark.
Develop and engine for Gora - Spark integration.
Implement LogAnalytics example with Gora - Spark style.