Search Results for: Combine harvester threshers
operators that make it easy to build parallel apps. and you can use it interactively from the scala, python, r, and sql shells. df = spark.read.json("logs.json") df.where("age > ") .select("name.first").show() spark's python dataframe api read json files with automatic schema inference generality combine
sql, streaming, and complex analytics. spark powers a stack of libraries including sql and dataframes , mllib for machine learning, graphx , and spark streaming . you can combine these libraries seamlessly in the same application. runs everywhere spark runs on hadoop, apache mesos, kubernetes, standalone...
http://spark.apache.org/