732A54 Big Data Analytics: SparkSQL
732A54 ? Big Data Analytics: SparkSQL
Version: Dec 8, 2016
Title/Lecturer
2016-12-08 2
DataFrames
A DataFrame is a distributed collection of data organized into named columns. It is conceptually equivalent to a table in a relational database or a data frame in R/Python, but with richer optimizations under the hood. DataFrames can be constructed from a wide array of sources such as: structured data files, tables in Hive, external databases, or existing RDDs.
n/pyspark.sql.html
Title/Lecturer
2016-12-08 3
SQLContext & HiveContext
? Start with obtaining SparkContext object and then SQLContext from it
sc = SparkContext() sqlContext = SQLContext(sc)
? HiveContext provides additional features to SQLContext (likely not needed for the lab assignment)
from pyspark.sql import HiveContext sqlContext = HiveContext(sc)
Title/Lecturer
Imports
Don't forget to import relevant classes first!
2016-12-08 4
from pyspark import SparkContext from pyspark.sql import SQLContext, Row from pyspark.sql import functions as F
Title/Lecturer
Create a DataFrame from a RDD
? Two ways: ? Inferring the schema using reflection ? Specifying the schema programatically
? Then register the table
2016-12-08 5
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