July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Saving datasets
Spark SQL can save data to external storage systems such as files, Hive tables and JDBC databases through DataFrameWriter interface.
The format of the API call is dataframe.write.outputtype
- Parquet
- ORC
- Text
- Hive table
- JSON
- CSV
- JDBC
Let's look at a couple of examples of writing or saving a DataFrame to a CSV file:
scala> statesPopulationDF.write.option("header", "true").csv("statesPopulation_dup.csv")scala> statesTaxRatesDF.write.option("header", "true").csv("statesTaxRates_dup.csv")
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.