May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How to do it...
To persist a DataFrame in a specific compression format, all you have to do is to provide compression as an option like this:
scala> mydf.write.option("compression","snappy").parquet("hdfs://localhost:9000/user/hduser/mydata")
Spark also supports lz4 and lzf, besides Snappy.
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