July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Left outer join
Left outer join results in all rows from statesPopulationDF, including any common in statesPopulationDF and statesTaxRatesDF.
Join the two datasets by the state column, shown as follows:
val joinDF = statesPopulationDF.join(statesTaxRatesDF, statesPopulationDF("State") === statesTaxRatesDF("State"), "leftouter")%sqlval joinDF = spark.sql("SELECT * FROM statesPopulationDF LEFT OUTER JOIN statesTaxRatesDF ON statesPopulationDF.State = statesTaxRatesDF.State")scala> joinDF.countres22: Long = 357scala> joinDF.show(5)+----------+----+----------+----------+-------+| State|Year|Population| State|TaxRate|+----------+----+----------+----------+-------+ ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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