Github user liancheng commented on a diff in the pull request: https://github.com/apache/spark/pull/14368#discussion_r72387754 --- Diff: examples/src/main/r/RSparkSQLExample.R --- @@ -18,31 +18,43 @@ library(SparkR) # $example on:init_session$ -sparkR.session(appName = "MyApp", sparkConfig = list(spark.executor.memory = "1g")) +sparkR.session(appName = "MyApp", sparkConfig = list(spark.some.config.option = "some-value")) # $example off:init_session$ -# $example on:create_DataFrames$ +# $example on:create_df$ df <- read.json("examples/src/main/resources/people.json") # Displays the content of the DataFrame head(df) +## age name +## 1 NA Michael +## 2 30 Andy +## 3 19 Justin # Another method to print the first few rows and optionally truncate the printing of long values showDF(df) -# $example off:create_DataFrames$ +## +----+-------+ +## | age| name| +## +----+-------+ +## |null|Michael| --- End diff -- I'm not familiar with SparkR, so please correct me if I'm wrong. IIRC, `showDF` is mapped to the Scala method `Dataset.show()`, which executes in the JVM, where `NA` isn't available, and we have to use `null` as the only reasonable alternative. You may see that the previous `head(df)` call does print `NA` instead of `null`.
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