Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/12649#discussion_r60861420
--- Diff: docs/sql-programming-guide.md ---
@@ -1138,16 +1138,16 @@ for teenName in teenNames.collect():
schemaPeople # The DataFrame from the previous example.
# DataFrames can be saved as Parquet files, maintaining the schema
information.
-saveAsParquetFile(schemaPeople, "people.parquet")
+write.parquet(schemaPeople, "people.parquet")
# Read in the Parquet file created above. Parquet files are
self-describing so the schema is preserved.
# The result of loading a parquet file is also a DataFrame.
-parquetFile <- parquetFile(sqlContext, "people.parquet")
+parquetFile <- read.parquet(sqlContext, "people.parquet")
# Parquet files can also be registered as tables and then used in SQL
statements.
-registerTempTable(parquetFile, "parquetFile");
+registerTempTable(parquetFile, "parquetFile")
teenagers <- sql(sqlContext, "SELECT name FROM parquetFile WHERE age >= 13
AND age <= 19")
-teenNames <- map(teenagers, function(p) { paste("Name:", p$name)})
+teenNames <- SparkR:::lapply(teenagers, function(p) { paste("Name:",
p$name) })
--- End diff --
You can delete it. I can add a line for dapply in my PR. @shivaram
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