From 2abb6da161dacb433d26d6554f3c9afd6e4a9131 Mon Sep 17 00:00:00 2001 From: Peter Hoffmann Date: Sun, 14 Jun 2015 17:02:52 +0200 Subject: [PATCH] fix read/write mixup --- docs/sql-programming-guide.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index c5ab074e4439..7fed1bf8829f 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -995,11 +995,11 @@ List teenagerNames = teenagers.javaRDD().map(new Function() schemaPeople # The DataFrame from the previous example. # DataFrames can be saved as Parquet files, maintaining the schema information. -schemaPeople.read.parquet("people.parquet") +schemaPeople.write.parquet("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 = sqlContext.write.parquet("people.parquet") +parquetFile = sqlContext.read.parquet("people.parquet") # Parquet files can also be registered as tables and then used in SQL statements. parquetFile.registerTempTable("parquetFile");