From a865f6e05297f6121bb2fde717860f9edeed263e Mon Sep 17 00:00:00 2001
From: Dongjoon Hyun <dongjoon@apache.org>
Date: Thu, 16 Jun 2016 12:46:25 -0700
Subject: [SPARK-15996][R] Fix R examples by removing deprecated functions

## What changes were proposed in this pull request?

Currently, R examples(`dataframe.R` and `data-manipulation.R`) fail like the following. We had better update them before releasing 2.0 RC. This PR updates them to use up-to-date APIs.

```bash
$ bin/spark-submit examples/src/main/r/dataframe.R
...
Warning message:
'createDataFrame(sqlContext...)' is deprecated.
Use 'createDataFrame(data, schema = NULL, samplingRatio = 1.0)' instead.
See help("Deprecated")
...
Warning message:
'read.json(sqlContext...)' is deprecated.
Use 'read.json(path)' instead.
See help("Deprecated")
...
Error: could not find function "registerTempTable"
Execution halted
```

## How was this patch tested?

Manual.
```
curl -LO http://s3-us-west-2.amazonaws.com/sparkr-data/flights.csv
bin/spark-submit examples/src/main/r/dataframe.R
bin/spark-submit examples/src/main/r/data-manipulation.R flights.csv
```

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #13714 from dongjoon-hyun/SPARK-15996.
---
 examples/src/main/r/data-manipulation.R |  8 ++++----
 examples/src/main/r/dataframe.R         | 11 +++++++----
 2 files changed, 11 insertions(+), 8 deletions(-)

(limited to 'examples')

diff --git a/examples/src/main/r/data-manipulation.R b/examples/src/main/r/data-manipulation.R
index 58a30135aa..badb98bc78 100644
--- a/examples/src/main/r/data-manipulation.R
+++ b/examples/src/main/r/data-manipulation.R
@@ -49,10 +49,10 @@ flights_df$date <- as.Date(flights_df$date)
 SFO_df <- flights_df[flights_df$dest == "SFO", ] 
 
 # Convert the local data frame into a SparkDataFrame
-SFO_DF <- createDataFrame(sqlContext, SFO_df)
+SFO_DF <- createDataFrame(SFO_df)
 
 #  Directly create a SparkDataFrame from the source data
-flightsDF <- read.df(sqlContext, flightsCsvPath, source = "csv", header = "true")
+flightsDF <- read.df(flightsCsvPath, source = "csv", header = "true")
 
 # Print the schema of this SparkDataFrame
 printSchema(flightsDF)
@@ -75,8 +75,8 @@ destDF <- select(flightsDF, "dest", "cancelled")
 
 # Using SQL to select columns of data
 # First, register the flights SparkDataFrame as a table
-registerTempTable(flightsDF, "flightsTable")
-destDF <- sql(sqlContext, "SELECT dest, cancelled FROM flightsTable")
+createOrReplaceTempView(flightsDF, "flightsTable")
+destDF <- sql("SELECT dest, cancelled FROM flightsTable")
 
 # Use collect to create a local R data frame
 local_df <- collect(destDF)
diff --git a/examples/src/main/r/dataframe.R b/examples/src/main/r/dataframe.R
index 436bac6aaf..0434705717 100644
--- a/examples/src/main/r/dataframe.R
+++ b/examples/src/main/r/dataframe.R
@@ -25,7 +25,7 @@ sqlContext <- sparkRSQL.init(sc)
 localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
 
 # Convert local data frame to a SparkDataFrame
-df <- createDataFrame(sqlContext, localDF)
+df <- createDataFrame(localDF)
 
 # Print its schema
 printSchema(df)
@@ -35,14 +35,17 @@ printSchema(df)
 
 # Create a DataFrame from a JSON file
 path <- file.path(Sys.getenv("SPARK_HOME"), "examples/src/main/resources/people.json")
-peopleDF <- read.json(sqlContext, path)
+peopleDF <- read.json(path)
 printSchema(peopleDF)
+# root
+#  |-- age: long (nullable = true)
+#  |-- name: string (nullable = true)
 
 # Register this DataFrame as a table.
-registerTempTable(peopleDF, "people")
+createOrReplaceTempView(peopleDF, "people")
 
 # SQL statements can be run by using the sql methods provided by sqlContext
-teenagers <- sql(sqlContext, "SELECT name FROM people WHERE age >= 13 AND age <= 19")
+teenagers <- sql("SELECT name FROM people WHERE age >= 13 AND age <= 19")
 
 # Call collect to get a local data.frame
 teenagersLocalDF <- collect(teenagers)
-- 
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