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[SPARK-15996][R] Fix R examples by removing deprecated functions

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## 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.
This commit is contained in:
Dongjoon Hyun 2016-06-16 12:46:25 -07:00 committed by Shivaram Venkataraman
parent 9ea0d5e326
commit a865f6e052
2 changed files with 11 additions and 8 deletions
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8
examples/src/main/r/data-manipulation.R
View file

@ -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)

11
examples/src/main/r/dataframe.R
View file

@ -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)