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Updated README with better R example and inferSchema flag #103

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falaki merged 1 commit into from
Jul 16, 2015
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Updated README with better R example and inferSchema flag #103

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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -45,6 +45,7 @@ When reading files the API accepts several options:
* `DROPMALFORMED`: drops lines which have fewer or more tokens than expected
* `FAILFAST`: aborts with a RuntimeException if encounters any malformed line
* `charset`: defaults to 'UTF-8' but can be set to other valid charset names
* `inferSchema`: automatically infers column types. It requires one extra pass over the data and is false by default

The package also support saving simple (non-nested) DataFrame. When saving you can specify the delimiter and whether we should generate a header row for the table. See following examples for more details.

Expand Down Expand Up @@ -136,6 +137,9 @@ df.select("year", "model").save("newcars.csv", "com.databricks.spark.csv")
### R API
Spark 1.4+:
```R
library(SparkR)

Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.1.0" "sparkr-shell"')
sqlContext <- sparkRSQL.init(sc)
df <- read.df(sqlContext, "cars.csv", source = "com.databricks.spark.csv")

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