Spark SQL - How to write DataFrame to text file?

Question

I am using Spark SQL for reading parquet and writing parquet file.

But some cases,i need to write the DataFrame as text file instead of Json or

Answer 1

df.repartition(1).write.option("header", "true").csv("filename.csv")

Answer 2

Using Databricks Spark-CSV you can save directly to a CSV file and load from a CSV file afterwards like this

import org.apache.spark.sql.SQLContext

SQLContext sqlContext = new SQLContext(sc);
DataFrame df = sqlContext.read()
    .format("com.databricks.spark.csv")
    .option("inferSchema", "true")
    .option("header", "true")
    .load("cars.csv");

df.select("year", "model").write()
    .format("com.databricks.spark.csv")
    .option("header", "true")
    .option("codec", "org.apache.hadoop.io.compress.GzipCodec")
    .save("newcars.csv");