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10-04-2024 10:36 AM - edited 10-04-2024 10:41 AM
I know this post is a little old, but Chat GPT actually put together a very clean and straightforward solution for me (in scala):
// Set the temporary output directory and the desired final file path
val tempDir = "/tmp/your_file_name"
val finalOutputPath = "/tmp/your_file_name.csv"
// Get a DataFrame that contains the relevant CSV file data
val df = spark.table("your_table_name")
// Write DataFrame to a single partition in the temporary directory
df.coalesce(1)
.write
.mode("overwrite")
.option("header", "true")
.csv(tempDir)
// List the files in the temporary directory to find the CSV file
val csvFile = dbutils.fs.ls(tempDir).filter(file => file.name.endsWith(".csv"))(0).path
// Move and rename the CSV file to the desired location
dbutils.fs.mv(csvFile, finalOutputPath)
// Remove the temporary directory
dbutils.fs.rm(tempDir, true)
