Escape New line character in Spark CSV read

2024/11/18 11:29:38

I'm working on Spark 2.2.1 version and using the below python code, I can able to escape special characters like @ : I want to escape the special characters like newline(\n) and carriage return(\r). I replaced the @ which \n, however it didn't worked. Any suggestions please.

Working:

spark_df = spark.read.csv(file.csv,mode="DROPMALFORMED",inferSchema=True,header =True,escape="@")

Not Working:

spark_df = spark.read.csv(file.csv,mode="DROPMALFORMED",inferSchema=True,header =True,escape="\n")
Answer

If your goal is to read csv having textual content with multiple newlines in it, then the way to go is using the spark multiline option.

I recently posted some code for scala there.

val df = spark.read
.option("wholeFile", true)
.option("multiline",true)
.option("header", true)
.option("inferSchema", "true")
.option("dateFormat", "yyyy-MM-dd")
.option("timestampFormat", "yyyy-MM-dd HH:mm:ss")
.csv("test.csv")

The python syntax will be slightly different but shoud work well.

https://en.xdnf.cn/q/71063.html

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