Spark - CSV text loading parsing error - scala

I am using following code to load a csv file that has text/notes in it.
val data = sqlContext
.read
.format("com.databricks.spark.csv")
.option("header", "true")
.option("inferSchema", "true")
.option("parserLib", "UNIVOCITY")
.load(dataPath)
.na.drop()
Notes are not in any specific format. During loading I am getting this error:
com.univocity.parsers.common.TextParsingException: Error processing input: null
Identified line separator characters in the parsed content. This may be the cause of the error. The line separator in your parser settings is set to '\n'.
I'd appreciate any help. Thanks.


I do not have privilege to comment on question, I'm adding answer.
As you are doing na.drop(), may use option("mode", "DROPMALFORMED") as well.
val data = sqlContext
.read
.format("com.databricks.spark.csv")
.option("header", "true")
.option("inferSchema", "true")
.option("mode", "DROPMALFORMED")
.option("parserLib", "UNIVOCITY")
.load(dataPath)
.na.drop()
BTW, databricks spark csv is inbuilt in Spark 2.0+

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I want to load a text file which has delimiter "|" into Dataframe in spark.
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For Spark 2.x
val df = spark.read.format("csv")
.option("delimiter", "|")
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For Spark<2.0
val df = sqlContext.read
.format("com.databricks.spark.csv")
.option("delimiter", "|")
.load("/user/danishdshadab786/paper2/products/")
You can add more options like option("header", "true") for reading headers in the same statement.

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spark.read
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var data = spark.sqlContext.read.format(
"com.databricks.spark.csv").option("header", "true"
).option("inferSchema", "true").load(data_path)
Can you help me customizing above lines to do this?

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val headersDF = sqlContext
.read
.format("com.databricks.spark.csv")
.option("header", "true")
.load("path to headers.csv")
val schema = headersDF.schema
val dataDF = sqlContext
.read
.format("com.databricks.spark.csv")
.schema(schema)
.load("path to data.csv")
I hope the answer is helpful

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I have a "\u0001" delimited file reading with spark for parquet conversion and I don't have any issues with schema, but, data has quotes(") in between without an end quote. I tried different solutions but couldn't figured out any.
val df = sparkSession.sqlContext.read
.format("com.databricks.spark.csv")
.option("delimiter", "\u0001")
//.option("quote", "\"")
//.option("quote", null)
//.option("quoteMode", "ALL")
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.option("mode","FAILFAST")
.option("treatEmptyValuesAsNulls","true")
.option("nullValue"," ")
.option("ignoreLeadingWhiteSpace", "true")
.option("ignoreTrailingWhiteSpace", "true")
.schema(schema)
.load(fileLocation)
Thanks in advance and appreciate your help

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