[SPARK-14194] spark csv reader not working properly if CSV content contains CRLF character (newline) in the intermediate cell

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Duplicate
• Affects Version/s: 1.5.2, 2.1.0
• Component/s: SQL
• Assignee: Unassigned
• Reporter: Kumaresh C R
• Created: 28/Mar/16 10:42
• Updated: 12/Dec/22 18:11
• Resolved: 28/Feb/17 23:08

Description

We have CSV content like below,

Sl.NO, Employee_Name, Company, Address, Country, ZIP_Code\n\r
"1", "ABCD", "XYZ", "1234", "XZ Street \n\r(CRLF charater), Municapality,....","USA", "1234567"

Since there is a '\n\r' character in the row middle (to be exact in the Address Column), when we execute the below spark code, it tries to create the dataframe with two rows (excluding header row), which is wrong. Since we have specified delimiter as quote (") character , why it takes the middle character as newline character ? This creates an issue while processing the created dataframe.

DataFrame df = sqlContextManager.getSqlContext().read().format("com.databricks.spark.csv")
.option("header", "true")
.option("inferSchema", "true")
.option("delimiter", delim)
.option("quote", quote)
.option("escape", escape)
.load(sourceFile);

Issue Links

• duplicates: SPARK-19610 multi line support for CSV