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https://issues.apache.org/jira/browse/SPARK-46890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17812040#comment-17812040
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Daniel commented on SPARK-46890:
--------------------------------

I tried the exact command in the bug description, and it doesn't cause any 
errors on the master branch:

 
{code:java}
withTable("Products") {
  spark.sql(
    s"""
       |CREATE TABLE IF NOT EXISTS Products (
       |  product_id INT,
       |  name STRING,
       |  price FLOAT default 0.0,
       |  quantity INT default 0
       |)
       |USING CSV
       |OPTIONS (
       |  header 'true',
       |  inferSchema 'false',
       |  enforceSchema 'false',
       |  path "${testFile(productsFile)}"
       |)
   """.stripMargin)
  checkAnswer(
    spark.table("Products"),
    Seq(
      Row(1, "Apple", 0.50, 100),
      Row(2, "Banana", 0.25, 200),
      Row(3, "Orange", 0.75, 50)))
} {code}
With the "products.csv" file containing:
{code:java}
product_id,name,price,quantity
1,Apple,0.50,100
2,Banana,0.25,200
3,Orange,0.75,50 {code}
This unit test passes.

 

> CSV fails on a column with default and without enforcing schema
> ---------------------------------------------------------------
>
>                 Key: SPARK-46890
>                 URL: https://issues.apache.org/jira/browse/SPARK-46890
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Max Gekk
>            Priority: Major
>
> When we create a table using CSV on an existing file with a header and:
>  - a column has an default +
>  - enforceSchema is false - taking into account CSV header
> then query a column with a default.
> The example below shows the issue:
> {code:sql}
> CREATE TABLE IF NOT EXISTS products (
>   product_id INT,
>   name STRING,
>   price FLOAT default 0.0,
>   quantity INT default 0
> )
> USING CSV
> OPTIONS (
>   header 'true',
>   inferSchema 'false',
>   enforceSchema 'false',
>   path '/Users/maximgekk/tmp/products.csv'
> );
> {code}
> The CSV file products.csv:
> {code:java}
> product_id,name,price,quantity
> 1,Apple,0.50,100
> 2,Banana,0.25,200
> 3,Orange,0.75,50
> {code}
> The query fails:
> {code:sql}
> spark-sql (default)> SELECT price FROM products;
> 24/01/28 11:43:09 ERROR Executor: Exception in task 0.0 in stage 8.0 (TID 6)
> java.lang.IllegalArgumentException: Number of column in CSV header is not 
> equal to number of fields in the schema:
>  Header length: 4, schema size: 1
> CSV file: file:///Users/maximgekk/tmp/products.csv
> {code}



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