[jira] [Created] (SPARK-42118) Wrong result when parsing a multiline JSON file with differing types for same column

["Dilip Biswal (Jira)" <ji...@apache.org>]

Dilip Biswal created SPARK-42118:
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             Summary: Wrong result when parsing a multiline JSON file with differing types for same column
                 Key: SPARK-42118
                 URL: https://issues.apache.org/jira/browse/SPARK-42118
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.2.1
            Reporter: Dilip Biswal


Here is a simple reproduction of the problem. We have a JSON file whose content looks like following and is in multiLine format.
[{"name":""},{"name":123.34}]

Here is the result of spark query when we read the above content.

scala> val df = spark.read.format("json").option("multiLine", true).load("/tmp/json")
df: org.apache.spark.sql.DataFrame = [name: double]

scala> df.show(false)
+----+
|name|
+----+
|null|
+----+


scala> df.count
res5: Long = 2

This is quite a serious problem for us as it's causing us to master corrupt data in lake. If there is some issue with parsing the input, we expect spark set the "_corrupt_record" so that we can act on it. Please note that df.count is reporting 2 rows where as df.show only reports 1 row with null value.



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