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https://issues.apache.org/jira/browse/SPARK-38060?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean R. Owen resolved SPARK-38060.
----------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35573
[https://github.com/apache/spark/pull/35573]
> Inconsistent behavior from JSON option allowNonNumericNumbers
> -------------------------------------------------------------
>
> Key: SPARK-38060
> URL: https://issues.apache.org/jira/browse/SPARK-38060
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0
> Environment: Running Spark 3.2.0 in local mode on Ubuntu 20.04.3 LTS
> Reporter: Andy Grove
> Assignee: Andy Grove
> Priority: Minor
> Fix For: 3.3.0
>
>
> The behavior of the JSON option allowNonNumericNumbers is not consistent:
> 1. Some NaN and Infinity values are still parsed when the option is set to
> false
> 2. Some values are parsed differently depending on whether they are quoted or
> not (see results for positive and negative Infinity)
> h2. Input data
> {code:java}
> { "number": "NaN" }
> { "number": NaN }
> { "number": "+INF" }
> { "number": +INF }
> { "number": "-INF" }
> { "number": -INF }
> { "number": "INF" }
> { "number": INF }
> { "number": Infinity }
> { "number": +Infinity }
> { "number": -Infinity }
> { "number": "Infinity" }
> { "number": "+Infinity" }
> { "number": "-Infinity" }
> {code}
> h2. Setup
> {code:java}
> import org.apache.spark.sql.types._
> val schema = StructType(Seq(StructField("number", DataTypes.FloatType,
> false))) {code}
> h2. allowNonNumericNumbers = false
> {code:java}
> spark.read.format("json").schema(schema).option("allowNonNumericNumbers",
> "false").json("nan_valid.json")
> df.show
> +---------+
> | number|
> +---------+
> | NaN|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | Infinity|
> | null|
> |-Infinity|
> +---------+ {code}
> h2. allowNonNumericNumbers = true
> {code:java}
> val df =
> spark.read.format("json").schema(schema).option("allowNonNumericNumbers",
> "true").json("nan_valid.json")
> df.show
> +---------+
> | number|
> +---------+
> | NaN|
> | NaN|
> | null|
> | Infinity|
> | null|
> |-Infinity|
> | null|
> | null|
> | Infinity|
> | Infinity|
> |-Infinity|
> | Infinity|
> | null|
> |-Infinity|
> +---------+{code}
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