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https://issues.apache.org/jira/browse/SPARK-35374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17342733#comment-17342733
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Apache Spark commented on SPARK-35374:
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User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/32506
> Add string-to-number conversion support to JacksonParser
> --------------------------------------------------------
>
> Key: SPARK-35374
> URL: https://issues.apache.org/jira/browse/SPARK-35374
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.7, 3.1.1, 3.2.0
> Reporter: Kousuke Saruta
> Assignee: Kousuke Saruta
> Priority: Minor
>
> In the current implementation, spark.read.json doesn't convert numbers
> represented as string even though types are specified by schema.
> Here is anexample.
> {code}
> $ cat test.json
> { "value": "foo" }
>
> { "value": "100" }
>
> { "value": "257" }
>
> { "value": "32768" }
>
> { "value": "2147483648" }
>
> { "value": "2.71f" }
>
> { "value": "1.0E100" }
> $ bin/spark-shell
> import org.apache.spark.sql.types._
> val df = spark.read.
> schema(StructType(StructField("value", DoubleType)::Nil)).json("test.json")
> df.show
> +-----+
> |value|
> +-----+
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> | null|
> +-----+
> {code}
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