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https://issues.apache.org/jira/browse/SPARK-28369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-28369:
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Assignee: Apache Spark
> Check overflow in decimal UDF
> -----------------------------
>
> Key: SPARK-28369
> URL: https://issues.apache.org/jira/browse/SPARK-28369
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Mick Jermsurawong
> Assignee: Apache Spark
> Priority: Minor
>
> Udf resulting in overflowing BigDecimal currently returns null. This is
> inconsistent with new behavior allow option to check and throw overflow
> introduced in https://issues.apache.org/jira/browse/SPARK-23179
> {code:java}
> import spark.implicits._
> val tenFold: java.math.BigDecimal => java.math.BigDecimal =
> _.multiply(new java.math.BigDecimal("10"))
> val tenFoldUdf = udf(tenFold)
> val ds = spark
> .createDataset(Seq(BigDecimal("12345678901234567890.123")))
> .select(tenFoldUdf(col("value")))
> .as[BigDecimal]
> ds.collect shouldEqual Seq(null){code}
> The problem is at the {{CatalystTypeConverters}} where {{toPrecision}} gets
> converted to null
> [https://github.com/apache/spark/blob/13ae9ebb38ba357aeb3f1e3fe497b322dff8eb35/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala#L344-L356]
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