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https://issues.apache.org/jira/browse/SPARK-20427?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Andrushenko updated SPARK-20427:
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Summary: Issue with number conversions (was: Issue with number conversions
between Spark DataFrames and Oracle NUMBER fields)
> Issue with number conversions
> -----------------------------
>
> Key: SPARK-20427
> URL: https://issues.apache.org/jira/browse/SPARK-20427
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Alexander Andrushenko
>
> In Oracle exists data type NUMBER. When defining a filed in a table of type
> NUMBER the field has two components, precision and scale.
> For example, NUMBER(p,s) has precision p and scale s.
> Precision can range from 1 to 38.
> Scale can range from -84 to 127.
> When reading such a filed Spark can create numbers with precision exceeding
> 38. In our case it has created fields with precision 44:
> java.lang.IllegalArgumentException: requirement failed: Decimal precision 44
> exceeds max precision 38
> The result was, that a data frame was read from a table on one schema but
> could not be inserted in the identical table on other schema.
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