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Posted to issues@spark.apache.org by "Yuming Wang (JIRA)" <ji...@apache.org> on 2017/06/11 10:19:20 UTC
[jira] [Issue Comment Deleted] (SPARK-20427) Issue with Spark
interpreting Oracle datatype NUMBER
[ https://issues.apache.org/jira/browse/SPARK-20427?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yuming Wang updated SPARK-20427:
--------------------------------
Comment: was deleted
(was: [~srowen], [~smilegator]
*Workaround*:
# Increase DecimalType [{{MAX_PRECISION = 48}}|https://github.com/apache/spark/blob/v2.1.0/sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala#L115], this way need change lots of code.
# Set [OracleDialect scale to 0|https://github.com/apache/spark/blob/v2.1.0/sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala#L40], this way loss scale.
I prefer to 2, default scale is 10, if user occur this issue, they can set it to 0.)
> Issue with Spark interpreting Oracle datatype NUMBER
> ----------------------------------------------------
>
> 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,
> calculated as sum of the precision (in our case 34 digits) and the scale (10):
> "...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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