[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-20427: Assignee: Apache Spark > 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 >Assignee: Apache Spark > > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-20427: Assignee: (was: Apache Spark) > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
