[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

2022-05-10 Thread eugene (Jira)
[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1753#comment-1753 ] eugene commented on SPARK-38846: The JDBC type read from Teradata Numeric is `java.math.BigDecimal`. I

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

2022-05-10 Thread Apache Spark (Jira)
[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534441#comment-17534441 ] Apache Spark commented on SPARK-38846: -- User 'Eugene-Mark' has created a pull request for this

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

2022-04-16 Thread Sean R. Owen (Jira)
[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17523186#comment-17523186 ] Sean R. Owen commented on SPARK-38846: -- Do you know what JDBC type the teradata driver returns for

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

2022-04-10 Thread eugene (Jira)
[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17520299#comment-17520299 ] eugene commented on SPARK-38846: [~hyukjin.kwon]  Thanks, just tried with latest Spark version (Spark

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

2022-04-10 Thread Hyukjin Kwon (Jira)
[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17520249#comment-17520249 ] Hyukjin Kwon commented on SPARK-38846: -- Spark 2.x is EOL. Mind trying Spark 3+ out? > Teradata's