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https://issues.apache.org/jira/browse/SPARK-39604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17558857#comment-17558857
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eugene commented on SPARK-39604:
Issued https://github.com/apache/spark/pull/36993 for the ticket.
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eugene created SPARK-39604:
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Summary: Miss UT for DerbyDialet's getCatalystType
Key: SPARK-39604
URL: https://issues.apache.org/jira/browse/SPARK-39604
Project: Spark
Issue Type: Test
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https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1753#comment-1753
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eugene commented on SPARK-38846:
The JDBC type read from Teradata Numeric is `java.math.BigDecimal`. I
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eugene updated SPARK-38846:
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Environment:
Spark2.3.0/Spark3.2.1 on Yarn
Teradata 16.20.32.59
was:
Spark2.3.0 on Yarn
Teradata
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eugene updated SPARK-38846:
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Description:
I'm trying to load data from Teradata, the code using is:
sparkSession.read
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eugene updated SPARK-38846:
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Affects Version/s: 3.2.1
> Teradata's Number is either converted to its floor value or ceiling value
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eugene commented on SPARK-38846:
[~hyukjin.kwon] Thanks, just tried with latest Spark version (Spark
eugene created SPARK-38846:
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Summary: Teradata's Number is either converted to its floor value
or ceiling value despite its fractional part.
Key: SPARK-38846
URL: https://issues.apache.org/jira/browse/SPARK-38846
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https://issues.apache.org/jira/browse/SPARK-25694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16792230#comment-16792230
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Eugene commented on SPARK-25694:
[~howardatwork],
I have hit this problem as well, seems no