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Posted to issues@spark.apache.org by "Tristan (JIRA)" <ji...@apache.org> on 2015/12/28 18:10:49 UTC
[jira] [Updated] (SPARK-12491) UDAF result differs in SQL if alias
is used
[ https://issues.apache.org/jira/browse/SPARK-12491?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tristan updated SPARK-12491:
----------------------------
Description:
Using the GeometricMean UDAF example (https://databricks.com/blog/2015/09/16/spark-1-5-dataframe-api-highlights-datetimestring-handling-time-intervals-and-udafs.html), I found the following discrepancy in results:
{code}
scala> sqlContext.sql("select group_id, gm(id) from simple group by group_id").show()
+--------+---+
|group_id|_c1|
+--------+---+
| 0|0.0|
| 1|0.0|
| 2|0.0|
+--------+---+
scala> sqlContext.sql("select group_id, gm(id) as GeometricMean from simple group by group_id").show()
+--------+-----------------+
|group_id| GeometricMean|
+--------+-----------------+
| 0|8.981385496571725|
| 1|7.301716979342118|
| 2|7.706253151292568|
+--------+-----------------+
{code}
was:
Using the GeometricMean UDAF example (https://databricks.com/blog/2015/09/16/spark-1-5-dataframe-api-highlights-datetimestring-handling-time-intervals-and-udafs.html), I found the following discrepancy in results:
scala> sqlContext.sql("select group_id, gm(id) from simple group by group_id").show()
+--------+---+
|group_id|_c1|
+--------+---+
| 0|0.0|
| 1|0.0|
| 2|0.0|
+--------+---+
scala> sqlContext.sql("select group_id, gm(id) as GeometricMean from simple group by group_id").show()
+--------+-----------------+
|group_id| GeometricMean|
+--------+-----------------+
| 0|8.981385496571725|
| 1|7.301716979342118|
| 2|7.706253151292568|
+--------+-----------------+
> UDAF result differs in SQL if alias is used
> -------------------------------------------
>
> Key: SPARK-12491
> URL: https://issues.apache.org/jira/browse/SPARK-12491
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.2
> Reporter: Tristan
>
> Using the GeometricMean UDAF example (https://databricks.com/blog/2015/09/16/spark-1-5-dataframe-api-highlights-datetimestring-handling-time-intervals-and-udafs.html), I found the following discrepancy in results:
> {code}
> scala> sqlContext.sql("select group_id, gm(id) from simple group by group_id").show()
> +--------+---+
> |group_id|_c1|
> +--------+---+
> | 0|0.0|
> | 1|0.0|
> | 2|0.0|
> +--------+---+
> scala> sqlContext.sql("select group_id, gm(id) as GeometricMean from simple group by group_id").show()
> +--------+-----------------+
> |group_id| GeometricMean|
> +--------+-----------------+
> | 0|8.981385496571725|
> | 1|7.301716979342118|
> | 2|7.706253151292568|
> +--------+-----------------+
> {code}
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