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https://issues.apache.org/jira/browse/SPARK-24401?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16493015#comment-16493015
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Takeshi Yamamuro commented on SPARK-24401:
------------------------------------------
I didn't narrow down and I'm not sure that this is related to this issue
though, I found v2.2.0 had an incorrect result (fixed in v2.2.1);
As marco said, I'd be greated if you try on master;
{code}
// v2.2.0
scala> second_agg.show
+----+-----+----------------+-----+
| id1| id2| maxf| minf|
+----+-----+----------------+-----+
|1498|88586|0.00238636363635|3E-14|
+----+-----+----------------+-----+
// v2.2.1
scala> second_agg.show
+----+-----+----------------+----------------+
| id1| id2| maxf| minf|
+----+-----+----------------+----------------+
|1498|88586|3.95833333330000|2.00000000000000|
+----+-----+----------------+----------------+
// v2.3.0
scala> second_agg.show
+----+-----+----------------+----------------+
| id1| id2| maxf| minf|
+----+-----+----------------+----------------+
|1498|88586|3.95833333330000|2.00000000000000|
+----+-----+----------------+----------------+
// master
scala> second_agg.show
+----+-----+----------------+----------------+
| id1| id2| maxf| minf|
+----+-----+----------------+----------------+
|1498|88586|3.95833333330000|2.00000000000000|
+----+-----+----------------+----------------+
{code}
> Aggreate on Decimal Types does not work
> ---------------------------------------
>
> Key: SPARK-24401
> URL: https://issues.apache.org/jira/browse/SPARK-24401
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0, 2.3.0
> Reporter: Jorge Machado
> Priority: Major
> Attachments: testDF.parquet
>
>
> Hi,
> I think I found a really ugly bug in spark when performing aggregations with
> Decimals
> To reproduce:
>
> {code:java}
> val df = spark.read.parquet("attached file")
> val first_agg = fact_df.groupBy("id1", "id2",
> "start_date").agg(mean("projection_factor").alias("projection_factor"))
> first_agg.show
> val second_agg =
> first_agg.groupBy("id1","id2").agg(max("projection_factor").alias("maxf"),
> min("projection_factor").alias("minf"))
> second_agg.show
> {code}
> First aggregation works fine the second aggregation seems to be summing
> instead of max value. I tried with spark 2.2.0 and 2.3.0 same problem.
> The dataset as circa 800 Rows and the projection_factor has values from 0
> until 100. the result should not be bigger that 5 but with get
> 265820543091454.... as result back.
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