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Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2015/07/23 00:42:05 UTC
[jira] [Updated] (SPARK-9265) Dataframe.limit joined with another
dataframe can be non-deterministic
[ https://issues.apache.org/jira/browse/SPARK-9265?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das updated SPARK-9265:
---------------------------------
Description:
{code}
import org.apache.spark.sql._
import org.apache.spark.sql.functions._
val recentFailures = table("failed_suites").cache()
val topRecentFailures = recentFailures.groupBy('suiteName).agg(count("*").as('failCount)).orderBy('failCount.desc).limit(10)
topRecentFailures.show(100)
val mot = topRecentFailures.as("a").join(recentFailures.as("b"), $"a.suiteName" === $"b.suiteName")
(1 to 10).foreach { i =>
println(s"$i: " + mot.count())
}
{code}
This shows.
{code}
+--------------------+---------+
| suiteName|failCount|
+--------------------+---------+
|org.apache.spark....| 85|
|org.apache.spark....| 26|
|org.apache.spark....| 26|
|org.apache.spark....| 17|
|org.apache.spark....| 17|
|org.apache.spark....| 15|
|org.apache.spark....| 13|
|org.apache.spark....| 13|
|org.apache.spark....| 11|
|org.apache.spark....| 9|
+--------------------+---------+
1: 174
2: 166
3: 174
4: 106
5: 158
6: 110
7: 174
8: 158
9: 166
10: 106
{code}
was:
{{code}}
import org.apache.spark.sql._
import org.apache.spark.sql.functions._
val recentFailures = table("failed_suites").cache()
val topRecentFailures = recentFailures.groupBy('suiteName).agg(count("*").as('failCount)).orderBy('failCount.desc).limit(10)
topRecentFailures.show(100)
val mot = topRecentFailures.as("a").join(recentFailures.as("b"), $"a.suiteName" === $"b.suiteName")
(1 to 10).foreach { i =>
println(s"$i: " + mot.count())
}
{{code}}
{code}
+--------------------+---------+
| suiteName|failCount|
+--------------------+---------+
|org.apache.spark....| 85|
|org.apache.spark....| 26|
|org.apache.spark....| 26|
|org.apache.spark....| 17|
|org.apache.spark....| 17|
|org.apache.spark....| 15|
|org.apache.spark....| 13|
|org.apache.spark....| 13|
|org.apache.spark....| 11|
|org.apache.spark....| 9|
+--------------------+---------+
1: 174
2: 166
3: 174
4: 106
5: 158
6: 110
7: 174
8: 158
9: 166
10: 106
{code}
> Dataframe.limit joined with another dataframe can be non-deterministic
> ----------------------------------------------------------------------
>
> Key: SPARK-9265
> URL: https://issues.apache.org/jira/browse/SPARK-9265
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1
> Reporter: Tathagata Das
> Assignee: Reynold Xin
>
> {code}
> import org.apache.spark.sql._
> import org.apache.spark.sql.functions._
> val recentFailures = table("failed_suites").cache()
> val topRecentFailures = recentFailures.groupBy('suiteName).agg(count("*").as('failCount)).orderBy('failCount.desc).limit(10)
> topRecentFailures.show(100)
> val mot = topRecentFailures.as("a").join(recentFailures.as("b"), $"a.suiteName" === $"b.suiteName")
>
> (1 to 10).foreach { i =>
> println(s"$i: " + mot.count())
> }
> {code}
> This shows.
> {code}
> +--------------------+---------+
> | suiteName|failCount|
> +--------------------+---------+
> |org.apache.spark....| 85|
> |org.apache.spark....| 26|
> |org.apache.spark....| 26|
> |org.apache.spark....| 17|
> |org.apache.spark....| 17|
> |org.apache.spark....| 15|
> |org.apache.spark....| 13|
> |org.apache.spark....| 13|
> |org.apache.spark....| 11|
> |org.apache.spark....| 9|
> +--------------------+---------+
> 1: 174
> 2: 166
> 3: 174
> 4: 106
> 5: 158
> 6: 110
> 7: 174
> 8: 158
> 9: 166
> 10: 106
> {code}
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