[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-11-15 Thread Dongjoon Hyun (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-45592:
--
Fix Version/s: 3.4.2

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 3.5.0
>Reporter: Emil Ejbyfeldt
>Assignee: Emil Ejbyfeldt
>Priority: Blocker
>  Labels: correctness, pull-request-available
> Fix For: 3.4.2, 4.0.0, 3.5.1
>
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevel
> val df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-11-09 Thread Emil Ejbyfeldt (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Emil Ejbyfeldt updated SPARK-45592:
---
Description: 
The following query should return 100
{code:java}
import org.apache.spark.storage.StorageLevel

val df = spark.range(0, 100, 1, 5).map(l => (l, l))
val ee = df.select($"_1".as("src"), $"_2".as("dst"))
  .persist(StorageLevel.MEMORY_AND_DISK)

ee.count()
val minNbrs1 = ee
  .groupBy("src").agg(min(col("dst")).as("min_number"))
  .persist(StorageLevel.MEMORY_AND_DISK)
val join = ee.join(minNbrs1, "src")
join.count(){code}
but on spark 3.5.0 there is a correctness bug causing it to return `104800` or 
some other smaller value.

  was:
The following query should return 100
{code:java}
import org.apache.spark.storage.StorageLevelval

df = spark.range(0, 100, 1, 5).map(l => (l, l))
val ee = df.select($"_1".as("src"), $"_2".as("dst"))
  .persist(StorageLevel.MEMORY_AND_DISK)

ee.count()
val minNbrs1 = ee
  .groupBy("src").agg(min(col("dst")).as("min_number"))
  .persist(StorageLevel.MEMORY_AND_DISK)
val join = ee.join(minNbrs1, "src")
join.count(){code}
but on spark 3.5.0 there is a correctness bug causing it to return `104800` or 
some other smaller value.


> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 3.5.0
>Reporter: Emil Ejbyfeldt
>Assignee: Emil Ejbyfeldt
>Priority: Blocker
>  Labels: correctness, pull-request-available
> Fix For: 4.0.0, 3.5.1
>
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevel
> val df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-11-09 Thread Dongjoon Hyun (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-45592:
--
Target Version/s: 3.4.2

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 3.5.0
>Reporter: Emil Ejbyfeldt
>Assignee: Apache Spark
>Priority: Blocker
>  Labels: correctness, pull-request-available
> Fix For: 4.0.0, 3.5.1
>
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-11-09 Thread Dongjoon Hyun (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-45592:
--
Affects Version/s: 3.4.1

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.4.1, 3.5.0
>Reporter: Emil Ejbyfeldt
>Assignee: Apache Spark
>Priority: Blocker
>  Labels: correctness, pull-request-available
> Fix For: 4.0.0, 3.5.1
>
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-10-29 Thread Dongjoon Hyun (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-45592:
--
Labels: correctness pull-request-available  (was: pull-request-available)

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.5.0
>Reporter: Emil Ejbyfeldt
>Priority: Major
>  Labels: correctness, pull-request-available
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-10-29 Thread Dongjoon Hyun (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-45592:
--
Priority: Blocker  (was: Major)

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.5.0
>Reporter: Emil Ejbyfeldt
>Priority: Blocker
>  Labels: correctness, pull-request-available
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Updated] (SPARK-45592) AQE and InMemoryTableScanExec correctness bug

2023-10-18 Thread ASF GitHub Bot (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-45592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated SPARK-45592:
---
Labels: pull-request-available  (was: )

> AQE and InMemoryTableScanExec correctness bug
> -
>
> Key: SPARK-45592
> URL: https://issues.apache.org/jira/browse/SPARK-45592
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.5.0
>Reporter: Emil Ejbyfeldt
>Priority: Major
>  Labels: pull-request-available
>
> The following query should return 100
> {code:java}
> import org.apache.spark.storage.StorageLevelval
> df = spark.range(0, 100, 1, 5).map(l => (l, l))
> val ee = df.select($"_1".as("src"), $"_2".as("dst"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> ee.count()
> val minNbrs1 = ee
>   .groupBy("src").agg(min(col("dst")).as("min_number"))
>   .persist(StorageLevel.MEMORY_AND_DISK)
> val join = ee.join(minNbrs1, "src")
> join.count(){code}
> but on spark 3.5.0 there is a correctness bug causing it to return `104800` 
> or some other smaller value.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org