[jira] [Commented] (SPARK-27089) Loss of precision during decimal division

2020-09-08 Thread Daeho Ro (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-27089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17192566#comment-17192566
 ] 

Daeho Ro commented on SPARK-27089:
--

It seems that the bug persists on the spark version 3.0.0

> Loss of precision during decimal division
> -
>
> Key: SPARK-27089
> URL: https://issues.apache.org/jira/browse/SPARK-27089
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0, 2.4.0
>Reporter: ylo0ztlmtusq
>Priority: Major
>
> Spark looses decimal places when dividing decimal numbers.
>  
> Expected behavior (In Spark 2.2.3 or before)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> 19/03/07 21:23:51 WARN ObjectStore: Failed to get database global_temp, 
> returning NoSuchObjectException
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Current behavior (In Spark 2.3.2 and later)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Seems to caused by {{promote_precision(38, 6) }}
>  
> {code:java}
> scala> spark.sql(sql).explain(true)
> == Parsed Logical Plan ==
> Project [cast((cast(3 as decimal(38,14)) / cast(9 as decimal(38,14))) as 
> decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Analyzed Logical Plan ==
> val: decimal(38,14)
> Project [cast(CheckOverflow((promote_precision(cast(cast(3 as decimal(38,14)) 
> as decimal(38,14))) / promote_precision(cast(cast(9 as decimal(38,14)) as 
> decimal(38,14, DecimalType(38,6)) as decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Optimized Logical Plan ==
> Project [0.33 AS val#20]
> +- OneRowRelation
> == Physical Plan ==
> *(1) Project [0.33 AS val#20]
> +- Scan OneRowRelation[]
> {code}
>  
> Source https://stackoverflow.com/q/55046492



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[jira] [Commented] (SPARK-27089) Loss of precision during decimal division

2019-03-20 Thread Jared Leable (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-27089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16797111#comment-16797111
 ] 

Jared Leable commented on SPARK-27089:
--

I validated that setting spark.sql.decimalOperations.allowPrecisionLoss=false 
returns the expected value.

> Loss of precision during decimal division
> -
>
> Key: SPARK-27089
> URL: https://issues.apache.org/jira/browse/SPARK-27089
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0, 2.4.0
>Reporter: ylo0ztlmtusq
>Priority: Major
>
> Spark looses decimal places when dividing decimal numbers.
>  
> Expected behavior (In Spark 2.2.3 or before)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> 19/03/07 21:23:51 WARN ObjectStore: Failed to get database global_temp, 
> returning NoSuchObjectException
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Current behavior (In Spark 2.3.2 and later)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Seems to caused by {{promote_precision(38, 6) }}
>  
> {code:java}
> scala> spark.sql(sql).explain(true)
> == Parsed Logical Plan ==
> Project [cast((cast(3 as decimal(38,14)) / cast(9 as decimal(38,14))) as 
> decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Analyzed Logical Plan ==
> val: decimal(38,14)
> Project [cast(CheckOverflow((promote_precision(cast(cast(3 as decimal(38,14)) 
> as decimal(38,14))) / promote_precision(cast(cast(9 as decimal(38,14)) as 
> decimal(38,14, DecimalType(38,6)) as decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Optimized Logical Plan ==
> Project [0.33 AS val#20]
> +- OneRowRelation
> == Physical Plan ==
> *(1) Project [0.33 AS val#20]
> +- Scan OneRowRelation[]
> {code}
>  
> Source https://stackoverflow.com/q/55046492



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[jira] [Commented] (SPARK-27089) Loss of precision during decimal division

2019-03-18 Thread Marco Gaido (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-27089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16794984#comment-16794984
 ] 

Marco Gaido commented on SPARK-27089:
-

You can set: {{spark.sql.decimalOperations.allowPrecisionLoss}} to {{false}} 
and you will get the original behavior. Please see SPARK-22036 for more details.

> Loss of precision during decimal division
> -
>
> Key: SPARK-27089
> URL: https://issues.apache.org/jira/browse/SPARK-27089
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0, 2.4.0
>Reporter: ylo0ztlmtusq
>Priority: Major
>
> Spark looses decimal places when dividing decimal numbers.
>  
> Expected behavior (In Spark 2.2.3 or before)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> 19/03/07 21:23:51 WARN ObjectStore: Failed to get database global_temp, 
> returning NoSuchObjectException
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Current behavior (In Spark 2.3.2 and later)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Seems to caused by {{promote_precision(38, 6) }}
>  
> {code:java}
> scala> spark.sql(sql).explain(true)
> == Parsed Logical Plan ==
> Project [cast((cast(3 as decimal(38,14)) / cast(9 as decimal(38,14))) as 
> decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Analyzed Logical Plan ==
> val: decimal(38,14)
> Project [cast(CheckOverflow((promote_precision(cast(cast(3 as decimal(38,14)) 
> as decimal(38,14))) / promote_precision(cast(cast(9 as decimal(38,14)) as 
> decimal(38,14, DecimalType(38,6)) as decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Optimized Logical Plan ==
> Project [0.33 AS val#20]
> +- OneRowRelation
> == Physical Plan ==
> *(1) Project [0.33 AS val#20]
> +- Scan OneRowRelation[]
> {code}
>  
> Source https://stackoverflow.com/q/55046492



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[jira] [Commented] (SPARK-27089) Loss of precision during decimal division

2019-03-07 Thread Shivu Sondur (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-27089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16787374#comment-16787374
 ] 

Shivu Sondur commented on SPARK-27089:
--

i am checking this issue

> Loss of precision during decimal division
> -
>
> Key: SPARK-27089
> URL: https://issues.apache.org/jira/browse/SPARK-27089
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.3.0, 2.4.0
>Reporter: ylo0ztlmtusq
>Priority: Major
>
> Spark looses decimal places when dividing decimal numbers.
>  
> Expected behavior (In Spark 2.2.3 or before)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> 19/03/07 21:23:51 WARN ObjectStore: Failed to get database global_temp, 
> returning NoSuchObjectException
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Current behavior (In Spark 2.3.2 and later)
>  
> {code:java}
> scala> val sql = """select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val"""
> sql: String = select cast(cast(3 as decimal(38,14)) / cast(9 as 
> decimal(38,14)) as decimal(38,14)) val
> scala> spark.sql(sql).show
> ++
> | val|
> ++
> |0.33|
> ++
> {code}
>  
> Seems to caused by {{promote_precision(38, 6) }}
>  
> {code:java}
> scala> spark.sql(sql).explain(true)
> == Parsed Logical Plan ==
> Project [cast((cast(3 as decimal(38,14)) / cast(9 as decimal(38,14))) as 
> decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Analyzed Logical Plan ==
> val: decimal(38,14)
> Project [cast(CheckOverflow((promote_precision(cast(cast(3 as decimal(38,14)) 
> as decimal(38,14))) / promote_precision(cast(cast(9 as decimal(38,14)) as 
> decimal(38,14, DecimalType(38,6)) as decimal(38,14)) AS val#20]
> +- OneRowRelation
> == Optimized Logical Plan ==
> Project [0.33 AS val#20]
> +- OneRowRelation
> == Physical Plan ==
> *(1) Project [0.33 AS val#20]
> +- Scan OneRowRelation[]
> {code}
>  
> Source https://stackoverflow.com/q/55046492



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