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https://issues.apache.org/jira/browse/SPARK-28266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014048#comment-17014048
 ] 

Dongjoon Hyun commented on SPARK-28266:
---------------------------------------

In Apache Spark 2.4.4, I also cannot reproduce this issue.
{code}
scala> spark.version
res0: String = 2.4.4

scala> sql("create table t as select 1 as id")
res1: org.apache.spark.sql.DataFrame = []

scala> sql("desc extended t").show(false)
+----------------------------+----------------------------------------------------------+-------+
|col_name                    |data_type                                         
        |comment|
+----------------------------+----------------------------------------------------------+-------+
|id                          |int                                               
        |null   |
|                            |                                                  
        |       |
|# Detailed Table Information|                                                  
        |       |
|Database                    |default                                           
        |       |
|Table                       |t                                                 
        |       |
|Owner                       |dongjoon                                          
        |       |
|Created Time                |Sun Jan 12 22:26:18 PST 2020                      
        |       |
|Last Access                 |Wed Dec 31 16:00:00 PST 1969                      
        |       |
|Created By                  |Spark 2.4.4                                       
        |       |
|Type                        |MANAGED                                           
        |       |
|Provider                    |hive                                              
        |       |
|Table Properties            |[transient_lastDdlTime=1578896780]                
        |       |
|Statistics                  |2 bytes                                           
        |       |
|Location                    |file:/Users/dongjoon/spark-warehouse/t            
        |       |
|Serde Library               
|org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe        |       |
|InputFormat                 |org.apache.hadoop.mapred.TextInputFormat          
        |       |
|OutputFormat                
|org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat|       |
|Storage Properties          |[serialization.format=1]                          
        |       |
|Partition Provider          |Catalog                                           
        |       |
+----------------------------+----------------------------------------------------------+-------+

scala> sql("ALTER TABLE t SET SERDEPROPERTIES ( 
'path'='file:/Users/dongjoon/spark-warehouse/t' )")
res3: org.apache.spark.sql.DataFrame = []

scala> sql("select * from t").show
+---+
| id|
+---+
|  1|
+---+
{code}

> data duplication when `path` serde property is present
> ------------------------------------------------------
>
>                 Key: SPARK-28266
>                 URL: https://issues.apache.org/jira/browse/SPARK-28266
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 
> 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 3.0.0
>            Reporter: Ruslan Dautkhanov
>            Priority: Major
>              Labels: correctness
>
> Spark duplicates returned datasets when `path` serde is present in a parquet 
> table. 
> Confirmed versions affected: Spark 2.2, Spark 2.3, Spark 2.4.
> Confirmed unaffected versions: Spark 2.1 and earlier (tested with Spark 1.6 
> at least).
> Reproducer:
> {code:python}
> >>> spark.sql("create table ruslan_test.test55 as select 1 as id")
> DataFrame[]
> >>> spark.table("ruslan_test.test55").explain()
> == Physical Plan ==
> HiveTableScan [id#16], HiveTableRelation `ruslan_test`.`test55`, 
> org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id#16]
> >>> spark.table("ruslan_test.test55").count()
> 1
> {code}
> (all is good at this point, now exist session and run in Hive for example - )
> {code:sql}
> ALTER TABLE ruslan_test.test55 SET SERDEPROPERTIES ( 
> 'path'='hdfs://epsdatalake/hivewarehouse/ruslan_test.db/test55' )
> {code}
> So LOCATION and serde `path` property would point to the same location.
> Now see count returns two records instead of one:
> {code:python}
> >>> spark.table("ruslan_test.test55").count()
> 2
> >>> spark.table("ruslan_test.test55").explain()
> == Physical Plan ==
> *(1) FileScan parquet ruslan_test.test55[id#9] Batched: true, Format: 
> Parquet, Location: 
> InMemoryFileIndex[hdfs://epsdatalake/hivewarehouse/ruslan_test.db/test55, 
> hdfs://epsdatalake/hive..., PartitionFilters: [], PushedFilters: [], 
> ReadSchema: struct<id:int>
> >>>
> {code}
> Also notice that the presence of `path` serde property makes TABLE location 
> show up twice - 
> {quote}
> InMemoryFileIndex[hdfs://epsdatalake/hivewarehouse/ruslan_test.db/test55, 
> hdfs://epsdatalake/hive..., 
> {quote}
> We have some applications that create parquet tables in Hive with `path` 
> serde property
> and it makes data duplicate in query results. 
> Hive, Impala etc and Spark version 2.1 and earlier read such tables fine, but 
> not Spark 2.2 and later releases.



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