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https://issues.apache.org/jira/browse/SPARK-25135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16601728#comment-16601728
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Yuming Wang commented on SPARK-25135:
-------------------------------------

[https://github.com/apache/spark/pull/22311]

[https://github.com/apache/spark/pull/22287]

We are trying to fix it.

 

> insert datasource table may all null when select from view on parquet
> ---------------------------------------------------------------------
>
>                 Key: SPARK-25135
>                 URL: https://issues.apache.org/jira/browse/SPARK-25135
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0, 2.3.1
>            Reporter: Yuming Wang
>            Priority: Blocker
>              Labels: Parquet, correctness
>
> This happens on parquet.
> How to reproduce in parquet.
> {code:scala}
> val path = "/tmp/spark/parquet"
> val cnt = 30
> spark.range(cnt).selectExpr("cast(id as bigint) as col1", "cast(id as bigint) 
> as col2").write.mode("overwrite").parquet(path)
> spark.sql(s"CREATE TABLE table1(col1 bigint, col2 bigint) using parquet 
> location '$path'")
> spark.sql("create view view1 as select col1, col2 from table1 where col1 > 
> -20")
> spark.sql("create table table2 (COL1 BIGINT, COL2 BIGINT) using parquet")
> spark.sql("insert overwrite table table2 select COL1, COL2 from view1")
> spark.table("table2").show
> {code}
> FYI, the following is orc.
> {code}
> scala> val path = "/tmp/spark/orc"
> scala> val cnt = 30
> scala> spark.range(cnt).selectExpr("cast(id as bigint) as col1", "cast(id as 
> bigint) as col2").write.mode("overwrite").orc(path)
> scala> spark.sql(s"CREATE TABLE table1(col1 bigint, col2 bigint) using orc 
> location '$path'")
> scala> spark.sql("create view view1 as select col1, col2 from table1 where 
> col1 > -20")
> scala> spark.sql("create table table2 (COL1 BIGINT, COL2 BIGINT) using orc")
> scala> spark.sql("insert overwrite table table2 select COL1, COL2 from view1")
> scala> spark.table("table2").show
> +----+----+
> |COL1|COL2|
> +----+----+
> |  15|  15|
> |  16|  16|
> |  17|  17|
> ...
> {code}



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