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https://issues.apache.org/jira/browse/SPARK-36604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17407068#comment-17407068
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Senthil Kumar commented on SPARK-36604:
---------------------------------------

[~yghu] I tested this scenario in Spark2.4, but I don't see this issue is 
occurring.   Are you seeing this issue only in Spark 3.1.1? 

 

 
{panel}


 

_scala> spark.sql("create table c(a timestamp)")_

_res16: org.apache.spark.sql.DataFrame = []_

 __ 

_scala> spark.sql("insert into c select '2021-08-15 15:30:01'")_

_res17: org.apache.spark.sql.DataFrame = []_

 __ 

_scala> spark.sql("analyze table c compute statistics for columns a")_

_res18: org.apache.spark.sql.DataFrame = []_

 __ 

_scala> spark.sql("desc formatted c a").show(true)_

_+--------------+--------------------+_

_|     info_name|          info_value|_

_+--------------+--------------------+_

_|      col_name|                   a|_

_|     data_type|           timestamp|_

_|       comment|                NULL|_

_|           min|2021-08-15 15:30:...|_

_|           max|2021-08-15 15:30:...|_

_|     num_nulls|                   0|_

_|distinct_count|                   1|_

_|   avg_col_len|                   8|_

_|   max_col_len|                   8|_

_|     histogram|                NULL|_

_+--------------+--------------------+_

 
{panel}
 

> timestamp type column analyze result is wrong
> ---------------------------------------------
>
>                 Key: SPARK-36604
>                 URL: https://issues.apache.org/jira/browse/SPARK-36604
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.1.1, 3.1.2
>         Environment: Spark 3.1.1
>            Reporter: YuanGuanhu
>            Priority: Major
>
> when we create table with timestamp column type, the min and max data of the 
> analyze result for the timestamp column is wrong
> eg:
> {code}
> > select * from a;
> {code}
> {code}
> 2021-08-15 15:30:01
> Time taken: 2.789 seconds, Fetched 1 row(s)
> spark-sql> desc formatted a a;
> col_name a
> data_type timestamp
> comment NULL
> min 2021-08-15 07:30:01.000000
> max 2021-08-15 07:30:01.000000
> num_nulls 0
> distinct_count 1
> avg_col_len 8
> max_col_len 8
> histogram NULL
> Time taken: 0.278 seconds, Fetched 10 row(s)
> spark-sql> desc a;
> a timestamp NULL
> Time taken: 1.432 seconds, Fetched 1 row(s)
> {code}
>  
> reproduce step:
> {code}
> create table a(a timestamp);
> insert into a select '2021-08-15 15:30:01';
> analyze table a compute statistics for columns a;
> desc formatted a a;
> select * from a;
> {code}



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