[ 
https://issues.apache.org/jira/browse/SPARK-19971?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Tom Tang updated SPARK-19971:
-----------------------------
    Description: 
Let say we have a csv /tmp/1.csv :
{code}
cid,name
-100224910923912596,jack
-100224910923912595,tom
-1,rose
-2,marry
-100,rose1
-101,rose2
{code}

Use following SQL to define a view in Spark-SQL:
{code}
CREATE TEMPORARY VIEW T
(
  `cid` string,
  `name` string
)
USING CSV
OPTIONS (
  path "/tmp/1.csv"
);
{code}

Statement 1:
{code}select * from T where cid = -100224910923912596; {code}

Returns:
{code}
-100224910923912596     jack
-100224910923912595     tom
{code}

Statement 2:
{code}select * from T where cid = -100224910923912599;{code}
it also returns:
{code}
-100224910923912596     jack
-100224910923912595     tom
{code}

Unless you do, 
{code}select * from T where cid = '-100224910923912596';{code}
It returns: 
{code}
-100224910923912596     jack
{code}

However, i think the expected behaviour for statement 1 and 2 is pretty wired.

Statement 4
{quote}select * from T where cid = -100;{quote}
Returns:
{quote}-100     rose1{quote}

And this just affect the large number, the smaller one seemed to be good.

Does that look like a bug to you folks ?

Thanks.

  was:
Let say we have a csv /tmp/1.csv :
{quote}
cid,name
-100224910923912596,jack
-100224910923912595,tom
-1,rose
-2,marry
-100,rose1
-101,rose2
{quote}

Use following SQL to define a view in Spark-SQL:
CREATE TEMPORARY VIEW T
(
  `cid` string,
  `name` string
)
USING CSV
OPTIONS (
  path "/tmp/1.csv"
);

Statement 1:
{quote}select * from T where cid = -100224910923912596; {quote}

Returns:
{quote}
-100224910923912596     jack
-100224910923912595     tom
{quote}

Statement 2:
{quote}select * from T where cid = -100224910923912599;{quote}
it also returns:
{quote}
-100224910923912596     jack
-100224910923912595     tom
{quote}

Unless you do, 
{quote}select * from T where cid = '-100224910923912596';{quote}
It returns: 
{quote}
-100224910923912596     jack
{quote}

However, i think the expected behaviour for statement 1 and 2 is pretty wired.

Statement 4
{quote}select * from T where cid = -100;{quote}
Returns:
{quote}-100     rose1{quote}

And this just affect the large number, the smaller one seemed to be good.

Does that look like a bug to you folks ?

Thanks.


> Wired SELECT equal behaviour. 
> ------------------------------
>
>                 Key: SPARK-19971
>                 URL: https://issues.apache.org/jira/browse/SPARK-19971
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>         Environment: macOS Sierra
>            Reporter: Tom Tang
>            Priority: Critical
>
> Let say we have a csv /tmp/1.csv :
> {code}
> cid,name
> -100224910923912596,jack
> -100224910923912595,tom
> -1,rose
> -2,marry
> -100,rose1
> -101,rose2
> {code}
> Use following SQL to define a view in Spark-SQL:
> {code}
> CREATE TEMPORARY VIEW T
> (
>   `cid` string,
>   `name` string
> )
> USING CSV
> OPTIONS (
>   path "/tmp/1.csv"
> );
> {code}
> Statement 1:
> {code}select * from T where cid = -100224910923912596; {code}
> Returns:
> {code}
> -100224910923912596   jack
> -100224910923912595   tom
> {code}
> Statement 2:
> {code}select * from T where cid = -100224910923912599;{code}
> it also returns:
> {code}
> -100224910923912596   jack
> -100224910923912595   tom
> {code}
> Unless you do, 
> {code}select * from T where cid = '-100224910923912596';{code}
> It returns: 
> {code}
> -100224910923912596   jack
> {code}
> However, i think the expected behaviour for statement 1 and 2 is pretty wired.
> Statement 4
> {quote}select * from T where cid = -100;{quote}
> Returns:
> {quote}-100   rose1{quote}
> And this just affect the large number, the smaller one seemed to be good.
> Does that look like a bug to you folks ?
> Thanks.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

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

Reply via email to