[ 
https://issues.apache.org/jira/browse/SPARK-18209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15626838#comment-15626838
 ] 

Reynold Xin edited comment on SPARK-18209 at 11/1/16 10:29 PM:
---------------------------------------------------------------

A practical (positive) consequence of this is query expansion when we have 
nested views:
{code}
create table T(a int)
create view A as select * from T
view B = select * from A
{code}
As it stands, the definition of B is frozen at view creation time, so
{code}
drop view A
create view A as select * from T2
select * from B
{code}
would return data from T even though the definition of A has changed.
If we only expand view definition at query time, then the above would return 
data from T2


was (Author: vssrinath):
A practical (positive) consequence of this is query expansion when we have 
nested views:
{nocode}
create table T(a int)
create view A as select * from T
view B = select * from A
{nocode}
As it stands, the definition of B is frozen at view creation time, so
{nocode}
drop view A
create view A as select * from T2
select * from B
{nocode}
would return data from T even though the definition of A has changed.
If we only expand view definition at query time, then the above would return 
data from T2

> More robust view canonicalization without full SQL expansion
> ------------------------------------------------------------
>
>                 Key: SPARK-18209
>                 URL: https://issues.apache.org/jira/browse/SPARK-18209
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Reynold Xin
>            Priority: Critical
>
> Spark SQL currently stores views by analyzing the provided SQL and then 
> generating fully expanded SQL out of the analyzed logical plan. This is 
> actually a very error prone way of doing it, because:
> 1. It is non-trivial to guarantee that the generated SQL is correct without 
> being extremely verbose, given the current set of operators.
> 2. We need extensive testing for all combination of operators.
> 3. Whenever we introduce a new logical plan operator, we need to be super 
> careful because it might break SQL generation. This is the main reason 
> broadcast join hint has taken forever to be merged because it is very 
> difficult to guarantee correctness.
> Given the two primary reasons to do view canonicalization is to provide the 
> context for the database as well as star expansion, I think we can this 
> through a simpler approach, by taking the user given SQL, analyze it, and 
> just wrap the original SQL with a SELECT clause at the outer and store the 
> database as a hint.
> For example, given the following view creation SQL:
> {code}
> USE DATABASE my_db;
> CREATE TABLE my_table (id int, name string);
> CREATE VIEW my_view AS SELECT * FROM my_table WHERE id > 10;
> {code}
> We store the following SQL instead:
> {code}
> SELECT /*+ current_db: `my_db` */ id, name FROM (SELECT * FROM my_table WHERE 
> id > 10);
> {code}
> During parsing time, we expand the view along using the provided database 
> context.
> (We don't need to follow exactly the same hint, as I'm merely illustrating 
> the high level approach here.)
> Note that there is a chance that the underlying base table(s)' schema change 
> and the stored schema of the view might differ from the actual SQL schema. In 
> that case, I think we should throw an exception at runtime to warn users. 
> This exception can be controlled by a flag.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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

Reply via email to