Github user dongjoon-hyun commented on the issue:
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This PR grows too much. Sometime, scrolling is lack. I close this and open
a new one https://github.com/apache/spark/pull/14426 .
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Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan .
Could you review this PR again please?
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Oh, the one failure is due to a new MAPJOIN testcase in the master branch
(I added yesterday.)
I'll rebase and update that, too.
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Hi, the followings are updated.
- Hints are not propagated into subqueries.
- Add new testcases
- `SELECT /*+ MAPJOIN(t1) */ * FROM t1 JOIN t1 JOIN t1 JOIN t1` (First
`t1`)
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Thank you for guidance, @cloud-fan !
I'll implement like that.
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`SELECT /*+ MAPJOIN(t1) */ * FROM (SELECT * FROM t1) x JOIN t2;`
yea I think this one should be noop
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At the implementation side, blocking all subqueries are easiest.
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Thank you, @hvanhovell .
Then should we block all subquery or allow the following cases?
* SELECT /*+ MAPJOIN(t1) */ * FROM (SELECT * FROM t1) x JOIN t2;
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Github user hvanhovell commented on the issue:
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I agree with @cloud-fan. It is confusing that the hint defined in the
top-level query gets applied to a subquery.
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Hmm, maybe more sophisticate method is needed for both the following cases.
* SELECT /*+ MAPJOIN(t1) */ * FROM (SELECT * FROM t1) x JOIN t1
* SELECT /*+ MAPJOIN(t1) */ * FROM (SELEC
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For @cloud-fan 's choice, I think I can block the subqueries which are
aliased by users.
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For old hives, I can get the binary after Hive 1.0.
http://www-us.apache.org/dist/hive/
The above result was Hive 2.0 and 1.2. I think Hive 1.0 and 1.1 will be the
same as expected
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Thank you for giving opinion.
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Github user cloud-fan commented on the issue:
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cc @rxin @hvanhovell what do you think of this case?
`SELECT /*+ MAPJOIN(t1) */ * FROM (SELECT * FROM t1) x JOIN t1`
Applying the hint to the `t1` after JOIN looks more intuitive to me.
Github user dongjoon-hyun commented on the issue:
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For `Table-Level Optimizer Hints` of MySQL, it applied to all table with
the same name.
> The hint applies to all tables that it names
http://dev.mysql.com/doc/refman/5.7/en/optimizer-h
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For the first case, I intentionally turn off the option to see the effect
of the hint only.
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For current hive, the `MAP_JOIN` hint is ignored totally right? How about
old hive(or other databases that support MAP_JOIN or BROADCAST_JOIN hint)? I
just wanna check the common rule to apply rel
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Since `set hive.auto.convert.join=true;` is default, I think mapjoin hint
seems to work.
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When we turn on the option `true`, `t1` is broadcasted.
```
hive> set hive.auto.convert.join=true;
hive> EXPLAIN SELECT /*+ MAPJOIN(t1) */ * FROM (select * from t1) x, t2;
Warnin
Github user dongjoon-hyun commented on the issue:
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The difference of JOIN[5] and JOIN[5] is just due to the following.
* JOIN[5]
```
TableScan
alias: t1
Statistics: Num rows: 1 Data size: 1 B
Github user dongjoon-hyun commented on the issue:
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Oh, thank you, @cloud-fan . For current Hive, it is ignored. The followings
have the same plans.
- SELECT * FROM (SELECT * FROM t1) x, t1;
- SELECT /*+ MAPJOIN(t1) */ * FROM (SELECT * F
Github user cloud-fan commented on the issue:
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for case 2, what does hive(or other databases that support sql hint) do?
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Hi, @cloud-fan , @yhuai , @hvanhovell , and @rxin .
The remaining comment is about matching algorithm. While digging Hive's
dead code, I suddenly feel it's useless because Hive does no
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Hi, @cloud-fan .
Could you review this `Hint` PR again when you have some time?
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Hi, @cloud-fan .
Now, it wraps the whole query.
This should be done at your first comment.
Sorry for delay.
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Thank you for the great work by @dongjoon-hyun !
Although the code changes are a lot, but most are test cases. The code is
ready to review! @rxin @hvanhovell
Also cc @cloud-fan
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Thank you for review always, @gatorsmile .
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Thanks for your work! Will try to review it again when the comments are
addressed.
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Yeah, just answered the JIRA. Thanks!
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There is also related issue you might be interested.
https://issues.apache.org/jira/browse/SPARK-16601
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Hive and Spark will raise `ParseException`. :)
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Github user gatorsmile commented on the issue:
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@dongjoon-hyun Finished the fourth pass. Sorry, it took a long time to
review it. So many meetings...
Just a question, what is the output from Hive when users use a fully
qualified name
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Thank you every time, @gatorsmile . I'll start to work on your comments now.
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Hi, @rxin and @gatorsmile .
Now, it's ready for review again.
- `SubstituteHints` is minimized.
- `MetastoreRelation` is supported.
- This PR originally handles all the tables
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Github user dongjoon-hyun commented on the issue:
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Right, there is `table` API, too. Thank you, I'll add that, too.
By the way, I still in the downtown. I need to go home for dinner. I'll
take care that tonight.
Thank you again.
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Github user gatorsmile commented on the issue:
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For your reference, below is a simple case if users want to do it using
dataframe
```Scala
sql("CREATE TABLE tab1(c1 int)")
val df = spark.read.table("tab1")
df.join(broadcast(df))
Github user dongjoon-hyun commented on the issue:
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Yep. I made that case. Thanks!
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