[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-10-04 Thread gatorsmile
Github user gatorsmile commented on the issue:

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@sandeep-katta Can you update the PR title?


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-27 Thread sandeep-katta
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I am running the same test case with hive version **1.2.1.spark2**  and it 
is passing,can I know with what hive version CI is running and how 
org.apache.hive.jdbc.HiveStatement  and external catalog are linked,I don't see 
any such code. cc @cloud-fan @gatorsmile 


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2018-09-26 Thread cloud-fan
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retest this please


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2018-09-26 Thread cloud-fan
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ok to test


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-25 Thread sandeep-katta
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cc @cloud-fan @srowen  I have updated the code,Please review


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread sandeep-katta
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seems @cloud-fan  comments are valid as it will not result in any behavior 
change, I will update the PR accordingly WDYT @srowen 


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread cloud-fan
Github user cloud-fan commented on the issue:

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This is a behavior change and makes us different from Hive. However I can't 
find a strong reason to do it. It's like importing a database, but we can't 
automatically create table entries in the metastore when creating a database 
with an existing location.

To me a more reasonable behavior is, fail earlier when creating a database 
with an existing and non-empty location.


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2018-09-24 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/22466
  
Owp, I've been misreading that several times. Right. Well by analogy, if a 
database has a non default LOCATION then so do it's tables, and they are 
treated like EXTERNAL tables. Dropping the DB means dropping the tables, and 
dropping those tables doesn't delete data. So should the same happen for DBs? 
Seems sensible, because the DB directory might not even be empty.

Still I feel like I'm missing something if it only comes up in the case 
that two DBs have the same location, which is going to cause a bunch of other 
problems. 

But is it the right change simply because it's consistent with how dropping 
tables works?


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/22466
  
> That link says Hive does support EXTERNAL. What am I missing?

Hive supports `EXTERNAL` only for tables, not databases.
The CREATE TABLE syntax:
```
CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name ...
```
The CREATE DATABASE syntax:
```
CREATE (DATABASE|SCHEMA) [IF NOT EXISTS] database_name ...
```


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/22466
  
That link says Hive does support EXTERNAL. What am I missing? Well, in any 
event we aren't contemplating a behavior change here. 

If you delete a table with LOCATION specified, what should happen? Hive 
would delete it I guess... unless it's EXTERNAL. Looks like Spark would delete 
it even when it's in an 'external' location. 

If these are conflated I guess we weigh the surprise in not deleting 
'local' locations for data when a table is dropped, vs surprise in deleting 
'external' locations for data.


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/22466
  
yea, in Spark we conflate the two and treat a table as external if location 
is specified.

However, Hive doesn't have external database, see: 
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-Create/Drop/Alter/UseDatabase

I don't want to introduce unnecessary behavior difference from hive, and I 
feel it's not very useful to have external database. Although your table files 
can be in an existing folder, but LIST TABLES will not work.


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/22466
  
There is ... see 
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-ManagedandExternalTables

I think Spark conflates the two. It's rare (?) but possible to specify a 
custom location of a managed table, but, typically occurs for `EXTERNAL` 
tables. So maybe this is OK.

```
  private def createTable(tableIdent: TableIdentifier): Unit = {
val storage = 
DataSource.buildStorageFormatFromOptions(extraOptions.toMap)
val tableType = if (storage.locationUri.isDefined) {
  CatalogTableType.EXTERNAL
} else {
  CatalogTableType.MANAGED
}
```

And in `SqlParser`:

```
// If location is defined, we'll assume this is an external table.
// Otherwise, we may accidentally delete existing data.
val tableType = if (external || location.isDefined) {
  CatalogTableType.EXTERNAL
} else {
  CatalogTableType.MANAGED
}
```

So if `LOCATION` implies `EXTERNAL` in Spark, then I get this. `EXTERNAL` 
tables shouldn't be deleted.

I agree that the Hive impl doesn't seem to take this into account, on the 
code paths that call `dropDatabase`. CC @andrewor14 in case he is available to 
comment on the original implementaiton. WDYT @cloud-fan 


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread cloud-fan
Github user cloud-fan commented on the issue:

https://github.com/apache/spark/pull/22466
  
I'm not sure if there is a concept called "external database" in Hive...


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-24 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/22466
  
We should look at Spark documentation, and Hive, if any, to figure out what 
the right behavior is here. Spark generally follows Hive. See 
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-CreateTableCreate/Drop/TruncateTable
  I think this is, further, conflating what `LOCATION` and `EXTERNAL` does. I 
agree that external DB files shouldn't be deleted, but not simply those 
specified by `LOCATION`. At least that is my understanding.
@yhuai or @cloud-fan or @clockfly might know more.


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-23 Thread sandeep-katta
Github user sandeep-katta commented on the issue:

https://github.com/apache/spark/pull/22466
  
> See JIRA, I don't think this should be merged.

I have referred Databricks doc 
https://docs.databricks.com/spark/latest/spark-sql/language-manual/create-database.html
 and implemented accordingly.Let me know if any suggesstion


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-23 Thread sandeep-katta
Github user sandeep-katta commented on the issue:

https://github.com/apache/spark/pull/22466
  
Yes I agree 2 database should not point to same path,**currently this is 
the loop hole in spark which is required to fix**.If this solution is not okay 
,then we can append the dbname.db to the location given by the user
for e.g
create database db1 location /user/hive/warehouse
then the location of the DB should be /user/hive/warehouse/db1.db




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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-21 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/22466
  
See JIRA, I don't think this should be merged.


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[GitHub] spark issue #22466: [SPARK-25464][SQL]On dropping the Database it will drop ...

2018-09-21 Thread sujith71955
Github user sujith71955 commented on the issue:

https://github.com/apache/spark/pull/22466
  
@srowen @HyukjinKwon  I think this can be a risk if the location of the 
newly created database points to an existing one, if user drop the db both the 
db data will be lost .


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