[GitHub] [spark] maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395977
 
 
   Yea, I think this behaivour is weird, but we just follow the hive behviour;
   
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala#L948-L950
   
   We are planning to support ansi-compatible type coercion, so I think this 
issue will be resolved if that supported. cc: @gengliangwang @cloud-fan 


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[GitHub] [spark] 07ARB edited a comment on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
07ARB edited a comment on issue #27024: [SPARK-29854]lpad and rpad built in 
function should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395593
 
 
   yes , we need to discuss whether we need to handle or not.
   but what i feel, we should show error message, so that end user will get 
some meaningful information.


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[GitHub] [spark] 07ARB commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
07ARB commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395593
 
 
   yes , we need to discuss whether we need to handle or not.


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[GitHub] [spark] maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395503
 
 
   But, there are many functions having the same behaivour? e.g.,
   ```
   scala> sql("SELECT substring_index('www.apache.org', '.', 'Must be 
integer')").show()
   ++
   |substring_index(www.apache.org, ., CAST(Must be integer AS INT))|
   ++
   |null|
   ++
   ```
   Actually, implicit casts do so.


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[GitHub] [spark] SparkQA commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
SparkQA commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395415
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

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[GitHub] [spark] SparkQA commented on issue #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

2019-12-27 Thread GitBox
SparkQA commented on issue #27027: [SPARK-30370][SQL] Update SqlBase.g4 to 
combine namespace and database tokens.
URL: https://github.com/apache/spark/pull/27027#issuecomment-569395194
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
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[GitHub] [spark] 07ARB commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
07ARB commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569395064
 
 
   @maropu , Thank you


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
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built in function should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569246559
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function should throw Error or Exception for invalid length value

2019-12-27 Thread GitBox
maropu commented on issue #27024: [SPARK-29854]lpad and rpad built in function 
should throw Error or Exception for invalid length value
URL: https://github.com/apache/spark/pull/27024#issuecomment-569394962
 
 
   ok to test


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[GitHub] [spark] gatorsmile commented on a change in pull request #26361: [SPARK-29630][SQL] Disallow creating a permanent view that references a temporary view in an expression

2019-12-27 Thread GitBox
gatorsmile commented on a change in pull request #26361: [SPARK-29630][SQL] 
Disallow creating a permanent view that references a temporary view in an 
expression
URL: https://github.com/apache/spark/pull/26361#discussion_r361781389
 
 

 ##
 File path: 
sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out
 ##
 @@ -803,61 +806,77 @@ Not allowed to create a permanent view `temporal4` by 
referencing a temporary vi
 
 
 -- !query 71
-CREATE TABLE tbl1 ( a int, b int) using parquet
+CREATE VIEW temporal5 AS SELECT * FROM t1 WHERE num IN (SELECT num FROM t1 
WHERE EXISTS (SELECT 1 FROM tt))
 -- !query 71 schema
 struct<>
 -- !query 71 output
-
+org.apache.spark.sql.AnalysisException
+Not allowed to create a permanent view `temporal5` by referencing a temporary 
view `tt`;
 
 Review comment:
   Permanent views can also reference to tables. 
   
   There exists a general issue in our existing error messages. We do not have 
a message reference book. When users hit the unclear error messages, what they 
can do is to read the source code or try different options until it works. This 
is not natural to end users who have zero background about Spark SQL. We need 
to correct them one by one.  


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[GitHub] [spark] SparkQA commented on issue #26589: [SPARK-29947][SQL] Improve ResolveRelations performance

2019-12-27 Thread GitBox
SparkQA commented on issue #26589: [SPARK-29947][SQL] Improve ResolveRelations 
performance
URL: https://github.com/apache/spark/pull/26589#issuecomment-569393423
 
 
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[GitHub] [spark] wangyum commented on a change in pull request #26589: [SPARK-29947][SQL] Improve ResolveRelations performance

2019-12-27 Thread GitBox
wangyum commented on a change in pull request #26589: [SPARK-29947][SQL] 
Improve ResolveRelations performance
URL: https://github.com/apache/spark/pull/26589#discussion_r361780484
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
 ##
 @@ -847,21 +847,32 @@ class Analyzer(
   case _ => plan
 }
 
-def apply(plan: LogicalPlan): LogicalPlan = 
ResolveTempViews(plan).resolveOperatorsUp {
-  case i @ InsertIntoStatement(table, _, _, _, _) if i.query.resolved =>
-val relation = table match {
-  case u @ UnresolvedRelation(SessionCatalogAndIdentifier(catalog, 
ident)) =>
-lookupRelation(catalog, ident, recurse = false).getOrElse(u)
-  case other => other
-}
+def apply(plan: LogicalPlan): LogicalPlan = {
+  var logicalPlans = Map.empty[UnresolvedRelation, LogicalPlan]
 
 Review comment:
   Added comment to doc:
   
https://github.com/apache/spark/blob/07e6b7f7529f07a73dae9baede5e2046a18e35bc/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L94-L96


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[GitHub] [spark] wangyum commented on a change in pull request #26589: [SPARK-29947][SQL] Improve ResolveRelations performance

2019-12-27 Thread GitBox
wangyum commented on a change in pull request #26589: [SPARK-29947][SQL] 
Improve ResolveRelations performance
URL: https://github.com/apache/spark/pull/26589#discussion_r361780484
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
 ##
 @@ -847,21 +847,32 @@ class Analyzer(
   case _ => plan
 }
 
-def apply(plan: LogicalPlan): LogicalPlan = 
ResolveTempViews(plan).resolveOperatorsUp {
-  case i @ InsertIntoStatement(table, _, _, _, _) if i.query.resolved =>
-val relation = table match {
-  case u @ UnresolvedRelation(SessionCatalogAndIdentifier(catalog, 
ident)) =>
-lookupRelation(catalog, ident, recurse = false).getOrElse(u)
-  case other => other
-}
+def apply(plan: LogicalPlan): LogicalPlan = {
+  var logicalPlans = Map.empty[UnresolvedRelation, LogicalPlan]
 
 Review comment:
   Add comment to doc:
   
https://github.com/apache/spark/blob/07e6b7f7529f07a73dae9baede5e2046a18e35bc/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L94-L96


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[GitHub] [spark] 07ARB commented on issue #26477: [SPARK-29776][SQL] rpad and lpad should return NULL when padstring parameter is empty

2019-12-27 Thread GitBox
07ARB commented on issue #26477: [SPARK-29776][SQL] rpad and lpad should return 
NULL when padstring parameter is empty
URL: https://github.com/apache/spark/pull/26477#issuecomment-569389259
 
 
   Thank you all, for such a good discussion, If we are not finding strong 
reason to change old behaviours, then we can close this PR.
   One more issue related to Lpad/Rpad, please review 
https://github.com/apache/spark/pull/27024


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[GitHub] [spark] SparkQA removed a comment on issue #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec

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[GitHub] [spark] SparkQA commented on issue #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec

2019-12-27 Thread GitBox
SparkQA commented on issue #27019: [SPARK-30027][SQL] Support codegen for 
aggregate filters in HashAggregateExec
URL: https://github.com/apache/spark/pull/27019#issuecomment-569389028
 
 
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[GitHub] [spark] SparkQA commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in SimplifyBinaryComparison optimization

2019-12-27 Thread GitBox
SparkQA commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in 
SimplifyBinaryComparison optimization
URL: https://github.com/apache/spark/pull/27008#issuecomment-569388903
 
 
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[GitHub] [spark] maropu commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in SimplifyBinaryComparison optimization

2019-12-27 Thread GitBox
maropu commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in 
SimplifyBinaryComparison optimization
URL: https://github.com/apache/spark/pull/27008#issuecomment-569388734
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #25399: [SPARK-28670][SQL] create function should thrown Exception if the resource is not found

2019-12-27 Thread GitBox
SparkQA commented on issue #25399: [SPARK-28670][SQL] create function should 
thrown Exception if the resource is not found
URL: https://github.com/apache/spark/pull/25399#issuecomment-569387825
 
 
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[GitHub] [spark] maropu closed pull request #25399: [SPARK-28670][SQL] create function should thrown Exception if the resource is not found

2019-12-27 Thread GitBox
maropu closed pull request #25399: [SPARK-28670][SQL] create function should 
thrown Exception if the resource is not found
URL: https://github.com/apache/spark/pull/25399
 
 
   


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[GitHub] [spark] maropu commented on issue #25399: [SPARK-28670][SQL] create function should thrown Exception if the resource is not found

2019-12-27 Thread GitBox
maropu commented on issue #25399: [SPARK-28670][SQL] create function should 
thrown Exception if the resource is not found
URL: https://github.com/apache/spark/pull/25399#issuecomment-569387875
 
 
   Thanks! Merged to master.


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[GitHub] [spark] sandeep-katta opened a new pull request #25399: [SPARK-28670][SQL] create function should thrown Exception if the resource is not found

2019-12-27 Thread GitBox
sandeep-katta opened a new pull request #25399: [SPARK-28670][SQL] create 
function should thrown Exception if the resource is not found
URL: https://github.com/apache/spark/pull/25399
 
 
   ## What changes were proposed in this pull request?
   
   Create temporary or permanent function it should throw AnalysisException if 
the resource is not found. Need to keep behavior consistent across permanent 
and temporary functions.
   
   ## How was this patch tested?
   
   Added UT and also tested manually
   
   **Before Fix**
   If the UDF resource is not present then on creation of temporary function it 
throws AnalysisException where as for permanent function it does not throw. 
Permanent funtcion  throws AnalysisException only after select operation is 
performed.
   
   **After Fix**
   
   For temporary and permanent function check for the resource, if the UDF 
resource is not found then throw AnalysisException
   
   
![rt](https://user-images.githubusercontent.com/35216143/62781519-d1131580-bad5-11e9-9d58-69e65be86c03.png)
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27025: [SPARK-26560][SQL] Spark should be able to run Hive UDF using jar regardless of current thread context classloader

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[GitHub] [spark] SparkQA commented on issue #27025: [SPARK-26560][SQL] Spark should be able to run Hive UDF using jar regardless of current thread context classloader

2019-12-27 Thread GitBox
SparkQA commented on issue #27025: [SPARK-26560][SQL] Spark should be able to 
run Hive UDF using jar regardless of current thread context classloader
URL: https://github.com/apache/spark/pull/27025#issuecomment-569387082
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #27025: [SPARK-26560][SQL] Spark should be able to run Hive UDF using jar regardless of current thread context classloader

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[GitHub] [spark] imback82 commented on a change in pull request #26361: [SPARK-29630][SQL] Disallow creating a permanent view that references a temporary view in an expression

2019-12-27 Thread GitBox
imback82 commented on a change in pull request #26361: [SPARK-29630][SQL] 
Disallow creating a permanent view that references a temporary view in an 
expression
URL: https://github.com/apache/spark/pull/26361#discussion_r361776820
 
 

 ##
 File path: 
sql/core/src/test/resources/sql-tests/results/postgreSQL/create_view.sql.out
 ##
 @@ -803,61 +806,77 @@ Not allowed to create a permanent view `temporal4` by 
referencing a temporary vi
 
 
 -- !query 71
-CREATE TABLE tbl1 ( a int, b int) using parquet
+CREATE VIEW temporal5 AS SELECT * FROM t1 WHERE num IN (SELECT num FROM t1 
WHERE EXISTS (SELECT 1 FROM tt))
 -- !query 71 schema
 struct<>
 -- !query 71 output
-
+org.apache.spark.sql.AnalysisException
+Not allowed to create a permanent view `temporal5` by referencing a temporary 
view `tt`;
 
 Review comment:
   We can add something like `Create a temporary view to reference temporary 
views; a permanent view can only reference permanent views`, but sounds a bit 
redundant with the error message?


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[GitHub] [spark] 07ARB removed a comment on issue #26477: [SPARK-29776][SQL] rpad and lpad should return NULL when padstring parameter is empty

2019-12-27 Thread GitBox
07ARB removed a comment on issue #26477: [SPARK-29776][SQL] rpad and lpad 
should return NULL when padstring parameter is empty
URL: https://github.com/apache/spark/pull/26477#issuecomment-569385621
 
 
   @srowen, it's ok, if not require then we can close this PR.


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[GitHub] [spark] 07ARB commented on issue #26477: [SPARK-29776][SQL] rpad and lpad should return NULL when padstring parameter is empty

2019-12-27 Thread GitBox
07ARB commented on issue #26477: [SPARK-29776][SQL] rpad and lpad should return 
NULL when padstring parameter is empty
URL: https://github.com/apache/spark/pull/26477#issuecomment-569385621
 
 
   @srowen, it's ok, if not require then we can close this PR.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26956: [SPARK-30312][SQL] Preserve path attributes including permission when truncate table

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[GitHub] [spark] SparkQA removed a comment on issue #26993: [WIP][SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

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URL: https://github.com/apache/spark/pull/26993#issuecomment-569365987
 
 
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[GitHub] [spark] SparkQA commented on issue #26993: [WIP][SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

2019-12-27 Thread GitBox
SparkQA commented on issue #26993: [WIP][SPARK-30338][SQL] Avoid unnecessary 
InternalRow copies in ParquetRowConverter
URL: https://github.com/apache/spark/pull/26993#issuecomment-569381961
 
 
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* This patch passes all tests.
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

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[GitHub] [spark] SparkQA commented on issue #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

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URL: https://github.com/apache/spark/pull/27027#issuecomment-569381488
 
 
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[GitHub] [spark] imback82 commented on a change in pull request #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

2019-12-27 Thread GitBox
imback82 commented on a change in pull request #27027: [SPARK-30370][SQL] 
Update SqlBase.g4 to combine namespace and database tokens.
URL: https://github.com/apache/spark/pull/27027#discussion_r361773827
 
 

 ##
 File path: 
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4
 ##
 @@ -95,15 +95,15 @@ statement
 : query
#statementDefault
 | ctes? dmlStatementNoWith 
#dmlStatement
 | USE NAMESPACE? multipartIdentifier   #use
 
 Review comment:
   Should commands like `USE NAMESPACE` and `SHOW CURRENT NAMESPACE ` utilize 
`namespace`?


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[GitHub] [spark] imback82 commented on a change in pull request #26847: [SPARK-30214][SQL] A new framework to resolve v2 commands

2019-12-27 Thread GitBox
imback82 commented on a change in pull request #26847: [SPARK-30214][SQL]  A 
new framework to resolve v2 commands
URL: https://github.com/apache/spark/pull/26847#discussion_r361773790
 
 

 ##
 File path: 
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4
 ##
 @@ -212,6 +212,9 @@ statement
 | (DESC | DESCRIBE) TABLE? option=(EXTENDED | FORMATTED)?
 multipartIdentifier partitionSpec? describeColName?
#describeTable
 | (DESC | DESCRIBE) QUERY? query   
#describeQuery
+| COMMENT ON (database | NAMESPACE) multipartIdentifier IS
 
 Review comment:
   I created https://github.com/apache/spark/pull/27027 for this.


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[GitHub] [spark] imback82 opened a new pull request #27027: [SPARK-30370][SQL] Update SqlBase.g4 to combine namespace and database tokens.

2019-12-27 Thread GitBox
imback82 opened a new pull request #27027: [SPARK-30370][SQL] Update SqlBase.g4 
to combine namespace and database tokens.
URL: https://github.com/apache/spark/pull/27027
 
 
   
   
   ### What changes were proposed in this pull request?
   
   In `SqlBase.g4`, `database` is defined as
   ```
   database
   : DATABASE
   | SCHEMA
   ;
   ```
   and it is being used as `(database | NAMESPACE)` in many places.
   
   This PR proposes to define the following and use it as discussed in 
https://github.com/apache/spark/pull/26847/files#r359754778:
   ```
   namespace : NAMESPACE | DATABASE | SCHEMA;
   ```
   
   ### Why are the changes needed?
   
   To simplify the grammar.
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   There is no change in the actual grammar, so the existing tests should be 
sufficient.


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[GitHub] [spark] SparkQA commented on issue #27025: [SPARK-26560][SQL] Spark should be able to run Hive UDF using jar regardless of current thread context classloader

2019-12-27 Thread GitBox
SparkQA commented on issue #27025: [SPARK-26560][SQL] Spark should be able to 
run Hive UDF using jar regardless of current thread context classloader
URL: https://github.com/apache/spark/pull/27025#issuecomment-569379417
 
 
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[GitHub] [spark] imback82 commented on a change in pull request #26847: [SPARK-30214][SQL] A new framework to resolve v2 commands

2019-12-27 Thread GitBox
imback82 commented on a change in pull request #26847: [SPARK-30214][SQL]  A 
new framework to resolve v2 commands
URL: https://github.com/apache/spark/pull/26847#discussion_r361772691
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
 ##
 @@ -720,6 +722,14 @@ class Analyzer(
 }
   }
 
+  case class ResolveNamespace(catalogManager: CatalogManager)
+extends Rule[LogicalPlan] with LookupCatalog {
+def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
+  case UnresolvedNamespace(CatalogAndNamespace(catalog, ns)) =>
+ResolvedNamespace(catalog.asNamespaceCatalog, ns)
 
 Review comment:
   I have a question. We have the following in `ResolveSessionCatalog.scala`:
   ```scala
   case ShowTablesStatement(Some(CatalogAndNamespace(catalog, ns)), pattern)
 if isSessionCatalog(catalog) =>
   ```
   Do we plan to add these statements here and not resolve 
`UnresolvedNamespace` and let `ResolveSessionCatalog` handle them?
   


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