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[GitHub] [spark] amaliujia opened a new pull request, #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

amaliujia opened a new pull request, #38345:
URL: https://github.com/apache/spark/pull/38345

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   I was working on refactoring Connect proto tests from Catalyst DSL to DataFrame API, and identified that Join in Connect does not support `UsingColumns`. This is a gap between the Connect proto and DataFrame API. This also blocks the refactoring work because without `UsingColumns`, there is no compatible DataFrame Join API that we can covert existing tests to. 
   
   This PR adds the support for Join's `UsingColumns`.
   
   ### Why are the changes needed?
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     1. If you propose a new API, clarify the use case for a new API.
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   1. Improve API coverage.
   2. Unblock testing refactoring. 
   
   ### Does this PR introduce _any_ user-facing change?
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   No.
   
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   UT


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[GitHub] [spark] grundprinzip commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
grundprinzip commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1003254127


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   doc?



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[GitHub] [spark] cloud-fan commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1004023351


##########
connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala:
##########
@@ -238,13 +238,17 @@ package object dsl {
       def join(
           otherPlan: proto.Relation,
           joinType: JoinType = JoinType.JOIN_TYPE_INNER,
+          usingColumns: Seq[String] = Seq(),

Review Comment:
   let's add an overload of `def join` which only accepts `usingColumns`, no `condition`



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[GitHub] [spark] amaliujia commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1002886307


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   Based on the current Catalyst implementation. My read is yes.
   
   My understanding is current Catalyst implementation does not support `JOIN USING col_name,...` in the join_condition. It is a separate code path. Is it true?



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[GitHub] [spark] amaliujia commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1002886307


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   Based on the current Catalyst implementation. My read is yes.
   
   My understanding is current Catalyst implementation does not support `USING ON col_name,...` in the join_condition. It is a separate code path. Is it true?



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[GitHub] [spark] cloud-fan commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1002881870


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   Can join_condition and using_columns co-exist?



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[GitHub] [spark] AmplabJenkins commented on pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on PR #38345:
URL: https://github.com/apache/spark/pull/38345#issuecomment-1287953624

   Can one of the admins verify this patch?


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[GitHub] [spark] cloud-fan closed pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan closed pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto
URL: https://github.com/apache/spark/pull/38345


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[GitHub] [spark] amaliujia commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1004046961


##########
connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala:
##########
@@ -238,13 +238,17 @@ package object dsl {
       def join(
           otherPlan: proto.Relation,
           joinType: JoinType = JoinType.JOIN_TYPE_INNER,
+          usingColumns: Seq[String] = Seq(),

Review Comment:
   Looks like only one overloaded version can have default arguments:
   
   [ERROR] /Users/rui.wang/Documents/open-source-spark/spark/connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala:176: in class DslLogicalPlan, multiple overloaded alternatives of method join define default arguments.
   
   
   I ended up with adding a few more overloaded version of `def join`.



##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,10 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  // Optional. using_columns provides a list of columns that should present on both sides of
+  // the join inputs that this Join will join on. For example A JOIN B USING col_name is
+  // equivalent to A JOIN B on A.col_name = B.col_name.

Review Comment:
   done.



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[GitHub] [spark] cloud-fan commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1004022886


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,10 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  // Optional. using_columns provides a list of columns that should present on both sides of
+  // the join inputs that this Join will join on. For example A JOIN B USING col_name is
+  // equivalent to A JOIN B on A.col_name = B.col_name.

Review Comment:
   let's also mention that this can't co-exist with `join_condition`



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[GitHub] [spark] amaliujia commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1003878598


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   I see. To match with our API (but not implementation), I added a check to make sure only one of these two  will be set.



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[GitHub] [spark] amaliujia commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1003878330


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   done



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[GitHub] [spark] cloud-fan commented on a diff in pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on code in PR #38345:
URL: https://github.com/apache/spark/pull/38345#discussion_r1002888858


##########
connector/connect/src/main/protobuf/spark/connect/relations.proto:
##########
@@ -109,6 +109,7 @@ message Join {
   Relation right = 2;
   Expression join_condition = 3;
   JoinType join_type = 4;
+  repeated string using_columns = 5;

Review Comment:
   Looking at the API layer (DF and SQL), I don't think they can co-exist. E.g. the parser rule is
   ```
   joinCriteria
       : ON booleanExpression
       | USING identifierList
       ;
   ```



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[GitHub] [spark] cloud-fan commented on pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on PR #38345:
URL: https://github.com/apache/spark/pull/38345#issuecomment-1290776486

   thanks, merging to master!


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[GitHub] [spark] amaliujia commented on pull request #38345: [SPARK-40879][CONNECT] Support Join UsingColumns in proto

Posted by GitBox <gi...@apache.org>.
amaliujia commented on PR #38345:
URL: https://github.com/apache/spark/pull/38345#issuecomment-1287635120

   R: @cloud-fan 


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