[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-06 Thread asfgit
Github user asfgit closed the pull request at:

https://github.com/apache/spark/pull/14867


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-06 Thread srinathshankar
Github user srinathshankar commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77675078
  
--- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ---
@@ -360,10 +360,54 @@ class PlanParserSuite extends PlanTest {
 test("left anti join", LeftAnti, testExistence)
 test("anti join", LeftAnti, testExistence)
 
+// Test natural cross join
+intercept("select * from a natural cross join b")
+
+// Test natural join with a condition
+intercept("select * from a natural join b on a.id = b.id")
+
 // Test multiple consecutive joins
 assertEqual(
   "select * from a join b join c right join d",
   table("a").join(table("b")).join(table("c")).join(table("d"), 
RightOuter).select(star()))
+
+// SPARK-17296
+assertEqual(
+  "select * from t1 cross join t2 join t3 on t3.id = t1.id join t4 on 
t4.id = t1.id",
+  table("t1")
+.join(table("t2"), Cross)
+.join(table("t3"), Inner, Option(Symbol("t3.id") === 
Symbol("t1.id")))
+.join(table("t4"), Inner, Option(Symbol("t4.id") === 
Symbol("t1.id")))
+.select(star()))
+
+// Test multiple on clauses.
+intercept("select * from t1 inner join t2 inner join t3 on col3 = col2 
on col3 = col1")
+
+// Parenthesis
+assertEqual(
+  "select * from t1 inner join (t2 inner join t3 on col3 = col2) on 
col3 = col1",
+  table("t1")
+.join(table("t2")
+  .join(table("t3"), Inner, Option('col3 === 'col2)), Inner, 
Option('col3 === 'col1))
+.select(star()))
+assertEqual(
+  "select * from t1 inner join (t2 inner join t3) on col3 = col2",
+  table("t1")
+.join(table("t2").join(table("t3"), Inner, None), Inner, 
Option('col3 === 'col2))
+.select(star()))
+assertEqual(
+  "select * from t1 inner join (t2 inner join t3 on col3 = col2)",
+  table("t1")
+.join(table("t2").join(table("t3"), Inner, Option('col3 === 
'col2)), Inner, None)
+.select(star()))
+
+// Implicit joins.
+assertEqual(
--- End diff --

Great, LGTM


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-03 Thread hvanhovell
Github user hvanhovell commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77439638
  
--- Diff: 
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -374,15 +374,17 @@ setQuantifier
 ;
 
 relation
-: left=relation
-  ((CROSS | joinType) JOIN right=relation joinCriteria?
-  | NATURAL joinType JOIN right=relation
-  )   #joinRelation
-| relationPrimary #relationDefault
+: relationPrimary joinRelation*
+;
+
+joinRelation
+: joinType JOIN right=relationPrimary joinCriteria?
+| NATURAL joinType JOIN right=relationPrimary
 ;
--- End diff --

I had to move the code around. I have added a check in the AstBuilder 
(spark side of the parser) to catch this.


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-02 Thread srinathshankar
Github user srinathshankar commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77421576
  
--- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ---
@@ -360,10 +360,28 @@ class PlanParserSuite extends PlanTest {
 test("left anti join", LeftAnti, testExistence)
 test("anti join", LeftAnti, testExistence)
 
+// Test natural cross join
+intercept("select * from a natural cross join b")
+
+// Test natural join with a condition
+intercept("select * from a natural join b on a.id = b.id")
+
 // Test multiple consecutive joins
 assertEqual(
   "select * from a join b join c right join d",
   table("a").join(table("b")).join(table("c")).join(table("d"), 
RightOuter).select(star()))
+
+// SPARK-17296
+assertEqual(
+  "select * from t1 cross join t2 join t3 on t3.id = t1.id join t4 on 
t4.id = t1.id",
+  table("t1")
+.join(table("t2"))
+.join(table("t3"), Inner, Option(Symbol("t3.id") === 
Symbol("t1.id")))
+.join(table("t4"), Inner, Option(Symbol("t4.id") === 
Symbol("t1.id")))
+.select(star()))
+
+// Test multiple on clauses.
+intercept("select * from t1 inner join t2 inner join t3 on col3 = col2 
on col3 = col1")
--- End diff --

As discussed, let's also add a test somewhere for
SELECT * FROM T1 INNER JOIN (T2 INNER JOIN T3 ON col3 = col2) ON col3 = col1
SELECT * FROM T1 INNER JOIN (T2 INNER JOIN T3) ON col3 = col2
SELECT * FROM T1 INNER JOIN (T2 INNER JOIN T3 ON col3 = col2)

This looks good to me.


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-02 Thread hvanhovell
Github user hvanhovell commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77420330
  
--- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ---
@@ -360,10 +360,25 @@ class PlanParserSuite extends PlanTest {
 test("left anti join", LeftAnti, testExistence)
 test("anti join", LeftAnti, testExistence)
 
+// Test natural cross join
+intercept("select * from a natural cross join b")
+
+// Test natural join with a condition
+intercept("select * from a natural join b on a.id = b.id")
+
 // Test multiple consecutive joins
 assertEqual(
   "select * from a join b join c right join d",
   table("a").join(table("b")).join(table("c")).join(table("d"), 
RightOuter).select(star()))
+
+// SPARK-17296
+assertEqual(
+  "select * from t1 cross join t2 join t3 on t3.id = t1.id join t4 on 
t4.id = t1.id",
--- End diff --

Good catch. I have added a test.


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-02 Thread srinathshankar
Github user srinathshankar commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77418488
  
--- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ---
@@ -360,10 +360,25 @@ class PlanParserSuite extends PlanTest {
 test("left anti join", LeftAnti, testExistence)
 test("anti join", LeftAnti, testExistence)
 
+// Test natural cross join
+intercept("select * from a natural cross join b")
+
+// Test natural join with a condition
+intercept("select * from a natural join b on a.id = b.id")
+
 // Test multiple consecutive joins
 assertEqual(
   "select * from a join b join c right join d",
   table("a").join(table("b")).join(table("c")).join(table("d"), 
RightOuter).select(star()))
+
+// SPARK-17296
+assertEqual(
+  "select * from t1 cross join t2 join t3 on t3.id = t1.id join t4 on 
t4.id = t1.id",
--- End diff --

To clarify, it looks like your patch will disallow both queries at the 
parser level. Could you add a test that enforces this ?


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[GitHub] spark pull request #14867: [SPARK-17296][SQL] Simplify parser join processin...

2016-09-02 Thread srinathshankar
Github user srinathshankar commented on a diff in the pull request:

https://github.com/apache/spark/pull/14867#discussion_r77417316
  
--- Diff: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ---
@@ -360,10 +360,25 @@ class PlanParserSuite extends PlanTest {
 test("left anti join", LeftAnti, testExistence)
 test("anti join", LeftAnti, testExistence)
 
+// Test natural cross join
+intercept("select * from a natural cross join b")
+
+// Test natural join with a condition
+intercept("select * from a natural join b on a.id = b.id")
+
 // Test multiple consecutive joins
 assertEqual(
   "select * from a join b join c right join d",
   table("a").join(table("b")).join(table("c")).join(table("d"), 
RightOuter).select(star()))
+
+// SPARK-17296
+assertEqual(
+  "select * from t1 cross join t2 join t3 on t3.id = t1.id join t4 on 
t4.id = t1.id",
--- End diff --

How is something like 
SELECT * FROM T1 INNER JOIN T2 INNER JOIN T3 ON col3 = col2 ON col3 = col1;
supposed to parse ? 
Without your change it returns the following error:
org.apache.spark.sql.AnalysisException: cannot resolve '`col3`' given input 
columns: [col1, col2]; line 1 pos 63
which I don't understand. The following parses though:
SELECT * FROM T1 INNER JOIN T2 INNER JOIN T3 ON col1 = col2 ON col2 = col1
and returns a result


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