Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r142277890
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r142184575
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r142054949
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r141998045
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r141950046
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
---
@@ -110,6 +110,7 @@ class PlanParserSuite
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r141949952
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/19392#discussion_r141949849
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -510,11 +510,15 @@ rowFormat
;
GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/19392
[SPARK-22169][SQL] table name with numbers and characters should parsed
successfuly
## What changes were proposed in this pull request?
By definition the table name in Spark can be
