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Posted to reviews@spark.apache.org by "yaooqinn (via GitHub)" <gi...@apache.org> on 2023/03/23 05:02:40 UTC

[GitHub] [spark] yaooqinn opened a new pull request, #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

yaooqinn opened a new pull request, #40531:
URL: https://github.com/apache/spark/pull/40531

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   Add type mapping for spark char/varchar to jdbc types.
   
   ### Why are the changes needed?
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   The STANDARD JDBC 1.0 and other modern databases define char/varchar normatively.
   
   
   ### Does this PR introduce _any_ user-facing change?
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   yes, char/varchar are allow for jdbc catalogs
   
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   nex
   


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[GitHub] [spark] yaooqinn commented on pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

Posted by "yaooqinn (via GitHub)" <gi...@apache.org>.
yaooqinn commented on PR #40531:
URL: https://github.com/apache/spark/pull/40531#issuecomment-1480688891

   cc @HyukjinKwon @cloud-fan @dongjoon-hyun thanks


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[GitHub] [spark] yaooqinn commented on a diff in pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

Posted by "yaooqinn (via GitHub)" <gi...@apache.org>.
yaooqinn commented on code in PR #40531:
URL: https://github.com/apache/spark/pull/40531#discussion_r1147140360


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala:
##########
@@ -452,4 +452,18 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       assert(m.contains("\"TABLEENGINENAME\" not found"))
     }
   }
+
+  test("SPARK-42904: CREATE TABLE with char/varchar") {
+    withTable("h2.test.new_table") {
+      sql("CREATE TABLE h2.test.new_table(c CHAR(10), v VARCHAR(100))")
+      checkAnswer(sql("SHOW TABLES IN h2.test LIKE 'new*'"), Row("test", "new_table", false))
+    }
+  }
+
+  test("SPARK-42904: CREATE TABLE with char/varchar with invalid char length") {
+    val e = intercept[AnalysisException]{
+      sql("CREATE TABLE h2.test.new_table(c CHAR(1000000001))")
+    }
+    assert(e.getCause.getMessage.contains("1000000001"))
+  }

Review Comment:
   Not really necessary, as we don't classify the exception on our side



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[GitHub] [spark] yaooqinn closed pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

Posted by "yaooqinn (via GitHub)" <gi...@apache.org>.
yaooqinn closed pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog
URL: https://github.com/apache/spark/pull/40531


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[GitHub] [spark] yaooqinn commented on pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

Posted by "yaooqinn (via GitHub)" <gi...@apache.org>.
yaooqinn commented on PR #40531:
URL: https://github.com/apache/spark/pull/40531#issuecomment-1482330150

   thanks, merged to master and 3.4


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[GitHub] [spark] LuciferYang commented on a diff in pull request #40531: [SPARK-42904][SQL] Char/Varchar Support for JDBC Catalog

Posted by "LuciferYang (via GitHub)" <gi...@apache.org>.
LuciferYang commented on code in PR #40531:
URL: https://github.com/apache/spark/pull/40531#discussion_r1147130110


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCTableCatalogSuite.scala:
##########
@@ -452,4 +452,18 @@ class JDBCTableCatalogSuite extends QueryTest with SharedSparkSession {
       assert(m.contains("\"TABLEENGINENAME\" not found"))
     }
   }
+
+  test("SPARK-42904: CREATE TABLE with char/varchar") {
+    withTable("h2.test.new_table") {
+      sql("CREATE TABLE h2.test.new_table(c CHAR(10), v VARCHAR(100))")
+      checkAnswer(sql("SHOW TABLES IN h2.test LIKE 'new*'"), Row("test", "new_table", false))
+    }
+  }
+
+  test("SPARK-42904: CREATE TABLE with char/varchar with invalid char length") {
+    val e = intercept[AnalysisException]{
+      sql("CREATE TABLE h2.test.new_table(c CHAR(1000000001))")
+    }
+    assert(e.getCause.getMessage.contains("1000000001"))
+  }

Review Comment:
   should we also add a `VARCHAR` case? like 
   
   ```
   sql("CREATE TABLE h2.test.new_table(c VARCHAR(1000000001))")
   ```
   ?
   



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