Repository: spark
Updated Branches:
  refs/heads/master f80f7b69a -> 14ee0f572


[SPARK-10648] Oracle dialect to handle nonspecific numeric types

This is the alternative/agreed upon solution to PR #8780.

Creating an OracleDialect to handle the nonspecific numeric types that can be 
defined in oracle.

Author: Travis Hegner <theg...@trilliumit.com>

Closes #9495 from travishegner/OracleDialect.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/14ee0f57
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/14ee0f57
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/14ee0f57

Branch: refs/heads/master
Commit: 14ee0f5726f96e2c4c28ac328d43fd85a0630b48
Parents: f80f7b6
Author: Travis Hegner <theg...@trilliumit.com>
Authored: Thu Nov 5 12:35:23 2015 -0800
Committer: Yin Huai <yh...@databricks.com>
Committed: Thu Nov 5 12:36:57 2015 -0800

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 .../apache/spark/sql/jdbc/JdbcDialects.scala    | 25 ++++++++++++++++++++
 1 file changed, 25 insertions(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/14ee0f57/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
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diff --git 
a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala 
b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
index 88ae839..f9a6a09 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala
@@ -139,6 +139,7 @@ object JdbcDialects {
   registerDialect(DB2Dialect)
   registerDialect(MsSqlServerDialect)
   registerDialect(DerbyDialect)
+  registerDialect(OracleDialect)
 
 
   /**
@@ -315,3 +316,27 @@ case object DerbyDialect extends JdbcDialect {
 
 }
 
+/**
+ * :: DeveloperApi ::
+ * Default Oracle dialect, mapping a nonspecific numeric type to a general 
decimal type.
+ */
+@DeveloperApi
+case object OracleDialect extends JdbcDialect {
+  override def canHandle(url: String): Boolean = url.startsWith("jdbc:oracle")
+  override def getCatalystType(
+      sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): 
Option[DataType] = {
+    // Handle NUMBER fields that have no precision/scale in special way
+    // because JDBC ResultSetMetaData converts this to 0 procision and -127 
scale
+    // For more details, please see
+    // https://github.com/apache/spark/pull/8780#issuecomment-145598968
+    // and
+    // https://github.com/apache/spark/pull/8780#issuecomment-144541760
+    if (sqlType == Types.NUMERIC && size == 0) {
+      // This is sub-optimal as we have to pick a precision/scale in advance 
whereas the data
+      //  in Oracle is allowed to have different precision/scale for each 
value.
+      Some(DecimalType(DecimalType.MAX_PRECISION, 10))
+    } else {
+      None
+    }
+  }
+}


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