[SPARK-16625][SQL] General data types to be mapped to Oracle

## What changes were proposed in this pull request?

Spark will convert **BooleanType** to **BIT(1)**, **LongType** to **BIGINT**, **ByteType**  to **BYTE** when saving DataFrame to Oracle, but Oracle does not support BIT, BIGINT and BYTE types.

This PR is convert following _Spark Types_ to _Oracle types_ refer to [Oracle Developer's Guide](https://docs.oracle.com/cd/E19501-01/819-3659/gcmaz/)

Spark Type | Oracle
----|----
BooleanType | NUMBER(1)
IntegerType | NUMBER(10)
LongType | NUMBER(19)
FloatType | NUMBER(19, 4)
DoubleType | NUMBER(19, 4)
ByteType | NUMBER(3)
ShortType | NUMBER(5)

## How was this patch tested?

Add new tests in [JDBCSuite.scala](https://github.com/wangyum/spark/commit/22b0c2a4228cb8b5098ad741ddf4d1904e745ff6#diff-dc4b58851b084b274df6fe6b189db84d) and [OracleDialect.scala](https://github.com/wangyum/spark/commit/22b0c2a4228cb8b5098ad741ddf4d1904e745ff6#diff-5e0cadf526662f9281aa26315b3750ad)

Author: Yuming Wang <wgyumg@gmail.com>

Closes #14377 from wangyum/SPARK-16625.

1 files changed, 73 insertions, 1 deletions

diff --git a/external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala b/external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
index c5e1f8607b..8c880f3ee5 100644
--- a/external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
+++ b/external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
@@ -17,10 +17,12 @@
 
 package org.apache.spark.sql.jdbc
 
-import java.sql.Connection
+import java.sql.{Connection, Date, Timestamp}
 import java.util.Properties
 
+import org.apache.spark.sql.Row
 import org.apache.spark.sql.test.SharedSQLContext
+import org.apache.spark.sql.types._
 import org.apache.spark.tags.DockerTest
 
 /**
@@ -77,4 +79,74 @@ class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with SharedSQLCo
     // verify the value is the inserted correct or not
     assert(rows(0).getString(0).equals("foo"))
   }
+
+  test("SPARK-16625: General data types to be mapped to Oracle") {
+    val props = new Properties()
+    props.put("oracle.jdbc.mapDateToTimestamp", "false")
+
+    val schema = StructType(Seq(
+      StructField("boolean_type", BooleanType, true),
+      StructField("integer_type", IntegerType, true),
+      StructField("long_type", LongType, true),
+      StructField("float_Type", FloatType, true),
+      StructField("double_type", DoubleType, true),
+      StructField("byte_type", ByteType, true),
+      StructField("short_type", ShortType, true),
+      StructField("string_type", StringType, true),
+      StructField("binary_type", BinaryType, true),
+      StructField("date_type", DateType, true),
+      StructField("timestamp_type", TimestampType, true)
+    ))
+
+    val tableName = "test_oracle_general_types"
+    val booleanVal = true
+    val integerVal = 1
+    val longVal = 2L
+    val floatVal = 3.0f
+    val doubleVal = 4.0
+    val byteVal = 2.toByte
+    val shortVal = 5.toShort
+    val stringVal = "string"
+    val binaryVal = Array[Byte](6, 7, 8)
+    val dateVal = Date.valueOf("2016-07-26")
+    val timestampVal = Timestamp.valueOf("2016-07-26 11:49:45")
+
+    val data = spark.sparkContext.parallelize(Seq(
+      Row(
+        booleanVal, integerVal, longVal, floatVal, doubleVal, byteVal, shortVal, stringVal,
+        binaryVal, dateVal, timestampVal
+      )))
+
+    val dfWrite = spark.createDataFrame(data, schema)
+    dfWrite.write.jdbc(jdbcUrl, tableName, props)
+
+    val dfRead = spark.read.jdbc(jdbcUrl, tableName, props)
+    val rows = dfRead.collect()
+    // verify the data type is inserted
+    val types = rows(0).toSeq.map(x => x.getClass.toString)
+    assert(types(0).equals("class java.lang.Boolean"))
+    assert(types(1).equals("class java.lang.Integer"))
+    assert(types(2).equals("class java.lang.Long"))
+    assert(types(3).equals("class java.lang.Float"))
+    assert(types(4).equals("class java.lang.Float"))
+    assert(types(5).equals("class java.lang.Integer"))
+    assert(types(6).equals("class java.lang.Integer"))
+    assert(types(7).equals("class java.lang.String"))
+    assert(types(8).equals("class [B"))
+    assert(types(9).equals("class java.sql.Date"))
+    assert(types(10).equals("class java.sql.Timestamp"))
+    // verify the value is the inserted correct or not
+    val values = rows(0)
+    assert(values.getBoolean(0).equals(booleanVal))
+    assert(values.getInt(1).equals(integerVal))
+    assert(values.getLong(2).equals(longVal))
+    assert(values.getFloat(3).equals(floatVal))
+    assert(values.getFloat(4).equals(doubleVal.toFloat))
+    assert(values.getInt(5).equals(byteVal.toInt))
+    assert(values.getInt(6).equals(shortVal.toInt))
+    assert(values.getString(7).equals(stringVal))
+    assert(values.getAs[Array[Byte]](8).mkString.equals("678"))
+    assert(values.getDate(9).equals(dateVal))
+    assert(values.getTimestamp(10).equals(timestampVal))
+  }
 }