[SPARK-4003] [SQL] add 3 types for java SQL context

sql/core/src/main/scala/org/apache/spark/sql/api/java/JavaSQLContext.scala

@@ -24,6 +24,7 @@ import org.apache.hadoop.conf.Configuration
 import org.apache.spark.annotation.{DeveloperApi, Experimental}
 import org.apache.spark.api.java.{JavaRDD, JavaSparkContext}
 import org.apache.spark.sql.json.JsonRDD
+import org.apache.spark.sql.types.util.DataTypeConversions
 import org.apache.spark.sql.{SQLContext, StructType => SStructType}
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GenericRow, Row => ScalaRow}
 import org.apache.spark.sql.parquet.ParquetRelation
@@ -97,7 +98,9 @@ class JavaSQLContext(val sqlContext: SQLContext) extends UDFRegistration {
         localBeanInfo.getPropertyDescriptors.filterNot(_.getName == "class").map(_.getReadMethod)
 
       iter.map { row =>
-        new GenericRow(extractors.map(e => e.invoke(row)).toArray[Any]): ScalaRow
+        new GenericRow(
+          extractors.map(e => DataTypeConversions.convertJavaToCatalyst(e.invoke(row))).toArray[Any]
+        ): ScalaRow
       }
     }
     new JavaSchemaRDD(sqlContext, LogicalRDD(schema, rowRdd)(sqlContext))
@@ -226,6 +229,12 @@ class JavaSQLContext(val sqlContext: SQLContext) extends UDFRegistration {
           (org.apache.spark.sql.FloatType, true)
         case c: Class[_] if c == classOf[java.lang.Boolean] =>
           (org.apache.spark.sql.BooleanType, true)
+        case c: Class[_] if c == classOf[java.math.BigDecimal] =>
+          (org.apache.spark.sql.DecimalType, true)
+        case c: Class[_] if c == classOf[java.sql.Date] =>
+          (org.apache.spark.sql.DateType, true)
+        case c: Class[_] if c == classOf[java.sql.Timestamp] =>
+          (org.apache.spark.sql.TimestampType, true)
       }
       AttributeReference(property.getName, dataType, nullable)()
     }

sql/core/src/main/scala/org/apache/spark/sql/types/util/DataTypeConversions.scala

@@ -110,4 +110,16 @@ protected[sql] object DataTypeConversions {
     case structType: org.apache.spark.sql.api.java.StructType =>
       StructType(structType.getFields.map(asScalaStructField))
   }
+
+  /** Converts Java objects to catalyst rows / types */
+  def convertJavaToCatalyst(a: Any): Any = a match {
+    case d: java.math.BigDecimal => BigDecimal(d)
+    case other => other
+  }
+
+  /** Converts Java objects to catalyst rows / types */
+  def convertCatalystToJava(a: Any): Any = a match {
+    case d: scala.math.BigDecimal => d.underlying()
+    case other => other
+  }
 }

sql/core/src/test/scala/org/apache/spark/sql/api/java/JavaSQLSuite.scala

@@ -45,6 +45,9 @@ class AllTypesBean extends Serializable {
   @BeanProperty var shortField: java.lang.Short = _
   @BeanProperty var byteField: java.lang.Byte = _
   @BeanProperty var booleanField: java.lang.Boolean = _
+  @BeanProperty var dateField: java.sql.Date = _
+  @BeanProperty var timestampField: java.sql.Timestamp = _
+  @BeanProperty var bigDecimalField: java.math.BigDecimal = _
 }
 
 class JavaSQLSuite extends FunSuite {
@@ -73,6 +76,9 @@ class JavaSQLSuite extends FunSuite {
     bean.setShortField(0.toShort)
     bean.setByteField(0.toByte)
     bean.setBooleanField(false)
+    bean.setDateField(java.sql.Date.valueOf("2014-10-10"))
+    bean.setTimestampField(java.sql.Timestamp.valueOf("2014-10-10 00:00:00.0"))
+    bean.setBigDecimalField(new java.math.BigDecimal(0))
 
     val rdd = javaCtx.parallelize(bean :: Nil)
     val schemaRDD = javaSqlCtx.applySchema(rdd, classOf[AllTypesBean])
@@ -82,10 +88,34 @@ class JavaSQLSuite extends FunSuite {
       javaSqlCtx.sql(
         """
           |SELECT stringField, intField, longField, floatField, doubleField, shortField, byteField,
-          |       booleanField
+          |       booleanField, dateField, timestampField, bigDecimalField
           |FROM allTypes
         """.stripMargin).collect.head.row ===
-      Seq("", 0, 0L, 0F, 0.0, 0.toShort, 0.toByte, false))
+      Seq("", 0, 0L, 0F, 0.0, 0.toShort, 0.toByte, false, java.sql.Date.valueOf("2014-10-10"),
+        java.sql.Timestamp.valueOf("2014-10-10 00:00:00.0"), scala.math.BigDecimal(0)))
+  }
+
+  test("decimal types in JavaBeans") {
+    val bean = new AllTypesBean
+    bean.setStringField("")
+    bean.setIntField(0)
+    bean.setLongField(0)
+    bean.setFloatField(0.0F)
+    bean.setDoubleField(0.0)
+    bean.setShortField(0.toShort)
+    bean.setByteField(0.toByte)
+    bean.setBooleanField(false)
+    bean.setDateField(java.sql.Date.valueOf("2014-10-10"))
+    bean.setTimestampField(java.sql.Timestamp.valueOf("2014-10-10 00:00:00.0"))
+    bean.setBigDecimalField(new java.math.BigDecimal(0))
+
+    val rdd = javaCtx.parallelize(bean :: Nil)
+    val schemaRDD = javaSqlCtx.applySchema(rdd, classOf[AllTypesBean])
+    schemaRDD.registerTempTable("decimalTypes")
+
+    assert(javaSqlCtx.sql(
+      "select bigDecimalField + bigDecimalField from decimalTypes"
+    ).collect.head.row === Seq(scala.math.BigDecimal(0)))
   }
 
   test("all types null in JavaBeans") {
@@ -98,6 +128,9 @@ class JavaSQLSuite extends FunSuite {
     bean.setShortField(null)
     bean.setByteField(null)
     bean.setBooleanField(null)
+    bean.setDateField(null)
+    bean.setTimestampField(null)
+    bean.setBigDecimalField(null)
 
     val rdd = javaCtx.parallelize(bean :: Nil)
     val schemaRDD = javaSqlCtx.applySchema(rdd, classOf[AllTypesBean])
@@ -107,10 +140,10 @@ class JavaSQLSuite extends FunSuite {
       javaSqlCtx.sql(
         """
           |SELECT stringField, intField, longField, floatField, doubleField, shortField, byteField,
-          |       booleanField
+          |       booleanField, dateField, timestampField, bigDecimalField
           |FROM allTypes
         """.stripMargin).collect.head.row ===
-        Seq.fill(8)(null))
+        Seq.fill(11)(null))
   }
 
   test("loads JSON datasets") {