[SPARK-11827] [SQL] Adding java.math.BigInteger support in Java type inference for POJOs and Java collections

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala

@@ -19,6 +19,7 @@ package org.apache.spark.sql.catalyst
 
 import java.lang.{Iterable => JavaIterable}
 import java.math.{BigDecimal => JavaBigDecimal}
+import java.math.{BigInteger => JavaBigInteger}
 import java.sql.{Date, Timestamp}
 import java.util.{Map => JavaMap}
 import javax.annotation.Nullable
@@ -326,6 +327,7 @@ object CatalystTypeConverters {
       val decimal = scalaValue match {
         case d: BigDecimal => Decimal(d)
         case d: JavaBigDecimal => Decimal(d)
+        case d: JavaBigInteger => Decimal(d)
         case d: Decimal => d
       }
       if (decimal.changePrecision(dataType.precision, dataType.scale)) {

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala

@@ -89,6 +89,7 @@ object JavaTypeInference {
       case c: Class[_] if c == classOf[java.lang.Boolean] => (BooleanType, true)
 
       case c: Class[_] if c == classOf[java.math.BigDecimal] => (DecimalType.SYSTEM_DEFAULT, true)
+      case c: Class[_] if c == classOf[java.math.BigInteger] => (DecimalType.BIGINT_DEFAULT, true)
       case c: Class[_] if c == classOf[java.sql.Date] => (DateType, true)
       case c: Class[_] if c == classOf[java.sql.Timestamp] => (TimestampType, true)
 

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala

@@ -259,6 +259,12 @@ object ScalaReflection extends ScalaReflection {
       case t if t <:< localTypeOf[BigDecimal] =>
         Invoke(getPath, "toBigDecimal", ObjectType(classOf[BigDecimal]))
 
+      case t if t <:< localTypeOf[java.math.BigInteger] =>
+        Invoke(getPath, "toJavaBigInteger", ObjectType(classOf[java.math.BigInteger]))
+
+      case t if t <:< localTypeOf[scala.math.BigInt] =>
+        Invoke(getPath, "toScalaBigInt", ObjectType(classOf[scala.math.BigInt]))
+
       case t if t <:< localTypeOf[Array[_]] =>
         val TypeRef(_, _, Seq(elementType)) = t
 
@@ -592,6 +598,20 @@ object ScalaReflection extends ScalaReflection {
             "apply",
             inputObject :: Nil)
 
+        case t if t <:< localTypeOf[java.math.BigInteger] =>
+          StaticInvoke(
+            Decimal.getClass,
+            DecimalType.BIGINT_DEFAULT,
+            "apply",
+            inputObject :: Nil)
+
+        case t if t <:< localTypeOf[scala.math.BigInt] =>
+          StaticInvoke(
+            Decimal.getClass,
+            DecimalType.BIGINT_DEFAULT,
+            "apply",
+            inputObject :: Nil)
+
         case t if t <:< localTypeOf[java.lang.Integer] =>
           Invoke(inputObject, "intValue", IntegerType)
         case t if t <:< localTypeOf[java.lang.Long] =>
@@ -736,6 +756,10 @@ object ScalaReflection extends ScalaReflection {
       case t if t <:< localTypeOf[BigDecimal] => Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
       case t if t <:< localTypeOf[java.math.BigDecimal] =>
         Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
+      case t if t <:< localTypeOf[java.math.BigInteger] =>
+        Schema(DecimalType.BIGINT_DEFAULT, nullable = true)
+      case t if t <:< localTypeOf[scala.math.BigInt] =>
+        Schema(DecimalType.BIGINT_DEFAULT, nullable = true)
       case t if t <:< localTypeOf[Decimal] => Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
       case t if t <:< localTypeOf[java.lang.Integer] => Schema(IntegerType, nullable = true)
       case t if t <:< localTypeOf[java.lang.Long] => Schema(LongType, nullable = true)

sql/catalyst/src/main/scala/org/apache/spark/sql/types/Decimal.scala

@@ -17,7 +17,7 @@
 
 package org.apache.spark.sql.types
 
-import java.math.{MathContext, RoundingMode}
+import java.math.{BigInteger, MathContext, RoundingMode}
 
 import org.apache.spark.annotation.DeveloperApi
 
@@ -128,6 +128,23 @@ final class Decimal extends Ordered[Decimal] with Serializable {
     this
   }
 
+  /**
+   * Set this Decimal to the given BigInteger value. Will have precision 38 and scale 0.
+   */
+  def set(bigintval: BigInteger): Decimal = {
+    try {
+      this.decimalVal = null
+      this.longVal = bigintval.longValueExact()
+      this._precision = DecimalType.MAX_PRECISION
+      this._scale = 0
+      this
+    }
+    catch {
+      case e: ArithmeticException =>
+        throw new IllegalArgumentException(s"BigInteger ${bigintval} too large for decimal")
+     }
+  }
+
   /**
    * Set this Decimal to the given Decimal value.
    */
@@ -155,6 +172,10 @@ final class Decimal extends Ordered[Decimal] with Serializable {
     }
   }
 
+  def toScalaBigInt: BigInt = BigInt(toLong)
+
+  def toJavaBigInteger: java.math.BigInteger = java.math.BigInteger.valueOf(toLong)
+
   def toUnscaledLong: Long = {
     if (decimalVal.ne(null)) {
       decimalVal.underlying().unscaledValue().longValue()
@@ -371,6 +392,10 @@ object Decimal {
 
   def apply(value: java.math.BigDecimal): Decimal = new Decimal().set(value)
 
+  def apply(value: java.math.BigInteger): Decimal = new Decimal().set(value)
+
+  def apply(value: scala.math.BigInt): Decimal = new Decimal().set(value.bigInteger)
+
   def apply(value: BigDecimal, precision: Int, scale: Int): Decimal =
     new Decimal().set(value, precision, scale)
 
@@ -387,6 +412,8 @@ object Decimal {
     value match {
       case j: java.math.BigDecimal => apply(j)
       case d: BigDecimal => apply(d)
+      case k: scala.math.BigInt => apply(k)
+      case l: java.math.BigInteger => apply(l)
       case d: Decimal => d
     }
   }

sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala

@@ -109,6 +109,7 @@ object DecimalType extends AbstractDataType {
   val MAX_SCALE = 38
   val SYSTEM_DEFAULT: DecimalType = DecimalType(MAX_PRECISION, 18)
   val USER_DEFAULT: DecimalType = DecimalType(10, 0)
+  val BIGINT_DEFAULT: DecimalType = DecimalType(MAX_PRECISION, 0)
 
   // The decimal types compatible with other numeric types
   private[sql] val ByteDecimal = DecimalType(3, 0)

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoderSuite.scala

@@ -17,6 +17,7 @@
 
 package org.apache.spark.sql.catalyst.encoders
 
+import java.math.BigInteger
 import java.sql.{Date, Timestamp}
 import java.util.Arrays
 
@@ -109,7 +110,8 @@ class ExpressionEncoderSuite extends PlanTest with AnalysisTest {
 
   encodeDecodeTest(BigDecimal("32131413.211321313"), "scala decimal")
   encodeDecodeTest(new java.math.BigDecimal("231341.23123"), "java decimal")
-
+  encodeDecodeTest(BigInt("23134123123"), "scala biginteger")
+  encodeDecodeTest(new BigInteger("23134123123"), "java BigInteger")
   encodeDecodeTest(Decimal("32131413.211321313"), "catalyst decimal")
 
   encodeDecodeTest("hello", "string")

sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java

@@ -21,6 +21,8 @@
 import java.net.URISyntaxException;
 import java.net.URL;
 import java.util.*;
+import java.math.BigInteger;
+import java.math.BigDecimal;
 
 import scala.collection.JavaConverters;
 import scala.collection.Seq;
@@ -130,6 +132,7 @@ public static class Bean implements Serializable {
     private Integer[] b = { 0, 1 };
     private Map<String, int[]> c = ImmutableMap.of("hello", new int[] { 1, 2 });
     private List<String> d = Arrays.asList("floppy", "disk");
+    private BigInteger e = new BigInteger("1234567");
 
     public double getA() {
       return a;
@@ -146,6 +149,8 @@ public Map<String, int[]> getC() {
     public List<String> getD() {
       return d;
     }
+
+    public BigInteger getE() { return e; }
   }
 
   void validateDataFrameWithBeans(Bean bean, Dataset<Row> df) {
@@ -163,7 +168,9 @@ void validateDataFrameWithBeans(Bean bean, Dataset<Row> df) {
     Assert.assertEquals(
       new StructField("d", new ArrayType(DataTypes.StringType, true), true, Metadata.empty()),
       schema.apply("d"));
-    Row first = df.select("a", "b", "c", "d").first();
+    Assert.assertEquals(new StructField("e", DataTypes.createDecimalType(38,0), true, Metadata.empty()),
+      schema.apply("e"));
+    Row first = df.select("a", "b", "c", "d","e").first();
     Assert.assertEquals(bean.getA(), first.getDouble(0), 0.0);
     // Now Java lists and maps are converted to Scala Seq's and Map's. Once we get a Seq below,
     // verify that it has the expected length, and contains expected elements.
@@ -182,6 +189,8 @@ void validateDataFrameWithBeans(Bean bean, Dataset<Row> df) {
     for (int i = 0; i < d.length(); i++) {
       Assert.assertEquals(bean.getD().get(i), d.apply(i));
     }
+      // Java.math.BigInteger is equavient to Spark Decimal(38,0)
+    Assert.assertEquals(new BigDecimal(bean.getE()), first.getDecimal(4).setScale(0));
   }
 
   @Test

sql/core/src/test/scala/org/apache/spark/sql/ScalaReflectionRelationSuite.scala

@@ -34,7 +34,9 @@ case class ReflectData(
     decimalField: java.math.BigDecimal,
     date: Date,
     timestampField: Timestamp,
-    seqInt: Seq[Int])
+    seqInt: Seq[Int],
+    javaBigInt: java.math.BigInteger,
+    scalaBigInt: scala.math.BigInt)
 
 case class NullReflectData(
     intField: java.lang.Integer,
@@ -77,13 +79,15 @@ class ScalaReflectionRelationSuite extends SparkFunSuite with SharedSQLContext {
 
   test("query case class RDD") {
     val data = ReflectData("a", 1, 1L, 1.toFloat, 1.toDouble, 1.toShort, 1.toByte, true,
-      new java.math.BigDecimal(1), Date.valueOf("1970-01-01"), new Timestamp(12345), Seq(1, 2, 3))
+      new java.math.BigDecimal(1), Date.valueOf("1970-01-01"), new Timestamp(12345), Seq(1, 2, 3),
+      new java.math.BigInteger("1"), scala.math.BigInt(1))
     Seq(data).toDF().createOrReplaceTempView("reflectData")
 
     assert(sql("SELECT * FROM reflectData").collect().head ===
       Row("a", 1, 1L, 1.toFloat, 1.toDouble, 1.toShort, 1.toByte, true,
         new java.math.BigDecimal(1), Date.valueOf("1970-01-01"),
-        new Timestamp(12345), Seq(1, 2, 3)))
+        new Timestamp(12345), Seq(1, 2, 3), new java.math.BigDecimal(1),
+        new java.math.BigDecimal(1)))
   }
 
   test("query case class RDD with nulls") {