vinodkc commented on code in PR #38419: URL: https://github.com/apache/spark/pull/38419#discussion_r1088393009
########## sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/MathExpressionsSuite.scala: ########## @@ -937,4 +937,135 @@ class MathExpressionsSuite extends SparkFunSuite with ExpressionEvalHelper { checkEvaluation(WidthBucket(5.35, 0.024, Double.NegativeInfinity, 5L), null) checkEvaluation(WidthBucket(5.35, 0.024, Double.PositiveInfinity, 5L), null) } + +test("truncate number") { + def evaluateForEachItem(from: Int, to: Int, increment: Int)(f: (Int, Int) => Unit): Unit = { + Range(from, to, increment).zipWithIndex.foreach { case (scale, i) => + f(scale, i) + } + } + + // Decimal + val decimalInput = BigDecimal("123456789123456789.123456789") + val truncDecimalResults = Seq( + "123456789123456789.123456789", + "123456789123456789.123456789", + "123456789123456789.12345678", + "123456789123456789.1234567", + "123456789123456789.123456", + "123456789123456789.12345", + "123456789123456789.1234", + "123456789123456789.123", + "123456789123456789.12", + "123456789123456789.1", + "123456789123456789", + "123456789123456780", + "123456789123456700", + "123456789123456000", + "123456789123450000", + "123456789123400000", + "123456789123000000", + "123456789120000000", + "123456789100000000", + "123456789000000000", + "123456780000000000", + "123456700000000000", + "123456000000000000", + "123450000000000000", + "123400000000000000", + "123000000000000000", + "120000000000000000", + "100000000000000000", + "0", + "0") + + evaluateForEachItem(10, -20, -1)((scale, index) => { + checkEvaluation(TruncNumber(decimalInput, scale), BigDecimal(truncDecimalResults(index))) + checkEvaluation(TruncNumber(-decimalInput, scale), -BigDecimal(truncDecimalResults(index))) + }) + // Double + val negativeDouble = -12345678.1234 + val neg_DoubleResults: Seq[Double] = + Seq(-12345678.0, -12345670.0, -12345600.0, -12345000.0, -12340000.0, -12300000.0, + -12000000.0, -10000000.0, 0.0, 0.0) + val positiveDouble = 12345678.1234 + val pos_DoubleResults: Seq[Double] = + Seq(12345678.0, 12345670.0, 12345600.0, 12345000.0, 12340000.0, 12300000.0, 12000000.0, + 10000000.0, 0.0, 0.0) + + evaluateForEachItem(0, -10, -1)((scale, index) => { + checkEvaluation(TruncNumber(positiveDouble, scale), pos_DoubleResults(index)) + checkEvaluation(TruncNumber(negativeDouble, scale), neg_DoubleResults(index)) + }) + + // Float + val negativeFloat = -12345678.123f + val neg_floatResults: Seq[Float] = + Seq(-12345678f, -12345670f, -12345600f, -12345000f, -12340000f, -12300000f, -12000000f, + -10000000f, 0.0f, 0.0f) + val positiveFloat = 12345678.123f + val pos_FloatResults: Seq[Float] = + Seq(12345678f, 12345670f, 12345600f, 12345000f, 12340000f, 12300000f, 12000000f, 10000000f, + 0.0f, 0.0f) + + evaluateForEachItem(0, -10, -1)((scale, index) => { + checkEvaluation(TruncNumber(positiveFloat, scale), pos_FloatResults(index)) + checkEvaluation(TruncNumber(negativeFloat, scale), neg_floatResults(index)) + }) + + // Long + val longInput = 123456789L + val longResults: Seq[Long] = + Seq(123456789L, 123456789L, 123456789L, 123456789L, 123456780L, 123456700L, 123456000L, + 123450000L, 123400000L, 123000000L, 120000000L, 100000000L, 0, 0) + evaluateForEachItem(3, -11, -1)((scale, index) => { + checkEvaluation(TruncNumber(longInput, scale), longResults(index)) + checkEvaluation(TruncNumber(-longInput, scale), -longResults(index)) + }) + + // Int + val intInput = 123456789 + val intResults: Seq[Int] = + Seq(123456789, 123456789, 123456789, 123456789, 123456780, 123456700, 123456000, 123450000, + 123400000, 123000000, 120000000, 100000000, 0, 0) + evaluateForEachItem(3, -11, -1)((scale, index) => { + checkEvaluation(TruncNumber(intInput, scale), intResults(index)) + checkEvaluation(TruncNumber(-intInput, scale), -intResults(index)) + }) + + // Short + val shortInput: Short = 32767 + val shortResults: Seq[Short] = + Seq(32767, 32767, 32767, 32767, 32760, 32700, 32000, 30000, 0, 0) + evaluateForEachItem(3, -6, -1)((scale, index) => { + checkEvaluation(TruncNumber(shortInput, scale), shortResults(index)) + checkEvaluation(TruncNumber(-shortInput, scale), -shortResults(index)) + }) + + // Byte + val byteInput: Byte = 127 + val byteResults: Seq[Byte] = + Seq(127, 127, 127, 127, 120, 100, 0, 0) + evaluateForEachItem(3, -4, -1)((scale, index) => { + checkEvaluation(TruncNumber(byteInput, scale), byteResults(index)) + checkEvaluation(TruncNumber(-byteInput, scale), -byteResults(index)) + }) + + checkEvaluation(TruncNumber( 12345.0, 1), 12345.0) + checkEvaluation(TruncNumber( Decimal(12345.1234), 1), Decimal(12345.1)) + checkEvaluation(TruncNumber( Decimal(1.1), 1), Decimal(1.1)) + checkEvaluation(TruncNumber( 12345.1234, 0), 12345.0) + checkEvaluation(TruncNumber( 12345.1234, -1), 12340.0) + checkEvaluation(TruncNumber( 0.1234, -1), 0.0) + checkEvaluation(TruncNumber( 0.1234, 0), 0.0) + checkEvaluation(TruncNumber( 0.0, 0), 0.0) + checkEvaluation(TruncNumber( 0.0, -1), 0.0) + checkEvaluation(TruncNumber( 0.0, 1), 0.0) + checkEvaluation(TruncNumber( 0.123456789, 0), 0.0) + checkEvaluation(TruncNumber( Decimal(0.123456789), 1), Decimal(0.1)) Review Comment: @srielau , I've modified the code to avoid changing the scale/precision of DECIMAL type. With this new change, out DECIMAL value will retain the scale/precision of input DECIMAL value Can you please review this PR? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org