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Posted to commits@hive.apache.org by om...@apache.org on 2013/05/22 23:04:35 UTC
svn commit: r1485421 [5/6] - in /hive/branches/vectorization/ql/src:
java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/
test/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/
test/org/apache/hadoop/hive/ql/exec/vector/util/
Added: hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/TestColumnScalarOperationVectorExpressionEvaluation.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/TestColumnScalarOperationVectorExpressionEvaluation.java?rev=1485421&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/TestColumnScalarOperationVectorExpressionEvaluation.java (added)
+++ hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/TestColumnScalarOperationVectorExpressionEvaluation.java Wed May 22 21:04:35 2013
@@ -0,0 +1,11044 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hadoop.hive.ql.exec.vector.expressions.gen;
+
+import static org.junit.Assert.assertEquals;
+import java.util.Random;
+import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.hadoop.hive.ql.exec.vector.util.VectorizedRowGroupGenUtil;
+import org.junit.Test;
+
+
+/**
+ *
+ * TestColumnScalarOperationVectorExpressionEvaluation.
+ *
+ */
+public class TestColumnScalarOperationVectorExpressionEvaluation{
+
+ private static final int BATCH_SIZE = 100;
+ private static final long SEED = 0xfa57;
+
+
+ @Test
+ public void testLongColAddLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColAddLongScalar vectorExpression =
+ new LongColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColAddLongScalar vectorExpression =
+ new LongColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColAddLongScalar vectorExpression =
+ new LongColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColAddLongScalar vectorExpression =
+ new LongColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColAddLongScalar vectorExpression =
+ new LongColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColSubtractLongScalar vectorExpression =
+ new LongColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColSubtractLongScalar vectorExpression =
+ new LongColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColSubtractLongScalar vectorExpression =
+ new LongColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColSubtractLongScalar vectorExpression =
+ new LongColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColSubtractLongScalar vectorExpression =
+ new LongColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColMultiplyLongScalar vectorExpression =
+ new LongColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColMultiplyLongScalar vectorExpression =
+ new LongColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColMultiplyLongScalar vectorExpression =
+ new LongColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColMultiplyLongScalar vectorExpression =
+ new LongColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColMultiplyLongScalar vectorExpression =
+ new LongColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColModuloLongScalar vectorExpression =
+ new LongColModuloLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColModuloLongScalar vectorExpression =
+ new LongColModuloLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColModuloLongScalar vectorExpression =
+ new LongColModuloLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColModuloLongScalar vectorExpression =
+ new LongColModuloLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ LongColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ LongColModuloLongScalar vectorExpression =
+ new LongColModuloLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddDoubleScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColAddDoubleScalar vectorExpression =
+ new LongColAddDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddDoubleScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColAddDoubleScalar vectorExpression =
+ new LongColAddDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddDoubleScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColAddDoubleScalar vectorExpression =
+ new LongColAddDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddDoubleScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColAddDoubleScalar vectorExpression =
+ new LongColAddDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColAddDoubleScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColAddDoubleScalar vectorExpression =
+ new LongColAddDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractDoubleScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColSubtractDoubleScalar vectorExpression =
+ new LongColSubtractDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractDoubleScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColSubtractDoubleScalar vectorExpression =
+ new LongColSubtractDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractDoubleScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColSubtractDoubleScalar vectorExpression =
+ new LongColSubtractDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractDoubleScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColSubtractDoubleScalar vectorExpression =
+ new LongColSubtractDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColSubtractDoubleScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColSubtractDoubleScalar vectorExpression =
+ new LongColSubtractDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyDoubleScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColMultiplyDoubleScalar vectorExpression =
+ new LongColMultiplyDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyDoubleScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColMultiplyDoubleScalar vectorExpression =
+ new LongColMultiplyDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyDoubleScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColMultiplyDoubleScalar vectorExpression =
+ new LongColMultiplyDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyDoubleScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColMultiplyDoubleScalar vectorExpression =
+ new LongColMultiplyDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColMultiplyDoubleScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColMultiplyDoubleScalar vectorExpression =
+ new LongColMultiplyDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColDivideDoubleScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColDivideDoubleScalar vectorExpression =
+ new LongColDivideDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColDivideDoubleScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColDivideDoubleScalar vectorExpression =
+ new LongColDivideDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColDivideDoubleScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColDivideDoubleScalar vectorExpression =
+ new LongColDivideDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColDivideDoubleScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColDivideDoubleScalar vectorExpression =
+ new LongColDivideDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColDivideDoubleScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColDivideDoubleScalar vectorExpression =
+ new LongColDivideDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloDoubleScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColModuloDoubleScalar vectorExpression =
+ new LongColModuloDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloDoubleScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColModuloDoubleScalar vectorExpression =
+ new LongColModuloDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloDoubleScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColModuloDoubleScalar vectorExpression =
+ new LongColModuloDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloDoubleScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColModuloDoubleScalar vectorExpression =
+ new LongColModuloDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testLongColModuloDoubleScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ LongColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateLongColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ double scalarValue = 0;
+ do {
+ scalarValue = rand.nextDouble();
+ } while(scalarValue == 0);
+
+ LongColModuloDoubleScalar vectorExpression =
+ new LongColModuloDoubleScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColAddLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColAddLongScalar vectorExpression =
+ new DoubleColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColAddLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColAddLongScalar vectorExpression =
+ new DoubleColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColAddLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColAddLongScalar vectorExpression =
+ new DoubleColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColAddLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColAddLongScalar vectorExpression =
+ new DoubleColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColAddLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColAddLongScalar vectorExpression =
+ new DoubleColAddLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColSubtractLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColSubtractLongScalar vectorExpression =
+ new DoubleColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColSubtractLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColSubtractLongScalar vectorExpression =
+ new DoubleColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColSubtractLongScalarOutNullsColNulls() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColSubtractLongScalar vectorExpression =
+ new DoubleColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColSubtractLongScalarOutNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ false, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColSubtractLongScalar vectorExpression =
+ new DoubleColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColSubtractLongScalarOutNullsColRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ false, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColSubtractLongScalar vectorExpression =
+ new DoubleColSubtractLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColMultiplyLongScalarOutRepeatsColNullsRepeats() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
+ true, BATCH_SIZE, rand);
+
+ DoubleColumnVector inputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(true,
+ true, BATCH_SIZE, rand);
+
+ VectorizedRowBatch rowBatch = new VectorizedRowBatch(2, BATCH_SIZE);
+ rowBatch.cols[0] = inputColumnVector;
+ rowBatch.cols[1] = outputColumnVector;
+
+ long scalarValue = 0;
+ do {
+ scalarValue = rand.nextLong();
+ } while(scalarValue == 0);
+
+ DoubleColMultiplyLongScalar vectorExpression =
+ new DoubleColMultiplyLongScalar(0, scalarValue, 1);
+
+ vectorExpression.evaluate(rowBatch);
+
+ assertEquals(
+ "Output column vector is repeating state does not match operand column",
+ inputColumnVector.isRepeating, outputColumnVector.isRepeating);
+
+ assertEquals(
+ "Output column vector no nulls state does not match operand column",
+ inputColumnVector.noNulls, outputColumnVector.noNulls);
+
+ if(!outputColumnVector.noNulls && !outputColumnVector.isRepeating) {
+ for(int i = 0; i < BATCH_SIZE; i++) {
+ //null vectors are safe to check, as they are always initialized to match the data vector
+ assertEquals("Output vector doesn't match input vector's is null state for index",
+ inputColumnVector.isNull[i], outputColumnVector.isNull[i]);
+ }
+ }
+ }
+
+ @Test
+ public void testDoubleColMultiplyLongScalar() {
+
+ Random rand = new Random(SEED);
+
+ DoubleColumnVector outputColumnVector =
+ VectorizedRowGroupGenUtil.generateDoubleColumnVector(false,
[... 8534 lines stripped ...]