You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hive.apache.org by ha...@apache.org on 2013/04/23 23:41:06 UTC
svn commit: r1471159 [3/4] - in /hive/branches/vectorization/ql/src:
java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/
java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/
test/org/apache/hadoop/hive/ql/exec/vector/expressions/
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterEqualLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterEqualLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterEqualLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterEqualLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColGreaterEqualLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColGreaterEqualLongColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] >= vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] >= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] >= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] >= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] >= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] >= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColGreaterLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColGreaterLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColGreaterLongColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] > vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] > vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] > vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] > vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] > vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] > vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessDoubleColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessDoubleColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessDoubleColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessDoubleColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColLessDoubleColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColLessDoubleColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ double[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] < vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualDoubleColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualDoubleColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualDoubleColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualDoubleColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColLessEqualDoubleColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColLessEqualDoubleColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ double[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] <= vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessEqualLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColLessEqualLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColLessEqualLongColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] <= vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] <= vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] <= vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColLessLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColLessLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColLessLongColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] < vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] < vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] < vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualDoubleColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualDoubleColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualDoubleColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualDoubleColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColNotEqualDoubleColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColNotEqualDoubleColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ double[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] != vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/FilterLongColNotEqualLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,222 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class FilterLongColNotEqualLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+
+ public FilterLongColNotEqualLongColumn(int colNum1, int colNum2) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ int[] sel = batch.selected;
+ boolean[] nullPos1 = inputColVector1.isNull;
+ boolean[] nullPos2 = inputColVector2.isNull;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ if (inputColVector1.noNulls && inputColVector2.noNulls) {
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ if (!(vector1[0] != vector2[0])) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ } else if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ if (nullPos1[0] || nullPos2[0]) {
+ batch.size = 0;
+ }
+ } else if (inputColVector1.isRepeating) {
+ if (nullPos1[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos2[i]) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos2[i]) {
+ if (vector1[0] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (nullPos2[0]) {
+ batch.size = 0;
+ } else {
+ if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i]) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i]) {
+ if (vector1[i] != vector2[0]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+ } else if (batch.selectedInUse) {
+ int newSize = 0;
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ batch.size = newSize;
+ } else {
+ int newSize = 0;
+ for(int i = 0; i != n; i++) {
+ if (!nullPos1[i] && !nullPos2[i]) {
+ if (vector1[i] != vector2[i]) {
+ sel[newSize++] = i;
+ }
+ }
+ }
+ if (newSize < batch.size) {
+ batch.size = newSize;
+ batch.selectedInUse = true;
+ }
+ }
+ }
+
+ @Override
+ public String getOutputType() {
+ return "boolean";
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return -1;
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddDoubleColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddDoubleColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddDoubleColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddDoubleColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,173 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class LongColAddDoubleColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+ int outputColumn;
+
+ public LongColAddDoubleColumn(int colNum1, int colNum2, int outputColumn) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ this.outputColumn = outputColumn;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
+ DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumn];
+ int[] sel = batch.selected;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ double[] vector2 = inputColVector2.vector;
+
+ double[] outputVector = outputColVector.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ //Handle nulls first
+ if (inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isNull[0] = true;
+ outputColVector.isRepeating = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating || inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ }
+ }
+ }
+
+
+ //Disregard nulls for processing
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ outputVector[0] = vector1[0] + vector2[0];
+ outputColVector.isRepeating = true;
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[0] + vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[0] + vector2[i];
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] + vector2[0];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] + vector2[0];
+ }
+ }
+ } else {
+ if (batch.selectedInUse) {
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] + vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] + vector2[i];
+ }
+ }
+ }
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return outputColumn;
+ }
+
+ @Override
+ public String getOutputType() {
+ return "double";
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColAddLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,173 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class LongColAddLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+ int outputColumn;
+
+ public LongColAddLongColumn(int colNum1, int colNum2, int outputColumn) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ this.outputColumn = outputColumn;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn];
+ int[] sel = batch.selected;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ long[] outputVector = outputColVector.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ //Handle nulls first
+ if (inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isNull[0] = true;
+ outputColVector.isRepeating = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating || inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ }
+ }
+ }
+
+
+ //Disregard nulls for processing
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ outputVector[0] = vector1[0] + vector2[0];
+ outputColVector.isRepeating = true;
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[0] + vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[0] + vector2[i];
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] + vector2[0];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] + vector2[0];
+ }
+ }
+ } else {
+ if (batch.selectedInUse) {
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] + vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] + vector2[i];
+ }
+ }
+ }
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return outputColumn;
+ }
+
+ @Override
+ public String getOutputType() {
+ return "long";
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideDoubleColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideDoubleColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideDoubleColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideDoubleColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,173 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class LongColDivideDoubleColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+ int outputColumn;
+
+ public LongColDivideDoubleColumn(int colNum1, int colNum2, int outputColumn) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ this.outputColumn = outputColumn;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ DoubleColumnVector inputColVector2 = (DoubleColumnVector) batch.cols[colNum2];
+ DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumn];
+ int[] sel = batch.selected;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ double[] vector2 = inputColVector2.vector;
+
+ double[] outputVector = outputColVector.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ //Handle nulls first
+ if (inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isNull[0] = true;
+ outputColVector.isRepeating = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating || inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ }
+ }
+ }
+
+
+ //Disregard nulls for processing
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ outputVector[0] = vector1[0] / vector2[0];
+ outputColVector.isRepeating = true;
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[0] / vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[0] / vector2[i];
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] / vector2[0];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] / vector2[0];
+ }
+ }
+ } else {
+ if (batch.selectedInUse) {
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] / vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] / vector2[i];
+ }
+ }
+ }
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return outputColumn;
+ }
+
+ @Override
+ public String getOutputType() {
+ return "double";
+ }
+}
Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideLongColumn.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideLongColumn.java?rev=1471159&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideLongColumn.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColDivideLongColumn.java Tue Apr 23 21:41:05 2013
@@ -0,0 +1,173 @@
+/**
+ * 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 org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.*;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+public class LongColDivideLongColumn extends VectorExpression {
+ int colNum1;
+ int colNum2;
+ int outputColumn;
+
+ public LongColDivideLongColumn(int colNum1, int colNum2, int outputColumn) {
+ this.colNum1 = colNum1;
+ this.colNum2 = colNum2;
+ this.outputColumn = outputColumn;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
+ LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
+ LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn];
+ int[] sel = batch.selected;
+ int n = batch.size;
+ long[] vector1 = inputColVector1.vector;
+ long[] vector2 = inputColVector2.vector;
+
+ long[] outputVector = outputColVector.vector;
+
+ // return immediately if batch is empty
+ if (n == 0) {
+ return;
+ }
+
+ //Handle nulls first
+ if (inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isNull[0] = true;
+ outputColVector.isRepeating = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector2.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i];
+ }
+ }
+ }
+ } else if (!inputColVector1.noNulls && !inputColVector2.noNulls) {
+ outputColVector.noNulls = false;
+ if (inputColVector1.isRepeating || inputColVector2.isRepeating) {
+ //Output will also be repeating and null
+ outputColVector.isRepeating = true;
+ outputColVector.isNull[0] = true;
+ //return as no further processing is needed
+ return;
+ } else {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputColVector.isNull[i] = inputColVector1.isNull[i] || inputColVector2.isNull[i];
+ }
+ }
+ }
+ }
+
+
+ //Disregard nulls for processing
+ if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
+ //All must be selected otherwise size would be zero
+ //Repeating property will not change.
+ outputVector[0] = vector1[0] / vector2[0];
+ outputColVector.isRepeating = true;
+ } else if (inputColVector1.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[0] / vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[0] / vector2[i];
+ }
+ }
+ } else if (inputColVector2.isRepeating) {
+ if (batch.selectedInUse) {
+ for(int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] / vector2[0];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] / vector2[0];
+ }
+ }
+ } else {
+ if (batch.selectedInUse) {
+ for(int j=0; j != n; j++) {
+ int i = sel[j];
+ outputVector[i] = vector1[i] / vector2[i];
+ }
+ } else {
+ for(int i = 0; i != n; i++) {
+ outputVector[i] = vector1[i] / vector2[i];
+ }
+ }
+ }
+ }
+
+ @Override
+ public int getOutputColumn() {
+ return outputColumn;
+ }
+
+ @Override
+ public String getOutputType() {
+ return "long";
+ }
+}