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 2013/04/25 09:22:32 UTC

svn commit: r1475651 - 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/

Author: hashutosh
Date: Thu Apr 25 07:22:31 2013
New Revision: 1475651

URL: http://svn.apache.org/r1475651
Log:
HIVE-4160 : Vectorized expression for unary minus. (Jitendra Pandey via Ashutosh Chauhan)

Added:
    hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/DoubleColUnaryMinus.java
    hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColUnaryMinus.java
    hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/ColumnUnaryMinus.txt
    hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestUnaryMinus.java
Modified:
    hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/CodeGen.java

Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/DoubleColUnaryMinus.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/DoubleColUnaryMinus.java?rev=1475651&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/DoubleColUnaryMinus.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/DoubleColUnaryMinus.java Thu Apr 25 07:22:31 2013
@@ -0,0 +1,101 @@
+/**
+ * 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 DoubleColUnaryMinus extends VectorExpression {
+  int colNum;
+  int outputColumn;
+
+  public DoubleColUnaryMinus(int colNum, int outputColumn) {
+    this.colNum = colNum;
+    this.outputColumn = outputColumn;
+  }
+
+  @Override
+  public void evaluate(VectorizedRowBatch batch) {
+
+    if (childExpressions != null) {
+      this.evaluateChildren(batch);
+    }
+
+    DoubleColumnVector inputColVector = (DoubleColumnVector) batch.cols[colNum];
+    DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumn];
+    int[] sel = batch.selected;
+    boolean[] inputIsNull = inputColVector.isNull;
+    boolean[] outputIsNull = outputColVector.isNull;
+    outputColVector.noNulls = inputColVector.noNulls;
+    int n = batch.size;
+    double[] vector = inputColVector.vector;
+    double[] outputVector = outputColVector.vector;
+    
+    // return immediately if batch is empty
+    if (n == 0) {
+      return;
+    }
+
+    if (inputColVector.isRepeating) {
+      //All must be selected otherwise size would be zero
+      //Repeating property will not change.
+      outputVector[0] = - vector[0];
+      // Even if there are no nulls, we always copy over entry 0. Simplifies code.
+      outputIsNull[0] = inputIsNull[0]; 
+      outputColVector.isRepeating = true;
+    } else if (inputColVector.noNulls) {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+        }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+      }
+      outputColVector.isRepeating = false;
+    } else /* there are nulls */ {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+          outputIsNull[i] = inputIsNull[i];
+	    }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+        System.arraycopy(inputIsNull, 0, outputIsNull, 0, n);
+      }
+      outputColVector.isRepeating = false;
+    }
+  }
+
+  @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/LongColUnaryMinus.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColUnaryMinus.java?rev=1475651&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColUnaryMinus.java (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/gen/LongColUnaryMinus.java Thu Apr 25 07:22:31 2013
@@ -0,0 +1,101 @@
+/**
+ * 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 LongColUnaryMinus extends VectorExpression {
+  int colNum;
+  int outputColumn;
+
+  public LongColUnaryMinus(int colNum, int outputColumn) {
+    this.colNum = colNum;
+    this.outputColumn = outputColumn;
+  }
+
+  @Override
+  public void evaluate(VectorizedRowBatch batch) {
+
+    if (childExpressions != null) {
+      this.evaluateChildren(batch);
+    }
+
+    LongColumnVector inputColVector = (LongColumnVector) batch.cols[colNum];
+    LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn];
+    int[] sel = batch.selected;
+    boolean[] inputIsNull = inputColVector.isNull;
+    boolean[] outputIsNull = outputColVector.isNull;
+    outputColVector.noNulls = inputColVector.noNulls;
+    int n = batch.size;
+    long[] vector = inputColVector.vector;
+    long[] outputVector = outputColVector.vector;
+    
+    // return immediately if batch is empty
+    if (n == 0) {
+      return;
+    }
+
+    if (inputColVector.isRepeating) {
+      //All must be selected otherwise size would be zero
+      //Repeating property will not change.
+      outputVector[0] = - vector[0];
+      // Even if there are no nulls, we always copy over entry 0. Simplifies code.
+      outputIsNull[0] = inputIsNull[0]; 
+      outputColVector.isRepeating = true;
+    } else if (inputColVector.noNulls) {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+        }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+      }
+      outputColVector.isRepeating = false;
+    } else /* there are nulls */ {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+          outputIsNull[i] = inputIsNull[i];
+	    }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+        System.arraycopy(inputIsNull, 0, outputIsNull, 0, n);
+      }
+      outputColVector.isRepeating = false;
+    }
+  }
+
+  @Override
+  public int getOutputColumn() {
+    return outputColumn;
+  }
+  
+  @Override
+  public String getOutputType() {
+    return "long";
+  }
+}

Modified: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/CodeGen.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/CodeGen.java?rev=1475651&r1=1475650&r2=1475651&view=diff
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/CodeGen.java (original)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/CodeGen.java Thu Apr 25 07:22:31 2013
@@ -258,6 +258,8 @@ public class CodeGen {
         generateFilterColumnCompareColumn(tdesc);
       } else if (tdesc[0].equals("ColumnArithmeticColumn")) {
         generateColumnArithmeticColumn(tdesc);
+      } else if (tdesc[0].equals("ColumnUnaryMinus")) {
+        generateColumnUnaryMinus(tdesc);
       } else {
         continue;
       }

Added: hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/ColumnUnaryMinus.txt
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/ColumnUnaryMinus.txt?rev=1475651&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/ColumnUnaryMinus.txt (added)
+++ hive/branches/vectorization/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/templates/ColumnUnaryMinus.txt Thu Apr 25 07:22:31 2013
@@ -0,0 +1,101 @@
+/**
+ * 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 <ClassName> extends VectorExpression {
+  int colNum;
+  int outputColumn;
+
+  public <ClassName>(int colNum, int outputColumn) {
+    this.colNum = colNum;
+    this.outputColumn = outputColumn;
+  }
+
+  @Override
+  public void evaluate(VectorizedRowBatch batch) {
+
+    if (childExpressions != null) {
+      this.evaluateChildren(batch);
+    }
+
+    <InputColumnVectorType> inputColVector = (<InputColumnVectorType>) batch.cols[colNum];
+    <OutputColumnVectorType> outputColVector = (<OutputColumnVectorType>) batch.cols[outputColumn];
+    int[] sel = batch.selected;
+    boolean[] inputIsNull = inputColVector.isNull;
+    boolean[] outputIsNull = outputColVector.isNull;
+    outputColVector.noNulls = inputColVector.noNulls;
+    int n = batch.size;
+    <OperandType>[] vector = inputColVector.vector;
+    <ReturnType>[] outputVector = outputColVector.vector;
+    
+    // return immediately if batch is empty
+    if (n == 0) {
+      return;
+    }
+
+    if (inputColVector.isRepeating) {
+      //All must be selected otherwise size would be zero
+      //Repeating property will not change.
+      outputVector[0] = - vector[0];
+      // Even if there are no nulls, we always copy over entry 0. Simplifies code.
+      outputIsNull[0] = inputIsNull[0]; 
+      outputColVector.isRepeating = true;
+    } else if (inputColVector.noNulls) {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+        }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+      }
+      outputColVector.isRepeating = false;
+    } else /* there are nulls */ {
+      if (batch.selectedInUse) {
+        for(int j=0; j != n; j++) {
+          int i = sel[j];
+          outputVector[i] = - vector[i];
+          outputIsNull[i] = inputIsNull[i];
+	    }
+      } else {
+        for(int i = 0; i != n; i++) {
+          outputVector[i] = - vector[i];
+        }
+        System.arraycopy(inputIsNull, 0, outputIsNull, 0, n);
+      }
+      outputColVector.isRepeating = false;
+    }
+  }
+
+  @Override
+  public int getOutputColumn() {
+    return outputColumn;
+  }
+  
+  @Override
+  public String getOutputType() {
+    return "<ReturnType>";
+  }
+}

Added: hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestUnaryMinus.java
URL: http://svn.apache.org/viewvc/hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestUnaryMinus.java?rev=1475651&view=auto
==============================================================================
--- hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestUnaryMinus.java (added)
+++ hive/branches/vectorization/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestUnaryMinus.java Thu Apr 25 07:22:31 2013
@@ -0,0 +1,42 @@
+/**
+ * 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;
+
+import static org.junit.Assert.assertEquals;
+
+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.expressions.gen.LongColUnaryMinus;
+import org.junit.Test;
+
+public class TestUnaryMinus {
+
+  @Test
+  public void testUnaryMinus() {
+    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(1024, 2, 23);
+    LongColUnaryMinus expr = new LongColUnaryMinus(0,1);
+    expr.evaluate(vrg);
+    //verify
+    long[] inVector = ((LongColumnVector) vrg.cols[0]).vector;
+    long[] outVector = ((LongColumnVector) vrg.cols[1]).vector;
+    for (int i = 0; i < outVector.length; i++) {
+      assertEquals(0, inVector[i]+outVector[i]);
+    }
+  }
+}