/*
 * 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.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.<ColumnVectorType>;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import <ScalarImport>;
import org.apache.hadoop.hive.ql.metadata.HiveException;
#IF DECIMAL
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
#ENDIF DECIMAL

/**
 * Compute IF(expr1, expr2, expr3) for 3 input column expressions.
 * The first is always a boolean (LongColumnVector).
 * The second is a column or non-constant expression result.
 * The third is a constant value.
 */
public class <ClassName> extends VectorExpression {

  private static final long serialVersionUID = 1L;

  private final <ScalarType> arg3Scalar;

  public <ClassName>(int arg1Column, int arg2Column, <ScalarType> arg3Scalar,
      int outputColumnNum) {
    super(arg1Column, arg2Column, outputColumnNum);
    this.arg3Scalar = arg3Scalar;
  }

  public <ClassName>() {
    super();

    // Dummy final assignments.
    arg3Scalar = null;
  }

  @Override
  public void evaluate(VectorizedRowBatch batch) throws HiveException {

    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[inputColumnNum[0]];
    <ColumnVectorType> arg2ColVector = (<ColumnVectorType>) batch.cols[inputColumnNum[1]];
    boolean[] arg2IsNull = arg2ColVector.isNull;
#IF DECIMAL
    HiveDecimalWritable[] vector2 = arg2ColVector.vector;
#ENDIF DECIMAL
    <ColumnVectorType> outputColVector = (<ColumnVectorType>) batch.cols[outputColumnNum];
    int[] sel = batch.selected;
    boolean[] outputIsNull = outputColVector.isNull;

    // We do not need to do a column reset since we are carefully changing the output.
    outputColVector.isRepeating = false;

    int n = batch.size;
    long[] vector1 = arg1ColVector.vector;

    // return immediately if batch is empty
    if (n == 0) {
      return;
    }

    if (arg1ColVector.isRepeating) {
      if ((arg1ColVector.noNulls || !arg1ColVector.isNull[0]) && vector1[0] == 1) {
        arg2ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector);
      } else {
        outputColVector.fill(arg3Scalar);
      }
      return;
    }

    // Extend any repeating values and noNulls indicator in the inputs to
    // reduce the number of code paths needed below.
    arg2ColVector.flatten(batch.selectedInUse, sel, n);

    if (arg1ColVector.noNulls) {

      // FUTURE: We could check arg2ColVector.noNulls and optimize these loops.
      if (batch.selectedInUse) {
        for(int j = 0; j != n; j++) {
          int i = sel[j];
          if (vector1[i] == 1) {
            if (!arg2IsNull[i]) {
              outputIsNull[i] = false;
#IF DECIMAL
              outputColVector.set(i, vector2[i]);
#ELSE
              outputColVector.set(i, arg2ColVector.asScratch<ObjectName>(i));
#ENDIF DECIMAL
            } else {
              outputIsNull[i] = true;
              outputColVector.noNulls = false;
            }
          } else {
            outputIsNull[i] = false;
            outputColVector.set(i, arg3Scalar);
          }
        }
      } else {
        for(int i = 0; i != n; i++) {
          if (vector1[i] == 1) {
            if (!arg2IsNull[i]) {
              outputIsNull[i] = false;
#IF DECIMAL
              outputColVector.set(i, vector2[i]);
#ELSE
              outputColVector.set(i, arg2ColVector.asScratch<ObjectName>(i));
#ENDIF DECIMAL
            } else {
              outputIsNull[i] = true;
              outputColVector.noNulls = false;
            }
          } else {
            outputIsNull[i] = false;
            outputColVector.set(i, arg3Scalar);
          }
        }
      }
    } else /* there are nulls */ {

      if (batch.selectedInUse) {
        for(int j = 0; j != n; j++) {
          int i = sel[j];
          if (!arg1ColVector.isNull[i] && vector1[i] == 1) {
            if (!arg2IsNull[i]) {
              outputIsNull[i] = false;
#IF DECIMAL
              outputColVector.set(i, vector2[i]);
#ELSE
              outputColVector.set(i, arg2ColVector.asScratch<ObjectName>(i));
#ENDIF DECIMAL
            } else {
              outputIsNull[i] = true;
              outputColVector.noNulls = false;
            }
          } else {
            outputIsNull[i] = false;
            outputColVector.set(i, arg3Scalar);
          }
        }
      } else {
        for(int i = 0; i != n; i++) {
          if (!arg1ColVector.isNull[i] && vector1[i] == 1) {
            if (!arg2IsNull[i]) {
              outputIsNull[i] = false;
#IF DECIMAL
              outputColVector.set(i, vector2[i]);
#ELSE
              outputColVector.set(i, arg2ColVector.asScratch<ObjectName>(i));
#ENDIF DECIMAL
            } else {
              outputIsNull[i] = true;
              outputColVector.noNulls = false;
            }
          } else {
            outputIsNull[i] = false;
            outputColVector.set(i, arg3Scalar);
          }
        }
      }
    }

    // restore repeating and no nulls indicators
    arg2ColVector.unFlatten();
  }

  @Override
  public String vectorExpressionParameters() {
    return getColumnParamString(0, inputColumnNum[0]) + ", " + getColumnParamString(1, inputColumnNum[1]) +
        ", val "+ arg3Scalar;
  }

  @Override
  public VectorExpressionDescriptor.Descriptor getDescriptor() {
    return (new VectorExpressionDescriptor.Builder())
        .setMode(
            VectorExpressionDescriptor.Mode.PROJECTION)
        .setNumArguments(3)
        .setArgumentTypes(
            VectorExpressionDescriptor.ArgumentType.getType("int_family"),
            VectorExpressionDescriptor.ArgumentType.getType("<TypeName>"),
            VectorExpressionDescriptor.ArgumentType.getType("<TypeName>"))
        .setInputExpressionTypes(
            VectorExpressionDescriptor.InputExpressionType.COLUMN,
            VectorExpressionDescriptor.InputExpressionType.COLUMN,
            VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
  }
}
