content: /*
   * 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.carbondata.spark.vectorreader;
  
  import java.math.BigDecimal;
  
  import org.apache.carbondata.core.metadata.datatype.DataType;
  import org.apache.carbondata.core.scan.result.vector.CarbonColumnVector;
  import org.apache.carbondata.core.scan.result.vector.CarbonDictionary;
  import org.apache.carbondata.core.scan.scanner.LazyPageLoader;
  
  import org.apache.spark.sql.CarbonToSparkAdapter;
  import org.apache.spark.sql.CarbonVectorProxy;
  import org.apache.spark.sql.carbondata.execution.datasources.CarbonSparkDataSourceUtil;
  import org.apache.spark.sql.types.Decimal;
  
  class ColumnarVectorWrapper implements CarbonColumnVector {
  
    private CarbonVectorProxy.ColumnVectorProxy sparkColumnVectorProxy;
  
    private CarbonVectorProxy carbonVectorProxy;
  
    private boolean[] filteredRows;
  
    private int counter;
  
    private int ordinal;
  
    private boolean isDictionary;
  
    private boolean filteredRowsExist;
  
    private DataType blockDataType;
  
    private CarbonColumnVector dictionaryVector;
  
    private String carbonDataFileWrittenVersion;
  
    ColumnarVectorWrapper(CarbonVectorProxy writableColumnVector, boolean[] filteredRows,
        int ordinal) {
      this.sparkColumnVectorProxy = writableColumnVector.getColumnVector(ordinal);
      this.filteredRows = filteredRows;
      this.carbonVectorProxy = writableColumnVector;
      this.ordinal = ordinal;
    }
  
    @Override
    public void putBoolean(int rowId, boolean value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putBoolean(counter++, value);
      }
    }
  
    @Override
    public void putFloat(int rowId, float value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putFloat(counter++, value);
      }
    }
  
    @Override
    public void putShort(int rowId, short value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putShort(counter++, value);
      }
    }
  
    @Override
    public void putShorts(int rowId, int count, short value) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putShort(counter++, value);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putShorts(rowId, count, value);
      }
    }
  
    @Override
    public void putInt(int rowId, int value) {
      if (!filteredRows[rowId]) {
        if (isDictionary) {
          sparkColumnVectorProxy.putDictionaryInt(counter++, value);
        } else {
          sparkColumnVectorProxy.putInt(counter++, value);
        }
      }
    }
  
    @Override
    public void putInts(int rowId, int count, int value) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putInt(counter++, value);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putInts(rowId, count, value);
      }
    }
  
    @Override
    public void putLong(int rowId, long value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy
            .putLong(counter++, CarbonToSparkAdapter.rebaseTime(value, carbonDataFileWrittenVersion));
      }
    }
  
    @Override
    public void putLongs(int rowId, int count, long value) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putLong(counter++, value);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putLongs(rowId, count, value);
      }
    }
  
    @Override
    public void putDecimal(int rowId, BigDecimal value, int precision) {
      if (!filteredRows[rowId]) {
        Decimal toDecimal = Decimal.apply(value);
        sparkColumnVectorProxy.putDecimal(counter++, toDecimal, precision);
      }
    }
  
    @Override
    public void putDecimals(int rowId, int count, BigDecimal value, int precision) {
      Decimal decimal = Decimal.apply(value);
      for (int i = 0; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putDecimal(counter++, decimal, precision);
        }
        rowId++;
      }
    }
  
    @Override
    public void putDouble(int rowId, double value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putDouble(counter++, value);
      }
    }
  
    @Override
    public void putDoubles(int rowId, int count, double value) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putDouble(counter++, value);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putDoubles(rowId, count, value);
      }
    }
  
    @Override
    public void putByte(int rowId, byte value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putByte(counter++, value);
      }
    }
  
    @Override
    public void putByteArray(int rowId, byte[] value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putByteArray(counter++, value, 0, value.length);
      }
    }
  
    @Override
    public void putByteArray(int rowId, int count, byte[] value) {
      for (int i = 0; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putByteArray(counter++, value);
        }
        rowId++;
      }
    }
  
    @Override
    public void putByteArray(int rowId, int offset, int length, byte[] value) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putByteArray(counter++, value, offset, length);
      }
    }
  
    @Override
    public void putNull(int rowId) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putNull(counter++);
      }
    }
  
    @Override
    public void putNulls(int rowId, int count) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putNull(counter++);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putNulls(rowId, count);
      }
    }
  
    @Override
    public void putNotNull(int rowId) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putNotNull(counter++);
      }
    }
  
    @Override
    public void putNotNull(int rowId, int count) {
      if (filteredRowsExist) {
        for (int i = 0; i < count; i++) {
          if (!filteredRows[rowId]) {
            sparkColumnVectorProxy.putNotNull(counter++);
          }
          rowId++;
        }
      } else {
        sparkColumnVectorProxy.putNotNulls(rowId, count);
      }
    }
  
    @Override
    public boolean isNull(int rowId) {
      return sparkColumnVectorProxy.isNullAt(rowId);
    }
  
    @Override
    public void putObject(int rowId, Object obj) {
      //TODO handle complex types
    }
  
    @Override
    public Object getData(int rowId) {
      //TODO handle complex types
      return null;
    }
  
    @Override
    public void reset() {
      counter = 0;
      filteredRowsExist = false;
      if (null != dictionaryVector) {
        dictionaryVector.reset();
      }
    }
  
    @Override
    public DataType getType() {
      return CarbonSparkDataSourceUtil
          .convertSparkToCarbonDataType(sparkColumnVectorProxy.dataType());
    }
  
    @Override
    public DataType getBlockDataType() {
      return blockDataType;
    }
  
    @Override
    public void setBlockDataType(DataType blockDataType) {
      this.blockDataType = blockDataType;
    }
  
    @Override
    public void setFilteredRowsExist(boolean filteredRowsExist) {
      this.filteredRowsExist = filteredRowsExist;
    }
  
    @Override
    public void setCarbonDataFileWrittenVersion(String carbonDataFileWrittenVersion) {
      this.carbonDataFileWrittenVersion = carbonDataFileWrittenVersion;
    }
  
    @Override
    public void setDictionary(CarbonDictionary dictionary) {
      sparkColumnVectorProxy.setDictionary(dictionary);
    }
  
    @Override
    public boolean hasDictionary() {
      return sparkColumnVectorProxy.hasDictionary();
    }
  
    public void reserveDictionaryIds() {
      sparkColumnVectorProxy.reserveDictionaryIds(carbonVectorProxy.numRows());
      dictionaryVector = new ColumnarVectorWrapper(carbonVectorProxy, filteredRows, ordinal);
      ((ColumnarVectorWrapper) dictionaryVector).isDictionary = true;
    }
  
    @Override
    public CarbonColumnVector getDictionaryVector() {
      return dictionaryVector;
    }
  
    @Override
    public void putFloats(int rowId, int count, float[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putFloat(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void putShorts(int rowId, int count, short[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putShort(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void putInts(int rowId, int count, int[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putInt(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void putLongs(int rowId, int count, long[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putLong(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void putDoubles(int rowId, int count, double[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putDouble(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void putBytes(int rowId, int count, byte[] src, int srcIndex) {
      for (int i = srcIndex; i < count; i++) {
        if (!filteredRows[rowId]) {
          sparkColumnVectorProxy.putByte(counter++, src[i]);
        }
        rowId++;
      }
    }
  
    @Override
    public void setLazyPage(LazyPageLoader lazyPage) {
      lazyPage.loadPage();
    }
  
    @Override
    public void putArray(int rowId, int offset, int length) {
      if (!filteredRows[rowId]) {
        sparkColumnVectorProxy.putArray(rowId, offset, length);
      }
    }
  
    @Override
    public void putAllByteArray(byte[] data, int offset, int length) {
      sparkColumnVectorProxy.putAllByteArray(data, offset, length);
    }
  }
  