Github user ravipesala commented on a diff in the pull request:

    https://github.com/apache/carbondata/pull/2819#discussion_r226863618
  
    --- Diff: 
integration/spark-datasource/src/main/scala/org/apache/carbondata/spark/vectorreader/ColumnarVectorWrapperDirect.java
 ---
    @@ -0,0 +1,223 @@
    +/*
    + * 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.spark.sql.CarbonVectorProxy;
    +import 
org.apache.spark.sql.carbondata.execution.datasources.CarbonSparkDataSourceUtil;
    +import org.apache.spark.sql.types.Decimal;
    +
    +/**
    + * Fills the vector directly with out considering any deleted rows.
    + */
    +class ColumnarVectorWrapperDirect implements CarbonColumnVector {
    +
    +  protected CarbonVectorProxy.ColumnVectorProxy sparkColumnVectorProxy;
    +
    +  protected CarbonVectorProxy carbonVectorProxy;
    --- End diff --
    
    ok


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