/**
* DataCleaner (community edition)
* Copyright (C) 2014 Neopost - Customer Information Management
*
* This copyrighted material is made available to anyone wishing to use, modify,
* copy, or redistribute it subject to the terms and conditions of the GNU
* Lesser General Public License, as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this distribution; if not, write to:
* Free Software Foundation, Inc.
* 51 Franklin Street, Fifth Floor
* Boston, MA 02110-1301 USA
*/
package org.datacleaner.spark;
import org.apache.spark.api.java.function.Function;
import scala.Tuple2;
public class SkipHeaderLineFunction implements Function<Tuple2<Object[], Long>, Boolean> {
private static final long serialVersionUID = 1L;
private final int _linesToSkip;
public SkipHeaderLineFunction(final int columnNameLineNumber) {
_linesToSkip = columnNameLineNumber;
}
@Override
public Boolean call(final Tuple2<Object[], Long> v1) throws Exception {
return v1._2 >= _linesToSkip;
}
}