/**
* 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.functions;
import org.apache.metamodel.csv.CsvConfiguration;
import org.apache.spark.api.java.function.Function;
import au.com.bytecode.opencsv.CSVParser;
public final class CsvParserFunction implements Function<String, Object[]> {
private static final long serialVersionUID = 1L;
private final CsvConfiguration _csvConfiguration;
public CsvParserFunction(final CsvConfiguration csvConfiguration) {
if (csvConfiguration.isMultilineValues()) {
throw new IllegalStateException("Multiline CSV files are not supported");
}
final String encoding = csvConfiguration.getEncoding();
switch (encoding.toUpperCase()) {
case "UTF-8":
case "UTF8":
// supported
break;
default:
throw new IllegalStateException(
"Unsupported encoding: '" + encoding + "'. CSV files on Hadoop must be UTF-8 encoded.");
}
_csvConfiguration = csvConfiguration;
}
@Override
public Object[] call(final String csvLine) throws Exception {
final CSVParser csvParser =
new CSVParser(_csvConfiguration.getSeparatorChar(), _csvConfiguration.getQuoteChar(),
_csvConfiguration.getEscapeChar());
return csvParser.parseLine(csvLine);
}
}