org.apache.metamodel.csv.SingleLineCsvRow Maven / Gradle / Ivy
/**
* 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.metamodel.csv;
import java.io.IOException;
import java.io.ObjectOutputStream;
import org.apache.metamodel.MetaModelException;
import org.apache.metamodel.data.AbstractRow;
import org.apache.metamodel.data.DataSetHeader;
import org.apache.metamodel.data.Style;
import org.apache.metamodel.schema.Column;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Specialized row implementation for single-line CSV values
*/
final class SingleLineCsvRow extends AbstractRow {
private static final long serialVersionUID = 1L;
private static final Logger logger = LoggerFactory.getLogger(SingleLineCsvRow.class);
private final transient SingleLineCsvDataSet _dataSet;
private final String _line;
private final int _columnsInTable;
private final boolean _failOnInconsistentRowLength;
private final int _rowNumber;
private final DataSetHeader _header;
private String[] _values;
public SingleLineCsvRow(SingleLineCsvDataSet dataSet, final String line, final int columnsInTable,
final boolean failOnInconsistentRowLength, final int rowNumber) {
_dataSet = dataSet;
_header = dataSet.getHeader();
_line = line;
_columnsInTable = columnsInTable;
_failOnInconsistentRowLength = failOnInconsistentRowLength;
_rowNumber = rowNumber;
_values = null;
}
private String[] getValuesInternal() {
if (_values == null) {
final String[] csvValues = parseLine();
if (_failOnInconsistentRowLength) {
if (_columnsInTable != csvValues.length) {
throw new InconsistentRowLengthException(_columnsInTable, SingleLineCsvRow.this, csvValues,
_rowNumber);
}
}
// convert the line's values into the row values that where
// requested
final int size = _header.size();
final String[] rowValues = new String[size];
for (int i = 0; i < size; i++) {
final Column column = _header.getSelectItem(i).getColumn();
final int columnNumber = column.getColumnNumber();
if (columnNumber < csvValues.length) {
rowValues[i] = csvValues[columnNumber];
} else {
// Ticket #125: Missing values should be interpreted as
// null.
rowValues[i] = null;
}
}
_values = rowValues;
}
return _values;
}
private void writeObject(ObjectOutputStream stream) throws IOException {
// ensure that values are loaded
getValues();
stream.defaultWriteObject();
}
private String[] parseLine() {
try {
return _dataSet.getCsvParser().parseLine(_line);
} catch (IOException e) {
if (_failOnInconsistentRowLength) {
throw new MetaModelException("Failed to parse CSV line no. " + _rowNumber + ": " + _line, e);
} else {
logger.warn(
"Encountered unparseable line no. {}, returning line as a single value with trailing nulls: {}",
_rowNumber, _line);
String[] csvValues = new String[_columnsInTable];
csvValues[0] = _line;
return csvValues;
}
}
}
@Override
public Object getValue(int index) throws IndexOutOfBoundsException {
final String[] values = getValuesInternal();
assert values != null;
return values[index];
}
@Override
public Style getStyle(int index) throws IndexOutOfBoundsException {
return Style.NO_STYLE;
}
@Override
protected DataSetHeader getHeader() {
return _header;
}
}