org.datacleaner.beans.valuedist.YearDistributionAnalyzer Maven / Gradle / Ivy
/**
* 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.beans.valuedist;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.SortedSet;
import java.util.TreeSet;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.atomic.AtomicInteger;
import javax.inject.Named;
import org.datacleaner.api.Analyzer;
import org.datacleaner.api.Categorized;
import org.datacleaner.api.Concurrent;
import org.datacleaner.api.Configured;
import org.datacleaner.api.Description;
import org.datacleaner.api.Distributed;
import org.datacleaner.api.Initialize;
import org.datacleaner.api.InputColumn;
import org.datacleaner.api.InputRow;
import org.datacleaner.components.categories.DateAndTimeCategory;
import org.datacleaner.result.Crosstab;
import org.datacleaner.result.CrosstabDimension;
import org.datacleaner.result.CrosstabNavigator;
import org.datacleaner.result.CrosstabResult;
@Named("Year distribution")
@Description("Finds the distribution of years from Date values.")
@Concurrent(true)
@Categorized(DateAndTimeCategory.class)
@Distributed(reducer=DatePartDistributionResultReducer.class)
public class YearDistributionAnalyzer implements Analyzer {
private final Map, ConcurrentMap> distributionMap;
@Configured
InputColumn[] dateColumns;
public YearDistributionAnalyzer() {
distributionMap = new HashMap, ConcurrentMap>();
}
@Initialize
public void init() {
for (InputColumn col : dateColumns) {
final ConcurrentMap countMap = new ConcurrentHashMap();
distributionMap.put(col, countMap);
}
}
@Override
public void run(InputRow row, int distinctCount) {
for (InputColumn col : dateColumns) {
final Date value = row.getValue(col);
if (value != null) {
final Calendar c = Calendar.getInstance();
c.setTime(value);
final int year = c.get(Calendar.YEAR);
final ConcurrentMap countMap = distributionMap.get(col);
final AtomicInteger previousCount = countMap.putIfAbsent(year, new AtomicInteger(distinctCount));
if (previousCount != null) {
previousCount.addAndGet(distinctCount);
}
}
}
}
@Override
public CrosstabResult getResult() {
final CrosstabDimension columnDimension = new CrosstabDimension("Column");
final CrosstabDimension yearDimension = new CrosstabDimension("Year");
final SortedSet years = new TreeSet();
for (InputColumn col : dateColumns) {
final Map countMap = distributionMap.get(col);
final Set yearsOfColumn = countMap.keySet();
years.addAll(yearsOfColumn);
}
for (Integer year : years) {
yearDimension.addCategory(year + "");
}
final Crosstab crosstab = new Crosstab(Integer.class, columnDimension, yearDimension);
for (InputColumn col : dateColumns) {
columnDimension.addCategory(col.getName());
final CrosstabNavigator nav = crosstab.where(columnDimension, col.getName());
final Map countMap = distributionMap.get(col);
for (Entry entry : countMap.entrySet()) {
final Integer year = entry.getKey();
final AtomicInteger count = entry.getValue();
nav.where(yearDimension, year + "").put(count.intValue());
}
}
return new CrosstabResult(crosstab);
}
// used only for unittesting
public void setDateColumns(InputColumn[] dateColumns) {
this.dateColumns = dateColumns;
}
}
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