/*
* Druid - a distributed column store.
* Copyright (C) 2012, 2013 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package io.druid.query.groupby;
import com.google.common.base.Preconditions;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.metamx.common.guava.Sequence;
import com.metamx.common.guava.Sequences;
import io.druid.data.input.MapBasedRow;
import io.druid.data.input.Row;
import io.druid.query.FinalizeResultsQueryRunner;
import io.druid.query.QueryRunner;
import io.druid.query.QueryRunnerFactory;
import io.druid.query.QueryToolChest;
import org.joda.time.DateTime;
import java.util.Map;
/**
*/
public class GroupByQueryRunnerTestHelper
{
public static Iterable<Row> runQuery(QueryRunnerFactory factory, QueryRunner runner, GroupByQuery query)
{
QueryToolChest toolChest = factory.getToolchest();
QueryRunner theRunner = new FinalizeResultsQueryRunner<>(
toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)),
toolChest
);
Sequence<Row> queryResult = theRunner.run(query, Maps.newHashMap());
return Sequences.toList(queryResult, Lists.<Row>newArrayList());
}
public static Row createExpectedRow(final String timestamp, Object... vals)
{
return createExpectedRow(new DateTime(timestamp), vals);
}
public static Row createExpectedRow(final DateTime timestamp, Object... vals)
{
Preconditions.checkArgument(vals.length % 2 == 0);
Map<String, Object> theVals = Maps.newHashMap();
for (int i = 0; i < vals.length; i += 2) {
theVals.put(vals[i].toString(), vals[i + 1]);
}
DateTime ts = new DateTime(timestamp);
return new MapBasedRow(ts, theVals);
}
}