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* 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.druid.indexer;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import org.apache.druid.data.input.impl.CSVParseSpec;
import org.apache.druid.data.input.impl.DimensionsSpec;
import org.apache.druid.data.input.impl.StringInputRowParser;
import org.apache.druid.data.input.impl.TimestampSpec;
import org.apache.druid.indexer.partitions.SingleDimensionPartitionsSpec;
import org.apache.druid.java.util.common.FileUtils;
import org.apache.druid.java.util.common.Intervals;
import org.apache.druid.java.util.common.granularity.Granularities;
import org.apache.druid.query.aggregation.AggregatorFactory;
import org.apache.druid.query.aggregation.LongSumAggregatorFactory;
import org.apache.druid.segment.indexing.DataSchema;
import org.apache.druid.segment.indexing.granularity.UniformGranularitySpec;
import org.apache.druid.timeline.partition.SingleDimensionShardSpec;
import org.junit.After;
import org.junit.Assert;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import javax.annotation.Nullable;
import java.io.File;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.Map;
@RunWith(Parameterized.class)
public class DeterminePartitionsJobTest
{
@Nullable
private static final Long NO_TARGET_ROWS_PER_SEGMENT = null;
@Nullable
private static final Long NO_MAX_ROWS_PER_SEGMENT = null;
private final HadoopDruidIndexerConfig config;
private final int expectedNumOfSegments;
private final int[] expectedNumOfShardsForEachSegment;
private final String[][][] expectedStartEndForEachShard;
private final File dataFile;
private final File tmpDir;
@Parameterized.Parameters(name = "assumeGrouped={0}, "
+ "targetRowsPerSegment={1}, "
+ "maxRowsPerSegment={2}, "
+ "interval={3}"
+ "expectedNumOfSegments={4}, "
+ "expectedNumOfShardsForEachSegment={5}, "
+ "expectedStartEndForEachShard={6}, "
+ "data={7}")
public static Collection<Object[]> constructFeed()
{
return Arrays.asList(
new Object[][]{
{
// Test partitoning by targetRowsPerSegment
true,
2,
NO_MAX_ROWS_PER_SEGMENT,
"2014-10-22T00:00:00Z/P1D",
1,
new int[]{5},
new String[][][]{
{
{null, "c.example.com"},
{"c.example.com", "e.example.com"},
{"e.example.com", "g.example.com"},
{"g.example.com", "i.example.com"},
{"i.example.com", null}
}
},
ImmutableList.of(
"2014102200,a.example.com,CN,100",
"2014102200,b.example.com,US,50",
"2014102200,c.example.com,US,200",
"2014102200,d.example.com,US,250",
"2014102200,e.example.com,US,123",
"2014102200,f.example.com,US,567",
"2014102200,g.example.com,US,11",
"2014102200,h.example.com,US,251",
"2014102200,i.example.com,US,963",
"2014102200,j.example.com,US,333"
)
},
{
true,
NO_TARGET_ROWS_PER_SEGMENT,
2,
"2014-10-22T00:00:00Z/P1D",
1,
new int[]{5},
new String[][][]{
{
{null, "c.example.com"},
{"c.example.com", "e.example.com"},
{"e.example.com", "g.example.com"},
{"g.example.com", "i.example.com"},
{"i.example.com", null}
}
},
ImmutableList.of(
"2014102200,a.example.com,CN,100",
"2014102200,b.example.com,US,50",
"2014102200,c.example.com,US,200",
"2014102200,d.example.com,US,250",
"2014102200,e.example.com,US,123",
"2014102200,f.example.com,US,567",
"2014102200,g.example.com,US,11",
"2014102200,h.example.com,US,251",
"2014102200,i.example.com,US,963",
"2014102200,j.example.com,US,333"
)
},
{
false,
NO_TARGET_ROWS_PER_SEGMENT,
2,
"2014-10-20T00:00:00Z/P1D",
1,
new int[]{5},
new String[][][]{
{
{null, "c.example.com"},
{"c.example.com", "e.example.com"},
{"e.example.com", "g.example.com"},
{"g.example.com", "i.example.com"},
{"i.example.com", null}
}
},
ImmutableList.of(
"2014102000,a.example.com,CN,100",
"2014102000,a.example.com,CN,100",
"2014102000,b.example.com,US,50",
"2014102000,b.example.com,US,50",
"2014102000,c.example.com,US,200",
"2014102000,c.example.com,US,200",
"2014102000,d.example.com,US,250",
"2014102000,d.example.com,US,250",
"2014102000,e.example.com,US,123",
"2014102000,e.example.com,US,123",
"2014102000,f.example.com,US,567",
"2014102000,f.example.com,US,567",
"2014102000,g.example.com,US,11",
"2014102000,g.example.com,US,11",
"2014102000,h.example.com,US,251",
"2014102000,h.example.com,US,251",
"2014102000,i.example.com,US,963",
"2014102000,i.example.com,US,963",
"2014102000,j.example.com,US,333",
"2014102000,j.example.com,US,333"
)
},
{
true,
NO_TARGET_ROWS_PER_SEGMENT,
5,
"2014-10-20T00:00:00Z/P3D",
3,
new int[]{2, 2, 2},
new String[][][]{
{
{null, "f.example.com"},
{"f.example.com", null}
},
{
{null, "f.example.com"},
{"f.example.com", null}
},
{
{null, "f.example.com"},
{"f.example.com", null}
}
},
ImmutableList.of(
"2014102000,a.example.com,CN,100",
"2014102000,b.example.com,CN,50",
"2014102000,c.example.com,CN,200",
"2014102000,d.example.com,US,250",
"2014102000,e.example.com,US,123",
"2014102000,f.example.com,US,567",
"2014102000,g.example.com,US,11",
"2014102000,h.example.com,US,251",
"2014102000,i.example.com,US,963",
"2014102000,j.example.com,US,333",
"2014102100,a.example.com,CN,100",
"2014102100,b.example.com,CN,50",
"2014102100,c.example.com,CN,200",
"2014102100,d.example.com,US,250",
"2014102100,e.example.com,US,123",
"2014102100,f.example.com,US,567",
"2014102100,g.example.com,US,11",
"2014102100,h.example.com,US,251",
"2014102100,i.example.com,US,963",
"2014102100,j.example.com,US,333",
"2014102200,a.example.com,CN,100",
"2014102200,b.example.com,CN,50",
"2014102200,c.example.com,CN,200",
"2014102200,d.example.com,US,250",
"2014102200,e.example.com,US,123",
"2014102200,f.example.com,US,567",
"2014102200,g.example.com,US,11",
"2014102200,h.example.com,US,251",
"2014102200,i.example.com,US,963",
"2014102200,j.example.com,US,333"
)
},
{
true,
NO_TARGET_ROWS_PER_SEGMENT,
1000,
"2014-10-22T00:00:00Z/P1D",
1,
new int[]{1},
new String[][][]{
{
{null, null}
}
},
ImmutableList.of(
"2014102200,a.example.com,CN,100",
"2014102200,b.example.com,US,50",
"2014102200,c.example.com,US,200",
"2014102200,d.example.com,US,250",
"2014102200,e.example.com,US,123",
"2014102200,f.example.com,US,567",
"2014102200,g.example.com,US,11",
"2014102200,h.example.com,US,251",
"2014102200,i.example.com,US,963",
"2014102200,j.example.com,US,333"
)
}
}
);
}
public DeterminePartitionsJobTest(
boolean assumeGrouped,
@Nullable Integer targetRowsPerSegment,
Integer maxRowsPerSegment,
String interval,
int expectedNumOfSegments,
int[] expectedNumOfShardsForEachSegment,
String[][][] expectedStartEndForEachShard,
List<String> data
) throws IOException
{
this.expectedNumOfSegments = expectedNumOfSegments;
this.expectedNumOfShardsForEachSegment = expectedNumOfShardsForEachSegment;
this.expectedStartEndForEachShard = expectedStartEndForEachShard;
dataFile = File.createTempFile("test_website_data", "tmp");
dataFile.deleteOnExit();
tmpDir = FileUtils.createTempDir();
tmpDir.deleteOnExit();
org.apache.commons.io.FileUtils.writeLines(dataFile, data);
config = new HadoopDruidIndexerConfig(
new HadoopIngestionSpec(
new DataSchema(
"website",
HadoopDruidIndexerConfig.JSON_MAPPER.convertValue(
new StringInputRowParser(
new CSVParseSpec(
new TimestampSpec("timestamp", "yyyyMMddHH", null),
new DimensionsSpec(
DimensionsSpec.getDefaultSchemas(ImmutableList.of("host", "country")),
null,
null
),
null,
ImmutableList.of("timestamp", "host", "country", "visited_num"),
false,
0
),
null
),
Map.class
),
new AggregatorFactory[]{new LongSumAggregatorFactory("visited_num", "visited_num")},
new UniformGranularitySpec(
Granularities.DAY,
Granularities.NONE,
ImmutableList.of(Intervals.of(interval))
),
null,
HadoopDruidIndexerConfig.JSON_MAPPER
),
new HadoopIOConfig(
ImmutableMap.of(
"paths",
dataFile.getCanonicalPath(),
"type",
"static"
),
null,
tmpDir.getCanonicalPath()
),
new HadoopTuningConfig(
tmpDir.getCanonicalPath(),
null,
new SingleDimensionPartitionsSpec(targetRowsPerSegment, maxRowsPerSegment, null, assumeGrouped),
null,
null,
null,
null,
null,
null,
false,
false,
false,
false,
null,
false,
false,
null,
null,
false,
false,
null,
null,
null,
null,
null
)
)
);
}
@Test
public void testPartitionJob()
{
DeterminePartitionsJob job = new DeterminePartitionsJob(config);
job.run();
int shardNum = 0;
int segmentNum = 0;
Assert.assertEquals(expectedNumOfSegments, config.getSchema().getTuningConfig().getShardSpecs().size());
for (Map.Entry<Long, List<HadoopyShardSpec>> entry : config.getSchema()
.getTuningConfig()
.getShardSpecs()
.entrySet()) {
int partitionNum = 0;
List<HadoopyShardSpec> specs = entry.getValue();
Assert.assertEquals(expectedNumOfShardsForEachSegment[segmentNum], specs.size());
for (HadoopyShardSpec spec : specs) {
SingleDimensionShardSpec actualSpec = (SingleDimensionShardSpec) spec.getActualSpec();
Assert.assertEquals(shardNum, spec.getShardNum());
Assert.assertEquals(expectedStartEndForEachShard[segmentNum][partitionNum][0], actualSpec.getStart());
Assert.assertEquals(expectedStartEndForEachShard[segmentNum][partitionNum][1], actualSpec.getEnd());
Assert.assertEquals(partitionNum, actualSpec.getPartitionNum());
shardNum++;
partitionNum++;
}
segmentNum++;
}
}
@After
public void tearDown() throws Exception
{
org.apache.commons.io.FileUtils.forceDelete(dataFile);
FileUtils.deleteDirectory(tmpDir);
}
}