Java tutorial
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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 com.google.common.io.Files; import org.apache.commons.io.FileUtils; 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.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 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 { private HadoopDruidIndexerConfig config; private int expectedNumOfSegments; private int[] expectedNumOfShardsForEachSegment; private String[][][] expectedStartEndForEachShard; private File dataFile; private File tmpDir; @Parameterized.Parameters(name = "assumeGrouped={0}, " + "targetPartitionSize={1}, " + "interval={2}" + "expectedNumOfSegments={3}, " + "expectedNumOfShardsForEachSegment={4}, " + "expectedStartEndForEachShard={5}, " + "data={6}") public static Collection<Object[]> constructFeed() { return Arrays.asList(new Object[][] { { true, 3L, "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.exmaple.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, 3L, "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.exmaple.com,US,50", "2014102000,b.exmaple.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, 6L, "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.exmaple.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", "2014102000,k.example.com,US,555", "2014102100,a.example.com,CN,100", "2014102100,b.exmaple.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", "2014102100,k.example.com,US,555", "2014102200,a.example.com,CN,100", "2014102200,b.exmaple.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", "2014102200,k.example.com,US,555") } }); } public DeterminePartitionsJobTest(boolean assumeGrouped, Long targetPartitionSize, 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 = Files.createTempDir(); tmpDir.deleteOnExit(); 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(null, targetPartitionSize, null, assumeGrouped), null, null, null, null, false, false, false, false, null, false, false, null, null, null, false, false, 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 { FileUtils.forceDelete(dataFile); FileUtils.deleteDirectory(tmpDir); } }