use of org.apache.druid.query.metadata.metadata.SegmentAnalysis in project druid by druid-io.
the class SegmentAnalyzerTest method testMappedWorksHelper.
private void testMappedWorksHelper(EnumSet<SegmentMetadataQuery.AnalysisType> analyses) {
final List<SegmentAnalysis> results = getSegmentAnalysises(new QueryableIndexSegment(TestIndex.getMMappedTestIndex(), SegmentId.dummy("test_1")), analyses);
Assert.assertEquals(1, results.size());
final SegmentAnalysis analysis = results.get(0);
Assert.assertEquals(SegmentId.dummy("test_1").toString(), analysis.getId());
final Map<String, ColumnAnalysis> columns = analysis.getColumns();
Assert.assertEquals(TestIndex.COLUMNS.length + 3 - 1, columns.size());
for (DimensionSchema schema : TestIndex.DIMENSION_SCHEMAS) {
final String dimension = schema.getName();
final ColumnAnalysis columnAnalysis = columns.get(dimension);
if ("null_column".equals(dimension)) {
Assert.assertNull(columnAnalysis);
} else {
final boolean isString = schema.getColumnType().is(ValueType.STRING);
Assert.assertEquals(dimension, schema.getColumnType().toString(), columnAnalysis.getType());
Assert.assertEquals(dimension, 0, columnAnalysis.getSize());
if (isString) {
if (analyses == null) {
Assert.assertTrue(dimension, columnAnalysis.getCardinality() > 0);
} else {
Assert.assertEquals(dimension, 0, columnAnalysis.getCardinality().longValue());
}
} else {
Assert.assertNull(dimension, columnAnalysis.getCardinality());
}
}
}
for (String metric : TestIndex.DOUBLE_METRICS) {
final ColumnAnalysis columnAnalysis = columns.get(metric);
Assert.assertEquals(metric, ValueType.DOUBLE.name(), columnAnalysis.getType());
Assert.assertEquals(metric, 0, columnAnalysis.getSize());
Assert.assertNull(metric, columnAnalysis.getCardinality());
}
for (String metric : TestIndex.FLOAT_METRICS) {
final ColumnAnalysis columnAnalysis = columns.get(metric);
Assert.assertEquals(metric, ValueType.FLOAT.name(), columnAnalysis.getType());
Assert.assertEquals(metric, 0, columnAnalysis.getSize());
Assert.assertNull(metric, columnAnalysis.getCardinality());
}
}
use of org.apache.druid.query.metadata.metadata.SegmentAnalysis in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithRollupMerge.
@Test
public void testSegmentMetadataQueryWithRollupMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : SegmentId.dummy("testSegment").toString(), null, ImmutableMap.of("placement", new ColumnAnalysis(ColumnType.STRING, ValueType.STRING.toString(), false, false, 0, 0, null, null, null), "placementish", new ColumnAnalysis(ColumnType.STRING, ValueType.STRING.toString(), true, false, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, null, rollup1 != rollup2 ? null : rollup1);
QueryToolChest toolChest = FACTORY.getToolchest();
ExecutorService exec = Executors.newCachedThreadPool();
QueryRunner myRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(FACTORY.mergeRunners(Execs.directExecutor(), Lists.newArrayList(toolChest.preMergeQueryDecoration(runner1), toolChest.preMergeQueryDecoration(runner2)))), toolChest);
SegmentMetadataQuery query = Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement", "placementish"))).analysisTypes(SegmentMetadataQuery.AnalysisType.ROLLUP).merge(true).build();
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(QueryPlus.wrap(query)), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of org.apache.druid.query.metadata.metadata.SegmentAnalysis in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithNoAnalysisTypesMerge.
@Test
public void testSegmentMetadataQueryWithNoAnalysisTypesMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : SegmentId.dummy("testSegment").toString(), null, ImmutableMap.of("placement", new ColumnAnalysis(ColumnType.STRING, ValueType.STRING.toString(), false, false, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, null, null);
QueryToolChest toolChest = FACTORY.getToolchest();
ExecutorService exec = Executors.newCachedThreadPool();
QueryRunner myRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(FACTORY.mergeRunners(Execs.directExecutor(), Lists.newArrayList(toolChest.preMergeQueryDecoration(runner1), toolChest.preMergeQueryDecoration(runner2)))), toolChest);
SegmentMetadataQuery query = Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Collections.singletonList("placement"))).analysisTypes().merge(true).build();
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(QueryPlus.wrap(query)), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of org.apache.druid.query.metadata.metadata.SegmentAnalysis in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithComplexColumnMerge.
@Test
public void testSegmentMetadataQueryWithComplexColumnMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : SegmentId.dummy("testSegment").toString(), null, ImmutableMap.of("placement", new ColumnAnalysis(ColumnType.STRING, ValueType.STRING.toString(), false, false, 0, 1, null, null, null), "quality_uniques", new ColumnAnalysis(ColumnType.ofComplex("hyperUnique"), "hyperUnique", false, true, 0, null, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, null, null);
QueryToolChest toolChest = FACTORY.getToolchest();
ExecutorService exec = Executors.newCachedThreadPool();
QueryRunner myRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(FACTORY.mergeRunners(Execs.directExecutor(), Lists.newArrayList(toolChest.preMergeQueryDecoration(runner1), toolChest.preMergeQueryDecoration(runner2)))), toolChest);
SegmentMetadataQuery query = Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement", "quality_uniques"))).analysisTypes(SegmentMetadataQuery.AnalysisType.CARDINALITY).merge(true).build();
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(QueryPlus.wrap(query)), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of org.apache.druid.query.metadata.metadata.SegmentAnalysis in project druid by druid-io.
the class DruidSchemaTest method testSegmentMetadataFallbackType.
@Test
public void testSegmentMetadataFallbackType() {
RowSignature signature = DruidSchema.analysisToRowSignature(new SegmentAnalysis("id", ImmutableList.of(Intervals.utc(1L, 2L)), ImmutableMap.of("a", new ColumnAnalysis(null, ColumnType.STRING.asTypeString(), false, true, 1234, 26, "a", "z", null), "count", new ColumnAnalysis(null, ColumnType.LONG.asTypeString(), false, true, 1234, 26, "a", "z", null)), 1234, 100, null, null, null, null));
Assert.assertEquals(RowSignature.builder().add("a", ColumnType.STRING).add("count", ColumnType.LONG).build(), signature);
}
Aggregations