use of org.apache.druid.segment.vector.VectorValueSelector in project druid by druid-io.
the class LongMinAggregationTest method setup.
@Before
public void setup() {
NullHandling.initializeForTests();
selector = new TestLongColumnSelector(values);
colSelectorFactory = EasyMock.createMock(ColumnSelectorFactory.class);
EasyMock.expect(colSelectorFactory.makeColumnValueSelector("nilly")).andReturn(selector);
EasyMock.expect(colSelectorFactory.getColumnCapabilities("nilly")).andReturn(null);
EasyMock.replay(colSelectorFactory);
VectorValueSelector vectorValueSelector = EasyMock.createMock(VectorValueSelector.class);
EasyMock.expect(vectorValueSelector.getLongVector()).andReturn(longValues1).anyTimes();
EasyMock.expect(vectorValueSelector.getNullVector()).andReturn(null).anyTimes();
EasyMock.replay(vectorValueSelector);
vectorColumnSelectorFactory = EasyMock.createMock(VectorColumnSelectorFactory.class);
EasyMock.expect(vectorColumnSelectorFactory.getColumnCapabilities("lngFld")).andReturn(new ColumnCapabilitiesImpl().setType(ColumnType.LONG).setDictionaryEncoded(true)).anyTimes();
EasyMock.expect(vectorColumnSelectorFactory.makeValueSelector("lngFld")).andReturn(vectorValueSelector).anyTimes();
EasyMock.replay(vectorColumnSelectorFactory);
}
use of org.apache.druid.segment.vector.VectorValueSelector in project druid by druid-io.
the class FloatMaxAggregationTest method setup.
@Before
public void setup() {
NullHandling.initializeForTests();
VectorValueSelector vectorValueSelector = EasyMock.createMock(VectorValueSelector.class);
EasyMock.expect(vectorValueSelector.getFloatVector()).andReturn(floatValues1).anyTimes();
EasyMock.expect(vectorValueSelector.getNullVector()).andReturn(null).anyTimes();
EasyMock.replay(vectorValueSelector);
vectorColumnSelectorFactory = EasyMock.createMock(VectorColumnSelectorFactory.class);
EasyMock.expect(vectorColumnSelectorFactory.getColumnCapabilities("fltFld")).andReturn(new ColumnCapabilitiesImpl().setType(ColumnType.FLOAT).setDictionaryEncoded(true)).anyTimes();
EasyMock.expect(vectorColumnSelectorFactory.makeValueSelector("fltFld")).andReturn(vectorValueSelector).anyTimes();
EasyMock.replay(vectorColumnSelectorFactory);
}
use of org.apache.druid.segment.vector.VectorValueSelector in project druid by druid-io.
the class ExpressionVectorSelectorsTest method sanityTestVectorizedExpressionSelectors.
public static void sanityTestVectorizedExpressionSelectors(String expression, @Nullable ExpressionType outputType, QueryableIndex index, Closer closer, int rowsPerSegment) {
final List<Object> results = new ArrayList<>(rowsPerSegment);
final VirtualColumns virtualColumns = VirtualColumns.create(ImmutableList.of(new ExpressionVirtualColumn("v", expression, ExpressionType.toColumnType(outputType), TestExprMacroTable.INSTANCE)));
final QueryableIndexStorageAdapter storageAdapter = new QueryableIndexStorageAdapter(index);
VectorCursor cursor = storageAdapter.makeVectorCursor(null, index.getDataInterval(), virtualColumns, false, 512, null);
ColumnCapabilities capabilities = virtualColumns.getColumnCapabilities(storageAdapter, "v");
int rowCount = 0;
if (capabilities.isDictionaryEncoded().isTrue()) {
SingleValueDimensionVectorSelector selector = cursor.getColumnSelectorFactory().makeSingleValueDimensionSelector(DefaultDimensionSpec.of("v"));
while (!cursor.isDone()) {
int[] row = selector.getRowVector();
for (int i = 0; i < selector.getCurrentVectorSize(); i++, rowCount++) {
results.add(selector.lookupName(row[i]));
}
cursor.advance();
}
} else {
VectorValueSelector selector = null;
VectorObjectSelector objectSelector = null;
if (outputType != null && outputType.isNumeric()) {
selector = cursor.getColumnSelectorFactory().makeValueSelector("v");
} else {
objectSelector = cursor.getColumnSelectorFactory().makeObjectSelector("v");
}
while (!cursor.isDone()) {
boolean[] nulls;
switch(outputType.getType()) {
case LONG:
nulls = selector.getNullVector();
long[] longs = selector.getLongVector();
for (int i = 0; i < selector.getCurrentVectorSize(); i++, rowCount++) {
results.add(nulls != null && nulls[i] ? null : longs[i]);
}
break;
case DOUBLE:
// special case to test floats just to get coverage on getFloatVector
if ("float2".equals(expression)) {
nulls = selector.getNullVector();
float[] floats = selector.getFloatVector();
for (int i = 0; i < selector.getCurrentVectorSize(); i++, rowCount++) {
results.add(nulls != null && nulls[i] ? null : (double) floats[i]);
}
} else {
nulls = selector.getNullVector();
double[] doubles = selector.getDoubleVector();
for (int i = 0; i < selector.getCurrentVectorSize(); i++, rowCount++) {
results.add(nulls != null && nulls[i] ? null : doubles[i]);
}
}
break;
case STRING:
Object[] objects = objectSelector.getObjectVector();
for (int i = 0; i < objectSelector.getCurrentVectorSize(); i++, rowCount++) {
results.add(objects[i]);
}
break;
}
cursor.advance();
}
}
closer.register(cursor);
Sequence<Cursor> cursors = new QueryableIndexStorageAdapter(index).makeCursors(null, index.getDataInterval(), virtualColumns, Granularities.ALL, false, null);
int rowCountCursor = cursors.map(nonVectorized -> {
final ColumnValueSelector nonSelector = nonVectorized.getColumnSelectorFactory().makeColumnValueSelector("v");
int rows = 0;
while (!nonVectorized.isDone()) {
Assert.assertEquals(StringUtils.format("Failed at row %s", rows), nonSelector.getObject(), results.get(rows));
rows++;
nonVectorized.advance();
}
return rows;
}).accumulate(0, (acc, in) -> acc + in);
Assert.assertTrue(rowCountCursor > 0);
Assert.assertEquals(rowCountCursor, rowCount);
}
use of org.apache.druid.segment.vector.VectorValueSelector in project druid by druid-io.
the class LongMaxAggregationTest method setup.
@Before
public void setup() {
NullHandling.initializeForTests();
selector = new TestLongColumnSelector(values);
colSelectorFactory = EasyMock.createMock(ColumnSelectorFactory.class);
EasyMock.expect(colSelectorFactory.makeColumnValueSelector("nilly")).andReturn(selector);
EasyMock.expect(colSelectorFactory.getColumnCapabilities("nilly")).andReturn(null);
EasyMock.replay(colSelectorFactory);
VectorValueSelector vectorValueSelector = EasyMock.createMock(VectorValueSelector.class);
EasyMock.expect(vectorValueSelector.getLongVector()).andReturn(longValues1).anyTimes();
EasyMock.expect(vectorValueSelector.getNullVector()).andReturn(null).anyTimes();
EasyMock.replay(vectorValueSelector);
vectorColumnSelectorFactory = EasyMock.createMock(VectorColumnSelectorFactory.class);
EasyMock.expect(vectorColumnSelectorFactory.getColumnCapabilities("lngFld")).andReturn(new ColumnCapabilitiesImpl().setType(ColumnType.LONG).setDictionaryEncoded(true)).anyTimes();
EasyMock.expect(vectorColumnSelectorFactory.makeValueSelector("lngFld")).andReturn(vectorValueSelector).anyTimes();
EasyMock.replay(vectorColumnSelectorFactory);
}
use of org.apache.druid.segment.vector.VectorValueSelector in project druid by druid-io.
the class NullableNumericAggregatorFactory method factorizeVector.
@Override
public final VectorAggregator factorizeVector(VectorColumnSelectorFactory columnSelectorFactory) {
Preconditions.checkState(canVectorize(columnSelectorFactory), "Cannot vectorize");
VectorValueSelector selector = vectorSelector(columnSelectorFactory);
VectorAggregator aggregator = factorizeVector(columnSelectorFactory, selector);
return NullHandling.replaceWithDefault() ? aggregator : new NullableNumericVectorAggregator(aggregator, selector);
}
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