use of io.druid.query.filter.DimFilter in project druid by druid-io.
the class GroupByRules method applyAggregate.
/**
* Applies a filter -> project -> aggregate chain to a druidRel. Do not call this method unless
* {@link #canApplyAggregate(DruidRel, Filter, Project, Aggregate)} returns true.
*
* @return new rel, or null if the chain cannot be applied
*/
private static DruidRel applyAggregate(final DruidRel druidRel, final Filter filter0, final Project project0, final Aggregate aggregate, final DruidOperatorTable operatorTable, final boolean approximateCountDistinct) {
Preconditions.checkState(canApplyAggregate(druidRel, filter0, project0, aggregate), "Cannot applyAggregate.");
final RowSignature sourceRowSignature;
final boolean isNestedQuery = druidRel.getQueryBuilder().getGrouping() != null;
if (isNestedQuery) {
// Nested groupBy; source row signature is the output signature of druidRel.
sourceRowSignature = druidRel.getOutputRowSignature();
} else {
sourceRowSignature = druidRel.getSourceRowSignature();
}
// Filter that should be applied before aggregating.
final DimFilter filter;
if (filter0 != null) {
filter = Expressions.toFilter(operatorTable, druidRel.getPlannerContext(), sourceRowSignature, filter0.getCondition());
if (filter == null) {
// Can't plan this filter.
return null;
}
} else if (druidRel.getQueryBuilder().getFilter() != null && !isNestedQuery) {
// We're going to replace the existing druidRel, so inherit its filter.
filter = druidRel.getQueryBuilder().getFilter();
} else {
filter = null;
}
// Projection that should be applied before aggregating.
final Project project;
if (project0 != null) {
project = project0;
} else if (druidRel.getQueryBuilder().getSelectProjection() != null && !isNestedQuery) {
// We're going to replace the existing druidRel, so inherit its projection.
project = druidRel.getQueryBuilder().getSelectProjection().getProject();
} else {
project = null;
}
final List<DimensionSpec> dimensions = Lists.newArrayList();
final List<Aggregation> aggregations = Lists.newArrayList();
final List<String> rowOrder = Lists.newArrayList();
// Translate groupSet.
final ImmutableBitSet groupSet = aggregate.getGroupSet();
int dimOutputNameCounter = 0;
for (int i : groupSet) {
if (project != null && project.getChildExps().get(i) instanceof RexLiteral) {
// Ignore literals in GROUP BY, so a user can write e.g. "GROUP BY 'dummy'" to group everything into a single
// row. Add dummy rowOrder entry so NULLs come out. This is not strictly correct but it works as long as
// nobody actually expects to see the literal.
rowOrder.add(dimOutputName(dimOutputNameCounter++));
} else {
final RexNode rexNode = Expressions.fromFieldAccess(sourceRowSignature, project, i);
final RowExtraction rex = Expressions.toRowExtraction(operatorTable, druidRel.getPlannerContext(), sourceRowSignature.getRowOrder(), rexNode);
if (rex == null) {
return null;
}
final SqlTypeName sqlTypeName = rexNode.getType().getSqlTypeName();
final ValueType outputType = Calcites.getValueTypeForSqlTypeName(sqlTypeName);
if (outputType == null) {
throw new ISE("Cannot translate sqlTypeName[%s] to Druid type for field[%s]", sqlTypeName, rowOrder.get(i));
}
final DimensionSpec dimensionSpec = rex.toDimensionSpec(sourceRowSignature, dimOutputName(dimOutputNameCounter++), outputType);
if (dimensionSpec == null) {
return null;
}
dimensions.add(dimensionSpec);
rowOrder.add(dimensionSpec.getOutputName());
}
}
// Translate aggregates.
for (int i = 0; i < aggregate.getAggCallList().size(); i++) {
final AggregateCall aggCall = aggregate.getAggCallList().get(i);
final Aggregation aggregation = translateAggregateCall(druidRel.getPlannerContext(), sourceRowSignature, project, aggCall, operatorTable, aggregations, i, approximateCountDistinct);
if (aggregation == null) {
return null;
}
aggregations.add(aggregation);
rowOrder.add(aggregation.getOutputName());
}
if (isNestedQuery) {
// Nested groupBy.
return DruidNestedGroupBy.from(druidRel, filter, Grouping.create(dimensions, aggregations), aggregate.getRowType(), rowOrder);
} else {
// groupBy on a base dataSource.
return druidRel.withQueryBuilder(druidRel.getQueryBuilder().withFilter(filter).withGrouping(Grouping.create(dimensions, aggregations), aggregate.getRowType(), rowOrder));
}
}
use of io.druid.query.filter.DimFilter in project druid by druid-io.
the class AndFilterTest method testAnd.
@Test
public void testAnd() {
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new SelectorDimFilter("dim0", "0", null), new SelectorDimFilter("dim1", "0", null))), ImmutableList.of("0"));
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new SelectorDimFilter("dim0", "0", null), new SelectorDimFilter("dim1", "1", null))), ImmutableList.<String>of());
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new SelectorDimFilter("dim0", "1", null), new SelectorDimFilter("dim1", "0", null))), ImmutableList.of("1"));
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new SelectorDimFilter("dim0", "1", null), new SelectorDimFilter("dim1", "1", null))), ImmutableList.<String>of());
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new NotDimFilter(new SelectorDimFilter("dim0", "1", null)), new NotDimFilter(new SelectorDimFilter("dim1", "1", null)))), ImmutableList.of("0", "2", "3", "4", "5"));
assertFilterMatches(new AndDimFilter(ImmutableList.<DimFilter>of(new NotDimFilter(new SelectorDimFilter("dim0", "0", null)), new NotDimFilter(new SelectorDimFilter("dim1", "0", null)))), ImmutableList.<String>of());
}
use of io.druid.query.filter.DimFilter in project druid by druid-io.
the class BaseFilterTest method makeFilter.
private Filter makeFilter(final DimFilter dimFilter) {
if (dimFilter == null) {
return null;
}
final DimFilter maybeOptimized = optimize ? dimFilter.optimize() : dimFilter;
final Filter filter = maybeOptimized.toFilter();
return cnf ? Filters.convertToCNF(filter) : filter;
}
use of io.druid.query.filter.DimFilter in project druid by druid-io.
the class BaseFilterTest method selectColumnValuesMatchingFilterUsingPostFiltering.
private List<String> selectColumnValuesMatchingFilterUsingPostFiltering(final DimFilter filter, final String selectColumn) {
final Filter theFilter = makeFilter(filter);
final Filter postFilteringFilter = new Filter() {
@Override
public ImmutableBitmap getBitmapIndex(BitmapIndexSelector selector) {
throw new UnsupportedOperationException();
}
@Override
public ValueMatcher makeMatcher(ColumnSelectorFactory factory) {
return theFilter.makeMatcher(factory);
}
@Override
public boolean supportsBitmapIndex(BitmapIndexSelector selector) {
return false;
}
@Override
public boolean supportsSelectivityEstimation(ColumnSelector columnSelector, BitmapIndexSelector indexSelector) {
return false;
}
@Override
public double estimateSelectivity(BitmapIndexSelector indexSelector) {
return 1.0;
}
};
final Sequence<Cursor> cursors = makeCursorSequence(postFilteringFilter);
Sequence<List<String>> seq = Sequences.map(cursors, new Function<Cursor, List<String>>() {
@Override
public List<String> apply(Cursor input) {
final DimensionSelector selector = input.makeDimensionSelector(new DefaultDimensionSpec(selectColumn, selectColumn));
final List<String> values = Lists.newArrayList();
while (!input.isDone()) {
IndexedInts row = selector.getRow();
Preconditions.checkState(row.size() == 1);
values.add(selector.lookupName(row.get(0)));
input.advance();
}
return values;
}
});
return Sequences.toList(seq, new ArrayList<List<String>>()).get(0);
}
use of io.druid.query.filter.DimFilter in project druid by druid-io.
the class FilterPartitionTest method testDistributeOrCNFExtractionFn.
@Test
public void testDistributeOrCNFExtractionFn() {
DimFilter dimFilter1 = new OrDimFilter(Arrays.<DimFilter>asList(new SelectorDimFilter("dim0", "super-6", JS_EXTRACTION_FN), new AndDimFilter(Arrays.<DimFilter>asList(new NoBitmapSelectorDimFilter("dim1", "super-def", JS_EXTRACTION_FN), new SelectorDimFilter("dim2", "super-c", JS_EXTRACTION_FN)))));
Filter filter1 = dimFilter1.toFilter();
Filter filter1CNF = Filters.convertToCNF(filter1);
Assert.assertEquals(AndFilter.class, filter1CNF.getClass());
Assert.assertEquals(2, ((AndFilter) filter1CNF).getFilters().size());
assertFilterMatches(dimFilter1, ImmutableList.of("4", "6"));
DimFilter dimFilter2 = new OrDimFilter(Arrays.<DimFilter>asList(new SelectorDimFilter("dim0", "super-2", JS_EXTRACTION_FN), new SelectorDimFilter("dim0", "super-3", JS_EXTRACTION_FN), new AndDimFilter(Arrays.<DimFilter>asList(new NoBitmapSelectorDimFilter("dim1", "super-HELLO", JS_EXTRACTION_FN), new SelectorDimFilter("dim2", "super-foo", JS_EXTRACTION_FN)))));
assertFilterMatches(dimFilter2, ImmutableList.of("2", "3", "7"));
DimFilter dimFilter3 = new OrDimFilter(Arrays.<DimFilter>asList(dimFilter1, dimFilter2, new AndDimFilter(Arrays.<DimFilter>asList(new NoBitmapSelectorDimFilter("dim1", "super-1", JS_EXTRACTION_FN), new SelectorDimFilter("dim2", "super-foo", JS_EXTRACTION_FN)))));
Filter filter3 = dimFilter3.toFilter();
Filter filter3CNF = Filters.convertToCNF(dimFilter3.toFilter());
assertFilterMatches(dimFilter3, ImmutableList.of("2", "3", "4", "6", "7", "9"));
}
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