use of io.crate.expression.InputRow in project crate by crate.
the class InsertFromValues method createRowsByShardGrouper.
private GroupRowsByShard<ShardUpsertRequest, ShardUpsertRequest.Item> createRowsByShardGrouper(Symbol[] assignmentSources, ArrayList<Input<?>> insertInputs, Supplier<String> indexNameResolver, InputFactory.Context<CollectExpression<Row, ?>> collectContext, PlannerContext plannerContext, ClusterService clusterService) {
InputRow insertValues = new InputRow(insertInputs);
Function<String, ShardUpsertRequest.Item> itemFactory = id -> new ShardUpsertRequest.Item(id, assignmentSources, insertValues.materialize(), null, null, null);
var rowShardResolver = new RowShardResolver(plannerContext.transactionContext(), plannerContext.nodeContext(), writerProjection.primaryKeys(), writerProjection.ids(), writerProjection.clusteredByIdent(), writerProjection.clusteredBy());
return new GroupRowsByShard<>(clusterService, rowShardResolver, new TypeGuessEstimateRowSize(), indexNameResolver, collectContext.expressions(), itemFactory, true);
}
use of io.crate.expression.InputRow in project crate by crate.
the class GroupByOptimizedIterator method tryOptimizeSingleStringKey.
@Nullable
static BatchIterator<Row> tryOptimizeSingleStringKey(IndexShard indexShard, DocTableInfo table, LuceneQueryBuilder luceneQueryBuilder, FieldTypeLookup fieldTypeLookup, BigArrays bigArrays, InputFactory inputFactory, DocInputFactory docInputFactory, RoutedCollectPhase collectPhase, CollectTask collectTask) {
Collection<? extends Projection> shardProjections = shardProjections(collectPhase.projections());
GroupProjection groupProjection = getSingleStringKeyGroupProjection(shardProjections);
if (groupProjection == null) {
return null;
}
assert groupProjection.keys().size() == 1 : "Must have 1 key if getSingleStringKeyGroupProjection returned a projection";
Reference keyRef = getKeyRef(collectPhase.toCollect(), groupProjection.keys().get(0));
if (keyRef == null) {
// group by on non-reference
return null;
}
keyRef = (Reference) DocReferences.inverseSourceLookup(keyRef);
MappedFieldType keyFieldType = fieldTypeLookup.get(keyRef.column().fqn());
if (keyFieldType == null || !keyFieldType.hasDocValues()) {
return null;
}
if (Symbols.containsColumn(collectPhase.toCollect(), DocSysColumns.SCORE) || Symbols.containsColumn(collectPhase.where(), DocSysColumns.SCORE)) {
// to keep the optimized implementation a bit simpler
return null;
}
if (hasHighCardinalityRatio(() -> indexShard.acquireSearcher("group-by-cardinality-check"), keyFieldType.name())) {
return null;
}
ShardId shardId = indexShard.shardId();
SharedShardContext sharedShardContext = collectTask.sharedShardContexts().getOrCreateContext(shardId);
var searcher = sharedShardContext.acquireSearcher("group-by-ordinals:" + formatSource(collectPhase));
collectTask.addSearcher(sharedShardContext.readerId(), searcher);
final QueryShardContext queryShardContext = sharedShardContext.indexService().newQueryShardContext();
InputFactory.Context<? extends LuceneCollectorExpression<?>> docCtx = docInputFactory.getCtx(collectTask.txnCtx());
docCtx.add(collectPhase.toCollect().stream()::iterator);
InputFactory.Context<CollectExpression<Row, ?>> ctxForAggregations = inputFactory.ctxForAggregations(collectTask.txnCtx());
ctxForAggregations.add(groupProjection.values());
final List<CollectExpression<Row, ?>> aggExpressions = ctxForAggregations.expressions();
List<AggregationContext> aggregations = ctxForAggregations.aggregations();
List<? extends LuceneCollectorExpression<?>> expressions = docCtx.expressions();
RamAccounting ramAccounting = collectTask.getRamAccounting();
CollectorContext collectorContext = new CollectorContext(sharedShardContext.readerId());
InputRow inputRow = new InputRow(docCtx.topLevelInputs());
LuceneQueryBuilder.Context queryContext = luceneQueryBuilder.convert(collectPhase.where(), collectTask.txnCtx(), indexShard.mapperService(), indexShard.shardId().getIndexName(), queryShardContext, table, sharedShardContext.indexService().cache());
return getIterator(bigArrays, searcher.item(), keyRef.column().fqn(), aggregations, expressions, aggExpressions, ramAccounting, collectTask.memoryManager(), collectTask.minNodeVersion(), inputRow, queryContext.query(), collectorContext, groupProjection.mode());
}
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