egor-ryashin commented on a change in pull request #6794: Query vectorization. URL: https://github.com/apache/incubator-druid/pull/6794#discussion_r302070676
########## File path: processing/src/main/java/org/apache/druid/segment/QueryableIndexCursorSequenceBuilder.java ########## @@ -0,0 +1,618 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.druid.segment; + +import com.google.common.base.Function; +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableList; +import com.google.common.collect.Lists; +import org.apache.druid.collections.bitmap.ImmutableBitmap; +import org.apache.druid.java.util.common.granularity.Granularity; +import org.apache.druid.java.util.common.guava.Sequence; +import org.apache.druid.java.util.common.guava.Sequences; +import org.apache.druid.java.util.common.io.Closer; +import org.apache.druid.query.BaseQuery; +import org.apache.druid.query.filter.Filter; +import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector; +import org.apache.druid.segment.column.BaseColumn; +import org.apache.druid.segment.column.ColumnHolder; +import org.apache.druid.segment.column.NumericColumn; +import org.apache.druid.segment.data.Offset; +import org.apache.druid.segment.data.ReadableOffset; +import org.apache.druid.segment.historical.HistoricalCursor; +import org.apache.druid.segment.vector.BitmapVectorOffset; +import org.apache.druid.segment.vector.FilteredVectorOffset; +import org.apache.druid.segment.vector.NoFilterVectorOffset; +import org.apache.druid.segment.vector.QueryableIndexVectorColumnSelectorFactory; +import org.apache.druid.segment.vector.VectorColumnSelectorFactory; +import org.apache.druid.segment.vector.VectorCursor; +import org.apache.druid.segment.vector.VectorOffset; +import org.joda.time.DateTime; +import org.joda.time.Interval; + +import javax.annotation.Nullable; +import java.io.IOException; +import java.util.HashMap; +import java.util.Map; + +public class QueryableIndexCursorSequenceBuilder +{ + // At this threshold, timestamp searches switch from binary to linear. The idea is to avoid too much decompression + // buffer thrashing. The default value is chosen to be similar to the typical number of timestamps per block. + private static final int TOO_CLOSE_FOR_MISSILES = 15000; + + private final QueryableIndex index; + private final Interval interval; + private final VirtualColumns virtualColumns; + @Nullable + private final ImmutableBitmap filterBitmap; + private final long minDataTimestamp; + private final long maxDataTimestamp; + private final boolean descending; + @Nullable + private final Filter postFilter; + private final ColumnSelectorBitmapIndexSelector bitmapIndexSelector; + + public QueryableIndexCursorSequenceBuilder( + QueryableIndex index, + Interval interval, + VirtualColumns virtualColumns, + @Nullable ImmutableBitmap filterBitmap, + long minDataTimestamp, + long maxDataTimestamp, + boolean descending, + @Nullable Filter postFilter, + ColumnSelectorBitmapIndexSelector bitmapIndexSelector + ) + { + this.index = index; + this.interval = interval; + this.virtualColumns = virtualColumns; + this.filterBitmap = filterBitmap; + this.minDataTimestamp = minDataTimestamp; + this.maxDataTimestamp = maxDataTimestamp; + this.descending = descending; + this.postFilter = postFilter; + this.bitmapIndexSelector = bitmapIndexSelector; + } + + public Sequence<Cursor> build(final Granularity gran) + { + final Offset baseOffset; + + if (filterBitmap == null) { + baseOffset = descending + ? new SimpleDescendingOffset(index.getNumRows()) + : new SimpleAscendingOffset(index.getNumRows()); + } else { + baseOffset = BitmapOffset.of(filterBitmap, descending, index.getNumRows()); + } + + // Column caches shared amongst all cursors in this sequence. + final Map<String, BaseColumn> columnCache = new HashMap<>(); + + final NumericColumn timestamps = (NumericColumn) index.getColumnHolder(ColumnHolder.TIME_COLUMN_NAME).getColumn(); + + final Closer closer = Closer.create(); + closer.register(timestamps); + + Iterable<Interval> iterable = gran.getIterable(interval); + if (descending) { + iterable = Lists.reverse(ImmutableList.copyOf(iterable)); + } + + return Sequences.withBaggage( + Sequences.map( + Sequences.simple(iterable), + new Function<Interval, Cursor>() + { + @Override + public Cursor apply(final Interval inputInterval) + { + final long timeStart = Math.max(interval.getStartMillis(), inputInterval.getStartMillis()); + final long timeEnd = Math.min( + interval.getEndMillis(), + gran.increment(inputInterval.getStart()).getMillis() + ); + + if (descending) { + for (; baseOffset.withinBounds(); baseOffset.increment()) { + if (timestamps.getLongSingleValueRow(baseOffset.getOffset()) < timeEnd) { + break; + } + } + } else { + for (; baseOffset.withinBounds(); baseOffset.increment()) { + if (timestamps.getLongSingleValueRow(baseOffset.getOffset()) >= timeStart) { + break; + } + } + } + + final Offset offset = descending ? + new DescendingTimestampCheckingOffset( + baseOffset, + timestamps, + timeStart, + minDataTimestamp >= timeStart + ) : + new AscendingTimestampCheckingOffset( + baseOffset, + timestamps, + timeEnd, + maxDataTimestamp < timeEnd + ); + + + final Offset baseCursorOffset = offset.clone(); + final ColumnSelectorFactory columnSelectorFactory = new QueryableIndexColumnSelectorFactory( + index, + virtualColumns, + descending, + closer, + baseCursorOffset.getBaseReadableOffset(), + columnCache + ); + final DateTime myBucket = gran.toDateTime(inputInterval.getStartMillis()); + + if (postFilter == null) { + return new QueryableIndexCursor(baseCursorOffset, columnSelectorFactory, myBucket); + } else { + FilteredOffset filteredOffset = new FilteredOffset( + baseCursorOffset, + columnSelectorFactory, + descending, + postFilter, + bitmapIndexSelector + ); + return new QueryableIndexCursor(filteredOffset, columnSelectorFactory, myBucket); + } + + } + } + ), + closer + ); + } + + public VectorCursor buildVectorized(final int vectorSize) + { + // Sanity check - matches QueryableIndexStorageAdapter.canVectorize + Preconditions.checkState(virtualColumns.size() == 0, "virtualColumns.size == 0"); + Preconditions.checkState(!descending, "!descending"); + + final Map<String, BaseColumn> columnCache = new HashMap<>(); + final Closer closer = Closer.create(); + + NumericColumn timestamps = null; + + final int startOffset; + final int endOffset; + + if (interval.getStartMillis() > minDataTimestamp) { + timestamps = (NumericColumn) index.getColumnHolder(ColumnHolder.TIME_COLUMN_NAME).getColumn(); + closer.register(timestamps); + + final int result = timeSearch(timestamps, interval.getStartMillis(), 0, index.getNumRows()); + if (result >= 0) { + startOffset = result; + } else { + startOffset = -(result + 1); + } + } else { + startOffset = 0; + } + + if (interval.getEndMillis() <= maxDataTimestamp) { + if (timestamps == null) { + timestamps = (NumericColumn) index.getColumnHolder(ColumnHolder.TIME_COLUMN_NAME).getColumn(); + closer.register(timestamps); + } + + final int result = timeSearch(timestamps, interval.getEndMillis(), startOffset, index.getNumRows()); + if (result >= 0) { Review comment: Hmm, looks like this block is still there:  ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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