org.apache.impala.analysis.TupleDescriptor.java Source code

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// 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.impala.analysis;

import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.commons.lang.StringUtils;
import org.apache.impala.catalog.ColumnStats;
import org.apache.impala.catalog.HdfsTable;
import org.apache.impala.catalog.KuduTable;
import org.apache.impala.catalog.StructType;
import org.apache.impala.catalog.Table;
import org.apache.impala.thrift.TTupleDescriptor;

import com.google.common.base.Joiner;
import com.google.common.base.Objects;
import com.google.common.base.Preconditions;
import com.google.common.collect.Lists;

/**
 * A collection of slots that are organized in a CPU-friendly memory layout. A slot is
 * a typed placeholder for a single value operated on at runtime. A slot can be named or
 * anonymous. A named slot corresponds directly to a column or field that can be directly
 * referenced in a query by its name. An anonymous slot represents an intermediate value
 * produced during query execution, e.g., aggregation output.
 * A tuple descriptor has an associated type and a list of slots. Its type is a struct
 * that contains as its fields the list of all named slots covered by this tuple.
 * The list of slots tracks the named slots that are actually referenced in a query, as
 * well as all anonymous slots. Although not required, a tuple descriptor typically
 * only has named or anonymous slots and not a mix of both.
 *
 * For example, every table reference has a corresponding tuple descriptor. The columns
 * of the table are represented by the tuple descriptor's type (struct type with one
 * field per column). The list of slots tracks which of the table's columns are actually
 * referenced. A similar explanation applies for collection references.
 *
 * A tuple descriptor may be materialized or non-materialized. A non-materialized tuple
 * descriptor acts as a placeholder for 'virtual' table references such as inline views,
 * and must not be materialized at runtime.
 *
 * Memory Layout
 * Slots are placed in descending order by size with trailing bytes to store null flags.
 * Null flags are omitted for non-nullable slots, with the following exceptions for Kudu
 * scan tuples to match Kudu's client row format: If there is at least one nullable Kudu
 * scan slot, then all slots (even non-nullable ones) get a null flag. If there are no
 * nullable Kudu scan slots, then there are also no null flags.
 * There is no padding between tuples when stored back-to-back in a row batch.
 *
 * Example: select bool_col, int_col, string_col, smallint_col from functional.alltypes
 * Slots:   string_col|int_col|smallint_col|bool_col|null_byte
 * Offsets: 0          16      20           22       23
 */
public class TupleDescriptor {
    private final TupleId id_;
    private final String debugName_; // debug-only
    private final ArrayList<SlotDescriptor> slots_ = Lists.newArrayList();

    // Resolved path to the collection corresponding to this tuple descriptor, if any,
    // Only set for materialized tuples.
    private Path path_;

    // Type of this tuple descriptor. Used for slot/table resolution in analysis.
    private StructType type_;

    // All legal aliases of this tuple.
    private String[] aliases_;

    // If true, requires that aliases_.length() == 1. However, aliases_.length() == 1
    // does not imply an explicit alias because nested collection refs have only a
    // single implicit alias.
    private boolean hasExplicitAlias_;

    // If false, this tuple doesn't need to be materialized.
    private boolean isMaterialized_ = true;

    // If true, computeMemLayout() has been called and we can't add any additional slots.
    private boolean hasMemLayout_ = false;

    private int byteSize_; // of all slots plus null indicators
    private int numNullBytes_;
    private float avgSerializedSize_; // in bytes; includes serialization overhead

    public TupleDescriptor(TupleId id, String debugName) {
        id_ = id;
        path_ = null;
        debugName_ = debugName;
    }

    public void addSlot(SlotDescriptor desc) {
        Preconditions.checkState(!hasMemLayout_);
        slots_.add(desc);
    }

    public TupleId getId() {
        return id_;
    }

    public ArrayList<SlotDescriptor> getSlots() {
        return slots_;
    }

    public ArrayList<SlotDescriptor> getMaterializedSlots() {
        ArrayList<SlotDescriptor> result = Lists.newArrayList();
        for (SlotDescriptor slot : slots_) {
            if (slot.isMaterialized())
                result.add(slot);
        }
        return result;
    }

    /**
     * Returns all materialized slots ordered by their offset. Valid to call after the
     * mem layout has been computed.
     */
    public ArrayList<SlotDescriptor> getSlotsOrderedByOffset() {
        Preconditions.checkState(hasMemLayout_);
        ArrayList<SlotDescriptor> result = getMaterializedSlots();
        Collections.sort(result, new Comparator<SlotDescriptor>() {
            public int compare(SlotDescriptor a, SlotDescriptor b) {
                return Integer.compare(a.getByteOffset(), b.getByteOffset());
            }
        });
        return result;
    }

    public Table getTable() {
        if (path_ == null)
            return null;
        return path_.getRootTable();
    }

    public TableName getTableName() {
        Table t = getTable();
        return (t == null) ? null : t.getTableName();
    }

    public void setPath(Path p) {
        Preconditions.checkNotNull(p);
        Preconditions.checkState(p.isResolved());
        Preconditions.checkState(p.destType().isCollectionType());
        path_ = p;
        if (p.destTable() != null) {
            // Do not use Path.getTypeAsStruct() to only allow implicit path resolutions,
            // because this tuple desc belongs to a base table ref.
            type_ = (StructType) p.destTable().getType().getItemType();
        } else {
            // Also allow explicit path resolutions.
            type_ = Path.getTypeAsStruct(p.destType());
        }
    }

    public Path getPath() {
        return path_;
    }

    public void setType(StructType type) {
        type_ = type;
    }

    public StructType getType() {
        return type_;
    }

    public int getByteSize() {
        return byteSize_;
    }

    public float getAvgSerializedSize() {
        return avgSerializedSize_;
    }

    public boolean isMaterialized() {
        return isMaterialized_;
    }

    public void setIsMaterialized(boolean value) {
        isMaterialized_ = value;
    }

    public boolean hasMemLayout() {
        return hasMemLayout_;
    }

    public void setAliases(String[] aliases, boolean hasExplicitAlias) {
        aliases_ = aliases;
        hasExplicitAlias_ = hasExplicitAlias;
    }

    public boolean hasExplicitAlias() {
        return hasExplicitAlias_;
    }

    public String getAlias() {
        return (aliases_ != null) ? aliases_[0] : null;
    }

    public TableName getAliasAsName() {
        return (aliases_ != null) ? new TableName(null, aliases_[0]) : null;
    }

    public TupleDescriptor getRootDesc() {
        if (path_ == null)
            return null;
        return path_.getRootDesc();
    }

    public String debugString() {
        String tblStr = (getTable() == null ? "null" : getTable().getFullName());
        List<String> slotStrings = Lists.newArrayList();
        for (SlotDescriptor slot : slots_) {
            slotStrings.add(slot.debugString());
        }
        return Objects.toStringHelper(this).add("id", id_.asInt()).add("name", debugName_).add("tbl", tblStr)
                .add("byte_size", byteSize_).add("is_materialized", isMaterialized_)
                .add("slots", "[" + Joiner.on(", ").join(slotStrings) + "]").toString();
    }

    /**
     * Checks that this tuple is materialized and has a mem layout. Throws if this tuple
     * is not executable, i.e., if one of those conditions is not met.
     */
    public void checkIsExecutable() {
        Preconditions.checkState(isMaterialized_,
                String.format("Illegal reference to non-materialized tuple: debugname=%s alias=%s tid=%s",
                        debugName_, StringUtils.defaultIfEmpty(getAlias(), "n/a"), id_));
        Preconditions.checkState(hasMemLayout_,
                String.format("Missing memory layout for tuple: debugname=%s alias=%s tid=%s", debugName_,
                        StringUtils.defaultIfEmpty(getAlias(), "n/a"), id_));
    }

    /**
     * Materialize all slots.
     */
    public void materializeSlots() {
        for (SlotDescriptor slot : slots_)
            slot.setIsMaterialized(true);
    }

    public TTupleDescriptor toThrift(Integer tableId) {
        TTupleDescriptor ttupleDesc = new TTupleDescriptor(id_.asInt(), byteSize_, numNullBytes_);
        if (tableId == null)
            return ttupleDesc;
        ttupleDesc.setTableId(tableId);
        Preconditions.checkNotNull(path_);
        ttupleDesc.setTuplePath(path_.getAbsolutePath());
        return ttupleDesc;
    }

    public void computeMemLayout() {
        if (hasMemLayout_)
            return;
        hasMemLayout_ = true;

        boolean alwaysAddNullBit = hasNullableKuduScanSlots();

        // maps from slot size to slot descriptors with that size
        Map<Integer, List<SlotDescriptor>> slotsBySize = new HashMap<Integer, List<SlotDescriptor>>();

        // populate slotsBySize
        int numNullBits = 0;
        int totalSlotSize = 0;
        for (SlotDescriptor d : slots_) {
            if (!d.isMaterialized())
                continue;
            ColumnStats stats = d.getStats();
            if (stats.hasAvgSerializedSize()) {
                avgSerializedSize_ += d.getStats().getAvgSerializedSize();
            } else {
                // TODO: for computed slots, try to come up with stats estimates
                avgSerializedSize_ += d.getType().getSlotSize();
            }
            if (!slotsBySize.containsKey(d.getType().getSlotSize())) {
                slotsBySize.put(d.getType().getSlotSize(), new ArrayList<SlotDescriptor>());
            }
            totalSlotSize += d.getType().getSlotSize();
            slotsBySize.get(d.getType().getSlotSize()).add(d);
            if (d.getIsNullable() || alwaysAddNullBit)
                ++numNullBits;
        }
        // we shouldn't have anything of size <= 0
        Preconditions.checkState(!slotsBySize.containsKey(0));
        Preconditions.checkState(!slotsBySize.containsKey(-1));

        // assign offsets to slots in order of descending size
        numNullBytes_ = (numNullBits + 7) / 8;
        int slotOffset = 0;
        int nullIndicatorByte = totalSlotSize;
        int nullIndicatorBit = 0;
        // slotIdx is the index into the resulting tuple struct.  The first (largest) field
        // is 0, next is 1, etc.
        int slotIdx = 0;
        // sort slots in descending order of size
        List<Integer> sortedSizes = new ArrayList<Integer>(slotsBySize.keySet());
        Collections.sort(sortedSizes, Collections.reverseOrder());
        for (int slotSize : sortedSizes) {
            if (slotsBySize.get(slotSize).isEmpty())
                continue;
            for (SlotDescriptor d : slotsBySize.get(slotSize)) {
                Preconditions.checkState(d.isMaterialized());
                d.setByteSize(slotSize);
                d.setByteOffset(slotOffset);
                d.setSlotIdx(slotIdx++);
                slotOffset += slotSize;

                // assign null indicator
                if (d.getIsNullable() || alwaysAddNullBit) {
                    d.setNullIndicatorByte(nullIndicatorByte);
                    d.setNullIndicatorBit(nullIndicatorBit);
                    nullIndicatorBit = (nullIndicatorBit + 1) % 8;
                    if (nullIndicatorBit == 0)
                        ++nullIndicatorByte;
                }
                // non-nullable slots have 0 for the byte offset and -1 for the bit mask
                // to make sure IS NULL always evaluates to false in the BE without having
                // to check nullability explicitly
                if (!d.getIsNullable()) {
                    d.setNullIndicatorBit(-1);
                    d.setNullIndicatorByte(0);
                }
            }
        }
        Preconditions.checkState(slotOffset == totalSlotSize);

        byteSize_ = totalSlotSize + numNullBytes_;
    }

    /**
     * Returns true if this tuple has at least one materialized nullable Kudu scan slot.
     */
    private boolean hasNullableKuduScanSlots() {
        if (!(getTable() instanceof KuduTable))
            return false;
        for (SlotDescriptor d : slots_) {
            if (d.isMaterialized() && d.getIsNullable())
                return true;
        }
        return false;
    }

    /**
     * Return true if the slots being materialized are all partition columns.
     */
    public boolean hasClusteringColsOnly() {
        Table table = getTable();
        if (!(table instanceof HdfsTable) || table.getNumClusteringCols() == 0)
            return false;

        HdfsTable hdfsTable = (HdfsTable) table;
        for (SlotDescriptor slotDesc : getSlots()) {
            if (!slotDesc.isMaterialized())
                continue;
            if (slotDesc.getColumn() == null
                    || slotDesc.getColumn().getPosition() >= hdfsTable.getNumClusteringCols()) {
                return false;
            }
        }
        return true;
    }

    /**
     * Returns a list of slot ids that correspond to partition columns.
     */
    public List<SlotId> getPartitionSlots() {
        List<SlotId> partitionSlots = Lists.newArrayList();
        for (SlotDescriptor slotDesc : getSlots()) {
            if (slotDesc.getColumn() == null)
                continue;
            if (slotDesc.getColumn().getPosition() < getTable().getNumClusteringCols()) {
                partitionSlots.add(slotDesc.getId());
            }
        }
        return partitionSlots;
    }
}