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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.
/*
* 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.cassandra.index.sasi.plan;
import java.util.*;
import org.apache.cassandra.config.CFMetaData;
import org.apache.cassandra.db.*;
import org.apache.cassandra.db.partitions.UnfilteredPartitionIterator;
import org.apache.cassandra.db.rows.*;
import org.apache.cassandra.dht.AbstractBounds;
import org.apache.cassandra.index.sasi.disk.Token;
import org.apache.cassandra.index.sasi.plan.Operation.OperationType;
import org.apache.cassandra.exceptions.RequestTimeoutException;
import org.apache.cassandra.io.util.FileUtils;
import org.apache.cassandra.utils.AbstractIterator;
public class QueryPlan
{
private final QueryController controller;
public QueryPlan(ColumnFamilyStore cfs, ReadCommand command, long executionQuotaMs)
{
this.controller = new QueryController(cfs, (PartitionRangeReadCommand) command, executionQuotaMs);
}
/**
* Converts expressions into operation tree (which is currently just a single AND).
*
* Operation tree allows us to do a couple of important optimizations
* namely, group flattening for AND operations (query rewrite), expression bounds checks,
* "satisfies by" checks for resulting rows with an early exit.
*
* @return root of the operations tree.
*/
private Operation analyze()
{
try
{
Operation.Builder and = new Operation.Builder(OperationType.AND, controller);
controller.getExpressions().forEach(and::add);
return and.complete();
}
catch (Exception | Error e)
{
controller.finish();
throw e;
}
}
public UnfilteredPartitionIterator execute(ReadExecutionController executionController) throws RequestTimeoutException
{
return new ResultIterator(analyze(), controller, executionController);
}
private static class ResultIterator extends AbstractIterator implements UnfilteredPartitionIterator
{
private final AbstractBounds keyRange;
private final Operation operationTree;
private final QueryController controller;
private final ReadExecutionController executionController;
private Iterator currentKeys = null;
public ResultIterator(Operation operationTree, QueryController controller, ReadExecutionController executionController)
{
this.keyRange = controller.dataRange().keyRange();
this.operationTree = operationTree;
this.controller = controller;
this.executionController = executionController;
if (operationTree != null)
operationTree.skipTo((Long) keyRange.left.getToken().getTokenValue());
}
protected UnfilteredRowIterator computeNext()
{
if (operationTree == null)
return endOfData();
for (;;)
{
if (currentKeys == null || !currentKeys.hasNext())
{
if (!operationTree.hasNext())
return endOfData();
Token token = operationTree.next();
currentKeys = token.iterator();
}
while (currentKeys.hasNext())
{
DecoratedKey key = currentKeys.next();
if (!keyRange.right.isMinimum() && keyRange.right.compareTo(key) < 0)
return endOfData();
if (!keyRange.inclusiveLeft() && key.compareTo(keyRange.left) == 0)
continue;
try (UnfilteredRowIterator partition = controller.getPartition(key, executionController))
{
Row staticRow = partition.staticRow();
List clusters = new ArrayList<>();
while (partition.hasNext())
{
Unfiltered row = partition.next();
if (operationTree.satisfiedBy(row, staticRow, true))
clusters.add(row);
}
if (!clusters.isEmpty())
return new PartitionIterator(partition, clusters);
}
}
}
}
private static class PartitionIterator extends AbstractUnfilteredRowIterator
{
private final Iterator rows;
public PartitionIterator(UnfilteredRowIterator partition, Collection content)
{
super(partition.metadata(),
partition.partitionKey(),
partition.partitionLevelDeletion(),
partition.columns(),
partition.staticRow(),
partition.isReverseOrder(),
partition.stats());
rows = content.iterator();
}
@Override
protected Unfiltered computeNext()
{
return rows.hasNext() ? rows.next() : endOfData();
}
}
public boolean isForThrift()
{
return controller.isForThrift();
}
public CFMetaData metadata()
{
return controller.metadata();
}
public void close()
{
FileUtils.closeQuietly(operationTree);
controller.finish();
}
}
}