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CHAPTER 11 QUERY OPTIMIZATION
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Caution If you encounter strange errors while compiling, check to make sure you are not including the
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attribute, expression, and query_tree header files in your compilation. The compiler will automatically include these files by following the include directives.
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Details of the Heuristic Optimizer
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The heuristic optimizer is implemented using the model of the rules described earlier. The methods used in the heuristic optimizer each implement some or all the rules. These methods are listed in Table 11-3.
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Table 11-3. Heuristic Methods in the Heuristic Optimizer
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Method
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split_restrict_with_join()
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Description
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Searches the tree for nodes that have a restriction (has expressions) and a join expression. It divides the node into two nodes: one for the restriction and one for the join. Searches the tree for nodes that have a projection (has attributes) and a join expression. It divides the node into two nodes: one for the projection and one for the join. Searches the tree for nodes that have a restriction (has expressions) and a projection (has attributes). It divides the node into two nodes: one for the restriction and one for the projection. Searches the tree for a restriction node that is not already at a leaf. Pushes the restrictions down the tree to the lowest node possible. It looks for situations where the restriction can reside at a leaf. This method is used with find_restrictions() in a loop (the loop ends when no more restrictions are found that are not already at a leaf). Searches the tree for a projection node that is not already at a leaf. Pushes the projections down the tree to the lowest node possible. It looks for situations where the projection can reside at a leaf or as a parent of a restriction. This method is used with find_projections() in a loop (the loop ends when no more projections are found that are not already at a leaf or the parent of a leaf that is a restriction). Searches the tree for a join node. Pushes the joins down the tree to the nodes as parents to qualifying restrictions and/or projections (those that operate on the tables in the join). Identifies nodes in the tree that have been optimized away and are no longer valid (no attributes or expressions and not a join or sort) and deletes them.
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split_project_with_join()
split_restrict_with_project()
find_restriction() push_restrictions()
find_projection() push_projections()
find_join() push_joins()
prune_tree()
CHAPTER 11 QUERY OPTIMIZATION
The implementation of the heuristic optimizer reads very easily. Listing 11-10 shows the source code implementation for the heuristic_optimization() method. Listing 11-10. The DBXP Heuristic Optimization Method /* Perform heuristic optimization SYNOPSIS heuristic_optimization() DESCRIPTION This method performs heuristic optimization on the query tree. The operation is destructive in that it rearranges the original tree. RETURN VALUE Success = 0 Failed = 1 */ int Query_tree::heuristic_optimization() { DBUG_ENTER("heuristic_optimization"); query_node *pNode; query_node *nNode; h_opt = true; /* First, we have to correct the situation where restrict and project are grouped together in the same node. */ split_restrict_with_join(root); split_project_with_join(root); split_restrict_with_project(root); /* Find a node with restrictions and push down the tree using a recursive call. continue until you get the same node twice. This means that the node cannot be pushed down any further. */ pNode = find_restriction(root); while(pNode != 0) { push_restrictions(root, pNode); nNode = find_restriction(root);
CHAPTER 11 QUERY OPTIMIZATION
/* If a node is found, save a reference to it unless it is either the same node as the last node found or it is a leaf node. This is done so that we can ensure we continue searching down the tree visiting each node once. */ if(nNode != 0) { if(nNode->nodeid == pNode->nodeid) pNode = 0; else if(is_leaf(nNode)) pNode = 0; else pNode = nNode; } } /* Find a node with projections and push down the tree using a recursive call. Continue until you get the same node twice. This means that the node cannot be pushed down any further. */ pNode = find_projection(root); while(pNode != 0) { push_projections(root, pNode); nNode = find_projection(root); /* If a node is found, save a reference to it unless it is either the same node as the last node found or it is a leaf node. This is done so that we can ensure we continue searching down the tree visiting each node once. */ if(nNode != 0) { if(nNode->nodeid == pNode->nodeid) pNode = 0; else if(is_leaf(nNode)) pNode = 0; else pNode = nNode; } } /* Find a join node and push it down the tree using a recursive call. Continue until you get the same node twice. This means that the node cannot be pushed down any further.
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