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nexedi
MariaDB
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d1e9d213
Commit
d1e9d213
authored
Oct 09, 2019
by
Varun Gupta
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Improved the description
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1e60b614
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sql/sql_sort_nest.cc
sql/sql_sort_nest.cc
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sql/sql_sort_nest.cc
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d1e9d213
...
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@@ -82,94 +82,95 @@ Let us divide the implementation details in 3 stages:
OPTIMIZATION STAGE
-
We invoke the join planner to get an estimate of the cardinality of
the
join. This is needed
for pushing the LIMIT in different partial plans
which can resolve the ORDER BY clause
.
-
The join planner is invoked to get an estimate of the cardinality for
the
join. This is needed
to estimate the number of records that are needed to be
read from the result of sorting
.
- Join planner is invoked again to find the best join order for the tables
inside the join. The join planner enumerated various join orders.
For each partial plan we try to find out if it can resolve the ORDER BY
clause or not.
To resolve the ORDER BY clause, equalities from the WHERE clause are also
considered.
- The cost of every potentially usable execution plan such that its first
joined tables forms a bush the result of which is sorted in accordance with
the ORDER BY clause. The evaluations takes into account that the LIMIT
operation can be pushed right after the sort operation.
- After a partial plan that can resolve ORDER BY clause is found, we push
the LIMIT to the partial plan.
The recursive procedure that enumerates such execution plans considers
inserting a sort operation for any partial join prefix that can resolve the
ORDER BY clause
So for each such partial join prefix the procedure considers two options:
1) to insert the sort operation immediately
2) to add it later after expanding this partial join.
For a partial prefix that cannot resolve the required ordering the procedure
just extends the partial join.
- Access methods that ensure pre-existing ordering are also taken into account
inside the join planner. There can be indexes on the first non-const table
that can resolve the ORDER BY clause. So we push the LIMIT to the first
non-const table also.
- For each partial plan that can resolve the ORDER BY clause,
we consider 2 cases
1) Push the LIMIT at the current partial plan
2) Push the LIMIT later
that can resolve the ORDER BY clause. So the LIMIT is also pushed to the
first non-const table also in this case.
This helps us to enumerate all plans where on can push LIMIT
at
different
This helps us to enumerate all plans where on can push LIMIT
to
different
partial plans. Finally the plan with the lowest cost is picked by the join
planner
planner.
COMPILATION STAGE
A nest is a subset of join tables.
A materialized nest is a nest whose tables are joined together and result
is put inside a temporary table.
Sort nest is a materialized nest which can be sorted.
Preparation of Sort Nest
Let's say
we have the best join order a
s:
Let's say
the best join order i
s:
t1, t2, t3, t4 .............tk,tk+1.........................tn
|<---------prefix------------>|<-------suffix--------------->|
The array of join_tab structures would look like
t1, t2, t3, t4 .............tk, <sort nest>, tk+1.........................tn
After the best execution plan is picked by the join planner which requires
a nest for a prefix of tables that can resolve the ORDER BY clause, we want
to prepare the temporary table that would hold the result of materialization
of the tables in the prefix.
t1, t2, t3, t4..............tk ======> inner tables of the nest
Consider the execution plan finally chosen by the planner.
This is a linear plan whose first node is a temporary table that is created for
the sort nest.
To create the temporary table we need a list of Items which we want to store
inside the temporary table of the nest. Currently this list contains all
fields of the inner tables of the nest that have their bitmap read_set set.
With this list of Items we create the temporary table for the nest.
Also we create a list of Items for all the fields of the temporary table.
This list is needed for substitution of items that will be evaluated in the
POST ORDER BY context.
Join used for the sort nest is also executed by a linear plan.
materialize
t1, t2, t3, t4..............tk ============> <sort nest>
|<---------prefix----------->|
Here the sort nest is the first node as stated above:
After the nest for the prefix is prepared, we extract a sub-condition which is
dependent on the inner tables of the nest from the WHERE clause. This
condition is then attached to the inner tables of the nest. This condition
would be evaluated before the ORDER BY clause is applied to the temporary
table of the nest.
<sort nest> [sort], tk+1.........................tn
|<-------suffix-------------->|
To create the temporary table of the nest a list of Items that are going to be
stored inside the temporary table is needed. Currently this list contains
fields of the inner tables of the nest that have their bitmap read_set set.
We need to make substitution for items belonging to the inner tables of the
nest which will be evaluated in the POST ORDER BY context. These items need
to be substituted with the corresponding items of the temporary table
of the nest.
After the temporary table for the sort nest is created the conditions that can
be pushed there are extracted from the WHERE clause. Thus the join with the
sort nest can use only remainder of the extraction. This new condition has to
be re-bound to refer to the columns of the temporary table whenever references
to inner tables of the nest were used.
Similarly for ON clause, SELECT list, ORDER BY clause and REF items this
rebinding needs to be done.
EXECUTION STAGE
Let's say
we have the best join order a
s:
Let's say
the best join order i
s:
t1, t2, t3, t4 .............tk,tk+1.........................tn
|<---------prefix------------>|<-------suffix--------------->|
The prefix are the inner table of the sort nest while the suffix are the
The prefix are the inner table
s
of the sort nest while the suffix are the
tables outside the sort nest.
As soon as the join execution starts, we compute the partial join for the
tables in the prefix and store the result inside the temporary table
for the sort nest.
Then we sort the temporary table in accordance with the ORDER BY clause.
After the sort is performed we read the records from the temporary
table of the sort nest one by one and continue the join with the
tables in the suffix.
On the execution stage, the join executor computes the partial join for the
tables in the prefix and stores the result inside the temporary table of the
sort nest.
The join execution for this optimization can be split in 3 parts
...
...
@@ -180,13 +181,13 @@ Let's say we have the best join order as:
b) Sort the <sort nest> in accordance with the ORDER BY clause
c) Read records from the
Filesort buffer one by one and continue
join
execution with the tables in the suffix
c) Read records from the
the result of sorting one by one and
join
with the tables in the suffix with NESTED LOOP JOIN
<sort nest>, tk+1.........................tn
|<----------suffix----------->|
The execution stops as soon as we get LIMIT records in the output.
The execution stops as soon as we get LIMIT records in the output.
*/
...
...
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