1
by brian
clean slate |
1 |
/* Copyright (C) 2000-2003 MySQL AB
|
2 |
||
3 |
This program is free software; you can redistribute it and/or modify
|
|
4 |
it under the terms of the GNU General Public License as published by
|
|
5 |
the Free Software Foundation; version 2 of the License.
|
|
6 |
||
7 |
This program is distributed in the hope that it will be useful,
|
|
8 |
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
9 |
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
10 |
GNU General Public License for more details.
|
|
11 |
||
12 |
You should have received a copy of the GNU General Public License
|
|
13 |
along with this program; if not, write to the Free Software
|
|
14 |
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */
|
|
15 |
||
16 |
||
17 |
/**
|
|
18 |
@file
|
|
19 |
||
20 |
@brief
|
|
21 |
Sum functions (COUNT, MIN...)
|
|
22 |
*/
|
|
23 |
||
24 |
#ifdef USE_PRAGMA_IMPLEMENTATION
|
|
25 |
#pragma implementation // gcc: Class implementation |
|
26 |
#endif
|
|
27 |
||
28 |
#include "mysql_priv.h" |
|
29 |
#include "sql_select.h" |
|
30 |
||
31 |
/**
|
|
32 |
Prepare an aggregate function item for checking context conditions.
|
|
33 |
||
34 |
The function initializes the members of the Item_sum object created
|
|
35 |
for a set function that are used to check validity of the set function
|
|
36 |
occurrence.
|
|
37 |
If the set function is not allowed in any subquery where it occurs
|
|
38 |
an error is reported immediately.
|
|
39 |
||
40 |
@param thd reference to the thread context info
|
|
41 |
||
42 |
@note
|
|
43 |
This function is to be called for any item created for a set function
|
|
44 |
object when the traversal of trees built for expressions used in the query
|
|
45 |
is performed at the phase of context analysis. This function is to
|
|
46 |
be invoked at the descent of this traversal.
|
|
47 |
@retval
|
|
48 |
TRUE if an error is reported
|
|
49 |
@retval
|
|
50 |
FALSE otherwise
|
|
51 |
*/
|
|
52 |
||
53 |
bool Item_sum::init_sum_func_check(THD *thd) |
|
54 |
{
|
|
55 |
if (!thd->lex->allow_sum_func) |
|
56 |
{
|
|
57 |
my_message(ER_INVALID_GROUP_FUNC_USE, ER(ER_INVALID_GROUP_FUNC_USE), |
|
58 |
MYF(0)); |
|
59 |
return TRUE; |
|
60 |
}
|
|
61 |
/* Set a reference to the nesting set function if there is any */
|
|
62 |
in_sum_func= thd->lex->in_sum_func; |
|
63 |
/* Save a pointer to object to be used in items for nested set functions */
|
|
64 |
thd->lex->in_sum_func= this; |
|
65 |
nest_level= thd->lex->current_select->nest_level; |
|
66 |
ref_by= 0; |
|
67 |
aggr_level= -1; |
|
68 |
aggr_sel= NULL; |
|
69 |
max_arg_level= -1; |
|
70 |
max_sum_func_level= -1; |
|
71 |
outer_fields.empty(); |
|
72 |
return FALSE; |
|
73 |
}
|
|
74 |
||
75 |
/**
|
|
76 |
Check constraints imposed on a usage of a set function.
|
|
77 |
||
78 |
The method verifies whether context conditions imposed on a usage
|
|
79 |
of any set function are met for this occurrence.
|
|
80 |
It checks whether the set function occurs in the position where it
|
|
81 |
can be aggregated and, when it happens to occur in argument of another
|
|
82 |
set function, the method checks that these two functions are aggregated in
|
|
83 |
different subqueries.
|
|
84 |
If the context conditions are not met the method reports an error.
|
|
85 |
If the set function is aggregated in some outer subquery the method
|
|
86 |
adds it to the chain of items for such set functions that is attached
|
|
87 |
to the the st_select_lex structure for this subquery.
|
|
88 |
||
89 |
A number of designated members of the object are used to check the
|
|
90 |
conditions. They are specified in the comment before the Item_sum
|
|
91 |
class declaration.
|
|
92 |
Additionally a bitmap variable called allow_sum_func is employed.
|
|
93 |
It is included into the thd->lex structure.
|
|
94 |
The bitmap contains 1 at n-th position if the set function happens
|
|
95 |
to occur under a construct of the n-th level subquery where usage
|
|
96 |
of set functions are allowed (i.e either in the SELECT list or
|
|
97 |
in the HAVING clause of the corresponding subquery)
|
|
98 |
Consider the query:
|
|
99 |
@code
|
|
100 |
SELECT SUM(t1.b) FROM t1 GROUP BY t1.a
|
|
101 |
HAVING t1.a IN (SELECT t2.c FROM t2 WHERE AVG(t1.b) > 20) AND
|
|
102 |
t1.a > (SELECT MIN(t2.d) FROM t2);
|
|
103 |
@endcode
|
|
104 |
allow_sum_func will contain:
|
|
105 |
- for SUM(t1.b) - 1 at the first position
|
|
106 |
- for AVG(t1.b) - 1 at the first position, 0 at the second position
|
|
107 |
- for MIN(t2.d) - 1 at the first position, 1 at the second position.
|
|
108 |
||
109 |
@param thd reference to the thread context info
|
|
110 |
@param ref location of the pointer to this item in the embedding expression
|
|
111 |
||
112 |
@note
|
|
113 |
This function is to be called for any item created for a set function
|
|
114 |
object when the traversal of trees built for expressions used in the query
|
|
115 |
is performed at the phase of context analysis. This function is to
|
|
116 |
be invoked at the ascent of this traversal.
|
|
117 |
||
118 |
@retval
|
|
119 |
TRUE if an error is reported
|
|
120 |
@retval
|
|
121 |
FALSE otherwise
|
|
122 |
*/
|
|
123 |
||
124 |
bool Item_sum::check_sum_func(THD *thd, Item **ref) |
|
125 |
{
|
|
126 |
bool invalid= FALSE; |
|
127 |
nesting_map allow_sum_func= thd->lex->allow_sum_func; |
|
128 |
/*
|
|
129 |
The value of max_arg_level is updated if an argument of the set function
|
|
130 |
contains a column reference resolved against a subquery whose level is
|
|
131 |
greater than the current value of max_arg_level.
|
|
132 |
max_arg_level cannot be greater than nest level.
|
|
133 |
nest level is always >= 0
|
|
134 |
*/
|
|
135 |
if (nest_level == max_arg_level) |
|
136 |
{
|
|
137 |
/*
|
|
138 |
The function must be aggregated in the current subquery,
|
|
139 |
If it is there under a construct where it is not allowed
|
|
140 |
we report an error.
|
|
141 |
*/
|
|
142 |
invalid= !(allow_sum_func & (1 << max_arg_level)); |
|
143 |
}
|
|
144 |
else if (max_arg_level >= 0 || !(allow_sum_func & (1 << nest_level))) |
|
145 |
{
|
|
146 |
/*
|
|
147 |
The set function can be aggregated only in outer subqueries.
|
|
148 |
Try to find a subquery where it can be aggregated;
|
|
149 |
If we fail to find such a subquery report an error.
|
|
150 |
*/
|
|
151 |
if (register_sum_func(thd, ref)) |
|
152 |
return TRUE; |
|
153 |
invalid= aggr_level < 0 && !(allow_sum_func & (1 << nest_level)); |
|
154 |
if (!invalid && thd->variables.sql_mode & MODE_ANSI) |
|
155 |
invalid= aggr_level < 0 && max_arg_level < nest_level; |
|
156 |
}
|
|
157 |
if (!invalid && aggr_level < 0) |
|
158 |
{
|
|
159 |
aggr_level= nest_level; |
|
160 |
aggr_sel= thd->lex->current_select; |
|
161 |
}
|
|
162 |
/*
|
|
163 |
By this moment we either found a subquery where the set function is
|
|
164 |
to be aggregated and assigned a value that is >= 0 to aggr_level,
|
|
165 |
or set the value of 'invalid' to TRUE to report later an error.
|
|
166 |
*/
|
|
167 |
/*
|
|
168 |
Additionally we have to check whether possible nested set functions
|
|
169 |
are acceptable here: they are not, if the level of aggregation of
|
|
170 |
some of them is less than aggr_level.
|
|
171 |
*/
|
|
172 |
if (!invalid) |
|
173 |
invalid= aggr_level <= max_sum_func_level; |
|
174 |
if (invalid) |
|
175 |
{
|
|
176 |
my_message(ER_INVALID_GROUP_FUNC_USE, ER(ER_INVALID_GROUP_FUNC_USE), |
|
177 |
MYF(0)); |
|
178 |
return TRUE; |
|
179 |
}
|
|
180 |
||
181 |
if (in_sum_func) |
|
182 |
{
|
|
183 |
/*
|
|
184 |
If the set function is nested adjust the value of
|
|
185 |
max_sum_func_level for the nesting set function.
|
|
186 |
We take into account only enclosed set functions that are to be
|
|
187 |
aggregated on the same level or above of the nest level of
|
|
188 |
the enclosing set function.
|
|
189 |
But we must always pass up the max_sum_func_level because it is
|
|
190 |
the maximum nested level of all directly and indirectly enclosed
|
|
191 |
set functions. We must do that even for set functions that are
|
|
192 |
aggregated inside of their enclosing set function's nest level
|
|
193 |
because the enclosing function may contain another enclosing
|
|
194 |
function that is to be aggregated outside or on the same level
|
|
195 |
as its parent's nest level.
|
|
196 |
*/
|
|
197 |
if (in_sum_func->nest_level >= aggr_level) |
|
198 |
set_if_bigger(in_sum_func->max_sum_func_level, aggr_level); |
|
199 |
set_if_bigger(in_sum_func->max_sum_func_level, max_sum_func_level); |
|
200 |
}
|
|
201 |
||
202 |
/*
|
|
203 |
Check that non-aggregated fields and sum functions aren't mixed in the
|
|
204 |
same select in the ONLY_FULL_GROUP_BY mode.
|
|
205 |
*/
|
|
206 |
if (outer_fields.elements) |
|
207 |
{
|
|
208 |
Item_field *field; |
|
209 |
/*
|
|
210 |
Here we compare the nesting level of the select to which an outer field
|
|
211 |
belongs to with the aggregation level of the sum function. All fields in
|
|
212 |
the outer_fields list are checked.
|
|
213 |
||
214 |
If the nesting level is equal to the aggregation level then the field is
|
|
215 |
aggregated by this sum function.
|
|
216 |
If the nesting level is less than the aggregation level then the field
|
|
217 |
belongs to an outer select. In this case if there is an embedding sum
|
|
218 |
function add current field to functions outer_fields list. If there is
|
|
219 |
no embedding function then the current field treated as non aggregated
|
|
220 |
and the select it belongs to is marked accordingly.
|
|
221 |
If the nesting level is greater than the aggregation level then it means
|
|
222 |
that this field was added by an inner sum function.
|
|
223 |
Consider an example:
|
|
224 |
||
225 |
select avg ( <-- we are here, checking outer.f1
|
|
226 |
select (
|
|
227 |
select sum(outer.f1 + inner.f1) from inner
|
|
228 |
) from outer)
|
|
229 |
from most_outer;
|
|
230 |
||
231 |
In this case we check that no aggregate functions are used in the
|
|
232 |
select the field belongs to. If there are some then an error is
|
|
233 |
raised.
|
|
234 |
*/
|
|
235 |
List_iterator<Item_field> of(outer_fields); |
|
236 |
while ((field= of++)) |
|
237 |
{
|
|
238 |
SELECT_LEX *sel= field->cached_table->select_lex; |
|
239 |
if (sel->nest_level < aggr_level) |
|
240 |
{
|
|
241 |
if (in_sum_func) |
|
242 |
{
|
|
243 |
/*
|
|
244 |
Let upper function decide whether this field is a non
|
|
245 |
aggregated one.
|
|
246 |
*/
|
|
247 |
in_sum_func->outer_fields.push_back(field); |
|
248 |
}
|
|
249 |
else
|
|
250 |
sel->full_group_by_flag|= NON_AGG_FIELD_USED; |
|
251 |
}
|
|
252 |
if (sel->nest_level > aggr_level && |
|
253 |
(sel->full_group_by_flag & SUM_FUNC_USED) && |
|
254 |
!sel->group_list.elements) |
|
255 |
{
|
|
256 |
my_message(ER_MIX_OF_GROUP_FUNC_AND_FIELDS, |
|
257 |
ER(ER_MIX_OF_GROUP_FUNC_AND_FIELDS), MYF(0)); |
|
258 |
return TRUE; |
|
259 |
}
|
|
260 |
}
|
|
261 |
}
|
|
262 |
aggr_sel->full_group_by_flag|= SUM_FUNC_USED; |
|
263 |
update_used_tables(); |
|
264 |
thd->lex->in_sum_func= in_sum_func; |
|
265 |
return FALSE; |
|
266 |
}
|
|
267 |
||
268 |
/**
|
|
269 |
Attach a set function to the subquery where it must be aggregated.
|
|
270 |
||
271 |
The function looks for an outer subquery where the set function must be
|
|
272 |
aggregated. If it finds such a subquery then aggr_level is set to
|
|
273 |
the nest level of this subquery and the item for the set function
|
|
274 |
is added to the list of set functions used in nested subqueries
|
|
275 |
inner_sum_func_list defined for each subquery. When the item is placed
|
|
276 |
there the field 'ref_by' is set to ref.
|
|
277 |
||
278 |
@note
|
|
279 |
Now we 'register' only set functions that are aggregated in outer
|
|
280 |
subqueries. Actually it makes sense to link all set function for
|
|
281 |
a subquery in one chain. It would simplify the process of 'splitting'
|
|
282 |
for set functions.
|
|
283 |
||
284 |
@param thd reference to the thread context info
|
|
285 |
@param ref location of the pointer to this item in the embedding expression
|
|
286 |
||
287 |
@retval
|
|
288 |
FALSE if the executes without failures (currently always)
|
|
289 |
@retval
|
|
290 |
TRUE otherwise
|
|
291 |
*/
|
|
292 |
||
293 |
bool Item_sum::register_sum_func(THD *thd, Item **ref) |
|
294 |
{
|
|
295 |
SELECT_LEX *sl; |
|
296 |
nesting_map allow_sum_func= thd->lex->allow_sum_func; |
|
297 |
for (sl= thd->lex->current_select->master_unit()->outer_select() ; |
|
298 |
sl && sl->nest_level > max_arg_level; |
|
299 |
sl= sl->master_unit()->outer_select() ) |
|
300 |
{
|
|
301 |
if (aggr_level < 0 && (allow_sum_func & (1 << sl->nest_level))) |
|
302 |
{
|
|
303 |
/* Found the most nested subquery where the function can be aggregated */
|
|
304 |
aggr_level= sl->nest_level; |
|
305 |
aggr_sel= sl; |
|
306 |
}
|
|
307 |
}
|
|
308 |
if (sl && (allow_sum_func & (1 << sl->nest_level))) |
|
309 |
{
|
|
310 |
/*
|
|
311 |
We reached the subquery of level max_arg_level and checked
|
|
312 |
that the function can be aggregated here.
|
|
313 |
The set function will be aggregated in this subquery.
|
|
314 |
*/
|
|
315 |
aggr_level= sl->nest_level; |
|
316 |
aggr_sel= sl; |
|
317 |
||
318 |
}
|
|
319 |
if (aggr_level >= 0) |
|
320 |
{
|
|
321 |
ref_by= ref; |
|
322 |
/* Add the object to the list of registered objects assigned to aggr_sel */
|
|
323 |
if (!aggr_sel->inner_sum_func_list) |
|
324 |
next= this; |
|
325 |
else
|
|
326 |
{
|
|
327 |
next= aggr_sel->inner_sum_func_list->next; |
|
328 |
aggr_sel->inner_sum_func_list->next= this; |
|
329 |
}
|
|
330 |
aggr_sel->inner_sum_func_list= this; |
|
331 |
aggr_sel->with_sum_func= 1; |
|
332 |
||
333 |
/*
|
|
334 |
Mark Item_subselect(s) as containing aggregate function all the way up
|
|
335 |
to aggregate function's calculation context.
|
|
336 |
Note that we must not mark the Item of calculation context itself
|
|
337 |
because with_sum_func on the calculation context st_select_lex is
|
|
338 |
already set above.
|
|
339 |
||
340 |
with_sum_func being set for an Item means that this Item refers
|
|
341 |
(somewhere in it, e.g. one of its arguments if it's a function) directly
|
|
342 |
or through intermediate items to an aggregate function that is calculated
|
|
343 |
in a context "outside" of the Item (e.g. in the current or outer select).
|
|
344 |
||
345 |
with_sum_func being set for an st_select_lex means that this st_select_lex
|
|
346 |
has aggregate functions directly referenced (i.e. not through a sub-select).
|
|
347 |
*/
|
|
348 |
for (sl= thd->lex->current_select; |
|
349 |
sl && sl != aggr_sel && sl->master_unit()->item; |
|
350 |
sl= sl->master_unit()->outer_select() ) |
|
351 |
sl->master_unit()->item->with_sum_func= 1; |
|
352 |
}
|
|
353 |
thd->lex->current_select->mark_as_dependent(aggr_sel); |
|
354 |
return FALSE; |
|
355 |
}
|
|
356 |
||
357 |
||
358 |
Item_sum::Item_sum(List<Item> &list) :arg_count(list.elements), |
|
359 |
forced_const(FALSE) |
|
360 |
{
|
|
361 |
if ((args=(Item**) sql_alloc(sizeof(Item*)*arg_count))) |
|
362 |
{
|
|
363 |
uint i=0; |
|
364 |
List_iterator_fast<Item> li(list); |
|
365 |
Item *item; |
|
366 |
||
367 |
while ((item=li++)) |
|
368 |
{
|
|
369 |
args[i++]= item; |
|
370 |
}
|
|
371 |
}
|
|
372 |
mark_as_sum_func(); |
|
373 |
list.empty(); // Fields are used |
|
374 |
}
|
|
375 |
||
376 |
||
377 |
/**
|
|
378 |
Constructor used in processing select with temporary tebles.
|
|
379 |
*/
|
|
380 |
||
381 |
Item_sum::Item_sum(THD *thd, Item_sum *item): |
|
382 |
Item_result_field(thd, item), arg_count(item->arg_count), |
|
383 |
aggr_sel(item->aggr_sel), |
|
384 |
nest_level(item->nest_level), aggr_level(item->aggr_level), |
|
385 |
quick_group(item->quick_group), used_tables_cache(item->used_tables_cache), |
|
386 |
forced_const(item->forced_const) |
|
387 |
{
|
|
388 |
if (arg_count <= 2) |
|
389 |
args=tmp_args; |
|
390 |
else
|
|
391 |
if (!(args= (Item**) thd->alloc(sizeof(Item*)*arg_count))) |
|
392 |
return; |
|
393 |
memcpy(args, item->args, sizeof(Item*)*arg_count); |
|
394 |
}
|
|
395 |
||
396 |
||
397 |
void Item_sum::mark_as_sum_func() |
|
398 |
{
|
|
399 |
SELECT_LEX *cur_select= current_thd->lex->current_select; |
|
400 |
cur_select->n_sum_items++; |
|
401 |
cur_select->with_sum_func= 1; |
|
402 |
with_sum_func= 1; |
|
403 |
}
|
|
404 |
||
405 |
||
406 |
void Item_sum::make_field(Send_field *tmp_field) |
|
407 |
{
|
|
408 |
if (args[0]->type() == Item::FIELD_ITEM && keep_field_type()) |
|
409 |
{
|
|
410 |
((Item_field*) args[0])->field->make_field(tmp_field); |
|
411 |
/* For expressions only col_name should be non-empty string. */
|
|
412 |
char *empty_string= (char*)""; |
|
413 |
tmp_field->db_name= empty_string; |
|
414 |
tmp_field->org_table_name= empty_string; |
|
415 |
tmp_field->table_name= empty_string; |
|
416 |
tmp_field->org_col_name= empty_string; |
|
417 |
tmp_field->col_name= name; |
|
418 |
if (maybe_null) |
|
419 |
tmp_field->flags&= ~NOT_NULL_FLAG; |
|
420 |
}
|
|
421 |
else
|
|
422 |
init_make_field(tmp_field, field_type()); |
|
423 |
}
|
|
424 |
||
425 |
||
426 |
void Item_sum::print(String *str, enum_query_type query_type) |
|
427 |
{
|
|
428 |
str->append(func_name()); |
|
429 |
for (uint i=0 ; i < arg_count ; i++) |
|
430 |
{
|
|
431 |
if (i) |
|
432 |
str->append(','); |
|
433 |
args[i]->print(str, query_type); |
|
434 |
}
|
|
435 |
str->append(')'); |
|
436 |
}
|
|
437 |
||
438 |
void Item_sum::fix_num_length_and_dec() |
|
439 |
{
|
|
440 |
decimals=0; |
|
441 |
for (uint i=0 ; i < arg_count ; i++) |
|
442 |
set_if_bigger(decimals,args[i]->decimals); |
|
443 |
max_length=float_length(decimals); |
|
444 |
}
|
|
445 |
||
446 |
Item *Item_sum::get_tmp_table_item(THD *thd) |
|
447 |
{
|
|
448 |
Item_sum* sum_item= (Item_sum *) copy_or_same(thd); |
|
449 |
if (sum_item && sum_item->result_field) // If not a const sum func |
|
450 |
{
|
|
451 |
Field *result_field_tmp= sum_item->result_field; |
|
452 |
for (uint i=0 ; i < sum_item->arg_count ; i++) |
|
453 |
{
|
|
454 |
Item *arg= sum_item->args[i]; |
|
455 |
if (!arg->const_item()) |
|
456 |
{
|
|
457 |
if (arg->type() == Item::FIELD_ITEM) |
|
458 |
((Item_field*) arg)->field= result_field_tmp++; |
|
459 |
else
|
|
460 |
sum_item->args[i]= new Item_field(result_field_tmp++); |
|
461 |
}
|
|
462 |
}
|
|
463 |
}
|
|
464 |
return sum_item; |
|
465 |
}
|
|
466 |
||
467 |
||
468 |
bool Item_sum::walk (Item_processor processor, bool walk_subquery, |
|
469 |
uchar *argument) |
|
470 |
{
|
|
471 |
if (arg_count) |
|
472 |
{
|
|
473 |
Item **arg,**arg_end; |
|
474 |
for (arg= args, arg_end= args+arg_count; arg != arg_end; arg++) |
|
475 |
{
|
|
476 |
if ((*arg)->walk(processor, walk_subquery, argument)) |
|
477 |
return 1; |
|
478 |
}
|
|
479 |
}
|
|
480 |
return (this->*processor)(argument); |
|
481 |
}
|
|
482 |
||
483 |
||
484 |
Field *Item_sum::create_tmp_field(bool group, TABLE *table, |
|
485 |
uint convert_blob_length) |
|
486 |
{
|
|
487 |
Field *field; |
|
488 |
switch (result_type()) { |
|
489 |
case REAL_RESULT: |
|
490 |
field= new Field_double(max_length, maybe_null, name, decimals, TRUE); |
|
491 |
break; |
|
492 |
case INT_RESULT: |
|
493 |
field= new Field_longlong(max_length, maybe_null, name, unsigned_flag); |
|
494 |
break; |
|
495 |
case STRING_RESULT: |
|
496 |
if (max_length/collation.collation->mbmaxlen <= 255 || |
|
497 |
convert_blob_length > Field_varstring::MAX_SIZE || |
|
498 |
!convert_blob_length) |
|
499 |
return make_string_field(table); |
|
500 |
field= new Field_varstring(convert_blob_length, maybe_null, |
|
501 |
name, table->s, collation.collation); |
|
502 |
break; |
|
503 |
case DECIMAL_RESULT: |
|
504 |
field= new Field_new_decimal(max_length, maybe_null, name, |
|
505 |
decimals, unsigned_flag); |
|
506 |
break; |
|
507 |
case ROW_RESULT: |
|
508 |
default: |
|
509 |
// This case should never be choosen
|
|
510 |
DBUG_ASSERT(0); |
|
511 |
return 0; |
|
512 |
}
|
|
513 |
if (field) |
|
514 |
field->init(table); |
|
515 |
return field; |
|
516 |
}
|
|
517 |
||
518 |
||
519 |
void Item_sum::update_used_tables () |
|
520 |
{
|
|
521 |
if (!forced_const) |
|
522 |
{
|
|
523 |
used_tables_cache= 0; |
|
524 |
for (uint i=0 ; i < arg_count ; i++) |
|
525 |
{
|
|
526 |
args[i]->update_used_tables(); |
|
527 |
used_tables_cache|= args[i]->used_tables(); |
|
528 |
}
|
|
529 |
||
530 |
used_tables_cache&= PSEUDO_TABLE_BITS; |
|
531 |
||
532 |
/* the aggregate function is aggregated into its local context */
|
|
533 |
used_tables_cache |= (1 << aggr_sel->join->tables) - 1; |
|
534 |
}
|
|
535 |
}
|
|
536 |
||
537 |
||
538 |
String * |
|
539 |
Item_sum_num::val_str(String *str) |
|
540 |
{
|
|
541 |
return val_string_from_real(str); |
|
542 |
}
|
|
543 |
||
544 |
||
545 |
my_decimal *Item_sum_num::val_decimal(my_decimal *decimal_value) |
|
546 |
{
|
|
547 |
return val_decimal_from_real(decimal_value); |
|
548 |
}
|
|
549 |
||
550 |
||
551 |
String * |
|
552 |
Item_sum_int::val_str(String *str) |
|
553 |
{
|
|
554 |
return val_string_from_int(str); |
|
555 |
}
|
|
556 |
||
557 |
||
558 |
my_decimal *Item_sum_int::val_decimal(my_decimal *decimal_value) |
|
559 |
{
|
|
560 |
return val_decimal_from_int(decimal_value); |
|
561 |
}
|
|
562 |
||
563 |
||
564 |
bool
|
|
565 |
Item_sum_num::fix_fields(THD *thd, Item **ref) |
|
566 |
{
|
|
567 |
DBUG_ASSERT(fixed == 0); |
|
568 |
||
569 |
if (init_sum_func_check(thd)) |
|
570 |
return TRUE; |
|
571 |
||
572 |
decimals=0; |
|
573 |
maybe_null=0; |
|
574 |
for (uint i=0 ; i < arg_count ; i++) |
|
575 |
{
|
|
576 |
if (args[i]->fix_fields(thd, args + i) || args[i]->check_cols(1)) |
|
577 |
return TRUE; |
|
578 |
set_if_bigger(decimals, args[i]->decimals); |
|
579 |
maybe_null |= args[i]->maybe_null; |
|
580 |
}
|
|
581 |
result_field=0; |
|
582 |
max_length=float_length(decimals); |
|
583 |
null_value=1; |
|
584 |
fix_length_and_dec(); |
|
585 |
||
586 |
if (check_sum_func(thd, ref)) |
|
587 |
return TRUE; |
|
588 |
||
589 |
fixed= 1; |
|
590 |
return FALSE; |
|
591 |
}
|
|
592 |
||
593 |
||
594 |
Item_sum_hybrid::Item_sum_hybrid(THD *thd, Item_sum_hybrid *item) |
|
595 |
:Item_sum(thd, item), value(item->value), hybrid_type(item->hybrid_type), |
|
596 |
hybrid_field_type(item->hybrid_field_type), cmp_sign(item->cmp_sign), |
|
597 |
was_values(item->was_values) |
|
598 |
{
|
|
599 |
/* copy results from old value */
|
|
600 |
switch (hybrid_type) { |
|
601 |
case INT_RESULT: |
|
602 |
sum_int= item->sum_int; |
|
603 |
break; |
|
604 |
case DECIMAL_RESULT: |
|
605 |
my_decimal2decimal(&item->sum_dec, &sum_dec); |
|
606 |
break; |
|
607 |
case REAL_RESULT: |
|
608 |
sum= item->sum; |
|
609 |
break; |
|
610 |
case STRING_RESULT: |
|
611 |
/*
|
|
612 |
This can happen with ROLLUP. Note that the value is already
|
|
613 |
copied at function call.
|
|
614 |
*/
|
|
615 |
break; |
|
616 |
case ROW_RESULT: |
|
617 |
default: |
|
618 |
DBUG_ASSERT(0); |
|
619 |
}
|
|
620 |
collation.set(item->collation); |
|
621 |
}
|
|
622 |
||
623 |
bool
|
|
624 |
Item_sum_hybrid::fix_fields(THD *thd, Item **ref) |
|
625 |
{
|
|
626 |
DBUG_ASSERT(fixed == 0); |
|
627 |
||
628 |
Item *item= args[0]; |
|
629 |
||
630 |
if (init_sum_func_check(thd)) |
|
631 |
return TRUE; |
|
632 |
||
633 |
// 'item' can be changed during fix_fields
|
|
634 |
if ((!item->fixed && item->fix_fields(thd, args)) || |
|
635 |
(item= args[0])->check_cols(1)) |
|
636 |
return TRUE; |
|
637 |
decimals=item->decimals; |
|
638 |
||
639 |
switch (hybrid_type= item->result_type()) { |
|
640 |
case INT_RESULT: |
|
641 |
max_length= 20; |
|
642 |
sum_int= 0; |
|
643 |
break; |
|
644 |
case DECIMAL_RESULT: |
|
645 |
max_length= item->max_length; |
|
646 |
my_decimal_set_zero(&sum_dec); |
|
647 |
break; |
|
648 |
case REAL_RESULT: |
|
649 |
max_length= float_length(decimals); |
|
650 |
sum= 0.0; |
|
651 |
break; |
|
652 |
case STRING_RESULT: |
|
653 |
max_length= item->max_length; |
|
654 |
break; |
|
655 |
case ROW_RESULT: |
|
656 |
default: |
|
657 |
DBUG_ASSERT(0); |
|
658 |
};
|
|
659 |
/* MIN/MAX can return NULL for empty set indepedent of the used column */
|
|
660 |
maybe_null= 1; |
|
661 |
unsigned_flag=item->unsigned_flag; |
|
662 |
collation.set(item->collation); |
|
663 |
result_field=0; |
|
664 |
null_value=1; |
|
665 |
fix_length_and_dec(); |
|
666 |
item= item->real_item(); |
|
667 |
if (item->type() == Item::FIELD_ITEM) |
|
668 |
hybrid_field_type= ((Item_field*) item)->field->type(); |
|
669 |
else
|
|
670 |
hybrid_field_type= Item::field_type(); |
|
671 |
||
672 |
if (check_sum_func(thd, ref)) |
|
673 |
return TRUE; |
|
674 |
||
675 |
fixed= 1; |
|
676 |
return FALSE; |
|
677 |
}
|
|
678 |
||
679 |
Field *Item_sum_hybrid::create_tmp_field(bool group, TABLE *table, |
|
680 |
uint convert_blob_length) |
|
681 |
{
|
|
682 |
Field *field; |
|
683 |
if (args[0]->type() == Item::FIELD_ITEM) |
|
684 |
{
|
|
685 |
field= ((Item_field*) args[0])->field; |
|
686 |
||
687 |
if ((field= create_tmp_field_from_field(current_thd, field, name, table, |
|
688 |
NULL, convert_blob_length))) |
|
689 |
field->flags&= ~NOT_NULL_FLAG; |
|
690 |
return field; |
|
691 |
}
|
|
692 |
/*
|
|
693 |
DATE/TIME fields have STRING_RESULT result types.
|
|
694 |
In order to preserve field type, it's needed to handle DATE/TIME
|
|
695 |
fields creations separately.
|
|
696 |
*/
|
|
697 |
switch (args[0]->field_type()) { |
|
698 |
case MYSQL_TYPE_DATE: |
|
699 |
field= new Field_newdate(maybe_null, name, collation.collation); |
|
700 |
break; |
|
701 |
case MYSQL_TYPE_TIME: |
|
702 |
field= new Field_time(maybe_null, name, collation.collation); |
|
703 |
break; |
|
704 |
case MYSQL_TYPE_TIMESTAMP: |
|
705 |
case MYSQL_TYPE_DATETIME: |
|
706 |
field= new Field_datetime(maybe_null, name, collation.collation); |
|
707 |
break; |
|
708 |
default: |
|
709 |
return Item_sum::create_tmp_field(group, table, convert_blob_length); |
|
710 |
}
|
|
711 |
if (field) |
|
712 |
field->init(table); |
|
713 |
return field; |
|
714 |
}
|
|
715 |
||
716 |
||
717 |
/***********************************************************************
|
|
718 |
** reset and add of sum_func
|
|
719 |
***********************************************************************/
|
|
720 |
||
721 |
/**
|
|
722 |
@todo
|
|
723 |
check if the following assignments are really needed
|
|
724 |
*/
|
|
725 |
Item_sum_sum::Item_sum_sum(THD *thd, Item_sum_sum *item) |
|
726 |
:Item_sum_num(thd, item), hybrid_type(item->hybrid_type), |
|
727 |
curr_dec_buff(item->curr_dec_buff) |
|
728 |
{
|
|
729 |
/* TODO: check if the following assignments are really needed */
|
|
730 |
if (hybrid_type == DECIMAL_RESULT) |
|
731 |
{
|
|
732 |
my_decimal2decimal(item->dec_buffs, dec_buffs); |
|
733 |
my_decimal2decimal(item->dec_buffs + 1, dec_buffs + 1); |
|
734 |
}
|
|
735 |
else
|
|
736 |
sum= item->sum; |
|
737 |
}
|
|
738 |
||
739 |
Item *Item_sum_sum::copy_or_same(THD* thd) |
|
740 |
{
|
|
741 |
return new (thd->mem_root) Item_sum_sum(thd, this); |
|
742 |
}
|
|
743 |
||
744 |
||
745 |
void Item_sum_sum::clear() |
|
746 |
{
|
|
747 |
DBUG_ENTER("Item_sum_sum::clear"); |
|
748 |
null_value=1; |
|
749 |
if (hybrid_type == DECIMAL_RESULT) |
|
750 |
{
|
|
751 |
curr_dec_buff= 0; |
|
752 |
my_decimal_set_zero(dec_buffs); |
|
753 |
}
|
|
754 |
else
|
|
755 |
sum= 0.0; |
|
756 |
DBUG_VOID_RETURN; |
|
757 |
}
|
|
758 |
||
759 |
||
760 |
void Item_sum_sum::fix_length_and_dec() |
|
761 |
{
|
|
762 |
DBUG_ENTER("Item_sum_sum::fix_length_and_dec"); |
|
763 |
maybe_null=null_value=1; |
|
764 |
decimals= args[0]->decimals; |
|
765 |
switch (args[0]->result_type()) { |
|
766 |
case REAL_RESULT: |
|
767 |
case STRING_RESULT: |
|
768 |
hybrid_type= REAL_RESULT; |
|
769 |
sum= 0.0; |
|
770 |
break; |
|
771 |
case INT_RESULT: |
|
772 |
case DECIMAL_RESULT: |
|
773 |
{
|
|
774 |
/* SUM result can't be longer than length(arg) + length(MAX_ROWS) */
|
|
775 |
int precision= args[0]->decimal_precision() + DECIMAL_LONGLONG_DIGITS; |
|
776 |
max_length= my_decimal_precision_to_length(precision, decimals, |
|
777 |
unsigned_flag); |
|
778 |
curr_dec_buff= 0; |
|
779 |
hybrid_type= DECIMAL_RESULT; |
|
780 |
my_decimal_set_zero(dec_buffs); |
|
781 |
break; |
|
782 |
}
|
|
783 |
case ROW_RESULT: |
|
784 |
default: |
|
785 |
DBUG_ASSERT(0); |
|
786 |
}
|
|
787 |
DBUG_PRINT("info", ("Type: %s (%d, %d)", |
|
788 |
(hybrid_type == REAL_RESULT ? "REAL_RESULT" : |
|
789 |
hybrid_type == DECIMAL_RESULT ? "DECIMAL_RESULT" : |
|
790 |
hybrid_type == INT_RESULT ? "INT_RESULT" : |
|
791 |
"--ILLEGAL!!!--"), |
|
792 |
max_length, |
|
793 |
(int)decimals)); |
|
794 |
DBUG_VOID_RETURN; |
|
795 |
}
|
|
796 |
||
797 |
||
798 |
bool Item_sum_sum::add() |
|
799 |
{
|
|
800 |
DBUG_ENTER("Item_sum_sum::add"); |
|
801 |
if (hybrid_type == DECIMAL_RESULT) |
|
802 |
{
|
|
803 |
my_decimal value, *val= args[0]->val_decimal(&value); |
|
804 |
if (!args[0]->null_value) |
|
805 |
{
|
|
806 |
my_decimal_add(E_DEC_FATAL_ERROR, dec_buffs + (curr_dec_buff^1), |
|
807 |
val, dec_buffs + curr_dec_buff); |
|
808 |
curr_dec_buff^= 1; |
|
809 |
null_value= 0; |
|
810 |
}
|
|
811 |
}
|
|
812 |
else
|
|
813 |
{
|
|
814 |
sum+= args[0]->val_real(); |
|
815 |
if (!args[0]->null_value) |
|
816 |
null_value= 0; |
|
817 |
}
|
|
818 |
DBUG_RETURN(0); |
|
819 |
}
|
|
820 |
||
821 |
||
822 |
longlong Item_sum_sum::val_int() |
|
823 |
{
|
|
824 |
DBUG_ASSERT(fixed == 1); |
|
825 |
if (hybrid_type == DECIMAL_RESULT) |
|
826 |
{
|
|
827 |
longlong result; |
|
828 |
my_decimal2int(E_DEC_FATAL_ERROR, dec_buffs + curr_dec_buff, unsigned_flag, |
|
829 |
&result); |
|
830 |
return result; |
|
831 |
}
|
|
832 |
return (longlong) rint(val_real()); |
|
833 |
}
|
|
834 |
||
835 |
||
836 |
double Item_sum_sum::val_real() |
|
837 |
{
|
|
838 |
DBUG_ASSERT(fixed == 1); |
|
839 |
if (hybrid_type == DECIMAL_RESULT) |
|
840 |
my_decimal2double(E_DEC_FATAL_ERROR, dec_buffs + curr_dec_buff, &sum); |
|
841 |
return sum; |
|
842 |
}
|
|
843 |
||
844 |
||
845 |
String *Item_sum_sum::val_str(String *str) |
|
846 |
{
|
|
847 |
if (hybrid_type == DECIMAL_RESULT) |
|
848 |
return val_string_from_decimal(str); |
|
849 |
return val_string_from_real(str); |
|
850 |
}
|
|
851 |
||
852 |
||
853 |
my_decimal *Item_sum_sum::val_decimal(my_decimal *val) |
|
854 |
{
|
|
855 |
if (hybrid_type == DECIMAL_RESULT) |
|
856 |
return (dec_buffs + curr_dec_buff); |
|
857 |
return val_decimal_from_real(val); |
|
858 |
}
|
|
859 |
||
860 |
/***************************************************************************/
|
|
861 |
||
862 |
C_MODE_START
|
|
863 |
||
864 |
/* Declarations for auxilary C-callbacks */
|
|
865 |
||
866 |
static int simple_raw_key_cmp(void* arg, const void* key1, const void* key2) |
|
867 |
{
|
|
868 |
return memcmp(key1, key2, *(uint *) arg); |
|
869 |
}
|
|
870 |
||
871 |
||
872 |
static int item_sum_distinct_walk(void *element, element_count num_of_dups, |
|
873 |
void *item) |
|
874 |
{
|
|
875 |
return ((Item_sum_distinct*) (item))->unique_walk_function(element); |
|
876 |
}
|
|
877 |
||
878 |
C_MODE_END
|
|
879 |
||
880 |
/* Item_sum_distinct */
|
|
881 |
||
882 |
Item_sum_distinct::Item_sum_distinct(Item *item_arg) |
|
883 |
:Item_sum_num(item_arg), tree(0) |
|
884 |
{
|
|
885 |
/*
|
|
886 |
quick_group is an optimizer hint, which means that GROUP BY can be
|
|
887 |
handled with help of index on grouped columns.
|
|
888 |
By setting quick_group to zero we force creation of temporary table
|
|
889 |
to perform GROUP BY.
|
|
890 |
*/
|
|
891 |
quick_group= 0; |
|
892 |
}
|
|
893 |
||
894 |
||
895 |
Item_sum_distinct::Item_sum_distinct(THD *thd, Item_sum_distinct *original) |
|
896 |
:Item_sum_num(thd, original), val(original->val), tree(0), |
|
897 |
table_field_type(original->table_field_type) |
|
898 |
{
|
|
899 |
quick_group= 0; |
|
900 |
}
|
|
901 |
||
902 |
||
903 |
/**
|
|
904 |
Behaves like an Integer except to fix_length_and_dec().
|
|
905 |
Additionally div() converts val with this traits to a val with true
|
|
906 |
decimal traits along with conversion of integer value to decimal value.
|
|
907 |
This is to speedup SUM/AVG(DISTINCT) evaluation for 8-32 bit integer
|
|
908 |
values.
|
|
909 |
*/
|
|
910 |
struct Hybrid_type_traits_fast_decimal: public |
|
911 |
Hybrid_type_traits_integer
|
|
912 |
{
|
|
913 |
virtual Item_result type() const { return DECIMAL_RESULT; } |
|
914 |
virtual void fix_length_and_dec(Item *item, Item *arg) const |
|
915 |
{ Hybrid_type_traits_decimal::instance()->fix_length_and_dec(item, arg); } |
|
916 |
||
917 |
virtual void div(Hybrid_type *val, ulonglong u) const |
|
918 |
{
|
|
919 |
int2my_decimal(E_DEC_FATAL_ERROR, val->integer, 0, val->dec_buf); |
|
920 |
val->used_dec_buf_no= 0; |
|
921 |
val->traits= Hybrid_type_traits_decimal::instance(); |
|
922 |
val->traits->div(val, u); |
|
923 |
}
|
|
924 |
static const Hybrid_type_traits_fast_decimal *instance(); |
|
925 |
Hybrid_type_traits_fast_decimal() {}; |
|
926 |
};
|
|
927 |
||
928 |
static const Hybrid_type_traits_fast_decimal fast_decimal_traits_instance; |
|
929 |
||
930 |
const Hybrid_type_traits_fast_decimal |
|
931 |
*Hybrid_type_traits_fast_decimal::instance() |
|
932 |
{
|
|
933 |
return &fast_decimal_traits_instance; |
|
934 |
}
|
|
935 |
||
936 |
void Item_sum_distinct::fix_length_and_dec() |
|
937 |
{
|
|
938 |
DBUG_ASSERT(args[0]->fixed); |
|
939 |
||
940 |
table_field_type= args[0]->field_type(); |
|
941 |
||
942 |
/* Adjust tmp table type according to the chosen aggregation type */
|
|
943 |
switch (args[0]->result_type()) { |
|
944 |
case STRING_RESULT: |
|
945 |
case REAL_RESULT: |
|
946 |
val.traits= Hybrid_type_traits::instance(); |
|
947 |
if (table_field_type != MYSQL_TYPE_FLOAT) |
|
948 |
table_field_type= MYSQL_TYPE_DOUBLE; |
|
949 |
break; |
|
950 |
case INT_RESULT: |
|
951 |
/*
|
|
952 |
Preserving int8, int16, int32 field types gives ~10% performance boost
|
|
953 |
as the size of result tree becomes significantly smaller.
|
|
954 |
Another speed up we gain by using longlong for intermediate
|
|
955 |
calculations. The range of int64 is enough to hold sum 2^32 distinct
|
|
956 |
integers each <= 2^32.
|
|
957 |
*/
|
|
958 |
if (table_field_type == MYSQL_TYPE_INT24 || |
|
959 |
(table_field_type >= MYSQL_TYPE_TINY && table_field_type <= MYSQL_TYPE_LONG)) |
|
960 |
{
|
|
961 |
val.traits= Hybrid_type_traits_fast_decimal::instance(); |
|
962 |
break; |
|
963 |
}
|
|
964 |
table_field_type= MYSQL_TYPE_LONGLONG; |
|
965 |
/* fallthrough */
|
|
966 |
case DECIMAL_RESULT: |
|
967 |
val.traits= Hybrid_type_traits_decimal::instance(); |
|
968 |
if (table_field_type != MYSQL_TYPE_LONGLONG) |
|
969 |
table_field_type= MYSQL_TYPE_NEWDECIMAL; |
|
970 |
break; |
|
971 |
case ROW_RESULT: |
|
972 |
default: |
|
973 |
DBUG_ASSERT(0); |
|
974 |
}
|
|
975 |
val.traits->fix_length_and_dec(this, args[0]); |
|
976 |
}
|
|
977 |
||
978 |
||
979 |
/**
|
|
980 |
@todo
|
|
981 |
check that the case of CHAR(0) works OK
|
|
982 |
*/
|
|
983 |
bool Item_sum_distinct::setup(THD *thd) |
|
984 |
{
|
|
985 |
List<Create_field> field_list; |
|
986 |
Create_field field_def; /* field definition */ |
|
987 |
DBUG_ENTER("Item_sum_distinct::setup"); |
|
988 |
/* It's legal to call setup() more than once when in a subquery */
|
|
989 |
if (tree) |
|
990 |
DBUG_RETURN(FALSE); |
|
991 |
||
992 |
/*
|
|
993 |
Virtual table and the tree are created anew on each re-execution of
|
|
994 |
PS/SP. Hence all further allocations are performed in the runtime
|
|
995 |
mem_root.
|
|
996 |
*/
|
|
997 |
if (field_list.push_back(&field_def)) |
|
998 |
DBUG_RETURN(TRUE); |
|
999 |
||
1000 |
null_value= maybe_null= 1; |
|
1001 |
quick_group= 0; |
|
1002 |
||
1003 |
DBUG_ASSERT(args[0]->fixed); |
|
1004 |
||
1005 |
field_def.init_for_tmp_table(table_field_type, args[0]->max_length, |
|
1006 |
args[0]->decimals, args[0]->maybe_null, |
|
1007 |
args[0]->unsigned_flag); |
|
1008 |
||
1009 |
if (! (table= create_virtual_tmp_table(thd, field_list))) |
|
1010 |
DBUG_RETURN(TRUE); |
|
1011 |
||
1012 |
/* XXX: check that the case of CHAR(0) works OK */
|
|
1013 |
tree_key_length= table->s->reclength - table->s->null_bytes; |
|
1014 |
||
1015 |
/*
|
|
1016 |
Unique handles all unique elements in a tree until they can't fit
|
|
1017 |
in. Then the tree is dumped to the temporary file. We can use
|
|
1018 |
simple_raw_key_cmp because the table contains numbers only; decimals
|
|
1019 |
are converted to binary representation as well.
|
|
1020 |
*/
|
|
1021 |
tree= new Unique(simple_raw_key_cmp, &tree_key_length, tree_key_length, |
|
1022 |
thd->variables.max_heap_table_size); |
|
1023 |
||
1024 |
is_evaluated= FALSE; |
|
1025 |
DBUG_RETURN(tree == 0); |
|
1026 |
}
|
|
1027 |
||
1028 |
||
1029 |
bool Item_sum_distinct::add() |
|
1030 |
{
|
|
1031 |
args[0]->save_in_field(table->field[0], FALSE); |
|
1032 |
is_evaluated= FALSE; |
|
1033 |
if (!table->field[0]->is_null()) |
|
1034 |
{
|
|
1035 |
DBUG_ASSERT(tree); |
|
1036 |
null_value= 0; |
|
1037 |
/*
|
|
1038 |
'0' values are also stored in the tree. This doesn't matter
|
|
1039 |
for SUM(DISTINCT), but is important for AVG(DISTINCT)
|
|
1040 |
*/
|
|
1041 |
return tree->unique_add(table->field[0]->ptr); |
|
1042 |
}
|
|
1043 |
return 0; |
|
1044 |
}
|
|
1045 |
||
1046 |
||
1047 |
bool Item_sum_distinct::unique_walk_function(void *element) |
|
1048 |
{
|
|
1049 |
memcpy(table->field[0]->ptr, element, tree_key_length); |
|
1050 |
++count; |
|
1051 |
val.traits->add(&val, table->field[0]); |
|
1052 |
return 0; |
|
1053 |
}
|
|
1054 |
||
1055 |
||
1056 |
void Item_sum_distinct::clear() |
|
1057 |
{
|
|
1058 |
DBUG_ENTER("Item_sum_distinct::clear"); |
|
1059 |
DBUG_ASSERT(tree != 0); /* we always have a tree */ |
|
1060 |
null_value= 1; |
|
1061 |
tree->reset(); |
|
1062 |
is_evaluated= FALSE; |
|
1063 |
DBUG_VOID_RETURN; |
|
1064 |
}
|
|
1065 |
||
1066 |
void Item_sum_distinct::cleanup() |
|
1067 |
{
|
|
1068 |
Item_sum_num::cleanup(); |
|
1069 |
delete tree; |
|
1070 |
tree= 0; |
|
1071 |
table= 0; |
|
1072 |
is_evaluated= FALSE; |
|
1073 |
}
|
|
1074 |
||
1075 |
Item_sum_distinct::~Item_sum_distinct() |
|
1076 |
{
|
|
1077 |
delete tree; |
|
1078 |
/* no need to free the table */
|
|
1079 |
}
|
|
1080 |
||
1081 |
||
1082 |
void Item_sum_distinct::calculate_val_and_count() |
|
1083 |
{
|
|
1084 |
if (!is_evaluated) |
|
1085 |
{
|
|
1086 |
count= 0; |
|
1087 |
val.traits->set_zero(&val); |
|
1088 |
/*
|
|
1089 |
We don't have a tree only if 'setup()' hasn't been called;
|
|
1090 |
this is the case of sql_select.cc:return_zero_rows.
|
|
1091 |
*/
|
|
1092 |
if (tree) |
|
1093 |
{
|
|
1094 |
table->field[0]->set_notnull(); |
|
1095 |
tree->walk(item_sum_distinct_walk, (void*) this); |
|
1096 |
}
|
|
1097 |
is_evaluated= TRUE; |
|
1098 |
}
|
|
1099 |
}
|
|
1100 |
||
1101 |
||
1102 |
double Item_sum_distinct::val_real() |
|
1103 |
{
|
|
1104 |
calculate_val_and_count(); |
|
1105 |
return val.traits->val_real(&val); |
|
1106 |
}
|
|
1107 |
||
1108 |
||
1109 |
my_decimal *Item_sum_distinct::val_decimal(my_decimal *to) |
|
1110 |
{
|
|
1111 |
calculate_val_and_count(); |
|
1112 |
if (null_value) |
|
1113 |
return 0; |
|
1114 |
return val.traits->val_decimal(&val, to); |
|
1115 |
}
|
|
1116 |
||
1117 |
||
1118 |
longlong Item_sum_distinct::val_int() |
|
1119 |
{
|
|
1120 |
calculate_val_and_count(); |
|
1121 |
return val.traits->val_int(&val, unsigned_flag); |
|
1122 |
}
|
|
1123 |
||
1124 |
||
1125 |
String *Item_sum_distinct::val_str(String *str) |
|
1126 |
{
|
|
1127 |
calculate_val_and_count(); |
|
1128 |
if (null_value) |
|
1129 |
return 0; |
|
1130 |
return val.traits->val_str(&val, str, decimals); |
|
1131 |
}
|
|
1132 |
||
1133 |
/* end of Item_sum_distinct */
|
|
1134 |
||
1135 |
/* Item_sum_avg_distinct */
|
|
1136 |
||
1137 |
void
|
|
1138 |
Item_sum_avg_distinct::fix_length_and_dec() |
|
1139 |
{
|
|
1140 |
Item_sum_distinct::fix_length_and_dec(); |
|
1141 |
prec_increment= current_thd->variables.div_precincrement; |
|
1142 |
/*
|
|
1143 |
AVG() will divide val by count. We need to reserve digits
|
|
1144 |
after decimal point as the result can be fractional.
|
|
1145 |
*/
|
|
1146 |
decimals= min(decimals + prec_increment, NOT_FIXED_DEC); |
|
1147 |
}
|
|
1148 |
||
1149 |
||
1150 |
void
|
|
1151 |
Item_sum_avg_distinct::calculate_val_and_count() |
|
1152 |
{
|
|
1153 |
if (!is_evaluated) |
|
1154 |
{
|
|
1155 |
Item_sum_distinct::calculate_val_and_count(); |
|
1156 |
if (count) |
|
1157 |
val.traits->div(&val, count); |
|
1158 |
is_evaluated= TRUE; |
|
1159 |
}
|
|
1160 |
}
|
|
1161 |
||
1162 |
||
1163 |
Item *Item_sum_count::copy_or_same(THD* thd) |
|
1164 |
{
|
|
1165 |
return new (thd->mem_root) Item_sum_count(thd, this); |
|
1166 |
}
|
|
1167 |
||
1168 |
||
1169 |
void Item_sum_count::clear() |
|
1170 |
{
|
|
1171 |
count= 0; |
|
1172 |
}
|
|
1173 |
||
1174 |
||
1175 |
bool Item_sum_count::add() |
|
1176 |
{
|
|
1177 |
if (!args[0]->maybe_null || !args[0]->is_null()) |
|
1178 |
count++; |
|
1179 |
return 0; |
|
1180 |
}
|
|
1181 |
||
1182 |
longlong Item_sum_count::val_int() |
|
1183 |
{
|
|
1184 |
DBUG_ASSERT(fixed == 1); |
|
1185 |
return (longlong) count; |
|
1186 |
}
|
|
1187 |
||
1188 |
||
1189 |
void Item_sum_count::cleanup() |
|
1190 |
{
|
|
1191 |
DBUG_ENTER("Item_sum_count::cleanup"); |
|
1192 |
count= 0; |
|
1193 |
Item_sum_int::cleanup(); |
|
1194 |
DBUG_VOID_RETURN; |
|
1195 |
}
|
|
1196 |
||
1197 |
||
1198 |
/*
|
|
1199 |
Avgerage
|
|
1200 |
*/
|
|
1201 |
void Item_sum_avg::fix_length_and_dec() |
|
1202 |
{
|
|
1203 |
Item_sum_sum::fix_length_and_dec(); |
|
1204 |
maybe_null=null_value=1; |
|
1205 |
prec_increment= current_thd->variables.div_precincrement; |
|
1206 |
if (hybrid_type == DECIMAL_RESULT) |
|
1207 |
{
|
|
1208 |
int precision= args[0]->decimal_precision() + prec_increment; |
|
1209 |
decimals= min(args[0]->decimals + prec_increment, DECIMAL_MAX_SCALE); |
|
1210 |
max_length= my_decimal_precision_to_length(precision, decimals, |
|
1211 |
unsigned_flag); |
|
1212 |
f_precision= min(precision+DECIMAL_LONGLONG_DIGITS, DECIMAL_MAX_PRECISION); |
|
1213 |
f_scale= args[0]->decimals; |
|
1214 |
dec_bin_size= my_decimal_get_binary_size(f_precision, f_scale); |
|
1215 |
}
|
|
1216 |
else { |
|
1217 |
decimals= min(args[0]->decimals + prec_increment, NOT_FIXED_DEC); |
|
1218 |
max_length= args[0]->max_length + prec_increment; |
|
1219 |
}
|
|
1220 |
}
|
|
1221 |
||
1222 |
||
1223 |
Item *Item_sum_avg::copy_or_same(THD* thd) |
|
1224 |
{
|
|
1225 |
return new (thd->mem_root) Item_sum_avg(thd, this); |
|
1226 |
}
|
|
1227 |
||
1228 |
||
1229 |
Field *Item_sum_avg::create_tmp_field(bool group, TABLE *table, |
|
1230 |
uint convert_blob_len) |
|
1231 |
{
|
|
1232 |
Field *field; |
|
1233 |
if (group) |
|
1234 |
{
|
|
1235 |
/*
|
|
1236 |
We must store both value and counter in the temporary table in one field.
|
|
1237 |
The easiest way is to do this is to store both value in a string
|
|
1238 |
and unpack on access.
|
|
1239 |
*/
|
|
1240 |
field= new Field_string(((hybrid_type == DECIMAL_RESULT) ? |
|
1241 |
dec_bin_size : sizeof(double)) + sizeof(longlong), |
|
1242 |
0, name, &my_charset_bin); |
|
1243 |
}
|
|
1244 |
else if (hybrid_type == DECIMAL_RESULT) |
|
1245 |
field= new Field_new_decimal(max_length, maybe_null, name, |
|
1246 |
decimals, unsigned_flag); |
|
1247 |
else
|
|
1248 |
field= new Field_double(max_length, maybe_null, name, decimals, TRUE); |
|
1249 |
if (field) |
|
1250 |
field->init(table); |
|
1251 |
return field; |
|
1252 |
}
|
|
1253 |
||
1254 |
||
1255 |
void Item_sum_avg::clear() |
|
1256 |
{
|
|
1257 |
Item_sum_sum::clear(); |
|
1258 |
count=0; |
|
1259 |
}
|
|
1260 |
||
1261 |
||
1262 |
bool Item_sum_avg::add() |
|
1263 |
{
|
|
1264 |
if (Item_sum_sum::add()) |
|
1265 |
return TRUE; |
|
1266 |
if (!args[0]->null_value) |
|
1267 |
count++; |
|
1268 |
return FALSE; |
|
1269 |
}
|
|
1270 |
||
1271 |
double Item_sum_avg::val_real() |
|
1272 |
{
|
|
1273 |
DBUG_ASSERT(fixed == 1); |
|
1274 |
if (!count) |
|
1275 |
{
|
|
1276 |
null_value=1; |
|
1277 |
return 0.0; |
|
1278 |
}
|
|
1279 |
return Item_sum_sum::val_real() / ulonglong2double(count); |
|
1280 |
}
|
|
1281 |
||
1282 |
||
1283 |
my_decimal *Item_sum_avg::val_decimal(my_decimal *val) |
|
1284 |
{
|
|
1285 |
my_decimal sum_buff, cnt; |
|
1286 |
const my_decimal *sum_dec; |
|
1287 |
DBUG_ASSERT(fixed == 1); |
|
1288 |
if (!count) |
|
1289 |
{
|
|
1290 |
null_value=1; |
|
1291 |
return NULL; |
|
1292 |
}
|
|
1293 |
||
1294 |
/*
|
|
1295 |
For non-DECIMAL hybrid_type the division will be done in
|
|
1296 |
Item_sum_avg::val_real().
|
|
1297 |
*/
|
|
1298 |
if (hybrid_type != DECIMAL_RESULT) |
|
1299 |
return val_decimal_from_real(val); |
|
1300 |
||
1301 |
sum_dec= dec_buffs + curr_dec_buff; |
|
1302 |
int2my_decimal(E_DEC_FATAL_ERROR, count, 0, &cnt); |
|
1303 |
my_decimal_div(E_DEC_FATAL_ERROR, val, sum_dec, &cnt, prec_increment); |
|
1304 |
return val; |
|
1305 |
}
|
|
1306 |
||
1307 |
||
1308 |
String *Item_sum_avg::val_str(String *str) |
|
1309 |
{
|
|
1310 |
if (hybrid_type == DECIMAL_RESULT) |
|
1311 |
return val_string_from_decimal(str); |
|
1312 |
return val_string_from_real(str); |
|
1313 |
}
|
|
1314 |
||
1315 |
||
1316 |
/*
|
|
1317 |
Standard deviation
|
|
1318 |
*/
|
|
1319 |
||
1320 |
double Item_sum_std::val_real() |
|
1321 |
{
|
|
1322 |
DBUG_ASSERT(fixed == 1); |
|
1323 |
double nr= Item_sum_variance::val_real(); |
|
1324 |
DBUG_ASSERT(nr >= 0.0); |
|
1325 |
return sqrt(nr); |
|
1326 |
}
|
|
1327 |
||
1328 |
Item *Item_sum_std::copy_or_same(THD* thd) |
|
1329 |
{
|
|
1330 |
return new (thd->mem_root) Item_sum_std(thd, this); |
|
1331 |
}
|
|
1332 |
||
1333 |
||
1334 |
/*
|
|
1335 |
Variance
|
|
1336 |
*/
|
|
1337 |
||
1338 |
||
1339 |
/**
|
|
1340 |
Variance implementation for floating-point implementations, without
|
|
1341 |
catastrophic cancellation, from Knuth's _TAoCP_, 3rd ed, volume 2, pg232.
|
|
1342 |
This alters the value at m, s, and increments count.
|
|
1343 |
*/
|
|
1344 |
||
1345 |
/*
|
|
1346 |
These two functions are used by the Item_sum_variance and the
|
|
1347 |
Item_variance_field classes, which are unrelated, and each need to calculate
|
|
1348 |
variance. The difference between the two classes is that the first is used
|
|
1349 |
for a mundane SELECT, while the latter is used in a GROUPing SELECT.
|
|
1350 |
*/
|
|
1351 |
static void variance_fp_recurrence_next(double *m, double *s, ulonglong *count, double nr) |
|
1352 |
{
|
|
1353 |
*count += 1; |
|
1354 |
||
1355 |
if (*count == 1) |
|
1356 |
{
|
|
1357 |
*m= nr; |
|
1358 |
*s= 0; |
|
1359 |
}
|
|
1360 |
else
|
|
1361 |
{
|
|
1362 |
double m_kminusone= *m; |
|
1363 |
*m= m_kminusone + (nr - m_kminusone) / (double) *count; |
|
1364 |
*s= *s + (nr - m_kminusone) * (nr - *m); |
|
1365 |
}
|
|
1366 |
}
|
|
1367 |
||
1368 |
||
1369 |
static double variance_fp_recurrence_result(double s, ulonglong count, bool is_sample_variance) |
|
1370 |
{
|
|
1371 |
if (count == 1) |
|
1372 |
return 0.0; |
|
1373 |
||
1374 |
if (is_sample_variance) |
|
1375 |
return s / (count - 1); |
|
1376 |
||
1377 |
/* else, is a population variance */
|
|
1378 |
return s / count; |
|
1379 |
}
|
|
1380 |
||
1381 |
||
1382 |
Item_sum_variance::Item_sum_variance(THD *thd, Item_sum_variance *item): |
|
1383 |
Item_sum_num(thd, item), hybrid_type(item->hybrid_type), |
|
1384 |
count(item->count), sample(item->sample), |
|
1385 |
prec_increment(item->prec_increment) |
|
1386 |
{
|
|
1387 |
recurrence_m= item->recurrence_m; |
|
1388 |
recurrence_s= item->recurrence_s; |
|
1389 |
}
|
|
1390 |
||
1391 |
||
1392 |
void Item_sum_variance::fix_length_and_dec() |
|
1393 |
{
|
|
1394 |
DBUG_ENTER("Item_sum_variance::fix_length_and_dec"); |
|
1395 |
maybe_null= null_value= 1; |
|
1396 |
prec_increment= current_thd->variables.div_precincrement; |
|
1397 |
||
1398 |
/*
|
|
1399 |
According to the SQL2003 standard (Part 2, Foundations; sec 10.9,
|
|
1400 |
aggregate function; paragraph 7h of Syntax Rules), "the declared
|
|
1401 |
type of the result is an implementation-defined aproximate numeric
|
|
1402 |
type.
|
|
1403 |
*/
|
|
1404 |
hybrid_type= REAL_RESULT; |
|
1405 |
||
1406 |
switch (args[0]->result_type()) { |
|
1407 |
case REAL_RESULT: |
|
1408 |
case STRING_RESULT: |
|
1409 |
decimals= min(args[0]->decimals + 4, NOT_FIXED_DEC); |
|
1410 |
break; |
|
1411 |
case INT_RESULT: |
|
1412 |
case DECIMAL_RESULT: |
|
1413 |
{
|
|
1414 |
int precision= args[0]->decimal_precision()*2 + prec_increment; |
|
1415 |
decimals= min(args[0]->decimals + prec_increment, DECIMAL_MAX_SCALE); |
|
1416 |
max_length= my_decimal_precision_to_length(precision, decimals, |
|
1417 |
unsigned_flag); |
|
1418 |
||
1419 |
break; |
|
1420 |
}
|
|
1421 |
case ROW_RESULT: |
|
1422 |
default: |
|
1423 |
DBUG_ASSERT(0); |
|
1424 |
}
|
|
1425 |
DBUG_PRINT("info", ("Type: REAL_RESULT (%d, %d)", max_length, (int)decimals)); |
|
1426 |
DBUG_VOID_RETURN; |
|
1427 |
}
|
|
1428 |
||
1429 |
||
1430 |
Item *Item_sum_variance::copy_or_same(THD* thd) |
|
1431 |
{
|
|
1432 |
return new (thd->mem_root) Item_sum_variance(thd, this); |
|
1433 |
}
|
|
1434 |
||
1435 |
||
1436 |
/**
|
|
1437 |
Create a new field to match the type of value we're expected to yield.
|
|
1438 |
If we're grouping, then we need some space to serialize variables into, to
|
|
1439 |
pass around.
|
|
1440 |
*/
|
|
1441 |
Field *Item_sum_variance::create_tmp_field(bool group, TABLE *table, |
|
1442 |
uint convert_blob_len) |
|
1443 |
{
|
|
1444 |
Field *field; |
|
1445 |
if (group) |
|
1446 |
{
|
|
1447 |
/*
|
|
1448 |
We must store both value and counter in the temporary table in one field.
|
|
1449 |
The easiest way is to do this is to store both value in a string
|
|
1450 |
and unpack on access.
|
|
1451 |
*/
|
|
1452 |
field= new Field_string(sizeof(double)*2 + sizeof(longlong), 0, name, &my_charset_bin); |
|
1453 |
}
|
|
1454 |
else
|
|
1455 |
field= new Field_double(max_length, maybe_null, name, decimals, TRUE); |
|
1456 |
||
1457 |
if (field != NULL) |
|
1458 |
field->init(table); |
|
1459 |
||
1460 |
return field; |
|
1461 |
}
|
|
1462 |
||
1463 |
||
1464 |
void Item_sum_variance::clear() |
|
1465 |
{
|
|
1466 |
count= 0; |
|
1467 |
}
|
|
1468 |
||
1469 |
bool Item_sum_variance::add() |
|
1470 |
{
|
|
1471 |
/*
|
|
1472 |
Why use a temporary variable? We don't know if it is null until we
|
|
1473 |
evaluate it, which has the side-effect of setting null_value .
|
|
1474 |
*/
|
|
1475 |
double nr= args[0]->val_real(); |
|
1476 |
||
1477 |
if (!args[0]->null_value) |
|
1478 |
variance_fp_recurrence_next(&recurrence_m, &recurrence_s, &count, nr); |
|
1479 |
return 0; |
|
1480 |
}
|
|
1481 |
||
1482 |
double Item_sum_variance::val_real() |
|
1483 |
{
|
|
1484 |
DBUG_ASSERT(fixed == 1); |
|
1485 |
||
1486 |
/*
|
|
1487 |
'sample' is a 1/0 boolean value. If it is 1/true, id est this is a sample
|
|
1488 |
variance call, then we should set nullness when the count of the items
|
|
1489 |
is one or zero. If it's zero, i.e. a population variance, then we only
|
|
1490 |
set nullness when the count is zero.
|
|
1491 |
||
1492 |
Another way to read it is that 'sample' is the numerical threshhold, at and
|
|
1493 |
below which a 'count' number of items is called NULL.
|
|
1494 |
*/
|
|
1495 |
DBUG_ASSERT((sample == 0) || (sample == 1)); |
|
1496 |
if (count <= sample) |
|
1497 |
{
|
|
1498 |
null_value=1; |
|
1499 |
return 0.0; |
|
1500 |
}
|
|
1501 |
||
1502 |
null_value=0; |
|
1503 |
return variance_fp_recurrence_result(recurrence_s, count, sample); |
|
1504 |
}
|
|
1505 |
||
1506 |
||
1507 |
my_decimal *Item_sum_variance::val_decimal(my_decimal *dec_buf) |
|
1508 |
{
|
|
1509 |
DBUG_ASSERT(fixed == 1); |
|
1510 |
return val_decimal_from_real(dec_buf); |
|
1511 |
}
|
|
1512 |
||
1513 |
||
1514 |
void Item_sum_variance::reset_field() |
|
1515 |
{
|
|
1516 |
double nr; |
|
1517 |
uchar *res= result_field->ptr; |
|
1518 |
||
1519 |
nr= args[0]->val_real(); /* sets null_value as side-effect */ |
|
1520 |
||
1521 |
if (args[0]->null_value) |
|
1522 |
bzero(res,sizeof(double)*2+sizeof(longlong)); |
|
1523 |
else
|
|
1524 |
{
|
|
1525 |
/* Serialize format is (double)m, (double)s, (longlong)count */
|
|
1526 |
ulonglong tmp_count; |
|
1527 |
double tmp_s; |
|
1528 |
float8store(res, nr); /* recurrence variable m */ |
|
1529 |
tmp_s= 0.0; |
|
1530 |
float8store(res + sizeof(double), tmp_s); |
|
1531 |
tmp_count= 1; |
|
1532 |
int8store(res + sizeof(double)*2, tmp_count); |
|
1533 |
}
|
|
1534 |
}
|
|
1535 |
||
1536 |
||
1537 |
void Item_sum_variance::update_field() |
|
1538 |
{
|
|
1539 |
ulonglong field_count; |
|
1540 |
uchar *res=result_field->ptr; |
|
1541 |
||
1542 |
double nr= args[0]->val_real(); /* sets null_value as side-effect */ |
|
1543 |
||
1544 |
if (args[0]->null_value) |
|
1545 |
return; |
|
1546 |
||
1547 |
/* Serialize format is (double)m, (double)s, (longlong)count */
|
|
1548 |
double field_recurrence_m, field_recurrence_s; |
|
1549 |
float8get(field_recurrence_m, res); |
|
1550 |
float8get(field_recurrence_s, res + sizeof(double)); |
|
1551 |
field_count=sint8korr(res+sizeof(double)*2); |
|
1552 |
||
1553 |
variance_fp_recurrence_next(&field_recurrence_m, &field_recurrence_s, &field_count, nr); |
|
1554 |
||
1555 |
float8store(res, field_recurrence_m); |
|
1556 |
float8store(res + sizeof(double), field_recurrence_s); |
|
1557 |
res+= sizeof(double)*2; |
|
1558 |
int8store(res,field_count); |
|
1559 |
}
|
|
1560 |
||
1561 |
||
1562 |
/* min & max */
|
|
1563 |
||
1564 |
void Item_sum_hybrid::clear() |
|
1565 |
{
|
|
1566 |
switch (hybrid_type) { |
|
1567 |
case INT_RESULT: |
|
1568 |
sum_int= 0; |
|
1569 |
break; |
|
1570 |
case DECIMAL_RESULT: |
|
1571 |
my_decimal_set_zero(&sum_dec); |
|
1572 |
break; |
|
1573 |
case REAL_RESULT: |
|
1574 |
sum= 0.0; |
|
1575 |
break; |
|
1576 |
default: |
|
1577 |
value.length(0); |
|
1578 |
}
|
|
1579 |
null_value= 1; |
|
1580 |
}
|
|
1581 |
||
1582 |
double Item_sum_hybrid::val_real() |
|
1583 |
{
|
|
1584 |
DBUG_ASSERT(fixed == 1); |
|
1585 |
if (null_value) |
|
1586 |
return 0.0; |
|
1587 |
switch (hybrid_type) { |
|
1588 |
case STRING_RESULT: |
|
1589 |
{
|
|
1590 |
char *end_not_used; |
|
1591 |
int err_not_used; |
|
1592 |
String *res; res=val_str(&str_value); |
|
1593 |
return (res ? my_strntod(res->charset(), (char*) res->ptr(), res->length(), |
|
1594 |
&end_not_used, &err_not_used) : 0.0); |
|
1595 |
}
|
|
1596 |
case INT_RESULT: |
|
1597 |
if (unsigned_flag) |
|
1598 |
return ulonglong2double(sum_int); |
|
1599 |
return (double) sum_int; |
|
1600 |
case DECIMAL_RESULT: |
|
1601 |
my_decimal2double(E_DEC_FATAL_ERROR, &sum_dec, &sum); |
|
1602 |
return sum; |
|
1603 |
case REAL_RESULT: |
|
1604 |
return sum; |
|
1605 |
case ROW_RESULT: |
|
1606 |
default: |
|
1607 |
// This case should never be choosen
|
|
1608 |
DBUG_ASSERT(0); |
|
1609 |
return 0; |
|
1610 |
}
|
|
1611 |
}
|
|
1612 |
||
1613 |
longlong Item_sum_hybrid::val_int() |
|
1614 |
{
|
|
1615 |
DBUG_ASSERT(fixed == 1); |
|
1616 |
if (null_value) |
|
1617 |
return 0; |
|
1618 |
switch (hybrid_type) { |
|
1619 |
case INT_RESULT: |
|
1620 |
return sum_int; |
|
1621 |
case DECIMAL_RESULT: |
|
1622 |
{
|
|
1623 |
longlong result; |
|
1624 |
my_decimal2int(E_DEC_FATAL_ERROR, &sum_dec, unsigned_flag, &result); |
|
1625 |
return sum_int; |
|
1626 |
}
|
|
1627 |
default: |
|
1628 |
return (longlong) rint(Item_sum_hybrid::val_real()); |
|
1629 |
}
|
|
1630 |
}
|
|
1631 |
||
1632 |
||
1633 |
my_decimal *Item_sum_hybrid::val_decimal(my_decimal *val) |
|
1634 |
{
|
|
1635 |
DBUG_ASSERT(fixed == 1); |
|
1636 |
if (null_value) |
|
1637 |
return 0; |
|
1638 |
switch (hybrid_type) { |
|
1639 |
case STRING_RESULT: |
|
1640 |
string2my_decimal(E_DEC_FATAL_ERROR, &value, val); |
|
1641 |
break; |
|
1642 |
case REAL_RESULT: |
|
1643 |
double2my_decimal(E_DEC_FATAL_ERROR, sum, val); |
|
1644 |
break; |
|
1645 |
case DECIMAL_RESULT: |
|
1646 |
val= &sum_dec; |
|
1647 |
break; |
|
1648 |
case INT_RESULT: |
|
1649 |
int2my_decimal(E_DEC_FATAL_ERROR, sum_int, unsigned_flag, val); |
|
1650 |
break; |
|
1651 |
case ROW_RESULT: |
|
1652 |
default: |
|
1653 |
// This case should never be choosen
|
|
1654 |
DBUG_ASSERT(0); |
|
1655 |
break; |
|
1656 |
}
|
|
1657 |
return val; // Keep compiler happy |
|
1658 |
}
|
|
1659 |
||
1660 |
||
1661 |
String * |
|
1662 |
Item_sum_hybrid::val_str(String *str) |
|
1663 |
{
|
|
1664 |
DBUG_ASSERT(fixed == 1); |
|
1665 |
if (null_value) |
|
1666 |
return 0; |
|
1667 |
switch (hybrid_type) { |
|
1668 |
case STRING_RESULT: |
|
1669 |
return &value; |
|
1670 |
case REAL_RESULT: |
|
1671 |
str->set_real(sum,decimals, &my_charset_bin); |
|
1672 |
break; |
|
1673 |
case DECIMAL_RESULT: |
|
1674 |
my_decimal2string(E_DEC_FATAL_ERROR, &sum_dec, 0, 0, 0, str); |
|
1675 |
return str; |
|
1676 |
case INT_RESULT: |
|
1677 |
str->set_int(sum_int, unsigned_flag, &my_charset_bin); |
|
1678 |
break; |
|
1679 |
case ROW_RESULT: |
|
1680 |
default: |
|
1681 |
// This case should never be choosen
|
|
1682 |
DBUG_ASSERT(0); |
|
1683 |
break; |
|
1684 |
}
|
|
1685 |
return str; // Keep compiler happy |
|
1686 |
}
|
|
1687 |
||
1688 |
||
1689 |
void Item_sum_hybrid::cleanup() |
|
1690 |
{
|
|
1691 |
DBUG_ENTER("Item_sum_hybrid::cleanup"); |
|
1692 |
Item_sum::cleanup(); |
|
1693 |
forced_const= FALSE; |
|
1694 |
||
1695 |
/*
|
|
1696 |
by default it is TRUE to avoid TRUE reporting by
|
|
1697 |
Item_func_not_all/Item_func_nop_all if this item was never called.
|
|
1698 |
||
1699 |
no_rows_in_result() set it to FALSE if was not results found.
|
|
1700 |
If some results found it will be left unchanged.
|
|
1701 |
*/
|
|
1702 |
was_values= TRUE; |
|
1703 |
DBUG_VOID_RETURN; |
|
1704 |
}
|
|
1705 |
||
1706 |
void Item_sum_hybrid::no_rows_in_result() |
|
1707 |
{
|
|
1708 |
was_values= FALSE; |
|
1709 |
clear(); |
|
1710 |
}
|
|
1711 |
||
1712 |
||
1713 |
Item *Item_sum_min::copy_or_same(THD* thd) |
|
1714 |
{
|
|
1715 |
return new (thd->mem_root) Item_sum_min(thd, this); |
|
1716 |
}
|
|
1717 |
||
1718 |
||
1719 |
bool Item_sum_min::add() |
|
1720 |
{
|
|
1721 |
switch (hybrid_type) { |
|
1722 |
case STRING_RESULT: |
|
1723 |
{
|
|
1724 |
String *result=args[0]->val_str(&tmp_value); |
|
1725 |
if (!args[0]->null_value && |
|
1726 |
(null_value || sortcmp(&value,result,collation.collation) > 0)) |
|
1727 |
{
|
|
1728 |
value.copy(*result); |
|
1729 |
null_value=0; |
|
1730 |
}
|
|
1731 |
}
|
|
1732 |
break; |
|
1733 |
case INT_RESULT: |
|
1734 |
{
|
|
1735 |
longlong nr=args[0]->val_int(); |
|
1736 |
if (!args[0]->null_value && (null_value || |
|
1737 |
(unsigned_flag && |
|
1738 |
(ulonglong) nr < (ulonglong) sum_int) || |
|
1739 |
(!unsigned_flag && nr < sum_int))) |
|
1740 |
{
|
|
1741 |
sum_int=nr; |
|
1742 |
null_value=0; |
|
1743 |
}
|
|
1744 |
}
|
|
1745 |
break; |
|
1746 |
case DECIMAL_RESULT: |
|
1747 |
{
|
|
1748 |
my_decimal value_buff, *val= args[0]->val_decimal(&value_buff); |
|
1749 |
if (!args[0]->null_value && |
|
1750 |
(null_value || (my_decimal_cmp(&sum_dec, val) > 0))) |
|
1751 |
{
|
|
1752 |
my_decimal2decimal(val, &sum_dec); |
|
1753 |
null_value= 0; |
|
1754 |
}
|
|
1755 |
}
|
|
1756 |
break; |
|
1757 |
case REAL_RESULT: |
|
1758 |
{
|
|
1759 |
double nr= args[0]->val_real(); |
|
1760 |
if (!args[0]->null_value && (null_value || nr < sum)) |
|
1761 |
{
|
|
1762 |
sum=nr; |
|
1763 |
null_value=0; |
|
1764 |
}
|
|
1765 |
}
|
|
1766 |
break; |
|
1767 |
case ROW_RESULT: |
|
1768 |
default: |
|
1769 |
// This case should never be choosen
|
|
1770 |
DBUG_ASSERT(0); |
|
1771 |
break; |
|
1772 |
}
|
|
1773 |
return 0; |
|
1774 |
}
|
|
1775 |
||
1776 |
||
1777 |
Item *Item_sum_max::copy_or_same(THD* thd) |
|
1778 |
{
|
|
1779 |
return new (thd->mem_root) Item_sum_max(thd, this); |
|
1780 |
}
|
|
1781 |
||
1782 |
||
1783 |
bool Item_sum_max::add() |
|
1784 |
{
|
|
1785 |
switch (hybrid_type) { |
|
1786 |
case STRING_RESULT: |
|
1787 |
{
|
|
1788 |
String *result=args[0]->val_str(&tmp_value); |
|
1789 |
if (!args[0]->null_value && |
|
1790 |
(null_value || sortcmp(&value,result,collation.collation) < 0)) |
|
1791 |
{
|
|
1792 |
value.copy(*result); |
|
1793 |
null_value=0; |
|
1794 |
}
|
|
1795 |
}
|
|
1796 |
break; |
|
1797 |
case INT_RESULT: |
|
1798 |
{
|
|
1799 |
longlong nr=args[0]->val_int(); |
|
1800 |
if (!args[0]->null_value && (null_value || |
|
1801 |
(unsigned_flag && |
|
1802 |
(ulonglong) nr > (ulonglong) sum_int) || |
|
1803 |
(!unsigned_flag && nr > sum_int))) |
|
1804 |
{
|
|
1805 |
sum_int=nr; |
|
1806 |
null_value=0; |
|
1807 |
}
|
|
1808 |
}
|
|
1809 |
break; |
|
1810 |
case DECIMAL_RESULT: |
|
1811 |
{
|
|
1812 |
my_decimal value_buff, *val= args[0]->val_decimal(&value_buff); |
|
1813 |
if (!args[0]->null_value && |
|
1814 |
(null_value || (my_decimal_cmp(val, &sum_dec) > 0))) |
|
1815 |
{
|
|
1816 |
my_decimal2decimal(val, &sum_dec); |
|
1817 |
null_value= 0; |
|
1818 |
}
|
|
1819 |
}
|
|
1820 |
break; |
|
1821 |
case REAL_RESULT: |
|
1822 |
{
|
|
1823 |
double nr= args[0]->val_real(); |
|
1824 |
if (!args[0]->null_value && (null_value || nr > sum)) |
|
1825 |
{
|
|
1826 |
sum=nr; |
|
1827 |
null_value=0; |
|
1828 |
}
|
|
1829 |
}
|
|
1830 |
break; |
|
1831 |
case ROW_RESULT: |
|
1832 |
default: |
|
1833 |
// This case should never be choosen
|
|
1834 |
DBUG_ASSERT(0); |
|
1835 |
break; |
|
1836 |
}
|
|
1837 |
return 0; |
|
1838 |
}
|
|
1839 |
||
1840 |
||
1841 |
/* bit_or and bit_and */
|
|
1842 |
||
1843 |
longlong Item_sum_bit::val_int() |
|
1844 |
{
|
|
1845 |
DBUG_ASSERT(fixed == 1); |
|
1846 |
return (longlong) bits; |
|
1847 |
}
|
|
1848 |
||
1849 |
||
1850 |
void Item_sum_bit::clear() |
|
1851 |
{
|
|
1852 |
bits= reset_bits; |
|
1853 |
}
|
|
1854 |
||
1855 |
Item *Item_sum_or::copy_or_same(THD* thd) |
|
1856 |
{
|
|
1857 |
return new (thd->mem_root) Item_sum_or(thd, this); |
|
1858 |
}
|
|
1859 |
||
1860 |
||
1861 |
bool Item_sum_or::add() |
|
1862 |
{
|
|
1863 |
ulonglong value= (ulonglong) args[0]->val_int(); |
|
1864 |
if (!args[0]->null_value) |
|
1865 |
bits|=value; |
|
1866 |
return 0; |
|
1867 |
}
|
|
1868 |
||
1869 |
Item *Item_sum_xor::copy_or_same(THD* thd) |
|
1870 |
{
|
|
1871 |
return new (thd->mem_root) Item_sum_xor(thd, this); |
|
1872 |
}
|
|
1873 |
||
1874 |
||
1875 |
bool Item_sum_xor::add() |
|
1876 |
{
|
|
1877 |
ulonglong value= (ulonglong) args[0]->val_int(); |
|
1878 |
if (!args[0]->null_value) |
|
1879 |
bits^=value; |
|
1880 |
return 0; |
|
1881 |
}
|
|
1882 |
||
1883 |
Item *Item_sum_and::copy_or_same(THD* thd) |
|
1884 |
{
|
|
1885 |
return new (thd->mem_root) Item_sum_and(thd, this); |
|
1886 |
}
|
|
1887 |
||
1888 |
||
1889 |
bool Item_sum_and::add() |
|
1890 |
{
|
|
1891 |
ulonglong value= (ulonglong) args[0]->val_int(); |
|
1892 |
if (!args[0]->null_value) |
|
1893 |
bits&=value; |
|
1894 |
return 0; |
|
1895 |
}
|
|
1896 |
||
1897 |
/************************************************************************
|
|
1898 |
** reset result of a Item_sum with is saved in a tmp_table
|
|
1899 |
*************************************************************************/
|
|
1900 |
||
1901 |
void Item_sum_num::reset_field() |
|
1902 |
{
|
|
1903 |
double nr= args[0]->val_real(); |
|
1904 |
uchar *res=result_field->ptr; |
|
1905 |
||
1906 |
if (maybe_null) |
|
1907 |
{
|
|
1908 |
if (args[0]->null_value) |
|
1909 |
{
|
|
1910 |
nr=0.0; |
|
1911 |
result_field->set_null(); |
|
1912 |
}
|
|
1913 |
else
|
|
1914 |
result_field->set_notnull(); |
|
1915 |
}
|
|
1916 |
float8store(res,nr); |
|
1917 |
}
|
|
1918 |
||
1919 |
||
1920 |
void Item_sum_hybrid::reset_field() |
|
1921 |
{
|
|
1922 |
switch(hybrid_type) { |
|
1923 |
case STRING_RESULT: |
|
1924 |
{
|
|
1925 |
char buff[MAX_FIELD_WIDTH]; |
|
1926 |
String tmp(buff,sizeof(buff),result_field->charset()),*res; |
|
1927 |
||
1928 |
res=args[0]->val_str(&tmp); |
|
1929 |
if (args[0]->null_value) |
|
1930 |
{
|
|
1931 |
result_field->set_null(); |
|
1932 |
result_field->reset(); |
|
1933 |
}
|
|
1934 |
else
|
|
1935 |
{
|
|
1936 |
result_field->set_notnull(); |
|
1937 |
result_field->store(res->ptr(),res->length(),tmp.charset()); |
|
1938 |
}
|
|
1939 |
break; |
|
1940 |
}
|
|
1941 |
case INT_RESULT: |
|
1942 |
{
|
|
1943 |
longlong nr=args[0]->val_int(); |
|
1944 |
||
1945 |
if (maybe_null) |
|
1946 |
{
|
|
1947 |
if (args[0]->null_value) |
|
1948 |
{
|
|
1949 |
nr=0; |
|
1950 |
result_field->set_null(); |
|
1951 |
}
|
|
1952 |
else
|
|
1953 |
result_field->set_notnull(); |
|
1954 |
}
|
|
1955 |
result_field->store(nr, unsigned_flag); |
|
1956 |
break; |
|
1957 |
}
|
|
1958 |
case REAL_RESULT: |
|
1959 |
{
|
|
1960 |
double nr= args[0]->val_real(); |
|
1961 |
||
1962 |
if (maybe_null) |
|
1963 |
{
|
|
1964 |
if (args[0]->null_value) |
|
1965 |
{
|
|
1966 |
nr=0.0; |
|
1967 |
result_field->set_null(); |
|
1968 |
}
|
|
1969 |
else
|
|
1970 |
result_field->set_notnull(); |
|
1971 |
}
|
|
1972 |
result_field->store(nr); |
|
1973 |
break; |
|
1974 |
}
|
|
1975 |
case DECIMAL_RESULT: |
|
1976 |
{
|
|
1977 |
my_decimal value_buff, *arg_dec= args[0]->val_decimal(&value_buff); |
|
1978 |
||
1979 |
if (maybe_null) |
|
1980 |
{
|
|
1981 |
if (args[0]->null_value) |
|
1982 |
result_field->set_null(); |
|
1983 |
else
|
|
1984 |
result_field->set_notnull(); |
|
1985 |
}
|
|
1986 |
/*
|
|
1987 |
We must store zero in the field as we will use the field value in
|
|
1988 |
add()
|
|
1989 |
*/
|
|
1990 |
if (!arg_dec) // Null |
|
1991 |
arg_dec= &decimal_zero; |
|
1992 |
result_field->store_decimal(arg_dec); |
|
1993 |
break; |
|
1994 |
}
|
|
1995 |
case ROW_RESULT: |
|
1996 |
default: |
|
1997 |
DBUG_ASSERT(0); |
|
1998 |
}
|
|
1999 |
}
|
|
2000 |
||
2001 |
||
2002 |
void Item_sum_sum::reset_field() |
|
2003 |
{
|
|
2004 |
if (hybrid_type == DECIMAL_RESULT) |
|
2005 |
{
|
|
2006 |
my_decimal value, *arg_val= args[0]->val_decimal(&value); |
|
2007 |
if (!arg_val) // Null |
|
2008 |
arg_val= &decimal_zero; |
|
2009 |
result_field->store_decimal(arg_val); |
|
2010 |
}
|
|
2011 |
else
|
|
2012 |
{
|
|
2013 |
DBUG_ASSERT(hybrid_type == REAL_RESULT); |
|
2014 |
double nr= args[0]->val_real(); // Nulls also return 0 |
|
2015 |
float8store(result_field->ptr, nr); |
|
2016 |
}
|
|
2017 |
if (args[0]->null_value) |
|
2018 |
result_field->set_null(); |
|
2019 |
else
|
|
2020 |
result_field->set_notnull(); |
|
2021 |
}
|
|
2022 |
||
2023 |
||
2024 |
void Item_sum_count::reset_field() |
|
2025 |
{
|
|
2026 |
uchar *res=result_field->ptr; |
|
2027 |
longlong nr=0; |
|
2028 |
||
2029 |
if (!args[0]->maybe_null || !args[0]->is_null()) |
|
2030 |
nr=1; |
|
2031 |
int8store(res,nr); |
|
2032 |
}
|
|
2033 |
||
2034 |
||
2035 |
void Item_sum_avg::reset_field() |
|
2036 |
{
|
|
2037 |
uchar *res=result_field->ptr; |
|
2038 |
if (hybrid_type == DECIMAL_RESULT) |
|
2039 |
{
|
|
2040 |
longlong tmp; |
|
2041 |
my_decimal value, *arg_dec= args[0]->val_decimal(&value); |
|
2042 |
if (args[0]->null_value) |
|
2043 |
{
|
|
2044 |
arg_dec= &decimal_zero; |
|
2045 |
tmp= 0; |
|
2046 |
}
|
|
2047 |
else
|
|
2048 |
tmp= 1; |
|
2049 |
my_decimal2binary(E_DEC_FATAL_ERROR, arg_dec, res, f_precision, f_scale); |
|
2050 |
res+= dec_bin_size; |
|
2051 |
int8store(res, tmp); |
|
2052 |
}
|
|
2053 |
else
|
|
2054 |
{
|
|
2055 |
double nr= args[0]->val_real(); |
|
2056 |
||
2057 |
if (args[0]->null_value) |
|
2058 |
bzero(res,sizeof(double)+sizeof(longlong)); |
|
2059 |
else
|
|
2060 |
{
|
|
2061 |
longlong tmp= 1; |
|
2062 |
float8store(res,nr); |
|
2063 |
res+=sizeof(double); |
|
2064 |
int8store(res,tmp); |
|
2065 |
}
|
|
2066 |
}
|
|
2067 |
}
|
|
2068 |
||
2069 |
||
2070 |
void Item_sum_bit::reset_field() |
|
2071 |
{
|
|
2072 |
reset(); |
|
2073 |
int8store(result_field->ptr, bits); |
|
2074 |
}
|
|
2075 |
||
2076 |
void Item_sum_bit::update_field() |
|
2077 |
{
|
|
2078 |
uchar *res=result_field->ptr; |
|
2079 |
bits= uint8korr(res); |
|
2080 |
add(); |
|
2081 |
int8store(res, bits); |
|
2082 |
}
|
|
2083 |
||
2084 |
||
2085 |
/**
|
|
2086 |
calc next value and merge it with field_value.
|
|
2087 |
*/
|
|
2088 |
||
2089 |
void Item_sum_sum::update_field() |
|
2090 |
{
|
|
2091 |
if (hybrid_type == DECIMAL_RESULT) |
|
2092 |
{
|
|
2093 |
my_decimal value, *arg_val= args[0]->val_decimal(&value); |
|
2094 |
if (!args[0]->null_value) |
|
2095 |
{
|
|
2096 |
if (!result_field->is_null()) |
|
2097 |
{
|
|
2098 |
my_decimal field_value, |
|
2099 |
*field_val= result_field->val_decimal(&field_value); |
|
2100 |
my_decimal_add(E_DEC_FATAL_ERROR, dec_buffs, arg_val, field_val); |
|
2101 |
result_field->store_decimal(dec_buffs); |
|
2102 |
}
|
|
2103 |
else
|
|
2104 |
{
|
|
2105 |
result_field->store_decimal(arg_val); |
|
2106 |
result_field->set_notnull(); |
|
2107 |
}
|
|
2108 |
}
|
|
2109 |
}
|
|
2110 |
else
|
|
2111 |
{
|
|
2112 |
double old_nr,nr; |
|
2113 |
uchar *res=result_field->ptr; |
|
2114 |
||
2115 |
float8get(old_nr,res); |
|
2116 |
nr= args[0]->val_real(); |
|
2117 |
if (!args[0]->null_value) |
|
2118 |
{
|
|
2119 |
old_nr+=nr; |
|
2120 |
result_field->set_notnull(); |
|
2121 |
}
|
|
2122 |
float8store(res,old_nr); |
|
2123 |
}
|
|
2124 |
}
|
|
2125 |
||
2126 |
||
2127 |
void Item_sum_count::update_field() |
|
2128 |
{
|
|
2129 |
longlong nr; |
|
2130 |
uchar *res=result_field->ptr; |
|
2131 |
||
2132 |
nr=sint8korr(res); |
|
2133 |
if (!args[0]->maybe_null || !args[0]->is_null()) |
|
2134 |
nr++; |
|
2135 |
int8store(res,nr); |
|
2136 |
}
|
|
2137 |
||
2138 |
||
2139 |
void Item_sum_avg::update_field() |
|
2140 |
{
|
|
2141 |
longlong field_count; |
|
2142 |
uchar *res=result_field->ptr; |
|
2143 |
if (hybrid_type == DECIMAL_RESULT) |
|
2144 |
{
|
|
2145 |
my_decimal value, *arg_val= args[0]->val_decimal(&value); |
|
2146 |
if (!args[0]->null_value) |
|
2147 |
{
|
|
2148 |
binary2my_decimal(E_DEC_FATAL_ERROR, res, |
|
2149 |
dec_buffs + 1, f_precision, f_scale); |
|
2150 |
field_count= sint8korr(res + dec_bin_size); |
|
2151 |
my_decimal_add(E_DEC_FATAL_ERROR, dec_buffs, arg_val, dec_buffs + 1); |
|
2152 |
my_decimal2binary(E_DEC_FATAL_ERROR, dec_buffs, |
|
2153 |
res, f_precision, f_scale); |
|
2154 |
res+= dec_bin_size; |
|
2155 |
field_count++; |
|
2156 |
int8store(res, field_count); |
|
2157 |
}
|
|
2158 |
}
|
|
2159 |
else
|
|
2160 |
{
|
|
2161 |
double nr; |
|
2162 |
||
2163 |
nr= args[0]->val_real(); |
|
2164 |
if (!args[0]->null_value) |
|
2165 |
{
|
|
2166 |
double old_nr; |
|
2167 |
float8get(old_nr, res); |
|
2168 |
field_count= sint8korr(res + sizeof(double)); |
|
2169 |
old_nr+= nr; |
|
2170 |
float8store(res,old_nr); |
|
2171 |
res+= sizeof(double); |
|
2172 |
field_count++; |
|
2173 |
int8store(res, field_count); |
|
2174 |
}
|
|
2175 |
}
|
|
2176 |
}
|
|
2177 |
||
2178 |
||
2179 |
void Item_sum_hybrid::update_field() |
|
2180 |
{
|
|
2181 |
switch (hybrid_type) { |
|
2182 |
case STRING_RESULT: |
|
2183 |
min_max_update_str_field(); |
|
2184 |
break; |
|
2185 |
case INT_RESULT: |
|
2186 |
min_max_update_int_field(); |
|
2187 |
break; |
|
2188 |
case DECIMAL_RESULT: |
|
2189 |
min_max_update_decimal_field(); |
|
2190 |
break; |
|
2191 |
default: |
|
2192 |
min_max_update_real_field(); |
|
2193 |
}
|
|
2194 |
}
|
|
2195 |
||
2196 |
||
2197 |
void
|
|
2198 |
Item_sum_hybrid::min_max_update_str_field() |
|
2199 |
{
|
|
2200 |
String *res_str=args[0]->val_str(&value); |
|
2201 |
||
2202 |
if (!args[0]->null_value) |
|
2203 |
{
|
|
2204 |
result_field->val_str(&tmp_value); |
|
2205 |
||
2206 |
if (result_field->is_null() || |
|
2207 |
(cmp_sign * sortcmp(res_str,&tmp_value,collation.collation)) < 0) |
|
2208 |
result_field->store(res_str->ptr(),res_str->length(),res_str->charset()); |
|
2209 |
result_field->set_notnull(); |
|
2210 |
}
|
|
2211 |
}
|
|
2212 |
||
2213 |
||
2214 |
void
|
|
2215 |
Item_sum_hybrid::min_max_update_real_field() |
|
2216 |
{
|
|
2217 |
double nr,old_nr; |
|
2218 |
||
2219 |
old_nr=result_field->val_real(); |
|
2220 |
nr= args[0]->val_real(); |
|
2221 |
if (!args[0]->null_value) |
|
2222 |
{
|
|
2223 |
if (result_field->is_null(0) || |
|
2224 |
(cmp_sign > 0 ? old_nr > nr : old_nr < nr)) |
|
2225 |
old_nr=nr; |
|
2226 |
result_field->set_notnull(); |
|
2227 |
}
|
|
2228 |
else if (result_field->is_null(0)) |
|
2229 |
result_field->set_null(); |
|
2230 |
result_field->store(old_nr); |
|
2231 |
}
|
|
2232 |
||
2233 |
||
2234 |
void
|
|
2235 |
Item_sum_hybrid::min_max_update_int_field() |
|
2236 |
{
|
|
2237 |
longlong nr,old_nr; |
|
2238 |
||
2239 |
old_nr=result_field->val_int(); |
|
2240 |
nr=args[0]->val_int(); |
|
2241 |
if (!args[0]->null_value) |
|
2242 |
{
|
|
2243 |
if (result_field->is_null(0)) |
|
2244 |
old_nr=nr; |
|
2245 |
else
|
|
2246 |
{
|
|
2247 |
bool res=(unsigned_flag ? |
|
2248 |
(ulonglong) old_nr > (ulonglong) nr : |
|
2249 |
old_nr > nr); |
|
2250 |
/* (cmp_sign > 0 && res) || (!(cmp_sign > 0) && !res) */
|
|
2251 |
if ((cmp_sign > 0) ^ (!res)) |
|
2252 |
old_nr=nr; |
|
2253 |
}
|
|
2254 |
result_field->set_notnull(); |
|
2255 |
}
|
|
2256 |
else if (result_field->is_null(0)) |
|
2257 |
result_field->set_null(); |
|
2258 |
result_field->store(old_nr, unsigned_flag); |
|
2259 |
}
|
|
2260 |
||
2261 |
||
2262 |
/**
|
|
2263 |
@todo
|
|
2264 |
optimize: do not get result_field in case of args[0] is NULL
|
|
2265 |
*/
|
|
2266 |
void
|
|
2267 |
Item_sum_hybrid::min_max_update_decimal_field() |
|
2268 |
{
|
|
2269 |
/* TODO: optimize: do not get result_field in case of args[0] is NULL */
|
|
2270 |
my_decimal old_val, nr_val; |
|
2271 |
const my_decimal *old_nr= result_field->val_decimal(&old_val); |
|
2272 |
const my_decimal *nr= args[0]->val_decimal(&nr_val); |
|
2273 |
if (!args[0]->null_value) |
|
2274 |
{
|
|
2275 |
if (result_field->is_null(0)) |
|
2276 |
old_nr=nr; |
|
2277 |
else
|
|
2278 |
{
|
|
2279 |
bool res= my_decimal_cmp(old_nr, nr) > 0; |
|
2280 |
/* (cmp_sign > 0 && res) || (!(cmp_sign > 0) && !res) */
|
|
2281 |
if ((cmp_sign > 0) ^ (!res)) |
|
2282 |
old_nr=nr; |
|
2283 |
}
|
|
2284 |
result_field->set_notnull(); |
|
2285 |
}
|
|
2286 |
else if (result_field->is_null(0)) |
|
2287 |
result_field->set_null(); |
|
2288 |
result_field->store_decimal(old_nr); |
|
2289 |
}
|
|
2290 |
||
2291 |
||
2292 |
Item_avg_field::Item_avg_field(Item_result res_type, Item_sum_avg *item) |
|
2293 |
{
|
|
2294 |
name=item->name; |
|
2295 |
decimals=item->decimals; |
|
2296 |
max_length= item->max_length; |
|
2297 |
unsigned_flag= item->unsigned_flag; |
|
2298 |
field=item->result_field; |
|
2299 |
maybe_null=1; |
|
2300 |
hybrid_type= res_type; |
|
2301 |
prec_increment= item->prec_increment; |
|
2302 |
if (hybrid_type == DECIMAL_RESULT) |
|
2303 |
{
|
|
2304 |
f_scale= item->f_scale; |
|
2305 |
f_precision= item->f_precision; |
|
2306 |
dec_bin_size= item->dec_bin_size; |
|
2307 |
}
|
|
2308 |
}
|
|
2309 |
||
2310 |
double Item_avg_field::val_real() |
|
2311 |
{
|
|
2312 |
// fix_fields() never calls for this Item
|
|
2313 |
double nr; |
|
2314 |
longlong count; |
|
2315 |
uchar *res; |
|
2316 |
||
2317 |
if (hybrid_type == DECIMAL_RESULT) |
|
2318 |
return val_real_from_decimal(); |
|
2319 |
||
2320 |
float8get(nr,field->ptr); |
|
2321 |
res= (field->ptr+sizeof(double)); |
|
2322 |
count= sint8korr(res); |
|
2323 |
||
2324 |
if ((null_value= !count)) |
|
2325 |
return 0.0; |
|
2326 |
return nr/(double) count; |
|
2327 |
}
|
|
2328 |
||
2329 |
||
2330 |
longlong Item_avg_field::val_int() |
|
2331 |
{
|
|
2332 |
return (longlong) rint(val_real()); |
|
2333 |
}
|
|
2334 |
||
2335 |
||
2336 |
my_decimal *Item_avg_field::val_decimal(my_decimal *dec_buf) |
|
2337 |
{
|
|
2338 |
// fix_fields() never calls for this Item
|
|
2339 |
if (hybrid_type == REAL_RESULT) |
|
2340 |
return val_decimal_from_real(dec_buf); |
|
2341 |
||
2342 |
longlong count= sint8korr(field->ptr + dec_bin_size); |
|
2343 |
if ((null_value= !count)) |
|
2344 |
return 0; |
|
2345 |
||
2346 |
my_decimal dec_count, dec_field; |
|
2347 |
binary2my_decimal(E_DEC_FATAL_ERROR, |
|
2348 |
field->ptr, &dec_field, f_precision, f_scale); |
|
2349 |
int2my_decimal(E_DEC_FATAL_ERROR, count, 0, &dec_count); |
|
2350 |
my_decimal_div(E_DEC_FATAL_ERROR, dec_buf, |
|
2351 |
&dec_field, &dec_count, prec_increment); |
|
2352 |
return dec_buf; |
|
2353 |
}
|
|
2354 |
||
2355 |
||
2356 |
String *Item_avg_field::val_str(String *str) |
|
2357 |
{
|
|
2358 |
// fix_fields() never calls for this Item
|
|
2359 |
if (hybrid_type == DECIMAL_RESULT) |
|
2360 |
return val_string_from_decimal(str); |
|
2361 |
return val_string_from_real(str); |
|
2362 |
}
|
|
2363 |
||
2364 |
||
2365 |
Item_std_field::Item_std_field(Item_sum_std *item) |
|
2366 |
: Item_variance_field(item) |
|
2367 |
{
|
|
2368 |
}
|
|
2369 |
||
2370 |
||
2371 |
double Item_std_field::val_real() |
|
2372 |
{
|
|
2373 |
double nr; |
|
2374 |
// fix_fields() never calls for this Item
|
|
2375 |
nr= Item_variance_field::val_real(); |
|
2376 |
DBUG_ASSERT(nr >= 0.0); |
|
2377 |
return sqrt(nr); |
|
2378 |
}
|
|
2379 |
||
2380 |
||
2381 |
my_decimal *Item_std_field::val_decimal(my_decimal *dec_buf) |
|
2382 |
{
|
|
2383 |
/*
|
|
2384 |
We can't call val_decimal_from_real() for DECIMAL_RESULT as
|
|
2385 |
Item_variance_field::val_real() would cause an infinite loop
|
|
2386 |
*/
|
|
2387 |
my_decimal tmp_dec, *dec; |
|
2388 |
double nr; |
|
2389 |
if (hybrid_type == REAL_RESULT) |
|
2390 |
return val_decimal_from_real(dec_buf); |
|
2391 |
||
2392 |
dec= Item_variance_field::val_decimal(dec_buf); |
|
2393 |
if (!dec) |
|
2394 |
return 0; |
|
2395 |
my_decimal2double(E_DEC_FATAL_ERROR, dec, &nr); |
|
2396 |
DBUG_ASSERT(nr >= 0.0); |
|
2397 |
nr= sqrt(nr); |
|
2398 |
double2my_decimal(E_DEC_FATAL_ERROR, nr, &tmp_dec); |
|
2399 |
my_decimal_round(E_DEC_FATAL_ERROR, &tmp_dec, decimals, FALSE, dec_buf); |
|
2400 |
return dec_buf; |
|
2401 |
}
|
|
2402 |
||
2403 |
||
2404 |
Item_variance_field::Item_variance_field(Item_sum_variance *item) |
|
2405 |
{
|
|
2406 |
name=item->name; |
|
2407 |
decimals=item->decimals; |
|
2408 |
max_length=item->max_length; |
|
2409 |
unsigned_flag= item->unsigned_flag; |
|
2410 |
field=item->result_field; |
|
2411 |
maybe_null=1; |
|
2412 |
sample= item->sample; |
|
2413 |
prec_increment= item->prec_increment; |
|
2414 |
if ((hybrid_type= item->hybrid_type) == DECIMAL_RESULT) |
|
2415 |
{
|
|
2416 |
f_scale0= item->f_scale0; |
|
2417 |
f_precision0= item->f_precision0; |
|
2418 |
dec_bin_size0= item->dec_bin_size0; |
|
2419 |
f_scale1= item->f_scale1; |
|
2420 |
f_precision1= item->f_precision1; |
|
2421 |
dec_bin_size1= item->dec_bin_size1; |
|
2422 |
}
|
|
2423 |
}
|
|
2424 |
||
2425 |
||
2426 |
double Item_variance_field::val_real() |
|
2427 |
{
|
|
2428 |
// fix_fields() never calls for this Item
|
|
2429 |
if (hybrid_type == DECIMAL_RESULT) |
|
2430 |
return val_real_from_decimal(); |
|
2431 |
||
2432 |
double recurrence_s; |
|
2433 |
ulonglong count; |
|
2434 |
float8get(recurrence_s, (field->ptr + sizeof(double))); |
|
2435 |
count=sint8korr(field->ptr+sizeof(double)*2); |
|
2436 |
||
2437 |
if ((null_value= (count <= sample))) |
|
2438 |
return 0.0; |
|
2439 |
||
2440 |
return variance_fp_recurrence_result(recurrence_s, count, sample); |
|
2441 |
}
|
|
2442 |
||
2443 |
||
2444 |
/****************************************************************************
|
|
2445 |
** COUNT(DISTINCT ...)
|
|
2446 |
****************************************************************************/
|
|
2447 |
||
2448 |
int simple_str_key_cmp(void* arg, uchar* key1, uchar* key2) |
|
2449 |
{
|
|
2450 |
Field *f= (Field*) arg; |
|
2451 |
return f->cmp(key1, key2); |
|
2452 |
}
|
|
2453 |
||
2454 |
/**
|
|
2455 |
Did not make this one static - at least gcc gets confused when
|
|
2456 |
I try to declare a static function as a friend. If you can figure
|
|
2457 |
out the syntax to make a static function a friend, make this one
|
|
2458 |
static
|
|
2459 |
*/
|
|
2460 |
||
2461 |
int composite_key_cmp(void* arg, uchar* key1, uchar* key2) |
|
2462 |
{
|
|
2463 |
Item_sum_count_distinct* item = (Item_sum_count_distinct*)arg; |
|
2464 |
Field **field = item->table->field; |
|
2465 |
Field **field_end= field + item->table->s->fields; |
|
2466 |
uint32 *lengths=item->field_lengths; |
|
2467 |
for (; field < field_end; ++field) |
|
2468 |
{
|
|
2469 |
Field* f = *field; |
|
2470 |
int len = *lengths++; |
|
2471 |
int res = f->cmp(key1, key2); |
|
2472 |
if (res) |
|
2473 |
return res; |
|
2474 |
key1 += len; |
|
2475 |
key2 += len; |
|
2476 |
}
|
|
2477 |
return 0; |
|
2478 |
}
|
|
2479 |
||
2480 |
||
2481 |
C_MODE_START
|
|
2482 |
||
2483 |
static int count_distinct_walk(void *elem, element_count count, void *arg) |
|
2484 |
{
|
|
2485 |
(*((ulonglong*)arg))++; |
|
2486 |
return 0; |
|
2487 |
}
|
|
2488 |
||
2489 |
C_MODE_END
|
|
2490 |
||
2491 |
||
2492 |
void Item_sum_count_distinct::cleanup() |
|
2493 |
{
|
|
2494 |
DBUG_ENTER("Item_sum_count_distinct::cleanup"); |
|
2495 |
Item_sum_int::cleanup(); |
|
2496 |
||
2497 |
/* Free objects only if we own them. */
|
|
2498 |
if (!original) |
|
2499 |
{
|
|
2500 |
/*
|
|
2501 |
We need to delete the table and the tree in cleanup() as
|
|
2502 |
they were allocated in the runtime memroot. Using the runtime
|
|
2503 |
memroot reduces memory footprint for PS/SP and simplifies setup().
|
|
2504 |
*/
|
|
2505 |
delete tree; |
|
2506 |
tree= 0; |
|
2507 |
is_evaluated= FALSE; |
|
2508 |
if (table) |
|
2509 |
{
|
|
2510 |
free_tmp_table(table->in_use, table); |
|
2511 |
table= 0; |
|
2512 |
}
|
|
2513 |
delete tmp_table_param; |
|
2514 |
tmp_table_param= 0; |
|
2515 |
}
|
|
2516 |
always_null= FALSE; |
|
2517 |
DBUG_VOID_RETURN; |
|
2518 |
}
|
|
2519 |
||
2520 |
||
2521 |
/**
|
|
2522 |
This is used by rollup to create a separate usable copy of
|
|
2523 |
the function.
|
|
2524 |
*/
|
|
2525 |
||
2526 |
void Item_sum_count_distinct::make_unique() |
|
2527 |
{
|
|
2528 |
table=0; |
|
2529 |
original= 0; |
|
2530 |
force_copy_fields= 1; |
|
2531 |
tree= 0; |
|
2532 |
is_evaluated= FALSE; |
|
2533 |
tmp_table_param= 0; |
|
2534 |
always_null= FALSE; |
|
2535 |
}
|
|
2536 |
||
2537 |
||
2538 |
Item_sum_count_distinct::~Item_sum_count_distinct() |
|
2539 |
{
|
|
2540 |
cleanup(); |
|
2541 |
}
|
|
2542 |
||
2543 |
||
2544 |
bool Item_sum_count_distinct::setup(THD *thd) |
|
2545 |
{
|
|
2546 |
List<Item> list; |
|
2547 |
SELECT_LEX *select_lex= thd->lex->current_select; |
|
2548 |
||
2549 |
/*
|
|
2550 |
Setup can be called twice for ROLLUP items. This is a bug.
|
|
2551 |
Please add DBUG_ASSERT(tree == 0) here when it's fixed.
|
|
2552 |
It's legal to call setup() more than once when in a subquery
|
|
2553 |
*/
|
|
2554 |
if (tree || table || tmp_table_param) |
|
2555 |
return FALSE; |
|
2556 |
||
2557 |
if (!(tmp_table_param= new TMP_TABLE_PARAM)) |
|
2558 |
return TRUE; |
|
2559 |
||
2560 |
/* Create a table with an unique key over all parameters */
|
|
2561 |
for (uint i=0; i < arg_count ; i++) |
|
2562 |
{
|
|
2563 |
Item *item=args[i]; |
|
2564 |
if (list.push_back(item)) |
|
2565 |
return TRUE; // End of memory |
|
2566 |
if (item->const_item() && item->is_null()) |
|
2567 |
always_null= 1; |
|
2568 |
}
|
|
2569 |
if (always_null) |
|
2570 |
return FALSE; |
|
2571 |
count_field_types(select_lex, tmp_table_param, list, 0); |
|
2572 |
tmp_table_param->force_copy_fields= force_copy_fields; |
|
2573 |
DBUG_ASSERT(table == 0); |
|
2574 |
/*
|
|
2575 |
Make create_tmp_table() convert BIT columns to BIGINT.
|
|
2576 |
This is needed because BIT fields store parts of their data in table's
|
|
2577 |
null bits, and we don't have methods to compare two table records, which
|
|
2578 |
is needed by Unique which is used when HEAP table is used.
|
|
2579 |
*/
|
|
2580 |
{
|
|
2581 |
List_iterator_fast<Item> li(list); |
|
2582 |
Item *item; |
|
2583 |
while ((item= li++)) |
|
2584 |
{
|
|
2585 |
if (item->type() == Item::FIELD_ITEM && |
|
2586 |
((Item_field*)item)->field->type() == FIELD_TYPE_BIT) |
|
2587 |
item->marker=4; |
|
2588 |
}
|
|
2589 |
}
|
|
2590 |
||
2591 |
if (!(table= create_tmp_table(thd, tmp_table_param, list, (ORDER*) 0, 1, |
|
2592 |
0, |
|
2593 |
(select_lex->options | thd->options), |
|
2594 |
HA_POS_ERROR, (char*)""))) |
|
2595 |
return TRUE; |
|
2596 |
table->file->extra(HA_EXTRA_NO_ROWS); // Don't update rows |
|
2597 |
table->no_rows=1; |
|
2598 |
||
2599 |
if (table->s->db_type() == heap_hton) |
|
2600 |
{
|
|
2601 |
/*
|
|
2602 |
No blobs, otherwise it would have been MyISAM: set up a compare
|
|
2603 |
function and its arguments to use with Unique.
|
|
2604 |
*/
|
|
2605 |
qsort_cmp2 compare_key; |
|
2606 |
void* cmp_arg; |
|
2607 |
Field **field= table->field; |
|
2608 |
Field **field_end= field + table->s->fields; |
|
2609 |
bool all_binary= TRUE; |
|
2610 |
||
2611 |
for (tree_key_length= 0; field < field_end; ++field) |
|
2612 |
{
|
|
2613 |
Field *f= *field; |
|
2614 |
enum enum_field_types f_type= f->type(); |
|
2615 |
tree_key_length+= f->pack_length(); |
|
2616 |
if ((f_type == MYSQL_TYPE_VARCHAR) || (!f->binary() && (f_type == MYSQL_TYPE_STRING || f_type == MYSQL_TYPE_VAR_STRING))) |
|
2617 |
{
|
|
2618 |
all_binary= FALSE; |
|
2619 |
break; |
|
2620 |
}
|
|
2621 |
}
|
|
2622 |
if (all_binary) |
|
2623 |
{
|
|
2624 |
cmp_arg= (void*) &tree_key_length; |
|
2625 |
compare_key= (qsort_cmp2) simple_raw_key_cmp; |
|
2626 |
}
|
|
2627 |
else
|
|
2628 |
{
|
|
2629 |
if (table->s->fields == 1) |
|
2630 |
{
|
|
2631 |
/*
|
|
2632 |
If we have only one field, which is the most common use of
|
|
2633 |
count(distinct), it is much faster to use a simpler key
|
|
2634 |
compare method that can take advantage of not having to worry
|
|
2635 |
about other fields.
|
|
2636 |
*/
|
|
2637 |
compare_key= (qsort_cmp2) simple_str_key_cmp; |
|
2638 |
cmp_arg= (void*) table->field[0]; |
|
2639 |
/* tree_key_length has been set already */
|
|
2640 |
}
|
|
2641 |
else
|
|
2642 |
{
|
|
2643 |
uint32 *length; |
|
2644 |
compare_key= (qsort_cmp2) composite_key_cmp; |
|
2645 |
cmp_arg= (void*) this; |
|
2646 |
field_lengths= (uint32*) thd->alloc(table->s->fields * sizeof(uint32)); |
|
2647 |
for (tree_key_length= 0, length= field_lengths, field= table->field; |
|
2648 |
field < field_end; ++field, ++length) |
|
2649 |
{
|
|
2650 |
*length= (*field)->pack_length(); |
|
2651 |
tree_key_length+= *length; |
|
2652 |
}
|
|
2653 |
}
|
|
2654 |
}
|
|
2655 |
DBUG_ASSERT(tree == 0); |
|
2656 |
tree= new Unique(compare_key, cmp_arg, tree_key_length, |
|
2657 |
thd->variables.max_heap_table_size); |
|
2658 |
/*
|
|
2659 |
The only time tree_key_length could be 0 is if someone does
|
|
2660 |
count(distinct) on a char(0) field - stupid thing to do,
|
|
2661 |
but this has to be handled - otherwise someone can crash
|
|
2662 |
the server with a DoS attack
|
|
2663 |
*/
|
|
2664 |
is_evaluated= FALSE; |
|
2665 |
if (! tree) |
|
2666 |
return TRUE; |
|
2667 |
}
|
|
2668 |
return FALSE; |
|
2669 |
}
|
|
2670 |
||
2671 |
||
2672 |
Item *Item_sum_count_distinct::copy_or_same(THD* thd) |
|
2673 |
{
|
|
2674 |
return new (thd->mem_root) Item_sum_count_distinct(thd, this); |
|
2675 |
}
|
|
2676 |
||
2677 |
||
2678 |
void Item_sum_count_distinct::clear() |
|
2679 |
{
|
|
2680 |
/* tree and table can be both null only if always_null */
|
|
2681 |
is_evaluated= FALSE; |
|
2682 |
if (tree) |
|
2683 |
{
|
|
2684 |
tree->reset(); |
|
2685 |
}
|
|
2686 |
else if (table) |
|
2687 |
{
|
|
2688 |
table->file->extra(HA_EXTRA_NO_CACHE); |
|
2689 |
table->file->ha_delete_all_rows(); |
|
2690 |
table->file->extra(HA_EXTRA_WRITE_CACHE); |
|
2691 |
}
|
|
2692 |
}
|
|
2693 |
||
2694 |
bool Item_sum_count_distinct::add() |
|
2695 |
{
|
|
2696 |
int error; |
|
2697 |
if (always_null) |
|
2698 |
return 0; |
|
2699 |
copy_fields(tmp_table_param); |
|
2700 |
copy_funcs(tmp_table_param->items_to_copy); |
|
2701 |
||
2702 |
for (Field **field=table->field ; *field ; field++) |
|
2703 |
if ((*field)->is_real_null(0)) |
|
2704 |
return 0; // Don't count NULL |
|
2705 |
||
2706 |
is_evaluated= FALSE; |
|
2707 |
if (tree) |
|
2708 |
{
|
|
2709 |
/*
|
|
2710 |
The first few bytes of record (at least one) are just markers
|
|
2711 |
for deleted and NULLs. We want to skip them since they will
|
|
2712 |
bloat the tree without providing any valuable info. Besides,
|
|
2713 |
key_length used to initialize the tree didn't include space for them.
|
|
2714 |
*/
|
|
2715 |
return tree->unique_add(table->record[0] + table->s->null_bytes); |
|
2716 |
}
|
|
2717 |
if ((error= table->file->ha_write_row(table->record[0])) && |
|
2718 |
table->file->is_fatal_error(error, HA_CHECK_DUP)) |
|
2719 |
return TRUE; |
|
2720 |
return FALSE; |
|
2721 |
}
|
|
2722 |
||
2723 |
||
2724 |
longlong Item_sum_count_distinct::val_int() |
|
2725 |
{
|
|
2726 |
int error; |
|
2727 |
DBUG_ASSERT(fixed == 1); |
|
2728 |
if (!table) // Empty query |
|
2729 |
return LL(0); |
|
2730 |
if (tree) |
|
2731 |
{
|
|
2732 |
if (is_evaluated) |
|
2733 |
return count; |
|
2734 |
||
2735 |
if (tree->elements == 0) |
|
2736 |
return (longlong) tree->elements_in_tree(); // everything fits in memory |
|
2737 |
count= 0; |
|
2738 |
tree->walk(count_distinct_walk, (void*) &count); |
|
2739 |
is_evaluated= TRUE; |
|
2740 |
return (longlong) count; |
|
2741 |
}
|
|
2742 |
||
2743 |
error= table->file->info(HA_STATUS_VARIABLE | HA_STATUS_NO_LOCK); |
|
2744 |
||
2745 |
if(error) |
|
2746 |
{
|
|
2747 |
table->file->print_error(error, MYF(0)); |
|
2748 |
}
|
|
2749 |
||
2750 |
return table->file->stats.records; |
|
2751 |
}
|
|
2752 |
||
2753 |
||
2754 |
/****************************************************************************
|
|
2755 |
** Functions to handle dynamic loadable aggregates
|
|
2756 |
** Original source by: Alexis Mikhailov <root@medinf.chuvashia.su>
|
|
2757 |
** Adapted for UDAs by: Andreas F. Bobak <bobak@relog.ch>.
|
|
2758 |
** Rewritten by: Monty.
|
|
2759 |
****************************************************************************/
|
|
2760 |
||
2761 |
#ifdef HAVE_DLOPEN
|
|
2762 |
||
2763 |
void Item_udf_sum::clear() |
|
2764 |
{
|
|
2765 |
DBUG_ENTER("Item_udf_sum::clear"); |
|
2766 |
udf.clear(); |
|
2767 |
DBUG_VOID_RETURN; |
|
2768 |
}
|
|
2769 |
||
2770 |
bool Item_udf_sum::add() |
|
2771 |
{
|
|
2772 |
DBUG_ENTER("Item_udf_sum::add"); |
|
2773 |
udf.add(&null_value); |
|
2774 |
DBUG_RETURN(0); |
|
2775 |
}
|
|
2776 |
||
2777 |
void Item_udf_sum::cleanup() |
|
2778 |
{
|
|
2779 |
/*
|
|
2780 |
udf_handler::cleanup() nicely handles case when we have not
|
|
2781 |
original item but one created by copy_or_same() method.
|
|
2782 |
*/
|
|
2783 |
udf.cleanup(); |
|
2784 |
Item_sum::cleanup(); |
|
2785 |
}
|
|
2786 |
||
2787 |
||
2788 |
void Item_udf_sum::print(String *str, enum_query_type query_type) |
|
2789 |
{
|
|
2790 |
str->append(func_name()); |
|
2791 |
str->append('('); |
|
2792 |
for (uint i=0 ; i < arg_count ; i++) |
|
2793 |
{
|
|
2794 |
if (i) |
|
2795 |
str->append(','); |
|
2796 |
args[i]->print(str, query_type); |
|
2797 |
}
|
|
2798 |
str->append(')'); |
|
2799 |
}
|
|
2800 |
||
2801 |
||
2802 |
Item *Item_sum_udf_float::copy_or_same(THD* thd) |
|
2803 |
{
|
|
2804 |
return new (thd->mem_root) Item_sum_udf_float(thd, this); |
|
2805 |
}
|
|
2806 |
||
2807 |
double Item_sum_udf_float::val_real() |
|
2808 |
{
|
|
2809 |
DBUG_ASSERT(fixed == 1); |
|
2810 |
DBUG_ENTER("Item_sum_udf_float::val"); |
|
2811 |
DBUG_PRINT("info",("result_type: %d arg_count: %d", |
|
2812 |
args[0]->result_type(), arg_count)); |
|
2813 |
DBUG_RETURN(udf.val(&null_value)); |
|
2814 |
}
|
|
2815 |
||
2816 |
||
2817 |
String *Item_sum_udf_float::val_str(String *str) |
|
2818 |
{
|
|
2819 |
return val_string_from_real(str); |
|
2820 |
}
|
|
2821 |
||
2822 |
||
2823 |
my_decimal *Item_sum_udf_float::val_decimal(my_decimal *dec) |
|
2824 |
{
|
|
2825 |
return val_decimal_from_real(dec); |
|
2826 |
}
|
|
2827 |
||
2828 |
||
2829 |
String *Item_sum_udf_decimal::val_str(String *str) |
|
2830 |
{
|
|
2831 |
return val_string_from_decimal(str); |
|
2832 |
}
|
|
2833 |
||
2834 |
||
2835 |
double Item_sum_udf_decimal::val_real() |
|
2836 |
{
|
|
2837 |
return val_real_from_decimal(); |
|
2838 |
}
|
|
2839 |
||
2840 |
||
2841 |
longlong Item_sum_udf_decimal::val_int() |
|
2842 |
{
|
|
2843 |
return val_int_from_decimal(); |
|
2844 |
}
|
|
2845 |
||
2846 |
||
2847 |
my_decimal *Item_sum_udf_decimal::val_decimal(my_decimal *dec_buf) |
|
2848 |
{
|
|
2849 |
DBUG_ASSERT(fixed == 1); |
|
2850 |
DBUG_ENTER("Item_func_udf_decimal::val_decimal"); |
|
2851 |
DBUG_PRINT("info",("result_type: %d arg_count: %d", |
|
2852 |
args[0]->result_type(), arg_count)); |
|
2853 |
||
2854 |
DBUG_RETURN(udf.val_decimal(&null_value, dec_buf)); |
|
2855 |
}
|
|
2856 |
||
2857 |
||
2858 |
Item *Item_sum_udf_decimal::copy_or_same(THD* thd) |
|
2859 |
{
|
|
2860 |
return new (thd->mem_root) Item_sum_udf_decimal(thd, this); |
|
2861 |
}
|
|
2862 |
||
2863 |
||
2864 |
Item *Item_sum_udf_int::copy_or_same(THD* thd) |
|
2865 |
{
|
|
2866 |
return new (thd->mem_root) Item_sum_udf_int(thd, this); |
|
2867 |
}
|
|
2868 |
||
2869 |
longlong Item_sum_udf_int::val_int() |
|
2870 |
{
|
|
2871 |
DBUG_ASSERT(fixed == 1); |
|
2872 |
DBUG_ENTER("Item_sum_udf_int::val_int"); |
|
2873 |
DBUG_PRINT("info",("result_type: %d arg_count: %d", |
|
2874 |
args[0]->result_type(), arg_count)); |
|
2875 |
DBUG_RETURN(udf.val_int(&null_value)); |
|
2876 |
}
|
|
2877 |
||
2878 |
||
2879 |
String *Item_sum_udf_int::val_str(String *str) |
|
2880 |
{
|
|
2881 |
return val_string_from_int(str); |
|
2882 |
}
|
|
2883 |
||
2884 |
my_decimal *Item_sum_udf_int::val_decimal(my_decimal *dec) |
|
2885 |
{
|
|
2886 |
return val_decimal_from_int(dec); |
|
2887 |
}
|
|
2888 |
||
2889 |
||
2890 |
/** Default max_length is max argument length. */
|
|
2891 |
||
2892 |
void Item_sum_udf_str::fix_length_and_dec() |
|
2893 |
{
|
|
2894 |
DBUG_ENTER("Item_sum_udf_str::fix_length_and_dec"); |
|
2895 |
max_length=0; |
|
2896 |
for (uint i = 0; i < arg_count; i++) |
|
2897 |
set_if_bigger(max_length,args[i]->max_length); |
|
2898 |
DBUG_VOID_RETURN; |
|
2899 |
}
|
|
2900 |
||
2901 |
||
2902 |
Item *Item_sum_udf_str::copy_or_same(THD* thd) |
|
2903 |
{
|
|
2904 |
return new (thd->mem_root) Item_sum_udf_str(thd, this); |
|
2905 |
}
|
|
2906 |
||
2907 |
||
2908 |
my_decimal *Item_sum_udf_str::val_decimal(my_decimal *dec) |
|
2909 |
{
|
|
2910 |
return val_decimal_from_string(dec); |
|
2911 |
}
|
|
2912 |
||
2913 |
String *Item_sum_udf_str::val_str(String *str) |
|
2914 |
{
|
|
2915 |
DBUG_ASSERT(fixed == 1); |
|
2916 |
DBUG_ENTER("Item_sum_udf_str::str"); |
|
2917 |
String *res=udf.val_str(str,&str_value); |
|
2918 |
null_value = !res; |
|
2919 |
DBUG_RETURN(res); |
|
2920 |
}
|
|
2921 |
||
2922 |
#endif /* HAVE_DLOPEN */ |
|
2923 |
||
2924 |
||
2925 |
/*****************************************************************************
|
|
2926 |
GROUP_CONCAT function
|
|
2927 |
||
2928 |
SQL SYNTAX:
|
|
2929 |
GROUP_CONCAT([DISTINCT] expr,... [ORDER BY col [ASC|DESC],...]
|
|
2930 |
[SEPARATOR str_const])
|
|
2931 |
||
2932 |
concat of values from "group by" operation
|
|
2933 |
||
2934 |
BUGS
|
|
2935 |
Blobs doesn't work with DISTINCT or ORDER BY
|
|
2936 |
*****************************************************************************/
|
|
2937 |
||
2938 |
||
2939 |
/**
|
|
2940 |
Compares the values for fields in expr list of GROUP_CONCAT.
|
|
2941 |
@note
|
|
2942 |
|
|
2943 |
GROUP_CONCAT([DISTINCT] expr [,expr ...]
|
|
2944 |
[ORDER BY {unsigned_integer | col_name | expr}
|
|
2945 |
[ASC | DESC] [,col_name ...]]
|
|
2946 |
[SEPARATOR str_val])
|
|
2947 |
|
|
2948 |
@return
|
|
2949 |
@retval -1 : key1 < key2
|
|
2950 |
@retval 0 : key1 = key2
|
|
2951 |
@retval 1 : key1 > key2
|
|
2952 |
*/
|
|
2953 |
||
2954 |
int group_concat_key_cmp_with_distinct(void* arg, const void* key1, |
|
2955 |
const void* key2) |
|
2956 |
{
|
|
2957 |
Item_func_group_concat *item_func= (Item_func_group_concat*)arg; |
|
2958 |
TABLE *table= item_func->table; |
|
2959 |
||
2960 |
for (uint i= 0; i < item_func->arg_count_field; i++) |
|
2961 |
{
|
|
2962 |
Item *item= item_func->args[i]; |
|
2963 |
/*
|
|
2964 |
If field_item is a const item then either get_tp_table_field returns 0
|
|
2965 |
or it is an item over a const table.
|
|
2966 |
*/
|
|
2967 |
if (item->const_item()) |
|
2968 |
continue; |
|
2969 |
/*
|
|
2970 |
We have to use get_tmp_table_field() instead of
|
|
2971 |
real_item()->get_tmp_table_field() because we want the field in
|
|
2972 |
the temporary table, not the original field
|
|
2973 |
*/
|
|
2974 |
Field *field= item->get_tmp_table_field(); |
|
2975 |
int res; |
|
2976 |
uint offset= field->offset(field->table->record[0])-table->s->null_bytes; |
|
2977 |
if((res= field->cmp((uchar*)key1 + offset, (uchar*)key2 + offset))) |
|
2978 |
return res; |
|
2979 |
}
|
|
2980 |
return 0; |
|
2981 |
}
|
|
2982 |
||
2983 |
||
2984 |
/**
|
|
2985 |
function of sort for syntax: GROUP_CONCAT(expr,... ORDER BY col,... )
|
|
2986 |
*/
|
|
2987 |
||
2988 |
int group_concat_key_cmp_with_order(void* arg, const void* key1, |
|
2989 |
const void* key2) |
|
2990 |
{
|
|
2991 |
Item_func_group_concat* grp_item= (Item_func_group_concat*) arg; |
|
2992 |
ORDER **order_item, **end; |
|
2993 |
TABLE *table= grp_item->table; |
|
2994 |
||
2995 |
for (order_item= grp_item->order, end=order_item+ grp_item->arg_count_order; |
|
2996 |
order_item < end; |
|
2997 |
order_item++) |
|
2998 |
{
|
|
2999 |
Item *item= *(*order_item)->item; |
|
3000 |
/*
|
|
3001 |
We have to use get_tmp_table_field() instead of
|
|
3002 |
real_item()->get_tmp_table_field() because we want the field in
|
|
3003 |
the temporary table, not the original field
|
|
3004 |
*/
|
|
3005 |
Field *field= item->get_tmp_table_field(); |
|
3006 |
/*
|
|
3007 |
If item is a const item then either get_tp_table_field returns 0
|
|
3008 |
or it is an item over a const table.
|
|
3009 |
*/
|
|
3010 |
if (field && !item->const_item()) |
|
3011 |
{
|
|
3012 |
int res; |
|
3013 |
uint offset= (field->offset(field->table->record[0]) - |
|
3014 |
table->s->null_bytes); |
|
3015 |
if ((res= field->cmp((uchar*)key1 + offset, (uchar*)key2 + offset))) |
|
3016 |
return (*order_item)->asc ? res : -res; |
|
3017 |
}
|
|
3018 |
}
|
|
3019 |
/*
|
|
3020 |
We can't return 0 because in that case the tree class would remove this
|
|
3021 |
item as double value. This would cause problems for case-changes and
|
|
3022 |
if the returned values are not the same we do the sort on.
|
|
3023 |
*/
|
|
3024 |
return 1; |
|
3025 |
}
|
|
3026 |
||
3027 |
||
3028 |
/**
|
|
3029 |
Append data from current leaf to item->result.
|
|
3030 |
*/
|
|
3031 |
||
3032 |
int dump_leaf_key(uchar* key, element_count count __attribute__((unused)), |
|
3033 |
Item_func_group_concat *item) |
|
3034 |
{
|
|
3035 |
TABLE *table= item->table; |
|
3036 |
String tmp((char *)table->record[1], table->s->reclength, |
|
3037 |
default_charset_info); |
|
3038 |
String tmp2; |
|
3039 |
String *result= &item->result; |
|
3040 |
Item **arg= item->args, **arg_end= item->args + item->arg_count_field; |
|
3041 |
uint old_length= result->length(); |
|
3042 |
||
3043 |
if (item->no_appended) |
|
3044 |
item->no_appended= FALSE; |
|
3045 |
else
|
|
3046 |
result->append(*item->separator); |
|
3047 |
||
3048 |
tmp.length(0); |
|
3049 |
||
3050 |
for (; arg < arg_end; arg++) |
|
3051 |
{
|
|
3052 |
String *res; |
|
3053 |
if (! (*arg)->const_item()) |
|
3054 |
{
|
|
3055 |
/*
|
|
3056 |
We have to use get_tmp_table_field() instead of
|
|
3057 |
real_item()->get_tmp_table_field() because we want the field in
|
|
3058 |
the temporary table, not the original field
|
|
3059 |
We also can't use table->field array to access the fields
|
|
3060 |
because it contains both order and arg list fields.
|
|
3061 |
*/
|
|
3062 |
Field *field= (*arg)->get_tmp_table_field(); |
|
3063 |
uint offset= (field->offset(field->table->record[0]) - |
|
3064 |
table->s->null_bytes); |
|
3065 |
DBUG_ASSERT(offset < table->s->reclength); |
|
3066 |
res= field->val_str(&tmp, key + offset); |
|
3067 |
}
|
|
3068 |
else
|
|
3069 |
res= (*arg)->val_str(&tmp); |
|
3070 |
if (res) |
|
3071 |
result->append(*res); |
|
3072 |
}
|
|
3073 |
||
3074 |
/* stop if length of result more than max_length */
|
|
3075 |
if (result->length() > item->max_length) |
|
3076 |
{
|
|
3077 |
int well_formed_error; |
|
3078 |
CHARSET_INFO *cs= item->collation.collation; |
|
3079 |
const char *ptr= result->ptr(); |
|
3080 |
uint add_length; |
|
3081 |
/*
|
|
3082 |
It's ok to use item->result.length() as the fourth argument
|
|
3083 |
as this is never used to limit the length of the data.
|
|
3084 |
Cut is done with the third argument.
|
|
3085 |
*/
|
|
3086 |
add_length= cs->cset->well_formed_len(cs, |
|
3087 |
ptr + old_length, |
|
3088 |
ptr + item->max_length, |
|
3089 |
result->length(), |
|
3090 |
&well_formed_error); |
|
3091 |
result->length(old_length + add_length); |
|
3092 |
item->count_cut_values++; |
|
3093 |
item->warning_for_row= TRUE; |
|
3094 |
return 1; |
|
3095 |
}
|
|
3096 |
return 0; |
|
3097 |
}
|
|
3098 |
||
3099 |
||
3100 |
/**
|
|
3101 |
Constructor of Item_func_group_concat.
|
|
3102 |
||
3103 |
@param distinct_arg distinct
|
|
3104 |
@param select_list list of expression for show values
|
|
3105 |
@param order_list list of sort columns
|
|
3106 |
@param separator_arg string value of separator.
|
|
3107 |
*/
|
|
3108 |
||
3109 |
Item_func_group_concat:: |
|
3110 |
Item_func_group_concat(Name_resolution_context *context_arg, |
|
3111 |
bool distinct_arg, List<Item> *select_list, |
|
3112 |
SQL_LIST *order_list, String *separator_arg) |
|
3113 |
:tmp_table_param(0), warning(0), |
|
3114 |
separator(separator_arg), tree(0), unique_filter(NULL), table(0), |
|
3115 |
order(0), context(context_arg), |
|
3116 |
arg_count_order(order_list ? order_list->elements : 0), |
|
3117 |
arg_count_field(select_list->elements), |
|
3118 |
count_cut_values(0), |
|
3119 |
distinct(distinct_arg), |
|
3120 |
warning_for_row(FALSE), |
|
3121 |
force_copy_fields(0), original(0) |
|
3122 |
{
|
|
3123 |
Item *item_select; |
|
3124 |
Item **arg_ptr; |
|
3125 |
||
3126 |
quick_group= FALSE; |
|
3127 |
arg_count= arg_count_field + arg_count_order; |
|
3128 |
||
3129 |
/*
|
|
3130 |
We need to allocate:
|
|
3131 |
args - arg_count_field+arg_count_order
|
|
3132 |
(for possible order items in temporare tables)
|
|
3133 |
order - arg_count_order
|
|
3134 |
*/
|
|
3135 |
if (!(args= (Item**) sql_alloc(sizeof(Item*) * arg_count + |
|
3136 |
sizeof(ORDER*)*arg_count_order))) |
|
3137 |
return; |
|
3138 |
||
3139 |
order= (ORDER**)(args + arg_count); |
|
3140 |
||
3141 |
/* fill args items of show and sort */
|
|
3142 |
List_iterator_fast<Item> li(*select_list); |
|
3143 |
||
3144 |
for (arg_ptr=args ; (item_select= li++) ; arg_ptr++) |
|
3145 |
*arg_ptr= item_select; |
|
3146 |
||
3147 |
if (arg_count_order) |
|
3148 |
{
|
|
3149 |
ORDER **order_ptr= order; |
|
3150 |
for (ORDER *order_item= (ORDER*) order_list->first; |
|
3151 |
order_item != NULL; |
|
3152 |
order_item= order_item->next) |
|
3153 |
{
|
|
3154 |
(*order_ptr++)= order_item; |
|
3155 |
*arg_ptr= *order_item->item; |
|
3156 |
order_item->item= arg_ptr++; |
|
3157 |
}
|
|
3158 |
}
|
|
3159 |
}
|
|
3160 |
||
3161 |
||
3162 |
Item_func_group_concat::Item_func_group_concat(THD *thd, |
|
3163 |
Item_func_group_concat *item) |
|
3164 |
:Item_sum(thd, item), |
|
3165 |
tmp_table_param(item->tmp_table_param), |
|
3166 |
warning(item->warning), |
|
3167 |
separator(item->separator), |
|
3168 |
tree(item->tree), |
|
3169 |
unique_filter(item->unique_filter), |
|
3170 |
table(item->table), |
|
3171 |
order(item->order), |
|
3172 |
context(item->context), |
|
3173 |
arg_count_order(item->arg_count_order), |
|
3174 |
arg_count_field(item->arg_count_field), |
|
3175 |
count_cut_values(item->count_cut_values), |
|
3176 |
distinct(item->distinct), |
|
3177 |
warning_for_row(item->warning_for_row), |
|
3178 |
always_null(item->always_null), |
|
3179 |
force_copy_fields(item->force_copy_fields), |
|
3180 |
original(item) |
|
3181 |
{
|
|
3182 |
quick_group= item->quick_group; |
|
3183 |
result.set_charset(collation.collation); |
|
3184 |
}
|
|
3185 |
||
3186 |
||
3187 |
||
3188 |
void Item_func_group_concat::cleanup() |
|
3189 |
{
|
|
3190 |
DBUG_ENTER("Item_func_group_concat::cleanup"); |
|
3191 |
Item_sum::cleanup(); |
|
3192 |
||
3193 |
/* Adjust warning message to include total number of cut values */
|
|
3194 |
if (warning) |
|
3195 |
{
|
|
3196 |
char warn_buff[MYSQL_ERRMSG_SIZE]; |
|
3197 |
sprintf(warn_buff, ER(ER_CUT_VALUE_GROUP_CONCAT), count_cut_values); |
|
3198 |
warning->set_msg(current_thd, warn_buff); |
|
3199 |
warning= 0; |
|
3200 |
}
|
|
3201 |
||
3202 |
/*
|
|
3203 |
Free table and tree if they belong to this item (if item have not pointer
|
|
3204 |
to original item from which was made copy => it own its objects )
|
|
3205 |
*/
|
|
3206 |
if (!original) |
|
3207 |
{
|
|
3208 |
delete tmp_table_param; |
|
3209 |
tmp_table_param= 0; |
|
3210 |
if (table) |
|
3211 |
{
|
|
3212 |
THD *thd= table->in_use; |
|
3213 |
free_tmp_table(thd, table); |
|
3214 |
table= 0; |
|
3215 |
if (tree) |
|
3216 |
{
|
|
3217 |
delete_tree(tree); |
|
3218 |
tree= 0; |
|
3219 |
}
|
|
3220 |
if (unique_filter) |
|
3221 |
{
|
|
3222 |
delete unique_filter; |
|
3223 |
unique_filter= NULL; |
|
3224 |
}
|
|
3225 |
if (warning) |
|
3226 |
{
|
|
3227 |
char warn_buff[MYSQL_ERRMSG_SIZE]; |
|
3228 |
sprintf(warn_buff, ER(ER_CUT_VALUE_GROUP_CONCAT), count_cut_values); |
|
3229 |
warning->set_msg(thd, warn_buff); |
|
3230 |
warning= 0; |
|
3231 |
}
|
|
3232 |
}
|
|
3233 |
DBUG_ASSERT(tree == 0 && warning == 0); |
|
3234 |
}
|
|
3235 |
DBUG_VOID_RETURN; |
|
3236 |
}
|
|
3237 |
||
3238 |
||
3239 |
Item *Item_func_group_concat::copy_or_same(THD* thd) |
|
3240 |
{
|
|
3241 |
return new (thd->mem_root) Item_func_group_concat(thd, this); |
|
3242 |
}
|
|
3243 |
||
3244 |
||
3245 |
void Item_func_group_concat::clear() |
|
3246 |
{
|
|
3247 |
result.length(0); |
|
3248 |
result.copy(); |
|
3249 |
null_value= TRUE; |
|
3250 |
warning_for_row= FALSE; |
|
3251 |
no_appended= TRUE; |
|
3252 |
if (tree) |
|
3253 |
reset_tree(tree); |
|
3254 |
if (distinct) |
|
3255 |
unique_filter->reset(); |
|
3256 |
/* No need to reset the table as we never call write_row */
|
|
3257 |
}
|
|
3258 |
||
3259 |
||
3260 |
bool Item_func_group_concat::add() |
|
3261 |
{
|
|
3262 |
if (always_null) |
|
3263 |
return 0; |
|
3264 |
copy_fields(tmp_table_param); |
|
3265 |
copy_funcs(tmp_table_param->items_to_copy); |
|
3266 |
||
3267 |
for (uint i= 0; i < arg_count_field; i++) |
|
3268 |
{
|
|
3269 |
Item *show_item= args[i]; |
|
3270 |
if (!show_item->const_item()) |
|
3271 |
{
|
|
3272 |
Field *f= show_item->get_tmp_table_field(); |
|
3273 |
if (f->is_null_in_record((const uchar*) table->record[0])) |
|
3274 |
return 0; // Skip row if it contains null |
|
3275 |
}
|
|
3276 |
}
|
|
3277 |
||
3278 |
null_value= FALSE; |
|
3279 |
bool row_eligible= TRUE; |
|
3280 |
||
3281 |
if (distinct) |
|
3282 |
{
|
|
3283 |
/* Filter out duplicate rows. */
|
|
3284 |
uint count= unique_filter->elements_in_tree(); |
|
3285 |
unique_filter->unique_add(table->record[0] + table->s->null_bytes); |
|
3286 |
if (count == unique_filter->elements_in_tree()) |
|
3287 |
row_eligible= FALSE; |
|
3288 |
}
|
|
3289 |
||
3290 |
TREE_ELEMENT *el= 0; // Only for safety |
|
3291 |
if (row_eligible && tree) |
|
3292 |
el= tree_insert(tree, table->record[0] + table->s->null_bytes, 0, |
|
3293 |
tree->custom_arg); |
|
3294 |
/*
|
|
3295 |
If the row is not a duplicate (el->count == 1)
|
|
3296 |
we can dump the row here in case of GROUP_CONCAT(DISTINCT...)
|
|
3297 |
instead of doing tree traverse later.
|
|
3298 |
*/
|
|
3299 |
if (row_eligible && !warning_for_row && |
|
3300 |
(!tree || (el->count == 1 && distinct && !arg_count_order))) |
|
3301 |
dump_leaf_key(table->record[0] + table->s->null_bytes, 1, this); |
|
3302 |
||
3303 |
return 0; |
|
3304 |
}
|
|
3305 |
||
3306 |
||
3307 |
bool
|
|
3308 |
Item_func_group_concat::fix_fields(THD *thd, Item **ref) |
|
3309 |
{
|
|
3310 |
uint i; /* for loop variable */ |
|
3311 |
DBUG_ASSERT(fixed == 0); |
|
3312 |
||
3313 |
if (init_sum_func_check(thd)) |
|
3314 |
return TRUE; |
|
3315 |
||
3316 |
maybe_null= 1; |
|
3317 |
||
3318 |
/*
|
|
3319 |
Fix fields for select list and ORDER clause
|
|
3320 |
*/
|
|
3321 |
||
3322 |
for (i=0 ; i < arg_count ; i++) |
|
3323 |
{
|
|
3324 |
if ((!args[i]->fixed && |
|
3325 |
args[i]->fix_fields(thd, args + i)) || |
|
3326 |
args[i]->check_cols(1)) |
|
3327 |
return TRUE; |
|
3328 |
}
|
|
3329 |
||
3330 |
if (agg_item_charsets(collation, func_name(), |
|
3331 |
args, |
|
3332 |
/* skip charset aggregation for order columns */
|
|
3333 |
arg_count - arg_count_order, |
|
3334 |
MY_COLL_ALLOW_CONV, 1)) |
|
3335 |
return 1; |
|
3336 |
||
3337 |
result.set_charset(collation.collation); |
|
3338 |
result_field= 0; |
|
3339 |
null_value= 1; |
|
3340 |
max_length= thd->variables.group_concat_max_len; |
|
3341 |
||
3342 |
uint32 offset; |
|
3343 |
if (separator->needs_conversion(separator->length(), separator->charset(), |
|
3344 |
collation.collation, &offset)) |
|
3345 |
{
|
|
3346 |
uint32 buflen= collation.collation->mbmaxlen * separator->length(); |
|
3347 |
uint errors, conv_length; |
|
3348 |
char *buf; |
|
3349 |
String *new_separator; |
|
3350 |
||
3351 |
if (!(buf= (char*) thd->stmt_arena->alloc(buflen)) || |
|
3352 |
!(new_separator= new(thd->stmt_arena->mem_root) |
|
3353 |
String(buf, buflen, collation.collation))) |
|
3354 |
return TRUE; |
|
3355 |
||
3356 |
conv_length= copy_and_convert(buf, buflen, collation.collation, |
|
3357 |
separator->ptr(), separator->length(), |
|
3358 |
separator->charset(), &errors); |
|
3359 |
new_separator->length(conv_length); |
|
3360 |
separator= new_separator; |
|
3361 |
}
|
|
3362 |
||
3363 |
if (check_sum_func(thd, ref)) |
|
3364 |
return TRUE; |
|
3365 |
||
3366 |
fixed= 1; |
|
3367 |
return FALSE; |
|
3368 |
}
|
|
3369 |
||
3370 |
||
3371 |
bool Item_func_group_concat::setup(THD *thd) |
|
3372 |
{
|
|
3373 |
List<Item> list; |
|
3374 |
SELECT_LEX *select_lex= thd->lex->current_select; |
|
3375 |
DBUG_ENTER("Item_func_group_concat::setup"); |
|
3376 |
||
3377 |
/*
|
|
3378 |
Currently setup() can be called twice. Please add
|
|
3379 |
assertion here when this is fixed.
|
|
3380 |
*/
|
|
3381 |
if (table || tree) |
|
3382 |
DBUG_RETURN(FALSE); |
|
3383 |
||
3384 |
if (!(tmp_table_param= new TMP_TABLE_PARAM)) |
|
3385 |
DBUG_RETURN(TRUE); |
|
3386 |
||
3387 |
/* We'll convert all blobs to varchar fields in the temporary table */
|
|
3388 |
tmp_table_param->convert_blob_length= max_length * |
|
3389 |
collation.collation->mbmaxlen; |
|
3390 |
/* Push all not constant fields to the list and create a temp table */
|
|
3391 |
always_null= 0; |
|
3392 |
for (uint i= 0; i < arg_count_field; i++) |
|
3393 |
{
|
|
3394 |
Item *item= args[i]; |
|
3395 |
if (list.push_back(item)) |
|
3396 |
DBUG_RETURN(TRUE); |
|
3397 |
if (item->const_item()) |
|
3398 |
{
|
|
3399 |
if (item->is_null()) |
|
3400 |
{
|
|
3401 |
always_null= 1; |
|
3402 |
DBUG_RETURN(FALSE); |
|
3403 |
}
|
|
3404 |
}
|
|
3405 |
}
|
|
3406 |
||
3407 |
List<Item> all_fields(list); |
|
3408 |
/*
|
|
3409 |
Try to find every ORDER expression in the list of GROUP_CONCAT
|
|
3410 |
arguments. If an expression is not found, prepend it to
|
|
3411 |
"all_fields". The resulting field list is used as input to create
|
|
3412 |
tmp table columns.
|
|
3413 |
*/
|
|
3414 |
if (arg_count_order && |
|
3415 |
setup_order(thd, args, context->table_list, list, all_fields, *order)) |
|
3416 |
DBUG_RETURN(TRUE); |
|
3417 |
||
3418 |
count_field_types(select_lex, tmp_table_param, all_fields, 0); |
|
3419 |
tmp_table_param->force_copy_fields= force_copy_fields; |
|
3420 |
DBUG_ASSERT(table == 0); |
|
3421 |
if (arg_count_order > 0 || distinct) |
|
3422 |
{
|
|
3423 |
/*
|
|
3424 |
Currently we have to force conversion of BLOB values to VARCHAR's
|
|
3425 |
if we are to store them in TREE objects used for ORDER BY and
|
|
3426 |
DISTINCT. This leads to truncation if the BLOB's size exceeds
|
|
3427 |
Field_varstring::MAX_SIZE.
|
|
3428 |
*/
|
|
3429 |
set_if_smaller(tmp_table_param->convert_blob_length, |
|
3430 |
Field_varstring::MAX_SIZE); |
|
3431 |
||
3432 |
/*
|
|
3433 |
Force the create_tmp_table() to convert BIT columns to INT
|
|
3434 |
as we cannot compare two table records containg BIT fields
|
|
3435 |
stored in the the tree used for distinct/order by.
|
|
3436 |
Moreover we don't even save in the tree record null bits
|
|
3437 |
where BIT fields store parts of their data.
|
|
3438 |
*/
|
|
3439 |
List_iterator_fast<Item> li(all_fields); |
|
3440 |
Item *item; |
|
3441 |
while ((item= li++)) |
|
3442 |
{
|
|
3443 |
if (item->type() == Item::FIELD_ITEM && |
|
3444 |
((Item_field*) item)->field->type() == FIELD_TYPE_BIT) |
|
3445 |
item->marker= 4; |
|
3446 |
}
|
|
3447 |
}
|
|
3448 |
||
3449 |
/*
|
|
3450 |
We have to create a temporary table to get descriptions of fields
|
|
3451 |
(types, sizes and so on).
|
|
3452 |
||
3453 |
Note that in the table, we first have the ORDER BY fields, then the
|
|
3454 |
field list.
|
|
3455 |
*/
|
|
3456 |
if (!(table= create_tmp_table(thd, tmp_table_param, all_fields, |
|
3457 |
(ORDER*) 0, 0, TRUE, |
|
3458 |
(select_lex->options | thd->options), |
|
3459 |
HA_POS_ERROR, (char*) ""))) |
|
3460 |
DBUG_RETURN(TRUE); |
|
3461 |
table->file->extra(HA_EXTRA_NO_ROWS); |
|
3462 |
table->no_rows= 1; |
|
3463 |
||
3464 |
/*
|
|
3465 |
Need sorting or uniqueness: init tree and choose a function to sort.
|
|
3466 |
Don't reserve space for NULLs: if any of gconcat arguments is NULL,
|
|
3467 |
the row is not added to the result.
|
|
3468 |
*/
|
|
3469 |
uint tree_key_length= table->s->reclength - table->s->null_bytes; |
|
3470 |
||
3471 |
if (arg_count_order) |
|
3472 |
{
|
|
3473 |
tree= &tree_base; |
|
3474 |
/*
|
|
3475 |
Create a tree for sorting. The tree is used to sort (according to the
|
|
3476 |
syntax of this function). If there is no ORDER BY clause, we don't
|
|
3477 |
create this tree.
|
|
3478 |
*/
|
|
3479 |
init_tree(tree, (uint) min(thd->variables.max_heap_table_size, |
|
3480 |
thd->variables.sortbuff_size/16), 0, |
|
3481 |
tree_key_length, |
|
3482 |
group_concat_key_cmp_with_order , 0, NULL, (void*) this); |
|
3483 |
}
|
|
3484 |
||
3485 |
if (distinct) |
|
3486 |
unique_filter= new Unique(group_concat_key_cmp_with_distinct, |
|
3487 |
(void*)this, |
|
3488 |
tree_key_length, |
|
3489 |
thd->variables.max_heap_table_size); |
|
3490 |
||
3491 |
DBUG_RETURN(FALSE); |
|
3492 |
}
|
|
3493 |
||
3494 |
||
3495 |
/* This is used by rollup to create a separate usable copy of the function */
|
|
3496 |
||
3497 |
void Item_func_group_concat::make_unique() |
|
3498 |
{
|
|
3499 |
tmp_table_param= 0; |
|
3500 |
table=0; |
|
3501 |
original= 0; |
|
3502 |
force_copy_fields= 1; |
|
3503 |
tree= 0; |
|
3504 |
}
|
|
3505 |
||
3506 |
||
3507 |
String* Item_func_group_concat::val_str(String* str) |
|
3508 |
{
|
|
3509 |
DBUG_ASSERT(fixed == 1); |
|
3510 |
if (null_value) |
|
3511 |
return 0; |
|
3512 |
if (no_appended && tree) |
|
3513 |
/* Tree is used for sorting as in ORDER BY */
|
|
3514 |
tree_walk(tree, (tree_walk_action)&dump_leaf_key, (void*)this, |
|
3515 |
left_root_right); |
|
3516 |
if (count_cut_values && !warning) |
|
3517 |
{
|
|
3518 |
/*
|
|
3519 |
ER_CUT_VALUE_GROUP_CONCAT needs an argument, but this gets set in
|
|
3520 |
Item_func_group_concat::cleanup().
|
|
3521 |
*/
|
|
3522 |
DBUG_ASSERT(table); |
|
3523 |
warning= push_warning(table->in_use, MYSQL_ERROR::WARN_LEVEL_WARN, |
|
3524 |
ER_CUT_VALUE_GROUP_CONCAT, |
|
3525 |
ER(ER_CUT_VALUE_GROUP_CONCAT)); |
|
3526 |
}
|
|
3527 |
return &result; |
|
3528 |
}
|
|
3529 |
||
3530 |
||
3531 |
void Item_func_group_concat::print(String *str, enum_query_type query_type) |
|
3532 |
{
|
|
3533 |
str->append(STRING_WITH_LEN("group_concat(")); |
|
3534 |
if (distinct) |
|
3535 |
str->append(STRING_WITH_LEN("distinct ")); |
|
3536 |
for (uint i= 0; i < arg_count_field; i++) |
|
3537 |
{
|
|
3538 |
if (i) |
|
3539 |
str->append(','); |
|
3540 |
args[i]->print(str, query_type); |
|
3541 |
}
|
|
3542 |
if (arg_count_order) |
|
3543 |
{
|
|
3544 |
str->append(STRING_WITH_LEN(" order by ")); |
|
3545 |
for (uint i= 0 ; i < arg_count_order ; i++) |
|
3546 |
{
|
|
3547 |
if (i) |
|
3548 |
str->append(','); |
|
3549 |
(*order[i]->item)->print(str, query_type); |
|
3550 |
if (order[i]->asc) |
|
3551 |
str->append(STRING_WITH_LEN(" ASC")); |
|
3552 |
else
|
|
3553 |
str->append(STRING_WITH_LEN(" DESC")); |
|
3554 |
}
|
|
3555 |
}
|
|
3556 |
str->append(STRING_WITH_LEN(" separator \'")); |
|
3557 |
str->append(*separator); |
|
3558 |
str->append(STRING_WITH_LEN("\')")); |
|
3559 |
}
|
|
3560 |
||
3561 |
||
3562 |
Item_func_group_concat::~Item_func_group_concat() |
|
3563 |
{
|
|
3564 |
if (!original && unique_filter) |
|
3565 |
delete unique_filter; |
|
3566 |
}
|