【MySQL 源码】UNION 比 UNION ALL 的性能差很多吗?
2022/7/13 2:21:43
本文主要是介绍【MySQL 源码】UNION 比 UNION ALL 的性能差很多吗?，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！
原文地址: 【MySQL 源码】UNION 比 UNION ALL 的性能差很多吗?
欢迎访问我的个人博客: http://blog.duhbb.com/
引言
本文从源码角度分析了一下 MySQL 中 union 和 union all 的区别;得出了以下结论: union 和 union all 都会创建临时表, 但是又不太一样; 二者的查询计划不一样;union 默认会创建一个以返回列作为 key 的临时表, 所谓过滤就是将数据插入这个临时表; 临时表装数据的容器实际上是一个 unordered_set; 有一种存储引擎叫做临时表; union all 则是直接读取表的数据并返回给客户端, 不走临时表; union all 和 union 的场景还是得根据需要来判断, 如果没有 distinct 的需求话, 数据又不多, 可以考虑使用 union all.
Union 和 Union All 的区别
Union 和 Union All 之间的唯一区别是 Union All 不会删除重复的行或记录, 而是从所有表中选择满足您的具体查询条件的所有行并将它们组合到结果表中.
UNION 不适用于具有文本数据类型的列. 而 UNION ALL 适用于所有数据类型列.
MySQL 官方介绍
MySQL 官方文档在介绍 12.5 Non-Subquery UNION Execution 是这么说的:
非子查询联合 (non-subquery unions) 是在 mysql_union() 的帮助下完成的.
目前, 它分为以下步骤:
st_select_lex_unit::prepare(对于对单个 SELECT 的派生表可以调用相同的过程, 我们在此过程中支持它, 但我们不会在这里描述它):- 创建
select_union(继承自select_result), 将在此临时表中写入选择结果, 临时表条目为空. 我们将需要在这个对象存储在它上面的每个 JOIN 结构, 但我们 (还没有) 临时表结构. - 分配 JOIN 结构并为每个 SELECT 执行 JOIN::prepare() 以获取有关 SELECT 列表元素类型 (结果) 的完整信息. 在此循环中完成合并结果字段类型以及存储在特殊项目 ( Item_type_holder) 中. 此操作的结果 (结果字段类型列表) 将存储在
st_select_lex_unit::types中. - 创建一个临时表用于存储联合结果 (如果 UNION 没有 ALL 选项, 'distinct' 参数将传递给表创建过程).
- 为第一步中创建 select_union 的对象分配一个临时表 .
- 创建
st_select_lex_unit::exec- 如果这不是第一次调用, 从临时表中删除行.
- 如果这是第一次调用, 则调用
JOIN::optimize, 否则调用JOIN::reinit, 然后为所有的 SELECT 调用JOIN::exec(select_union 将为临时表写入结果). 如果联合是可缓存的并且这不是第一次调用, 则该方法将什么也不做. - 从所有 SELECT 收集结果后, 对临时表调用具有全局 ORDER BY 和 LIMIT 参数的 mysql_select. 为每个 UNION 创建的特殊的 fake_select_lex (SELECT_LEX) 将会传给个过程 (如果在查询中使用了括号, 那么 SELECT_LEX 也会存储全局的 ORDER BY 和 LIMIT 参数).
官方文档有点坑啊, 我都没有这两个方法: st_select_lex_unit::prepare, st_select_lex_unit::exec.
调试跟踪
在 sql_union.cc 943 行, 这个文件中有个方法:
void Query_expression::create_access_paths(THD *thd) {
// 确定我们是否可以流式读取行, 即永远不需要将它们放到临时表中
// 如果可以的话, 我们会首先物化 UNION DISTINCT blocks, 然后将剩余任何 UNION ALL block
// 通过 AppendIterator 追加.
//
// 如果不能流式的话, 即每个块都必须进入临时表
// 我们对于混合的 UNION ALL/DISTINCT 的策略有点不同
// 详情见 MaterializeIterator.
bool streaming_allowed = true;
if (global_parameters()->order_list.size() != 0) {
// If we're sorting, we currently put it in a real table no matter what.
// This is a legacy decision, because we used to not know whether filesort
// would want to refer to rows in the table after the sort (sort by row ID).
// We could probably be more intelligent here now.
streaming_allowed = false;
}
// 省略前面
// 如果允许流式查询, 那么我们可以对 UNION ALL 的每个部分都做流式查询,
// 而其他情况则都需要用到临时表.
//
// 处理我们需要物化的所有的 query block.
// 这个可能是 UNION DISTINCT 的 query block 或者所有的 block.
if (union_distinct != nullptr || ! streaming_allowed) {
Mem_root_array<MaterializePathParameters::QueryBlock> query_blocks =
setup_materialization(thd, tmp_table, streaming_allowed);
// 省略后面
光看代码感觉一头雾水, 还是 debug 一下吧.
if (! simple_query_expression) {
/*
Check that it was possible to aggregate all collations together for UNION.
We need this in case of UNION DISTINCT, to filter out duplicates using
the proper collation.
TODO: consider removing this test in case of UNION ALL.
*/
for (Item *type : types) {
if (type->result_type() == STRING_RESULT &&
type->collation.derivation == DERIVATION_NONE) {
my_error(ER_CANT_AGGREGATE_NCOLLATIONS, MYF(0), "UNION");
return true;
}
}
ulonglong create_options =
first_query_block()->active_options() | TMP_TABLE_ALL_COLUMNS;
if (union_result->create_result_table(thd, types, union_distinct != nullptr,
create_options, "", false,
instantiate_tmp_table))
这里执行的语句是:
select * from student union select * from student;
可以看到这里确实创建了临时表, 是在 sql_union.cc 这个文件的 prepare 方法中:
bool Query_expression::prepare(THD *thd, Query_result *sel_result,
创建临时表调用的是这个方法:
/**
Create a temp table according to a field list.
Given field pointers are changed to point at tmp_table for
send_result_set_metadata. The table object is self contained: it's
allocated in its own memory root, as well as Field objects
created for table columns. Those Field objects are common to TABLE and
TABLE_SHARE.
This function will replace Item_sum items in 'fields' list with
corresponding Item_field items, pointing at the fields in the
temporary table, unless save_sum_fields is set to false.
The Item_field objects are created in THD memory root.
@param thd thread handle
@param param a description used as input to create the table
@param fields list of items that will be used to define
column types of the table (also see NOTES)
@param group Group key to use for temporary table, NULL if
none
@param distinct should table rows be distinct
@param save_sum_fields see NOTES
@param select_options
@param rows_limit
@param table_alias possible name of the temporary table that can
be used for name resolving; can be "".
@remark mysql_create_view() checks that views have less than
MAX_FIELDS columns.
@remark We may actually end up with a table without any columns at all.
See comment below: We don't have to store this.
*/
#define STRING_TOTAL_LENGTH_TO_PACK_ROWS 128
#define AVG_STRING_LENGTH_TO_PACK_ROWS 64
#define RATIO_TO_PACK_ROWS 2
TABLE *create_tmp_table(THD *thd, Temp_table_param *param,
const mem_root_deque<Item *> &fields, ORDER *group,
bool distinct, bool save_sum_fields,
ulonglong select_options, ha_rows rows_limit,
const char *table_alias) {
其中有一段代码是这样的:
} else if (distinct && share->fields != param->hidden_field_count) {
/*
Create an unique key or an unique constraint over all columns
that should be in the result. In the temporary table, there are
'param->hidden_field_count' extra columns, whose null bits are stored
in the first 'hidden_null_pack_length' bytes of the row.
*/
DBUG_PRINT("info", ("hidden_field_count: %d", param->hidden_field_count));
share->keys = 1;
share->is_distinct = true;
if (! unique_constraint_via_hash_field) {
param->keyinfo->table = table;
param->keyinfo->is_visible = true;
param->keyinfo->user_defined_key_parts =
share->fields - param->hidden_field_count;
param->keyinfo->actual_key_parts = param->keyinfo->user_defined_key_parts;
KEY_PART_INFO *key_part_info = share->mem_root.ArrayAlloc<KEY_PART_INFO>(
param->keyinfo->user_defined_key_parts);
if (key_part_info == nullptr) return nullptr;
param->keyinfo->key_part = key_part_info;
param->keyinfo->flags = HA_NOSAME | HA_NULL_ARE_EQUAL;
param->keyinfo->actual_flags = param->keyinfo->flags;
param->keyinfo->name = "<auto_distinct_key>";
// keyinfo->algorithm is set later, when storage engine is known
param->keyinfo->set_rec_per_key_array(nullptr, nullptr);
param->keyinfo->set_in_memory_estimate(IN_MEMORY_ESTIMATE_UNKNOWN);
/* 关键之处: 给我们想要返回的列搞一个整体的 distinct key */
for (unsigned i = param->hidden_field_count; i < share->fields;
i++, key_part_info++) {
key_part_info->init_from_field(table->field[i]);
if (key_part_info->store_length > max_key_part_length) {
unique_constraint_via_hash_field = true;
break;
}
}
table->key_info = param->keyinfo;
share->key_info = param->keyinfo;
share->key_parts = param->keyinfo->user_defined_key_parts;
}
}
感觉从这里似乎理解了 MySQL 是如何做过滤的了, 它会创建一个临时表, 然后给要返回的字段建一个 distinct key, 如此一来临时表也会有索引咯? 然后再插入这个表的时候判断是否已经有相同的列了? 拭目以待吧!
果然, 调试的时候跟踪到了这里:
Hash_unique::Hash_unique(const Table &table, const KEY &mysql_index,
const Allocator<Indexed_cells> &allocator)
: Index(table, mysql_index),
m_hash_table(INDEX_DEFAULT_HASH_TABLE_BUCKETS, Indexed_cells_hash(*this),
Indexed_cells_equal_to(*this), allocator) {}
Result Hash_unique::insert(const Indexed_cells &indexed_cells,
Cursor *insert_position) {
std::pair<Container::iterator, bool> r;
try {
// m_hash_table 就是个 unordered_set
r = m_hash_table.emplace(indexed_cells);
} catch (Result ex) {
return ex;
}
auto &pos = r.first;
const bool new_element_inserted = r.second;
// 就是这里了, 判断是否插入成功
if (! new_element_inserted) {
return Result::FOUND_DUPP_KEY;
}
*insert_position = Cursor(pos);
return Result::OK;
}
上面这个代码的路径是在: /Users/tuhooo/mysql-server/storage/temptable/src/index.cc
贴个图片纪念一下:
它喵的, 这个临时表保存记录其实就是用了一个 unordered_set, 笑哭!
/**
* @brief Attempts to build and insert an element into the
* %unordered_set.
* @param __args Arguments used to generate an element.
* @return A pair, of which the first element is an iterator that points
* to the possibly inserted element, and the second is a bool
* that is true if the element was actually inserted.
*
* This function attempts to build and insert an element into the
* %unordered_set. An %unordered_set relies on unique keys and thus an
* element is only inserted if it is not already present in the
* %unordered_set.
*
* Insertion requires amortized constant time.
*/
template<typename... _Args>
std::pair<iterator, bool>
emplace(_Args&&... __args)
{ return _M_h.emplace(std::forward<_Args>(__args)...); }
临时表其实是一种存储引擎.
本质上还是创建的查询计划不一样, 就是在下边这段代码了:
m_root_iterator = CreateIteratorFromAccessPath(
thd, m_root_access_path, join, /*eligible_for_batch_mode=*/true);
if (m_root_iterator == nullptr) {
return true;
}
它来自于: sql_union.cc 中的 optimize 方法:
bool Query_expression::optimize(THD *thd, TABLE *materialize_destination,
bool create_iterators,
bool finalize_access_paths) {
查询计划
union all
mysql> explain select * from student union all select * from student \G;
*************************** 1. row ***************************
id: 1
select_type: PRIMARY
table: student
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 1
filtered: 100.00
Extra: NULL
*************************** 2. row ***************************
id: 2
select_type: UNION
table: student
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 1
filtered: 100.00
Extra: NULL
2 rows in set, 1 warning (6.53 sec)
ERROR:
No query specified
mysql> show warnings;
+-------+------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Level | Code | Message |
+-------+------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Note | 1003 | /* select#1 */ select `test`.`student`.`id` AS `id`,`test`.`student`.`name` AS `name`,`test`.`student`.`phone` AS `phone` from `test`.`student` union all /* select#2 */ select `test`.`student`.`id` AS `id`,`test`.`student`.`name` AS `name`,`test`.`student`.`phone` AS `phone` from `test`.`student` |
+-------+------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (3.24 sec)
union
mysql> explain select * from student union select * from student \G;
*************************** 1. row ***************************
id: 1
select_type: PRIMARY
table: student
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 1
filtered: 100.00
Extra: NULL
*************************** 2. row ***************************
id: 2
select_type: UNION
table: student
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 1
filtered: 100.00
Extra: NULL
*************************** 3. row ***************************
id: NULL
select_type: UNION RESULT
table: <union1,2>
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: NULL
filtered: NULL
Extra: Using temporary
3 rows in set, 1 warning (7.19 sec)
ERROR:
No query specified
mysql> show warnings;
+-------+------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Level | Code | Message |
+-------+------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Note | 1003 | /* select#1 */ select `test`.`student`.`id` AS `id`,`test`.`student`.`name` AS `name`,`test`.`student`.`phone` AS `phone` from `test`.`student` union /* select#2 */ select `test`.`student`.`id` AS `id`,`test`.`student`.`name` AS `name`,`test`.`student`.`phone` AS `phone` from `test`.`student` |
+-------+------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (4.04 sec)
嘿嘿, 刚好又把我之前学的一点点 explain 知识给串起来了.
Extra: Using temporary 表示使用了临时表.
Using temporary
为了解析查询, MySQL 需要创建一个临时表来保存结果. 如果查询包含以不同方式列出列的 GROUP BY 和 ORDER BY 子句, 通常会发生这种情况.
如果对于查询计划不熟悉的, 可以参考我翻译和整理的这篇博客: 【MySQL 文档翻译】理解查询计划
总结
- union 和 union all 都会创建临时表, 但是又不太一样
- 二者的查询计划不一样
- union 默认会创建一个以返回列作为 key 的临时表, 所谓过滤就是将数据插入这个临时表
- 临时表装数据的容器实际上是一个 unordered_set
- 有一种存储引擎叫做临时表
- union all 则是直接读取表的数据并返回给客户端, 不走临时表
- union all 和 union 的场景还是得根据需要来判断, 如果没有 distinct 的需求话, 数据又不多, 可以考虑使用 union all
原文地址: 【MySQL 源码】UNION 比 UNION ALL 的性能差很多吗?
欢迎访问我的个人博客: http://blog.duhbb.com/
这篇关于【MySQL 源码】UNION 比 UNION ALL 的性能差很多吗?的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！
- 2024-12-25如何部署MySQL集群资料：新手入门教程
- 2024-12-24MySQL集群部署资料：新手入门教程
- 2024-12-24MySQL集群资料详解：新手入门教程
- 2024-12-24MySQL集群部署入门教程
- 2024-12-24部署MySQL集群学习：新手入门教程
- 2024-12-24部署MySQL集群入门：一步一步搭建指南
- 2024-12-07MySQL读写分离入门：轻松掌握数据库读写分离技术
- 2024-12-07MySQL读写分离入门教程
- 2024-12-07MySQL分库分表入门详解
- 2024-12-07MySQL分库分表入门指南
