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Solución:
EDITAR: Si bien no es un equivalente directo o tan detallado como Explicar Analizar, aquí hay algunas herramientas que puede ver
mysql ofrece EXPLAIN y análisis de procedimientos ()
http://dev.mysql.com/doc/refman/5.0/en/explain.html
http://dev.mysql.com/doc/refman/5.0/en/procedure-analyse.html
No he usado PostgreSQL antes de que MySQL tenga EXPLAIN EXTENDED que da más información que EXPLAIN y puede darle la información que está buscando.
EXPLAIN EXTENDED
MariaDB/MySQL proporciona algo llamado EXPLAIN EXTENDED. Sin embargo, no hay sustituto para EXPLAIN ANALYZE. EXPLAIN EXTENDED no proporciona información de tiempo en absoluto, y el desglose interno es mucho menos detallado.
Name: 'EXPLAIN'
Description:
Syntax:
EXPLAIN [explain_type] SELECT select_options
explain_type:
EXTENDED
| PARTITIONS
Or:
EXPLAIN tbl_name
The EXPLAIN statement can be used either as a way to obtain information
about how MySQL executes a statement, or as a synonym for DESCRIBE:
o When you precede a SELECT statement with the keyword EXPLAIN, MySQL
displays information from the optimizer about the query execution
plan. That is, MySQL explains how it would process the statement,
including information about how tables are joined and in which order.
EXPLAIN EXTENDED can be used to obtain additional information.
For information about using EXPLAIN and EXPLAIN EXTENDED to obtain
query execution plan information, see
https://mariadb.com/kb/en/explain/.
o EXPLAIN PARTITIONS is useful only when examining queries involving
partitioned tables. For details, see
http://dev.mysql.com/doc/refman/5.5/en/partitioning-info.html.
o EXPLAIN tbl_name is synonymous with DESCRIBE tbl_name or SHOW COLUMNS
FROM tbl_name. For information about DESCRIBE and SHOW COLUMNS, see
[HELP DESCRIBE], and [HELP SHOW COLUMNS].
URL: https://mariadb.com/kb/en/explain/
Por ejemplo, esto se toma de este ejemplo,
EXPLAIN ANALYZE SELECT *
FROM history AS h1
WHERE EXISTS (
SELECT 1
FROM history AS h2
WHERE h1.lead_id = h2.lead_id
GROUP BY lead_id
HAVING count(is_first OR NULL) > 1
);
Producirá algo como esto en PostgreSQL,
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------
Seq Scan on history h1 (cost=0.00..82680.50 rows=1100 width=9) (actual time=0.048..0.065 rows=3 loops=1)
Filter: (SubPlan 1)
Rows Removed by Filter: 3
SubPlan 1
-> GroupAggregate (cost=0.00..37.57 rows=1 width=5) (actual time=0.007..0.007 rows=0 loops=6)
Group Key: h2.lead_id
Filter: (count((h2.is_first OR NULL::boolean)) > 1)
Rows Removed by Filter: 0
-> Seq Scan on history h2 (cost=0.00..37.50 rows=11 width=5) (actual time=0.003..0.004 rows=2 loops=6)
Filter: (h1.lead_id = lead_id)
Rows Removed by Filter: 4
Planning time: 0.149 ms
Execution time: 0.123 ms
(13 rows)
Si bien este es el equivalente de MySQL,
+------+--------------------+-------+------+---------------+------+---------+------+------+----------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+------+--------------------+-------+------+---------------+------+---------+------+------+----------+-------------+
| 1 | PRIMARY | h1 | ALL | NULL | NULL | NULL | NULL | 6 | 100.00 | Using where |
| 2 | DEPENDENT SUBQUERY | h2 | ALL | NULL | NULL | NULL | NULL | 6 | 100.00 | Using where |
+------+--------------------+-------+------+---------------+------+---------+------+------+----------+-------------+
2 rows in set, 2 warnings (0.00 sec)
Si te sientes impulsado, tienes la libertad de dejar una reseña acerca de qué te ha gustado de este tutorial.