Valeriy has mentioned that MySQL manual has no documentation about EXPLAIN FORMAT=JSON feature. There was a bug filed for this since September, 2012. I had spent some time looking at EXPLAIN FORMAT=JSON, so I thought I would share my findings.
The first blog post about EXPLAIN FORMAT=JSON was made by Sheeri. She listed these features of FORMAT=JSON:
- attached_condition and implicit casts
- used_key_parts field
In addition to those, I was able to find
- Pushed index condition information
- More information about sorting/grouping
- Subquery attachment points information
Let’s look at these in greater detail:
Pushed index condition information
This is very similar to conditions attached to tables – instead of “Using index condition” one can see the pushed condition itself:
explain format=json select * from Country where Name like 'p%' and Population > 3*1000*1000;
"query_block": {
"select_id": 1,
"table": {
"table_name": "Country",
"access_type": "range",
"possible_keys": [
"Name",
"Population"
],
"key": "Name",
"used_key_parts": [
"Name"
],
"key_length": "52",
"rows": 12,
"filtered": 100,
"index_condition": "(`world`.`Country`.`Name` like 'p%')",
"attached_condition": "(`world`.`Country`.`Population` > (((3 * 1000) * 1000)))"
}
}
This is very useful. I wish the condition was printed without the over-quoting of every identifier.
More information about sorting/grouping
The old “Using temporary; Using filesort” was replaced with ordering_operation and grouping_operation nodes. The nodes always have using_filesort attribute, and may optionally have using_temporary_table attribute.
explain format=json select * from City order by Population desc limit 1;
*************************** 1. row ***************************
EXPLAIN: {
"query_block": {
"select_id": 1,
"ordering_operation": {
"using_filesort": true,
"table": {
"table_name": "City",
"access_type": "ALL",
"rows": 4249,
"filtered": 100
}
}
}
}
This provides slightly more information than the old “Using temporary; Using filesort” line. In the following example, one can see that “Using temporary” is done to handle GROUP BY, while filesort is used for GROUP BY:
explain format=json
select sum(population) as city_ppl, Country
from City
group by Country
order by city_ppl desc;
*************************** 1. row ***************************
EXPLAIN: {
"query_block": {
"select_id": 1,
"ordering_operation": {
"using_filesort": true,
"grouping_operation": {
"using_temporary_table": true,
"using_filesort": false,
"table": {
"table_name": "City",
"access_type": "ALL",
"rows": 4409,
"filtered": 100
}
}
}
}
}
It is also possible to encounter ordering_operation with using_filesort:false, which means that the optimizer relies on the query plan to produce the data in required ordering.
Subquery attachment points
EXPLAIN FORMAT=JSON shows where the subqueries are attached to queries. In tabular form, you see something like this:
+----+--------------------+-----------+------+---------------+------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------------+-----------+------+---------------+------+---------+------+------+-------------+
| 1 | PRIMARY | Country | ALL | Name | NULL | NULL | NULL | 165 | Using where |
| 3 | SUBQUERY | satellite | ALL | NULL | NULL | NULL | NULL | 1041 | NULL |
| 2 | DEPENDENT SUBQUERY | City | ALL | NULL | NULL | NULL | NULL | 4409 | Using where |
+----+--------------------+-----------+------+---------------+------+---------+------+------+-------------+
and it is not apparent how subqueries are attached to queries. For basic queries, this is not a problem – just look at the query. However, if the query has VIEWs or FROM clause subqueries, it may be difficult to recognize the query plan structure. In any case, with EXPLAIN FORMAT=JSON, subqueries look like this:
*************************** 1. row ***************************
EXPLAIN: {
"query_block": {
"select_id": 1,
"table": {
"table_name": "Country",
"access_type": "range",
"possible_keys": [
"Name"
],
"key": "Name",
"used_key_parts": [
"Name"
],
"key_length": "52",
"rows": 2,
"filtered": 100,
"index_condition": "(`world`.`Country`.`Name` in ('France','Germany'))"
},
"select_list_subqueries": [
{
"dependent": true,
"cacheable": false,
"query_block": {
"select_id": 2,
"table": {
"table_name": "City",
"access_type": "ALL",
"rows": 4409,
"filtered": 100,
"attached_condition": "(`world`.`City`.`Country` = `world`.`Country`.`Code`)"
}
}
}
]
}
}
which makes it more apparent where the subquery is attached and how often it is re-executed.
My personal impressions
EXPLAIN FORMAT=JSON looks like a project that was started with good intents but wasn’t finished. I’ve found a couple of bugs by just playing around (1, 2). A number of things look out of place:
- “Range checked for each record” still displays “index map: 0xNNNN”, leaving one to do binary arithmetic with index numbers to figure out which indexes will be checked
- We’ve got used_key_parts. Is there any need to print key_length anymore?
- index_merge is still described with notation like key=”intersect(key1,key2)”, and key_length=”5,5″ (where’s the used_key_parts for it?). This notation was the only way to fit the data into tabular format. With JSON, it would be natural to represent individual index scans as separate JSON objects
- If a subquery is part of WHERE clause, attached_condition will print the whole subquery. That is, subquery’s WHERE condition is printed both in the parent query and in the subquery. This is redundant and annoying.
- Items with default value are generally not printed. For example, possible_keys=NULL is not. However, using_filesort:false is printed, and so is filtered:100, which means no filtering happened. Why?
Overall, I don’t quite understand what EXPLAIN FORMAT=JSON was targeted at. If EXPLAIN FORMAT=JSON was targeted at humans, I would expect a more user-friendly output. Don’t print redundant information, don’t do redundant quoting, do a better job at indenting the JSON output.
If EXPLAIN FORMAT=JSON was targeted at machines, I would expect it to be fully documented. How can one expect somebody to write programs to process a data format that has no documentation?
Sergei Petrunia's blog 