On this page 
The EXPLAIN statement returns CockroachDB's query plan for an explainable statement. You can then use this information to optimize the query.
Tip:
To actually execute a statement and return a physical query plan with execution statistics, use EXPLAIN ANALYZE.
Query optimization
Using EXPLAIN's output, you can optimize your queries by taking the following points into consideration:
Queries with fewer levels execute more quickly. Restructuring queries to require fewer levels of processing will generally improve performance.
Avoid scanning an entire table, which is the slowest way to access data. You can avoid this by creating indexes that contain at least one of the columns that the query is filtering in its
WHEREclause.New in v20.2: You can disable query plans that perform full table scans with the
disallow_full_table_scanssession variable. Whendisallow_full_table_scans=on, attempting to execute a query with a plan that includes a full table scan will return an error.By default, the vectorized execution engine is enabled for all supported operations. If you are querying a table with a small number of rows, it might be more efficient to use row-oriented execution. The
vectorize_row_count_thresholdcluster setting specifies the minimum number of rows required to use the vectorized engine to execute a query plan.
You can find out if your queries are performing entire table scans by using EXPLAIN to see which:
Indexes the query uses; shown as the Description value of rows with the Field value of
tableKey values in the index are being scanned; shown as the Description value of rows with the Field value of
spans
New in v20.2: You can also see the estimated number of rows that a scan will perform in the Description of the estimated row count Field.
For more information about indexing and table scans, see Find the Indexes and Key Ranges a Query Uses.
Synopsis
Required privileges
The user requires the appropriate privileges for the statement being explained.
Parameters
| Parameter | Description |
|---|---|
VERBOSE |
Show as much information as possible about the query plan. |
TYPES |
Include the intermediate data types CockroachDB chooses to evaluate intermediate SQL expressions. |
OPT |
Display the query plan tree generated by the cost-based optimizer. To include cost details used by the optimizer in planning the query, use OPT, VERBOSE. To include cost and type details, use OPT, TYPES. To include all details used by the optimizer, including statistics, use OPT, ENV. |
VEC |
Show detailed information about the vectorized execution plan for a query. |
preparable_stmt |
The statement you want details about. All preparable statements are explainable. |
DISTSQL |
Generate a URL to a distributed SQL physical query plan tree. The generated physical query plan is encoded into a byte string after the fragment identifier ( #) in the generated URL. The fragment is not sent to the web server; instead, the browser waits for the web server to return a decode.html resource, and then JavaScript on the web page decodes the fragment into a physical query plan diagram. The query plan is, therefore, not logged by a server external to the CockroachDB cluster and not exposed to the public internet. |
Warning:
EXPLAIN also includes other modes besides query plans that are useful only to CockroachDB developers, which are not documented here.
Success responses
Successful EXPLAIN statements return tables with the following columns:
| Column | Description |
|---|---|
| Tree | A tree representation of the hierarchy of the query plan. |
| Field | The name of a property for the query plan. The distribution and vectorized properties apply to the entire query plan. All other properties apply to the query plan node in the Tree column. |
| Description | Additional information about the parameter in Field. |
| Columns | The columns provided to the processes at lower levels of the hierarchy. Included in TYPES and VERBOSE output. |
| Ordering | The order in which results are presented to the processes at each level of the hierarchy, as well as other properties of the result set at each level. Included in TYPES and VERBOSE output. |
Examples
The following examples use the movr example dataset. To follow along:
- Start a single-node cluster:
$ cockroach start-single-node --insecure
- Load the
movrdatabase and some workload data to the cluster:
cockroach workload init movr --num-histories 250000 --num-promo-codes 250000 --num-rides 125000 --num-users 12500 --num-vehicles 3750
Default query plans
By default, EXPLAIN includes the least detail about the query plan but can be useful to find out which indexes and index key ranges are used by a query. For example:
> EXPLAIN SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
tree | field | description
-----------------+---------------------+----------------
| distribution | full
| vectorized | true
sort | |
│ | order | +revenue
└── filter | |
│ | filter | revenue > 90
└── scan | |
| estimated row count | 125000
| table | rides@primary
| spans | FULL SCAN
(10 rows)
The tree column of the output shows the tree structure of the query plan, in this case a sort, a filter, and then a scan.
The field and description columns describe a set of properties, some global to the query, and some specific to an operation listed in the tree column (in this case, sort, filter, or scan):
distribution:full
The planner chose a distributed execution plan, where execution of the query is performed by multiple nodes in parallel, then the final results are returned by the gateway node. An execution plan withfulldistribution doesn't process on all nodes in the cluster. It is executed simultaneously on multiple nodes.
An execution plan withlocaldistribution, on the other hand, is performed only on the gateway node. Even if the execution plan islocal, row data may be fetched from remote nodes, but the processing of the data is performed by the local node.vectorized:false
The plan will be executed with the vectorized execution engine.order:+revenue
The sort will be ordered ascending on therevenuecolumn.filter:revenue > 90
The scan filters on therevenuecolumn.- New in v20.2:
estimated row count:125000
The estimated number of rows scanned by the query, in this case,125000rows of data. table:rides@primary
The table is scanned on theprimaryindex.spans:FULL SCAN
The table is scanned on all key ranges of theprimaryindex (i.e., a full table scan). For more information on indexes and key ranges, see the example below.
If you run EXPLAIN on a join query, the output will display which type of join will be executed. For example, the following EXPLAIN output shows that the query will perform a hash join:
> EXPLAIN SELECT * FROM rides AS r
JOIN users AS u ON r.rider_id = u.id;
tree | field | description
------------+---------------------+--------------------
| distribution | full
| vectorized | true
hash join | |
│ | equality | (rider_id) = (id)
├── scan | |
│ | estimated row count | 125000
│ | table | rides@primary
│ | spans | FULL SCAN
└── scan | |
| estimated row count | 12500
| table | users@primary
| spans | FULL SCAN
(12 rows)
And the following output shows that the query will perform a cross join:
> EXPLAIN SELECT * FROM rides AS r
JOIN users AS u ON r.city = 'new york';
tree | field | description
-------------+---------------------+------------------------------
| distribution | full
| vectorized | true
cross join | |
├── scan | |
│ | estimated row count | 14050
│ | table | rides@primary
│ | spans | [/'new york' - /'new york']
└── scan | |
| estimated row count | 12500
| table | users@primary
| spans | FULL SCAN
(11 rows)
EXPLAIN output for INSERT queries is similar to the output for standard SELECT queries. For example:
> EXPLAIN INSERT INTO users(id, city, name) VALUES ('c28f5c28-f5c2-4000-8000-000000000026', 'new york', 'Petee');
tree | field | description
--------------+--------------+----------------------------------------------
| distribution | local
| vectorized | false
insert | |
│ | into | users(id, city, name, address, credit_card)
│ | auto commit |
└── values | |
| size | 4 columns, 1 row
(7 rows)
The output for this INSERT lists the primary operation under tree (i.e., insert), and the table and columns affected by the operation under the description of the into field (i.e., the id, city, name, address, and credit_card columns of the users table). The output also includes the size of the INSERT in the description of the size field (i.e., a single row).
EXPLAIN output can include more information, for more complex types of INSERT queries. For example, suppose that you create a UNIQUE index on the users table:
> CREATE UNIQUE INDEX ON users(city, id, name);
And then you want the EXPLAIN output for an INSERT ... ON CONFLICT statement that inserts some data that might conflict with the UNIQUE constraint imposed on the name, city, and id columns:
> EXPLAIN INSERT INTO users(id, city, name) VALUES ('c28f5c28-f5c2-4000-8000-000000000026', 'new york', 'Petee') ON CONFLICT DO NOTHING;
tree | field | description
----------------------------------------------+-----------------------+------------------------------------------------------------------------------------------------------------
| distribution | local
| vectorized | false
insert | |
│ | into | users(id, city, name, address, credit_card)
│ | auto commit |
│ | arbiter indexes | primary, users_city_id_name_key
└── filter | |
│ | filter | city IS NULL
└── lookup join (left outer) | |
│ | table | users@users_name_idx
│ | equality | (column3, column2, column1) = (name,city,id)
│ | equality cols are key |
└── filter | |
│ | filter | city IS NULL
└── cross join (left outer) | |
├── values | |
│ | size | 4 columns, 1 row
└── scan | |
| estimated row count | 1
| table | users@users_city_id_name_key
| spans | [/'new york'/'c28f5c28-f5c2-4000-8000-000000000026' - /'new york'/'c28f5c28-f5c2-4000-8000-000000000026']
(21 rows)
Because the INSERT includes an ON CONFLICT clause, the query requires more than a simple insert operation. CockroachDB must check the provided values against the values in the database, to ensure that the UNIQUE constraint on name, city, and id is not violated. Note that the output also lists the indexes available to detect conflicts (i.e., the arbiter indexes), including the users_city_id_name_key index.
VERBOSE option
The VERBOSE option:
- Includes SQL expressions that are involved in each processing stage, providing more granular detail about which portion of your query is represented at each level.
- Includes detail about which columns are being used by each level, as well as properties of the result set on that level.
> EXPLAIN (VERBOSE) SELECT * FROM rides AS r
JOIN users AS u ON r.rider_id = u.id
WHERE r.city = 'new york'
ORDER BY r.revenue ASC;
tree | field | description | columns | ordering
-------------------------+---------------------+-----------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------+-----------
| distribution | full | |
| vectorized | true | |
sort | | | (id, city, vehicle_city, rider_id, vehicle_id, start_address, end_address, start_time, end_time, revenue, id, city, name, address, credit_card) | +revenue
│ | estimated row count | 14050 | |
│ | order | +revenue | |
└── hash join (inner) | | | (id, city, vehicle_city, rider_id, vehicle_id, start_address, end_address, start_time, end_time, revenue, id, city, name, address, credit_card) |
│ | estimated row count | 14050 | |
│ | equality | (rider_id) = (id) | |
├── scan | | | (id, city, vehicle_city, rider_id, vehicle_id, start_address, end_address, start_time, end_time, revenue) |
│ | estimated row count | 14050 | |
│ | table | rides@primary | |
│ | spans | /"new york"-/"new york"/PrefixEnd | |
└── scan | | | (id, city, name, address, credit_card) |
| estimated row count | 12500 | |
| table | users@primary | |
| spans | FULL SCAN | |
(16 rows)
TYPES option
The TYPES mode includes the types of the values used in the query plan. It also includes the SQL expressions that were involved in each processing stage, and includes the columns used by each level.
> EXPLAIN (TYPES) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
tree | field | description | columns | ordering
-----------------+---------------------+--------------------------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------
| distribution | full | |
| vectorized | true | |
sort | | | (id uuid, city varchar, vehicle_city varchar, rider_id uuid, vehicle_id uuid, start_address varchar, end_address varchar, start_time timestamp, end_time timestamp, revenue decimal) | +revenue
│ | estimated row count | 12527 | |
│ | order | +revenue | |
└── filter | | | (id uuid, city varchar, vehicle_city varchar, rider_id uuid, vehicle_id uuid, start_address varchar, end_address varchar, start_time timestamp, end_time timestamp, revenue decimal) |
│ | estimated row count | 12527 | |
│ | filter | ((revenue)[decimal] > (90)[decimal])[bool] | |
└── scan | | | (id uuid, city varchar, vehicle_city varchar, rider_id uuid, vehicle_id uuid, start_address varchar, end_address varchar, start_time timestamp, end_time timestamp, revenue decimal) |
| estimated row count | 125000 | |
| table | rides@primary | |
| spans | FULL SCAN | |
(12 rows)
OPT option
The OPT option displays the query plan tree generated by the cost-based optimizer. For example:
> EXPLAIN (OPT) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
text
-------------------------------
sort
└── select
├── scan rides
└── filters
└── revenue > 90
(5 rows)
To include cost details used by the optimizer in planning the query, use OPT, VERBOSE:
> EXPLAIN (OPT, VERBOSE) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
text
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
sort
├── columns: id:1 city:2 vehicle_city:3 rider_id:4 vehicle_id:5 start_address:6 end_address:7 start_time:8 end_time:9 revenue:10
├── immutable
├── stats: [rows=12526.8275, distinct(10)=9.90909091, null(10)=0]
│ histogram(10)= 0 0 11115 1412
│ <--- 90 ------- 99
├── cost: 154915.074
├── key: (1,2)
├── fd: (1,2)-->(3-10)
├── ordering: +10
├── prune: (1-9)
├── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
└── select
├── columns: id:1 city:2 vehicle_city:3 rider_id:4 vehicle_id:5 start_address:6 end_address:7 start_time:8 end_time:9 revenue:10
├── immutable
├── stats: [rows=12526.8275, distinct(10)=9.90909091, null(10)=0]
│ histogram(10)= 0 0 11115 1412
│ <--- 90 ------- 99
├── cost: 151254.04
├── key: (1,2)
├── fd: (1,2)-->(3-10)
├── prune: (1-9)
├── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
├── scan rides
│ ├── columns: id:1 city:2 vehicle_city:3 rider_id:4 vehicle_id:5 start_address:6 end_address:7 start_time:8 end_time:9 revenue:10
│ ├── stats: [rows=125000, distinct(1)=125000, null(1)=0, distinct(2)=9, null(2)=0, distinct(10)=100, null(10)=0]
│ │ histogram(1)= 0 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12
│ │ <--- '00000000-0000-4000-8000-000000000000' ----- '012d7731-8fc5-4480-8000-00000000023f' ----- '022f6a50-d6b2-48e0-8000-00000000042b' ----- '03a8e714-76af-49c0-8000-0000000006fb' ----- '04f97edc-7ef1-47c0-8000-00000000097d' ----- '06466b1e-5c0b-4980-8000-000000000bf8' ----- '07442c7f-bacb-4280-8000-000000000ddc' ----- '08a3f898-2cb2-4f80-8000-00000000107b' ----- '09a4df47-f993-4500-8000-000000001265' ----- '0b020c49-ba5e-4500-8000-0000000014ff' ----- '0c508b32-ce89-4580-8000-00000000177d' ----- '0db7281f-d9ba-4b00-8000-000000001a29' ----- '0f00ef13-48b2-4080-8000-000000001c9e' ----- '106e5cd4-ed2c-4f00-8000-000000001f57' ----- '1184c271-fff7-4d00-8000-00000000216a' ----- '1301eabb-cb1c-4900-8000-000000002441' ----- '144ed6fd-a836-4b00-8000-0000000026bc' ----- '15781c71-4fce-4400-8000-0000000028f3' ----- '16c3fc43-b2dd-4700-8000-000000002b6c' ----- '1810e885-8ff7-4900-8000-000000002de7' ----- '19274e22-a2c2-4700-8000-000000002ffa' ----- '1a4f8726-d04e-4200-8000-00000000322f' ----- '1bb83cf2-cf95-4500-8000-0000000034df' ----- '1d0f1f57-b41b-4c00-8000-00000000376d' ----- '1e6ab9b2-3dd5-4e00-8000-000000003a04' ----- '1fd04a2f-cefa-4400-8000-000000003cae' ----- '211ec918-e325-4400-8000-000000003f2c' ----- '226b2f23-033a-4800-8000-0000000041a6' ----- '23875925-3543-4e00-8000-0000000043c4' ----- '2516db0d-d82f-4800-8000-0000000046be' ----- '26634117-f844-4a00-8000-000000004938' ----- '279ee02a-77a2-4e00-8000-000000004b92' ----- '291fb3fa-6def-4800-8000-000000004e70' ----- '2a771c97-0f7b-4e00-8000-0000000050ff' ----- '2b66b617-7ea1-4600-8000-0000000052c8' ----- '2cd53048-9d27-4400-8000-000000005583' ----- '2e22a2c2-3747-4400-8000-0000000057ff' ----- '2f80dc33-721d-4400-8000-000000005a9b' ----- '313cee9d-d7ec-4c00-8000-000000005dea' ----- '32d234eb-9a17-4e00-8000-0000000060ef' ----- '349c6f36-ef80-4600-8000-000000006459' ----- '36188b11-409a-4400-8000-00000000672e' ----- '37a46173-b85e-4000-8000-000000006a21' ----- '38b47c73-eee5-4600-8000-000000006c28' ----- '3a11a975-afaf-4600-8000-000000006ec2' ----- '3bbf93ff-25e5-4c00-8000-0000000071f6' ----- '3d41fa76-5343-4400-8000-0000000074d7' ----- '3eb18116-ebd4-4000-8000-000000007794' ----- '3fed2029-6b33-4400-8000-0000000079ee' ----- '415a8deb-0fad-4400-8000-000000007ca7' ----- '428dc981-beb1-4000-8000-000000007ef1' ----- '43d89ce4-a7b4-4400-8000-000000008168' ----- '4522ea0f-d3b2-4c00-8000-0000000083de' ----- '4676a726-4a16-4400-8000-000000008666' ----- '47bc3c5b-d0e1-4000-8000-0000000088d3' ----- '49036438-8ebc-4800-8000-000000008b43' ----- '4a12f901-083d-4c00-8000-000000008d49' ----- '4b923a29-c779-4800-8000-000000009024' ----- '4d06fef7-c243-4c00-8000-0000000092eb' ----- '4e46cfc8-29cf-4c00-8000-00000000954d' ----- '4f922962-cfd8-4000-8000-0000000097c5' ----- '508dd1e5-3a81-4c00-8000-0000000099a5' ----- '51d041cc-532a-4800-8000-000000009c0c' ----- '52e83a10-9d06-4400-8000-000000009e22' ----- '53fe1975-f2cb-4400-8000-00000000a034' ----- '554195cc-857f-4000-8000-00000000a29d' ----- '5634549b-62c7-4400-8000-00000000a46c' ----- '5776c482-7b6f-4400-8000-00000000a6d3' ----- '58aa8650-e779-4000-8000-00000000a91e' ----- '59d2bf55-1505-4c00-8000-00000000ab53' ----- '5aecd078-52f7-4400-8000-00000000ad6d' ----- '5c23315d-701d-4000-8000-00000000afbd' ----- '5d4cfd08-d4ba-4800-8000-00000000b1f5' ----- '5ed84d33-8f79-4400-8000-00000000b4e7' ----- '60221426-fe71-4c00-8000-00000000b75c' ----- '615b9a5a-89b9-4000-8000-00000000b9b2' ----- '62b302f7-2b45-4800-8000-00000000bc41' ----- '63e29307-af20-4c00-8000-00000000be84' ----- '6539756c-93a7-4000-8000-00000000c112' ----- '664cb5bb-384f-4400-8000-00000000c31f' ----- '67653437-3f31-4000-8000-00000000c536' ----- '689d27c3-9368-4800-8000-00000000c789' ----- '69ce4a7b-4e54-4800-8000-00000000c9cf' ----- '6b324851-a869-4000-8000-00000000cc76' ----- '6c5436b8-f9b1-4000-8000-00000000ce9f' ----- '6d9d7774-aba3-4800-8000-00000000d113' ----- '6e99a62e-d352-4400-8000-00000000d2f4' ----- '6fb6dca0-7f66-4800-8000-00000000d514' ----- '711b60ae-9680-4000-8000-00000000d7bc' ----- '72a51e32-1a2e-4000-8000-00000000daab' ----- '7415b142-2ccb-4c00-8000-00000000dd6a' ----- '756b00ff-da40-4400-8000-00000000dff5' ----- '76da0168-b5cc-4000-8000-00000000e2b1' ----- '77d41743-e963-4c00-8000-00000000e48e' ----- '7938151a-4378-4400-8000-00000000e735' ----- '7aa71583-1f03-4000-8000-00000000e9f1' ----- '7c219eb6-390c-4000-8000-00000000ecc3' ----- '7d7cb2d9-05c0-4400-8000-00000000ef59' ----- '7ec7863b-eec3-4800-8000-00000000f1d0' ----- '7fd8adab-9f55-4c00-8000-00000000f3d9' ----- '81333b96-af03-4000-8000-00000000f66e' ----- '8270f388-2278-4000-8000-00000000f8cc' ----- '836b0963-5610-4000-8000-00000000faa9' ----- '849667b5-f1be-4800-8000-00000000fce4' ----- '85efe931-8761-4800-8000-00000000ff77' ----- '877ab324-851a-4800-8000-000000010268' ----- '88dd1e53-a81d-4000-8000-00000001050c' ----- '8a361997-80ba-4800-8000-00000001079e' ----- '8b81f969-e3c9-4800-8000-000000010a17' ----- '8cb20fb2-24aa-4800-8000-000000010c5b' ----- '8e264e48-626f-4000-8000-000000010f21' ----- '8f9b994e-1a3f-4800-8000-0000000111e9' ----- '90c026cc-1ca3-4800-8000-000000011417' ----- '91ab0856-e696-4000-8000-0000000115d7' ----- '92dfd694-ccab-4000-8000-000000011824' ----- '94794ea0-7703-4000-8000-000000011b31' ----- '957928e0-c9d9-4000-8000-000000011d19' ----- '96bb98c7-e282-4000-8000-000000011f80' ----- '97e1b8ed-1bf7-4000-8000-0000000121b1' ----- '993037d6-3022-4000-8000-00000001242f' ----- '9ac03ff6-9014-4800-8000-00000001272a' ----- '9c4e2f37-fbef-4000-8000-000000012a21' ----- '9d9d3458-cd20-4000-8000-000000012ca0' ----- '9ec2ce46-4990-4000-8000-000000012ed0' ----- 'a01d5c31-593e-4000-8000-000000013165' ----- 'a155d5f5-6a7a-4800-8000-0000000133b9' ----- 'a2df9378-ee28-4800-8000-0000000136a8' ----- 'a468448c-f7ca-4800-8000-000000013995' ----- 'a5931ca7-d673-4000-8000-000000013bcf' ----- 'a73b42cc-2d6a-4000-8000-000000013ef8' ----- 'a8e92d55-a3a0-4000-8000-00000001422c' ----- 'aa222d51-71e2-4800-8000-000000014481' ----- 'ab2fa93a-f74c-4000-8000-000000014683' ----- 'ac28b2a6-b0d9-4000-8000-00000001485e' ----- 'ad234eb9-a176-4000-8000-000000014a3c' ----- 'ae392e1e-f73c-4000-8000-000000014c4e' ----- 'af6be37d-e939-4800-8000-000000014e97' ----- 'b10d38cd-a6e7-4000-8000-0000000151b3' ----- 'b210be94-24e5-4000-8000-0000000153a2' ----- 'b34ce3de-6149-4800-8000-0000000155fd' ----- 'b48f53c5-79f2-4800-8000-000000015864' ----- 'b631b584-b1ab-4800-8000-000000015b82' ----- 'b76c4827-b6fe-4000-8000-000000015dda' ----- 'b8d716d2-aa5c-4000-8000-00000001608e' ----- 'ba240314-8776-4000-8000-000000016309' ----- 'bb70ef56-6490-4000-8000-000000016584' ----- 'bcb70ac3-a860-4000-8000-0000000167f2' ----- 'be0589ac-bc8c-4000-8000-000000016a70' ----- 'bf601797-cc3a-4000-8000-000000016d05' ----- 'c055fbb5-17a4-4000-8000-000000016eda' ----- 'c195cc85-7f30-4000-8000-00000001713c' ----- 'c2ef4e01-14d2-4800-8000-0000000173cf' ----- 'c44f1a19-86b9-4000-8000-00000001766e' ----- 'c576cce5-f740-4000-8000-0000000178a2' ----- 'c6dbd72b-cb5f-4800-8000-000000017b4b' ----- 'c835dedf-1e08-4800-8000-000000017ddf' ----- 'c9795b35-b0bb-4800-8000-000000018048' ----- 'caaeafab-53d6-4000-8000-000000018296' ----- 'cbc51548-66a1-4000-8000-0000000184a9' ----- 'cd0dcfcc-5b8d-4800-8000-00000001871c' ----- 'ce2089e3-4330-4800-8000-000000018928' ----- 'cf6e8294-9a56-4800-8000-000000018ba5' ----- 'd0b06c43-f5f9-4800-8000-000000018e0b' ----- 'd1c4b902-14ad-4800-8000-00000001901a' ----- 'd2f1a9fb-e76c-4800-8000-000000019258' ----- 'd40357a3-5504-4000-8000-000000019462' ----- 'd52220bc-382a-4000-8000-000000019685' ----- 'd65b20b8-066c-4800-8000-0000000198da' ----- 'd7aa25d8-d79d-4800-8000-000000019b59' ----- 'd8bef8ce-b356-4800-8000-000000019d69' ----- 'da06a6e3-2e38-4000-8000-000000019fda' ----- 'db4916ca-46e0-4000-8000-00000001a241' ----- 'dc6b0531-9828-4000-8000-00000001a46a' ----- 'dd7342ed-bb59-4000-8000-00000001a662' ----- 'deda6612-8390-4000-8000-00000001a90f' ----- 'e09aaa3a-d18d-4800-8000-00000001ac66' ----- 'e1f85d74-4f5d-4800-8000-00000001af01' ----- 'e30d306a-2b17-4800-8000-00000001b111' ----- 'e44d013a-92a3-4800-8000-00000001b373' ----- 'e5d63886-594a-4800-8000-00000001b661' ----- 'e6a44417-8705-4000-8000-00000001b7ea' ----- 'e82e87d2-c7b8-4000-8000-00000001bada' ----- 'e9717df1-9d66-4000-8000-00000001bd42' ----- 'eb04ab60-6b7a-4000-8000-00000001c043' ----- 'ec3c18b5-02ab-4800-8000-00000001c295' ----- 'ed8904f6-dfc5-4000-8000-00000001c510' ----- 'eef0281b-a7fc-4000-8000-00000001c7bd' ----- 'f0489d27-c393-4800-8000-00000001ca4e' ----- 'f19934ef-cbd5-4800-8000-00000001ccd0' ----- 'f352a843-8088-4000-8000-00000001d01a' ----- 'f4a66559-f6ec-4800-8000-00000001d2a2' ----- 'f595feda-6612-4000-8000-00000001d46b' ----- 'f6e696a2-6e54-4000-8000-00000001d6ed' ----- 'f8244e93-e1c9-4800-8000-00000001d94b' ----- 'f9b77c02-afdd-4800-8000-00000001dc4c' ----- 'fac57e23-f24d-4000-8000-00000001de4f' ----- 'fc0980b2-4207-4800-8000-00000001e0b9' ----- 'fd75e204-6c76-4800-8000-00000001e370' ----- 'feacc921-46a1-4800-8000-00000001e5c1' ----- 'fffe6d58-c8ee-4000-8000-00000001e845'
│ │ histogram(2)= 0 14225 0 12875 0 13362 0 14050 0 14900 0 13725 0 13475 0 14637 0 13750
│ │ <--- 'amsterdam' --- 'boston' --- 'los angeles' --- 'new york' --- 'paris' --- 'rome' --- 'san francisco' --- 'seattle' --- 'washington dc'
│ │ histogram(10)= 0 1325 1.2226e+05 1412
│ │ <--- 0 ------------- 99
│ ├── cost: 150004.02
│ ├── key: (1,2)
│ ├── fd: (1,2)-->(3-10)
│ ├── prune: (1-10)
│ └── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
└── filters
└── revenue:10 > 90 [outer=(10), immutable, constraints=(/10: (/90 - ]; tight)]
(39 rows)
To include cost and type details, use OPT, TYPES:
> EXPLAIN (OPT, TYPES) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
text
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
sort
├── columns: id:1(uuid!null) city:2(varchar!null) vehicle_city:3(varchar) rider_id:4(uuid) vehicle_id:5(uuid) start_address:6(varchar) end_address:7(varchar) start_time:8(timestamp) end_time:9(timestamp) revenue:10(decimal!null)
├── immutable
├── stats: [rows=12526.8275, distinct(10)=9.90909091, null(10)=0]
│ histogram(10)= 0 0 11115 1412
│ <--- 90 ------- 99
├── cost: 154915.074
├── key: (1,2)
├── fd: (1,2)-->(3-10)
├── ordering: +10
├── prune: (1-9)
├── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
└── select
├── columns: id:1(uuid!null) city:2(varchar!null) vehicle_city:3(varchar) rider_id:4(uuid) vehicle_id:5(uuid) start_address:6(varchar) end_address:7(varchar) start_time:8(timestamp) end_time:9(timestamp) revenue:10(decimal!null)
├── immutable
├── stats: [rows=12526.8275, distinct(10)=9.90909091, null(10)=0]
│ histogram(10)= 0 0 11115 1412
│ <--- 90 ------- 99
├── cost: 151254.04
├── key: (1,2)
├── fd: (1,2)-->(3-10)
├── prune: (1-9)
├── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
├── scan rides
│ ├── columns: id:1(uuid!null) city:2(varchar!null) vehicle_city:3(varchar) rider_id:4(uuid) vehicle_id:5(uuid) start_address:6(varchar) end_address:7(varchar) start_time:8(timestamp) end_time:9(timestamp) revenue:10(decimal)
│ ├── stats: [rows=125000, distinct(1)=125000, null(1)=0, distinct(2)=9, null(2)=0, distinct(10)=100, null(10)=0]
│ │ histogram(1)= 0 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 612 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12 625 12
│ │ <--- '00000000-0000-4000-8000-000000000000' ----- '012d7731-8fc5-4480-8000-00000000023f' ----- '022f6a50-d6b2-48e0-8000-00000000042b' ----- '03a8e714-76af-49c0-8000-0000000006fb' ----- '04f97edc-7ef1-47c0-8000-00000000097d' ----- '06466b1e-5c0b-4980-8000-000000000bf8' ----- '07442c7f-bacb-4280-8000-000000000ddc' ----- '08a3f898-2cb2-4f80-8000-00000000107b' ----- '09a4df47-f993-4500-8000-000000001265' ----- '0b020c49-ba5e-4500-8000-0000000014ff' ----- '0c508b32-ce89-4580-8000-00000000177d' ----- '0db7281f-d9ba-4b00-8000-000000001a29' ----- '0f00ef13-48b2-4080-8000-000000001c9e' ----- '106e5cd4-ed2c-4f00-8000-000000001f57' ----- '1184c271-fff7-4d00-8000-00000000216a' ----- '1301eabb-cb1c-4900-8000-000000002441' ----- '144ed6fd-a836-4b00-8000-0000000026bc' ----- '15781c71-4fce-4400-8000-0000000028f3' ----- '16c3fc43-b2dd-4700-8000-000000002b6c' ----- '1810e885-8ff7-4900-8000-000000002de7' ----- '19274e22-a2c2-4700-8000-000000002ffa' ----- '1a4f8726-d04e-4200-8000-00000000322f' ----- '1bb83cf2-cf95-4500-8000-0000000034df' ----- '1d0f1f57-b41b-4c00-8000-00000000376d' ----- '1e6ab9b2-3dd5-4e00-8000-000000003a04' ----- '1fd04a2f-cefa-4400-8000-000000003cae' ----- '211ec918-e325-4400-8000-000000003f2c' ----- '226b2f23-033a-4800-8000-0000000041a6' ----- '23875925-3543-4e00-8000-0000000043c4' ----- '2516db0d-d82f-4800-8000-0000000046be' ----- '26634117-f844-4a00-8000-000000004938' ----- '279ee02a-77a2-4e00-8000-000000004b92' ----- '291fb3fa-6def-4800-8000-000000004e70' ----- '2a771c97-0f7b-4e00-8000-0000000050ff' ----- '2b66b617-7ea1-4600-8000-0000000052c8' ----- '2cd53048-9d27-4400-8000-000000005583' ----- '2e22a2c2-3747-4400-8000-0000000057ff' ----- '2f80dc33-721d-4400-8000-000000005a9b' ----- '313cee9d-d7ec-4c00-8000-000000005dea' ----- '32d234eb-9a17-4e00-8000-0000000060ef' ----- '349c6f36-ef80-4600-8000-000000006459' ----- '36188b11-409a-4400-8000-00000000672e' ----- '37a46173-b85e-4000-8000-000000006a21' ----- '38b47c73-eee5-4600-8000-000000006c28' ----- '3a11a975-afaf-4600-8000-000000006ec2' ----- '3bbf93ff-25e5-4c00-8000-0000000071f6' ----- '3d41fa76-5343-4400-8000-0000000074d7' ----- '3eb18116-ebd4-4000-8000-000000007794' ----- '3fed2029-6b33-4400-8000-0000000079ee' ----- '415a8deb-0fad-4400-8000-000000007ca7' ----- '428dc981-beb1-4000-8000-000000007ef1' ----- '43d89ce4-a7b4-4400-8000-000000008168' ----- '4522ea0f-d3b2-4c00-8000-0000000083de' ----- '4676a726-4a16-4400-8000-000000008666' ----- '47bc3c5b-d0e1-4000-8000-0000000088d3' ----- '49036438-8ebc-4800-8000-000000008b43' ----- '4a12f901-083d-4c00-8000-000000008d49' ----- '4b923a29-c779-4800-8000-000000009024' ----- '4d06fef7-c243-4c00-8000-0000000092eb' ----- '4e46cfc8-29cf-4c00-8000-00000000954d' ----- '4f922962-cfd8-4000-8000-0000000097c5' ----- '508dd1e5-3a81-4c00-8000-0000000099a5' ----- '51d041cc-532a-4800-8000-000000009c0c' ----- '52e83a10-9d06-4400-8000-000000009e22' ----- '53fe1975-f2cb-4400-8000-00000000a034' ----- '554195cc-857f-4000-8000-00000000a29d' ----- '5634549b-62c7-4400-8000-00000000a46c' ----- '5776c482-7b6f-4400-8000-00000000a6d3' ----- '58aa8650-e779-4000-8000-00000000a91e' ----- '59d2bf55-1505-4c00-8000-00000000ab53' ----- '5aecd078-52f7-4400-8000-00000000ad6d' ----- '5c23315d-701d-4000-8000-00000000afbd' ----- '5d4cfd08-d4ba-4800-8000-00000000b1f5' ----- '5ed84d33-8f79-4400-8000-00000000b4e7' ----- '60221426-fe71-4c00-8000-00000000b75c' ----- '615b9a5a-89b9-4000-8000-00000000b9b2' ----- '62b302f7-2b45-4800-8000-00000000bc41' ----- '63e29307-af20-4c00-8000-00000000be84' ----- '6539756c-93a7-4000-8000-00000000c112' ----- '664cb5bb-384f-4400-8000-00000000c31f' ----- '67653437-3f31-4000-8000-00000000c536' ----- '689d27c3-9368-4800-8000-00000000c789' ----- '69ce4a7b-4e54-4800-8000-00000000c9cf' ----- '6b324851-a869-4000-8000-00000000cc76' ----- '6c5436b8-f9b1-4000-8000-00000000ce9f' ----- '6d9d7774-aba3-4800-8000-00000000d113' ----- '6e99a62e-d352-4400-8000-00000000d2f4' ----- '6fb6dca0-7f66-4800-8000-00000000d514' ----- '711b60ae-9680-4000-8000-00000000d7bc' ----- '72a51e32-1a2e-4000-8000-00000000daab' ----- '7415b142-2ccb-4c00-8000-00000000dd6a' ----- '756b00ff-da40-4400-8000-00000000dff5' ----- '76da0168-b5cc-4000-8000-00000000e2b1' ----- '77d41743-e963-4c00-8000-00000000e48e' ----- '7938151a-4378-4400-8000-00000000e735' ----- '7aa71583-1f03-4000-8000-00000000e9f1' ----- '7c219eb6-390c-4000-8000-00000000ecc3' ----- '7d7cb2d9-05c0-4400-8000-00000000ef59' ----- '7ec7863b-eec3-4800-8000-00000000f1d0' ----- '7fd8adab-9f55-4c00-8000-00000000f3d9' ----- '81333b96-af03-4000-8000-00000000f66e' ----- '8270f388-2278-4000-8000-00000000f8cc' ----- '836b0963-5610-4000-8000-00000000faa9' ----- '849667b5-f1be-4800-8000-00000000fce4' ----- '85efe931-8761-4800-8000-00000000ff77' ----- '877ab324-851a-4800-8000-000000010268' ----- '88dd1e53-a81d-4000-8000-00000001050c' ----- '8a361997-80ba-4800-8000-00000001079e' ----- '8b81f969-e3c9-4800-8000-000000010a17' ----- '8cb20fb2-24aa-4800-8000-000000010c5b' ----- '8e264e48-626f-4000-8000-000000010f21' ----- '8f9b994e-1a3f-4800-8000-0000000111e9' ----- '90c026cc-1ca3-4800-8000-000000011417' ----- '91ab0856-e696-4000-8000-0000000115d7' ----- '92dfd694-ccab-4000-8000-000000011824' ----- '94794ea0-7703-4000-8000-000000011b31' ----- '957928e0-c9d9-4000-8000-000000011d19' ----- '96bb98c7-e282-4000-8000-000000011f80' ----- '97e1b8ed-1bf7-4000-8000-0000000121b1' ----- '993037d6-3022-4000-8000-00000001242f' ----- '9ac03ff6-9014-4800-8000-00000001272a' ----- '9c4e2f37-fbef-4000-8000-000000012a21' ----- '9d9d3458-cd20-4000-8000-000000012ca0' ----- '9ec2ce46-4990-4000-8000-000000012ed0' ----- 'a01d5c31-593e-4000-8000-000000013165' ----- 'a155d5f5-6a7a-4800-8000-0000000133b9' ----- 'a2df9378-ee28-4800-8000-0000000136a8' ----- 'a468448c-f7ca-4800-8000-000000013995' ----- 'a5931ca7-d673-4000-8000-000000013bcf' ----- 'a73b42cc-2d6a-4000-8000-000000013ef8' ----- 'a8e92d55-a3a0-4000-8000-00000001422c' ----- 'aa222d51-71e2-4800-8000-000000014481' ----- 'ab2fa93a-f74c-4000-8000-000000014683' ----- 'ac28b2a6-b0d9-4000-8000-00000001485e' ----- 'ad234eb9-a176-4000-8000-000000014a3c' ----- 'ae392e1e-f73c-4000-8000-000000014c4e' ----- 'af6be37d-e939-4800-8000-000000014e97' ----- 'b10d38cd-a6e7-4000-8000-0000000151b3' ----- 'b210be94-24e5-4000-8000-0000000153a2' ----- 'b34ce3de-6149-4800-8000-0000000155fd' ----- 'b48f53c5-79f2-4800-8000-000000015864' ----- 'b631b584-b1ab-4800-8000-000000015b82' ----- 'b76c4827-b6fe-4000-8000-000000015dda' ----- 'b8d716d2-aa5c-4000-8000-00000001608e' ----- 'ba240314-8776-4000-8000-000000016309' ----- 'bb70ef56-6490-4000-8000-000000016584' ----- 'bcb70ac3-a860-4000-8000-0000000167f2' ----- 'be0589ac-bc8c-4000-8000-000000016a70' ----- 'bf601797-cc3a-4000-8000-000000016d05' ----- 'c055fbb5-17a4-4000-8000-000000016eda' ----- 'c195cc85-7f30-4000-8000-00000001713c' ----- 'c2ef4e01-14d2-4800-8000-0000000173cf' ----- 'c44f1a19-86b9-4000-8000-00000001766e' ----- 'c576cce5-f740-4000-8000-0000000178a2' ----- 'c6dbd72b-cb5f-4800-8000-000000017b4b' ----- 'c835dedf-1e08-4800-8000-000000017ddf' ----- 'c9795b35-b0bb-4800-8000-000000018048' ----- 'caaeafab-53d6-4000-8000-000000018296' ----- 'cbc51548-66a1-4000-8000-0000000184a9' ----- 'cd0dcfcc-5b8d-4800-8000-00000001871c' ----- 'ce2089e3-4330-4800-8000-000000018928' ----- 'cf6e8294-9a56-4800-8000-000000018ba5' ----- 'd0b06c43-f5f9-4800-8000-000000018e0b' ----- 'd1c4b902-14ad-4800-8000-00000001901a' ----- 'd2f1a9fb-e76c-4800-8000-000000019258' ----- 'd40357a3-5504-4000-8000-000000019462' ----- 'd52220bc-382a-4000-8000-000000019685' ----- 'd65b20b8-066c-4800-8000-0000000198da' ----- 'd7aa25d8-d79d-4800-8000-000000019b59' ----- 'd8bef8ce-b356-4800-8000-000000019d69' ----- 'da06a6e3-2e38-4000-8000-000000019fda' ----- 'db4916ca-46e0-4000-8000-00000001a241' ----- 'dc6b0531-9828-4000-8000-00000001a46a' ----- 'dd7342ed-bb59-4000-8000-00000001a662' ----- 'deda6612-8390-4000-8000-00000001a90f' ----- 'e09aaa3a-d18d-4800-8000-00000001ac66' ----- 'e1f85d74-4f5d-4800-8000-00000001af01' ----- 'e30d306a-2b17-4800-8000-00000001b111' ----- 'e44d013a-92a3-4800-8000-00000001b373' ----- 'e5d63886-594a-4800-8000-00000001b661' ----- 'e6a44417-8705-4000-8000-00000001b7ea' ----- 'e82e87d2-c7b8-4000-8000-00000001bada' ----- 'e9717df1-9d66-4000-8000-00000001bd42' ----- 'eb04ab60-6b7a-4000-8000-00000001c043' ----- 'ec3c18b5-02ab-4800-8000-00000001c295' ----- 'ed8904f6-dfc5-4000-8000-00000001c510' ----- 'eef0281b-a7fc-4000-8000-00000001c7bd' ----- 'f0489d27-c393-4800-8000-00000001ca4e' ----- 'f19934ef-cbd5-4800-8000-00000001ccd0' ----- 'f352a843-8088-4000-8000-00000001d01a' ----- 'f4a66559-f6ec-4800-8000-00000001d2a2' ----- 'f595feda-6612-4000-8000-00000001d46b' ----- 'f6e696a2-6e54-4000-8000-00000001d6ed' ----- 'f8244e93-e1c9-4800-8000-00000001d94b' ----- 'f9b77c02-afdd-4800-8000-00000001dc4c' ----- 'fac57e23-f24d-4000-8000-00000001de4f' ----- 'fc0980b2-4207-4800-8000-00000001e0b9' ----- 'fd75e204-6c76-4800-8000-00000001e370' ----- 'feacc921-46a1-4800-8000-00000001e5c1' ----- 'fffe6d58-c8ee-4000-8000-00000001e845'
│ │ histogram(2)= 0 14225 0 12875 0 13362 0 14050 0 14900 0 13725 0 13475 0 14637 0 13750
│ │ <--- 'amsterdam' --- 'boston' --- 'los angeles' --- 'new york' --- 'paris' --- 'rome' --- 'san francisco' --- 'seattle' --- 'washington dc'
│ │ histogram(10)= 0 1325 1.2226e+05 1412
│ │ <--- 0 ------------- 99
│ ├── cost: 150004.02
│ ├── key: (1,2)
│ ├── fd: (1,2)-->(3-10)
│ ├── prune: (1-10)
│ └── interesting orderings: (+2,+1) (+2,+4,+1) (+3,+5,+2,+1)
└── filters
└── gt [type=bool, outer=(10), immutable, constraints=(/10: (/90 - ]; tight)]
├── variable: revenue:10 [type=decimal]
└── const: 90 [type=decimal]
(41 rows)
To include all details used by the optimizer, including statistics, use OPT, ENV.
> EXPLAIN (OPT, ENV) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
text
-----------------------------------------------------
https://cockroachdb.github.io/text/decode.html#....
(1 row)
The output of EXPLAIN (OPT, ENV) is now a URL with the data encoded in the fragment portion. Opening the URL shows a page with the decoded data. This change makes it easier to share debugging information across different systems without encountering formatting issues.
Note that the data is processed in the local browser session and is never sent out over the network. Keep in mind that if you are using any browser extensions, they may be able to access the data locally.
When you visit the URL above you should see the following output in your browser.
-- Version: CockroachDB CCL v20.2.0 (x86_64-apple-darwin19.6.0, built 2020/09/17 16:03:34, go1.14.3)
-- reorder_joins_limit has the default value: 8
-- enable_zigzag_join has the default value: on
-- optimizer_use_histograms has the default value: on
-- optimizer_use_multicol_stats has the default value: on
CREATE TABLE public.rides (
id UUID NOT NULL,
city VARCHAR NOT NULL,
vehicle_city VARCHAR NULL,
rider_id UUID NULL,
vehicle_id UUID NULL,
start_address VARCHAR NULL,
end_address VARCHAR NULL,
start_time TIMESTAMP NULL,
end_time TIMESTAMP NULL,
revenue DECIMAL(10,2) NULL,
CONSTRAINT "primary" PRIMARY KEY (city ASC, id ASC),
CONSTRAINT fk_city_ref_users FOREIGN KEY (city, rider_id) REFERENCES public.users(city, id),
CONSTRAINT fk_vehicle_city_ref_vehicles FOREIGN KEY (vehicle_city, vehicle_id) REFERENCES public.vehicles(city, id),
INDEX rides_auto_index_fk_city_ref_users (city ASC, rider_id ASC),
INDEX rides_auto_index_fk_vehicle_city_ref_vehicles (vehicle_city ASC, vehicle_id ASC),
FAMILY "primary" (id, city, vehicle_city, rider_id, vehicle_id, start_address, end_address, start_time, end_time, revenue),
CONSTRAINT check_vehicle_city_city CHECK (vehicle_city = city)
);
ALTER TABLE movr.public.rides INJECT STATISTICS '[
{
"columns": [
"city"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 9,
"histo_col_type": "STRING",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 125617,
"histo_col_type": "UUID",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"city",
"id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 124937,
"histo_col_type": "",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"rider_id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 12552,
"histo_col_type": "UUID",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"city",
"rider_id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 12444,
"histo_col_type": "",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"vehicle_city"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 9,
"histo_col_type": "STRING",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"vehicle_id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 3764,
"histo_col_type": "UUID",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"vehicle_city",
"vehicle_id"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 3717,
"histo_col_type": "",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"start_address"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 124678,
"histo_col_type": "STRING",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"end_address"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 126337,
"histo_col_type": "STRING",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"start_time"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 30,
"histo_col_type": "TIMESTAMP",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"end_time"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 756,
"histo_col_type": "TIMESTAMP",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
},
{
"columns": [
"revenue"
],
"created_at": "2020-09-17 16:27:05.231123",
"distinct_count": 100,
"histo_col_type": "DECIMAL",
"name": "__auto__",
"null_count": 0,
"row_count": 125000
}
]';
EXPLAIN (OPT, ENV) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
----
sort
└── select
├── scan rides
└── filters
└── revenue > 90
VEC option
The VEC option shows details about the vectorized execution plan for the query.
> EXPLAIN (VEC) SELECT * FROM rides WHERE revenue > 90 ORDER BY revenue ASC;
text
---------------------------------------------
│
â”” Node 1
â”” *colexec.sortOp
â”” *colexec.selGTDecimalDecimalConstOp
â”” *colfetcher.ColBatchScan
(5 rows)
The output shows the different internal functions that will be used to process each batch of column-oriented data.
DISTSQL option
The DISTSQL option generates a URL for a physical query plan that provides high level information about how a query will be executed. For details about reading the physical query plan, see DistSQL Plan Viewer. For more information about distributed SQL queries, see the DistSQL section of our SQL Layer Architecture docs.
Note:
The generated physical query plan is encoded into a byte string after the fragment identifier (#) in the generated URL. The fragment is not sent to the web server; instead, the browser waits for the web server to return a decode.html resource, and then JavaScript on the web page decodes the fragment into a physical query plan diagram. The query plan is, therefore, not logged by a server external to the CockroachDB cluster and not exposed to the public internet.
For example, the following EXPLAIN(DISTSQL) statement generates a physical plan for a simple query against the TPC-H database loaded to a 3-node CockroachDB cluster:
> EXPLAIN (DISTSQL) SELECT l_shipmode, AVG(l_extendedprice) FROM lineitem GROUP BY l_shipmode;
automatic | url
-----------+----------------------------------------------
true | https://cockroachdb.github.io/distsqlplan...
To view the DistSQL Plan Viewer, point your browser to the URL provided:
To include the data types of the input columns in the physical plan, use EXPLAIN(DISTSQL, TYPES):
> EXPLAIN (DISTSQL, TYPES) SELECT l_shipmode, AVG(l_extendedprice) FROM lineitem GROUP BY l_shipmode;
automatic | url
-----------+----------------------------------------------
true | https://cockroachdb.github.io/distsqlplan...
To view the DistSQL Plan Viewer, point your browser to the URL provided:
Find the indexes and key ranges a query uses
You can use EXPLAIN to understand which indexes and key ranges queries use, which can help you ensure a query isn't performing a full table scan.
> CREATE TABLE kv (k INT PRIMARY KEY, v INT);
Because column v is not indexed, queries filtering on it alone scan the entire table:
> EXPLAIN SELECT * FROM kv WHERE v BETWEEN 4 AND 5;
tree | field | description
------------+---------------+------------------------
| distribution | full
| vectorized | false
filter | |
│ | filter | (v >= 4) AND (v <= 5)
└── scan | |
| missing stats |
| table | kv@primary
| spans | FULL SCAN
(8 rows)
New in v20.2: You can disable query plans that perform full table scans with the disallow_full_table_scans session variable.
When disallow_full_table_scans=on, attempting to execute a query with a plan that includes a full table scan will return an error:
> SET disallow_full_table_scans=on;
> SELECT * FROM kv WHERE v BETWEEN 4 AND 5;
ERROR: query `SELECT * FROM kv WHERE v BETWEEN 4 AND 5` contains a full table/index scan which is explicitly disallowed
SQLSTATE: P0003
HINT: try overriding the `disallow_full_table_scans` cluster/session setting
If there were an index on v, CockroachDB would be able to avoid scanning the entire table:
> CREATE INDEX v ON kv (v);
> EXPLAIN SELECT * FROM kv WHERE v BETWEEN 4 AND 5;
tree | field | description
-------+---------------+--------------
| distribution | local
| vectorized | false
scan | |
| missing stats |
| table | kv@v
| spans | [/4 - /5]
(6 rows)
Now, only part of the index v is getting scanned, specifically the key range starting at (and including) 4 and stopping before 6. Also note that this query plan is not distributed across nodes on the cluster.
Find out if a statement is using SELECT FOR UPDATE locking
CockroachDB has support for ordering transactions by controlling concurrent access to one or more rows of a table using locks. This "SELECT FOR UPDATE locking" can result in improved performance for contended operations. It applies to the following statements:
To see whether a SQL query using one of these statements is using this feature, check the output of EXPLAIN for a locking strength field as shown below. If the locking strength field does not appear, then the statement is not using this feature.
> CREATE TABLE IF NOT EXISTS kv (k INT PRIMARY KEY, v INT);
UPSERT INTO kv (k, v) VALUES (1, 5), (2, 10), (3, 15);
> EXPLAIN UPDATE kv SET v = 100 WHERE k = 1;
tree | field | description
-----------------+------------------+--------------
| distribution | local
| vectorized | false
update | |
│ | table | kv
│ | set | v
│ | auto commit |
└── render | |
└── scan | |
| missing stats |
| table | kv@primary
| spans | [/1 - /1]
| locking strength | for update
(12 rows)
By default, SELECT FOR UPDATE locking is enabled for the initial row scan of UPDATE and UPSERT statements. To disable it, toggle the enable_implicit_select_for_update session setting.
See also
ALTER TABLEALTER SEQUENCEBACKUPCANCEL JOBCREATE DATABASEDROP DATABASEEXECUTEEXPLAIN ANALYZEIMPORT- Indexes
INSERTPAUSE JOBRESETRESTORERESUME JOBSELECT- Selection Queries
SETSET CLUSTER SETTINGSHOW COLUMNSUPDATEUPSERT
Was this helpful?
