EXPLAIN ANALYZE

On this page Carat arrow pointing down
Warning:
As of April 30, 2020, CockroachDB v2.1 is no longer supported. For more details, refer to the Release Support Policy.

New in v2.1: The EXPLAIN ANALYZE statement executes a SQL query and returns a physical query plan with execution statistics. Query plans provide information around SQL execution, which can be used to troubleshoot slow queries by figuring out where time is being spent, how long a processor (i.e., a component that takes streams of input rows and processes them according to a specification) is not doing work, etc. For more information about distributed SQL queries, see the DistSQL section of our SQL Layer Architecture docs.

Synopsis

EXPLAIN ANALYZE ( DISTSQL ) preparable_stmt

Required privileges

The user requires the appropriate privileges for the statement being explained.

Parameters

Parameter Description
DISTSQL (Default) Generate a link to a distributed SQL physical query plan tree.
preparable_stmt The statement you want details about. All preparable statements are explainable.

Success responses

Successful EXPLAIN ANALYZE statements return a table with the following columns:

Column Description
automatic If true, the query is distributed. For more information about distributed SQL queries, see the DistSQL section of our SQL Layer Architecture docs.
url The URL generated for a physical query plan that provides high level information about how a query will be executed. For more details about the physical query plan, see DistSQL Plan Viewer.

DistSQL Plan Viewer

The DistSQL Plan Viewer displays the physical query plan, as well as execution statistics:

Field Description
<ProcessorName>/<n> The processor and processor ID used to read data into the SQL execution engine.

A processor is a component that takes streams of input rows, processes them according to a specification, and outputs one stream of rows. For example, an "aggregator" aggregates input rows.
<index>@<table> The index used.
Out The output columns.
@<n> The index of the column relative to the input.
Render The stage that renders the output.
unordered / ordered (Blue box) A synchronizer that takes one or more output streams and merges them to be consumable by a processor. An ordered synchronizer is used to merge ordered streams and keeps the rows in sorted order.
left(@<n>)=right(@<n>) The equality columns used in the join.
rows read The number of rows read by the processor.
stall time How long the processor spent not doing work. This is aggregated into the stall time numbers as the query progresses down the tree (i.e., stall time is added up and overlaps with previous time).
stored side The smaller table that was stored as an in-memory hash table.
max memory used How much memory (if any) is used to buffer rows.
by hash (Orange box) The router, which is a component that takes one stream of input rows and sends them to a node according to a routing algorithm.

For example, a hash router hashes columns of a row and sends the results to the node that is aggregating the result rows.
max disk used How much disk (if any) is used to buffer rows. Routers and processors will spill to disk buffering if there is not enough memory to buffer the rows.
rows routed How many rows were sent by routers, which can be used to understand network usage.
bytes sent The number of actual bytes sent (i.e., encoding of the rows). This is only relevant when doing network communication.
Response The response back to the client.
Note:

Any or all of the above fields may display for a given query plan.

Example

EXPLAIN ANALYZE will execute the query and generate a physical query plan with execution statistics:

icon/buttons/copy
> EXPLAIN ANALYZE 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:

EXPLAIN ANALYZE (DISTSQL)

See also


Yes No
On this page

Yes No