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Warning:
CockroachDB v21.2 is no longer supported as of May 16, 2023. For more details, refer to the Release Support Policy.
The crdb_internal system catalog is a schema that contains information about internal objects, processes, and metrics related to a specific database. crdb_internal tables are read-only.
Tables
Warning:
Do not use the crdb_internal tables marked with ✗ in production environments for the following reasons:
- The contents of these tables are unstable, and subject to change in new releases of CockroachDB, without prior notice.
- There are memory and latency costs associated with each table in
crdb_internal. Accessing the tables in the schema can impact cluster stability and performance.
To view the schema and query examples for a table supported in production, click the table name.
| Table name | Description | Use in production |
|---|---|---|
active_range_feeds |
Contains information about range feeds on nodes in your cluster. | ✗ |
backward_dependencies |
Contains information about backward dependencies. | ✗ |
builtin_functions |
Contains information about supported functions. | ✗ |
cluster_contended_indexes |
Contains information about contended indexes in your cluster. | ✓ |
cluster_contended_keys |
Contains information about contended keys in your cluster. | ✓ |
cluster_contended_tables |
Contains information about contended tables in your cluster. | ✓ |
cluster_contention_events |
Contains information about contention in your cluster. | ✓ |
cluster_database_privileges |
Contains information about the database privileges on your cluster. | ✗ |
cluster_distsql_flows |
Contains information about the flows of the DistSQL execution scheduled in your cluster. | ✗ |
cluster_inflight_traces |
Contains information about in-flight tracing in your cluster. | ✗ |
cluster_queries |
Contains information about queries running on your cluster. | ✓ |
cluster_sessions |
Contains information about cluster sessions, including current and past queries. | ✓ |
cluster_settings |
Contains information about cluster settings. | ✗ |
cluster_transactions |
Contains information about transactions running on your cluster. | ✓ |
create_statements |
Contains information about tables and indexes in your database. | ✗ |
create_type_statements |
Contains information about user-defined types in your database. | ✗ |
cross_db_references |
Contains information about objects that reference other objects, such as foreign keys or views, across databases in your cluster. | ✗ |
databases |
Contains information about the databases in your cluster. | ✗ |
default_privileges |
Contains information about per-database default privileges. | ✗ |
feature_usage |
Contains information about feature usage on your cluster. | ✗ |
forward_dependencies |
Contains information about forward dependencies. | ✗ |
gossip_alerts |
Contains information about gossip alerts. | ✗ |
gossip_liveness |
Contains information about your cluster's gossip liveness. | ✗ |
gossip_network |
Contains information about your cluster's gossip network. | ✗ |
gossip_nodes |
Contains information about nodes in your cluster's gossip network. | ✗ |
index_columns |
Contains information about indexed columns in your cluster. | ✗ |
index_usage_statistics |
Contains statistics about the primary and secondary indexes used in statements. | ✓ |
interleaved |
Contains information about interleaved objects in your cluster. | ✗ |
invalid_objects |
Contains information about invalid objects in your cluster. | ✗ |
jobs |
Contains information about jobs running on your cluster. | ✗ |
kv_node_liveness |
Contains information about node liveness. | ✗ |
kv_node_status |
Contains information about node status at the key-value layer. | ✗ |
kv_store_status |
Contains information about the key-value store for your cluster. | ✗ |
leases |
Contains information about leases in your cluster. | ✗ |
lost_descriptors_with_data |
Contains information about table descriptors that have been deleted but still have data left over in storage. | ✗ |
node_build_info |
Contains information about nodes in your cluster. | ✗ |
node_contention_events |
Contains information about contention on the gateway node of your cluster. | ✗ |
node_distsql_flows |
Contains information about the flows of the DistSQL execution scheduled on nodes in your cluster. | ✗ |
node_inflight_trace_spans |
Contains information about currently in-flight spans in the current node. | ✗ |
node_metrics |
Contains metrics for nodes in your cluster. | ✗ |
node_queries |
Contains information about queries running on nodes in your cluster. | ✗ |
node_runtime_info |
Contains runtime information about nodes in your cluster. | ✗ |
node_sessions |
Contains information about sessions to nodes in your cluster. | ✗ |
node_statement_statistics |
Contains statement statistics for nodes in your cluster. | ✗ |
node_transaction_statistics |
Contains transaction statistics for nodes in your cluster. | ✗ |
node_transactions |
Contains information about transactions for nodes in your cluster. | ✗ |
node_txn_stats |
Contains transaction statistics for nodes in your cluster. | ✗ |
partitions |
Contains information about partitions in your cluster. | ✗ |
predefined_comments |
Contains predefined comments about your cluster. | ✗ |
ranges |
Contains information about ranges in your cluster. | ✗ |
ranges_no_leases |
Contains information about ranges in your cluster, without leases. | ✗ |
regions |
Contains information about cluster regions. | ✗ |
schema_changes |
Contains information about schema changes in your cluster. | ✗ |
session_trace |
Contains session trace information for your cluster. | ✗ |
session_variables |
Contains information about session variables in your cluster. | ✗ |
statement_statistics |
Aggregates in-memory and persisted statistics from system.statement_statistics within hourly time intervals based on UTC time, rounded down to the nearest hour. To reset the statistics call SELECT crdb_internal.reset_sql_stats(). |
✓ |
table_columns |
Contains information about table columns in your cluster. | ✗ |
table_indexes |
Contains information about table indexes in your cluster. | ✗ |
table_row_statistics |
Contains row count statistics for tables in the current database. | ✗ |
tables |
Contains information about tables in your cluster. | ✗ |
transaction_statistics |
Aggregates in-memory and persisted statistics from system.transaction_statistics within hourly time intervals based on UTC time, rounded down to the nearest hour. To reset the statistics call SELECT crdb_internal.reset_sql_stats(). |
✓ |
zones |
Contains information about zone configurations in your cluster. | ✗ |
List crdb_internal tables
To list the crdb_internal tables for the current database, use the following SHOW TABLES statement:
> SHOW TABLES FROM crdb_internal;
schema_name | table_name | type | owner | estimated_row_count | locality
----------------+-----------------------------+-------+-------+---------------------+-----------
crdb_internal | active_range_feeds | table | NULL | NULL | NULL
crdb_internal | backward_dependencies | table | NULL | NULL | NULL
crdb_internal | builtin_functions | table | NULL | NULL | NULL
crdb_internal | cluster_contended_indexes | view | NULL | NULL | NULL
crdb_internal | cluster_contended_keys | view | NULL | NULL | NULL
crdb_internal | cluster_contended_tables | view | NULL | NULL | NULL
crdb_internal | cluster_contention_events | table | NULL | NULL | NULL
crdb_internal | cluster_database_privileges | table | NULL | NULL | NULL
crdb_internal | cluster_distsql_flows | table | NULL | NULL | NULL
crdb_internal | cluster_inflight_traces | table | NULL | NULL | NULL
...
Query crdb_internal tables
To get detailed information about objects, processes, or metrics related to your database, you can read from the crdb_internal table that corresponds to the item of interest.
Tip:
- To ensure that you can view all of the tables in
crdb_internal, query the tables as a user with theadminrole. - Unless specified otherwise, queries to
crdb_internalassume the current database.
For example, to return the crdb_internal table for the index usage statistics of the movr database, you can use the following statement:
> SELECT * FROM movr.crdb_internal.index_usage_statistics;
table_id | index_id | total_reads | last_read
-----------+----------+-------------+--------------------------------
53 | 1 | 36792 | 2021-12-02 22:35:39.270713+00
54 | 1 | 24527 | 2021-12-02 22:35:39.053428+00
54 | 2 | 582120 | 2021-12-02 22:35:39.985883+00
55 | 1 | 309194 | 2021-12-02 22:35:39.619138+00
55 | 2 | 1 | 2021-12-02 00:28:26.176012+00
55 | 3 | 1 | 2021-12-02 00:28:31.122689+00
56 | 1 | 1 | 2021-12-02 00:28:32.074418+00
57 | 1 | 6116 | 2021-12-02 22:34:50.446242+00
58 | 1 | 3059 | 2021-12-02 22:34:50.447769+00
Table schema
This section provides the schema and examples for tables supported in production.
cluster_contended_indexes
| Column | Type | Description |
|---|---|---|
database_name |
STRING |
The name of the database experiencing contention. |
schema_name |
STRING |
The name of the schema experiencing contention. |
table_name |
STRING |
The name of the table experiencing contention. |
index_name |
STRING |
The name of the index experiencing contention. |
num_contention_events |
INT8 |
The number of contention events. |
Example
View all indexes that have experienced contention
SELECT * FROM movr.crdb_internal.cluster_contended_indexes;
database_name | schema_name | table_name | index_name | num_contention_events
----------------+-------------+------------+---------------------------------------+------------------------
movr | public | vehicles | vehicles_auto_index_fk_city_ref_users | 2
cluster_contended_keys
| Column | Type | Description |
|---|---|---|
database_name |
STRING |
The name of the database experiencing contention. |
schema_name |
STRING |
The name of the schema experiencing contention. |
table_name |
STRING |
The name of the table experiencing contention. |
index_name |
STRING |
The name of the index experiencing contention. |
key |
BYTES |
The key experiencing contention. |
num_contention_events |
INT8 |
The number of contention events. |
Example
View all keys that have experienced contention
SELECT * FROM movr.crdb_internal.cluster_contended_keys;
database_name | schema_name | table_name | index_name | key | num_contention_events
----------------+-------------+------------+---------------------------------------+------------------------------------------------------------------------------------------------------------------------+------------------------
movr | public | vehicles | vehicles_auto_index_fk_city_ref_users | /54/2/"amsterdam"/"\xb5~g\x0e,\x12@\x00\x80\x00\x00\x00\x00\x00\"\x9e"/"n\xe7\xc4\xc8P|J\xfc\x80\xc8\xe5\xf7X\xe2,="/0 | 1
movr | public | vehicles | rides_auto_index_fk_city_ref_users | /54/2/"amsterdam"/"\xb5~g\x0e,\x12@\x00\x80\x00\x00\x00\x00\x00\"\x9e"/"n\xe7\xc4\xc8P|J\xfc\x80\xc8\xe5\xf7X\xe2,="/0 | 1
movr | public | vehicles | vehicles_auto_index_fk_city_ref_users | /54/2/"seattle"/"Cm\t\xec\xcf\xf0E\u008f\xab\x97\xfa+\x02\x03p"/"\xef/ӎ\xe9RGDŽa\xee萖\x94\x16"/0 | 1
movr | public | vehicles | rides_auto_index_fk_city_ref_users | /54/2/"seattle"/"Cm\t\xec\xcf\xf0E\u008f\xab\x97\xfa+\x02\x03p"/"\xef/ӎ\xe9RGDŽa\xee萖\x94\x16"/0 | 1
system | public | jobs | primary | /15/1/717080975699410945/0 | 6
system | public | jobs | primary | /15/1/717080975812100097/0 | 6
cluster_contended_tables
| Column | Type | Description |
|---|---|---|
database_name |
STRING |
The name of the database experiencing contention. |
schema_name |
STRING |
The name of the schema experiencing contention. |
table_name |
STRING |
The name of the table experiencing contention. |
num_contention_events |
INT8 |
The number of contention events. |
Example
View all tables that have experienced contention
> SELECT * FROM movr.crdb_internal.cluster_contended_tables;
database_name | schema_name | table_name | num_contention_events
----------------+-------------+------------+------------------------
system | public | jobs | 4
cluster_contention_events
| Column | Type | Description |
|---|---|---|
table_id |
INT8 |
Unique table identifier. |
index_id |
INT8 |
Unique index identifier. |
num_contention_events |
INT8 |
The number of contention events. |
cumulative_contention_time |
INTERVAL |
The cumulative time that the transaction spends waiting in contention. |
key |
BYTES |
The key experiencing contention. |
txn_id |
UUID |
Unique transaction identifier. |
count |
INT8 |
The number of contention events. |
Example
View all contention events
SELECT * FROM crdb_internal.cluster_contention_events;
table_id | index_id | num_contention_events | cumulative_contention_time | key | txn_id | count
-----------+----------+-----------------------+----------------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+--------
15 | 1 | 3 | 00:00:00.013012 | \x97\x89\xfd\t\xf4}\xe3\xf5\xc0\x80\x01\x88 | 621bf72d-a5e6-439e-9eee-1646271cef1e | 1
15 | 1 | 3 | 00:00:00.013012 | \x97\x89\xfd\t\xf4}\xe3\xfb\x8c\x00\x01\x88 | e2e5cdd7-3112-4b78-ba15-7ce856ed55b2 | 1
15 | 1 | 3 | 00:00:00.013012 | \x97\x89\xfd\t\xf4\x7f`=\x80\x80\x01\x88 | 58a722f6-b7d8-4d1d-aefc-98394f85d283 | 1
15 | 4 | 1 | 00:00:00.003049 | \x97\x8c\x12&@\xdbFF\xedE\x19\x9f\x89\xb3@JS&\xe3\x00\x01\x12running\x00\x01\x14\xf9a\xb0\xe9\xef\xf9\t\x87\xcd\xd8\xfd\t\xf4}\xe3\xf5\xc0\x80\x01\x88 | 621bf72d-a5e6-439e-9eee-1646271cef1e | 1
cluster_queries
| Column | Type | Description |
|---|---|---|
query_id |
STRING |
Unique query identifier. |
txn_id |
UUID |
Unique transaction identifier. |
node_id |
INT8 |
The ID of the node on which the query is executed. |
session_id |
STRING |
Unique session identifier. |
user_name |
STRING |
The name of the user that executed the query. |
start |
TIMESTAMP |
The time that the query started. |
query |
STRING |
The query string. |
client_address |
STRING |
The address of the client that initiated the query. |
application_name |
STRING |
The name of the application that initiated the query. |
distributed |
BOOLEAN |
Whether the query is executing in a distributed cluster. |
phase |
STRING |
The phase that the query is in. |
Example
View all active queries
SELECT * FROM crdb_internal.cluster_queries;
query_id | txn_id | node_id | session_id | user_name | start | query | client_address | application_name | distributed | phase
-----------------------------------+--------------------------------------+---------+----------------------------------+-----------+----------------------------+---------------------------------------------+-----------------+------------------+-------------+------------
16bed963d5b663a80000000000000001 | 7e36e3ed-128c-4b20-930e-695aa8266630 | 1 | 16bed77359b325f80000000000000001 | demo | 2021-12-08 17:58:57.219848 | SELECT * FROM crdb_internal.cluster_queries | 127.0.0.1:56206 | $ cockroach demo | false | executing
cluster_sessions
| Column | Type | Description |
|---|---|---|
node_id |
INT8 |
The ID of the node the session is connected to. |
session_id |
STRING |
The ID of the session. |
user_name |
STRING |
The name of the user that initiated the session. |
client_address |
STRING |
The address of the client that initiated the session. |
application_name |
STRING |
The name of the application that initiated the session. |
active_queries |
STRING |
The SQL queries active in the session. |
last_active_query |
STRING |
The most recently completed SQL query in the session. |
session_start |
TIMESTAMP |
The timestamp at which the session started. |
oldest_query_start |
TIMESTAMP |
The timestamp at which the oldest currently active SQL query in the session started. |
kv_txn |
STRING |
The ID of the current key-value transaction for the session. |
alloc_bytes |
INT8 |
The number of bytes allocated by the session. |
max_alloc_bytes |
INT8 |
The maximum number of bytes allocated by the session. |
Example
View all open SQL sessions
SELECT * FROM crdb_internal.cluster_sessions;
node_id | session_id | user_name | client_address | application_name | active_queries | last_active_query | session_start | oldest_query_start | kv_txn | alloc_bytes | max_alloc_bytes
----------+----------------------------------+-----------+-----------------+------------------+----------------------------------------------+-------------------+----------------------------+---------------------------+--------------------------------------+-------------+------------------
1 | 16bed77359b325f80000000000000001 | demo | 127.0.0.1:56206 | $ cockroach demo | SELECT * FROM crdb_internal.cluster_sessions | SHOW database | 2021-12-08 17:23:24.835429 | 2021-12-08 18:01:54.23473 | 37da8b13-c476-4014-863b-527baa3120f9 | 10240 | 11519280
cluster_transactions
| Column | Type | Description |
|---|---|---|
id |
UUID |
The unique ID that identifies the transaction. |
node_id |
INT8 |
The ID of the node the transaction is connected to. |
session_id |
STRING |
The ID of the session running the transaction. |
start |
TIMESTAMP |
The time the transaction started. |
txn_string |
STRING |
The transaction string. |
application_name |
STRING |
The name of the application that ran the transaction. |
num_stmts |
INT8 |
The number of statements in the transaction. |
num_retries |
INT8 |
The number of times the transaction was retried. |
num_auto_retries |
INT8 |
The number of times the transaction was automatically retried. |
Examples
View all active transactions
SELECT * FROM crdb_internal.cluster_transactions;
id | node_id | session_id | start | txn_string | application_name | num_stmts | num_retries | num_auto_retries
---------------------------------------+---------+----------------------------------+----------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------+-----------+-------------+-------------------
d00d38d9-d1dd-4e15-a4d7-16d5b241d13a | 1 | 16bed77359b325f80000000000000001 | 2021-12-08 18:03:21.154766 | "sql txn" meta={id=d00d38d9 key=/Min pri=0.01545423 epo=0 ts=1638986601.154752000,0 min=1638986601.154752000,0 seq=0} lock=false stat=PENDING rts=1638986601.154752000,0 wto=false gul=1638986601.654752000,0 | $ cockroach demo | 1 | 0 | 0
index_usage_statistics
Contains one row for each index in the current database surfacing usage statistics for that specific index. This view is updated every time a transaction is committed. Each user-submitted statement on the specified index is counted as a use of that index and increments corresponding counters in this view. System and internal queries (such as scans for gathering statistics) are not counted.
| Column | Type | Description |
|---|---|---|
table_id |
INT8 |
Unique table identifier. |
index_id |
INT8 |
Unique index identifier. |
total_reads |
INT8 |
Number of times an index was selected for a read. |
last_read |
TIMESTAMPTZ |
Time of last read. |
Examples
Are there any indexes that have become stale and are no longer needed? Which indexes haven't been used during the past week?
SELECT ti.descriptor_name as table_name, ti.index_name, total_reads
FROM crdb_internal.index_usage_statistics AS us
JOIN crdb_internal.table_indexes ti
ON us.index_id = ti.index_id AND us.table_id = ti.descriptor_id
WHERE last_read < NOW() - INTERVAL '1 WEEK'
ORDER BY total_reads desc;
Which indexes are infrequently used? Are there any unused indexes?
SELECT ti.descriptor_name as table_name, ti.index_name, total_reads
FROM crdb_internal.index_usage_statistics AS us
JOIN crdb_internal.table_indexes ti
ON us.index_id = ti.index_id AND us.table_id = ti.descriptor_id
WHERE total_reads = 0;
statement_statistics
| Column | Type | Description |
|---|---|---|
aggregated_ts |
TIMESTAMPTZ NOT NULL |
The time that statistics aggregation started. |
fingerprint_id |
BYTES NOT NULL |
Unique identifier of the statement statistics. This is constructed using the statement fingerprint text, and statement metadata (e.g., query type, database name, etc.) |
transaction_fingerprint_id |
BYTES NOT NULL |
Uniquely identifies a transaction statistics. The transaction fingerprint ID that this statement statistic belongs to. |
plan_hash |
BYTES NOT NULL |
Uniquely identifies a query plan that was executed by the current statement. The query plan can be retrieved from the sampled_plan column. |
app_name |
STRING NOT NULL |
The name of the application that executed the statement. |
metadata |
JSONB NOT NULL |
Metadata that describes the statement. See metadata column. |
statistics |
JSONB NOT NULL |
Statistics for the statement. See statistics column. |
sampled_plan |
JSONB NOT NULL |
The sampled query plan of the current statement statistics. This column is unfilled if there is no sampled query plan. |
aggregation_interval |
INTERVAL NOT NULL |
The interval over which statistics are aggregated. |
metadata column
| Field | Type | Description |
|---|---|---|
db |
STRING |
The database on which the statement is executed. |
distsql |
BOOLEAN |
Whether the statement is being executed by the Distributed SQL (DistSQL) engine. |
failed |
BOOLEAN |
Whether the statement execution failed. |
fullScan |
BOOLEAN |
Whether the statement performed a full scan of the table. |
implicitTxn |
BOOLEAN |
Whether the statement executed in an implicit transaction. |
query |
STRING |
The statement string. |
querySummary |
STRING |
The statement string summary. |
stmtTyp |
SQLType |
The type of statement: TypeDDL, TypeDML, TypeDCL, or TypeTCL. |
vec |
BOOLEAN |
Whether the statement executed in the vectorized query engine. |
statistics column
The DB Console Statements and Statement Details pages display information from statistics.
The statistics column contains a JSONB object with statistics and execution_statistics subobjects. statistics are always populated and are updated each time a new statement of that statement fingerprint is executed. execution_statistics are collected using sampling. CockroachDB probablistically runs a query with tracing enabled to collect fine-grained statistics of the query execution.
The NumericStat type tracks two running values: the running mean mean and the running sum of squared differences sqDiff from the mean. You can use these statistics along with the total number of values to compute the variance using Welford's method. CockroachDB computes the variance and displays it along with mean in the Statements table.
| Field | Type | Description |
|---|---|---|
execution_statistics -> cnt |
INT64 |
The number of times execution statistics were recorded. |
execution_statistics -> contentionTime -> [mean|sqDiff] |
NumericStat |
The time the statement spent contending for resources before being executed. |
execution_statistics -> maxDiskUsage -> [mean|sqDiff] |
NumericStat |
The maximum temporary disk usage that occurred while executing this statement. This is set in cases where a query had to spill to disk, e.g., when performing a large sort where not all of the tuples fit in memory. |
execution_statistics -> maxMemUsage -> [mean|sqDiff] |
NumericStat |
The maximum memory usage that occurred on a node. |
execution_statistics -> networkBytes -> [mean|sqDiff] |
NumericStat |
The number of bytes sent over the network. |
execution_statistics -> networkMsgs -> [mean|sqDiff] |
NumericStat |
The number of messages sent over the network. |
statistics -> bytesRead -> [mean|sqDiff] |
NumericStat |
The number of bytes read from disk. |
statistics -> cnt |
INT8 |
The total number of times this statement was executed since the begin of the aggregation period. |
statistics -> firstAttemptCnt |
INT8 |
The total number of times a first attempt was executed (either the one time in explicitly committed statements, or the first time in implicitly committed statements with implicit retries). |
statistics -> lastExecAt |
TIMESTAMP |
The last timestamp the statement was executed. |
statistics -> maxRetries |
INT8 |
The maximum observed number of automatic retries in the aggregation period. |
statistics -> nodes |
Array of INT64 |
An ordered list of nodes IDs on which the statement was executed. |
statistics -> numRows -> [mean|sqDiff] |
NumericStat |
The number of rows returned or observed. |
statistics -> ovhLat -> [mean|sqDiff] |
NumericStat |
The difference between svcLat and the sum of parseLat+planLat+runLat latencies. |
statistics -> parseLat -> [mean|sqDiff] |
NumericStat |
The time to transform the SQL string into an abstract syntax tree (AST). |
statistics -> planLat -> [mean|sqDiff] |
NumericStat |
The time to transform the AST into a logical query plan. |
statistics -> rowsRead -> [mean|sqDiff] |
NumericStat |
The number of rows read from disk. |
statistics -> rowsWritten -> [mean|sqDiff] |
NumericStat |
The number of rows written to disk. |
statistics -> runLat -> [mean|sqDiff] |
NumericStat |
The time to run the query and fetch or compute the result rows. |
statistics -> svcLat -> [mean|sqDiff] |
NumericStat |
The time to service the query, from start of parse to end of execute. |
View historical statement statistics and the sampled logical plan per fingerprint
This example command shows how to query the two most important JSON columns: metadata and statistics. It displays
the first 60 characters of query text, statement statistics, and sampled plan for DDL and DML statements for the movr demo database:
SELECT substring(metadata ->> 'query',1,60) AS statement_text,
metadata ->> 'stmtTyp' AS statement_type,
metadata -> 'distsql' AS is_distsql,
metadata -> 'fullScan' AS has_full_scan,
metadata -> 'vec' AS used_vec,
statistics -> 'execution_statistics' -> 'contentionTime' -> 'mean' AS contention_time_mean,
statistics -> 'statistics' -> 'cnt' AS execution_count,
statistics -> 'statistics' -> 'firstAttemptCnt' AS num_first_attempts,
statistics -> 'statistics' -> 'numRows' -> 'mean' AS num_rows_returned_mean,
statistics -> 'statistics' -> 'rowsRead' -> 'mean' AS num_rows_read_mean,
statistics -> 'statistics' -> 'runLat' -> 'mean' AS runtime_latency_mean,
jsonb_pretty(sampled_plan) AS sampled_plan
FROM movr.crdb_internal.statement_statistics
WHERE metadata @> '{"db":"movr"}' AND (metadata @> '{"stmtTyp":"TypeDDL"}' OR metadata @> '{"stmtTyp":"TypeDML"}') LIMIT 20;
statement_text | statement_type | is_distsql | has_full_scan | used_vec | contention_time_mean | execution_count | num_first_attempts | num_rows_returned_mean | num_rows_read_mean | runtime_latency_mean | sampled_plan
---------------------------------------------------------------+----------------+------------+---------------+----------+----------------------+-----------------+--------------------+------------------------+--------------------+----------------------+--------------------------------------------------------------------------------------------------------------------------------
ALTER TABLE rides ADD FOREIGN KEY (city, rider_id) REFERENCE | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.007348 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "alter table"
| | | | | | | | | | | }
ALTER TABLE rides ADD FOREIGN KEY (vehicle_city, vehicle_id) | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.006618 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "alter table"
| | | | | | | | | | | }
ALTER TABLE rides SCATTER FROM ('_', '_') TO ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.00066175 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "scatter"
| | | | | | | | | | | }
ALTER TABLE rides SPLIT AT VALUES ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.031441875 | {
| | | | | | | | | | | "Children": [
| | | | | | | | | | | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "values",
| | | | | | | | | | | "Size": "2 columns, 1 row"
| | | | | | | | | | | }
| | | | | | | | | | | ],
| | | | | | | | | | | "Name": "split"
| | | | | | | | | | | }
ALTER TABLE user_promo_codes ADD FOREIGN KEY (city, user_id) | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.008143 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "alter table"
| | | | | | | | | | | }
ALTER TABLE users SCATTER FROM ('_', '_') TO ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.001272 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "scatter"
| | | | | | | | | | | }
ALTER TABLE users SPLIT AT VALUES ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.179651125 | {
| | | | | | | | | | | "Children": [
| | | | | | | | | | | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "values",
| | | | | | | | | | | "Size": "2 columns, 1 row"
| | | | | | | | | | | }
| | | | | | | | | | | ],
| | | | | | | | | | | "Name": "split"
| | | | | | | | | | | }
ALTER TABLE vehicle_location_histories ADD FOREIGN KEY (city | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.007684 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "alter table"
| | | | | | | | | | | }
ALTER TABLE vehicles ADD FOREIGN KEY (city, owner_id) REFERE | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.004085 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "alter table"
| | | | | | | | | | | }
ALTER TABLE vehicles SCATTER FROM ('_', '_') TO ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.000702 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "scatter"
| | | | | | | | | | | }
ALTER TABLE vehicles SPLIT AT VALUES ('_', '_') | TypeDML | false | false | true | 0 | 8 | 8 | 1 | 0 | 0.008966375 | {
| | | | | | | | | | | "Children": [
| | | | | | | | | | | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "values",
| | | | | | | | | | | "Size": "2 columns, 1 row"
| | | | | | | | | | | }
| | | | | | | | | | | ],
| | | | | | | | | | | "Name": "split"
| | | | | | | | | | | }
CREATE DATABASE movr | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.001397 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create database"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS promo_codes (code VARCHAR NOT NUL | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.001789 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS rides (id UUID NOT NULL, city VAR | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.002374 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS user_promo_codes (city VARCHAR NO | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.006318 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS users (id UUID NOT NULL, city VAR | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.002014 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS vehicle_location_histories (city | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.001906 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
CREATE TABLE IF NOT EXISTS vehicles (id UUID NOT NULL, city | TypeDDL | false | false | true | 0 | 1 | 1 | 0 | 0 | 0.003346 | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "create table"
| | | | | | | | | | | }
INSERT INTO promo_codes VALUES ($1, $2, __more3__), (__more9 | TypeDML | false | false | true | 0 | 250 | 250 | 1E+3 | 0 | 0.010470284000000002 | {
| | | | | | | | | | | "Auto Commit": "",
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Into": "promo_codes(code, description, creation_time, expiration_time, rules)",
| | | | | | | | | | | "Name": "insert fast path",
| | | | | | | | | | | "Size": "5 columns, 1000 rows"
| | | | | | | | | | | }
INSERT INTO rides VALUES ($1, $2, __more8__), (__more900__) | TypeDML | false | false | true | 0 | 125 | 125 | 1E+3 | 0 | 0.054189928000000005 | {
| | | | | | | | | | | "Auto Commit": "",
| | | | | | | | | | | "Children": [
| | | | | | | | | | | {
| | | | | | | | | | | "Children": [
| | | | | | | | | | | {
| | | | | | | | | | | "Children": [],
| | | | | | | | | | | "Name": "values",
| | | | | | | | | | | "Size": "10 columns, 1000 rows"
| | | | | | | | | | | }
| | | | | | | | | | | ],
| | | | | | | | | | | "Estimated Row Count": "1,000",
| | | | | | | | | | | "Name": "render"
| | | | | | | | | | | }
| | | | | | | | | | | ],
| | | | | | | | | | | "Into": "rides(id, city, vehicle_city, rider_id, vehicle_id, start_address, end_address, start_time, end_time, revenue)",
| | | | | | | | | | | "Name": "insert"
| | | | | | | | | | | }
transaction_statistics
| Column | Type | Description |
|---|---|---|
aggregated_ts |
TIMESTAMPTZ |
The time that statistics aggregation started. |
fingerprint_id |
BYTES |
The ID of the transaction fingerprint. |
app_name |
STRING |
The name of the application that executed the transaction. |
metadata |
JSONB |
Metadata that describes the transaction. See metadata column. |
statistics |
JSONB |
Statistics for the transaction. See statistics column. |
aggregation_interval |
INTERVAL |
The interval of time over which statistics are aggregated. |
View historical transaction statistics per fingerprint
This example command shows how to query the two most important JSON columns: metadata and statistics. It displays
the statistics for transactions on the movr demo database:
SELECT
metadata -> 'stmtFingerprintIDs' AS statement_fingerprint_id,
statistics -> 'execution_statistics' -> 'cnt' AS execution_count,
statistics -> 'execution_statistics' -> 'contentionTime' -> 'mean' AS contention_time_mean,
statistics -> 'execution_statistics' -> 'maxDiskUsage' -> 'mean' AS max_disk_usage_mean,
statistics -> 'execution_statistics' -> 'maxMemUsage' -> 'mean' AS max_mem_usage_mean,
statistics -> 'execution_statistics' -> 'networkBytes' -> 'mean' AS num_ntwk_bytes_mean,
statistics -> 'execution_statistics' -> 'networkMsgs' -> 'mean' AS num_ntwk_msgs_mean,
statistics -> 'statistics' -> 'bytesRead' -> 'mean' AS bytes_read_mean,
statistics -> 'statistics' -> 'cnt' AS count,
statistics -> 'statistics' -> 'commitLat' -> 'mean' AS commit_lat_mean,
statistics -> 'statistics' -> 'maxRetries' AS max_retries,
statistics -> 'statistics' -> 'numRows' -> 'mean' AS num_rows_mean,
statistics -> 'statistics' -> 'retryLat' -> 'mean' AS retry_latency_mean,
statistics -> 'statistics' -> 'rowsRead' -> 'mean' AS num_rows_read_mean,
statistics -> 'statistics' -> 'rowsWritten' -> 'mean' AS num_rows_written_mean,
statistics -> 'statistics' -> 'svcLat' -> 'mean' AS service_lat_mean
FROM crdb_internal.transaction_statistics WHERE app_name = 'movr' LIMIT 20;
statement_fingerprint_id | execution_count | contention_time_mean | max_disk_usage_mean | max_mem_usage_mean | num_ntwk_bytes_mean | num_ntwk_msgs_mean | bytes_read_mean | count | commit_lat_mean | max_retries | num_rows_mean | retry_latency_mean | num_rows_read_mean | num_rows_written_mean | service_lat_mean
---------------------------+-----------------+----------------------+---------------------+--------------------+---------------------+--------------------+--------------------+-------+--------------------------+-------------+---------------+--------------------+--------------------+-----------------------+------------------------
["ae6bf00068ea788b"] | 7 | 0 | 0 | 2.048E+4 | 0 | 0 | 299.35812133072403 | 511 | 0.00000699021526418786 | 0 | 1 | 0 | 1.9315068493150669 | 0 | 0.0020743385518591003
["ae6bf00068ea788b"] | 7 | 0 | 0 | 2.048E+4 | 0 | 0 | 300.61684210526295 | 475 | 0.00000655368421052631 | 0 | 1 | 0 | 1.9389473684210534 | 0 | 0.0019613578947368414
["bd6cff84f3c76319"] | 6 | 0 | 0 | 2.048E+4 | 0 | 0 | 215.77310924369766 | 714 | 0.000008922969187675072 | 0 | 1 | 0 | 1.9621848739495786 | 0 | 0.00228533193277311
["bd6cff84f3c76319"] | 7 | 0 | 0 | 2.048E+4 | 0 | 0 | 214.7635658914728 | 774 | 0.0000071511627906976775 | 0 | 1 | 0 | 1.9547803617571062 | 0 | 0.002103399224806201
["cfc8fc0503422c76"] | 3 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 368 | 0.0013085163043478267 | 0 | 1 | 0 | 0 | 1 | 0.001331747282608696
["cfc8fc0503422c76"] | 4 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 361 | 0.0011630997229916886 | 0 | 1 | 0 | 0 | 1 | 0.0019714072022160665
["dc9d9b4fcdd7511e"] | 1 | 0 | 0 | 4.096E+4 | 152 | 3 | 0 | 116 | 0.000006956896551724138 | 0 | 1 | 0 | 0 | 0 | 0.0014110603448275855
["dc9d9b4fcdd7511e"] | 1 | 0 | 0 | 4.096E+4 | 152 | 3 | 0 | 126 | 0.000006730158730158729 | 0 | 1 | 0 | 0 | 0 | 0.0013825634920634914
["22295b56d9b279f5"] | 4 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 140 | 0.000007021428571428573 | 0 | 1 | 0 | 0 | 1 | 0.0021642071428571432
["22295b56d9b279f5"] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0.000008215517241379309 | 0 | 1 | 0 | 0 | 1 | 0.0021244137931034483
["051aca13769620d3"] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.0012012000000000008 | 0 | 1 | 0 | 1 | 1 | 0.002633694736842105
["051aca13769620d3"] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.001323118279569892 | 0 | 1 | 0 | 1 | 1 | 0.0024401720430107525
["1b8e962ebb4b2c5c"] | 2 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 132 | 0.0011926818181818182 | 0 | 1 | 0 | 0 | 1 | 0.0023831893939393945
["1b8e962ebb4b2c5c"] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.0013019909090909092 | 0 | 1 | 0 | 0 | 1 | 0.0026221727272727276
["15489d7704332101"] | 125 | 0 | 0 | 5.12E+4 | 0 | 0 | 0 | 12199 | 0.0014255228297401419 | 0 | 1 | 0 | 1 | 1 | 0.004390958439216331
["15489d7704332101"] | 114 | 0 | 0 | 5.12E+4 | 0 | 0 | 0 | 12380 | 0.0014023091276251975 | 0 | 1 | 0 | 1 | 1 | 0.004440339660743126
["1165541b8979eb40"] | 1 | 0 | 0 | 3.072E+4 | 208 | 3 | 482.75193798449624 | 129 | 0.0000073410852713178325 | 0 | 1 | 0 | 1.984496124031008 | 0 | 0.002383465116279069
["1165541b8979eb40"] | 1 | 0 | 0 | 2.048E+4 | 0 | 0 | 473.58394160583924 | 137 | 0.000006656934306569342 | 0 | 1 | 0 | 1.9416058394160585 | 0 | 0.001756532846715328
["485a374e9e1c11d0"] | 11 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 480 | 0.0014361895833333342 | 0 | 1 | 0 | 0 | 1 | 0.0027399666666666684
["485a374e9e1c11d0"] | 9 | 0 | 0 | 1.024E+4 | 0 | 0 | 0 | 465 | 0.0011626645161290328 | 0 | 1 | 0 | 0 | 1 | 0.0026638344086021525
See also
SHOWSHOW COLUMNSSHOW CONSTRAINTSSHOW CREATESHOW DATABASESSHOW GRANTSSHOW INDEXSHOW SCHEMASSHOW TABLES- SQL Name Resolution
- System Catalogs
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