Explore the query execution summary

After all results coming from a query have been processed, the server ends the transaction by returning a summary of execution. It comes as a ResultSummary object, and it contains information among which:

  • Query counters — What changes the query triggered on the server

  • Query execution plan — How the database would execute (or executed) the query

  • Notifications — Extra information raised by the server while running the query

  • Timing information and query request summary

Retrieve the execution summary

When running queries with Driver.execute_query(), the execution summary is part of the default return object, under the summary key.

records, result_summary, keys = driver.execute_query("""
    UNWIND ["Alice", "Bob"] AS name
    MERGE (p:Person {name: name})
    """, database_="neo4j",
# or result_summary = driver.execute_query('<QUERY>').summary

If you are using transaction functions, or a custom transformer with Driver.execute_query(), you can retrieve the query execution summary with the method Result.consume(). Notice that once you ask for the execution summary, the result stream is exhausted. This means that any record which has not yet been processed is not available any longer.

def create_people(tx):
    result = tx.run("""
        UNWIND ["Alice", "Bob"] AS name
        MERGE (p:Person {name: name})
    return result.consume()

with driver.session(database="neo4j") as session:
    result_summary = session.execute_write(create_people)

Query counters

The property ResultSummary.counters contains counters for the operations that a query triggered (as a SummaryCounters object).

Insert some data and display the query counters
summary = driver.execute_query("""
    MERGE (p:Person {name: $name})
    MERGE (p)-[:KNOWS]->(:Person {name: $friend})
    """, name="Mark", friend="Bob",
{'_contains_updates': True, 'labels_added': 2, 'relationships_created': 1,
 'nodes_created': 2, 'properties_set': 2}

There are two additional boolean properties which act as meta-counters:

  • contains_updates — whether the query triggered any write operation on the database on which it ran

  • contains_system_updates — whether the query updated the system database

Query execution plan

If you prefix a query with EXPLAIN, the server will return the plan it would use to run the query, but will not actually run it. The plan is then available under the property ResultSummary.plan, and contains the list of Cypher operators that would be used to retrieve the result set. You may use this information to locate potential bottlenecks or room for performance improvements (for example through the creation of indexes).

_, summary, _ = driver.execute_query("EXPLAIN MATCH (p {name: $name}) RETURN p", name="Alice")

Planner COST
Runtime version 5.0
Batch size 128

| Operator        | Details        | Estimated Rows | Pipeline            |
| +ProduceResults | p              |              1 |                     |
| |               +----------------+----------------+                     |
| +Filter         | p.name = $name |              1 |                     |
| |               +----------------+----------------+                     |
| +AllNodesScan   | p              |             10 | Fused in Pipeline 0 |

Total database accesses: ?

If you instead prefix a query with the keyword PROFILE, the server will return the execution plan it has used to run the query, together with profiler statistics. This includes the list of operators that were used and additional profiling information about each intermediate step. The plan is available under the property ResultSummary.profile. Notice that the query is also run, so the result object also contains any result records.

records, summary, _ = driver.execute_query("PROFILE MATCH (p {name: $name}) RETURN p", name="Alice")

Planner COST
Runtime version 5.0
Batch size 128

| Operator        | Details        | Estimated Rows | Rows | DB Hits | Memory (Bytes) | Page Cache Hits/Misses | Time (ms) | Pipeline            |
| +ProduceResults | p              |              1 |    1 |       3 |                |                        |           |                     |
| |               +----------------+----------------+------+---------+----------------+                        |           |                     |
| +Filter         | p.name = $name |              1 |    1 |       4 |                |                        |           |                     |
| |               +----------------+----------------+------+---------+----------------+                        |           |                     |
| +AllNodesScan   | p              |             10 |    4 |       5 |            120 |                 9160/0 |   108.923 | Fused in Pipeline 0 |

Total database accesses: 12, total allocated memory: 184

For more information and examples, see Basic query tuning.


The property ResultSummary.summary_notifications contains a list of notifications coming from the server, if any were raised by the execution of the query. These include recommendations for performance improvements, warnings about the usage of deprecated features, and other hints about sub-optimal usage of Neo4j. Each notification comes as a SummaryNotification object.

An unbounded shortest path raises a performance notification
records, summary, keys = driver.execute_query("""
    MATCH p=shortestPath((:Person {name: 'Alice'})-[*]->(:Person {name: 'Bob'}))
    RETURN p
    """, database_="neo4j"
    title='The provided pattern is unbounded, consider adding an upper limit to the number of node hops.',
    description='Using shortest path with an unbounded pattern will likely result in long execution times. It is recommended to use an upper limit to the number of node hops in your pattern.',
    severity_level=<NotificationSeverity.INFORMATION: 'INFORMATION'>,
    category=<NotificationCategory.PERFORMANCE: 'PERFORMANCE'>,
    position=SummaryNotificationPosition(line=1, column=22, offset=21)

Filter notifications

By default, the server analyses each query for all categories and severity of notifications. Starting from version 5.7, you can use the parameters notifications_min_severity and/or notifications_disabled_categories to restrict the severity or category of notifications that you are interested into. You may disable notifications altogether by setting the minimum severity to OFF. You can use those parameters either when creating a Driver instance, or when creating a session.

There is a slight performance gain in restricting the amount of notifications the server is allowed to raise.

Allow only WARNING notifications, but not of HINT or GENERIC category
driver = neo4j.GraphDatabase.driver(
    URI, auth=AUTH,
    notifications_min_severity='WARNING',  # or 'OFF' to disable
    notifications_disabled_categories=['HINT', 'GENERIC']

# at session level
session = driver.session(