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Read and write data

The Session is the unit-of-work manager for Cypher-based graph databases. It owns all mutations, manages the identity map, and controls the flush/commit lifecycle. For async code, see ./async.mdAsyncSession mirrors this API with await.

See also

examples/orm/01_simple_crud.py Session lifecycle, mutations, flush, commit, and rollback in a single runnable file.

examples/orm/04_pagination_and_custom_queries.pysession.execute() for raw write queries; custom repository methods; offset pagination.

Opening a session

Session accepts a GraphDriver (or AsyncGraphDriver for the async variant). Use the helpers in runic.ogm.driver to build one:

python
from runic.ogm import Session, create_driver

# FalkorDB
driver = create_driver("falkordb", host="localhost", port=6379, graph="myapp")
with Session(driver) as session:
    ...   # commit on success, rollback on exception

# ArcadeDB (via Bolt)
driver = create_driver(
    "arcadedb",
    host="localhost", port=7687, database="mydb",
    username="root", password="playwithdata",
)
with Session(driver) as session:
    ...

Mutations

All writes go through the Session, never the Repository.

python
from runic.ogm import Session

with Session(driver) as session:
    # add: transient → pending; CREATE on flush
    session.add(entity)
    session.add_all([e1, e2])

    # update: set any field → _dirty = True; MERGE SET on flush
    entity.name = "New Name"

    # delete: persistent → deleted; DETACH DELETE on flush
    session.delete(entity)

    session.commit()    # flush + clear pending/deleted sets

Single-entity lookup

session.get() checks the identity map first, then queries the graph. Returns None if not found.

python
person = session.get(Person, "alice")
person_with_rels = session.get(Person, "alice", fetch=["company"])

Flush and commit

python
session.flush()     # execute writes; does not clear identity map
session.commit()    # flush + clear pending/deleted sets

Transaction model

Each flush() sends each pending entity as its own query. Entities with generated=True IDs must be flushed individually so the returned ID can be assigned before the next write.

rollback() discards the un-flushed pending/deleted sets only. Once flush() has executed queries, those writes are permanent.

Rollback

python
session = Session(driver)
try:
    session.add(Person(id="bob", name="Bob", email="bob@example.com"))
    session.rollback()   # discard pending; nothing written to graph
finally:
    session.close()

The context manager calls rollback() automatically on exception.

Expire and refresh

python
session.expire(entity)   # clear cached attrs; reloaded on next access
session.refresh(entity)  # immediate re-query from graph

Expunge

python
session.expunge(entity)   # remove from session → detached; no DB action
session.expunge_all()

Composable statement execution

select() creates a QueryBuilder that is not bound to a session. Build the statement freely — including conditional filters — then pass it to one of the session execution methods:

python
from runic.ogm import select

stmt = select(Person).where(Person.active == True)
if min_age > 0:
    stmt = stmt.where(Person.age >= min_age)

# All five execution methods accept a QueryBuilder
people: list[Person]  = session.scalars(stmt)
person: Person | None = session.scalar(stmt)
n:      int           = session.count(stmt)
rows:   list[dict]    = session.all_rows(stmt)

# Async sessions accept the same stmt
people = await async_session.scalars(stmt)

The same stmt object is reusable — execute it multiple times, against different sessions if needed. Each execution restores the session binding to None afterwards.

MethodReturns
scalars(stmt)list[T] — decoded node entities; T inferred from QueryBuilder[T]
scalar(stmt)T | None — first entity, or None if the result set is empty
count(stmt)int — total matching nodes
all_rows(stmt)list[dict[str, Any]] — raw column-value dicts
all_with_edges(stmt)list[tuple[Any, ...]] — tuples of (node, edge, node)

TIP

session.query(Person).where(...).all() is still fully supported. Prefer select() when you need to compose the query across multiple code paths before executing.

Raw Cypher

For the common cases prefer the query builder. session.execute() is the escape hatch for write mutations and Cypher features not covered by the builder.

python
from runic.ogm import select

# Prefer select() + session.scalars() for reads
stmt = (
    select(Person)
    .where(Person.id == "alice")
    .alias("p")
    .traverse(Person.knows).alias("f")
)
friends: list[Person] = session.scalars(stmt)

# Write mutations (SET, REMOVE, …) require session.execute(write=True)
session.execute(
    "MATCH (t:Trip {status: $old}) SET t.status = $new",
    {"old": "draft", "new": "archived"},
    write=True,
)

Session API summary

MethodDescription
add(entity)Transient/detached → pending
add_all([entities])Batch add
delete(entity)Persistent → deleted; DETACH DELETE on flush
get(EntityClass, pk, fetch=[])Identity map check → graph query; None if not found
flush()Execute pending/dirty/deleted sets; clear _dirty
commit()flush() + clear pending/deleted sets
rollback()Discard un-flushed pending/deleted sets; expire persistent entities
expire(entity)Invalidate attribute cache; reloaded on next access
refresh(entity)Immediate re-query from graph
expunge(entity)Remove from session (→ detached); no graph action
expunge_all()Expunge all tracked entities
scalars(stmt)Execute a select() statement; return list[T]
scalar(stmt)Execute a statement; return first T or None
count(stmt)Execute a statement; return row count as int
all_rows(stmt)Execute a statement; return list[dict[str, Any]]
all_with_edges(stmt)Execute a statement; return list[tuple[Any, ...]]
execute(cypher, params, write)Raw Cypher; returns GraphResult (.rows, .columns)
close()expunge_all() + release connection

Session best practices

Keep sessions short. Open a session for one logical operation and close it when done — don't hold sessions across long-running computations or between HTTP requests.

Always use the context manager. It commits on success and rolls back on exception automatically:

python
with Session(driver) as session:
    session.add_all([a, b, c])
    session.commit()

Commit in one place. Call commit() once at the end of a unit of work. Multiple commits in a single session create multiple logical transactions; prefer staging all changes then committing once.

Reuse the driver, not the session. Create the driver once at startup and close it on shutdown. Create a new Session for each request or operation.

Avoiding N+1

Lazy relationships fire one query per access. In a loop that is an N+1:

python
# BAD — one query for users, then one per user for articles
for user in session.scalars(select(User)):
    print(len(user.articles))   # lazy load each iteration

Use fetch= on session.get() to eager-load one entity's relations in a single query:

python
# GOOD for a single entity
user = session.get(User, "alice", fetch=["articles"])
for article in user.articles:   # already loaded
    print(article.title)

For a collection of parents, use a traversal query instead of a loop of get() calls:

python
# GOOD for a collection — single round-trip
from runic.ogm import select

stmt = (
    select(User).alias("u")
    .traverse(User.articles, edge_alias="e").alias("a")
    .return_nodes("u", "a")
)
rows = session.all_with_edges(stmt)

Async sessions have no lazy loading at all — the rule applies unconditionally. See ./async.md for async-specific patterns.

Connection management

ConnectionManager and AsyncConnectionManager wrap a FalkorDB graph handle for reuse across sessions:

python
from runic.ogm import ConnectionManager

manager = ConnectionManager(graph)
with manager.session() as session:
    ...

See also

./async.md — full async session guide including AsyncConnectionManager

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