DagsterDocs
Source code for dagster.core.storage.event_log.sql_event_log
import logging
from abc import abstractmethod
from collections import defaultdict
from datetime import datetime
from typing import Optional
import pendulum
import sqlalchemy as db
from dagster import check, seven
from dagster.core.assets import AssetDetails
from dagster.core.definitions.events import AssetKey, AssetMaterialization
from dagster.core.errors import DagsterEventLogInvalidForRun
from dagster.core.events import DagsterEventType
from dagster.core.events.log import EventRecord
from dagster.core.execution.stats import RunStepKeyStatsSnapshot, StepEventStatus
from dagster.serdes import deserialize_json_to_dagster_namedtuple, serialize_dagster_namedtuple
from dagster.utils import datetime_as_float, utc_datetime_from_naive, utc_datetime_from_timestamp
from ..pipeline_run import PipelineRunStatsSnapshot
from .base import EventLogStorage, extract_asset_events_cursor
from .migration import REINDEX_DATA_MIGRATIONS
from .schema import AssetKeyTable, SecondaryIndexMigrationTable, SqlEventLogStorageTable
[docs]class SqlEventLogStorage(EventLogStorage):
"""Base class for SQL backed event log storages.
Distinguishes between run-based connections and index connections in order to support run-level
sharding, while maintaining the ability to do cross-run queries
"""
@abstractmethod
def run_connection(self, run_id):
"""Context manager yielding a connection to access the event logs for a specific run.
Args:
run_id (Optional[str]): Enables those storages which shard based on run_id, e.g.,
SqliteEventLogStorage, to connect appropriately.
"""
@abstractmethod
def index_connection(self):
"""Context manager yielding a connection to access cross-run indexed tables.
Args:
run_id (Optional[str]): Enables those storages which shard based on run_id, e.g.,
SqliteEventLogStorage, to connect appropriately.
"""
@abstractmethod
def upgrade(self):
"""This method should perform any schema migrations necessary to bring an
out-of-date instance of the storage up to date.
"""
def prepare_insert_event(self, event):
"""Helper method for preparing the event log SQL insertion statement. Abstracted away to
have a single place for the logical table representation of the event, while having a way
for SQL backends to implement different execution implementations for `store_event`. See
the `dagster-postgres` implementation which overrides the generic SQL implementation of
`store_event`.
"""
dagster_event_type = None
asset_key_str = None
partition = None
step_key = event.step_key
if event.is_dagster_event:
dagster_event_type = event.dagster_event.event_type_value
step_key = event.dagster_event.step_key
if event.dagster_event.asset_key:
check.inst_param(event.dagster_event.asset_key, "asset_key", AssetKey)
asset_key_str = event.dagster_event.asset_key.to_string()
if event.dagster_event.partition:
partition = event.dagster_event.partition
# https://stackoverflow.com/a/54386260/324449
return SqlEventLogStorageTable.insert().values( # pylint: disable=no-value-for-parameter
run_id=event.run_id,
event=serialize_dagster_namedtuple(event),
dagster_event_type=dagster_event_type,
# Postgres requires a datetime that is in UTC but has no timezone info set
# in order to be stored correctly
timestamp=datetime.utcfromtimestamp(event.timestamp),
step_key=step_key,
asset_key=asset_key_str,
partition=partition,
)
def store_asset(self, event):
check.inst_param(event, "event", EventRecord)
if not event.is_dagster_event or not event.dagster_event.asset_key:
return
# We switched to storing the entire event record of the last materialization instead of just
# the AssetMaterialization object, so that we have access to metadata like timestamp,
# pipeline, run_id, etc.
#
# This should make certain asset queries way more performant, without having to do extra
# queries against the event log.
#
# This should be accompanied by a schema change in 0.12.0, renaming `last_materialization`
# to `last_materialization_event`, for clarity. For now, we should do some back-compat.
#
# https://github.com/dagster-io/dagster/issues/3945
with self.index_connection() as conn:
try:
conn.execute(
AssetKeyTable.insert().values( # pylint: disable=no-value-for-parameter
asset_key=event.dagster_event.asset_key.to_string(),
last_materialization=serialize_dagster_namedtuple(event),
)
)
except db.exc.IntegrityError:
conn.execute(
AssetKeyTable.update() # pylint: disable=no-value-for-parameter
.values(
last_materialization=serialize_dagster_namedtuple(event),
)
.where(
AssetKeyTable.c.asset_key == event.dagster_event.asset_key.to_string(),
)
)
def store_event(self, event):
"""Store an event corresponding to a pipeline run.
Args:
event (EventRecord): The event to store.
"""
check.inst_param(event, "event", EventRecord)
insert_event_statement = self.prepare_insert_event(event)
run_id = event.run_id
with self.run_connection(run_id) as conn:
conn.execute(insert_event_statement)
if event.is_dagster_event and event.dagster_event.asset_key:
self.store_asset(event)
def get_logs_for_run_by_log_id(self, run_id, cursor=-1):
check.str_param(run_id, "run_id")
check.int_param(cursor, "cursor")
check.invariant(
cursor >= -1,
"Don't know what to do with negative cursor {cursor}".format(cursor=cursor),
)
# cursor starts at 0 & auto-increment column starts at 1 so adjust
cursor = cursor + 1
query = (
db.select([SqlEventLogStorageTable.c.id, SqlEventLogStorageTable.c.event])
.where(SqlEventLogStorageTable.c.run_id == run_id)
.where(SqlEventLogStorageTable.c.id > cursor)
.order_by(SqlEventLogStorageTable.c.id.asc())
)
with self.run_connection(run_id) as conn:
results = conn.execute(query).fetchall()
events = {}
try:
for (
record_id,
json_str,
) in results:
events[record_id] = check.inst_param(
deserialize_json_to_dagster_namedtuple(json_str), "event", EventRecord
)
except (seven.JSONDecodeError, check.CheckError) as err:
raise DagsterEventLogInvalidForRun(run_id=run_id) from err
return events
def get_logs_for_run(self, run_id, cursor=-1):
"""Get all of the logs corresponding to a run.
Args:
run_id (str): The id of the run for which to fetch logs.
cursor (Optional[int]): Zero-indexed logs will be returned starting from cursor + 1,
i.e., if cursor is -1, all logs will be returned. (default: -1)
"""
check.str_param(run_id, "run_id")
check.int_param(cursor, "cursor")
check.invariant(
cursor >= -1,
"Don't know what to do with negative cursor {cursor}".format(cursor=cursor),
)
events_by_id = self.get_logs_for_run_by_log_id(run_id, cursor)
return [event for id, event in sorted(events_by_id.items(), key=lambda x: x[0])]
def get_stats_for_run(self, run_id):
check.str_param(run_id, "run_id")
query = (
db.select(
[
SqlEventLogStorageTable.c.dagster_event_type,
db.func.count().label("n_events_of_type"),
db.func.max(SqlEventLogStorageTable.c.timestamp).label("last_event_timestamp"),
]
)
.where(SqlEventLogStorageTable.c.run_id == run_id)
.group_by("dagster_event_type")
)
with self.run_connection(run_id) as conn:
results = conn.execute(query).fetchall()
try:
counts = {}
times = {}
for result in results:
(dagster_event_type, n_events_of_type, last_event_timestamp) = result
if dagster_event_type:
counts[dagster_event_type] = n_events_of_type
times[dagster_event_type] = last_event_timestamp
enqueued_time = times.get(DagsterEventType.PIPELINE_ENQUEUED.value, None)
launch_time = times.get(DagsterEventType.PIPELINE_STARTING.value, None)
start_time = times.get(DagsterEventType.PIPELINE_START.value, None)
end_time = times.get(
DagsterEventType.PIPELINE_SUCCESS.value,
times.get(
DagsterEventType.PIPELINE_FAILURE.value,
times.get(DagsterEventType.PIPELINE_CANCELED.value, None),
),
)
return PipelineRunStatsSnapshot(
run_id=run_id,
steps_succeeded=counts.get(DagsterEventType.STEP_SUCCESS.value, 0),
steps_failed=counts.get(DagsterEventType.STEP_FAILURE.value, 0),
materializations=counts.get(DagsterEventType.ASSET_MATERIALIZATION.value, 0),
expectations=counts.get(DagsterEventType.STEP_EXPECTATION_RESULT.value, 0),
enqueued_time=datetime_as_float(enqueued_time) if enqueued_time else None,
launch_time=datetime_as_float(launch_time) if launch_time else None,
start_time=datetime_as_float(start_time) if start_time else None,
end_time=datetime_as_float(end_time) if end_time else None,
)
except (seven.JSONDecodeError, check.CheckError) as err:
raise DagsterEventLogInvalidForRun(run_id=run_id) from err
def get_step_stats_for_run(self, run_id, step_keys=None):
check.str_param(run_id, "run_id")
check.opt_list_param(step_keys, "step_keys", of_type=str)
STEP_STATS_EVENT_TYPES = [
DagsterEventType.STEP_START.value,
DagsterEventType.STEP_SUCCESS.value,
DagsterEventType.STEP_SKIPPED.value,
DagsterEventType.STEP_FAILURE.value,
DagsterEventType.STEP_RESTARTED.value,
]
by_step_query = (
db.select(
[
SqlEventLogStorageTable.c.step_key,
SqlEventLogStorageTable.c.dagster_event_type,
db.func.max(SqlEventLogStorageTable.c.timestamp).label("timestamp"),
db.func.count(SqlEventLogStorageTable.c.id).label("n_events_of_type_for_step"),
]
)
.where(SqlEventLogStorageTable.c.run_id == run_id)
.where(SqlEventLogStorageTable.c.step_key != None)
.where(SqlEventLogStorageTable.c.dagster_event_type.in_(STEP_STATS_EVENT_TYPES))
)
if step_keys:
by_step_query = by_step_query.where(SqlEventLogStorageTable.c.step_key.in_(step_keys))
by_step_query = by_step_query.group_by(
SqlEventLogStorageTable.c.step_key,
SqlEventLogStorageTable.c.dagster_event_type,
)
with self.run_connection(run_id) as conn:
results = conn.execute(by_step_query).fetchall()
by_step_key = defaultdict(dict)
for result in results:
step_key = result.step_key
if result.dagster_event_type == DagsterEventType.STEP_START.value:
by_step_key[step_key]["start_time"] = (
datetime_as_float(result.timestamp) if result.timestamp else None
)
by_step_key[step_key]["attempts"] = by_step_key[step_key].get("attempts", 0) + 1
if result.dagster_event_type == DagsterEventType.STEP_RESTARTED.value:
by_step_key[step_key]["attempts"] = (
# In case we see step retarted events but not a step started event, we want to
# only count the restarted events, since the attempt count represents
# the number of times we have successfully started runnning the step
by_step_key[step_key].get("attempts", 0)
+ result.n_events_of_type_for_step
)
if result.dagster_event_type == DagsterEventType.STEP_FAILURE.value:
by_step_key[step_key]["end_time"] = (
datetime_as_float(result.timestamp) if result.timestamp else None
)
by_step_key[step_key]["status"] = StepEventStatus.FAILURE
if result.dagster_event_type == DagsterEventType.STEP_SUCCESS.value:
by_step_key[step_key]["end_time"] = (
datetime_as_float(result.timestamp) if result.timestamp else None
)
by_step_key[step_key]["status"] = StepEventStatus.SUCCESS
if result.dagster_event_type == DagsterEventType.STEP_SKIPPED.value:
by_step_key[step_key]["end_time"] = (
datetime_as_float(result.timestamp) if result.timestamp else None
)
by_step_key[step_key]["status"] = StepEventStatus.SKIPPED
materializations = defaultdict(list)
expectation_results = defaultdict(list)
raw_event_query = (
db.select([SqlEventLogStorageTable.c.event])
.where(SqlEventLogStorageTable.c.run_id == run_id)
.where(SqlEventLogStorageTable.c.step_key != None)
.where(
SqlEventLogStorageTable.c.dagster_event_type.in_(
[
DagsterEventType.ASSET_MATERIALIZATION.value,
DagsterEventType.STEP_EXPECTATION_RESULT.value,
]
)
)
.order_by(SqlEventLogStorageTable.c.id.asc())
)
if step_keys:
raw_event_query = raw_event_query.where(
SqlEventLogStorageTable.c.step_key.in_(step_keys)
)
with self.run_connection(run_id) as conn:
results = conn.execute(raw_event_query).fetchall()
try:
for (json_str,) in results:
event = check.inst_param(
deserialize_json_to_dagster_namedtuple(json_str), "event", EventRecord
)
if event.dagster_event.event_type == DagsterEventType.ASSET_MATERIALIZATION:
materializations[event.step_key].append(
event.dagster_event.event_specific_data.materialization
)
elif event.dagster_event.event_type == DagsterEventType.STEP_EXPECTATION_RESULT:
expectation_results[event.step_key].append(
event.dagster_event.event_specific_data.expectation_result
)
except (seven.JSONDecodeError, check.CheckError) as err:
raise DagsterEventLogInvalidForRun(run_id=run_id) from err
return [
RunStepKeyStatsSnapshot(
run_id=run_id,
step_key=step_key,
status=value.get("status"),
start_time=value.get("start_time"),
end_time=value.get("end_time"),
materializations=materializations.get(step_key),
expectation_results=expectation_results.get(step_key),
attempts=value.get("attempts"),
)
for step_key, value in by_step_key.items()
]
def reindex(self, print_fn=None, force=False):
"""Call this method to run any data migrations, reindexing to build summary tables."""
# Should be overridden by SqliteEventLogStorage and other storages that shard based on
# run_id
for migration_name, migration_fn in REINDEX_DATA_MIGRATIONS.items():
if self.has_secondary_index(migration_name):
if not force:
if print_fn:
print_fn("Skipping already reindexed summary: {}".format(migration_name))
continue
if print_fn:
print_fn("Starting reindex: {}".format(migration_name))
migration_fn()(self, print_fn)
self.enable_secondary_index(migration_name)
if print_fn:
print_fn("Finished reindexing: {}".format(migration_name))
def wipe(self):
"""Clears the event log storage."""
# Should be overridden by SqliteEventLogStorage and other storages that shard based on
# run_id
# https://stackoverflow.com/a/54386260/324449
with self.run_connection(run_id=None) as conn:
conn.execute(SqlEventLogStorageTable.delete()) # pylint: disable=no-value-for-parameter
conn.execute(AssetKeyTable.delete()) # pylint: disable=no-value-for-parameter
with self.index_connection() as conn:
conn.execute(SqlEventLogStorageTable.delete()) # pylint: disable=no-value-for-parameter
conn.execute(AssetKeyTable.delete()) # pylint: disable=no-value-for-parameter
def delete_events(self, run_id):
with self.run_connection(run_id) as conn:
self.delete_events_for_run(conn, run_id)
def delete_events_for_run(self, conn, run_id):
check.str_param(run_id, "run_id")
delete_statement = (
SqlEventLogStorageTable.delete().where( # pylint: disable=no-value-for-parameter
SqlEventLogStorageTable.c.run_id == run_id
)
)
removed_asset_key_query = (
db.select([SqlEventLogStorageTable.c.asset_key])
.where(SqlEventLogStorageTable.c.run_id == run_id)
.where(SqlEventLogStorageTable.c.asset_key != None)
.group_by(SqlEventLogStorageTable.c.asset_key)
)
removed_asset_keys = [
AssetKey.from_db_string(row[0])
for row in conn.execute(removed_asset_key_query).fetchall()
]
conn.execute(delete_statement)
if len(removed_asset_keys) > 0:
keys_to_check = []
keys_to_check.extend([key.to_string() for key in removed_asset_keys])
keys_to_check.extend([key.to_string(legacy=True) for key in removed_asset_keys])
remaining_asset_keys = [
AssetKey.from_db_string(row[0])
for row in conn.execute(
db.select([SqlEventLogStorageTable.c.asset_key])
.where(SqlEventLogStorageTable.c.asset_key.in_(keys_to_check))
.group_by(SqlEventLogStorageTable.c.asset_key)
)
]
to_remove = set(removed_asset_keys) - set(remaining_asset_keys)
if to_remove:
keys_to_remove = []
keys_to_remove.extend([key.to_string() for key in to_remove])
keys_to_remove.extend([key.to_string(legacy=True) for key in to_remove])
conn.execute(
AssetKeyTable.delete().where( # pylint: disable=no-value-for-parameter
AssetKeyTable.c.asset_key.in_(keys_to_remove)
)
)
@property
def is_persistent(self):
return True
def update_event_log_record(self, record_id, event):
""" Utility method for migration scripts to update SQL representation of event records. """
check.int_param(record_id, "record_id")
check.inst_param(event, "event", EventRecord)
dagster_event_type = None
asset_key_str = None
if event.is_dagster_event:
dagster_event_type = event.dagster_event.event_type_value
if event.dagster_event.asset_key:
check.inst_param(event.dagster_event.asset_key, "asset_key", AssetKey)
asset_key_str = event.dagster_event.asset_key.to_string()
with self.run_connection(run_id=event.run_id) as conn:
conn.execute(
SqlEventLogStorageTable.update() # pylint: disable=no-value-for-parameter
.where(SqlEventLogStorageTable.c.id == record_id)
.values(
event=serialize_dagster_namedtuple(event),
dagster_event_type=dagster_event_type,
timestamp=utc_datetime_from_timestamp(event.timestamp),
step_key=event.step_key,
asset_key=asset_key_str,
)
)
def get_event_log_table_data(self, run_id, record_id):
"""Utility method to test representation of the record in the SQL table. Returns all of
the columns stored in the event log storage (as opposed to the deserialized `EventRecord`).
This allows checking that certain fields are extracted to support performant lookups (e.g.
extracting `step_key` for fast filtering)"""
with self.run_connection(run_id=run_id) as conn:
query = (
db.select([SqlEventLogStorageTable])
.where(SqlEventLogStorageTable.c.id == record_id)
.order_by(SqlEventLogStorageTable.c.id.asc())
)
return conn.execute(query).fetchone()
def has_secondary_index(self, name):
"""This method uses a checkpoint migration table to see if summary data has been constructed
in a secondary index table. Can be used to checkpoint event_log data migrations.
"""
query = (
db.select([1])
.where(SecondaryIndexMigrationTable.c.name == name)
.where(SecondaryIndexMigrationTable.c.migration_completed != None)
.limit(1)
)
with self.index_connection() as conn:
results = conn.execute(query).fetchall()
return len(results) > 0
def enable_secondary_index(self, name):
"""This method marks an event_log data migration as complete, to indicate that a summary
data migration is complete.
"""
query = (
SecondaryIndexMigrationTable.insert().values( # pylint: disable=no-value-for-parameter
name=name,
migration_completed=datetime.now(),
)
)
with self.index_connection() as conn:
try:
conn.execute(query)
except db.exc.IntegrityError:
conn.execute(
SecondaryIndexMigrationTable.update() # pylint: disable=no-value-for-parameter
.where(SecondaryIndexMigrationTable.c.name == name)
.values(migration_completed=datetime.now())
)
def _add_cursor_limit_to_query(
self, query, before_cursor, after_cursor, limit, ascending=False
):
""" Helper function to deal with cursor/limit pagination args """
if before_cursor:
before_query = db.select([SqlEventLogStorageTable.c.id]).where(
SqlEventLogStorageTable.c.id == before_cursor
)
query = query.where(SqlEventLogStorageTable.c.id < before_query)
if after_cursor:
after_query = db.select([SqlEventLogStorageTable.c.id]).where(
SqlEventLogStorageTable.c.id == after_cursor
)
query = query.where(SqlEventLogStorageTable.c.id > after_query)
if limit:
query = query.limit(limit)
if ascending:
query = query.order_by(SqlEventLogStorageTable.c.timestamp.asc())
else:
query = query.order_by(SqlEventLogStorageTable.c.timestamp.desc())
return query
def has_asset_key(self, asset_key: AssetKey) -> bool:
check.inst_param(asset_key, "asset_key", AssetKey)
query = (
db.select([AssetKeyTable.c.asset_key, AssetKeyTable.c.asset_details])
.where(
db.or_(
AssetKeyTable.c.asset_key == asset_key.to_string(),
AssetKeyTable.c.asset_key == asset_key.to_string(legacy=True),
)
)
.limit(1)
)
with self.index_connection() as conn:
row = conn.execute(query).fetchone()
if not row:
return False
asset_details: Optional[AssetDetails] = AssetDetails.from_db_string(row[1])
if not asset_details or not asset_details.last_wipe_timestamp:
return True
materialization_row = conn.execute(
db.select([SqlEventLogStorageTable.c.timestamp])
.where(
db.or_(
AssetKeyTable.c.asset_key == asset_key.to_string(),
AssetKeyTable.c.asset_key == asset_key.to_string(legacy=True),
)
)
.order_by(SqlEventLogStorageTable.c.timestamp.desc())
.limit(1)
).fetchone()
if not materialization_row:
return False
return utc_datetime_from_naive(materialization_row[0]) > utc_datetime_from_timestamp(
asset_details.last_wipe_timestamp
)
def all_asset_keys(self):
with self.index_connection() as conn:
results = conn.execute(
db.select([AssetKeyTable.c.asset_key, AssetKeyTable.c.asset_details])
).fetchall()
asset_keys = set()
wiped = set()
wiped_timestamps = {}
for result in results:
asset_key = AssetKey.from_db_string(result[0])
asset_details: Optional[AssetDetails] = AssetDetails.from_db_string(result[1])
asset_keys.add(asset_key)
if asset_details and asset_details.last_wipe_timestamp:
wiped_timestamps[asset_key] = asset_details.last_wipe_timestamp
if wiped_timestamps:
materialized_timestamps = {}
# fetch the last materialization timestamp per asset key
materialization_results = conn.execute(
db.select(
[
SqlEventLogStorageTable.c.asset_key,
db.func.max(SqlEventLogStorageTable.c.timestamp),
]
)
.where(
SqlEventLogStorageTable.c.asset_key.in_(
[asset_key.to_string() for asset_key in wiped_timestamps.keys()]
)
)
.group_by(SqlEventLogStorageTable.c.asset_key)
.order_by(db.func.max(SqlEventLogStorageTable.c.timestamp).asc())
).fetchall()
for result in materialization_results:
asset_key = AssetKey.from_db_string(result[0])
last_materialized_timestamp = result[1]
materialized_timestamps[asset_key] = last_materialized_timestamp
# calculate the set of wiped asset keys that have not had a materialization since
# the wipe timestamp
wiped = set(
[
asset_key
for asset_key in wiped_timestamps.keys()
if not materialized_timestamps.get(asset_key)
or utc_datetime_from_naive(materialized_timestamps.get(asset_key))
< utc_datetime_from_timestamp(wiped_timestamps[asset_key])
]
)
return list(asset_keys.difference(wiped))
def _get_asset_details(self, asset_key):
check.inst_param(asset_key, "asset_key", AssetKey)
row = None
with self.index_connection() as conn:
row = conn.execute(
db.select([AssetKeyTable.c.asset_details]).where(
AssetKeyTable.c.asset_key == asset_key.to_string()
)
).fetchone()
if not row or not row[0]:
return None
return deserialize_json_to_dagster_namedtuple(row[0])
def _add_asset_wipe_filter_to_query(self, query, asset_details):
if not asset_details or not asset_details.last_wipe_timestamp:
return query
return query.where(
SqlEventLogStorageTable.c.timestamp
> utc_datetime_from_timestamp(asset_details.last_wipe_timestamp)
)
def get_asset_events(
self,
asset_key,
partitions=None,
before_cursor=None,
after_cursor=None,
limit=None,
ascending=False,
include_cursor=False,
cursor=None, # deprecated
):
check.inst_param(asset_key, "asset_key", AssetKey)
check.opt_list_param(partitions, "partitions", of_type=str)
query = db.select([SqlEventLogStorageTable.c.id, SqlEventLogStorageTable.c.event]).where(
db.or_(
SqlEventLogStorageTable.c.asset_key == asset_key.to_string(),
SqlEventLogStorageTable.c.asset_key == asset_key.to_string(legacy=True),
)
)
if partitions:
query = query.where(SqlEventLogStorageTable.c.partition.in_(partitions))
asset_details = self._get_asset_details(asset_key)
query = self._add_asset_wipe_filter_to_query(query, asset_details)
before_cursor, after_cursor = extract_asset_events_cursor(
cursor, before_cursor, after_cursor, ascending
)
query = self._add_cursor_limit_to_query(
query, before_cursor, after_cursor, limit, ascending=ascending
)
with self.index_connection() as conn:
results = conn.execute(query).fetchall()
events = []
for row_id, json_str in results:
try:
event_record = deserialize_json_to_dagster_namedtuple(json_str)
if not isinstance(event_record, EventRecord):
logging.warning(
"Could not resolve asset event record as EventRecord for id `{}`.".format(
row_id
)
)
continue
if include_cursor:
events.append(tuple([row_id, event_record]))
else:
events.append(event_record)
except seven.JSONDecodeError:
logging.warning("Could not parse asset event record id `{}`.".format(row_id))
return events
def get_asset_run_ids(self, asset_key):
check.inst_param(asset_key, "asset_key", AssetKey)
query = (
db.select(
[SqlEventLogStorageTable.c.run_id, db.func.max(SqlEventLogStorageTable.c.timestamp)]
)
.where(
db.or_(
SqlEventLogStorageTable.c.asset_key == asset_key.to_string(),
SqlEventLogStorageTable.c.asset_key == asset_key.to_string(legacy=True),
)
)
.group_by(
SqlEventLogStorageTable.c.run_id,
)
.order_by(db.func.max(SqlEventLogStorageTable.c.timestamp).desc())
)
asset_details = self._get_asset_details(asset_key)
query = self._add_asset_wipe_filter_to_query(query, asset_details)
with self.index_connection() as conn:
results = conn.execute(query).fetchall()
return [run_id for (run_id, _timestamp) in results]
def _asset_materialization_from_json_column(self, json_str):
if not json_str:
return None
# We switched to storing the entire event record of the last materialization instead of just
# the AssetMaterialization object, so that we have access to metadata like timestamp,
# pipeline, run_id, etc.
#
# This should make certain asset queries way more performant, without having to do extra
# queries against the event log.
#
# This should be accompanied by a schema change in 0.12.0, renaming `last_materialization`
# to `last_materialization_event`, for clarity. For now, we should do some back-compat.
#
# https://github.com/dagster-io/dagster/issues/3945
event_or_materialization = deserialize_json_to_dagster_namedtuple(json_str)
if isinstance(event_or_materialization, AssetMaterialization):
return event_or_materialization
if (
not isinstance(event_or_materialization, EventRecord)
or not event_or_materialization.is_dagster_event
or not event_or_materialization.dagster_event.asset_key
):
return None
return event_or_materialization.dagster_event.step_materialization_data.materialization
def all_asset_tags(self):
query = db.select([AssetKeyTable.c.asset_key, AssetKeyTable.c.last_materialization])
tags_by_asset_key = defaultdict(dict)
with self.index_connection() as conn:
rows = conn.execute(query).fetchall()
for asset_key, json_str in rows:
materialization = self._asset_materialization_from_json_column(json_str)
if materialization and materialization.tags:
tags_by_asset_key[AssetKey.from_db_string(asset_key)] = {
k: v for k, v in materialization.tags.items()
}
return tags_by_asset_key
def get_asset_tags(self, asset_key):
check.inst_param(asset_key, "asset_key", AssetKey)
query = db.select([AssetKeyTable.c.last_materialization]).where(
AssetKeyTable.c.asset_key == asset_key.to_string()
)
with self.index_connection() as conn:
rows = conn.execute(query).fetchall()
if not rows or not rows[0] or not rows[0][0]:
return {}
materialization = self._asset_materialization_from_json_column(rows[0][0])
return materialization.tags if materialization and materialization.tags else {}
def wipe_asset(self, asset_key):
check.inst_param(asset_key, "asset_key", AssetKey)
with self.index_connection() as conn:
conn.execute(
AssetKeyTable.update() # pylint: disable=no-value-for-parameter
.where(
db.or_(
AssetKeyTable.c.asset_key == asset_key.to_string(),
AssetKeyTable.c.asset_key == asset_key.to_string(legacy=True),
)
)
.values(
last_materialization=None,
last_run_id=None,
asset_details=serialize_dagster_namedtuple(
AssetDetails(last_wipe_timestamp=pendulum.now("UTC").timestamp())
),
)
)