def get_concerned_users(self, all_members=True):
owners = DB.query(model.User).join(model.PackageRole)
owners = owners.filter(model.PackageRole.package_id == self.dataset.id)
owners = owners.filter(model.PackageRole.role == model.Role.ADMIN)
admins = DB.query(model.User).filter(model.User.sysadmin == True)
queries = [owners, admins]
organization = model.Group.get(self.dataset.owner_org) if self.dataset.owner_org else None
if organization:
org_members = DB.query(model.User)
org_members = org_members.join(model.Member, model.Member.table_id == model.User.id)
org_members = org_members.filter(
model.Member.group == organization,
model.Member.state == 'active',
model.Member.table_name == 'user',
)
if not all_members:
org_members = org_members.filter(sql.or_(
model.Member.capacity == model.Role.ADMIN,
model.Member.capacity == model.Role.EDITOR,
))
queries.append(org_members)
queries = (q.subquery().select() for q in queries)
return DB.query(model.User).select_from(sql.union(*queries))
def sqlalchemy_view_declaration(cls):
T1 = cls.registry.T1
TP = cls.registry.T1.aliased()
T2 = cls.registry.T2
subquery = union(
select([
T1.code.label('code'),
TP.id.label('parent_val1'),
TP.code.label('parent_code')
]).where(T1.parent_id == TP.id),
select([
T1.code.label('code'),
expression.literal_column("null as parent_val1"),
expression.literal_column("null as parent_code")
]).where(T1.parent_id.is_(None))).alias()
query = select([
T1.code.label('code'),
T1.val.label('val1'),
T2.val.label('val2'),
subquery.c.parent_val1.label('parent_val1'),
subquery.c.parent_code.label('parent_code')
])
query = query.where(subquery.c.code == T1.code)
query = query.where(subquery.c.code == T2.code)
return query
def get_busiest_airports() -> Response:
"""Get the busiest airport"""
limit = request.args.get("limit", 10)
query = request.args.get("query")
since = int(request.args.get("since", 0))
if query:
result = flights_engine.execute(
union(
select([flights.c.origin]).distinct().where(
flights.c.origin.like(f"%{query}%")),
select([flights.c.destination]).distinct().where(
flights.c.destination.like(f"%{query}%")),
))
if result is None:
abort(404)
return jsonify([row[0] for row in result])
return jsonify([
row.origin for row in flights_engine.execute(
select([flights.c.origin]).where(
func.coalesce(flights.c.actual_off, flights.c.actual_out) > (
select([
func.datetime(func.max(flights.c.actual_off),
text(f"'-{since} hours'"))
]))).group_by(flights.c.origin).order_by(
func.count().desc(), flights.c.origin).limit(limit))
])
def permissions(request, kiosk_id):
from Model import User
from sqlalchemy.sql import union, select
kiosk = request.db_session.query(Kiosk).filter_by(id=kiosk_id).first()
ckmt = CompanyKioskManager.__table__
kkmt = KioskKioskManager.__table__
company_granted = select(
[ckmt.c.company_id.label('company'),
ckmt.c.user_id.label('user_id'),
kkmt.c.kiosk_id.label('kiosk')],
from_obj=ckmt.outerjoin(kkmt, ckmt.c.user_id == kkmt.c.user_id)).\
where(or_(kkmt.c.kiosk_id == kiosk_id, None == kkmt.c.kiosk_id))
kiosk_granted = select(
[ckmt.c.company_id.label('company'),
kkmt.c.user_id.label('user_id'),
kkmt.c.kiosk_id.label('kiosk')],
from_obj=kkmt.outerjoin(ckmt, kkmt.c.user_id == ckmt.c.user_id)).\
where(or_(kkmt.c.kiosk_id == kiosk_id, None == kkmt.c.kiosk_id))
granted = union(company_granted, kiosk_granted).alias('granted')
kiosk_granted = request.db_session.query(User)\
.join(kiosk_granted.alias('kg'), User.id == kiosk_granted.c.user_id).all()
granted_users = request.db_session.query(granted, User).join(User, granted.c.user_id == User.id).all()
return render(request, 'kiosk_permissions.html',
{'users': [u for u in kiosk.company.users if u not in kiosk_granted],
'granted': granted_users,
'kioskId': kiosk_id})
def get_concerned_users(self, all_members=True):
owners = DB.query(model.User).join(model.PackageRole)
owners = owners.filter(model.PackageRole.package_id == self.dataset.id)
owners = owners.filter(model.PackageRole.role == model.Role.ADMIN)
admins = DB.query(model.User).filter(model.User.sysadmin == True)
queries = [owners, admins]
organization = model.Group.get(
self.dataset.owner_org) if self.dataset.owner_org else None
if organization:
org_members = DB.query(model.User)
org_members = org_members.join(
model.Member, model.Member.table_id == model.User.id)
org_members = org_members.filter(
model.Member.group == organization,
model.Member.state == 'active',
model.Member.table_name == 'user',
)
if not all_members:
org_members = org_members.filter(
sql.or_(
model.Member.capacity == model.Role.ADMIN,
model.Member.capacity == model.Role.EDITOR,
))
queries.append(org_members)
queries = (q.subquery().select() for q in queries)
return DB.query(model.User).select_from(sql.union(*queries))
def last_modified(*av):
"""
Return most recent timestamp for a package revision, with optionally
extra where clause.
"""
from ckan import model
where = []
for arg in av:
if isinstance(arg, expression.ClauseElement) or isinstance(
arg, basestring):
where.append(arg)
where_clauses = [
and_(
model.package_table.c.revision_id == model.revision_table.c.id,
*where),
and_(
model.package_extra_table.c.package_id ==
model.package_table.c.id,
model.package_extra_table.c.revision_id ==
model.revision_table.c.id, *where),
and_(
model.package_relationship_table.c.subject_package_id ==
model.package_table.c.id,
model.package_relationship_table.c.revision_id ==
model.revision_table.c.id, *where),
and_(
model.package_relationship_table.c.object_package_id ==
model.package_table.c.id,
model.package_relationship_table.c.revision_id ==
model.revision_table.c.id, *where),
and_(
model.resource_group_table.c.package_id ==
model.package_table.c.id,
model.resource_group_table.c.revision_id ==
model.revision_table.c.id, *where),
and_(
model.resource_group_table.c.package_id ==
model.package_table.c.id,
model.resource_table.c.resource_group_id ==
model.resource_group_table.c.id,
model.resource_table.c.revision_id ==
model.revision_table.c.id, *where),
and_(
model.package_tag_table.c.package_id ==
model.package_table.c.id, model.package_tag_table.c.revision_id
== model.revision_table.c.id, *where)
]
query = union(*[
select([model.revision_table.c.timestamp], x)
for x in where_clauses
]).order_by("timestamp DESC").limit(1)
conn = model.meta.engine.connect()
result = conn.execute(query).fetchone()
if result:
timestamp = result[0].utctimetuple()
usecs = float(result[0].microsecond) / 1e6
else:
timestamp, usecs = gmtime(), 0
# use timegm instead of mktime, because we don't want it localised
return timegm(timestamp) + usecs
def last_modified(*av):
"""
Return most recent timestamp for a package revision, with optionally
extra where clause.
"""
from ckan import model
where = []
for arg in av:
if isinstance(arg, expression.ClauseElement) or isinstance(arg, basestring):
where.append(arg)
where_clauses = [
and_(model.package_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_extra_table.c.package_id == model.package_table.c.id,
model.package_extra_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.subject_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.object_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_resource_table.c.package_id == model.package_table.c.id,
model.package_resource_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_tag_table.c.package_id == model.package_table.c.id,
model.package_tag_table.c.revision_id == model.revision_table.c.id, *where)
]
query = union(*[select([model.revision_table.c.timestamp], x) for x in where_clauses]
).order_by("timestamp DESC").limit(1)
conn = model.meta.engine.connect()
result = conn.execute(query).fetchone()
if result:
timestamp = result[0].utctimetuple()
usecs = float(result[0].microsecond) / 1e6
else:
timestamp, usecs = gmtime(), 0
return mktime(timestamp) + usecs
def ListMutualFriends(self, request, context):
if context.user_id == request.user_id:
return api_pb2.ListMutualFriendsRes(mutual_friends=[])
with session_scope() as session:
user = session.execute(
select(User).where_users_visible(context).where(
User.id == request.user_id)).scalar_one_or_none()
if not user:
context.abort(grpc.StatusCode.NOT_FOUND, errors.USER_NOT_FOUND)
q1 = (select(
FriendRelationship.from_user_id.label("user_id")).where(
FriendRelationship.to_user_id == context.user_id).where(
FriendRelationship.from_user_id != request.user_id).
where(FriendRelationship.status == FriendStatus.accepted))
q2 = (select(FriendRelationship.to_user_id.label("user_id")).where(
FriendRelationship.from_user_id == context.user_id).where(
FriendRelationship.to_user_id != request.user_id).where(
FriendRelationship.status == FriendStatus.accepted))
q3 = (select(
FriendRelationship.from_user_id.label("user_id")).where(
FriendRelationship.to_user_id == request.user_id).where(
FriendRelationship.from_user_id != context.user_id).
where(FriendRelationship.status == FriendStatus.accepted))
q4 = (select(FriendRelationship.to_user_id.label("user_id")).where(
FriendRelationship.from_user_id == request.user_id).where(
FriendRelationship.to_user_id != context.user_id).where(
FriendRelationship.status == FriendStatus.accepted))
mutual = select(intersect(union(q1, q2), union(q3, q4)).subquery())
mutual_friends = (session.execute(
select(User).where_users_visible(context).where(
User.id.in_(mutual))).scalars().all())
return api_pb2.ListMutualFriendsRes(mutual_friends=[
api_pb2.MutualFriend(user_id=mutual_friend.id,
username=mutual_friend.username,
name=mutual_friend.name)
for mutual_friend in mutual_friends
])
def are_blocked(session, user1_id, user2_id):
blocked_users = (select(UserBlock.blocked_user_id).where(
UserBlock.blocking_user_id == user1_id).where(
UserBlock.blocked_user_id == user2_id))
blocking_users = (select(UserBlock.blocking_user_id).where(
UserBlock.blocking_user_id == user2_id).where(
UserBlock.blocked_user_id == user1_id))
return session.execute(
select(union(blocked_users,
blocking_users).subquery())).first() is not None
def _relevant_user_blocks(user_id):
"""
Gets list of blocked user IDs or users that have blocked this user: those should be hidden
"""
blocked_users = couchers_select(
UserBlock.blocked_user_id).where(UserBlock.blocking_user_id == user_id)
blocking_users = couchers_select(
UserBlock.blocking_user_id).where(UserBlock.blocked_user_id == user_id)
return couchers_select(union(blocked_users, blocking_users).subquery())
def removeDataset(self, ref):
# Docstring inherited from Registry.removeDataset.
if not ref.id:
raise AmbiguousDatasetError(f"Cannot remove dataset {ref} without ID.")
# Remove component datasets. We assume ``ref.components`` is already
# correctly populated, and rely on ON DELETE CASCADE to remove entries
# from DatasetComposition.
for componentRef in ref.components.values():
self.removeDataset(componentRef)
datasetTable = self._schema.tables["dataset"]
# Remove related quanta. We actually delete from Execution, because
# Quantum's primary key (quantum_id) is also a foreign key to
# Execution.execution_id. We then rely on ON DELETE CASCADE to remove
# the Quantum record as well as any related records in
# DatasetConsumers. Note that we permit a Quantum to be deleted
# without removing the Datasets it refers to, but do not allow a
# Dataset to be deleting without removing the Quanta that refer to
# them. A Dataset is still quite usable without provenance, but
# provenance is worthless if it's inaccurate.
executionTable = self._schema.tables["execution"]
datasetConsumersTable = self._schema.tables["dataset_consumers"]
selectProducer = select(
[datasetTable.c.quantum_id]
).where(
datasetTable.c.dataset_id == ref.id
)
selectConsumers = select(
[datasetConsumersTable.c.quantum_id]
).where(
datasetConsumersTable.c.dataset_id == ref.id
)
self._connection.execute(
executionTable.delete().where(
executionTable.c.execution_id.in_(union(selectProducer, selectConsumers))
)
)
# Remove the Dataset record itself. We rely on ON DELETE CASCADE to
# remove from DatasetCollection, and assume foreign key violations
# come from DatasetLocation (everything else should have an ON DELETE).
try:
self._connection.execute(
datasetTable.delete().where(datasetTable.c.dataset_id == ref.id)
)
except IntegrityError as err:
raise OrphanedRecordError(f"Dataset {ref} is still present in one or more Datastores.") from err
def get_all_assessment_guids():
'''
Get all unique assessment guids from `Constants.TSB_METADATA` and `Constants.TSB_ERROR` tables.
If a TSB request being processed successfully, a metadata record will be saved to `Constants.TSB_METADATA`,
while an error record will be saved to `Constants.TSB_ERROR` in case of a request failed. This is the
reason that this function need to look into both tables.
'''
with TSBDBConnection() as conn:
# query guids from metadata table
tsb_metadata = conn.get_table(Constants.TSB_METADATA)
query_metadata = Select(
[tsb_metadata.c.state_code, tsb_metadata.c.asmt_guid])
# query guids from error message table
tsb_error = conn.get_table(Constants.TSB_ERROR)
query_error = Select([tsb_error.c.state_code, tsb_error.c.asmt_guid])
return conn.execute(union(query_metadata, query_error)).fetchall()
def sqlalchemy_view_declaration(cls):
T1 = cls.registry.T1
TP = cls.registry.T1.aliased()
T2 = cls.registry.T2
subquery = union(
select([
T1.code.label('code'),
TP.code.label('parent_code')]
).where(T1.parent_id == TP.id),
select([
T1.code.label('code'),
expression.literal_column("null as parent_code")
]).where(T1.parent_id.is_(None))
).alias()
query = select([T1.code.label('code'),
T1.val.label('val1'),
T2.val.label('val2'),
subquery.c.parent_code.label('parent_code')])
query = query.where(subquery.c.code == T1.code)
query = query.where(subquery.c.code == T2.code)
return query
def base_props_selectable(self):
invites = session.query(Invite.id.label("id"),
Invite.person.label("person"),
Invite.vote_result.label("vote_result"),
literal("invite").label("type"),
Invite.active.label("active"))
kicks = session.query(Kick.id.label("id"), User.name.label("person"),
Kick.vote_result.label("vote_result"),
literal("kick").label("type"),
Kick.active.label("active")).join(Kick.kicked)
suggestion = session.query(Suggestion.id.label("id"),
User.name.label("person"),
Suggestion.vote_result.label("vote_result"),
literal("suggestion").label("type"),
Suggestion.active.label("active")).join(
Suggestion.proposer)
props = union(invites, kicks, suggestion).alias("prop")
return props
def metadata_modified(self):
"""
Return most recent timestamp for revisions related to this package.
NB Excludes changes to the package's groups
"""
import ckan.model as model
where = [model.package_table.c.id == self.id]
where_clauses = [
and_(model.package_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_extra_table.c.package_id == model.package_table.c.id,
model.package_extra_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.subject_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.object_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.resource_group_table.c.package_id == model.package_table.c.id,
model.resource_group_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.resource_group_table.c.package_id == model.package_table.c.id,
model.resource_table.c.resource_group_id == model.resource_group_table.c.id,
model.resource_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_tag_table.c.package_id == model.package_table.c.id,
model.package_tag_table.c.revision_id == model.revision_table.c.id, *where)
]
query = union(*[select([model.revision_table.c.timestamp], x) for x in where_clauses]
).order_by('timestamp DESC').limit(1)
# Use current connection because we might be in a 'before_commit' of
# a SessionExtension - only by using the current connection can we get
# at the newly created revision etc. objects.
conn = model.Session.connection()
result = conn.execute(query).fetchone()
if result:
result_datetime = iso_date_to_datetime_for_sqlite(result[0])
timestamp_without_usecs = result_datetime.utctimetuple()
usecs = float(result_datetime.microsecond) / 1e6
# use timegm instead of mktime, because we don't want it localised
timestamp_float = timegm(timestamp_without_usecs) + usecs
return datetime.datetime.utcfromtimestamp(timestamp_float)
def metadata_modified(self):
"""
Return most recent timestamp for revisions related to this package.
NB Excludes changes to the package's groups
"""
from ckan import model
where = [model.package_table.c.id == self.id]
where_clauses = [
and_(model.package_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_extra_table.c.package_id == model.package_table.c.id,
model.package_extra_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.subject_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_relationship_table.c.object_package_id == model.package_table.c.id,
model.package_relationship_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.resource_group_table.c.package_id == model.package_table.c.id,
model.resource_group_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.resource_group_table.c.package_id == model.package_table.c.id,
model.resource_table.c.resource_group_id == model.resource_group_table.c.id,
model.resource_table.c.revision_id == model.revision_table.c.id, *where),
and_(model.package_tag_table.c.package_id == model.package_table.c.id,
model.package_tag_table.c.revision_id == model.revision_table.c.id, *where)
]
query = union(*[select([model.revision_table.c.timestamp], x) for x in where_clauses]
).order_by('timestamp DESC').limit(1)
# Use current connection because we might be in a 'before_commit' of
# a SessionExtension - only by using the current connection can we get
# at the newly created revision etc. objects.
conn = model.Session.connection()
result = conn.execute(query).fetchone()
if result:
result_datetime = _types.iso_date_to_datetime_for_sqlite(result[0])
timestamp_without_usecs = result_datetime.utctimetuple()
usecs = float(result_datetime.microsecond) / 1e6
# use timegm instead of mktime, because we don't want it localised
timestamp_float = timegm(timestamp_without_usecs) + usecs
return datetime.datetime.utcfromtimestamp(timestamp_float)
def base_props_selectable(self):
invites = session.query( Invite.id .label("id"),
Invite.person .label("person"),
Invite.vote_result .label("vote_result"),
literal("invite") .label("type"),
Invite.active .label("active")
)
kicks = session.query( Kick.id .label("id"),
User.name .label("person"),
Kick.vote_result .label("vote_result"),
literal("kick") .label("type"),
Kick.active .label("active")
).join(Kick.kicked)
suggestion = session.query( Suggestion.id .label("id"),
User.name .label("person"),
Suggestion.vote_result .label("vote_result"),
literal("suggestion") .label("type"),
Suggestion.active .label("active")
).join(Suggestion.proposer)
props = union(invites, kicks, suggestion).alias("prop")
return props
def normalize_query_by_date(query, date_label, report_label, start_date=None,
end_date=None, interval='1 month',
granularity='1 day'):
"""
Fills in missing date "buckets" for an aggregate query grouped by date.
Aggregate queries grouped by date are often used for generating reports,
like "How many widgets did I sell on each day of last month?" These queries
often look similar to this::
SELECT date_of_sale AS day, count(id) AS sales_count
FROM sales
WHERE date_of_sale > now() - interval '1 month'
GROUP BY day ORDER BY day;
This kind of query will ONLY return days that contain at least one sale.
Days with zero sales will not be returned at all, leaving gaps in the
report. To combat this, we can normalize the query by generating a UNION
with a Postgres date series::
SELECT date_of_sale AS day, coalesce(sales_count, 0) AS sales_count
FROM (
SELECT date_of_sale AS day, count(id) AS sales_count
FROM sales
WHERE date_of_sale > now() - interval '1 month'
GROUP BY day
UNION
SELECT
generate_series(now() - interval '1 month', now(), '1 day') AS day,
0 AS sales_count
) AS union_query ORDER BY union_query.day;
Args:
query (sqlalchemy.orm.query.Query): The original query grouped by date,
in which the "group by date" column is labelled using
column.label(date_label), and the "aggregate" column is labelled
using column.label(report_label).
date_label (str): The label used to label the "group by date" column.
report_label (str): The label used to label the "aggregate" column.
start_date (datetime): Start date of the query.
end_date (datetime): End date of the query.
interval (str): Alternately, the length of time from either
`start_date` or `end_date` expressed as a Postgres interval.
Defaults to '1 month'.
granularity (str): The granularity of each date "bucket" expressed
as a Postgres interval. Defaults to '1 day'.
Returns:
sqlalchemy.orm.query.Query: A normalized aggregate date query.
"""
series = generate_date_series(start_date, end_date, interval, granularity)
series_query = select([
series.label(date_label),
literal(0).label(report_label)
])
query = union(query, series_query).alias()
query = select([
text(date_label),
func.coalesce(text(report_label), literal(0)).label(report_label)
], from_obj=query).order_by(date_label)
return query
# On the other hand, count() function which returns number of rows selected from a table, is rendered by following usage of func −
cn.execute(select([func.count(students.c.id)])).fetchall()
# The max() function is implemented by following usage of func from SQLAlchemy which will result in 85, the total maximum marks obtained −
cn.execute(select([func.max(students.c.id)])).fetchall()
#find min value
cn.execute(select([func.min(students.c.id)])).fetchall()
# find Average
cn.execute(select([func.avg(students.c.id)])).fetchall()
# =========================SQLAlchemy Core - Using Set Operations==========================
'''union()''':
from sqlalchemy.sql import union,union_all,except_,intersect
u1 = union(addresses.select().where(addresses.c.email_add.like('*****@*****.**')), addresses.select().where(addresses.c.email_add.like('*****@*****.**')))
conn.execute(u1).fetchone()
ua = union_all(addresses.select().where(addresses.c.email_add.like('*****@*****.**')), addresses.select().where(addresses.c.email_add.like('*****@*****.**')))
conn.execute(ua).fetchall()
ue = except_(addresses.select().where(addresses.c.email_add.like('*****@*****.**')), addresses.select().where(addresses.c.postal_add.like('%Pune')))
result = conn.execute(ue)
ints = intersect(addresses.select().where(addresses.c.email_add.like('*****@*****.**')), addresses.select().where(addresses.c.postal_add.like('%Pune')))
result = conn.execute(ints)
#sum of febbonacy
a ,b = 0,1
max_value = 4000000
fib_value = []
sum_value = 0
for i in range(100000):
def test_executing(self):
# re-create a new INSERT object
self.ins = self.users.insert()
# execute the insert statement
res = self.conn.execute(self.ins, uid=1, name='jack', fullname='Jack Jones')
assert(res.inserted_primary_key == [1])
res = self.conn.execute(self.ins, uid=2, name='wendy', fullname='Wendy Williams')
assert(res.inserted_primary_key == [2])
# the res variable is a ResultProxy object, analagous to DBAPI cursor
# issue many inserts, the same is possible for update and delete
self.conn.execute(self.addresses.insert(), [
{'id': 1, 'user_id': 1, 'email_address': '*****@*****.**'},
{'id': 2, 'user_id': 1, 'email_address': '*****@*****.**'},
{'id': 3, 'user_id': 2, 'email_address': '*****@*****.**'},
{'id': 4, 'user_id': 2, 'email_address': '*****@*****.**'}
])
# test selects on the inserted values
from sqlalchemy.sql import select
s = select([self.users])
res = self.conn.execute(s)
u1 = res.fetchone()
u2 = res.fetchone()
# accessing rows
assert(u1['name'] == u'jack')
assert(u1['fullname'] == u'Jack Jones')
assert(u2['name'] == u'wendy')
assert(u2['fullname'] == u'Wendy Williams')
assert(u1[1] == u1['name'])
assert(u1[2] == u1['fullname'])
assert(u2[1] == u2['name'])
assert(u2[2] == u2['fullname'])
# be sure to close the result set
res.close()
# use cols to access rows
res = self.conn.execute(s)
u3 = res.fetchone()
u4 = res.fetchone()
assert(u3[self.users.c.name] == u1['name'])
assert(u3[self.users.c.fullname] == u1['fullname'])
assert(u4[self.users.c.name] == u2['name'])
assert(u4[self.users.c.fullname] == u2['fullname'])
# reference individual columns in select clause
s = select([self.users.c.name, self.users.c.fullname])
res = self.conn.execute(s)
u3 = res.fetchone()
u4 = res.fetchone()
assert(u3[self.users.c.name] == u1['name'])
assert(u3[self.users.c.fullname] == u1['fullname'])
assert(u4[self.users.c.name] == u2['name'])
assert(u4[self.users.c.fullname] == u2['fullname'])
# test joins
# cartesian product
usrs = [row for row in self.conn.execute(select([self.users]))]
addrs = [row for row in self.conn.execute(select([self.addresses]))]
prod = [row for row in self.conn.execute(select([self.users, self.addresses]))]
assert(len(prod) == len(usrs) * len(addrs))
# inner join on id
s = select([self.users, self.addresses]).where(self.users.c.uid == self.addresses.c.user_id)
inner = [row for row in self.conn.execute(s)]
assert(len(inner) == 4)
# operators between columns objects & other col objects/literals
expr = self.users.c.uid == self.addresses.c.user_id
assert('my_users.uid = addresses.user_id' == str(expr))
# see how Teradata concats two strings
assert(str((self.users.c.name + self.users.c.fullname).compile(bind=self.engine)) ==
'my_users.name || my_users.fullname')
# built-in conjunctions
from sqlalchemy.sql import and_, or_
s = select([(self.users.c.fullname +
", " +
self.addresses.c.email_address).label('titles')]).where(
and_(
self.users.c.uid == self.addresses.c.user_id,
self.users.c.name.between('m', 'z'),
or_(
self.addresses.c.email_address.like('*****@*****.**'),
self.addresses.c.email_address.like('*****@*****.**')
)
)
)
# print(s)
res = self.conn.execute(s)
for row in res:
assert(str(row[0]) == u'Wendy Williams, [email protected]')
# more joins
# ON condition auto generated based on ForeignKey
assert(str(self.users.join(self.addresses)) ==
'my_users JOIN addresses ON my_users.uid = addresses.user_id')
# specify the join ON condition
self.users.join(self.addresses,
self.addresses.c.email_address.like(self.users.c.name + '%'))
# select from clause to specify tables and the ON condition
s = select([self.users.c.fullname]).select_from(
self.users.join(self.addresses, self.addresses.c.email_address.like(self.users.c.name + '%')))
res = self.conn.execute(s)
assert(len(res.fetchall()) == 3)
# left outer joins
s = select([self.users.c.fullname]).select_from(self.users.outerjoin(self.addresses))
# outer join works with teradata dialect (unlike oracle dialect < version9)
assert(str(s) == str(s.compile(dialect=self.dialect)))
# test bind params (positional)
from sqlalchemy import text
s = self.users.select(self.users.c.name.like(
bindparam('username', type_=String)+text("'%'")))
res = self.conn.execute(s, username='******').fetchall()
assert(len(res), 1)
# functions
from sqlalchemy.sql import func, column
# certain function names are known by sqlalchemy
assert(str(func.current_timestamp()), 'CURRENT_TIMESTAMP')
# functions can be used in the select
res = self.conn.execute(select(
[func.max(self.addresses.c.email_address, type_=String).label(
'max_email')])).scalar()
assert(res, '*****@*****.**')
# func result sets, define a function taking params x,y return q,z,r
# useful for nested queries, subqueries - w/ dynamic params
calculate = select([column('q'), column('z'), column('r')]).\
select_from(
func.calculate(
bindparam('x'),
bindparam('y')
)
)
calc = calculate.alias()
s = select([self.users]).where(self.users.c.uid > calc.c.z)
assert('SELECT my_users.uid, my_users.name, my_users.fullname\
FROM my_users, (SELECT q, z, r\
FROM calculate(:x, :y)) AS anon_1\
WHERE my_users.uid > anon_1.z', s)
# instantiate the func
calc1 = calculate.alias('c1').unique_params(x=17, y=45)
calc2 = calculate.alias('c2').unique_params(x=5, y=12)
s = select([self.users]).where(self.users.c.uid.between(calc1.c.z, calc2.c.z))
parms = s.compile().params
assert('x_2' in parms, 'x_1' in parms)
assert('y_2' in parms, 'y_1' in parms)
assert(parms['x_1'] == 17, parms['y_1'] == 45)
assert(parms['x_2'] == 5, parms['y_2'] == 12)
# order by asc
stmt = select([self.users.c.name]).order_by(self.users.c.name)
res = self.conn.execute(stmt).fetchall()
assert('jack' == res[0][0])
assert('wendy' == res[1][0])
# order by desc
stmt = select([self.users.c.name]).order_by(self.users.c.name.desc())
res = self.conn.execute(stmt).fetchall()
assert('wendy' == res[0][0])
assert('jack' == res[1][0])
# group by
stmt = select([self.users.c.name, func.count(self.addresses.c.id)]).\
select_from(self.users.join(self.addresses)).\
group_by(self.users.c.name)
res = self.conn.execute(stmt).fetchall()
assert(res[0][0] == 'jack')
assert(res[1][0] == 'wendy')
assert(res[0][1] == res[1][1])
# group by having
stmt = select([self.users.c.name, func.count(self.addresses.c.id)]).\
select_from(self.users.join(self.addresses)).\
group_by(self.users.c.name).\
having(func.length(self.users.c.name) > 4)
res = self.conn.execute(stmt).fetchall()
assert(res[0] == ('wendy', 2))
# distinct
stmt = select([self.users.c.name]).\
where(self.addresses.c.email_address.contains(self.users.c.name)).distinct()
res = self.conn.execute(stmt).fetchall()
assert(len(res) == 2)
assert(res[0][0] != res[1][0])
# limit
stmt = select([self.users.c.name, self.addresses.c.email_address]).\
select_from(self.users.join(self.addresses)).\
limit(1)
res = self.conn.execute(stmt).fetchall()
assert(len(res) == 1)
# offset
# test union and except
from sqlalchemy.sql import except_, union
u = union(
self.addresses.select().where(self.addresses.c.email_address == '*****@*****.**'),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')),)# .order_by(self.addresses.c.email_address)
# print(u)
# #res = self.conn.execute(u) this fails, syntax error order by expects pos integer?
u = except_(
self.addresses.select().where(self.addresses.c.email_address.like('%@%.com')),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')))
res = self.conn.execute(u).fetchall()
assert(1, len(res))
u = except_(
union(
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**'))
).alias().select(), self.addresses.select(self.addresses.c.email_address.like('*****@*****.**'))
)
res = self.conn.execute(u).fetchall()
assert(1, len(res))
# scalar subqueries
stmt = select([func.count(self.addresses.c.id)]).where(self.users.c.uid == self.addresses.c.user_id).as_scalar()
# we can place stmt as any other column within another select
res = self.conn.execute(select([self.users.c.name, stmt])).fetchall()
# res is a list of tuples, one tuple per user's name
assert(2, len(res))
u1 = res[0]
u2 = res[1]
assert(len(u1) == len(u2))
assert(u1[0] == u'jack')
assert(u1[1] == u2[1])
assert(u2[0] == u'wendy')
# we can label the inner query
stmt = select([func.count(self.addresses.c.id)]).\
where(self.users.c.uid == self.addresses.c.user_id).\
label("address_count")
res = self.conn.execute(select([self.users.c.name, stmt])).fetchall()
assert(2, len(res))
u1 = res[0]
u2 = res[1]
assert(len(u1) == 2)
assert(len(u2) == 2)
# inserts, updates, deletes
stmt = self.users.update().values(fullname="Fullname: " + self.users.c.name)
res = self.conn.execute(stmt)
assert('name_1' in res.last_updated_params())
assert(res.last_updated_params()['name_1'] == 'Fullname: ')
stmt = self.users.insert().values(name=bindparam('_name') + " .. name")
res = self.conn.execute(stmt, [{'uid': 4, '_name': 'name1'}, {'uid': 5, '_name': 'name2'}, {'uid': 6, '_name': 'name3'}, ])
# updates
stmt = self.users.update().where(self.users.c.name == 'jack').values(name='ed')
res = self.conn.execute(stmt)
assert(res.rowcount == 1)
assert(res.returns_rows is False)
# update many with bound params
stmt = self.users.update().where(self.users.c.name == bindparam('oldname')).\
values(name=bindparam('newname'))
res = self.conn.execute(stmt, [
{'oldname': 'jack', 'newname': 'ed'},
{'oldname': 'wendy', 'newname': 'mary'},
])
assert(res.returns_rows is False)
assert(res.rowcount == 1)
res = self.conn.execute(select([self.users]).where(self.users.c.name == 'ed'))
r = res.fetchone()
assert(r['name'] == 'ed')
# correlated updates
stmt = select([self.addresses.c.email_address]).\
where(self.addresses.c.user_id == self.users.c.uid).\
limit(1)
# this fails, syntax error bc of LIMIT - need TOP/SAMPLE instead
# Note: TOP can't be in a subquery
# res = self.conn.execute(self.users.update().values(fullname=stmt))
# multiple table updates
stmt = self.users.update().\
values(name='ed wood').\
where(self.users.c.uid == self.addresses.c.id).\
where(self.addresses.c.email_address.startswith('ed%'))
# this fails, teradata does update from set where not update set from where
# #res = self.conn.execute(stmt)
stmt = self.users.update().\
values({
self.users.c.name: 'ed wood',
self.addresses.c.email_address: '*****@*****.**'
}).\
where(self.users.c.uid == self.addresses.c.id).\
where(self.addresses.c.email_address.startswith('ed%'))
# fails but works on MySQL, should this work for us?
# #res = self.conn.execute(stmt)
# deletes
self.conn.execute(self.addresses.delete())
self.conn.execute(self.users.delete().where(self.users.c.name > 'm'))
# matched row counts
# updates + deletes have a number indicating # rows matched by WHERE clause
res = self.conn.execute(self.users.delete())
assert(res.rowcount == 1)
def affected_by(dep_name):
"""
Display which packages are possibly affected by given dependency change.
"""
if len(g.current_collections) != 1:
abort(400)
collection = g.current_collections[0]
try:
evr1 = RpmEVR(
int(request.args['epoch1']),
request.args['version1'],
request.args['release1']
)
evr2 = RpmEVR(
int(request.args['epoch2']),
request.args['version2'],
request.args['release2']
)
except (KeyError, ValueError):
abort(400)
# Dependencies in the evr1 to evr2 interval
# Note that evr comparisons are overloaded custom comparators that invoke RPM-correct
# comparisons implemented in rpmvercmp.sql
deps_in = (
db.query(Dependency.id)
.filter(Dependency.name == dep_name)
.filter(Dependency.evr > evr1)
.filter(Dependency.evr < evr2)
.cte('deps_in')
)
# Dependencies with greater evr than evr2
deps_higher = (
db.query(Dependency.id)
.filter(Dependency.name == dep_name)
.filter(Dependency.evr >= evr2)
.cte('deps_higher')
)
# Dependencies with lesser evr than evr1
deps_lower = (
db.query(Dependency.id)
.filter(Dependency.name == dep_name)
.filter(Dependency.evr <= evr1)
.cte('deps_lower')
)
# Get only changes where the prev_evr to curr_evr interval overlaps with evr1 to evr2
filtered_changes = union(
# Changes with previous evr in the evr1 to evr2 interval
db.query(AppliedChange)
.filter(AppliedChange.prev_dep_id.in_(db.query(deps_in))),
# Changes with current evr in the evr1 to evr2 interval
db.query(AppliedChange)
.filter(AppliedChange.curr_dep_id.in_(db.query(deps_in))),
# Changes with both evrs "around" the evr1 to evr2 interval
db.query(AppliedChange)
.filter(
(AppliedChange.prev_dep_id.in_(db.query(deps_lower))) &
(AppliedChange.curr_dep_id.in_(db.query(deps_higher)))
),
).alias('filtered_changes')
prev_build = aliased(Build)
# Get a subquery for previous build state
subq = db.query(prev_build.state.label('prev_state'))\
.order_by(prev_build.started.desc())\
.filter(prev_build.started < Build.started)\
.filter(prev_build.package_id == Build.package_id)\
.limit(1)\
.correlate().as_scalar()
prev_dep = aliased(Dependency)
curr_dep = aliased(Dependency)
failed = (
db.query(
prev_dep.name.label('dep_name'),
prev_dep.evr.label('prev_evr'),
curr_dep.evr.label('curr_evr'),
AppliedChange.distance,
Build.id.label('build_id'),
Build.state.label('build_state'),
Build.started.label('build_started'),
Package.name.label('package_name'),
Package.resolved.label('package_resolved'),
Package.last_complete_build_state.label('package_lb_state'),
subq.label('prev_build_state'),
)
.select_entity_from(filtered_changes)
.join(prev_dep, AppliedChange.prev_dep)
.join(curr_dep, AppliedChange.curr_dep)
.join(AppliedChange.build).join(Build.package)
.filter_by(blocked=False, tracked=True, collection_id=collection.id)
# Show only packages where the build after failed, but the previous one was ok
.filter(Build.state == Build.FAILED)
.filter(subq != Build.FAILED)
.order_by(AppliedChange.distance, Build.started.desc())
.all()
)
# Auxiliary function to compute state string for the query row
def package_state(row):
return Package(
tracked=True,
blocked=False,
resolved=row.package_resolved,
last_complete_build_state=row.package_lb_state,
).state_string
return render_template("affected-by.html", package_state=package_state,
dep_name=dep_name, evr1=evr1, evr2=evr2,
collection=collection, failed=failed)
def base_props_selectable(self):
invites = session.query(Invite.id, Invite.person, Invite.vote_result, literal("invite").label("type"), Invite.active)
kicks = session.query(Kick.id, User.name, Kick.vote_result, literal("kick").label("type"), Kick.active).join(Kick.kicked)
props = union(invites, kicks).alias("prop")
return props
select([user, address])
# explicitly join
select([user.c.name]).select_from(user.join(address))
# join on foreign keys if only one relationship exists
user.join(address)
# specify on clause
user.join(address,
address.c.user_id > 5)
# set operations ###############################################
u = union(address.select().where(),
address.select().where(),
).order_by(address.c.email_address)
# result #######################################################
# The result, known as a ResultProxy object, is analogous to the
# DBAPI cursor object.
result3 = con.execute(sel)
result.fetchone()
result.fetchall()
for row in result:
print(row)
print(row['name'], row['email'])
def affected_by(dep_name):
"""
Display which packages are possibly affected by given dependency change.
"""
if len(g.current_collections) != 1:
abort(400)
collection = g.current_collections[0]
try:
evr1 = RpmEVR(int(request.args['epoch1']), request.args['version1'],
request.args['release1'])
evr2 = RpmEVR(int(request.args['epoch2']), request.args['version2'],
request.args['release2'])
except (KeyError, ValueError):
abort(400)
# Dependencies in the evr1 to evr2 interval
# Note that evr comparisons are overloaded custom comparators that invoke RPM-correct
# comparisons implemented in rpmvercmp.sql
deps_in = (db.query(Dependency.id).filter(
Dependency.name == dep_name).filter(Dependency.evr > evr1).filter(
Dependency.evr < evr2).cte('deps_in'))
# Dependencies with greater evr than evr2
deps_higher = (db.query(
Dependency.id).filter(Dependency.name == dep_name).filter(
Dependency.evr >= evr2).cte('deps_higher'))
# Dependencies with lesser evr than evr1
deps_lower = (db.query(
Dependency.id).filter(Dependency.name == dep_name).filter(
Dependency.evr <= evr1).cte('deps_lower'))
# Get only changes where the prev_evr to curr_evr interval overlaps with evr1 to evr2
filtered_changes = union(
# Changes with previous evr in the evr1 to evr2 interval
db.query(AppliedChange).filter(
AppliedChange.prev_dep_id.in_(db.query(deps_in))),
# Changes with current evr in the evr1 to evr2 interval
db.query(AppliedChange).filter(
AppliedChange.curr_dep_id.in_(db.query(deps_in))),
# Changes with both evrs "around" the evr1 to evr2 interval
db.query(AppliedChange).filter(
(AppliedChange.prev_dep_id.in_(db.query(deps_lower)))
& (AppliedChange.curr_dep_id.in_(db.query(deps_higher)))),
).alias('filtered_changes')
prev_build = aliased(Build)
# Get a subquery for previous build state
subq = db.query(prev_build.state.label('prev_state'))\
.order_by(prev_build.started.desc())\
.filter(prev_build.started < Build.started)\
.filter(prev_build.package_id == Build.package_id)\
.limit(1)\
.correlate().as_scalar()
prev_dep = aliased(Dependency)
curr_dep = aliased(Dependency)
failed = (
db.query(
prev_dep.name.label('dep_name'),
prev_dep.evr.label('prev_evr'),
curr_dep.evr.label('curr_evr'),
AppliedChange.distance,
Build.id.label('build_id'),
Build.state.label('build_state'),
Build.started.label('build_started'),
Package.name.label('package_name'),
Package.resolved.label('package_resolved'),
Package.last_complete_build_state.label('package_lb_state'),
subq.label('prev_build_state'),
).select_entity_from(filtered_changes).join(
prev_dep, AppliedChange.prev_dep).join(
curr_dep,
AppliedChange.curr_dep).join(AppliedChange.build).join(
Build.package).filter_by(blocked=False,
tracked=True,
collection_id=collection.id)
# Show only packages where the build after failed, but the previous one was ok
.filter(Build.state == Build.FAILED).filter(
subq != Build.FAILED).order_by(AppliedChange.distance,
Build.started.desc()).all())
# Auxiliary function to compute state string for the query row
def package_state(row):
return Package(
tracked=True,
blocked=False,
resolved=row.package_resolved,
last_complete_build_state=row.package_lb_state,
).state_string
return render_template("affected-by.html",
package_state=package_state,
dep_name=dep_name,
evr1=evr1,
evr2=evr2,
collection=collection,
failed=failed)
print(conn.execute(enclosing_s).fetchall())
s = select([users.c.id]).\
where(users.c.id == addresses.c.user_id).\
where(users.c.name == 'jack').\
correlate(addresses)
enclosing_s = select(
[users.c.name, addresses.c.email_address]).\
select_from(users.join(addresses)).\
where(users.c.id == s)
print(conn.execute(enclosing_s).fetchall())
s = select([users.c.id]).\
where(users.c.id == addresses.c.user_id).\
where(users.c.name == 'jack').\
correlate_except(users)
enclosing_s = select(
[users.c.name, addresses.c.email_address]).\
select_from(users.join(addresses)).\
where(users.c.id == s)
print(conn.execute(enclosing_s).fetchall())
s = union(
addresses.select().where(addresses.c.email_address == '*****@*****.**'),
addresses.select().where(
addresses.c.email_address.like('*****@*****.**')),
).order_by('email_address')
print(conn.execute(s).fetchall())
conn.close()
def test_executing(self):
# re-create a new INSERT object
self.ins = self.users.insert()
# execute the insert statement
res = self.conn.execute(self.ins, uid=1, name='jack', fullname='Jack Jones')
assert(res.inserted_primary_key == [1])
res = self.conn.execute(self.ins, uid=2, name='wendy', fullname='Wendy Williams')
assert(res.inserted_primary_key == [2])
# the res variable is a ResultProxy object, analagous to DBAPI cursor
# issue many inserts, the same is possible for update and delete
self.conn.execute(self.addresses.insert(), [
{'id': 1, 'user_id': 1, 'email_address': '*****@*****.**'},
{'id': 2, 'user_id': 1, 'email_address': '*****@*****.**'},
{'id': 3, 'user_id': 2, 'email_address': '*****@*****.**'},
{'id': 4, 'user_id': 2, 'email_address': '*****@*****.**'}
])
# test selects on the inserted values
from sqlalchemy.sql import select
s = select([self.users])
res = self.conn.execute(s)
u1 = res.fetchone()
u2 = res.fetchone()
# accessing rows
assert(u1['name'] == u'jack')
assert(u1['fullname'] == u'Jack Jones')
assert(u2['name'] == u'wendy')
assert(u2['fullname'] == u'Wendy Williams')
assert(u1[1] == u1['name'])
assert(u1[2] == u1['fullname'])
assert(u2[1] == u2['name'])
assert(u2[2] == u2['fullname'])
# be sure to close the result set
res.close()
# use cols to access rows
res = self.conn.execute(s)
u3 = res.fetchone()
u4 = res.fetchone()
assert(u3[self.users.c.name] == u1['name'])
assert(u3[self.users.c.fullname] == u1['fullname'])
assert(u4[self.users.c.name] == u2['name'])
assert(u4[self.users.c.fullname] == u2['fullname'])
# reference individual columns in select clause
s = select([self.users.c.name, self.users.c.fullname])
res = self.conn.execute(s)
u3 = res.fetchone()
u4 = res.fetchone()
assert(u3[self.users.c.name] == u1['name'])
assert(u3[self.users.c.fullname] == u1['fullname'])
assert(u4[self.users.c.name] == u2['name'])
assert(u4[self.users.c.fullname] == u2['fullname'])
# test joins
# cartesian product
usrs = [row for row in self.conn.execute(select([self.users]))]
addrs = [row for row in self.conn.execute(select([self.addresses]))]
prod = [row for row in self.conn.execute(select([self.users, self.addresses]))]
assert(len(prod) == len(usrs) * len(addrs))
# inner join on id
s = select([self.users, self.addresses]).where(self.users.c.uid == self.addresses.c.user_id)
inner = [row for row in self.conn.execute(s)]
assert(len(inner) == 4)
# operators between columns objects & other col objects/literals
expr = self.users.c.uid == self.addresses.c.user_id
assert('my_users.uid = addresses.user_id' == str(expr))
# see how Teradata concats two strings
assert(str((self.users.c.name + self.users.c.fullname).compile(bind=self.engine)) ==
'my_users.name || my_users.fullname')
# built-in conjunctions
from sqlalchemy.sql import and_, or_
s = select([(self.users.c.fullname +
", " +
self.addresses.c.email_address).label('titles')]).where(
and_(
self.users.c.uid == self.addresses.c.user_id,
self.users.c.name.between('m', 'z'),
or_(
self.addresses.c.email_address.like('*****@*****.**'),
self.addresses.c.email_address.like('*****@*****.**')
)
)
)
# print(s)
res = self.conn.execute(s)
for row in res:
assert(str(row[0]) == u'Wendy Williams, [email protected]')
# more joins
# ON condition auto generated based on ForeignKey
assert(str(self.users.join(self.addresses)) ==
'my_users JOIN addresses ON my_users.uid = addresses.user_id')
# specify the join ON condition
self.users.join(self.addresses,
self.addresses.c.email_address.like(self.users.c.name + '%'))
# select from clause to specify tables and the ON condition
s = select([self.users.c.fullname]).select_from(
self.users.join(self.addresses, self.addresses.c.email_address.like(self.users.c.name + '%')))
res = self.conn.execute(s)
assert(len(res.fetchall()) == 3)
# left outer joins
s = select([self.users.c.fullname]).select_from(self.users.outerjoin(self.addresses))
# outer join works with teradata dialect (unlike oracle dialect < version9)
assert(str(s) == str(s.compile(dialect=self.dialect)))
# test bind params (positional)
from sqlalchemy import text
s = self.users.select(self.users.c.name.like(
bindparam('username', type_=String)+text("'%'")))
res = self.conn.execute(s, username='******').fetchall()
assert(len(res), 1)
# functions
from sqlalchemy.sql import func, column
# certain function names are known by sqlalchemy
assert(str(func.current_timestamp()), 'CURRENT_TIMESTAMP')
# functions can be used in the select
res = self.conn.execute(select(
[func.max(self.addresses.c.email_address, type_=String).label(
'max_email')])).scalar()
assert(res, '*****@*****.**')
# func result sets, define a function taking params x,y return q,z,r
# useful for nested queries, subqueries - w/ dynamic params
calculate = select([column('q'), column('z'), column('r')]).\
select_from(
func.calculate(
bindparam('x'),
bindparam('y')
)
)
calc = calculate.alias()
s = select([self.users]).where(self.users.c.uid > calc.c.z)
assert('SELECT my_users.uid, my_users.name, my_users.fullname\
FROM my_users, (SELECT q, z, r\
FROM calculate(:x, :y)) AS anon_1\
WHERE my_users.uid > anon_1.z', s)
# instantiate the func
calc1 = calculate.alias('c1').unique_params(x=17, y=45)
calc2 = calculate.alias('c2').unique_params(x=5, y=12)
s = select([self.users]).where(self.users.c.uid.between(calc1.c.z, calc2.c.z))
parms = s.compile().params
assert('x_2' in parms, 'x_1' in parms)
assert('y_2' in parms, 'y_1' in parms)
assert(parms['x_1'] == 17, parms['y_1'] == 45)
assert(parms['x_2'] == 5, parms['y_2'] == 12)
# order by asc
stmt = select([self.users.c.name]).order_by(self.users.c.name)
res = self.conn.execute(stmt).fetchall()
assert('jack' == res[0][0])
assert('wendy' == res[1][0])
# order by desc
stmt = select([self.users.c.name]).order_by(self.users.c.name.desc())
res = self.conn.execute(stmt).fetchall()
assert('wendy' == res[0][0])
assert('jack' == res[1][0])
# group by
stmt = select([self.users.c.name, func.count(self.addresses.c.id)]).\
select_from(self.users.join(self.addresses)).\
group_by(self.users.c.name)
res = self.conn.execute(stmt).fetchall()
assert(res[1][0] == 'jack')
assert(res[0][0] == 'wendy')
assert(res[0][1] == res[1][1])
# group by having
stmt = select([self.users.c.name, func.count(self.addresses.c.id)]).\
select_from(self.users.join(self.addresses)).\
group_by(self.users.c.name).\
having(func.length(self.users.c.name) > 4)
res = self.conn.execute(stmt).fetchall()
assert(res[0] == ('wendy', 2))
# distinct
stmt = select([self.users.c.name]).\
where(self.addresses.c.email_address.contains(self.users.c.name)).distinct()
res = self.conn.execute(stmt).fetchall()
assert(len(res) == 2)
assert(res[0][0] != res[1][0])
# limit
stmt = select([self.users.c.name, self.addresses.c.email_address]).\
select_from(self.users.join(self.addresses)).\
limit(1)
res = self.conn.execute(stmt).fetchall()
assert(len(res) == 1)
# offset
# test union and except
from sqlalchemy.sql import except_, union
u = union(
self.addresses.select().where(self.addresses.c.email_address == '*****@*****.**'),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')),)# .order_by(self.addresses.c.email_address)
# print(u)
# #res = self.conn.execute(u) this fails, syntax error order by expects pos integer?
u = except_(
self.addresses.select().where(self.addresses.c.email_address.like('%@%.com')),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')))
res = self.conn.execute(u).fetchall()
assert(1, len(res))
u = except_(
union(
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**')),
self.addresses.select().where(self.addresses.c.email_address.like('*****@*****.**'))
).alias().select(), self.addresses.select(self.addresses.c.email_address.like('*****@*****.**'))
)
res = self.conn.execute(u).fetchall()
assert(1, len(res))
# scalar subqueries
stmt = select([func.count(self.addresses.c.id)]).where(self.users.c.uid == self.addresses.c.user_id).as_scalar()
# we can place stmt as any other column within another select
res = self.conn.execute(select([self.users.c.name, stmt])).fetchall()
# res is a list of tuples, one tuple per user's name
assert(2, len(res))
u1 = res[0]
u2 = res[1]
assert(len(u1) == len(u2))
assert(u1[0] == u'jack')
assert(u1[1] == u2[1])
assert(u2[0] == u'wendy')
# we can label the inner query
stmt = select([func.count(self.addresses.c.id)]).\
where(self.users.c.uid == self.addresses.c.user_id).\
label("address_count")
res = self.conn.execute(select([self.users.c.name, stmt])).fetchall()
assert(2, len(res))
u1 = res[0]
u2 = res[1]
assert(len(u1) == 2)
assert(len(u2) == 2)
# inserts, updates, deletes
stmt = self.users.update().values(fullname="Fullname: " + self.users.c.name)
res = self.conn.execute(stmt)
assert('name_1' in res.last_updated_params())
assert(res.last_updated_params()['name_1'] == 'Fullname: ')
stmt = self.users.insert().values(name=bindparam('_name') + " .. name")
res = self.conn.execute(stmt, [{'uid': 4, '_name': 'name1'}, {'uid': 5, '_name': 'name2'}, {'uid': 6, '_name': 'name3'}, ])
# updates
stmt = self.users.update().where(self.users.c.name == 'jack').values(name='ed')
res = self.conn.execute(stmt)
assert(res.rowcount == 1)
assert(res.returns_rows is False)
# update many with bound params
stmt = self.users.update().where(self.users.c.name == bindparam('oldname')).\
values(name=bindparam('newname'))
res = self.conn.execute(stmt, [
{'oldname': 'jack', 'newname': 'ed'},
{'oldname': 'wendy', 'newname': 'mary'},
])
assert(res.returns_rows is False)
assert(res.rowcount == 1)
res = self.conn.execute(select([self.users]).where(self.users.c.name == 'ed'))
r = res.fetchone()
assert(r['name'] == 'ed')
# correlated updates
stmt = select([self.addresses.c.email_address]).\
where(self.addresses.c.user_id == self.users.c.uid).\
limit(1)
# this fails, syntax error bc of LIMIT - need TOP/SAMPLE instead
# Note: TOP can't be in a subquery
# res = self.conn.execute(self.users.update().values(fullname=stmt))
# multiple table updates
stmt = self.users.update().\
values(name='ed wood').\
where(self.users.c.uid == self.addresses.c.id).\
where(self.addresses.c.email_address.startswith('ed%'))
# this fails, teradata does update from set where not update set from where
# #res = self.conn.execute(stmt)
stmt = self.users.update().\
values({
self.users.c.name: 'ed wood',
self.addresses.c.email_address: '*****@*****.**'
}).\
where(self.users.c.uid == self.addresses.c.id).\
where(self.addresses.c.email_address.startswith('ed%'))
# fails but works on MySQL, should this work for us?
# #res = self.conn.execute(stmt)
# deletes
self.conn.execute(self.addresses.delete())
self.conn.execute(self.users.delete().where(self.users.c.name > 'm'))
# matched row counts
# updates + deletes have a number indicating # rows matched by WHERE clause
res = self.conn.execute(self.users.delete())
assert(res.rowcount == 1)
def get(self):
''''''
parser = RequestParser(trim=True)
parser.add_argument('page', type=int, default=DEFAULT_PAGE)
parser.add_argument('pageSize', type=int, default=DEFAULT_PAGE_SIZE)
parser.add_argument('timeLower', type=int)
parser.add_argument('timeUpper', type=int)
args = parser.parse_args(strict=True)
result_BlastBets_set = set()
result_BlastBets_set.add(BlastBets.state == 2)
result_BlastBetsCredit_set = set()
result_BlastBetsCredit_set.add(BlastBetsCredit.state == 2)
result_EntertainmentCityBetsDetail_set = set()
result_EntertainmentCityBetsDetail_set.add(
EntertainmentCityBetsDetail.Flag == 1)
if args['timeLower']:
result_BlastBets_set.add(BlastBets.actionTime >= args['timeLower'])
result_BlastBetsCredit_set.add(
BlastBetsCredit.betTime >= args['timeLower'])
result_EntertainmentCityBetsDetail_set.add(
EntertainmentCityBetsDetail.BetTime >= args['timeLower'])
if args['timeUpper']:
result_BlastBets_set.add(
BlastBets.actionTime <= args['timeUpper'] + SECONDS_PER_DAY)
result_BlastBetsCredit_set.add(
BlastBetsCredit.betTime <= args['timeUpper'] + SECONDS_PER_DAY)
result_EntertainmentCityBetsDetail_set.add(
EntertainmentCityBetsDetail.BetTime <= args['timeUpper'] +
SECONDS_PER_DAY)
'''查询blast_bet表'''
result_BlastBets = db.session.query(
BlastBets.username.label('username'),
func.sum(BlastBets.mode * BlastBets.beiShu *
BlastBets.actionNum).label('betAmount'),
BlastBets.state.label('state')).group_by(
BlastBets.username).filter(*result_BlastBets_set).subquery()
'''查询tb_bets_credit表'''
result_BlastBetsCredit = db.session.query(
BlastBetsCredit.memberUsername.label('username'),
func.sum(BlastBetsCredit.betAmount).label('betAmount'),
BlastBetsCredit.state.label('state')).group_by(
BlastBetsCredit.memberUsername).filter(
*result_BlastBetsCredit_set).subquery()
'''查询tb_entertainment_city_bets_detail表'''
result_EntertainmentCityBetsDetail = db.session.query(
EntertainmentCityBetsDetail.PlayerName.label('username'),
EntertainmentCityBetsDetail.ECCode.label('ECCode'),
EntertainmentCityBetsDetail.childType.label('childType'),
func.sum(EntertainmentCityBetsDetail.BetAmount).label('betAmount'),
EntertainmentCityBetsDetail.Flag.label('state'),
).group_by(
EntertainmentCityBetsDetail.PlayerName,
EntertainmentCityBetsDetail.ECCode,
EntertainmentCityBetsDetail.childType,
).filter(*result_EntertainmentCityBetsDetail_set).all()
'''blast_bet和tb_bets_credit组合查询'''
result_BB_left_l = db.session.query(
result_BlastBets.c.username.label('result_BlastBets_username'),
result_BlastBets.c.betAmount.label('result_BlastBets_betAmount'),
result_BlastBets.c.state.label('result_BlastBets_state'),
result_BlastBetsCredit.c.username.label(
'result_BlastBetsCredit_username'),
result_BlastBetsCredit.c.betAmount.label(
'result_BlastBetsCredit_betAmount'),
result_BlastBetsCredit.c.state.label(
'result_BlastBetsCredit_state'),
)
result_BB_left_l = result_BB_left_l.outerjoin(
result_BlastBetsCredit,
result_BlastBetsCredit.c.username == result_BlastBets.c.username)
result_BBC_right_l = db.session.query(
result_BlastBets.c.username.label('result_BlastBets_username'),
result_BlastBets.c.betAmount.label('result_BlastBets_betAmount'),
result_BlastBets.c.state.label('result_BlastBets_state'),
result_BlastBetsCredit.c.username.label(
'result_BlastBetsCredit_username'),
result_BlastBetsCredit.c.betAmount.label(
'result_BlastBetsCredit_betAmount'),
result_BlastBetsCredit.c.state.label(
'result_BlastBetsCredit_state'))
result_BBC_right_l = result_BBC_right_l.outerjoin(
result_BlastBets,
result_BlastBets.c.username == result_BlastBetsCredit.c.username)
result_all_1 = union(result_BB_left_l, result_BBC_right_l)
# a = execute(result_all_1)
# print(a)
user_alias = aliased(result_all_1, name='user_alias')
user_alias = db.session.query(user_alias).order_by().all()
pass
else:
for row in conn.execute(s):
print row
### union
from sqlalchemy.sql import union
# The select() clauses below are much more complicated than the ones in the
# original example, because we want to support MySQL, in which case, the
# ORDER BY clause does not accept forms like table-name.column-name. Instead,
# a alias has to be created via label(). See more:
# http://dev.mysql.com/doc/refman/5.6/en/union.html
u = union(
select([addresses.c.id, addresses.c.user_id,
addresses.c.email_address.label('eaddr')]).where(
addresses.c.email_address == '*****@*****.**'),
select([addresses.c.id, addresses.c.user_id,
addresses.c.email_address]).where(
addresses.c.email_address.like('*****@*****.**'))).order_by('eaddr')
print u
for row in conn.execute(u):
print row
from sqlalchemy.sql import except_
# MySQL does not support EXCEPT.
if not re.match("mysql://", db):
u = except_(
addresses.select().where(addresses.c.email_address.like('%@%.com')),
addresses.select().where(addresses.c.email_address.like('*****@*****.**'))
)
print u