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Added Spanner DML/PDML samples. [(#1742)](GoogleCloudPlatform/python-…
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* Added Spanner DML/PDML samples.

* Fixed lint issues and bumped version.
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kurtisvg authored Oct 10, 2018
1 parent 9924d57 commit 0850798
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2 changes: 1 addition & 1 deletion samples/samples/requirements.txt
Original file line number Diff line number Diff line change
@@ -1,2 +1,2 @@
google-cloud-spanner==1.4.0
google-cloud-spanner==1.6.0
futures==3.2.0; python_version < "3"
311 changes: 311 additions & 0 deletions samples/samples/snippets.py
Original file line number Diff line number Diff line change
Expand Up @@ -748,6 +748,273 @@ def query_nested_struct_field(instance_id, database_id):
# [END spanner_field_access_on_nested_struct_parameters]


def insert_data_with_dml(instance_id, database_id):
"""Inserts sample data into the given database using a DML statement. """
# [START spanner_dml_standard_insert]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def insert_singers(transaction):
row_ct = transaction.execute_update(
"INSERT Singers (SingerId, FirstName, LastName) "
" VALUES (10, 'Virginia', 'Watson')"
)

print("{} record(s) inserted.".format(row_ct))

database.run_in_transaction(insert_singers)
# [END spanner_dml_standard_insert]


def update_data_with_dml(instance_id, database_id):
"""Updates sample data from the database using a DML statement. """
# [START spanner_dml_standard_update]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def update_albums(transaction):
row_ct = transaction.execute_update(
"UPDATE Albums "
"SET MarketingBudget = MarketingBudget * 2 "
"WHERE SingerId = 1 and AlbumId = 1"
)

print("{} record(s) updated.".format(row_ct))

database.run_in_transaction(update_albums)
# [END spanner_dml_standard_update]


def delete_data_with_dml(instance_id, database_id):
"""Deletes sample data from the database using a DML statement. """
# [START spanner_dml_standard_delete]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def delete_singers(transaction):
row_ct = transaction.execute_update(
"DELETE Singers WHERE FirstName = 'Alice'"
)

print("{} record(s) deleted.".format(row_ct))

database.run_in_transaction(delete_singers)
# [END spanner_dml_standard_delete]


def update_data_with_dml_timestamp(instance_id, database_id):
"""Updates data with Timestamp from the database using a DML statement. """
# [START spanner_dml_standard_update_with_timestamp]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def update_albums(transaction):
row_ct = transaction.execute_update(
"UPDATE Albums "
"SET LastUpdateTime = PENDING_COMMIT_TIMESTAMP() "
"WHERE SingerId = 1"
)

print("{} record(s) updated.".format(row_ct))

database.run_in_transaction(update_albums)
# [END spanner_dml_standard_update_with_timestamp]


def dml_write_read_transaction(instance_id, database_id):
"""First inserts data then reads it from within a transaction using DML."""
# [START spanner_dml_write_then_read]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def read_then_write(transaction):
# Insert record.
row_ct = transaction.execute_update(
"INSERT Singers (SingerId, FirstName, LastName) "
" VALUES (11, 'Timothy', 'Campbell')"
)
print("{} record(s) inserted.".format(row_ct))

# Read newly inserted record.
results = transaction.execute_sql(
"SELECT FirstName, LastName FROM Singers WHERE SingerId = 11"
)
for result in results:
print("FirstName: {}, LastName: {}".format(*result))

database.run_in_transaction(read_then_write)
# [END spanner_dml_write_then_read]


def update_data_with_dml_struct(instance_id, database_id):
"""Updates data with a DML statement and STRUCT parameters. """
# [START spanner_dml_structs]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

record_type = param_types.Struct([
param_types.StructField('FirstName', param_types.STRING),
param_types.StructField('LastName', param_types.STRING)
])
record_value = ('Timothy', 'Campbell')

def write_with_struct(transaction):
row_ct = transaction.execute_update(
"UPDATE Singers SET LastName = 'Grant' "
"WHERE STRUCT<FirstName STRING, LastName STRING>"
"(FirstName, LastName) = @name",
params={'name': record_value},
param_types={'name': record_type}
)
print("{} record(s) updated.".format(row_ct))

database.run_in_transaction(write_with_struct)
# [END spanner_dml_structs]


def insert_with_dml(instance_id, database_id):
"""Inserts data with a DML statement into the database. """
# [START spanner_dml_getting_started_insert]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def insert_singers(transaction):
row_ct = transaction.execute_update(
"INSERT Singers (SingerId, FirstName, LastName) VALUES "
"(12, 'Melissa', 'Garcia'), "
"(13, 'Russell', 'Morales'), "
"(14, 'Jacqueline', 'Long'), "
"(15, 'Dylan', 'Shaw')"
)
print("{} record(s) inserted.".format(row_ct))

database.run_in_transaction(insert_singers)
# [END spanner_dml_getting_started_insert]


def write_with_dml_transaction(instance_id, database_id):
""" Transfers a marketing budget from one album to another. """
# [START spanner_dml_getting_started_update]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

def transfer_budget(transaction):
# Transfer marketing budget from one album to another. Performed in a
# single transaction to ensure that the transfer is atomic.
first_album_result = transaction.execute_sql(
"SELECT MarketingBudget from Albums "
"WHERE SingerId = 1 and AlbumId = 1"
)
first_album_row = list(first_album_result)[0]
first_album_budget = first_album_row[0]

transfer_amount = 300000

# Transaction will only be committed if this condition still holds at
# the time of commit. Otherwise it will be aborted and the callable
# will be rerun by the client library
if first_album_budget >= transfer_amount:
second_album_result = transaction.execute_sql(
"SELECT MarketingBudget from Albums "
"WHERE SingerId = 1 and AlbumId = 1"
)
second_album_row = list(second_album_result)[0]
second_album_budget = second_album_row[0]

first_album_budget -= transfer_amount
second_album_budget += transfer_amount

# Update first album
transaction.execute_update(
"UPDATE Albums "
"SET MarketingBudget = @AlbumBudget "
"WHERE SingerId = 1 and AlbumId = 1",
params={"AlbumBudget": first_album_budget},
param_types={"AlbumBudget": spanner.param_types.INT64}
)

# Update second album
transaction.execute_update(
"UPDATE Albums "
"SET MarketingBudget = @AlbumBudget "
"WHERE SingerId = 2 and AlbumId = 2",
params={"AlbumBudget": second_album_budget},
param_types={"AlbumBudget": spanner.param_types.INT64}
)

print("Transferred {} from Album1's budget to Album2's".format(
transfer_amount))

database.run_in_transaction(transfer_budget)
# [END spanner_dml_getting_started_update]


def update_data_with_partitioned_dml(instance_id, database_id):
""" Update sample data with a partitioned DML statement. """
# [START spanner_dml_partitioned_update]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"

spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

row_ct = database.execute_partitioned_dml(
"UPDATE Albums SET MarketingBudget = 100000 WHERE SingerId > 1"
)

print("{} records updated.".format(row_ct))
# [END spanner_dml_partitioned_update]


def delete_data_with_partitioned_dml(instance_id, database_id):
""" Delete sample data with a partitioned DML statement. """
# [START spanner_dml_partitioned_delete]
# instance_id = "your-spanner-instance"
# database_id = "your-spanner-db-id"
spanner_client = spanner.Client()
instance = spanner_client.instance(instance_id)
database = instance.database(database_id)

row_ct = database.execute_partitioned_dml(
"DELETE Singers WHERE SingerId > 10"
)

print("{} record(s) deleted.".format(row_ct))
# [END spanner_dml_partitioned_delete]


if __name__ == '__main__': # noqa: C901
parser = argparse.ArgumentParser(
description=__doc__,
Expand Down Expand Up @@ -802,6 +1069,30 @@ def query_nested_struct_field(instance_id, database_id):
'query_struct_field', help=query_struct_field.__doc__)
subparsers.add_parser(
'query_nested_struct_field', help=query_nested_struct_field.__doc__)
subparsers.add_parser(
'insert_data_with_dml', help=insert_data_with_dml.__doc__)
subparsers.add_parser(
'update_data_with_dml', help=update_data_with_dml.__doc__)
subparsers.add_parser(
'delete_data_with_dml', help=delete_data_with_dml.__doc__)
subparsers.add_parser(
'update_data_with_dml_timestamp',
help=update_data_with_dml_timestamp.__doc__)
subparsers.add_parser(
'dml_write_read_transaction',
help=dml_write_read_transaction.__doc__)
subparsers.add_parser(
'update_data_with_dml_struct',
help=update_data_with_dml_struct.__doc__)
subparsers.add_parser('insert_with_dml', help=insert_with_dml.__doc__)
subparsers.add_parser(
'write_with_dml_transaction', help=write_with_dml_transaction.__doc__)
subparsers.add_parser(
'update_data_with_partitioned_dml',
help=update_data_with_partitioned_dml.__doc__)
subparsers.add_parser(
'delete_data_with_partitioned_dml',
help=delete_data_with_partitioned_dml.__doc__)

args = parser.parse_args()

Expand Down Expand Up @@ -857,3 +1148,23 @@ def query_nested_struct_field(instance_id, database_id):
query_struct_field(args.instance_id, args.database_id)
elif args.command == 'query_nested_struct_field':
query_nested_struct_field(args.instance_id, args.database_id)
elif args.command == 'insert_data_with_dml':
insert_data_with_dml(args.instance_id, args.database_id)
elif args.command == 'update_data_with_dml':
update_data_with_dml(args.instance_id, args.database_id)
elif args.command == 'delete_data_with_dml':
delete_data_with_dml(args.instance_id, args.database_id)
elif args.command == 'update_data_with_dml_timestamp':
update_data_with_dml_timestamp(args.instance_id, args.database_id)
elif args.command == 'dml_write_read_transaction':
dml_write_read_transaction(args.instance_id, args.database_id)
elif args.command == 'update_data_with_dml_struct':
update_data_with_dml_struct(args.instance_id, args.database_id)
elif args.command == 'insert_with_dml':
insert_with_dml(args.instance_id, args.database_id)
elif args.command == 'write_with_dml_transaction':
write_with_dml_transaction(args.instance_id, args.database_id)
elif args.command == 'update_data_with_partitioned_dml':
update_data_with_partitioned_dml(args.instance_id, args.database_id)
elif args.command == 'delete_data_with_partitioned_dml':
delete_data_with_partitioned_dml(args.instance_id, args.database_id)
61 changes: 61 additions & 0 deletions samples/samples/snippets_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -209,3 +209,64 @@ def test_query_nested_struct_field(capsys):
out, _ = capsys.readouterr()
assert 'SingerId: 6 SongName: Imagination' in out
assert 'SingerId: 9 SongName: Imagination' in out


def test_insert_data_with_dml(capsys):
snippets.insert_data_with_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '1 record(s) inserted.' in out


def test_update_data_with_dml(capsys):
snippets.update_data_with_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '1 record(s) updated.' in out


def test_delete_data_with_dml(capsys):
snippets.delete_data_with_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '1 record(s) deleted.' in out


def test_update_data_with_dml_timestamp(capsys):
snippets.update_data_with_dml_timestamp(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '2 record(s) updated.' in out


def test_dml_write_read_transaction(capsys):
snippets.dml_write_read_transaction(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '1 record(s) inserted.' in out
assert 'FirstName: Timothy, LastName: Campbell' in out


def test_update_data_with_dml_struct(capsys):
snippets.update_data_with_dml_struct(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '1 record(s) updated' in out


def test_insert_with_dml(capsys):
snippets.insert_with_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert '4 record(s) inserted' in out


def test_write_with_dml_transaction(capsys):
snippets.write_with_dml_transaction(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert "Transferred 300000 from Album1's budget to Album2's" in out


def update_data_with_partitioned_dml(capsys):
snippets.update_data_with_partitioned_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert "3 record(s) updated" in out


def delete_data_with_partitioned_dml(capsys):
snippets.delete_data_with_partitioned_dml(INSTANCE_ID, DATABASE_ID)
out, _ = capsys.readouterr()
assert "5 record(s) deleted" in out

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