def put_metrics(self, build_time_metrics):
if not build_time_metrics:
return None
try:
item = self.table.get_item(instance_type=_get_instance_type(self.localrun), config=self.benchmark_config)
self.logger.debug("Found existing entity in dynamodb")
except ItemNotFound:
self.logger.debug("No existing entity found in dynamodb, creating new one")
item = Item(self.table, data={'instance_type': _get_instance_type(self.localrun),
'config': self.benchmark_config})
build_time_json = item['build_time']
if build_time_json:
self.logger.debug("Extending existing metric list for build_time")
# extend existing list
build_time = json.loads(build_time_json)
build_time.extend(build_time_metrics)
item['build_time'] = json.dumps(build_time)
else:
item['build_time'] = json.dumps(build_time_metrics)
if item.needs_save():
item.partial_save()
self.logger.debug("Saved item to dynamodb")
def activate(table, project, playbook, progress_str):
print('.', end='')
try:
state = table.get_item(project=project, consistent=True)
except ItemNotFound:
state = Item(table, data={
'project': project,
'state': 'idle',
})
if state['state'] == 'blocked':
raise ProjectBlockedException()
if state['state'] == 'active':
raise ProjectActiveException()
state['state'] = 'active'
state.partial_save()
return state
def activate(table, project, playbook, progress_str):
print('.', end='')
try:
state = table.get_item(project=project, consistent=True)
except ItemNotFound:
state = Item(table, data={
'project': project,
'state': 'idle',
})
if state['state'] == 'blocked':
raise ProjectBlockedException()
if state['state'] == 'active':
raise ProjectActiveException()
state['state'] = 'active'
state.partial_save()
return state
def test_integration(self):
# Test creating a full table with all options specified.
users = Table.create('users', schema=[
HashKey('username'),
RangeKey('friend_count', data_type=NUMBER)
], throughput={
'read': 5,
'write': 5,
}, indexes=[
KeysOnlyIndex('LastNameIndex', parts=[
HashKey('username'),
RangeKey('last_name')
]),
])
self.addCleanup(users.delete)
self.assertEqual(len(users.schema), 2)
self.assertEqual(users.throughput['read'], 5)
# Wait for it.
time.sleep(60)
# Make sure things line up if we're introspecting the table.
users_hit_api = Table('users')
users_hit_api.describe()
self.assertEqual(len(users.schema), len(users_hit_api.schema))
self.assertEqual(users.throughput, users_hit_api.throughput)
self.assertEqual(len(users.indexes), len(users_hit_api.indexes))
# Test putting some items individually.
users.put_item(data={
'username': '******',
'first_name': 'John',
'last_name': 'Doe',
'friend_count': 4
})
users.put_item(data={
'username': '******',
'first_name': 'Alice',
'last_name': 'Expert',
'friend_count': 2
})
time.sleep(5)
# Test batch writing.
with users.batch_write() as batch:
batch.put_item({
'username': '******',
'first_name': 'Jane',
'last_name': 'Doe',
'friend_count': 3
})
batch.delete_item(username='******', friend_count=2)
batch.put_item({
'username': '******',
'first_name': 'Bob',
'last_name': 'Smith',
'friend_count': 1
})
time.sleep(5)
# Test getting an item & updating it.
# This is the "safe" variant (only write if there have been no
# changes).
jane = users.get_item(username='******', friend_count=3)
self.assertEqual(jane['first_name'], 'Jane')
jane['last_name'] = 'Doh'
self.assertTrue(jane.save())
# Test strongly consistent getting of an item.
# Additionally, test the overwrite behavior.
client_1_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(jane['first_name'], 'Jane')
client_2_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(jane['first_name'], 'Jane')
# Write & assert the ``first_name`` is gone, then...
del client_1_jane['first_name']
self.assertTrue(client_1_jane.save())
check_name = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(check_name['first_name'], None)
# ...overwrite the data with what's in memory.
client_2_jane['first_name'] = 'Joan'
# Now a write that fails due to default expectations...
self.assertRaises(exceptions.JSONResponseError, client_2_jane.save)
# ... so we force an overwrite.
self.assertTrue(client_2_jane.save(overwrite=True))
check_name_again = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(check_name_again['first_name'], 'Joan')
# Reset it.
jane['username'] = '******'
jane['first_name'] = 'Jane'
jane['last_name'] = 'Doe'
jane['friend_count'] = 3
self.assertTrue(jane.save(overwrite=True))
# Test the partial update behavior.
client_3_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
client_4_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
client_3_jane['favorite_band'] = 'Feed Me'
# No ``overwrite`` needed due to new data.
self.assertTrue(client_3_jane.save())
# Expectations are only checked on the ``first_name``, so what wouldn't
# have succeeded by default does succeed here.
client_4_jane['first_name'] = 'Jacqueline'
self.assertTrue(client_4_jane.partial_save())
partial_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(partial_jane['favorite_band'], 'Feed Me')
self.assertEqual(partial_jane['first_name'], 'Jacqueline')
# Reset it.
jane['username'] = '******'
jane['first_name'] = 'Jane'
jane['last_name'] = 'Doe'
jane['friend_count'] = 3
self.assertTrue(jane.save(overwrite=True))
# Ensure that partial saves of a brand-new object work.
sadie = Item(users, data={
'username': '******',
'first_name': 'Sadie',
'favorite_band': 'Zedd',
'friend_count': 7
})
self.assertTrue(sadie.partial_save())
serverside_sadie = users.get_item(
username='******',
friend_count=7,
consistent=True
)
self.assertEqual(serverside_sadie['first_name'], 'Sadie')
# Test the eventually consistent query.
results = users.query(
username__eq='johndoe',
last_name__eq='Doe',
index='LastNameIndex',
attributes=('username',),
reverse=True
)
for res in results:
self.assertTrue(res['username'] in ['johndoe',])
self.assertEqual(res.keys(), ['username'])
# Test the strongly consistent query.
c_results = users.query(
username__eq='johndoe',
last_name__eq='Doe',
index='LastNameIndex',
reverse=True,
consistent=True
)
for res in c_results:
self.assertTrue(res['username'] in ['johndoe',])
# Test scans without filters.
all_users = users.scan(limit=7)
self.assertEqual(all_users.next()['username'], 'bob')
self.assertEqual(all_users.next()['username'], 'jane')
self.assertEqual(all_users.next()['username'], 'johndoe')
# Test scans with a filter.
filtered_users = users.scan(limit=2, username__beginswith='j')
self.assertEqual(filtered_users.next()['username'], 'jane')
self.assertEqual(filtered_users.next()['username'], 'johndoe')
# Test deleting a single item.
johndoe = users.get_item(username='******', friend_count=4)
johndoe.delete()
# Test the eventually consistent batch get.
results = users.batch_get(keys=[
{'username': '******', 'friend_count': 1},
{'username': '******', 'friend_count': 3}
])
batch_users = []
for res in results:
batch_users.append(res)
self.assertTrue(res['first_name'] in ['Bob', 'Jane'])
self.assertEqual(len(batch_users), 2)
# Test the strongly consistent batch get.
c_results = users.batch_get(keys=[
{'username': '******', 'friend_count': 1},
{'username': '******', 'friend_count': 3}
], consistent=True)
c_batch_users = []
for res in c_results:
c_batch_users.append(res)
self.assertTrue(res['first_name'] in ['Bob', 'Jane'])
self.assertEqual(len(c_batch_users), 2)
# Test count, but in a weak fashion. Because lag time.
self.assertTrue(users.count() > -1)
# Test query count
count = users.query_count(
username__eq='bob',
)
self.assertEqual(count, 1)
# Test without LSIs (describe calls shouldn't fail).
admins = Table.create('admins', schema=[
HashKey('username')
])
self.addCleanup(admins.delete)
time.sleep(60)
admins.describe()
self.assertEqual(admins.throughput['read'], 5)
self.assertEqual(admins.indexes, [])
# A single query term should fail on a table with *ONLY* a HashKey.
self.assertRaises(
exceptions.QueryError,
admins.query,
username__eq='johndoe'
)
# But it shouldn't break on more complex tables.
res = users.query(username__eq='johndoe')
# Test putting with/without sets.
mau5_created = users.put_item(data={
'username': '******',
'first_name': 'dead',
'last_name': 'mau5',
'friend_count': 2,
'friends': set(['skrill', 'penny']),
})
self.assertTrue(mau5_created)
penny_created = users.put_item(data={
'username': '******',
'first_name': 'Penny',
'friend_count': 0,
'friends': set([]),
})
self.assertTrue(penny_created)
def test_integration(self):
# Test creating a full table with all options specified.
users = Table.create('users', schema=[
HashKey('username'),
RangeKey('friend_count', data_type=NUMBER)
], throughput={
'read': 5,
'write': 5,
}, indexes={
KeysOnlyIndex('LastNameIndex', parts=[
HashKey('username'),
RangeKey('last_name')
]),
})
self.addCleanup(users.delete)
self.assertEqual(len(users.schema), 2)
self.assertEqual(users.throughput['read'], 5)
# Wait for it.
time.sleep(60)
# Make sure things line up if we're introspecting the table.
users_hit_api = Table('users')
users_hit_api.describe()
self.assertEqual(len(users.schema), len(users_hit_api.schema))
self.assertEqual(users.throughput, users_hit_api.throughput)
self.assertEqual(len(users.indexes), len(users_hit_api.indexes))
# Test putting some items individually.
users.put_item(data={
'username': '******',
'first_name': 'John',
'last_name': 'Doe',
'friend_count': 4
})
users.put_item(data={
'username': '******',
'first_name': 'Alice',
'last_name': 'Expert',
'friend_count': 2
})
time.sleep(5)
# Test batch writing.
with users.batch_write() as batch:
batch.put_item({
'username': '******',
'first_name': 'Jane',
'last_name': 'Doe',
'friend_count': 3
})
batch.delete_item(username='******', friend_count=2)
batch.put_item({
'username': '******',
'first_name': 'Bob',
'last_name': 'Smith',
'friend_count': 1
})
time.sleep(5)
# Test getting an item & updating it.
# This is the "safe" variant (only write if there have been no
# changes).
jane = users.get_item(username='******', friend_count=3)
self.assertEqual(jane['first_name'], 'Jane')
jane['last_name'] = 'Doh'
self.assertTrue(jane.save())
# Test strongly consistent getting of an item.
# Additionally, test the overwrite behavior.
client_1_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(jane['first_name'], 'Jane')
client_2_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(jane['first_name'], 'Jane')
# Write & assert the ``first_name`` is gone, then...
del client_1_jane['first_name']
self.assertTrue(client_1_jane.save())
check_name = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(check_name['first_name'], None)
# ...overwrite the data with what's in memory.
client_2_jane['first_name'] = 'Joan'
# Now a write that fails due to default expectations...
self.assertRaises(exceptions.JSONResponseError, client_2_jane.save)
# ... so we force an overwrite.
self.assertTrue(client_2_jane.save(overwrite=True))
check_name_again = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(check_name_again['first_name'], 'Joan')
# Reset it.
jane['username'] = '******'
jane['first_name'] = 'Jane'
jane['last_name'] = 'Doe'
jane['friend_count'] = 3
self.assertTrue(jane.save(overwrite=True))
# Test the partial update behavior.
client_3_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
client_4_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
client_3_jane['favorite_band'] = 'Feed Me'
# No ``overwrite`` needed due to new data.
self.assertTrue(client_3_jane.save())
# Expectations are only checked on the ``first_name``, so what wouldn't
# have succeeded by default does succeed here.
client_4_jane['first_name'] = 'Jacqueline'
self.assertTrue(client_4_jane.partial_save())
partial_jane = users.get_item(
username='******',
friend_count=3,
consistent=True
)
self.assertEqual(partial_jane['favorite_band'], 'Feed Me')
self.assertEqual(partial_jane['first_name'], 'Jacqueline')
# Reset it.
jane['username'] = '******'
jane['first_name'] = 'Jane'
jane['last_name'] = 'Doe'
jane['friend_count'] = 3
self.assertTrue(jane.save(overwrite=True))
# Ensure that partial saves of a brand-new object work.
sadie = Item(users, data={
'username': '******',
'first_name': 'Sadie',
'favorite_band': 'Zedd',
'friend_count': 7
})
self.assertTrue(sadie.partial_save())
serverside_sadie = users.get_item(
username='******',
friend_count=7,
consistent=True
)
self.assertEqual(serverside_sadie['first_name'], 'Sadie')
# Test the eventually consistent query.
results = users.query(
username__eq='johndoe',
last_name__eq='Doe',
index='LastNameIndex',
attributes=('username',),
reverse=True
)
for res in results:
self.assertTrue(res['username'] in ['johndoe',])
self.assertEqual(res.keys(), ['username'])
# Test the strongly consistent query.
c_results = users.query(
username__eq='johndoe',
last_name__eq='Doe',
index='LastNameIndex',
reverse=True,
consistent=True
)
for res in c_results:
self.assertTrue(res['username'] in ['johndoe',])
# Test scans without filters.
all_users = users.scan(limit=7)
self.assertEqual(all_users.next()['username'], 'bob')
self.assertEqual(all_users.next()['username'], 'jane')
self.assertEqual(all_users.next()['username'], 'johndoe')
# Test scans with a filter.
filtered_users = users.scan(limit=2, username__beginswith='j')
self.assertEqual(filtered_users.next()['username'], 'jane')
self.assertEqual(filtered_users.next()['username'], 'johndoe')
# Test deleting a single item.
johndoe = users.get_item(username='******', friend_count=4)
johndoe.delete()
# Test the eventually consistent batch get.
results = users.batch_get(keys=[
{'username': '******', 'friend_count': 1},
{'username': '******', 'friend_count': 3}
])
batch_users = []
for res in results:
batch_users.append(res)
self.assertTrue(res['first_name'] in ['Bob', 'Jane'])
self.assertEqual(len(batch_users), 2)
# Test the strongly consistent batch get.
c_results = users.batch_get(keys=[
{'username': '******', 'friend_count': 1},
{'username': '******', 'friend_count': 3}
], consistent=True)
c_batch_users = []
for res in c_results:
c_batch_users.append(res)
self.assertTrue(res['first_name'] in ['Bob', 'Jane'])
self.assertEqual(len(c_batch_users), 2)
# Test count, but in a weak fashion. Because lag time.
self.assertTrue(users.count() > -1)
# Test query count
count = users.query_count(
username__eq='bob',
)
self.assertEqual(count, 1)
# Test without LSIs (describe calls shouldn't fail).
admins = Table.create('admins', schema=[
HashKey('username')
])
self.addCleanup(admins.delete)
time.sleep(60)
admins.describe()
self.assertEqual(admins.throughput['read'], 5)
self.assertEqual(admins.indexes, [])
# A single query term should fail on a table with *ONLY* a HashKey.
self.assertRaises(
exceptions.QueryError,
admins.query,
username__eq='johndoe'
)
# But it shouldn't break on more complex tables.
res = users.query(username__eq='johndoe')
# Test putting with/without sets.
mau5_created = users.put_item(data={
'username': '******',
'first_name': 'dead',
'last_name': 'mau5',
'friend_count': 2,
'friends': set(['skrill', 'penny']),
})
self.assertTrue(mau5_created)
penny_created = users.put_item(data={
'username': '******',
'first_name': 'Penny',
'friend_count': 0,
'friends': set([]),
})
self.assertTrue(penny_created)
def test_integration(self):
# Test creating a full table with all options specified.
users = Table.create(
"users",
schema=[HashKey("username"), RangeKey("friend_count", data_type=NUMBER)],
throughput={"read": 5, "write": 5},
indexes=[KeysOnlyIndex("LastNameIndex", parts=[HashKey("username"), RangeKey("last_name")])],
)
self.addCleanup(users.delete)
self.assertEqual(len(users.schema), 2)
self.assertEqual(users.throughput["read"], 5)
# Wait for it.
time.sleep(60)
# Make sure things line up if we're introspecting the table.
users_hit_api = Table("users")
users_hit_api.describe()
self.assertEqual(len(users.schema), len(users_hit_api.schema))
self.assertEqual(users.throughput, users_hit_api.throughput)
self.assertEqual(len(users.indexes), len(users_hit_api.indexes))
# Test putting some items individually.
users.put_item(data={"username": "******", "first_name": "John", "last_name": "Doe", "friend_count": 4})
users.put_item(data={"username": "******", "first_name": "Alice", "last_name": "Expert", "friend_count": 2})
time.sleep(5)
# Test batch writing.
with users.batch_write() as batch:
batch.put_item({"username": "******", "first_name": "Jane", "last_name": "Doe", "friend_count": 3})
batch.delete_item(username="******", friend_count=2)
batch.put_item({"username": "******", "first_name": "Bob", "last_name": "Smith", "friend_count": 1})
time.sleep(5)
# Test getting an item & updating it.
# This is the "safe" variant (only write if there have been no
# changes).
jane = users.get_item(username="******", friend_count=3)
self.assertEqual(jane["first_name"], "Jane")
jane["last_name"] = "Doh"
self.assertTrue(jane.save())
# Test strongly consistent getting of an item.
# Additionally, test the overwrite behavior.
client_1_jane = users.get_item(username="******", friend_count=3, consistent=True)
self.assertEqual(jane["first_name"], "Jane")
client_2_jane = users.get_item(username="******", friend_count=3, consistent=True)
self.assertEqual(jane["first_name"], "Jane")
# Write & assert the ``first_name`` is gone, then...
del client_1_jane["first_name"]
self.assertTrue(client_1_jane.save())
check_name = users.get_item(username="******", friend_count=3, consistent=True)
self.assertEqual(check_name["first_name"], None)
# ...overwrite the data with what's in memory.
client_2_jane["first_name"] = "Joan"
# Now a write that fails due to default expectations...
self.assertRaises(exceptions.JSONResponseError, client_2_jane.save)
# ... so we force an overwrite.
self.assertTrue(client_2_jane.save(overwrite=True))
check_name_again = users.get_item(username="******", friend_count=3, consistent=True)
self.assertEqual(check_name_again["first_name"], "Joan")
# Reset it.
jane["username"] = "******"
jane["first_name"] = "Jane"
jane["last_name"] = "Doe"
jane["friend_count"] = 3
self.assertTrue(jane.save(overwrite=True))
# Test the partial update behavior.
client_3_jane = users.get_item(username="******", friend_count=3, consistent=True)
client_4_jane = users.get_item(username="******", friend_count=3, consistent=True)
client_3_jane["favorite_band"] = "Feed Me"
# No ``overwrite`` needed due to new data.
self.assertTrue(client_3_jane.save())
# Expectations are only checked on the ``first_name``, so what wouldn't
# have succeeded by default does succeed here.
client_4_jane["first_name"] = "Jacqueline"
self.assertTrue(client_4_jane.partial_save())
partial_jane = users.get_item(username="******", friend_count=3, consistent=True)
self.assertEqual(partial_jane["favorite_band"], "Feed Me")
self.assertEqual(partial_jane["first_name"], "Jacqueline")
# Reset it.
jane["username"] = "******"
jane["first_name"] = "Jane"
jane["last_name"] = "Doe"
jane["friend_count"] = 3
self.assertTrue(jane.save(overwrite=True))
# Ensure that partial saves of a brand-new object work.
sadie = Item(
users, data={"username": "******", "first_name": "Sadie", "favorite_band": "Zedd", "friend_count": 7}
)
self.assertTrue(sadie.partial_save())
serverside_sadie = users.get_item(username="******", friend_count=7, consistent=True)
self.assertEqual(serverside_sadie["first_name"], "Sadie")
# Test the eventually consistent query.
results = users.query(
username__eq="johndoe", last_name__eq="Doe", index="LastNameIndex", attributes=("username",), reverse=True
)
for res in results:
self.assertTrue(res["username"] in ["johndoe"])
self.assertEqual(res.keys(), ["username"])
# Test the strongly consistent query.
c_results = users.query(
username__eq="johndoe", last_name__eq="Doe", index="LastNameIndex", reverse=True, consistent=True
)
for res in c_results:
self.assertTrue(res["username"] in ["johndoe"])
# Test scans without filters.
all_users = users.scan(limit=7)
self.assertEqual(all_users.next()["username"], "bob")
self.assertEqual(all_users.next()["username"], "jane")
self.assertEqual(all_users.next()["username"], "johndoe")
# Test scans with a filter.
filtered_users = users.scan(limit=2, username__beginswith="j")
self.assertEqual(filtered_users.next()["username"], "jane")
self.assertEqual(filtered_users.next()["username"], "johndoe")
# Test deleting a single item.
johndoe = users.get_item(username="******", friend_count=4)
johndoe.delete()
# Test the eventually consistent batch get.
results = users.batch_get(
keys=[{"username": "******", "friend_count": 1}, {"username": "******", "friend_count": 3}]
)
batch_users = []
for res in results:
batch_users.append(res)
self.assertTrue(res["first_name"] in ["Bob", "Jane"])
self.assertEqual(len(batch_users), 2)
# Test the strongly consistent batch get.
c_results = users.batch_get(
keys=[{"username": "******", "friend_count": 1}, {"username": "******", "friend_count": 3}], consistent=True
)
c_batch_users = []
for res in c_results:
c_batch_users.append(res)
self.assertTrue(res["first_name"] in ["Bob", "Jane"])
self.assertEqual(len(c_batch_users), 2)
# Test count, but in a weak fashion. Because lag time.
self.assertTrue(users.count() > -1)
# Test query count
count = users.query_count(username__eq="bob")
self.assertEqual(count, 1)
# Test without LSIs (describe calls shouldn't fail).
admins = Table.create("admins", schema=[HashKey("username")])
self.addCleanup(admins.delete)
time.sleep(60)
admins.describe()
self.assertEqual(admins.throughput["read"], 5)
self.assertEqual(admins.indexes, [])
# A single query term should fail on a table with *ONLY* a HashKey.
self.assertRaises(exceptions.QueryError, admins.query, username__eq="johndoe")
# But it shouldn't break on more complex tables.
res = users.query(username__eq="johndoe")
# Test putting with/without sets.
mau5_created = users.put_item(
data={
"username": "******",
"first_name": "dead",
"last_name": "mau5",
"friend_count": 2,
"friends": set(["skrill", "penny"]),
}
)
self.assertTrue(mau5_created)
penny_created = users.put_item(
data={"username": "******", "first_name": "Penny", "friend_count": 0, "friends": set([])}
)
self.assertTrue(penny_created)
shard_iterator = k_conn.get_shard_iterator(stream_name, shard_id, shard_iterator_type)
next_iterator = shard_iterator['ShardIterator']
shard_ids.append({'shard_id' : shard_id ,'shard_iterator' : shard_iterator['ShardIterator'] })
tries = 0
result = []
while tries < 100:
tries += 1
try:
response = k_conn.get_records(next_iterator, limit=1)
next_iterator = response['NextShardIterator']
bookmark= Table(tableName)
if len(response['Records'])> 0:
for res in response['Records']:
dbrecord = bookmark.get_item(redShiftEndpoint=dbHost)
dbrecord['next_iterator'] = next_iterator
print res['Data']
dbrecord['sequenceNumber'] = res['SequenceNumber']
dbrecord.partial_save()
try:
with psycopg2.connect(**db_args) as conn:
with conn.cursor() as curs:
curs.execute(res['Data'])
except:
pass
else :
print tries
except ProvisionedThroughputExceededException as ptee:
print (ptee.message)
time.sleep(5)