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# Copyright DataStax, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from binascii import unhexlify
import logging
from unittest.mock import Mock
import os
import timeit
import platform
import cassandra
from cassandra.cqltypes import strip_frozen
from cassandra.marshal import uint16_unpack, uint16_pack
from cassandra.metadata import (Murmur3Token, MD5Token,
BytesToken, ReplicationStrategy,
NetworkTopologyStrategy, SimpleStrategy,
LocalStrategy, protect_name,
protect_names, protect_value, is_valid_name,
UserType, KeyspaceMetadata, get_schema_parser,
_UnknownStrategy, ColumnMetadata, TableMetadata,
IndexMetadata, Function, Aggregate,
Metadata, TokenMap, ReplicationFactor)
from cassandra.policies import SimpleConvictionPolicy
from cassandra.pool import Host
log = logging.getLogger(__name__)
class ReplicationFactorTest(unittest.TestCase):
def test_replication_factor_parsing(self):
rf = ReplicationFactor.create('3')
self.assertEqual(rf.all_replicas, 3)
self.assertEqual(rf.full_replicas, 3)
self.assertEqual(rf.transient_replicas, None)
self.assertEqual(str(rf), '3')
rf = ReplicationFactor.create('3/1')
self.assertEqual(rf.all_replicas, 3)
self.assertEqual(rf.full_replicas, 2)
self.assertEqual(rf.transient_replicas, 1)
self.assertEqual(str(rf), '3/1')
self.assertRaises(ValueError, ReplicationFactor.create, '3/')
self.assertRaises(ValueError, ReplicationFactor.create, 'a/1')
self.assertRaises(ValueError, ReplicationFactor.create, 'a')
self.assertRaises(ValueError, ReplicationFactor.create, '3/a')
def test_replication_factor_equality(self):
self.assertEqual(ReplicationFactor.create('3/1'), ReplicationFactor.create('3/1'))
self.assertEqual(ReplicationFactor.create('3'), ReplicationFactor.create('3'))
self.assertNotEqual(ReplicationFactor.create('3'), ReplicationFactor.create('3/1'))
self.assertNotEqual(ReplicationFactor.create('3'), ReplicationFactor.create('3/1'))
class StrategiesTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
"Hook method for setting up class fixture before running tests in the class."
if not hasattr(cls, 'assertItemsEqual'):
cls.assertItemsEqual = cls.assertCountEqual
def test_replication_strategy(self):
"""
Basic code coverage testing that ensures different ReplicationStrategies
can be initiated using parameters correctly.
"""
rs = ReplicationStrategy()
self.assertEqual(rs.create('OldNetworkTopologyStrategy', None), _UnknownStrategy('OldNetworkTopologyStrategy', None))
fake_options_map = {'options': 'map'}
uks = rs.create('OldNetworkTopologyStrategy', fake_options_map)
self.assertEqual(uks, _UnknownStrategy('OldNetworkTopologyStrategy', fake_options_map))
self.assertEqual(uks.make_token_replica_map({}, []), {})
fake_options_map = {'dc1': '3'}
self.assertIsInstance(rs.create('NetworkTopologyStrategy', fake_options_map), NetworkTopologyStrategy)
self.assertEqual(rs.create('NetworkTopologyStrategy', fake_options_map).dc_replication_factors,
NetworkTopologyStrategy(fake_options_map).dc_replication_factors)
fake_options_map = {'options': 'map'}
self.assertIsNone(rs.create('SimpleStrategy', fake_options_map))
fake_options_map = {'options': 'map'}
self.assertIsInstance(rs.create('LocalStrategy', fake_options_map), LocalStrategy)
fake_options_map = {'options': 'map', 'replication_factor': 3}
self.assertIsInstance(rs.create('SimpleStrategy', fake_options_map), SimpleStrategy)
self.assertEqual(rs.create('SimpleStrategy', fake_options_map).replication_factor,
SimpleStrategy(fake_options_map).replication_factor)
self.assertEqual(rs.create('xxxxxxxx', fake_options_map), _UnknownStrategy('xxxxxxxx', fake_options_map))
self.assertRaises(NotImplementedError, rs.make_token_replica_map, None, None)
self.assertRaises(NotImplementedError, rs.export_for_schema)
def test_simple_replication_type_parsing(self):
""" Test equality between passing numeric and string replication factor for simple strategy """
rs = ReplicationStrategy()
simple_int = rs.create('SimpleStrategy', {'replication_factor': 3})
simple_str = rs.create('SimpleStrategy', {'replication_factor': '3'})
self.assertEqual(simple_int.export_for_schema(), simple_str.export_for_schema())
self.assertEqual(simple_int, simple_str)
# make token replica map
ring = [MD5Token(0), MD5Token(1), MD5Token(2)]
hosts = [Host('dc1.{}'.format(host), SimpleConvictionPolicy) for host in range(3)]
token_to_host = dict(zip(ring, hosts))
self.assertEqual(
simple_int.make_token_replica_map(token_to_host, ring),
simple_str.make_token_replica_map(token_to_host, ring)
)
def test_transient_replication_parsing(self):
""" Test that we can PARSE a transient replication factor for SimpleStrategy """
rs = ReplicationStrategy()
simple_transient = rs.create('SimpleStrategy', {'replication_factor': '3/1'})
self.assertEqual(simple_transient.replication_factor_info, ReplicationFactor(3, 1))
self.assertEqual(simple_transient.replication_factor, 2)
self.assertIn("'replication_factor': '3/1'", simple_transient.export_for_schema())
simple_str = rs.create('SimpleStrategy', {'replication_factor': '2'})
self.assertNotEqual(simple_transient, simple_str)
# make token replica map
ring = [MD5Token(0), MD5Token(1), MD5Token(2)]
hosts = [Host('dc1.{}'.format(host), SimpleConvictionPolicy) for host in range(3)]
token_to_host = dict(zip(ring, hosts))
self.assertEqual(
simple_transient.make_token_replica_map(token_to_host, ring),
simple_str.make_token_replica_map(token_to_host, ring)
)
def test_nts_replication_parsing(self):
""" Test equality between passing numeric and string replication factor for NTS """
rs = ReplicationStrategy()
nts_int = rs.create('NetworkTopologyStrategy', {'dc1': 3, 'dc2': 5})
nts_str = rs.create('NetworkTopologyStrategy', {'dc1': '3', 'dc2': '5'})
self.assertEqual(nts_int.dc_replication_factors['dc1'], 3)
self.assertEqual(nts_str.dc_replication_factors['dc1'], 3)
self.assertEqual(nts_int.dc_replication_factors_info['dc1'], ReplicationFactor(3))
self.assertEqual(nts_str.dc_replication_factors_info['dc1'], ReplicationFactor(3))
self.assertEqual(nts_int.export_for_schema(), nts_str.export_for_schema())
self.assertEqual(nts_int, nts_str)
# make token replica map
ring = [MD5Token(0), MD5Token(1), MD5Token(2)]
hosts = [Host('dc1.{}'.format(host), SimpleConvictionPolicy) for host in range(3)]
token_to_host = dict(zip(ring, hosts))
self.assertEqual(
nts_int.make_token_replica_map(token_to_host, ring),
nts_str.make_token_replica_map(token_to_host, ring)
)
def test_nts_transient_parsing(self):
""" Test that we can PARSE a transient replication factor for NTS """
rs = ReplicationStrategy()
nts_transient = rs.create('NetworkTopologyStrategy', {'dc1': '3/1', 'dc2': '5/1'})
self.assertEqual(nts_transient.dc_replication_factors_info['dc1'], ReplicationFactor(3, 1))
self.assertEqual(nts_transient.dc_replication_factors_info['dc2'], ReplicationFactor(5, 1))
self.assertEqual(nts_transient.dc_replication_factors['dc1'], 2)
self.assertEqual(nts_transient.dc_replication_factors['dc2'], 4)
self.assertIn("'dc1': '3/1', 'dc2': '5/1'", nts_transient.export_for_schema())
nts_str = rs.create('NetworkTopologyStrategy', {'dc1': '3', 'dc2': '5'})
self.assertNotEqual(nts_transient, nts_str)
# make token replica map
ring = [MD5Token(0), MD5Token(1), MD5Token(2)]
hosts = [Host('dc1.{}'.format(host), SimpleConvictionPolicy) for host in range(3)]
token_to_host = dict(zip(ring, hosts))
self.assertEqual(
nts_transient.make_token_replica_map(token_to_host, ring),
nts_str.make_token_replica_map(token_to_host, ring)
)
def test_nts_make_token_replica_map(self):
token_to_host_owner = {}
dc1_1 = Host('dc1.1', SimpleConvictionPolicy)
dc1_2 = Host('dc1.2', SimpleConvictionPolicy)
dc1_3 = Host('dc1.3', SimpleConvictionPolicy)
for host in (dc1_1, dc1_2, dc1_3):
host.set_location_info('dc1', 'rack1')
token_to_host_owner[MD5Token(0)] = dc1_1
token_to_host_owner[MD5Token(100)] = dc1_2
token_to_host_owner[MD5Token(200)] = dc1_3
dc2_1 = Host('dc2.1', SimpleConvictionPolicy)
dc2_2 = Host('dc2.2', SimpleConvictionPolicy)
dc2_1.set_location_info('dc2', 'rack1')
dc2_2.set_location_info('dc2', 'rack1')
token_to_host_owner[MD5Token(1)] = dc2_1
token_to_host_owner[MD5Token(101)] = dc2_2
dc3_1 = Host('dc3.1', SimpleConvictionPolicy)
dc3_1.set_location_info('dc3', 'rack3')
token_to_host_owner[MD5Token(2)] = dc3_1
ring = [MD5Token(0),
MD5Token(1),
MD5Token(2),
MD5Token(100),
MD5Token(101),
MD5Token(200)]
nts = NetworkTopologyStrategy({'dc1': 2, 'dc2': 2, 'dc3': 1})
replica_map = nts.make_token_replica_map(token_to_host_owner, ring)
self.assertItemsEqual(replica_map[MD5Token(0)], (dc1_1, dc1_2, dc2_1, dc2_2, dc3_1))
def test_nts_token_performance(self):
"""
Tests to ensure that when rf exceeds the number of nodes available, that we dont'
needlessly iterate trying to construct tokens for nodes that don't exist.
@since 3.7
@jira_ticket PYTHON-379
@expected_result timing with 1500 rf should be same/similar to 3rf if we have 3 nodes
@test_category metadata
"""
token_to_host_owner = {}
ring = []
dc1hostnum = 3
current_token = 0
vnodes_per_host = 500
for i in range(dc1hostnum):
host = Host('dc1.{0}'.format(i), SimpleConvictionPolicy)
host.set_location_info('dc1', "rack1")
for vnode_num in range(vnodes_per_host):
md5_token = MD5Token(current_token+vnode_num)
token_to_host_owner[md5_token] = host
ring.append(md5_token)
current_token += 1000
nts = NetworkTopologyStrategy({'dc1': 3})
start_time = timeit.default_timer()
nts.make_token_replica_map(token_to_host_owner, ring)
elapsed_base = timeit.default_timer() - start_time
nts = NetworkTopologyStrategy({'dc1': 1500})
start_time = timeit.default_timer()
nts.make_token_replica_map(token_to_host_owner, ring)
elapsed_bad = timeit.default_timer() - start_time
difference = elapsed_bad - elapsed_base
if platform.machine() == 'riscv64':
self.assertTrue(difference < 2 and difference > -2)
else:
self.assertTrue(difference < 1 and difference > -1)
def test_nts_make_token_replica_map_multi_rack(self):
token_to_host_owner = {}
# (A) not enough distinct racks, first skipped is used
dc1_1 = Host('dc1.1', SimpleConvictionPolicy)
dc1_2 = Host('dc1.2', SimpleConvictionPolicy)
dc1_3 = Host('dc1.3', SimpleConvictionPolicy)
dc1_4 = Host('dc1.4', SimpleConvictionPolicy)
dc1_1.set_location_info('dc1', 'rack1')
dc1_2.set_location_info('dc1', 'rack1')
dc1_3.set_location_info('dc1', 'rack2')
dc1_4.set_location_info('dc1', 'rack2')
token_to_host_owner[MD5Token(0)] = dc1_1
token_to_host_owner[MD5Token(100)] = dc1_2
token_to_host_owner[MD5Token(200)] = dc1_3
token_to_host_owner[MD5Token(300)] = dc1_4
# (B) distinct racks, but not contiguous
dc2_1 = Host('dc2.1', SimpleConvictionPolicy)
dc2_2 = Host('dc2.2', SimpleConvictionPolicy)
dc2_3 = Host('dc2.3', SimpleConvictionPolicy)
dc2_1.set_location_info('dc2', 'rack1')
dc2_2.set_location_info('dc2', 'rack1')
dc2_3.set_location_info('dc2', 'rack2')
token_to_host_owner[MD5Token(1)] = dc2_1
token_to_host_owner[MD5Token(101)] = dc2_2
token_to_host_owner[MD5Token(201)] = dc2_3
ring = [MD5Token(0),
MD5Token(1),
MD5Token(100),
MD5Token(101),
MD5Token(200),
MD5Token(201),
MD5Token(300)]
nts = NetworkTopologyStrategy({'dc1': 3, 'dc2': 2})
replica_map = nts.make_token_replica_map(token_to_host_owner, ring)
token_replicas = replica_map[MD5Token(0)]
self.assertItemsEqual(token_replicas, (dc1_1, dc1_2, dc1_3, dc2_1, dc2_3))
def test_nts_make_token_replica_map_empty_dc(self):
host = Host('1', SimpleConvictionPolicy)
host.set_location_info('dc1', 'rack1')
token_to_host_owner = {MD5Token(0): host}
ring = [MD5Token(0)]
nts = NetworkTopologyStrategy({'dc1': 1, 'dc2': 0})
replica_map = nts.make_token_replica_map(token_to_host_owner, ring)
self.assertEqual(set(replica_map[MD5Token(0)]), set([host]))
def test_nts_export_for_schema(self):
strategy = NetworkTopologyStrategy({'dc1': '1', 'dc2': '2'})
self.assertEqual("{'class': 'NetworkTopologyStrategy', 'dc1': '1', 'dc2': '2'}",
strategy.export_for_schema())
def test_simple_strategy_make_token_replica_map(self):
host1 = Host('1', SimpleConvictionPolicy)
host2 = Host('2', SimpleConvictionPolicy)
host3 = Host('3', SimpleConvictionPolicy)
token_to_host_owner = {
MD5Token(0): host1,
MD5Token(100): host2,
MD5Token(200): host3
}
ring = [MD5Token(0), MD5Token(100), MD5Token(200)]
rf1_replicas = SimpleStrategy({'replication_factor': '1'}).make_token_replica_map(token_to_host_owner, ring)
self.assertItemsEqual(rf1_replicas[MD5Token(0)], [host1])
self.assertItemsEqual(rf1_replicas[MD5Token(100)], [host2])
self.assertItemsEqual(rf1_replicas[MD5Token(200)], [host3])
rf2_replicas = SimpleStrategy({'replication_factor': '2'}).make_token_replica_map(token_to_host_owner, ring)
self.assertItemsEqual(rf2_replicas[MD5Token(0)], [host1, host2])
self.assertItemsEqual(rf2_replicas[MD5Token(100)], [host2, host3])
self.assertItemsEqual(rf2_replicas[MD5Token(200)], [host3, host1])
rf3_replicas = SimpleStrategy({'replication_factor': '3'}).make_token_replica_map(token_to_host_owner, ring)
self.assertItemsEqual(rf3_replicas[MD5Token(0)], [host1, host2, host3])
self.assertItemsEqual(rf3_replicas[MD5Token(100)], [host2, host3, host1])
self.assertItemsEqual(rf3_replicas[MD5Token(200)], [host3, host1, host2])
def test_ss_equals(self):
self.assertNotEqual(SimpleStrategy({'replication_factor': '1'}), NetworkTopologyStrategy({'dc1': 2}))
class NameEscapingTest(unittest.TestCase):
def test_protect_name(self):
"""
Test cassandra.metadata.protect_name output
"""
self.assertEqual(protect_name('tests'), 'tests')
self.assertEqual(protect_name('test\'s'), '"test\'s"')
self.assertEqual(protect_name('test\'s'), "\"test's\"")
self.assertEqual(protect_name('tests ?!@#$%^&*()'), '"tests ?!@#$%^&*()"')
self.assertEqual(protect_name('1'), '"1"')
self.assertEqual(protect_name('1test'), '"1test"')
def test_protect_names(self):
"""
Test cassandra.metadata.protect_names output
"""
self.assertEqual(protect_names(['tests']), ['tests'])
self.assertEqual(protect_names(
[
'tests',
'test\'s',
'tests ?!@#$%^&*()',
'1'
]),
[
'tests',
"\"test's\"",
'"tests ?!@#$%^&*()"',
'"1"'
])
def test_protect_value(self):
"""
Test cassandra.metadata.protect_value output
"""
self.assertEqual(protect_value(True), "true")
self.assertEqual(protect_value(False), "false")
self.assertEqual(protect_value(3.14), '3.14')
self.assertEqual(protect_value(3), '3')
self.assertEqual(protect_value('test'), "'test'")
self.assertEqual(protect_value('test\'s'), "'test''s'")
self.assertEqual(protect_value(None), 'NULL')
def test_is_valid_name(self):
"""
Test cassandra.metadata.is_valid_name output
"""
self.assertEqual(is_valid_name(None), False)
self.assertEqual(is_valid_name('test'), True)
self.assertEqual(is_valid_name('Test'), False)
self.assertEqual(is_valid_name('t_____1'), True)
self.assertEqual(is_valid_name('test1'), True)
self.assertEqual(is_valid_name('1test1'), False)
invalid_keywords = cassandra.metadata.cql_keywords - cassandra.metadata.cql_keywords_unreserved
for keyword in invalid_keywords:
self.assertEqual(is_valid_name(keyword), False)
class GetReplicasTest(unittest.TestCase):
def _get_replicas(self, token_klass):
tokens = [token_klass(i) for i in range(0, (2 ** 127 - 1), 2 ** 125)]
hosts = [Host("ip%d" % i, SimpleConvictionPolicy) for i in range(len(tokens))]
token_to_primary_replica = dict(zip(tokens, hosts))
keyspace = KeyspaceMetadata("ks", True, "SimpleStrategy", {"replication_factor": "1"})
metadata = Mock(spec=Metadata, keyspaces={'ks': keyspace})
token_map = TokenMap(token_klass, token_to_primary_replica, tokens, metadata)
# tokens match node tokens exactly
for token, expected_host in zip(tokens, hosts):
replicas = token_map.get_replicas("ks", token)
self.assertEqual(set(replicas), {expected_host})
# shift the tokens back by one
for token, expected_host in zip(tokens, hosts):
replicas = token_map.get_replicas("ks", token_klass(token.value - 1))
self.assertEqual(set(replicas), {expected_host})
# shift the tokens forward by one
for i, token in enumerate(tokens):
replicas = token_map.get_replicas("ks", token_klass(token.value + 1))
expected_host = hosts[(i + 1) % len(hosts)]
self.assertEqual(set(replicas), {expected_host})
def test_murmur3_tokens(self):
self._get_replicas(Murmur3Token)
def test_md5_tokens(self):
self._get_replicas(MD5Token)
def test_bytes_tokens(self):
self._get_replicas(BytesToken)
class Murmur3TokensTest(unittest.TestCase):
def test_murmur3_init(self):
murmur3_token = Murmur3Token(cassandra.metadata.MIN_LONG - 1)
self.assertEqual(str(murmur3_token), '<Murmur3Token: -9223372036854775809>')
def test_python_vs_c(self):
from cassandra.murmur3 import _murmur3 as mm3_python
try:
from cassandra.cmurmur3 import murmur3 as mm3_c
iterations = 100
for _ in range(iterations):
for len in range(0, 32): # zero to one block plus full range of tail lengths
key = os.urandom(len)
self.assertEqual(mm3_python(key), mm3_c(key))
except ImportError:
raise unittest.SkipTest('The cmurmur3 extension is not available')
def test_murmur3_python(self):
from cassandra.murmur3 import _murmur3
self._verify_hash(_murmur3)
def test_murmur3_c(self):
try:
from cassandra.cmurmur3 import murmur3
self._verify_hash(murmur3)
except ImportError:
raise unittest.SkipTest('The cmurmur3 extension is not available')
def _verify_hash(self, fn):
self.assertEqual(fn(b'123'), -7468325962851647638)
self.assertEqual(fn(b'\x00\xff\x10\xfa\x99' * 10), 5837342703291459765)
self.assertEqual(fn(b'\xfe' * 8), -8927430733708461935)
self.assertEqual(fn(b'\x10' * 8), 1446172840243228796)
self.assertEqual(fn(str(cassandra.metadata.MAX_LONG).encode()), 7162290910810015547)
class MD5TokensTest(unittest.TestCase):
def test_md5_tokens(self):
md5_token = MD5Token(cassandra.metadata.MIN_LONG - 1)
self.assertEqual(md5_token.hash_fn('123'), 42767516990368493138776584305024125808)
self.assertEqual(md5_token.hash_fn(str(cassandra.metadata.MAX_LONG)), 28528976619278518853815276204542453639)
self.assertEqual(str(md5_token), '<MD5Token: %s>' % -9223372036854775809)
class BytesTokensTest(unittest.TestCase):
def test_bytes_tokens(self):
bytes_token = BytesToken(unhexlify(b'01'))
self.assertEqual(bytes_token.value, b'\x01')
self.assertEqual(str(bytes_token), "<BytesToken: %s>" % bytes_token.value)
self.assertEqual(bytes_token.hash_fn('123'), '123')
self.assertEqual(bytes_token.hash_fn(123), 123)
self.assertEqual(bytes_token.hash_fn(str(cassandra.metadata.MAX_LONG)), str(cassandra.metadata.MAX_LONG))
def test_from_string(self):
from_unicode = BytesToken.from_string('0123456789abcdef')
from_bin = BytesToken.from_string(b'0123456789abcdef')
self.assertEqual(from_unicode, from_bin)
self.assertIsInstance(from_unicode.value, bytes)
self.assertIsInstance(from_bin.value, bytes)
def test_comparison(self):
tok = BytesToken.from_string('0123456789abcdef')
token_high_order = uint16_unpack(tok.value[0:2])
self.assertLess(BytesToken(uint16_pack(token_high_order - 1)), tok)
self.assertGreater(BytesToken(uint16_pack(token_high_order + 1)), tok)
def test_comparison_unicode(self):
value = b'\'_-()"\xc2\xac'
t0 = BytesToken(value)
t1 = BytesToken.from_string('00')
self.assertGreater(t0, t1)
self.assertFalse(t0 < t1)
class KeyspaceMetadataTest(unittest.TestCase):
def test_export_as_string_user_types(self):
keyspace_name = 'test'
keyspace = KeyspaceMetadata(keyspace_name, True, 'SimpleStrategy', dict(replication_factor=3))
keyspace.user_types['a'] = UserType(keyspace_name, 'a', ['one', 'two'], ['c', 'int'])
keyspace.user_types['b'] = UserType(keyspace_name, 'b', ['one', 'two', 'three'], ['d', 'int', 'a'])
keyspace.user_types['c'] = UserType(keyspace_name, 'c', ['one'], ['int'])
keyspace.user_types['d'] = UserType(keyspace_name, 'd', ['one'], ['c'])
self.assertEqual("""CREATE KEYSPACE test WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '3'} AND durable_writes = true;
CREATE TYPE test.c (
one int
);
CREATE TYPE test.a (
one c,
two int
);
CREATE TYPE test.d (
one c
);
CREATE TYPE test.b (
one d,
two int,
three a
);""", keyspace.export_as_string())
class UserTypesTest(unittest.TestCase):
def test_as_cql_query(self):
field_types = ['varint', 'ascii', 'frozen<tuple<varint, ascii>>']
udt = UserType("ks1", "mytype", ["a", "b", "c"], field_types)
self.assertEqual("CREATE TYPE ks1.mytype (a varint, b ascii, c frozen<tuple<varint, ascii>>)", udt.as_cql_query(formatted=False))
self.assertEqual("""CREATE TYPE ks1.mytype (
a varint,
b ascii,
c frozen<tuple<varint, ascii>>
);""", udt.export_as_string())
def test_as_cql_query_name_escaping(self):
udt = UserType("MyKeyspace", "MyType", ["AbA", "keyspace"], ['ascii', 'ascii'])
self.assertEqual('CREATE TYPE "MyKeyspace"."MyType" ("AbA" ascii, "keyspace" ascii)', udt.as_cql_query(formatted=False))
class UserDefinedFunctionTest(unittest.TestCase):
def test_as_cql_query_removes_frozen(self):
func = Function(
"ks1", "myfunction", ["frozen<tuple<int, text>>"], ["a"],
"int", "java", "return 0;", True, False, False, False
)
expected_result = (
"CREATE FUNCTION ks1.myfunction(a tuple<int, text>) "
"CALLED ON NULL INPUT "
"RETURNS int "
"LANGUAGE java "
"AS $$return 0;$$"
)
self.assertEqual(expected_result, func.as_cql_query(formatted=False))
class UserDefinedAggregateTest(unittest.TestCase):
def test_as_cql_query_removes_frozen(self):
aggregate = Aggregate("ks1", "myaggregate", ["frozen<tuple<int>>"], "statefunc", "frozen<tuple<int>>", "finalfunc", "(0)", "tuple<int>", False)
expected_result = (
"CREATE AGGREGATE ks1.myaggregate(tuple<int>) "
"SFUNC statefunc "
"STYPE tuple<int> "
"FINALFUNC finalfunc "
"INITCOND (0)"
)
self.assertEqual(expected_result, aggregate.as_cql_query(formatted=False))
class IndexTest(unittest.TestCase):
def test_build_index_as_cql(self):
column_meta = Mock()
column_meta.name = 'column_name_here'
column_meta.table.name = 'table_name_here'
column_meta.table.keyspace_name = 'keyspace_name_here'
column_meta.table.columns = {column_meta.name: column_meta}
parser = get_schema_parser(Mock(), '2.1.0', None, 0.1)
row = {'index_name': 'index_name_here', 'index_type': 'index_type_here'}
index_meta = parser._build_index_metadata(column_meta, row)
self.assertEqual(index_meta.as_cql_query(),
'CREATE INDEX index_name_here ON keyspace_name_here.table_name_here (column_name_here)')
row['index_options'] = '{ "class_name": "class_name_here" }'
row['index_type'] = 'CUSTOM'
index_meta = parser._build_index_metadata(column_meta, row)
self.assertEqual(index_meta.as_cql_query(),
"CREATE CUSTOM INDEX index_name_here ON keyspace_name_here.table_name_here (column_name_here) USING 'class_name_here'")
class UnicodeIdentifiersTests(unittest.TestCase):
"""
Exercise cql generation with unicode characters. Keyspace, Table, and Index names
cannot have special chars because C* names files by those identifiers, but they are
tested anyway.
Looking for encoding errors like PYTHON-447
"""
name = b'\'_-()"\xc2\xac'.decode('utf-8')
def test_keyspace_name(self):
km = KeyspaceMetadata(self.name, False, 'SimpleStrategy', {'replication_factor': 1})
km.export_as_string()
def test_table_name(self):
tm = TableMetadata(self.name, self.name)
tm.export_as_string()
def test_column_name_single_partition(self):
tm = TableMetadata('ks', 'table')
cm = ColumnMetadata(tm, self.name, u'int')
tm.columns[cm.name] = cm
tm.partition_key.append(cm)
tm.export_as_string()
def test_column_name_single_partition_single_clustering(self):
tm = TableMetadata('ks', 'table')
cm = ColumnMetadata(tm, self.name, u'int')
tm.columns[cm.name] = cm
tm.partition_key.append(cm)
cm = ColumnMetadata(tm, self.name + 'x', u'int')
tm.columns[cm.name] = cm
tm.clustering_key.append(cm)
tm.export_as_string()
def test_column_name_multiple_partition(self):
tm = TableMetadata('ks', 'table')
cm = ColumnMetadata(tm, self.name, u'int')
tm.columns[cm.name] = cm
tm.partition_key.append(cm)
cm = ColumnMetadata(tm, self.name + 'x', u'int')
tm.columns[cm.name] = cm
tm.partition_key.append(cm)
tm.export_as_string()
def test_index(self):
im = IndexMetadata(self.name, self.name, self.name, kind='', index_options={'target': self.name})
log.debug(im.export_as_string())
im = IndexMetadata(self.name, self.name, self.name, kind='CUSTOM', index_options={'target': self.name, 'class_name': 'Class'})
log.debug(im.export_as_string())
# PYTHON-1008
im = IndexMetadata(self.name, self.name, self.name, kind='CUSTOM', index_options={'target': self.name, 'class_name': 'Class', 'delimiter': self.name})
log.debug(im.export_as_string())
def test_function(self):
fm = Function(keyspace=self.name, name=self.name,
argument_types=(u'int', u'int'),
argument_names=(u'x', u'y'),
return_type=u'int', language=u'language',
body=self.name, called_on_null_input=False,
deterministic=True,
monotonic=False, monotonic_on=(u'x',))
fm.export_as_string()
def test_aggregate(self):
am = Aggregate(self.name, self.name, (u'text',), self.name, u'text', self.name, self.name, u'text', True)
am.export_as_string()
def test_user_type(self):
um = UserType(self.name, self.name, [self.name, self.name], [u'int', u'text'])
um.export_as_string()
class FunctionToCQLTests(unittest.TestCase):
base_vars = {
'keyspace': 'ks_name',
'name': 'function_name',
'argument_types': (u'int', u'int'),
'argument_names': (u'x', u'y'),
'return_type': u'int',
'language': u'language',
'body': 'body',
'called_on_null_input': False,
'deterministic': True,
'monotonic': False,
'monotonic_on': ()
}
def _function_with_kwargs(self, **kwargs):
return Function(**dict(self.base_vars,
**kwargs)
)
def test_non_monotonic(self):
self.assertNotIn(
'MONOTONIC',
self._function_with_kwargs(
monotonic=False,
monotonic_on=()
).export_as_string()
)
def test_monotonic_all(self):
mono_function = self._function_with_kwargs(
monotonic=True,
monotonic_on=()
)
self.assertIn(
'MONOTONIC LANG',
mono_function.as_cql_query(formatted=False)
)
self.assertIn(
'MONOTONIC\n LANG',
mono_function.as_cql_query(formatted=True)
)
def test_monotonic_one(self):
mono_on_function = self._function_with_kwargs(
monotonic=False,
monotonic_on=('x',)
)
self.assertIn(
'MONOTONIC ON x LANG',
mono_on_function.as_cql_query(formatted=False)
)
self.assertIn(
'MONOTONIC ON x\n LANG',
mono_on_function.as_cql_query(formatted=True)
)
def test_nondeterministic(self):
self.assertNotIn(
'DETERMINISTIC',
self._function_with_kwargs(
deterministic=False
).as_cql_query(formatted=False)
)
def test_deterministic(self):
self.assertIn(
'DETERMINISTIC',
self._function_with_kwargs(
deterministic=True
).as_cql_query(formatted=False)
)
self.assertIn(
'DETERMINISTIC\n',
self._function_with_kwargs(
deterministic=True
).as_cql_query(formatted=True)
)
class AggregateToCQLTests(unittest.TestCase):
base_vars = {
'keyspace': 'ks_name',
'name': 'function_name',
'argument_types': (u'int', u'int'),
'state_func': 'funcname',
'state_type': u'int',
'return_type': u'int',
'final_func': None,
'initial_condition': '0',
'deterministic': True
}
def _aggregate_with_kwargs(self, **kwargs):
return Aggregate(**dict(self.base_vars,
**kwargs)
)
def test_nondeterministic(self):
self.assertNotIn(
'DETERMINISTIC',
self._aggregate_with_kwargs(
deterministic=False
).as_cql_query(formatted=True)
)
def test_deterministic(self):
for formatted in (True, False):
query = self._aggregate_with_kwargs(
deterministic=True
).as_cql_query(formatted=formatted)
self.assertTrue(query.endswith('DETERMINISTIC'),
msg="'DETERMINISTIC' not found in {}".format(query)
)
class HostsTests(unittest.TestCase):
def test_iterate_all_hosts_and_modify(self):
"""
PYTHON-572
"""
metadata = Metadata()
metadata.add_or_return_host(Host('dc1.1', SimpleConvictionPolicy))
metadata.add_or_return_host(Host('dc1.2', SimpleConvictionPolicy))
self.assertEqual(len(metadata.all_hosts()), 2)
for host in metadata.all_hosts(): # this would previously raise in Py3
metadata.remove_host(host)
self.assertEqual(len(metadata.all_hosts()), 0)
class MetadataHelpersTest(unittest.TestCase):
""" For any helper functions that need unit tests """
def test_strip_frozen(self):
self.longMessage = True
argument_to_expected_results = [
('int', 'int'),
('tuple<text>', 'tuple<text>'),
(r'map<"!@#$%^&*()[]\ frozen >>>", int>', r'map<"!@#$%^&*()[]\ frozen >>>", int>'), # A valid UDT name
('frozen<tuple<text>>', 'tuple<text>'),
(r'frozen<map<"!@#$%^&*()[]\ frozen >>>", int>>', r'map<"!@#$%^&*()[]\ frozen >>>", int>'),
('frozen<map<frozen<tuple<int, frozen<list<text>>, int>>, frozen<map<int, frozen<tuple<int>>>>>>',
'map<tuple<int, list<text>, int>, map<int, tuple<int>>>'),
]
for argument, expected_result in argument_to_expected_results:
result = strip_frozen(argument)
self.assertEqual(result, expected_result, "strip_frozen() arg: {}".format(argument))
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