One of the USING TIMEOUT tests relied on a specific TTL value, but that's fragile if the test runs on the boundary of 2 seconds. Instead, the test case simply checks if the TTL value is present and is greater than 0, which makes the test robust unless its execution lasts for more than 1 million seconds, which is highly unlikely. Fixes #8062 Closes #8063
162 lines
8.1 KiB
Python
162 lines
8.1 KiB
Python
# Copyright 2020 ScyllaDB
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#
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# This file is part of Scylla.
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#
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# Scylla is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Scylla is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with Scylla. If not, see <http://www.gnu.org/licenses/>.
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# Tests for USING TIMEOUT extension
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from util import new_test_keyspace, unique_name
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import pytest
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import random
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from cassandra.protocol import InvalidRequest, ReadTimeout, WriteTimeout
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from cassandra.util import Duration
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def r(regex):
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return re.compile(regex, re.IGNORECASE)
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@pytest.fixture(scope="session")
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def table1(cql, test_keyspace):
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table = test_keyspace + "." + unique_name()
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cql.execute("CREATE TABLE " + table +
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"(p bigint, c int, v int, PRIMARY KEY (p,c))")
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yield table
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cql.execute("DROP TABLE " + table)
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# Performing operations with a small enough timeout is guaranteed to fail
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def test_per_query_timeout_effective(scylla_only, cql, table1):
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table = table1
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key = random.randint(3, 2**60)
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with pytest.raises(ReadTimeout):
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cql.execute(f"SELECT * FROM {table} USING TIMEOUT 0ms")
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with pytest.raises(WriteTimeout):
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cql.execute(f"INSERT INTO {table} (p,c,v) VALUES ({key},1,1) USING TIMEOUT 0ms")
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with pytest.raises(WriteTimeout):
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cql.execute(f"UPDATE {table} USING TIMEOUT 0ms SET v = 5 WHERE p = {key} AND c = 1")
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# Performing operations with large enough timeout should succeed
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def test_per_query_timeout_large_enough(scylla_only, cql, table1):
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table = table1
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key = random.randint(3, 2**60)
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cql.execute(f"INSERT INTO {table} (p,c,v) VALUES ({key},1,1) USING TIMEOUT 60m")
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cql.execute(f"UPDATE {table} USING TIMEOUT 48h SET v = 5 WHERE p = {key} AND c = 1")
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res = list(cql.execute(f"SELECT * FROM {table} WHERE p IN (0,1,2,{key}) USING TIMEOUT 24h"))
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assert set(res) == set(cql.execute(f"SELECT * FROM {table} WHERE p IN (0,1,2,{key})"))
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# Preparing a statement with timeout should work - both by explicitly setting
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# the timeout and by using a marker.
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def test_prepared_statements(scylla_only, cql, table1):
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table = table1
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key = random.randint(3, 2**60)
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prep = cql.prepare(f"INSERT INTO {table} (p,c,v) VALUES ({key},6,7) USING TIMEOUT ?")
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with pytest.raises(WriteTimeout):
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cql.execute(prep, (Duration(nanoseconds=0),))
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cql.execute(prep, (Duration(nanoseconds=10**15),))
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key}"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (6, 7)
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prep = cql.prepare(f"SELECT * FROM {table} USING TIMEOUT ?");
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with pytest.raises(ReadTimeout):
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cql.execute(prep, (Duration(nanoseconds=0),))
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cql.execute(prep, (Duration(nanoseconds=10**15),))
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prep = cql.prepare(f"UPDATE {table} USING TIMEOUT ? AND TIMESTAMP ? SET v = ? WHERE p = {key} and c = 1")
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with pytest.raises(WriteTimeout):
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cql.execute(prep, (Duration(nanoseconds=0), 3, 42))
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cql.execute(prep, (Duration(nanoseconds=10**15), 3, 42))
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prep_named = cql.prepare(f"UPDATE {table} USING TIMEOUT :timeout AND TIMESTAMP :ts SET v = :v WHERE p = {key} and c = 1")
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# Timeout cannot be left unbound
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with pytest.raises(InvalidRequest):
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cql.execute(prep_named, {'timestamp': 42, 'v': 3})
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cql.execute(prep_named, {'timestamp': 42, 'v': 3, 'timeout': Duration(nanoseconds=10**15)})
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key} AND c = 1"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (1, 3)
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def test_batch(scylla_only, cql, table1):
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table = table1
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key = random.randint(3, 2**60)
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cql.execute(f"""BEGIN BATCH USING TIMEOUT 48h
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INSERT INTO {table} (p,c,v) VALUES ({key},7,8);
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INSERT INTO {table} (p,c,v) VALUES ({key+1},8,9);
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APPLY BATCH
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""")
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key} and c = 7"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (7, 8)
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key+1} and c = 8"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (8, 9)
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prep1 = cql.prepare(f"""BEGIN BATCH USING TIMEOUT ?
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INSERT INTO {table} (p,c,v) VALUES ({key},7,10);
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INSERT INTO {table} (p,c,v) VALUES ({key+1},8,11);
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APPLY BATCH
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""")
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prep2 = cql.prepare(f"""BEGIN BATCH USING TIMEOUT 48h
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INSERT INTO {table} (p,c,v) VALUES (?,7,2);
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INSERT INTO {table} (p,c,v) VALUES (?,?,14);
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APPLY BATCH
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""")
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prep_named = cql.prepare(f"""BEGIN BATCH USING TIMEOUT :timeout
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INSERT INTO {table} (p,c,v) VALUES (:key,7,8);
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INSERT INTO {table} (p,c,v) VALUES ({key+1},8,:nine);
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APPLY BATCH
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""")
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cql.execute(prep1, (Duration(nanoseconds=10**15),))
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key} and c = 7"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (7, 10)
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key+1} and c = 8"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (8, 11)
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cql.execute(prep2, (key, key+1, 8))
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key} and c = 7"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (7, 2)
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key+1} and c = 8"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (8, 14)
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cql.execute(prep_named, {'timeout': Duration(nanoseconds=10**15), 'key': key, 'nine': 9})
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key} and c = 7"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (7,8)
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result = list(cql.execute(f"SELECT * FROM {table} WHERE p = {key+1} and c = 8"))
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assert len(result) == 1 and (result[0].c, result[0].v) == (8, 9)
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with pytest.raises(WriteTimeout):
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cql.execute(prep1, (Duration(nanoseconds=0),))
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with pytest.raises(WriteTimeout):
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cql.execute(prep_named, {'timeout': Duration(nanoseconds=0), 'key': key, 'nine': 9})
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# Mixing TIMEOUT parameter with other params from the USING clause is legal
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def test_mix_per_query_timeout_with_other_params(scylla_only, cql, table1):
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table = table1
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key = random.randint(3, 2**60)
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cql.execute(f"INSERT INTO {table} (p,c,v) VALUES ({key},1,1) USING TIMEOUT 60m AND TTL 1000000 AND TIMESTAMP 321")
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cql.execute(f"INSERT INTO {table} (p,c,v) VALUES ({key},2,1) USING TIMESTAMP 42 AND TIMEOUT 30m")
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res = list(cql.execute(f"SELECT ttl(v), writetime(v) FROM {table} WHERE p = {key} and c = 1"))
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assert len(res) == 1 and res[0].ttl_v > 0 and res[0].writetime_v == 321
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res = list(cql.execute(f"SELECT ttl(v), writetime(v) FROM {table} WHERE p = {key} and c = 2"))
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assert len(res) == 1 and not res[0].ttl_v and res[0].writetime_v == 42
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# Only valid timeout durations are allowed to be specified
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def test_invalid_timeout(scylla_only, cql, table1):
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table = table1
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def invalid(stmt):
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with pytest.raises(InvalidRequest):
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cql.execute(stmt)
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invalid(f"SELECT * FROM {table} USING TIMEOUT 'hey'")
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invalid(f"SELECT * FROM {table} USING TIMEOUT 3mo")
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invalid(f"SELECT * FROM {table} USING TIMEOUT 40y")
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invalid(f"SELECT * FROM {table} USING TIMEOUT 917")
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invalid(f"SELECT * FROM {table} USING TIMEOUT null")
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# Scylla only supports ms granularity for timeouts
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invalid(f"SELECT * FROM {table} USING TIMEOUT 60s5ns")
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invalid(f"SELECT * FROM {table} USING TIMEOUT -10ms")
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# For select statements, it's not allowed to specify timestamp or ttl,
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# since they bear no meaning
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invalid(f"SELECT * FROM {table} USING TIMEOUT 60s AND TIMESTAMP 42")
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invalid(f"SELECT * FROM {table} USING TIMEOUT 60s AND TTL 10000")
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invalid(f"SELECT * FROM {table} USING TIMEOUT 60s AND TTL 123 AND TIMESTAMP 911")
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