class TestAggregateSecondUseCases():
def __init__(self):
self.env = Env()
add_values(self.env, 2)
def testSimpleAggregate(self):
res = self.env.cmd('ft.aggregate', 'games', '*')
self.env.assertIsNotNone(res)
self.env.assertEqual(len(res), 4531)
def testSimpleAggregateWithCursor(self):
res = self.env.cmd('ft.aggregate', 'games', '*', 'WITHCURSOR', 'COUNT', 1000)
self.env.assertTrue(res[1] != 0)
def testAofRewriteSortkeys():
env = Env(useAof=True)
env.cmd('FT.CREATE', 'idx', 'ON', 'HASH',
'SCHEMA', 'foo', 'TEXT', 'SORTABLE', 'bar', 'TAG')
env.cmd('FT.ADD', 'idx', '1', '1', 'FIELDS', 'foo', 'A', 'bar', '1')
env.cmd('FT.ADD', 'idx', '2', '1', 'fields', 'foo', 'B', 'bar', '1')
res_exp = env.cmd('FT.SEARCH', 'idx', '@bar:{1}', 'SORTBY', 'foo', 'ASC',
'RETURN', '1', 'foo', 'WITHSORTKEYS')
env.restart_and_reload()
res_got = env.cmd('FT.SEARCH', 'idx', '@bar:{1}', 'SORTBY', 'foo', 'ASC',
'RETURN', '1', 'foo', 'WITHSORTKEYS')
env.assertEqual(res_exp, res_got)
def testAofRewriteSortkeys():
env = Env(useAof=True)
env.cmd('FT.CREATE', 'idx', 'SCHEMA', 'foo',
'TEXT', 'SORTABLE', 'bar', 'TAG')
env.cmd('FT.ADD', 'idx', '1', '1', 'FIELDS', 'foo', 'A', 'bar', '1')
env.cmd('FT.ADD', 'idx', '2', '1', 'fields', 'foo', 'B', 'bar', '1')
res_exp = env.cmd('FT.SEARCH', 'idx', '@bar:{1}', 'SORTBY', 'foo', 'ASC',
'RETURN', '1', 'foo', 'WITHSORTKEYS')
env.restart_and_reload()
res_got = env.cmd('FT.SEARCH', 'idx', '@bar:{1}', 'SORTBY', 'foo', 'ASC',
'RETURN', '1', 'foo', 'WITHSORTKEYS')
env.assertEqual(res_exp, res_got)
def testDependenciesSavedToRDB():
env = Env(moduleArgs='CreateVenv 1')
conn = getConnectionByEnv(env)
env.expect('RG.PYEXECUTE', "import redisgraph", 'REQUIREMENTS',
'redisgraph').ok()
for _ in env.reloading_iterator():
res, err = env.cmd(
'RG.PYEXECUTE',
"GB('ShardsIDReader').flatmap(lambda x: execute('RG.PYDUMPREQS')).run()"
)
env.assertEqual(len(err), 0)
env.assertEqual(len(res), env.shardsCount)
for r in res:
env.assertContains("'IsDownloaded', 'yes', 'IsInstalled', 'yes'",
r)
def testRDBCompatibility():
# temp skip for out-of-index
env = Env(
moduleArgs=
'UPGRADE_INDEX idx; PREFIX 1 tt; LANGUAGE french; LANGUAGE_FIELD MyLang; SCORE 0.5; SCORE_FIELD MyScore; PAYLOAD_FIELD MyPayload; UPGRADE_INDEX idx1'
)
# env = Env(moduleArgs=['UPGRADE_INDEX idx', 'PREFIX 1 tt', 'LANGUAGE french', 'LANGUAGE_FIELD MyLang', 'SCORE 0.5', 'SCORE_FIELD MyScore', 'PAYLOAD_FIELD MyPayload', 'UPGRADE_INDEX idx1'])
# env = Env(moduleArgs=['UPGRADE_INDEX idx; PREFIX 1 tt; LANGUAGE french', 'LANGUAGE_FIELD MyLang', 'SCORE 0.5', 'SCORE_FIELD MyScore', 'PAYLOAD_FIELD MyPayload', 'UPGRADE_INDEX idx1'])
env.skipOnCluster()
dbFileName = env.cmd('config', 'get', 'dbfilename')[1]
dbDir = env.cmd('config', 'get', 'dir')[1]
rdbFilePath = os.path.join(dbDir, dbFileName)
if not downloadFiles():
if os.environ.get('CI'):
env.assertTrue(
False
) ## we could not download rdbs and we are running on CI, let fail the test
else:
env.skip()
return
for fileName in RDBS:
env.stop()
filePath = os.path.join(REDISEARCH_CACHE_DIR, fileName)
try:
os.unlink(rdbFilePath)
except OSError:
pass
os.symlink(filePath, rdbFilePath)
env.start()
waitForIndex(env, 'idx')
env.expect('FT.SEARCH idx * LIMIT 0 0').equal([1000])
env.expect('DBSIZE').equal(1000)
res = env.cmd('FT.INFO idx')
res = {res[i]: res[i + 1] for i in range(0, len(res), 2)}
env.assertEqual(res['index_definition'], [
'key_type', 'HASH', 'prefixes', ['tt'], 'default_language',
'french', 'language_field', 'MyLang', 'default_score', '0.5',
'score_field', 'MyScore', 'payload_field', 'MyPayload'
])
if fileName == 'redisearch_1.6.13_with_synonyms.rdb':
res = env.cmd('FT.SYNDUMP idx')
res = {res[i]: res[i + 1] for i in range(0, len(res), 2)}
env.assertEqual(res, {'term2': ['0'], 'term1': ['0']})
env.cmd('flushall')
env.assertTrue(env.checkExitCode())
def testDelReplicate():
env = Env(useSlaves=True, forceTcp=True)
env.skipOnCluster()
## on existing env we can not get a slave connection
## so we can no test it
if env.env == 'existing-env':
env.skip()
master = env.getConnection()
slave = env.getSlaveConnection()
env.assertTrue(master.execute_command("ping"))
env.assertTrue(slave.execute_command("ping"))
env.assertOk(
master.execute_command('ft.create', 'idx', 'ON', 'HASH', 'FILTER',
'startswith(@__key, "")', 'schema', 'f',
'text'))
env.cmd('set', 'indicator', '1')
checkSlaveSynced(env, slave, ('exists', 'indicator'), 1, time_out=20)
for i in range(10):
master.execute_command('ft.add', 'idx', 'doc%d' % i, 1.0, 'fields',
'f', 'hello world')
time.sleep(0.01)
checkSlaveSynced(env,
slave, ('ft.get', 'idx', 'doc9'), ['f', 'hello world'],
time_out=20)
for i in range(10):
# checking for insertion
env.assertEqual(['f', 'hello world'],
master.execute_command('ft.get', 'idx', 'doc%d' % i))
env.assertEqual(['f', 'hello world'],
slave.execute_command('ft.get', 'idx', 'doc%d' % i))
# deleting
env.assertEqual(1, master.execute_command('ft.del', 'idx',
'doc%d' % i))
checkSlaveSynced(env, slave, ('ft.get', 'idx', 'doc9'), None, time_out=20)
for i in range(10):
# checking for deletion
env.assertEqual(None,
master.execute_command('ft.get', 'idx', 'doc%d' % i))
env.assertEqual(None,
slave.execute_command('ft.get', 'idx', 'doc%d' % i))
def testExt():
# extentionPath = os.path.abspath(os.path.dirname(os.path.realpath(__file__)) + '/../tests/ext-example/example.so')
env = Env(moduleArgs='EXTLOAD %s' % EXTPATH)
N = 100
env.assertOk(env.execute_command('ft.create', 'idx', 'schema', 'f',
'text'))
for i in range(N):
env.assertOk(
env.execute_command('ft.add', 'idx', 'doc%d' % i, 1.0, 'fields',
'f', 'hello world'))
res = env.execute_command('ft.search', 'idx', 'hello world')
env.assertEqual(N, res[0])
res = env.execute_command('ft.search', 'idx', 'hello world', 'scorer',
'filterout_scorer')
env.assertEqual(0, res[0])
def testDependenciesWithRegister():
env = Env(moduleArgs='CreateVenv 1')
env.skipOnCluster()
env.expect(
'RG.PYEXECUTE', "GB()."
"map(lambda x: __import__('redisgraph'))."
"collect().distinct().register()", 'REQUIREMENTS', 'redisgraph').ok()
for _ in env.reloading_iterator():
res = env.cmd(
'RG.PYEXECUTE', "GB('ShardsIDReader')."
"map(lambda x: str(__import__('redisgraph')))."
"collect().distinct().run()")
env.assertEqual(len(res[0]), env.shardsCount)
env.assertEqual(len(res[1]), 0)
env.assertContains("<module 'redisgraph'", res[0][0])
def test_keyspace_rules_send():
sample_len = 1024
env = Env()
with env.getClusterConnectionIfNeeded() as r:
r.execute_command('config', 'set', 'notify-keyspace-events', 'KEA')
pubsub = r.pubsub()
pubsub.psubscribe('__key*')
time.sleep(1)
env.assertEqual('psubscribe', pubsub.get_message()['type'])
r.execute_command('TS.CREATE', 'tester_src{2}')
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.create')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_src{2}')
r.execute_command('TS.CREATE', 'tester_dest{2}')
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.create')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_dest{2}')
r.execute_command('TS.CREATERULE', 'tester_src{2}', 'tester_dest{2}', 'AGGREGATION', 'MAX', 1)
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.createrule:src')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_src{2}')
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.createrule:dest')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_dest{2}')
r.execute_command('ts.add', 'tester_src{2}', 100, 1.1)
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.add')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_src{2}')
r.execute_command('ts.add', 'tester_src{2}', 101, 1.1)
# First getting the event from the dest on the previous window
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.add:dest')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_dest{2}')
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.add')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_src{2}')
r.execute_command('ts.incrby', 'tester_src{2}', 3)
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.add:dest')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_dest{2}')
assert_msg(env, pubsub.get_message(), 'pmessage', b'ts.incrby')
assert_msg(env, pubsub.get_message(), 'pmessage', b'tester_src{2}')
def testRDBCompatibility():
env = Env()
env.skipOnCluster()
skip_on_rlec()
RDBS = os.listdir('rdbs')
# Current RDB version check
TSRANGE_RESULTS = {}
TSINFO_RESULTS = {}
KEYS = None
current_r = env.getConnection()
load_into_redis(current_r)
KEYS = current_r.keys()
KEYS.sort()
for key in KEYS:
TSRANGE_RESULTS[key] = current_r.execute_command(
'ts.range', key, "-", "+")
TSINFO_RESULTS[key] = normalize_info(
current_r.execute_command('ts.info', key))
# Compatibility check
for fileName in RDBS:
filePath = os.path.abspath(os.path.join("rdbs", fileName))
dbFileName = env.cmd('config', 'get', 'dbfilename')[1].decode('ascii')
dbDir = env.cmd('config', 'get', 'dir')[1].decode('ascii')
rdbFilePath = os.path.join(dbDir, dbFileName)
env.stop()
try:
os.remove(rdbFilePath)
except FileNotFoundError:
pass
os.symlink(filePath, rdbFilePath)
env.start()
r = env.getConnection()
OLD_KEYS = r.keys()
newDbFileName = r.execute_command('config', 'get',
'dbfilename')[1].decode('ascii')
env.assertEqual(newDbFileName, dbFileName)
OLD_KEYS.sort()
env.assertEqual(OLD_KEYS, KEYS)
for key in OLD_KEYS:
assert r.execute_command('ts.range', key, "-",
"+") == TSRANGE_RESULTS[key]
assert normalize_info(r.execute_command(
'ts.info', key)) == TSINFO_RESULTS[key]
def test_backfill_downsampling(self):
env = Env()
with env.getClusterConnectionIfNeeded() as r:
key = 'tester{a}'
type_list = ['', 'uncompressed']
for chunk_type in type_list:
agg_list = ['sum', 'min', 'max', 'count', 'first', 'last'] # more
for agg in agg_list:
agg_key = _insert_agg_data(
r,
key,
agg,
chunk_type,
key_create_args=['DUPLICATE_POLICY', 'LAST'])
expected_result = r.execute_command('TS.RANGE', key, 10, 50,
'aggregation', agg, 10)
actual_result = r.execute_command('TS.RANGE', agg_key, 10, 50)
assert expected_result == actual_result
assert r.execute_command('TS.ADD', key, 15, 50) == 15
expected_result = r.execute_command('TS.RANGE', key, 10, 50,
'aggregation', agg, 10)
actual_result = r.execute_command('TS.RANGE', agg_key, 10, 50)
assert expected_result == actual_result
# add in latest window
r.execute_command('TS.ADD', key, 1055, 50) == 1055
r.execute_command('TS.ADD', key, 1053, 55) == 1053
r.execute_command('TS.ADD', key, 1062, 60) == 1062
expected_result = r.execute_command('TS.RANGE', key, 10, 1060,
'aggregation', agg, 10)
actual_result = r.execute_command('TS.RANGE', agg_key, 10,
1060)
assert expected_result == actual_result
# update in latest window
r.execute_command('TS.ADD', key, 1065, 65) == 1065
r.execute_command('TS.ADD', key, 1066, 66) == 1066
r.execute_command('TS.ADD', key, 1001, 42) == 1001
r.execute_command('TS.ADD', key, 1075, 50) == 1075
expected_result = r.execute_command('TS.RANGE', key, 10, 1070,
'aggregation', agg, 10)
actual_result = r.execute_command('TS.RANGE', agg_key, 10,
1070)
env.assertEqual(expected_result, actual_result)
r.execute_command('DEL', key)
r.execute_command('DEL', agg_key)
def testDependenciesReplicatedToSlave():
env = Env(useSlaves=True, env='oss', moduleArgs='CreateVenv 1')
if env.envRunner.debugger is not None:
env.skip() # valgrind is not working correctly with replication
env.expect('RG.PYEXECUTE', "import redisgraph", 'REQUIREMENTS', 'redisgraph').ok()
slaveConn = env.getSlaveConnection()
try:
with TimeLimit(5):
res = []
while len(res) < 1:
res = slaveConn.execute_command('RG.PYDUMPREQS')
env.assertEqual(len(res), 1)
env.assertEqual(res[0][5], 'yes')
env.assertEqual(res[0][7], 'yes')
except Exception:
env.assertTrue(False, message='Failed waiting for requirement to reach slave')
def testRewriteAofSortables():
env = Env(useAof=True)
env.cmd('FT.CREATE', 'idx', 'schema', 'field1', 'TEXT', 'SORTABLE', 'num1',
'NUMERIC', 'SORTABLE')
env.cmd('FT.ADD', 'idx', 'doc', 1.0, 'FIELDS', 'field1', 'Hello World')
env.restart_and_reload()
env.broadcast('SAVE')
# Load some documents
for x in xrange(100):
env.cmd('FT.ADD', 'idx', 'doc{}'.format(x), 1.0, 'FIELDS', 'field1',
'txt{}'.format(random.random()), 'num1', random.random())
for sspec in [('field1', 'asc'), ('num1', 'desc')]:
cmd = ['FT.SEARCH', 'idx', 'txt', 'SORTBY', sspec[0], sspec[1]]
res = env.cmd(*cmd)
env.restart_and_reload()
res2 = env.cmd(*cmd)
env.assertEqual(res, res2)
def test_sdadel():
env = Env()
env.cmd('rdict.sdset', 'myDict', '0.5', '1')
env.cmd('rdict.sdset', 'myDict_2', '1', '2')
env.cmd('rdict.sdset', 'myDict_3', '3', '4')
env.assertEqual(
sorted(env.expect('keys', '*').res),
sorted([
'{myDict}_sd1', '{myDict}_sd2', '{myDict_2}_sd1', '{myDict_2}_sd2',
'{myDict_3}_sd1', '{myDict_3}_sd2'
]), 1)
env.expect('rdict.sdadel', 'myDict_4', 'myDict_2').equal(1)
env.assertEqual(
sorted(env.expect('keys', '*').res),
sorted([
'{myDict}_sd1', '{myDict}_sd2', '{myDict_3}_sd1', '{myDict_3}_sd2'
]), 1)
env.expect('rdict.sdadel', 'myDict', 'myDict_3').equal(2)
env.expect('keys', '*').equal([])
def testRewriteAofSortables():
env = Env(useAof=True)
env.cmd('FT.CREATE', 'idx', 'schema', 'field1', 'TEXT',
'SORTABLE', 'num1', 'NUMERIC', 'SORTABLE')
env.cmd('FT.ADD', 'idx', 'doc', 1.0,
'FIELDS', 'field1', 'Hello World')
env.restart_and_reload()
env.broadcast('SAVE')
# Load some documents
for x in xrange(100):
env.cmd('FT.ADD', 'idx', 'doc{}'.format(x), 1.0, 'FIELDS',
'field1', 'txt{}'.format(random.random()),
'num1', random.random())
for sspec in [('field1', 'asc'), ('num1', 'desc')]:
cmd = ['FT.SEARCH', 'idx', 'txt', 'SORTBY', sspec[0], sspec[1]]
res = env.cmd(*cmd)
env.restart_and_reload()
res2 = env.cmd(*cmd)
env.assertEqual(res, res2)
def testDependenciesBasicExportImport():
env = Env(moduleArgs='CreateVenv 1')
conn = getConnectionByEnv(env)
#disable rdb save
res, err = env.cmd(
'RG.PYEXECUTE',
"GB('ShardsIDReader').foreach(lambda x: execute('config', 'set', 'save', '')).run()"
)
env.expect('RG.PYEXECUTE', "import redisgraph", 'REQUIREMENTS',
'redisgraph').ok()
md, data = env.cmd('RG.PYEXPORTREQ', 'redisgraph')
env.assertEqual(md[5], 'yes')
env.assertEqual(md[7], 'yes')
env.stop()
env.start()
conn = getConnectionByEnv(env)
env.expect('RG.PYDUMPREQS').equal([])
env.expect('RG.PYIMPORTREQ', *data).equal('OK')
res, err = env.cmd(
'RG.PYEXECUTE',
"GB('ShardsIDReader').flatmap(lambda x: execute('RG.PYDUMPREQS')).run()"
)
env.assertEqual(len(err), 0)
env.assertEqual(len(res), env.shardsCount)
for r in res:
env.assertContains("'IsDownloaded', 'yes', 'IsInstalled', 'yes'", r)
def testDocTable():
env = Env(moduleArgs='MAXDOCTABLESIZE 100')
env.assertOk(
env.execute_command('ft.create', 'idx', 'ON', 'HASH', 'schema',
'title', 'text', 'body', 'text'))
# doc table size is 100 so insearting 1000 docs should gives us 10 docs in each bucket
for i in range(1000):
env.assertOk(
env.execute_command('ft.add', 'idx', 'doc%d' % i, 1.0, 'fields',
'title', 'hello world %d' % (i % 100), 'body',
'lorem ist ipsum'))
for i in range(100):
res = env.execute_command('ft.search', 'idx', 'hello world %d' % i)
env.assertEqual(res[0], 10)
# deleting the first 100 docs
for i in range(100):
env.assertEqual(env.execute_command('ft.del', 'idx', 'doc%d' % i), 1)
for i in range(100):
res = env.execute_command('ft.search', 'idx', 'hello world %d' % i)
env.assertEqual(res[0], 9)
env.assertOk(env.execute_command('ft.drop', 'idx'))
def test_parallelism():
env = Env(moduleArgs='INTRA_OP_PARALLELISM 1 INTER_OP_PARALLELISM 1')
if not TEST_PT:
env.debugPrint("skipping {} since TEST_PT=0".format(sys._getframe().f_code.co_name), force=True)
return
con = env.getConnection()
model_pb = load_file_content('pt-minimal.pt')
ret = con.execute_command('AI.TENSORSET', 'a{1}', 'FLOAT', 2, 2, 'VALUES', 2, 3, 2, 3)
ret = con.execute_command('AI.TENSORSET', 'b{1}', 'FLOAT', 2, 2, 'VALUES', 2, 3, 2, 3)
ret = con.execute_command('AI.MODELSTORE', 'm{1}', 'TORCH', DEVICE, 'BLOB', model_pb)
ensureSlaveSynced(con, env)
con.execute_command('AI.MODELEXECUTE', 'm{1}', 'INPUTS', 2, 'a{1}', 'b{1}', 'OUTPUTS', 1, 'c{1}')
ensureSlaveSynced(con, env)
values = con.execute_command('AI.TENSORGET', 'c{1}', 'VALUES')
env.assertEqual(values, [b'4', b'6', b'4', b'6'])
load_time_config = {k.split(":")[0]: k.split(":")[1]
for k in con.execute_command("INFO MODULES").decode().split("#")[3].split()[1:]}
env.assertEqual(load_time_config["ai_inter_op_parallelism"], "1")
env.assertEqual(load_time_config["ai_intra_op_parallelism"], "1")
env = Env(moduleArgs='INTRA_OP_PARALLELISM 2 INTER_OP_PARALLELISM 2')
load_time_config = {k.split(":")[0]: k.split(":")[1]
for k in con.execute_command("INFO MODULES").decode().split("#")[3].split()[1:]}
env.assertEqual(load_time_config["ai_inter_op_parallelism"], "2")
env.assertEqual(load_time_config["ai_intra_op_parallelism"], "2")
def testDelReplicate():
env = Env(useSlaves=True, forceTcp=True)
env.skipOnCluster()
master = env.getConnection()
slave = env.getSlaveConnection()
env.assertContains("PONG", master.execute_command("ping"))
env.assertContains("PONG", slave.execute_command("ping"))
env.assertOk(
master.execute_command('ft.create', 'idx', 'schema', 'f', 'text'))
checkSlaveSynced(env, slave, ('exists', 'idx:idx'), 1, time_out=20)
for i in range(10):
master.execute_command('ft.add', 'idx', 'doc%d' % i, 1.0, 'fields',
'f', 'hello world')
checkSlaveSynced(env,
slave, ('ft.get', 'idx', 'doc9'), ['f', 'hello world'],
time_out=20)
for i in range(10):
# checking for insertion
env.assertEqual(['f', 'hello world'],
master.execute_command('ft.get', 'idx', 'doc%d' % i))
env.assertEqual(['f', 'hello world'],
slave.execute_command('ft.get', 'idx', 'doc%d' % i))
# deleting
env.assertEqual(
1, master.execute_command('ft.del', 'idx', 'doc%d' % i, 'DD'))
checkSlaveSynced(env, slave, ('ft.get', 'idx', 'doc9'), None, time_out=20)
for i in range(10):
# checking for deletion
env.assertEqual(None,
master.execute_command('ft.get', 'idx', 'doc%d' % i))
env.assertEqual(None,
slave.execute_command('ft.get', 'idx', 'doc%d' % i))
class testExample():
'''
run all tests on a single env without taking
env down between tests
'''
def __init__(self):
self.env = Env()
def setUp(self):
self.env.debugPrint('setUp', True)
self.env.cmd('set', 'foo', 'bar')
def tearDown(self):
self.env.debugPrint('tearDown', True)
self.env.expect('get', 'foo').equal('bar')
self.env.cmd('flushall')
def testExample(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
def testExample1(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
self.env.assertFalse(True) # check failure
def testExample2(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
def test_madd_some_failed_replicas():
if not Env().useSlaves:
Env().skip()
# getSlaveConnection is not supported in cluster mode
Env().skipOnCluster()
env = Env(decodeResponses=False)
with env.getClusterConnectionIfNeeded() as r:
r.execute_command("ts.create", "test_key1", "DUPLICATE_POLICY",
"block")
r.execute_command("ts.madd", "test_key1", 123, 11, "test_key1", 124,
12)
r.execute_command("ts.madd", "test_key1", 122, 11, "test_key1", 123,
11, "test_key1", 124, 12, "test_key1", 125, 12)
r.execute_command("wait", 1, 0)
env.assertEqual(
r.execute_command("ts.range", "test_key1", "-", "+"),
[[122, b'11'], [123, b'11'], [124, b'12'], [125, b'12']])
with env.getSlaveConnection() as r:
env.assertEqual(
r.execute_command("ts.range", "test_key1", "-", "+"),
[[122, b'11'], [123, b'11'], [124, b'12'], [125, b'12']])
if env.useAof and isinstance(env.envRunner, StandardEnv):
cmds = aof_parser.parse_file(
os.path.join(env.envRunner.dbDirPath,
env.envRunner._getFileName('master', '.aof')))
cmds = filter(lambda c: c[0].lower().startswith('ts.'), cmds)
env.assertEqual(
list(cmds),
[['ts.create', 'test_key1', 'DUPLICATE_POLICY', 'block'],
['TS.MADD', 'test_key1', '123', '11', 'test_key1', '124', '12'],
['TS.MADD', 'test_key1', '122', '11', 'test_key1', '125', '12']])
def testExt():
if not os.path.exists(EXTPATH):
raise Exception(
"Path ({}) does not exist. "
"Run from the build directory or set EXT_TEST_PATH in the environment"
.format(EXTPATH))
# extentionPath = os.path.abspath(os.path.dirname(os.path.realpath(__file__)) + '/../tests/ext-example/example.so')
env = Env(moduleArgs='EXTLOAD %s' % EXTPATH)
N = 100
env.assertOk(env.execute_command('ft.create', 'idx', 'schema', 'f',
'text'))
for i in range(N):
env.assertOk(
env.execute_command('ft.add', 'idx', 'doc%d' % i, 1.0, 'fields',
'f', 'hello world'))
res = env.execute_command('ft.search', 'idx', 'hello world')
env.assertEqual(N, res[0])
res = env.execute_command('ft.search', 'idx', 'hello world', 'scorer',
'filterout_scorer')
env.assertEqual(0, res[0])
class test_prev_rdb_decode(FlowTestsBase):
def __init__(self):
self.env = Env(decodeResponses=True)
global redis_con
redis_con = self.env.getConnection()
def tearDown(self):
self.env.flush()
def test_v6_decode(self):
graph_name = "v6_rdb_restore"
# dump created with the following query (v6 supported property value: integer, double, boolean, string, null, array)
# graph.query g "CREATE (:L1 {val:1, strval: 'str', numval: 5.5, nullval: NULL, boolval: true, array: [1,2,3]})-[:E{val:2}]->(:L2{val:3})"
# graph.query g "CREATE INDEX ON :L1(val)"
# dump g
v6_rdb = b"\a\x81\x82\xb6\xa9\x85\xd6\xadh\x06\x05\x02g\x00\x02\x06\x05\x04val\x00\x05\astrval\x00\x05\anumval\x00\x05\bnullval\x00\x05\bboolval\x00\x05\x06array\x00\x02\x02\x02\x00\x05\x03L1\x00\x02\x01\x02\x00\x05\x04val\x00\x02\x01\x05\x03L2\x00\x02\x00\x02\x01\x02\x00\x05\x02E\x00\x02\x00\x02\x02\x02\x01\x02\x00\x02\x06\x05\x04val\x00\x02`\x00\x02\x01\x05\astrval\x00\x02H\x00\x05\x04str\x00\x05\anumval\x00\x02\x80\x00\x00@\x00\x04\x00\x00\x00\x00\x00\x00\x16@\x05\bnullval\x00\x02\x80\x00\x00\x80\x00\x05\bboolval\x00\x02P\x00\x02\x01\x05\x06array\x00\x02\b\x02\x03\x02`\x00\x02\x01\x02`\x00\x02\x02\x02`\x00\x02\x03\x02\x01\x02\x01\x02\x01\x05\x04val\x00\x02`\x00\x02\x03\x02\x01\x02\x00\x02\x01\x02\x00\x02\x01\x05\x04val\x00\x02`\x00\x02\x02\x00\t\x00\xd9\r\xb4c\xf2Z\xd9\xb3"
redis_con.restore(graph_name, 0, v6_rdb, True)
redis_graph = Graph(graph_name, redis_con)
node0 = Node(node_id=0,
label='L1',
properties={
'val': 1,
'strval': 'str',
'numval': 5.5,
'boolval': True,
'array': [1, 2, 3]
})
node1 = Node(node_id=1, label='L2', properties={'val': 3})
edge01 = Edge(src_node=0,
relation='E',
dest_node=1,
edge_id=0,
properties={'val': 2})
results = redis_graph.query("MATCH (n)-[e]->(m) RETURN n, e, m")
self.env.assertEqual(results.result_set, [[node0, edge01, node1]])
plan = redis_graph.execution_plan("MATCH (n:L1 {val:1}) RETURN n")
self.env.assertIn("Index Scan", plan)
results = redis_graph.query("MATCH (n:L1 {val:1}) RETURN n")
self.env.assertEqual(results.result_set, [[node0]])
def testAofRewriteTags():
env = Env(useAof=True)
env.cmd('FT.CREATE', 'idx', 'SCHEMA', 'foo',
'TEXT', 'SORTABLE', 'bar', 'TAG')
env.cmd('FT.ADD', 'idx', '1', '1', 'FIELDS', 'foo', 'A', 'bar', '1')
env.cmd('FT.ADD', 'idx', '2', '1', 'fields', 'foo', 'B', 'bar', '1')
info_a = to_dict(env.cmd('FT.INFO', 'idx'))
env.restart_and_reload()
info_b = to_dict(env.cmd('FT.INFO', 'idx'))
env.assertEqual(info_a['fields'], info_b['fields'])
# Try to drop the schema
env.cmd('FT.DROP', 'idx')
# Try to create it again - should work!
env.cmd('FT.CREATE', 'idx', 'SCHEMA', 'foo',
'TEXT', 'SORTABLE', 'bar', 'TAG')
env.cmd('FT.ADD', 'idx', '1', '1', 'FIELDS', 'foo', 'A', 'bar', '1')
env.cmd('FT.ADD', 'idx', '2', '1', 'fields', 'foo', 'B', 'bar', '1')
res = env.cmd('FT.SEARCH', 'idx', '@bar:{1}', 'SORTBY', 'foo', 'ASC',
'RETURN', '1', 'foo', 'WITHSORTKEYS')
env.assertEqual([2L, '1', '$a', ['foo', 'A'],
'2', '$b', ['foo', 'B']], res)
def testAof(env):
env = Env(moduleArgs='CreateVenv 1', useAof=True)
conn = getConnectionByEnv(env)
env.expect('RG.PYEXECUTE', "import redisgraph", 'REQUIREMENTS', 'redisgraph').ok()
res, err = env.cmd('RG.PYEXECUTE', "GB('ShardsIDReader').flatmap(lambda x: execute('RG.PYDUMPREQS')).run()")
env.assertEqual(len(err), 0)
env.assertEqual(len(res), env.shardsCount)
for r in res:
env.assertContains("'IsDownloaded', 'yes', 'IsInstalled', 'yes'", r)
env.broadcast('debug', 'loadaof')
res, err = env.cmd('RG.PYEXECUTE', "GB('ShardsIDReader').flatmap(lambda x: execute('RG.PYDUMPREQS')).run()")
env.assertEqual(len(err), 0)
env.assertEqual(len(res), env.shardsCount)
for r in res:
env.assertContains("'IsDownloaded', 'yes', 'IsInstalled', 'yes'", r)
class TestIGet():
def __init__(self):
self.env = Env()
def test_iget_should_return_error_when_missing_key(self):
self.env.cmd('FLUSHALL')
self.env.expect('iget').error()
def test_iget_should_return_error_when_missing_parameters(self):
self.env.cmd('FLUSHALL')
self.env.expect('iget', 'intervals').error()
def test_iget_should_return_empty_when_member_not_exists(self):
self.env.cmd('FLUSHALL')
self.env.expect('iget', 'intervals', 'i1').equal([])
def test_iget_should_return_i1(self):
self.env.cmd('FLUSHALL')
self.env.cmd('iadd', 'intervals', '0,1', 'i1')
res = self.env.cmd('iget', 'intervals', 'i1')
self.env.assertEqual(len(res), 1)
self.env.assertContains([b'i1', b'1', b'0', b'1', b'1'], res)
def test_iget_should_return_i2(self):
self.env.cmd('FLUSHALL')
self.env.cmd('iadd', 'intervals', '0,1', 'i1')
self.env.cmd('iadd', 'intervals', '2,3', 'i2')
res = self.env.cmd('iget', 'intervals', 'i2')
self.env.assertEqual(len(res), 1)
self.env.assertContains([b'i2', b'1', b'2', b'1', b'3'], res)
def test_iget_should_return_i1_and_i2(self):
self.env.cmd('FLUSHALL')
self.env.cmd('iadd', 'intervals', '0,1', 'i1')
self.env.cmd('iadd', 'intervals', '2,3', 'i2')
res = self.env.cmd('iget', 'intervals', 'i1', 'i2')
self.env.assertEqual(len(res), 2)
self.env.assertContains([b'i1', b'1', b'0', b'1', b'1'], res)
self.env.assertContains([b'i2', b'1', b'2', b'1', b'3'], res)
def test_iget_should_return_only_existing_member(self):
self.env.cmd('FLUSHALL')
self.env.cmd('iadd', 'intervals', '0,1', 'i1')
self.env.cmd('iadd', 'intervals', '2,3', 'i2')
self.env.expect('iget', 'intervals', 'i1', 'i3').equal([[b'i1', b'1', b'0', b'1', b'1']])
def test_iget_should_return_empty_because_no_members_exists(self):
self.env.cmd('FLUSHALL')
self.env.cmd('iadd', 'intervals', '0,1', 'i1')
self.env.cmd('iadd', 'intervals', '2,3', 'i2')
self.env.expect('iget', 'intervals', 'i3', 'i4').equal([])
def test_parallelism():
env = Env(moduleArgs='INTRA_OP_PARALLELISM 1 INTER_OP_PARALLELISM 1')
if not TEST_ONNX:
env.debugPrint("skipping {} since TEST_ONNX=0".format(
sys._getframe().f_code.co_name),
force=True)
return
con = env.getConnection()
model_pb = load_file_content('mnist.onnx')
sample_raw = load_file_content('one.raw')
ret = con.execute_command('AI.MODELSTORE', 'm{1}', 'ONNX', DEVICE, 'BLOB',
model_pb)
env.assertEqual(ret, b'OK')
con.execute_command('AI.TENSORSET', 'a{1}', 'FLOAT', 1, 1, 28, 28, 'BLOB',
sample_raw)
con.execute_command('AI.MODELEXECUTE', 'm{1}', 'INPUTS', 1, 'a{1}',
'OUTPUTS', 1, 'b{1}')
ensureSlaveSynced(con, env)
values = con.execute_command('AI.TENSORGET', 'b{1}', 'VALUES')
argmax = max(range(len(values)), key=lambda i: values[i])
env.assertEqual(argmax, 1)
load_time_config = {
k.split(":")[0]: k.split(":")[1]
for k in con.execute_command("INFO MODULES").decode().split("#")
[3].split()[1:]
}
env.assertEqual(load_time_config["ai_inter_op_parallelism"], "1")
env.assertEqual(load_time_config["ai_intra_op_parallelism"], "1")
env = Env(moduleArgs='INTRA_OP_PARALLELISM 2 INTER_OP_PARALLELISM 2')
load_time_config = {
k.split(":")[0]: k.split(":")[1]
for k in con.execute_command("INFO MODULES").decode().split("#")
[3].split()[1:]
}
env.assertEqual(load_time_config["ai_inter_op_parallelism"], "2")
env.assertEqual(load_time_config["ai_intra_op_parallelism"], "2")
class FlowTestsBase(object):
def __init__(self):
self.env = Env()
redis_con = self.env.getConnection()
redis_con.execute_command("FLUSHALL")
def _assert_equalish(self, a, b, e=0.05):
delta = a * e
diff = abs(a - b)
if diff > delta:
warnings.warn('runtimes differ by more than \"%f\" percent' % e)
def _assert_only_expected_results_are_in_actual_results(
self, actual_result, query_info):
actual_result_set = []
if actual_result.result_set is not None:
actual_result_set = actual_result.result_set
# Assert number of results.
self.env.assertEqual(len(actual_result_set),
len(query_info.expected_result))
# Assert actual values vs expected values.
for res in query_info.expected_result:
self.env.assertIn(res, actual_result_set)
def _assert_actual_results_contained_in_expected_results(
self, actual_result, query_info, num_contained_results):
actual_result_set = actual_result.result_set
# Assert num results.
self.env.assertEqual(len(actual_result_set), num_contained_results)
# Assert actual values vs expected values.
expected_result = query_info.expected_result
count = len(
[res for res in expected_result if res in actual_result_set])
# Assert number of different results is as expected.
self.env.assertEqual(count, num_contained_results)
def _assert_run_time(self, actual_result, query_info):
if actual_result.run_time_ms > query_info.max_run_time_ms:
warnings.warn(
'Maximum runtime for query \"%s\" was: %s, but should be %s' %
(query_info.description, str(actual_result.run_time_ms),
str(query_info.max_run_time_ms)))
def test_ts_del_multi_chunk():
for CHUNK_TYPE in ["compressed","uncompressed"]:
sample_len = 1
e = Env()
with e.getClusterConnectionIfNeeded() as r:
r.execute_command("ts.create", 'test_key', CHUNK_TYPE)
while(_get_ts_info(r, 'test_key').chunk_count<2):
assert sample_len == r.execute_command("ts.add", 'test_key', sample_len, '1')
sample_len = sample_len + 1
sample_len = sample_len -1
res = r.execute_command('ts.range', 'test_key', 0, sample_len - 1)
i = 1
for sample in res:
e.assertEqual(sample, [i, '1'.encode('ascii')])
i += 1
assert sample_len - 1 == r.execute_command('ts.del', 'test_key', 0, sample_len - 1)
res = r.execute_command('ts.range', 'test_key', 0, sample_len)
e.assertEqual(_get_ts_info(r, 'test_key').chunk_count,1)
e.assertEqual(len(res), 1)
e.flush()
def testAbortExecution():
env = Env(moduleArgs='executionThreads 1')
env.skipOnCluster()
infinitScript = '''
def InfinitLoop(r):
import time
while True:
time.sleep(0.1)
return r
GB().map(InfinitLoop).run()
'''
env.cmd('set', 'x', '1')
executionId1 = env.cmd('rg.pyexecute', infinitScript, 'unblocking')
executionId2 = env.cmd('rg.pyexecute', infinitScript, 'unblocking')
try:
with TimeLimit(2):
status = None
while status != 'running':
status = env.cmd('RG.GETEXECUTION', executionId1)[0][3][1]
time.sleep(0.1)
except Exception as e:
env.assertTrue(False,
message='Could not wait for execution to start running')
status2 = env.cmd('RG.GETEXECUTION', executionId2)[0][3][1]
env.assertEqual(status2, 'created')
env.expect('rg.abortexecution', executionId2).ok()
res = env.cmd('RG.GETEXECUTION', executionId2)
env.assertEqual(res[0][3][1], 'aborted')
env.expect('rg.abortexecution', executionId1).ok()
res = env.cmd('RG.GETEXECUTION', executionId1)
env.assertEqual(res[0][3][1], 'done')
env.assertEqual(len(res[0][3][9]), 1) # number if error is one
env.expect('rg.dropexecution', executionId1).ok()
env.expect('rg.dropexecution', executionId2).ok()
class testPagerankFlow(FlowTestsBase):
def __init__(self):
self.env = Env()
global redis_graph
redis_con = self.env.getConnection()
redis_graph = Graph(GRAPH_ID, redis_con)
def test_pagerank(self):
# Pagerank considers only nodes of given label and
# relation of given relationship type
# multiple edges between two nodes are considered as a single connection.
queries = [
# Single Label, single connection.
"CREATE (a:L {v:1})-[:R]->(b:L {v:2})",
# Single Label, multi connection.
"CREATE (a:L {v:1})-[:R]->(b:L {v:2}), (a)-[:R]->(b)",
# Multi Label, single connection.
"CREATE (a:L {v:1})-[:R]->(b:L {v:2}), (:X)-[:R]->(:X)",
# Multi Label, multi connection.
"CREATE (a:L {v:1})-[:R]->(b:L {v:2}), (a)-[:R]->(b), (:X)-[:R]->(:X)"
]
for q in queries:
self.env.cmd('flushall')
redis_graph.query(q)
q = """CALL algo.pageRank('L', 'R') YIELD node, score RETURN node.v, score"""
resultset = redis_graph.query(q).result_set
# 2) 1) 1) (integer) 2
# 2) "0.777813196182251"
# 2) 1) (integer) 1
# 2) "0.22218681871891"
self.env.assertEqual(len(resultset), 2)
self.env.assertEqual(resultset[0][0], 2)
self.env.assertAlmostEqual(resultset[0][1], 0.777813196182251,
0.0001)
self.env.assertEqual(resultset[1][0], 1)
self.env.assertAlmostEqual(resultset[1][1], 0.22218681871891,
0.0001)
class testExample():
'''
run all tests on a single env without taking
env down between tests
'''
def __init__(self):
self.env = Env()
def testExample(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
def testExample1(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
self.env.assertFalse(True) # check failure
def testExample2(self):
con = self.env.getConnection()
con.set('x', 1)
self.env.assertEqual(con.get('x'), '1')
class testGetExecution:
def __init__(self):
self.env = Env()
conn = getConnectionByEnv(self.env)
conn.execute_command('SET', 'k1', 'spark')
conn.execute_command('SET', 'k2', 'star')
conn.execute_command('SET', 'k3', 'lambda')
def testGettingANonExistingExecutionIdShouldError(self):
self.env.expect('RG.GETEXECUTION', 'NoSuchExecutionId').raiseError()
def testGettingAnExecutionPlanShouldSucceed(self):
id = self.env.cmd('RG.PYEXECUTE',
"GB().map(lambda x: x['value']).run()", 'UNBLOCKING')
time.sleep(1)
res = self.env.cmd('RG.GETEXECUTION', id)
self.env.assertEqual(res[0][3][7], 3) # results
self.env.assertEqual(len(res[0][3][9]), 0) # errors
self.env.cmd('RG.DROPEXECUTION', id)
def testProfileExecutionsShouldBeDisabledByDefault(self):
res = self.env.cmd('RG.CONFIGGET', 'ProfileExecutions')
self.env.assertEqual(res[0], 0)
def testExecutionShouldNotContainStepsDurationsWhenProfilingIsDisabled(
self):
res = self.env.cmd('RG.CONFIGSET', 'ProfileExecutions', 0)
self.env.assertOk(res[0])
id = self.env.cmd('RG.PYEXECUTE',
"GB().map(lambda x: x['value']).run()", 'UNBLOCKING')
time.sleep(1)
res = self.env.cmd('RG.GETEXECUTION', id)
steps = res[0][3][15]
self.env.assertLessEqual(1, len(steps))
sdursum = 0
for _, stype, _, sdur, _, sname, _, sarg in steps:
sdursum += sdur
self.env.assertEqual(sdursum, 0)
self.env.cmd('RG.DROPEXECUTION', id)
def testExecutionsShouldContainSomeStepsDurationsWhenProfilingIsEnabled(
self):
res = self.env.cmd('RG.CONFIGSET', 'ProfileExecutions', 1)
self.env.assertOk(res[0])
id = self.env.cmd('RG.PYEXECUTE',
"GB().flatmap(lambda x: x['value']).run()",
'UNBLOCKING')
time.sleep(1)
res = self.env.cmd(
'RG.CONFIGSET', 'ProfileExecutions',
0) # TODO: consider running the basicTests class with profiling
self.env.assertOk(res[0])
res = self.env.cmd('RG.GETEXECUTION', id)
steps = res[0][3][15]
self.env.assertLessEqual(1, len(steps))
sdursum = 0
for _, stype, _, sdur, _, sname, _, sarg in steps:
sdursum += sdur
self.env.assertLessEqual(0, sdursum)
self.env.cmd('RG.DROPEXECUTION', id)
def testGetShardExecutionShouldSucceed(self):
id = self.env.cmd('RG.PYEXECUTE', "GB().filter(lambda x: true).run()",
'UNBLOCKING')
time.sleep(1)
res = self.env.cmd('RG.GETEXECUTION', id, 'sHARD')
self.env.assertEqual(1, len(res))
self.env.cmd('RG.DROPEXECUTION', id)
def testGetClusterExecutionShouldSucceedWhenInClusterMode(self):
if self.env.shardsCount < 2: # TODO: RedisGears_IsClusterMode reports false for clusters with 1 shard
self.env.skip()
id = self.env.cmd('RG.PYEXECUTE', "GB().map(lambda x: x).run()",
'UNBLOCKING')
time.sleep(1)
res = self.env.cmd('RG.GETEXECUTION', id, 'Cluster')
self.env.assertLessEqual(1, len(res))
self.env.cmd('RG.DROPEXECUTION', id)
class TestAggregate():
def __init__(self):
self.env = Env()
add_values(self.env)
def testGroupBy(self):
cmd = ['ft.aggregate', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0', 'AS', 'count',
'SORTBY', 2, '@count', 'desc',
'LIMIT', '0', '5'
]
res = self.env.cmd(*cmd)
self.env.assertIsNotNone(res)
self.env.assertEqual([292L, ['brand', '', 'count', '1518'], ['brand', 'mad catz', 'count', '43'],
['brand', 'generic', 'count', '40'], ['brand', 'steelseries', 'count', '37'],
['brand', 'logitech', 'count', '35']], res)
def testMinMax(self):
cmd = ['ft.aggregate', 'games', 'sony',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0',
'REDUCE', 'min', '1', '@price', 'as', 'minPrice',
'SORTBY', '2', '@minPrice', 'DESC']
res = self.env.cmd(*cmd)
self.env.assertIsNotNone(res)
row = to_dict(res[1])
self.env.assertEqual(88, int(float(row['minPrice'])))
cmd = ['ft.aggregate', 'games', 'sony',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0',
'REDUCE', 'max', '1', '@price', 'as', 'maxPrice',
'SORTBY', '2', '@maxPrice', 'DESC']
res = self.env.cmd(*cmd)
row = to_dict(res[1])
self.env.assertEqual(695, int(float(row['maxPrice'])))
def testAvg(self):
cmd = ['ft.aggregate', 'games', 'sony',
'GROUPBY', '1', '@brand',
'REDUCE', 'avg', '1', '@price', 'AS', 'avg_price',
'REDUCE', 'count', '0',
'SORTBY', '2', '@avg_price', 'DESC']
res = self.env.cmd(*cmd)
self.env.assertIsNotNone(res)
self.env.assertEqual(26, res[0])
# Ensure the formatting actually exists
first_row = to_dict(res[1])
self.env.assertEqual(109, int(float(first_row['avg_price'])))
for row in res[1:]:
row = to_dict(row)
self.env.assertIn('avg_price', row)
# Test aliasing
cmd = ['FT.AGGREGATE', 'games', 'sony', 'GROUPBY', '1', '@brand',
'REDUCE', 'avg', '1', '@price', 'AS', 'avgPrice']
res = self.env.cmd(*cmd)
first_row = to_dict(res[1])
self.env.assertEqual(17, int(float(first_row['avgPrice'])))
def testCountDistinct(self):
cmd = ['FT.AGGREGATE', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'COUNT_DISTINCT', '1', '@title', 'AS', 'count_distinct(title)',
'REDUCE', 'COUNT', '0'
]
res = self.env.cmd(*cmd)[1:]
# print res
row = to_dict(res[0])
self.env.assertEqual(1484, int(row['count_distinct(title)']))
cmd = ['FT.AGGREGATE', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'COUNT_DISTINCTISH', '1', '@title', 'AS', 'count_distinctish(title)',
'REDUCE', 'COUNT', '0'
]
res = self.env.cmd(*cmd)[1:]
# print res
row = to_dict(res[0])
self.env.assertEqual(1461, int(row['count_distinctish(title)']))
def testQuantile(self):
cmd = ['FT.AGGREGATE', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'QUANTILE', '2', '@price', '0.50', 'AS', 'q50',
'REDUCE', 'QUANTILE', '2', '@price', '0.90', 'AS', 'q90',
'REDUCE', 'QUANTILE', '2', '@price', '0.95', 'AS', 'q95',
'REDUCE', 'AVG', '1', '@price',
'REDUCE', 'COUNT', '0', 'AS', 'rowcount',
'SORTBY', '2', '@rowcount', 'DESC', 'MAX', '1']
res = self.env.cmd(*cmd)
row = to_dict(res[1])
# TODO: Better samples
self.env.assertAlmostEqual(14.99, float(row['q50']), delta=3)
self.env.assertAlmostEqual(70, float(row['q90']), delta=50)
# This tests the 95th percentile, which is error prone because
# so few samples actually exist. I'm disabling it for now so that
# there is no breakage in CI
# self.env.assertAlmostEqual(110, (float(row['q95'])), delta=50)
def testStdDev(self):
cmd = ['FT.AGGREGATE', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'STDDEV', '1', '@price', 'AS', 'stddev(price)',
'REDUCE', 'AVG', '1', '@price', 'AS', 'avgPrice',
'REDUCE', 'QUANTILE', '2', '@price', '0.50', 'AS', 'q50Price',
'REDUCE', 'COUNT', '0', 'AS', 'rowcount',
'SORTBY', '2', '@rowcount', 'DESC',
'LIMIT', '0', '10']
res = self.env.cmd(*cmd)
row = to_dict(res[1])
self.env.assertTrue(10 <= int(
float(row['q50Price'])) <= 20)
self.env.assertAlmostEqual(53, int(float(row['stddev(price)'])), delta=50)
self.env.assertEqual(29, int(float(row['avgPrice'])))
def testParseTime(self):
cmd = ['FT.AGGREGATE', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'COUNT', '0', 'AS', 'count',
'APPLY', 'timefmt(1517417144)', 'AS', 'dt',
'APPLY', 'parse_time("%FT%TZ", @dt)', 'as', 'parsed_dt',
'LIMIT', '0', '1']
res = self.env.cmd(*cmd)
self.env.assertEqual(['brand', '', 'count', '1518', 'dt',
'2018-01-31T16:45:44Z', 'parsed_dt', '1517417144'], res[1])
def testRandomSample(self):
cmd = ['FT.AGGREGATE', 'games', '*', 'GROUPBY', '1', '@brand',
'REDUCE', 'COUNT', '0', 'AS', 'num',
'REDUCE', 'RANDOM_SAMPLE', '2', '@price', '10',
'SORTBY', '2', '@num', 'DESC', 'MAX', '10']
for row in self.env.cmd(*cmd)[1:]:
self.env.assertIsInstance(row[5], list)
self.env.assertGreater(len(row[5]), 0)
self.env.assertGreaterEqual(row[3], len(row[5]))
self.env.assertLessEqual(len(row[5]), 10)
def testTimeFunctions(self):
cmd = ['FT.AGGREGATE', 'games', '*',
'APPLY', '1517417144', 'AS', 'dt',
'APPLY', 'timefmt(@dt)', 'AS', 'timefmt',
'APPLY', 'day(@dt)', 'AS', 'day',
'APPLY', 'hour(@dt)', 'AS', 'hour',
'APPLY', 'minute(@dt)', 'AS', 'minute',
'APPLY', 'month(@dt)', 'AS', 'month',
'APPLY', 'dayofweek(@dt)', 'AS', 'dayofweek',
'APPLY', 'dayofmonth(@dt)', 'AS', 'dayofmonth',
'APPLY', 'dayofyear(@dt)', 'AS', 'dayofyear',
'APPLY', 'year(@dt)', 'AS', 'year',
'LIMIT', '0', '1']
res = self.env.cmd(*cmd)
self.env.assertListEqual([1L, ['dt', '1517417144', 'timefmt', '2018-01-31T16:45:44Z', 'day', '1517356800', 'hour', '1517414400',
'minute', '1517417100', 'month', '1514764800', 'dayofweek', '3', 'dayofmonth', '31', 'dayofyear', '30', 'year', '2018']], res)
def testStringFormat(self):
cmd = ['FT.AGGREGATE', 'games', '@brand:sony',
'GROUPBY', '2', '@title', '@brand',
'REDUCE', 'COUNT', '0',
'REDUCE', 'MAX', '1', '@price', 'AS', 'price',
'APPLY', 'format("%s|%s|%s|%s", @title, @brand, "Mark", @price)', 'as', 'titleBrand',
'LIMIT', '0', '10']
res = self.env.cmd(*cmd)
for row in res[1:]:
row = to_dict(row)
expected = '%s|%s|%s|%g' % (
row['title'], row['brand'], 'Mark', float(row['price']))
self.env.assertEqual(expected, row['titleBrand'])
def testSum(self):
cmd = ['ft.aggregate', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0', 'AS', 'count',
'REDUCE', 'sum', 1, '@price', 'AS', 'sum(price)',
'SORTBY', 2, '@sum(price)', 'desc',
'LIMIT', '0', '5'
]
res = self.env.cmd(*cmd)
self.env.assertEqual([292L, ['brand', '', 'count', '1518', 'sum(price)', '44780.69'],
['brand', 'mad catz', 'count',
'43', 'sum(price)', '3973.48'],
['brand', 'razer', 'count', '26',
'sum(price)', '2558.58'],
['brand', 'logitech', 'count',
'35', 'sum(price)', '2329.21'],
['brand', 'steelseries', 'count', '37', 'sum(price)', '1851.12']], res)
def testFilter(self):
cmd = ['ft.aggregate', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0', 'AS', 'count',
'FILTER', '@count > 5'
]
res = self.env.cmd(*cmd)
for row in res[1:]:
row = to_dict(row)
self.env.assertGreater(int(row['count']), 5)
cmd = ['ft.aggregate', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'count', '0', 'AS', 'count',
'FILTER', '@count < 5',
'FILTER', '@count > 2 && @brand != ""'
]
res = self.env.cmd(*cmd)
for row in res[1:]:
row = to_dict(row)
self.env.assertLess(int(row['count']), 5)
self.env.assertGreater(int(row['count']), 2)
def testToList(self):
cmd = ['ft.aggregate', 'games', '*',
'GROUPBY', '1', '@brand',
'REDUCE', 'count_distinct', '1', '@price', 'as', 'count',
'REDUCE', 'tolist', 1, '@price', 'as', 'prices',
'SORTBY', 2, '@count', 'desc',
'LIMIT', '0', '5'
]
res = self.env.cmd(*cmd)
for row in res[1:]:
row = to_dict(row)
self.env.assertEqual(int(row['count']), len(row['prices']))
def testSortBy(self):
res = self.env.cmd('ft.aggregate', 'games', '*', 'GROUPBY', '1', '@brand',
'REDUCE', 'sum', 1, '@price', 'as', 'price',
'SORTBY', 2, '@price', 'desc',
'LIMIT', '0', '2')
self.env.assertListEqual([292L, ['brand', '', 'price', '44780.69'], [
'brand', 'mad catz', 'price', '3973.48']], res)
res = self.env.cmd('ft.aggregate', 'games', '*', 'GROUPBY', '1', '@brand',
'REDUCE', 'sum', 1, '@price', 'as', 'price',
'SORTBY', 2, '@price', 'asc',
'LIMIT', '0', '2')
self.env.assertListEqual([292L, ['brand', 'myiico', 'price', '0.23'], [
'brand', 'crystal dynamics', 'price', '0.25']], res)
# Test MAX with limit higher than it
res = self.env.cmd('ft.aggregate', 'games', '*', 'GROUPBY', '1', '@brand',
'REDUCE', 'sum', 1, '@price', 'as', 'price',
'SORTBY', 2, '@price', 'asc', 'MAX', 2)
self.env.assertListEqual([292L, ['brand', 'myiico', 'price', '0.23'], [
'brand', 'crystal dynamics', 'price', '0.25']], res)
# Test Sorting by multiple properties
res = self.env.cmd('ft.aggregate', 'games', '*', 'GROUPBY', '1', '@brand',
'REDUCE', 'sum', 1, '@price', 'as', 'price',
'APPLY', '(@price % 10)', 'AS', 'price',
'SORTBY', 4, '@price', 'asc', '@brand', 'desc', 'MAX', 10,
)
self.env.assertListEqual([292L, ['brand', 'zps', 'price', '0'], ['brand', 'zalman', 'price', '0'], ['brand', 'yoozoo', 'price', '0'], ['brand', 'white label', 'price', '0'], ['brand', 'stinky', 'price', '0'], [
'brand', 'polaroid', 'price', '0'], ['brand', 'plantronics', 'price', '0'], ['brand', 'ozone', 'price', '0'], ['brand', 'oooo', 'price', '0'], ['brand', 'neon', 'price', '0']], res)
def testExpressions(self):
pass
def testNoGroup(self):
res = self.env.cmd('ft.aggregate', 'games', '*', 'LOAD', '2', '@brand', '@price',
'APPLY', 'floor(sqrt(@price)) % 10', 'AS', 'price',
'SORTBY', 4, '@price', 'desc', '@brand', 'desc', 'MAX', 5,
)
exp = [2265L,
['brand', 'xbox', 'price', '9'],
['brand', 'turtle beach', 'price', '9'],
['brand', 'trust', 'price', '9'],
['brand', 'steelseries', 'price', '9'],
['brand', 'speedlink', 'price', '9']]
# exp = [2265L, ['brand', 'Xbox', 'price', '9'], ['brand', 'Turtle Beach', 'price', '9'], [
# 'brand', 'Trust', 'price', '9'], ['brand', 'SteelSeries', 'price', '9'], ['brand', 'Speedlink', 'price', '9']]
self.env.assertListEqual(exp[1], res[1])
def testLoad(self):
res = self.env.cmd('ft.aggregate', 'games', '*',
'LOAD', '3', '@brand', '@price', '@nonexist',
'SORTBY', 2, '@price', 'DESC', 'MAX', 2)
exp = [3L, ['brand', '', 'price', '759.12'], ['brand', 'Sony', 'price', '695.8']]
self.env.assertEqual(exp[1], res[1])
def testSplit(self):
res = self.env.cmd('ft.aggregate', 'games', '*', 'APPLY', 'split("hello world, foo,,,bar,", ",", " ")', 'AS', 'strs',
'APPLY', 'split("hello world, foo,,,bar,", " ", ",")', 'AS', 'strs2',
'APPLY', 'split("hello world, foo,,,bar,", "", "")', 'AS', 'strs3',
'APPLY', 'split("hello world, foo,,,bar,")', 'AS', 'strs4',
'APPLY', 'split("hello world, foo,,,bar,",",")', 'AS', 'strs5',
'APPLY', 'split("")', 'AS', 'empty',
'LIMIT', '0', '1'
)
# print "Got {} results".format(len(res))
# return
# pprint.pprint(res)
self.env.assertListEqual([1L, ['strs', ['hello world', 'foo', 'bar'],
'strs2', ['hello', 'world', 'foo,,,bar'],
'strs3', ['hello world, foo,,,bar,'],
'strs4', ['hello world', 'foo', 'bar'],
'strs5', ['hello world', 'foo', 'bar'],
'empty', []]], res)
def testFirstValue(self):
res = self.env.cmd('ft.aggregate', 'games', '@brand:(sony|matias|beyerdynamic|(mad catz))',
'GROUPBY', 1, '@brand',
'REDUCE', 'FIRST_VALUE', 4, '@title', 'BY', '@price', 'DESC', 'AS', 'top_item',
'REDUCE', 'FIRST_VALUE', 4, '@price', 'BY', '@price', 'DESC', 'AS', 'top_price',
'REDUCE', 'FIRST_VALUE', 4, '@title', 'BY', '@price', 'ASC', 'AS', 'bottom_item',
'REDUCE', 'FIRST_VALUE', 4, '@price', 'BY', '@price', 'ASC', 'AS', 'bottom_price',
'SORTBY', 2, '@top_price', 'DESC', 'MAX', 5
)
expected = [4L, ['brand', 'sony', 'top_item', 'sony psp slim & lite 2000 console', 'top_price', '695.8', 'bottom_item', 'sony dlchd20p high speed hdmi cable for playstation 3', 'bottom_price', '5.88'],
['brand', 'matias', 'top_item', 'matias halfkeyboard usb', 'top_price',
'559.99', 'bottom_item', 'matias halfkeyboard usb', 'bottom_price', '559.99'],
['brand', 'beyerdynamic', 'top_item', 'beyerdynamic mmx300 pc gaming premium digital headset with microphone', 'top_price', '359.74',
'bottom_item', 'beyerdynamic headzone pc gaming digital surround sound system with mmx300 digital headset with microphone', 'bottom_price', '0'],
['brand', 'mad catz', 'top_item', 'mad catz s.t.r.i.k.e.7 gaming keyboard', 'top_price', '295.95', 'bottom_item', 'madcatz mov4545 xbox replacement breakaway cable', 'bottom_price', '3.49']]
self.env.assertListEqual(expected, res)
def testLoadAfterGroupBy(self):
with self.env.assertResponseError():
self.env.cmd('ft.aggregate', 'games', '*',
'GROUPBY', 1, '@brand',
'LOAD', 1, '@brand')
