Files
driver/tests/columns/test_sparse.py

203 lines
5.8 KiB
Python

from datetime import date
from io import BytesIO
from ipaddress import IPv6Address
from unittest import TestCase
from tests.testcase import BaseTestCase
from clickhouse_driver import errors
from clickhouse_driver.columns.base import SparseSerialization
from clickhouse_driver.varint import write_varint
ErrorCodes = errors.ErrorCodes
class SparseTestCase(BaseTestCase):
required_server_version = (22, 1)
create_table_template = (
'CREATE TABLE test ({}) '
'ENGINE = MergeTree '
'ORDER BY tuple() '
'SETTINGS ratio_of_defaults_for_sparse_serialization = 0.5'
)
def test_int_all_defaults(self):
columns = 'a Int32'
data = [(0, ), (0, ), (0, )]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test (a) VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(inserted, '0\n0\n0\n')
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
data = [(0,)]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test (a) VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(inserted, '0\n')
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
def test_int_borders_cases(self):
columns = 'a Int32'
data = [(1, ), (0, ), (0, ), (1, ), (0, ), (0, ), (1, )]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test (a) VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(inserted, '1\n0\n0\n1\n0\n0\n1\n')
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
def test_int_default_last(self):
columns = 'a Int32'
data = [(1, ), (0, ), (0, )]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test (a) VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(inserted, '1\n0\n0\n')
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
def test_sparse_tuples(self):
columns = 'a Int32, b Tuple(Int32, Tuple(Int32, Int32))'
data = [
(1, (1, (1, 0))),
(0, (0, (0, 0))),
(0, (0, (0, 0)))
]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(
inserted,
'1\t(1,(1,0))\n'
'0\t(0,(0,0))\n'
'0\t(0,(0,0))\n'
)
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
def test_sparse_ipv6(self):
columns = 'a IPv6'
data = [
(IPv6Address('::'), ),
(IPv6Address('::'), ),
(IPv6Address('2001:db8::1'), ),
]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(
inserted,
'::\n'
'::\n'
'2001:db8::1\n'
)
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
def test_sparse_dates(self):
columns = 'a Date32'
data = [
(date(1970, 1, 1), ),
(date(1970, 1, 1), ),
]
with self.create_table(columns):
self.client.execute(
'INSERT INTO test VALUES', data
)
query = 'SELECT * FROM test'
inserted = self.emit_cli(query)
self.assertEqual(
inserted,
'1970-01-01\n'
'1970-01-01\n'
)
inserted = self.client.execute(query)
self.assertEqual(inserted, data)
class FakeColumn(object):
null_value = 0
after_read_items = None
class SparseSerializationTestCase(TestCase):
# Sending sparse blocks is the server's choice; test directly.
END_OF_GRANULE_FLAG = 1 << 62
def make_buf(self, group_sizes):
buf = BytesIO()
for size in group_sizes:
write_varint(size, buf)
buf.seek(0)
buf.read_one = lambda: ord(buf.read(1))
return buf
def test_read_and_apply_sparse(self):
serialization = SparseSerialization(FakeColumn())
# Non-default items at positions 3 and 7 of [0,0,5,0,0,0,7,0].
buf = self.make_buf([2, 3, self.END_OF_GRANULE_FLAG | 1])
n_items = serialization.read_sparse(8, buf)
self.assertEqual(n_items, 2)
self.assertEqual(serialization.sparse_indexes, [3, 7])
self.assertEqual(serialization.items_total, 9)
self.assertEqual(
serialization.apply_sparse([5, 7]),
[0, 0, 5, 0, 0, 0, 7, 0]
)
def test_apply_sparse_with_after_read_items(self):
column = FakeColumn()
column.after_read_items = lambda items, nulls_map=None: \
tuple(x + 100 for x in items)
serialization = SparseSerialization(column)
buf = self.make_buf([0, self.END_OF_GRANULE_FLAG | 1])
n_items = serialization.read_sparse(3, buf)
self.assertEqual(n_items, 1)
self.assertEqual(serialization.apply_sparse([105]), [105, 100])