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#!/usr/bin/env python
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.
#
# In jurisdictions that recognize copyright laws, the author or authors
# of this software dedicate any and all copyright interest in the
# software to the public domain. We make this dedication for the benefit
# of the public at large and to the detriment of our heirs and
# successors. We intend this dedication to be an overt act of
# relinquishment in perpetuity of all present and future rights to this
# software under copyright law.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
import wttest
from wtdataset import SimpleDataSet
from wiredtiger import stat
from wtscenario import make_scenarios
from test_rollback_to_stable01 import test_rollback_to_stable_base
# test_rollback_to_stable02.py
# Test that rollback to stable brings back the history value to replace on-disk value.
class test_rollback_to_stable02(test_rollback_to_stable_base):
# For FLCS, set the page size down. Otherwise for the in-memory scenarios we get enough
# updates on the page that the in-memory page footprint exceeds the default maximum
# in-memory size, and that in turn leads to pathological behavior where the page gets
# force-evicted over and over again trying to resolve/condense the updates. But they
# don't (for in-memory, they can't be moved to the history store) so this leads to a
# semi-livelock state that makes the test some 20x slower than it needs to be.
#
# FUTURE: it would be better if the system adjusted on its own, but it's not critical
# and this workload (with every entry on the page modified repeatedly) isn't much like
# anything that happens in production.
format_values = [
('column', dict(key_format='r', value_format='S', extraconfig='')),
('column_fix', dict(key_format='r', value_format='8t', extraconfig=',leaf_page_max=4096')),
('row_integer', dict(key_format='i', value_format='S', extraconfig='')),
]
in_memory_values = [
('no_inmem', dict(in_memory=False)),
('inmem', dict(in_memory=True))
]
prepare_values = [
('no_prepare', dict(prepare=False)),
('prepare', dict(prepare=True))
]
scenarios = make_scenarios(format_values, in_memory_values, prepare_values)
def conn_config(self):
config = 'cache_size=100MB,statistics=(all)'
if self.in_memory:
config += ',in_memory=true'
else:
config += ',log=(enabled),in_memory=false'
return config
def test_rollback_to_stable(self):
nrows = 10000
# Create a table without logging.
uri = "table:rollback_to_stable02"
ds = SimpleDataSet(
self, uri, 0, key_format=self.key_format, value_format=self.value_format,
config='log=(enabled=false)' + self.extraconfig)
ds.populate()
if self.value_format == '8t':
valuea = 97
valueb = 98
valuec = 99
valued = 100
else:
valuea = "aaaaa" * 100
valueb = "bbbbb" * 100
valuec = "ccccc" * 100
valued = "ddddd" * 100
# Pin oldest and stable to timestamp 1.
self.conn.set_timestamp('oldest_timestamp=' + self.timestamp_str(1) +
',stable_timestamp=' + self.timestamp_str(1))
self.large_updates(uri, valuea, ds, nrows, self.prepare, 10)
# Check that all updates are seen.
self.check(valuea, uri, nrows, None, 10)
self.large_updates(uri, valueb, ds, nrows, self.prepare, 20)
# Check that the new updates are only seen after the update timestamp.
self.check(valueb, uri, nrows, None, 20)
self.large_updates(uri, valuec, ds, nrows, self.prepare, 30)
# Check that the new updates are only seen after the update timestamp.
self.check(valuec, uri, nrows, None, 30)
self.large_updates(uri, valued, ds, nrows, self.prepare, 40)
# Check that the new updates are only seen after the update timestamp.
self.check(valued, uri, nrows, None, 40)
# Pin stable to timestamp 30 if prepare otherwise 20.
if self.prepare:
self.conn.set_timestamp('stable_timestamp=' + self.timestamp_str(30))
else:
self.conn.set_timestamp('stable_timestamp=' + self.timestamp_str(20))
# Checkpoint to ensure that all the data is flushed.
self.session.breakpoint()
if not self.in_memory:
self.session.checkpoint()
self.conn.rollback_to_stable()
# Check that the new updates are only seen after the update timestamp.
self.session.breakpoint()
self.check(valueb, uri, nrows, None, 40)
self.check(valueb, uri, nrows, None, 20)
self.check(valuea, uri, nrows, None, 10)
stat_cursor = self.session.open_cursor('statistics:', None, None)
calls = stat_cursor[stat.conn.txn_rts][2]
upd_aborted = (stat_cursor[stat.conn.txn_rts_upd_aborted][2] +
stat_cursor[stat.conn.txn_rts_hs_removed][2])
keys_removed = stat_cursor[stat.conn.txn_rts_keys_removed][2]
keys_restored = stat_cursor[stat.conn.txn_rts_keys_restored][2]
pages_visited = stat_cursor[stat.conn.txn_rts_pages_visited][2]
stat_cursor.close()
self.assertEqual(calls, 1)
self.assertEqual(keys_removed, 0)
self.assertEqual(keys_restored, 0)
self.assertGreater(pages_visited, 0)
self.assertGreaterEqual(upd_aborted, nrows * 2)
if __name__ == '__main__':
wttest.run()
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