rocksdb/tools/db_crashtest.py
Levi Tamasi 3e1bf771a3 Make it possible to force the garbage collection of the oldest blob files (#8994)
Summary:
The current BlobDB garbage collection logic works by relocating the valid
blobs from the oldest blob files as they are encountered during compaction,
and cleaning up blob files once they contain nothing but garbage. However,
with sufficiently skewed workloads, it is theoretically possible to end up in a
situation when few or no compactions get scheduled for the SST files that contain
references to the oldest blob files, which can lead to increased space amp due
to the lack of GC.

In order to efficiently handle such workloads, the patch adds a new BlobDB
configuration option called `blob_garbage_collection_force_threshold`,
which signals to BlobDB to schedule targeted compactions for the SST files
that keep alive the oldest batch of blob files if the overall ratio of garbage in
the given blob files meets the threshold *and* all the given blob files are
eligible for GC based on `blob_garbage_collection_age_cutoff`. (For example,
if the new option is set to 0.9, targeted compactions will get scheduled if the
sum of garbage bytes meets or exceeds 90% of the sum of total bytes in the
oldest blob files, assuming all affected blob files are below the age-based cutoff.)
The net result of these targeted compactions is that the valid blobs in the oldest
blob files are relocated and the oldest blob files themselves cleaned up (since
*all* SST files that rely on them get compacted away).

These targeted compactions are similar to periodic compactions in the sense
that they force certain SST files that otherwise would not get picked up to undergo
compaction and also in the sense that instead of merging files from multiple levels,
they target a single file. (Note: such compactions might still include neighboring files
from the same level due to the need of having a "clean cut" boundary but they never
include any files from any other level.)

This functionality is currently only supported with the leveled compaction style
and is inactive by default (since the default value is set to 1.0, i.e. 100%).

Pull Request resolved: https://github.com/facebook/rocksdb/pull/8994

Test Plan: Ran `make check` and tested using `db_bench` and the stress/crash tests.

Reviewed By: riversand963

Differential Revision: D31489850

Pulled By: ltamasi

fbshipit-source-id: 44057d511726a0e2a03c5d9313d7511b3f0c4eab
2021-10-11 18:03:01 -07:00

730 lines
29 KiB
Python

#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import sys
import time
import random
import re
import tempfile
import subprocess
import shutil
import argparse
# params overwrite priority:
# for default:
# default_params < {blackbox,whitebox}_default_params < args
# for simple:
# default_params < {blackbox,whitebox}_default_params <
# simple_default_params <
# {blackbox,whitebox}_simple_default_params < args
# for cf_consistency:
# default_params < {blackbox,whitebox}_default_params <
# cf_consistency_params < args
# for txn:
# default_params < {blackbox,whitebox}_default_params < txn_params < args
default_params = {
"acquire_snapshot_one_in": 10000,
"backup_max_size": 100 * 1024 * 1024,
# Consider larger number when backups considered more stable
"backup_one_in": 100000,
"batch_protection_bytes_per_key": lambda: random.choice([0, 8]),
"block_size": 16384,
"bloom_bits": lambda: random.choice([random.randint(0,19),
random.lognormvariate(2.3, 1.3)]),
"cache_index_and_filter_blocks": lambda: random.randint(0, 1),
"cache_size": 1048576,
"checkpoint_one_in": 1000000,
"compression_type": lambda: random.choice(
["none", "snappy", "zlib", "bzip2", "lz4", "lz4hc", "xpress", "zstd"]),
"bottommost_compression_type": lambda:
"disable" if random.randint(0, 1) == 0 else
random.choice(
["none", "snappy", "zlib", "bzip2", "lz4", "lz4hc", "xpress",
"zstd"]),
"checksum_type" : lambda: random.choice(["kCRC32c", "kxxHash", "kxxHash64"]),
"compression_max_dict_bytes": lambda: 16384 * random.randint(0, 1),
"compression_zstd_max_train_bytes": lambda: 65536 * random.randint(0, 1),
# Disabled compression_parallel_threads as the feature is not stable
# lambda: random.choice([1] * 9 + [4])
"compression_parallel_threads": 1,
"compression_max_dict_buffer_bytes": lambda: (1 << random.randint(0, 40)) - 1,
"clear_column_family_one_in": 0,
"compact_files_one_in": 1000000,
"compact_range_one_in": 1000000,
"delpercent": 4,
"delrangepercent": 1,
"destroy_db_initially": 0,
"enable_pipelined_write": lambda: random.randint(0, 1),
"enable_compaction_filter": lambda: random.choice([0, 0, 0, 1]),
"expected_values_dir": lambda: setup_expected_values_dir(),
"fail_if_options_file_error": lambda: random.randint(0, 1),
"flush_one_in": 1000000,
"file_checksum_impl": lambda: random.choice(["none", "crc32c", "xxh64", "big"]),
"get_live_files_one_in": 1000000,
# Note: the following two are intentionally disabled as the corresponding
# APIs are not guaranteed to succeed.
"get_sorted_wal_files_one_in": 0,
"get_current_wal_file_one_in": 0,
# Temporarily disable hash index
"index_type": lambda: random.choice([0, 0, 0, 2, 2, 3]),
"iterpercent": 10,
"mark_for_compaction_one_file_in": lambda: 10 * random.randint(0, 1),
"max_background_compactions": 20,
"max_bytes_for_level_base": 10485760,
"max_key": 100000000,
"max_write_buffer_number": 3,
"mmap_read": lambda: random.randint(0, 1),
# Setting `nooverwritepercent > 0` is only possible because we do not vary
# the random seed, so the same keys are chosen by every run for disallowing
# overwrites.
"nooverwritepercent": 1,
"open_files": lambda : random.choice([-1, -1, 100, 500000]),
"optimize_filters_for_memory": lambda: random.randint(0, 1),
"partition_filters": lambda: random.randint(0, 1),
"partition_pinning": lambda: random.randint(0, 3),
"pause_background_one_in": 1000000,
"prefixpercent": 5,
"progress_reports": 0,
"readpercent": 45,
"recycle_log_file_num": lambda: random.randint(0, 1),
"reopen": 20,
"snapshot_hold_ops": 100000,
"sst_file_manager_bytes_per_sec": lambda: random.choice([0, 104857600]),
"sst_file_manager_bytes_per_truncate": lambda: random.choice([0, 1048576]),
"long_running_snapshots": lambda: random.randint(0, 1),
"subcompactions": lambda: random.randint(1, 4),
"target_file_size_base": 2097152,
"target_file_size_multiplier": 2,
"top_level_index_pinning": lambda: random.randint(0, 3),
"unpartitioned_pinning": lambda: random.randint(0, 3),
"use_direct_reads": lambda: random.randint(0, 1),
"use_direct_io_for_flush_and_compaction": lambda: random.randint(0, 1),
"mock_direct_io": False,
"use_clock_cache": 0, # currently broken
"use_full_merge_v1": lambda: random.randint(0, 1),
"use_merge": lambda: random.randint(0, 1),
# 999 -> use Bloom API
"ribbon_starting_level": lambda: random.choice([random.randint(-1, 10), 999]),
"use_block_based_filter": lambda: random.randint(0, 1),
"verify_checksum": 1,
"write_buffer_size": 4 * 1024 * 1024,
"writepercent": 35,
"format_version": lambda: random.choice([2, 3, 4, 5, 5]),
"index_block_restart_interval": lambda: random.choice(range(1, 16)),
"use_multiget" : lambda: random.randint(0, 1),
"periodic_compaction_seconds" :
lambda: random.choice([0, 0, 1, 2, 10, 100, 1000]),
"compaction_ttl" : lambda: random.choice([0, 0, 1, 2, 10, 100, 1000]),
# Test small max_manifest_file_size in a smaller chance, as most of the
# time we wnat manifest history to be preserved to help debug
"max_manifest_file_size" : lambda : random.choice(
[t * 16384 if t < 3 else 1024 * 1024 * 1024 for t in range(1, 30)]),
# Sync mode might make test runs slower so running it in a smaller chance
"sync" : lambda : random.choice(
[1 if t == 0 else 0 for t in range(0, 20)]),
# Disable compation_readahead_size because the test is not passing.
#"compaction_readahead_size" : lambda : random.choice(
# [0, 0, 1024 * 1024]),
"db_write_buffer_size" : lambda: random.choice(
[0, 0, 0, 1024 * 1024, 8 * 1024 * 1024, 128 * 1024 * 1024]),
"avoid_unnecessary_blocking_io" : random.randint(0, 1),
"write_dbid_to_manifest" : random.randint(0, 1),
"avoid_flush_during_recovery" : random.choice(
[1 if t == 0 else 0 for t in range(0, 8)]),
"max_write_batch_group_size_bytes" : lambda: random.choice(
[16, 64, 1024 * 1024, 16 * 1024 * 1024]),
"level_compaction_dynamic_level_bytes" : True,
"verify_checksum_one_in": 1000000,
"verify_db_one_in": 100000,
"continuous_verification_interval" : 0,
"max_key_len": 3,
"key_len_percent_dist": "1,30,69",
"read_fault_one_in": lambda: random.choice([0, 32, 1000]),
"open_metadata_write_fault_one_in": lambda: random.choice([0, 0, 8]),
"open_write_fault_one_in": lambda: random.choice([0, 0, 16]),
"open_read_fault_one_in": lambda: random.choice([0, 0, 32]),
"sync_fault_injection": False,
"get_property_one_in": 1000000,
"paranoid_file_checks": lambda: random.choice([0, 1, 1, 1]),
"max_write_buffer_size_to_maintain": lambda: random.choice(
[0, 1024 * 1024, 2 * 1024 * 1024, 4 * 1024 * 1024, 8 * 1024 * 1024]),
"user_timestamp_size": 0,
}
_TEST_DIR_ENV_VAR = 'TEST_TMPDIR'
_DEBUG_LEVEL_ENV_VAR = 'DEBUG_LEVEL'
stress_cmd = "./db_stress"
def is_release_mode():
return os.environ.get(_DEBUG_LEVEL_ENV_VAR) == "0"
def get_dbname(test_name):
test_dir_name = "rocksdb_crashtest_" + test_name
test_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)
if test_tmpdir is None or test_tmpdir == "":
dbname = tempfile.mkdtemp(prefix=test_dir_name)
else:
dbname = test_tmpdir + "/" + test_dir_name
shutil.rmtree(dbname, True)
os.mkdir(dbname)
return dbname
expected_values_dir = None
def setup_expected_values_dir():
global expected_values_dir
if expected_values_dir is not None:
return expected_values_dir
expected_dir_prefix = "rocksdb_crashtest_expected_"
test_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)
if test_tmpdir is None or test_tmpdir == "":
expected_values_dir = tempfile.mkdtemp(
prefix=expected_dir_prefix)
else:
# if tmpdir is specified, store the expected_values_dir under that dir
expected_values_dir = test_tmpdir + "/rocksdb_crashtest_expected"
if os.path.exists(expected_values_dir):
shutil.rmtree(expected_values_dir)
os.mkdir(expected_values_dir)
return expected_values_dir
def is_direct_io_supported(dbname):
with tempfile.NamedTemporaryFile(dir=dbname) as f:
try:
os.open(f.name, os.O_DIRECT)
except BaseException:
return False
return True
blackbox_default_params = {
# total time for this script to test db_stress
"duration": 6000,
# time for one db_stress instance to run
"interval": 120,
# since we will be killing anyway, use large value for ops_per_thread
"ops_per_thread": 100000000,
"set_options_one_in": 10000,
"test_batches_snapshots": 1,
}
whitebox_default_params = {
"duration": 10000,
"log2_keys_per_lock": 10,
"ops_per_thread": 200000,
"random_kill_odd": 888887,
"test_batches_snapshots": lambda: random.randint(0, 1),
}
simple_default_params = {
"allow_concurrent_memtable_write": lambda: random.randint(0, 1),
"column_families": 1,
# TODO: re-enable once below loop succeeds for a while (a few minutes should
# suffice):
# `while rm -rf /dev/shm/single_stress && ./db_stress --clear_column_family_one_in=0 --column_families=1 --db=/dev/shm/single_stress --experimental_mempurge_threshold=5.493146827397074 --flush_one_in=10000 --reopen=0 --write_buffer_size=262144 --value_size_mult=33 --max_write_buffer_number=3 -ops_per_thread=10000; do : ; done`
"experimental_mempurge_threshold": 0,
"max_background_compactions": 1,
"max_bytes_for_level_base": 67108864,
"memtablerep": "skip_list",
"prefixpercent": 0,
"readpercent": 50,
"prefix_size" : -1,
"target_file_size_base": 16777216,
"target_file_size_multiplier": 1,
"test_batches_snapshots": 0,
"write_buffer_size": 32 * 1024 * 1024,
"level_compaction_dynamic_level_bytes": False,
"paranoid_file_checks": lambda: random.choice([0, 1, 1, 1]),
}
blackbox_simple_default_params = {
"open_files": -1,
"set_options_one_in": 0,
}
whitebox_simple_default_params = {}
cf_consistency_params = {
"disable_wal": lambda: random.randint(0, 1),
"reopen": 0,
"test_cf_consistency": 1,
# use small value for write_buffer_size so that RocksDB triggers flush
# more frequently
"write_buffer_size": 1024 * 1024,
"enable_pipelined_write": lambda: random.randint(0, 1),
# Snapshots are used heavily in this test mode, while they are incompatible
# with compaction filter.
"enable_compaction_filter": 0,
}
txn_params = {
"use_txn" : 1,
# Avoid lambda to set it once for the entire test
"txn_write_policy": random.randint(0, 2),
"unordered_write": random.randint(0, 1),
"disable_wal": 0,
# OpenReadOnly after checkpoint is not currnetly compatible with WritePrepared txns
"checkpoint_one_in": 0,
# pipeline write is not currnetly compatible with WritePrepared txns
"enable_pipelined_write": 0,
}
best_efforts_recovery_params = {
"best_efforts_recovery": True,
"skip_verifydb": True,
"verify_db_one_in": 0,
"continuous_verification_interval": 0,
}
blob_params = {
"allow_setting_blob_options_dynamically": 1,
# Enable blob files and GC with a 75% chance initially; note that they might still be
# enabled/disabled during the test via SetOptions
"enable_blob_files": lambda: random.choice([0] + [1] * 3),
"min_blob_size": lambda: random.choice([0, 8, 16]),
"blob_file_size": lambda: random.choice([1048576, 16777216, 268435456, 1073741824]),
"blob_compression_type": lambda: random.choice(["none", "snappy", "lz4", "zstd"]),
"enable_blob_garbage_collection": lambda: random.choice([0] + [1] * 3),
"blob_garbage_collection_age_cutoff": lambda: random.choice([0.0, 0.25, 0.5, 0.75, 1.0]),
"blob_garbage_collection_force_threshold": lambda: random.choice([0.5, 0.75, 1.0]),
}
ts_params = {
"test_cf_consistency": 0,
"test_batches_snapshots": 0,
"user_timestamp_size": 8,
"use_merge": 0,
"use_full_merge_v1": 0,
"use_txn": 0,
"read_only": 0,
"secondary_catch_up_one_in": 0,
"continuous_verification_interval": 0,
"checkpoint_one_in": 0,
"enable_blob_files": 0,
"use_blob_db": 0,
"enable_compaction_filter": 0,
"ingest_external_file_one_in": 0,
"use_block_based_filter": 0,
}
def finalize_and_sanitize(src_params):
dest_params = dict([(k, v() if callable(v) else v)
for (k, v) in src_params.items()])
if dest_params.get("compression_max_dict_bytes") == 0:
dest_params["compression_zstd_max_train_bytes"] = 0
dest_params["compression_max_dict_buffer_bytes"] = 0
if dest_params.get("compression_type") != "zstd":
dest_params["compression_zstd_max_train_bytes"] = 0
if dest_params.get("allow_concurrent_memtable_write", 1) == 1:
dest_params["memtablerep"] = "skip_list"
if dest_params["mmap_read"] == 1:
dest_params["use_direct_io_for_flush_and_compaction"] = 0
dest_params["use_direct_reads"] = 0
if (dest_params["use_direct_io_for_flush_and_compaction"] == 1
or dest_params["use_direct_reads"] == 1) and \
not is_direct_io_supported(dest_params["db"]):
if is_release_mode():
print("{} does not support direct IO. Disabling use_direct_reads and "
"use_direct_io_for_flush_and_compaction.\n".format(
dest_params["db"]))
dest_params["use_direct_reads"] = 0
dest_params["use_direct_io_for_flush_and_compaction"] = 0
else:
dest_params["mock_direct_io"] = True
# DeleteRange is not currnetly compatible with Txns and timestamp
if (dest_params.get("test_batches_snapshots") == 1 or
dest_params.get("use_txn") == 1 or
dest_params.get("user_timestamp_size") > 0):
dest_params["delpercent"] += dest_params["delrangepercent"]
dest_params["delrangepercent"] = 0
# Only under WritePrepared txns, unordered_write would provide the same guarnatees as vanilla rocksdb
if dest_params.get("unordered_write", 0) == 1:
dest_params["txn_write_policy"] = 1
dest_params["allow_concurrent_memtable_write"] = 1
if dest_params.get("disable_wal", 0) == 1:
dest_params["atomic_flush"] = 1
dest_params["sync"] = 0
dest_params["write_fault_one_in"] = 0
if dest_params.get("open_files", 1) != -1:
# Compaction TTL and periodic compactions are only compatible
# with open_files = -1
dest_params["compaction_ttl"] = 0
dest_params["periodic_compaction_seconds"] = 0
if dest_params.get("compaction_style", 0) == 2:
# Disable compaction TTL in FIFO compaction, because right
# now assertion failures are triggered.
dest_params["compaction_ttl"] = 0
dest_params["periodic_compaction_seconds"] = 0
if dest_params["partition_filters"] == 1:
if dest_params["index_type"] != 2:
dest_params["partition_filters"] = 0
else:
dest_params["use_block_based_filter"] = 0
if dest_params["ribbon_starting_level"] < 999:
dest_params["use_block_based_filter"] = 0
if dest_params.get("atomic_flush", 0) == 1:
# disable pipelined write when atomic flush is used.
dest_params["enable_pipelined_write"] = 0
if dest_params.get("sst_file_manager_bytes_per_sec", 0) == 0:
dest_params["sst_file_manager_bytes_per_truncate"] = 0
if dest_params.get("enable_compaction_filter", 0) == 1:
# Compaction filter is incompatible with snapshots. Need to avoid taking
# snapshots, as well as avoid operations that use snapshots for
# verification.
dest_params["acquire_snapshot_one_in"] = 0
dest_params["compact_range_one_in"] = 0
# Give the iterator ops away to reads.
dest_params["readpercent"] += dest_params.get("iterpercent", 10)
dest_params["iterpercent"] = 0
dest_params["test_batches_snapshots"] = 0
if dest_params.get("test_batches_snapshots") == 0:
dest_params["batch_protection_bytes_per_key"] = 0
return dest_params
def gen_cmd_params(args):
params = {}
params.update(default_params)
if args.test_type == 'blackbox':
params.update(blackbox_default_params)
if args.test_type == 'whitebox':
params.update(whitebox_default_params)
if args.simple:
params.update(simple_default_params)
if args.test_type == 'blackbox':
params.update(blackbox_simple_default_params)
if args.test_type == 'whitebox':
params.update(whitebox_simple_default_params)
if args.cf_consistency:
params.update(cf_consistency_params)
if args.txn:
params.update(txn_params)
if args.test_best_efforts_recovery:
params.update(best_efforts_recovery_params)
if args.enable_ts:
params.update(ts_params)
# Best-effort recovery and BlobDB are currently incompatible. Test BE recovery
# if specified on the command line; otherwise, apply BlobDB related overrides
# with a 10% chance.
if (not args.test_best_efforts_recovery and
not args.enable_ts and
random.choice([0] * 9 + [1]) == 1):
params.update(blob_params)
for k, v in vars(args).items():
if v is not None:
params[k] = v
return params
def gen_cmd(params, unknown_params):
finalzied_params = finalize_and_sanitize(params)
cmd = [stress_cmd] + [
'--{0}={1}'.format(k, v)
for k, v in [(k, finalzied_params[k]) for k in sorted(finalzied_params)]
if k not in set(['test_type', 'simple', 'duration', 'interval',
'random_kill_odd', 'cf_consistency', 'txn',
'test_best_efforts_recovery', 'enable_ts', 'stress_cmd'])
and v is not None] + unknown_params
return cmd
# Inject inconsistency to db directory.
def inject_inconsistencies_to_db_dir(dir_path):
files = os.listdir(dir_path)
file_num_rgx = re.compile(r'(?P<number>[0-9]{6})')
largest_fnum = 0
for f in files:
m = file_num_rgx.search(f)
if m and not f.startswith('LOG'):
largest_fnum = max(largest_fnum, int(m.group('number')))
candidates = [
f for f in files if re.search(r'[0-9]+\.sst', f)
]
deleted = 0
corrupted = 0
for f in candidates:
rnd = random.randint(0, 99)
f_path = os.path.join(dir_path, f)
if rnd < 10:
os.unlink(f_path)
deleted = deleted + 1
elif 10 <= rnd and rnd < 30:
with open(f_path, "a") as fd:
fd.write('12345678')
corrupted = corrupted + 1
print('Removed %d table files' % deleted)
print('Corrupted %d table files' % corrupted)
# Add corrupted MANIFEST and SST
for num in range(largest_fnum + 1, largest_fnum + 10):
rnd = random.randint(0, 1)
fname = ("MANIFEST-%06d" % num) if rnd == 0 else ("%06d.sst" % num)
print('Write %s' % fname)
with open(os.path.join(dir_path, fname), "w") as fd:
fd.write("garbage")
def execute_cmd(cmd, timeout):
child = subprocess.Popen(cmd, stderr=subprocess.PIPE,
stdout=subprocess.PIPE)
print("Running db_stress with pid=%d: %s\n\n"
% (child.pid, ' '.join(cmd)))
try:
outs, errs = child.communicate(timeout=timeout)
hit_timeout = False
print("WARNING: db_stress ended before kill: exitcode=%d\n"
% child.returncode)
except subprocess.TimeoutExpired:
hit_timeout = True
child.kill()
print("KILLED %d\n" % child.pid)
outs, errs = child.communicate()
return hit_timeout, child.returncode, outs.decode('utf-8'), errs.decode('utf-8')
# This script runs and kills db_stress multiple times. It checks consistency
# in case of unsafe crashes in RocksDB.
def blackbox_crash_main(args, unknown_args):
cmd_params = gen_cmd_params(args)
dbname = get_dbname('blackbox')
exit_time = time.time() + cmd_params['duration']
print("Running blackbox-crash-test with \n"
+ "interval_between_crash=" + str(cmd_params['interval']) + "\n"
+ "total-duration=" + str(cmd_params['duration']) + "\n")
while time.time() < exit_time:
cmd = gen_cmd(dict(
list(cmd_params.items())
+ list({'db': dbname}.items())), unknown_args)
hit_timeout, retcode, outs, errs = execute_cmd(cmd, cmd_params['interval'])
if not hit_timeout:
print('Exit Before Killing')
print('stdout:')
print(outs)
print('stderr:')
print(errs)
sys.exit(2)
for line in errs.split('\n'):
if line != '' and not line.startswith('WARNING'):
print('stderr has error message:')
print('***' + line + '***')
time.sleep(1) # time to stabilize before the next run
if args.test_best_efforts_recovery:
inject_inconsistencies_to_db_dir(dbname)
time.sleep(1) # time to stabilize before the next run
# we need to clean up after ourselves -- only do this on test success
shutil.rmtree(dbname, True)
# This python script runs db_stress multiple times. Some runs with
# kill_random_test that causes rocksdb to crash at various points in code.
def whitebox_crash_main(args, unknown_args):
cmd_params = gen_cmd_params(args)
dbname = get_dbname('whitebox')
cur_time = time.time()
exit_time = cur_time + cmd_params['duration']
half_time = cur_time + cmd_params['duration'] // 2
print("Running whitebox-crash-test with \n"
+ "total-duration=" + str(cmd_params['duration']) + "\n")
total_check_mode = 4
check_mode = 0
kill_random_test = cmd_params['random_kill_odd']
kill_mode = 0
while time.time() < exit_time:
if check_mode == 0:
additional_opts = {
# use large ops per thread since we will kill it anyway
"ops_per_thread": 100 * cmd_params['ops_per_thread'],
}
# run with kill_random_test, with three modes.
# Mode 0 covers all kill points. Mode 1 covers less kill points but
# increases change of triggering them. Mode 2 covers even less
# frequent kill points and further increases triggering change.
if kill_mode == 0:
additional_opts.update({
"kill_random_test": kill_random_test,
})
elif kill_mode == 1:
if cmd_params.get('disable_wal', 0) == 1:
my_kill_odd = kill_random_test // 50 + 1
else:
my_kill_odd = kill_random_test // 10 + 1
additional_opts.update({
"kill_random_test": my_kill_odd,
"kill_exclude_prefixes": "WritableFileWriter::Append,"
+ "WritableFileWriter::WriteBuffered",
})
elif kill_mode == 2:
# TODO: May need to adjust random odds if kill_random_test
# is too small.
additional_opts.update({
"kill_random_test": (kill_random_test // 5000 + 1),
"kill_exclude_prefixes": "WritableFileWriter::Append,"
"WritableFileWriter::WriteBuffered,"
"PosixMmapFile::Allocate,WritableFileWriter::Flush",
})
# Run kill mode 0, 1 and 2 by turn.
kill_mode = (kill_mode + 1) % 3
elif check_mode == 1:
# normal run with universal compaction mode
additional_opts = {
"kill_random_test": None,
"ops_per_thread": cmd_params['ops_per_thread'],
"compaction_style": 1,
}
# Single level universal has a lot of special logic. Ensure we cover
# it sometimes.
if random.randint(0, 1) == 1:
additional_opts.update({
"num_levels": 1,
})
elif check_mode == 2:
# normal run with FIFO compaction mode
# ops_per_thread is divided by 5 because FIFO compaction
# style is quite a bit slower on reads with lot of files
additional_opts = {
"kill_random_test": None,
"ops_per_thread": cmd_params['ops_per_thread'] // 5,
"compaction_style": 2,
}
else:
# normal run
additional_opts = {
"kill_random_test": None,
"ops_per_thread": cmd_params['ops_per_thread'],
}
cmd = gen_cmd(dict(list(cmd_params.items())
+ list(additional_opts.items())
+ list({'db': dbname}.items())), unknown_args)
print("Running:" + ' '.join(cmd) + "\n") # noqa: E999 T25377293 Grandfathered in
# If the running time is 15 minutes over the run time, explicit kill and
# exit even if white box kill didn't hit. This is to guarantee run time
# limit, as if it runs as a job, running too long will create problems
# for job scheduling or execution.
# TODO detect a hanging condition. The job might run too long as RocksDB
# hits a hanging bug.
hit_timeout, retncode, stdoutdata, stderrdata = execute_cmd(
cmd, exit_time - time.time() + 900)
msg = ("check_mode={0}, kill option={1}, exitcode={2}\n".format(
check_mode, additional_opts['kill_random_test'], retncode))
print(msg)
print(stdoutdata)
print(stderrdata)
if hit_timeout:
print("Killing the run for running too long")
break
expected = False
if additional_opts['kill_random_test'] is None and (retncode == 0):
# we expect zero retncode if no kill option
expected = True
elif additional_opts['kill_random_test'] is not None and retncode <= 0:
# When kill option is given, the test MIGHT kill itself.
# If it does, negative retncode is expected. Otherwise 0.
expected = True
if not expected:
print("TEST FAILED. See kill option and exit code above!!!\n")
sys.exit(1)
stderrdata = stderrdata.lower()
errorcount = (stderrdata.count('error') -
stderrdata.count('got errors 0 times'))
print("#times error occurred in output is " + str(errorcount) +
"\n")
if (errorcount > 0):
print("TEST FAILED. Output has 'error'!!!\n")
sys.exit(2)
if (stderrdata.find('fail') >= 0):
print("TEST FAILED. Output has 'fail'!!!\n")
sys.exit(2)
# First half of the duration, keep doing kill test. For the next half,
# try different modes.
if time.time() > half_time:
# we need to clean up after ourselves -- only do this on test
# success
shutil.rmtree(dbname, True)
os.mkdir(dbname)
cmd_params.pop('expected_values_dir', None)
check_mode = (check_mode + 1) % total_check_mode
time.sleep(1) # time to stabilize after a kill
def main():
global stress_cmd
parser = argparse.ArgumentParser(description="This script runs and kills \
db_stress multiple times")
parser.add_argument("test_type", choices=["blackbox", "whitebox"])
parser.add_argument("--simple", action="store_true")
parser.add_argument("--cf_consistency", action='store_true')
parser.add_argument("--txn", action='store_true')
parser.add_argument("--test_best_efforts_recovery", action='store_true')
parser.add_argument("--enable_ts", action='store_true')
parser.add_argument("--stress_cmd")
all_params = dict(list(default_params.items())
+ list(blackbox_default_params.items())
+ list(whitebox_default_params.items())
+ list(simple_default_params.items())
+ list(blackbox_simple_default_params.items())
+ list(whitebox_simple_default_params.items())
+ list(blob_params.items())
+ list(ts_params.items()))
for k, v in all_params.items():
parser.add_argument("--" + k, type=type(v() if callable(v) else v))
# unknown_args are passed directly to db_stress
args, unknown_args = parser.parse_known_args()
test_tmpdir = os.environ.get(_TEST_DIR_ENV_VAR)
if test_tmpdir is not None and not os.path.isdir(test_tmpdir):
print('%s env var is set to a non-existent directory: %s' %
(_TEST_DIR_ENV_VAR, test_tmpdir))
sys.exit(1)
if args.stress_cmd:
stress_cmd = args.stress_cmd
if args.test_type == 'blackbox':
blackbox_crash_main(args, unknown_args)
if args.test_type == 'whitebox':
whitebox_crash_main(args, unknown_args)
# Only delete the `expected_values_dir` if test passes
if expected_values_dir is not None:
shutil.rmtree(expected_values_dir)
if __name__ == '__main__':
main()