def test_reindexation(self):
# Adding an addon.
addon = amo.tests.addon_factory()
self.refresh()
# The search should return the addon.
wanted = [addon]
self.check_results(wanted)
# Current indices with aliases.
old_indices = self.get_indices_aliases()
# This is to start a reindexation in the background.
class ReindexThread(threading.Thread):
def __init__(self):
self.stdout = StringIO.StringIO()
super(ReindexThread, self).__init__()
def run(self):
management.call_command('reindex', stdout=self.stdout)
t = ReindexThread()
t.start()
# Wait for the reindex in the thread to flag the database.
# The database transaction isn't shared with the thread, so force the
# commit.
while t.is_alive() and not is_reindexing_amo():
connection._commit()
connection.clean_savepoints()
# We should still be able to search in the foreground while the reindex
# is being done in the background. We should also be able to index new
# documents, and they should not be lost.
old_addons_count = len(wanted)
while t.is_alive() and len(wanted) < old_addons_count + 3:
wanted.append(amo.tests.addon_factory())
connection._commit()
connection.clean_savepoints()
amo.search.get_es().refresh()
self.check_results(wanted)
if len(wanted) == old_addons_count:
raise AssertionError('Could not index objects in foreground while '
'reindexing in the background.')
t.join() # Wait for the thread to finish.
t.stdout.seek(0)
stdout = t.stdout.read()
assert 'Reindexation done' in stdout, stdout
# The reindexation is done, let's double check we have all our docs.
connection._commit()
connection.clean_savepoints()
amo.search.get_es().refresh()
self.check_results(wanted)
# New indices have been created, and aliases now point to them.
new_indices = self.get_indices_aliases()
eq_(len(old_indices), len(new_indices), (old_indices, new_indices))
assert new_indices != old_indices, stdout
def test_reindexation(self):
# Adding an addon.
addon = amo.tests.addon_factory()
self.refresh()
# The search should return the addon.
wanted = [addon]
self.check_results(wanted)
# Current indices with aliases.
old_indices = self.get_indices_aliases()
# This is to start a reindexation in the background.
class ReindexThread(threading.Thread):
def __init__(self):
self.stdout = StringIO.StringIO()
super(ReindexThread, self).__init__()
def run(self):
management.call_command('reindex', stdout=self.stdout)
t = ReindexThread()
t.start()
# Wait for the reindex in the thread to flag the database.
# The database transaction isn't shared with the thread, so force the
# commit.
while t.is_alive() and not is_reindexing_amo():
connection._commit()
connection.clean_savepoints()
# We should still be able to search in the foreground while the reindex
# is being done in the background. We should also be able to index new
# documents, and they should not be lost.
old_addons_count = len(wanted)
while t.is_alive() and len(wanted) < old_addons_count + 3:
wanted.append(amo.tests.addon_factory())
connection._commit()
connection.clean_savepoints()
amo.search.get_es().refresh()
self.check_results(wanted)
if len(wanted) == old_addons_count:
raise AssertionError('Could not index objects in foreground while '
'reindexing in the background.')
t.join() # Wait for the thread to finish.
t.stdout.seek(0)
stdout = t.stdout.read()
assert 'Reindexation done' in stdout, stdout
# The reindexation is done, let's double check we have all our docs.
connection._commit()
connection.clean_savepoints()
amo.search.get_es().refresh()
self.check_results(wanted)
# New indices have been created, and aliases now point to them.
new_indices = self.get_indices_aliases()
eq_(len(old_indices), len(new_indices), (old_indices, new_indices))
assert new_indices != old_indices
def setUp(self):
super(TestIndexCommand, self).setUp()
if is_reindexing_amo():
unflag_reindexing_amo()
self.url = reverse('search.search')
# Any index created during the test will be deleted.
self.indices = call_es('_status').json()['indices'].keys()
def setUp(self):
super(TestIndexCommand, self).setUp()
if is_reindexing_amo():
unflag_reindexing_amo()
self.url = reverse('search.search')
# Any index created during the test will be deleted.
self.indices = call_es('_status').json()['indices'].keys()
def handle(self, *args, **kwargs):
"""Reindexing work.
Creates a Tasktree that creates new indexes
over the old ones so the search feature
works while the indexation occurs.
"""
force = kwargs.get('force', False)
if is_reindexing_amo() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
prefix = kwargs.get('prefix', '')
log('Starting the reindexation', stdout=self.stdout)
if kwargs.get('with_stats', False):
# Add the stats indexes back.
_ALIASES.update(_STATS_ALIASES)
if kwargs.get('wipe', False):
confirm = raw_input('Are you sure you want to wipe all AMO '
'Elasticsearch indexes? (yes/no): ')
while confirm not in ('yes', 'no'):
confirm = raw_input('Please enter either "yes" or "no": ')
if confirm == 'yes':
unflag_database(stdout=self.stdout)
for index in set(_ALIASES.values()):
requests.delete(url('/%s') % index)
else:
raise CommandError("Aborted.")
elif force:
unflag_database(stdout=self.stdout)
# Get list current aliases at /_aliases.
all_aliases = requests.get(url('/_aliases')).json()
# building the list of indexes
indexes = set([prefix + index for index in
_ALIASES.values()])
actions = []
def add_action(*elmt):
if elmt in actions:
return
actions.append(elmt)
all_aliases = all_aliases.items()
# creating a task tree
log('Building the task tree', stdout=self.stdout)
tree = TaskTree()
last_action = None
to_remove = []
# for each index, we create a new time-stamped index
for alias in indexes:
is_stats = 'stats' in alias
old_index = None
for aliased_index, alias_ in all_aliases:
if alias in alias_['aliases'].keys():
# mark the index to be removed later
old_index = aliased_index
to_remove.append(aliased_index)
# mark the alias to be removed as well
add_action('remove', aliased_index, alias)
# create a new index, using the alias name with a timestamp
new_index = timestamp_index(alias)
# if old_index is None that could mean it's a full index
# In that case we want to continue index in it
future_alias = url('/%s' % alias)
if requests.head(future_alias).status_code == 200:
old_index = alias
# flag the database
step1 = tree.add_task(flag_database,
args=[new_index, old_index, alias],
kwargs={'stdout': self.stdout})
step2 = step1.add_task(create_mapping,
args=[new_index, alias],
kwargs={'stdout': self.stdout})
step3 = step2.add_task(create_index,
args=[new_index, is_stats],
kwargs={'stdout': self.stdout})
last_action = step3
# adding new index to the alias
add_action('add', new_index, alias)
# Alias the new index and remove the old aliases, if any.
renaming_step = last_action.add_task(run_aliases_actions,
args=[actions],
kwargs={'stdout': self.stdout})
# unflag the database - there's no need to duplicate the
# indexing anymore
delete = renaming_step.add_task(unflag_database,
kwargs={'stdout': self.stdout})
# Delete the old indexes, if any
delete.add_task(delete_indexes,
args=[to_remove], kwargs={'stdout': self.stdout})
# let's do it
log('Running all indexation tasks', stdout=self.stdout)
os.environ['FORCE_INDEXING'] = '1'
try:
tree.apply_async()
time.sleep(10) # give celeryd some time to flag the DB
while is_reindexing_amo():
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(5)
finally:
del os.environ['FORCE_INDEXING']
sys.stdout.write('\n')
# let's return the /_aliases values
aliases = call_es('_aliases').json()
aliases = json.dumps(aliases, sort_keys=True, indent=4)
summary = _SUMMARY % (len(indexes), aliases)
log(summary, stdout=self.stdout)
def handle(self, *args, **kwargs):
"""Reindexing work.
Creates a Tasktree that creates new indexes
over the old ones so the search feature
works while the indexation occurs.
"""
force = kwargs.get('force', False)
if is_reindexing_amo() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
log('Starting the reindexation', stdout=self.stdout)
modules = ['addons']
if kwargs.get('with_stats', False):
modules.append('stats')
if kwargs.get('wipe', False):
confirm = raw_input('Are you sure you want to wipe all AMO '
'Elasticsearch indexes? (yes/no): ')
while confirm not in ('yes', 'no'):
confirm = raw_input('Please enter either "yes" or "no": ')
if confirm == 'yes':
unflag_database(stdout=self.stdout)
for index in set(MODULES[m].get_alias() for m in modules):
ES.indices.delete(index)
else:
raise CommandError("Aborted.")
elif force:
unflag_database(stdout=self.stdout)
alias_actions = []
def add_alias_action(action, index, alias):
action = {action: {'index': index, 'alias': alias}}
if action in alias_actions:
return
alias_actions.append(action)
# Creating a task tree.
log('Building the task tree', stdout=self.stdout)
tree = TaskTree()
last_action = None
to_remove = []
# For each index, we create a new time-stamped index.
for module in modules:
old_index = None
alias = MODULES[module].get_alias()
olds = ES.indices.get_aliases(alias, ignore=404)
for old_index in olds:
# Mark the index to be removed later.
to_remove.append(old_index)
# Mark the alias to be removed from that index.
add_alias_action('remove', old_index, alias)
# Create a new index, using the alias name with a timestamp.
new_index = timestamp_index(alias)
# If old_index is None that could mean it's a full index.
# In that case we want to continue index in it.
if ES.indices.exists(alias):
old_index = alias
# Flag the database.
step1 = tree.add_task(flag_database,
args=[new_index, old_index, alias])
step2 = step1.add_task(create_new_index, args=[module, new_index])
step3 = step2.add_task(index_data, args=[module, new_index])
last_action = step3
# Adding new index to the alias.
add_alias_action('add', new_index, alias)
# Alias the new index and remove the old aliases, if any.
renaming_step = last_action.add_task(update_aliases,
args=[alias_actions])
# Unflag the database - there's no need to duplicate the
# indexing anymore.
delete = renaming_step.add_task(unflag_database)
# Delete the old indexes, if any.
if to_remove:
delete.add_task(delete_indexes, args=[to_remove])
# Let's do it.
log('Running all indexation tasks', stdout=self.stdout)
os.environ['FORCE_INDEXING'] = '1'
try:
tree.apply_async()
if not getattr(settings, 'CELERY_ALWAYS_EAGER', False):
time.sleep(10) # give celeryd some time to flag the DB
while is_reindexing_amo():
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(5)
finally:
del os.environ['FORCE_INDEXING']
sys.stdout.write('\n')
# Let's return the /_aliases values.
aliases = ES.indices.get_aliases()
aliases = json.dumps(aliases, sort_keys=True, indent=4)
summary = _SUMMARY % (len(modules), aliases)
log(summary, stdout=self.stdout)
def handle(self, *args, **kwargs):
"""Reindexing work.
Creates a Tasktree that creates new indexes
over the old ones so the search feature
works while the indexation occurs.
"""
force = kwargs.get('force', False)
if is_reindexing_amo() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
log('Starting the reindexation', stdout=self.stdout)
modules = ['addons']
if kwargs.get('with_stats', False):
modules.append('stats')
if kwargs.get('wipe', False):
confirm = raw_input('Are you sure you want to wipe all AMO '
'Elasticsearch indexes? (yes/no): ')
while confirm not in ('yes', 'no'):
confirm = raw_input('Please enter either "yes" or "no": ')
if confirm == 'yes':
unflag_database(stdout=self.stdout)
for index in set(MODULES[m].get_alias() for m in modules):
ES.indices.delete(index, ignore=404)
else:
raise CommandError("Aborted.")
elif force:
unflag_database(stdout=self.stdout)
alias_actions = []
def add_alias_action(action, index, alias):
action = {action: {'index': index, 'alias': alias}}
if action in alias_actions:
return
alias_actions.append(action)
# Creating a task tree.
log('Building the task tree', stdout=self.stdout)
tree = TaskTree()
last_action = None
to_remove = []
# For each index, we create a new time-stamped index.
for module in modules:
old_index = None
alias = MODULES[module].get_alias()
olds = ES.indices.get_aliases(alias, ignore=404)
for old_index in olds:
# Mark the index to be removed later.
to_remove.append(old_index)
# Mark the alias to be removed from that index.
add_alias_action('remove', old_index, alias)
# Create a new index, using the alias name with a timestamp.
new_index = timestamp_index(alias)
# If old_index is None that could mean it's a full index.
# In that case we want to continue index in it.
if ES.indices.exists(alias):
old_index = alias
# Flag the database.
step1 = tree.add_task(flag_database,
args=[new_index, old_index, alias])
step2 = step1.add_task(create_new_index,
args=[module, new_index])
step3 = step2.add_task(index_data,
args=[module, new_index])
last_action = step3
# Adding new index to the alias.
add_alias_action('add', new_index, alias)
# Alias the new index and remove the old aliases, if any.
renaming_step = last_action.add_task(update_aliases,
args=[alias_actions])
# Unflag the database - there's no need to duplicate the
# indexing anymore.
delete = renaming_step.add_task(unflag_database)
# Delete the old indexes, if any.
if to_remove:
delete.add_task(delete_indexes, args=[to_remove])
# Let's do it.
log('Running all indexation tasks', stdout=self.stdout)
os.environ['FORCE_INDEXING'] = '1'
# This is a bit convoluted, and more complicated than simply providing
# the soft and hard time limits on the @task decorator. But we're not
# using the @task decorator here, but a decorator from celery_tasktree.
if not getattr(settings, 'CELERY_ALWAYS_EAGER', False):
control.time_limit('lib.es.management.commands.reindex.index_data',
soft=time_limits['soft'],
hard=time_limits['hard'])
try:
tree.apply_async()
if not getattr(settings, 'CELERY_ALWAYS_EAGER', False):
time.sleep(10) # give celeryd some time to flag the DB
while is_reindexing_amo():
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(5)
finally:
del os.environ['FORCE_INDEXING']
sys.stdout.write('\n')
# Let's return the /_aliases values.
aliases = ES.indices.get_aliases()
aliases = json.dumps(aliases, sort_keys=True, indent=4)
summary = _SUMMARY % (len(modules), aliases)
log(summary, stdout=self.stdout)
def handle(self, *args, **kwargs):
"""Reindexing work.
Creates a Tasktree that creates new indexes
over the old ones so the search feature
works while the indexation occurs.
"""
if django_settings.MARKETPLACE:
raise CommandError('This command affects the AMO ES indexes and '
'can only be run from AMO.')
force = kwargs.get('force', False)
if is_reindexing_amo() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
prefix = kwargs.get('prefix', '')
log('Starting the reindexation', stdout=self.stdout)
if kwargs.get('with_stats', False):
# Add the stats indexes back.
_ALIASES.update(_STATS_ALIASES)
if kwargs.get('wipe', False):
confirm = raw_input('Are you sure you want to wipe all AMO '
'Elasticsearch indexes? (yes/no): ')
while confirm not in ('yes', 'no'):
confirm = raw_input('Please enter either "yes" or "no": ')
if confirm == 'yes':
unflag_database(stdout=self.stdout)
for index in set(_ALIASES.values()):
requests.delete(url('/%s') % index)
else:
raise CommandError("Aborted.")
elif force:
unflag_database(stdout=self.stdout)
# Get list current aliases at /_aliases.
all_aliases = requests.get(url('/_aliases')).json()
# building the list of indexes
indexes = set([prefix + index for index in _ALIASES.values()])
actions = []
def add_action(*elmt):
if elmt in actions:
return
actions.append(elmt)
all_aliases = all_aliases.items()
# creating a task tree
log('Building the task tree', stdout=self.stdout)
tree = TaskTree()
last_action = None
to_remove = []
# for each index, we create a new time-stamped index
for alias in indexes:
is_stats = 'stats' in alias
old_index = None
for aliased_index, alias_ in all_aliases:
if alias in alias_['aliases'].keys():
# mark the index to be removed later
old_index = aliased_index
to_remove.append(aliased_index)
# mark the alias to be removed as well
add_action('remove', aliased_index, alias)
# create a new index, using the alias name with a timestamp
new_index = timestamp_index(alias)
# if old_index is None that could mean it's a full index
# In that case we want to continue index in it
future_alias = url('/%s' % alias)
if requests.head(future_alias).status_code == 200:
old_index = alias
# flag the database
step1 = tree.add_task(flag_database,
args=[new_index, old_index, alias],
kwargs={'stdout': self.stdout})
step2 = step1.add_task(create_mapping,
args=[new_index, alias],
kwargs={'stdout': self.stdout})
step3 = step2.add_task(create_index,
args=[new_index, is_stats],
kwargs={'stdout': self.stdout})
last_action = step3
# adding new index to the alias
add_action('add', new_index, alias)
# Alias the new index and remove the old aliases, if any.
renaming_step = last_action.add_task(run_aliases_actions,
args=[actions],
kwargs={'stdout': self.stdout})
# unflag the database - there's no need to duplicate the
# indexing anymore
delete = renaming_step.add_task(unflag_database,
kwargs={'stdout': self.stdout})
# Delete the old indexes, if any
delete.add_task(delete_indexes,
args=[to_remove],
kwargs={'stdout': self.stdout})
# let's do it
log('Running all indexation tasks', stdout=self.stdout)
os.environ['FORCE_INDEXING'] = '1'
try:
tree.apply_async()
time.sleep(10) # give celeryd some time to flag the DB
while is_reindexing_amo():
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(5)
finally:
del os.environ['FORCE_INDEXING']
sys.stdout.write('\n')
# let's return the /_aliases values
aliases = call_es('_aliases').json()
aliases = json.dumps(aliases, sort_keys=True, indent=4)
summary = _SUMMARY % (len(indexes), aliases)
log(summary, stdout=self.stdout)
