def handle(self, *args, **kwargs):
"""Set up reindexing tasks.
Creates a Tasktree that creates a new indexes and indexes all objects,
then points the alias to this new index when finished.
"""
index_choice = kwargs.get('index', None)
prefix = kwargs.get('prefix', '')
force = kwargs.get('force', False)
if index_choice:
# If we only want to reindex a subset of indexes.
INDEXES = INDEX_CHOICES.get(index_choice, None)
if INDEXES is None:
raise CommandError(
'Incorrect index name specified. '
'Choose one of: %s' % ', '.join(INDEX_CHOICES.keys()))
else:
INDEXES = INDEXERS
if Reindexing.is_reindexing() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
elif force:
Reindexing.unflag_reindexing()
for INDEXER in INDEXES:
index_name = INDEXER.get_mapping_type_name()
chunk_size = INDEXER.chunk_size
alias = ES_INDEXES[index_name]
chunks, total = chunk_indexing(INDEXER, chunk_size)
if not total:
_print('No items to queue.', alias)
else:
total_chunks = int(ceil(total / float(chunk_size)))
_print('Indexing {total} items into {n} chunks of size {size}'
.format(total=total, n=total_chunks, size=chunk_size),
alias)
# Get the old index if it exists.
try:
aliases = ES.indices.get_alias(name=alias).keys()
except elasticsearch.NotFoundError:
aliases = []
old_index = aliases[0] if aliases else None
# Create a new index, using the index name with a timestamp.
new_index = timestamp_index(prefix + alias)
# See how the index is currently configured.
if old_index:
try:
s = (ES.indices.get_settings(index=old_index).get(
old_index, {}).get('settings', {}))
except elasticsearch.NotFoundError:
s = {}
else:
s = {}
num_replicas = s.get('number_of_replicas',
settings.ES_DEFAULT_NUM_REPLICAS)
num_shards = s.get('number_of_shards',
settings.ES_DEFAULT_NUM_SHARDS)
pre_task = pre_index.si(new_index, old_index, alias, index_name, {
'analysis': INDEXER.get_analysis(),
'number_of_replicas': 0,
'number_of_shards': num_shards,
'store.compress.tv': True,
'store.compress.stored': True,
'refresh_interval': '-1'})
post_task = post_index.si(new_index, old_index, alias, index_name,
{'number_of_replicas': num_replicas,
'refresh_interval': '5s'})
# Ship it.
if not total:
# If there's no data we still create the index and alias.
chain(pre_task, post_task).apply_async()
else:
index_tasks = [run_indexing.si(new_index, index_name, chunk)
for chunk in chunks]
if settings.CELERY_ALWAYS_EAGER:
# Eager mode and chords don't get along. So we serialize
# the tasks as a workaround.
index_tasks.insert(0, pre_task)
index_tasks.append(post_task)
chain(*index_tasks).apply_async()
else:
chain(pre_task, chord(header=index_tasks,
body=post_task)).apply_async()
_print('New index and indexing tasks all queued up.')
def test_is_reindexing(self):
assert not Reindexing.is_reindexing()
Reindexing.objects.create(alias='foo', new_index='bar',
old_index='baz')
assert Reindexing.is_reindexing()
def handle(self, *args, **kwargs):
"""Set up reindexing tasks.
Creates a Tasktree that creates a new indexes and indexes all objects,
then points the alias to this new index when finished.
"""
index_choice = kwargs.get('index', None)
prefix = kwargs.get('prefix', '')
force = kwargs.get('force', False)
if index_choice:
# If we only want to reindex a subset of indexes.
INDEXES = INDEX_CHOICES.get(index_choice, None)
if INDEXES is None:
raise CommandError('Incorrect index name specified. '
'Choose one of: %s' %
', '.join(INDEX_CHOICES.keys()))
else:
INDEXES = INDEXERS
if Reindexing.is_reindexing() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
elif force:
Reindexing.unflag_reindexing()
for INDEXER in INDEXES:
index_name = INDEXER.get_mapping_type_name()
chunk_size = INDEXER.chunk_size
alias = ES_INDEXES[index_name]
chunks, total = chunk_indexing(INDEXER, chunk_size)
if not total:
_print('No items to queue.', alias)
else:
total_chunks = int(ceil(total / float(chunk_size)))
_print(
'Indexing {total} items into {n} chunks of size {size}'.
format(total=total, n=total_chunks,
size=chunk_size), alias)
# Get the old index if it exists.
try:
aliases = ES.indices.get_alias(name=alias).keys()
except elasticsearch.NotFoundError:
aliases = []
old_index = aliases[0] if aliases else None
# Create a new index, using the index name with a timestamp.
new_index = timestamp_index(prefix + alias)
# See how the index is currently configured.
if old_index:
try:
s = (ES.indices.get_settings(index=old_index).get(
old_index, {}).get('settings', {}))
except elasticsearch.NotFoundError:
s = {}
else:
s = {}
num_replicas = s.get('number_of_replicas',
settings.ES_DEFAULT_NUM_REPLICAS)
num_shards = s.get('number_of_shards',
settings.ES_DEFAULT_NUM_SHARDS)
pre_task = pre_index.si(
new_index, old_index, alias, index_name, {
'analysis': INDEXER.get_analysis(),
'number_of_replicas': 0,
'number_of_shards': num_shards,
'store.compress.tv': True,
'store.compress.stored': True,
'refresh_interval': '-1'
})
post_task = post_index.si(new_index, old_index, alias, index_name,
{
'number_of_replicas': num_replicas,
'refresh_interval': '5s'
})
# Ship it.
if not total:
# If there's no data we still create the index and alias.
chain(pre_task, post_task).apply_async()
else:
index_tasks = [
run_indexing.si(new_index, index_name, chunk)
for chunk in chunks
]
if settings.CELERY_ALWAYS_EAGER:
# Eager mode and chords don't get along. So we serialize
# the tasks as a workaround.
index_tasks.insert(0, pre_task)
index_tasks.append(post_task)
chain(*index_tasks).apply_async()
else:
chain(pre_task, chord(header=index_tasks,
body=post_task)).apply_async()
_print('New index and indexing tasks all queued up.')
def handle(self, *args, **kwargs):
"""Set up reindexing tasks.
Creates a Tasktree that creates a new indexes and indexes all objects,
then points the alias to this new index when finished.
"""
global INDEXES
index_choice = kwargs.get('index', None)
prefix = kwargs.get('prefix', '')
force = kwargs.get('force', False)
if index_choice:
# If we only want to reindex a subset of indexes.
INDEXES = INDEX_DICT.get(index_choice, INDEXES)
if Reindexing.is_reindexing() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
elif force:
Reindexing.unflag_reindexing()
for ALIAS, INDEXER, CHUNK_SIZE in INDEXES:
chunks, total = chunk_indexing(INDEXER, CHUNK_SIZE)
if not total:
_print('No items to queue.', ALIAS)
else:
total_chunks = int(ceil(total / float(CHUNK_SIZE)))
_print('Indexing {total} items into {n} chunks of size {size}'
.format(total=total, n=total_chunks, size=CHUNK_SIZE),
ALIAS)
# Get the old index if it exists.
try:
aliases = ES.indices.get_alias(name=ALIAS).keys()
except elasticsearch.NotFoundError:
aliases = []
old_index = aliases[0] if aliases else None
# Create a new index, using the index name with a timestamp.
new_index = timestamp_index(prefix + ALIAS)
# See how the index is currently configured.
if old_index:
try:
s = (ES.indices.get_settings(index=old_index).get(
old_index, {}).get('settings', {}))
except elasticsearch.NotFoundError:
s = {}
else:
s = {}
num_replicas = s.get('number_of_replicas',
settings.ES_DEFAULT_NUM_REPLICAS)
num_shards = s.get('number_of_shards',
settings.ES_DEFAULT_NUM_SHARDS)
pre_task = pre_index.si(new_index, old_index, ALIAS, INDEXER, {
'analysis': INDEXER.get_analysis(),
'number_of_replicas': 0,
'number_of_shards': num_shards,
'store.compress.tv': True,
'store.compress.stored': True,
'refresh_interval': '-1'})
post_task = post_index.si(new_index, old_index, ALIAS, INDEXER, {
'number_of_replicas': num_replicas,
'refresh_interval': '5s'})
# Ship it.
if not total:
# If there's no data we still create the index and alias.
chain(pre_task, post_task).apply_async()
else:
index_tasks = [run_indexing.si(new_index, INDEXER, chunk)
for chunk in chunks]
chain(pre_task,
chord(header=index_tasks, body=post_task)).apply_async()
_print('New index and indexing tasks all queued up.')
def handle(self, *args, **kwargs):
"""Set up reindexing tasks.
Creates a Tasktree that creates a new indexes and indexes all objects,
then points the alias to this new index when finished.
"""
global INDEXES
index_choice = kwargs.get('index', None)
prefix = kwargs.get('prefix', '')
force = kwargs.get('force', False)
if index_choice:
# If we only want to reindex a subset of indexes.
INDEXES = INDEX_DICT.get(index_choice, INDEXES)
if Reindexing.is_reindexing() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
elif force:
unflag_database()
chain = None
old_indexes = []
for ALIAS, INDEXER, CHUNK_SIZE in INDEXES:
# Get the old index if it exists.
try:
aliases = ES.indices.get_alias(name=ALIAS).keys()
except elasticsearch.NotFoundError:
aliases = []
old_index = aliases[0] if aliases else None
old_indexes.append(old_index)
# Create a new index, using the index name with a timestamp.
new_index = timestamp_index(prefix + ALIAS)
# See how the index is currently configured.
if old_index:
try:
s = (ES.indices.get_settings(index=old_index).get(
old_index, {}).get('settings', {}))
except elasticsearch.NotFoundError:
s = {}
else:
s = {}
num_replicas = s.get('number_of_replicas',
settings.ES_DEFAULT_NUM_REPLICAS)
num_shards = s.get('number_of_shards',
settings.ES_DEFAULT_NUM_SHARDS)
# Flag the database to mark as currently indexing.
if not chain:
chain = flag_database.si(new_index, old_index, ALIAS)
else:
chain |= flag_database.si(new_index, old_index, ALIAS)
# Create the indexes and mappings.
# Note: We set num_replicas=0 here to lower load while re-indexing.
# In later step we increase it which results in more efficient bulk
# copy in ES. For ES < 0.90 we manually enable compression.
chain |= create_index.si(new_index, ALIAS, INDEXER, {
'analysis': INDEXER.get_analysis(),
'number_of_replicas': 0, 'number_of_shards': num_shards,
'store.compress.tv': True, 'store.compress.stored': True,
'refresh_interval': '-1'})
# Index all the things!
chain |= run_indexing.si(new_index, INDEXER, CHUNK_SIZE)
# After indexing we optimize the index, adjust settings, and point
# alias to the new index.
chain |= update_alias.si(new_index, old_index, ALIAS, {
'number_of_replicas': num_replicas, 'refresh_interval': '5s'})
# Unflag the database to mark as done indexing.
chain |= unflag_database.si()
# Delete the old index, if any.
for old_index in old_indexes:
if old_index:
chain |= delete_index.si(old_index)
# All done!
chain |= output_summary.si()
# Ship it.
self.stdout.write('\nNew index and indexing tasks all queued up.\n')
os.environ['FORCE_INDEXING'] = '1'
try:
chain.apply_async()
finally:
del os.environ['FORCE_INDEXING']
def handle(self, *args, **kwargs):
"""Set up reindexing tasks.
Creates a Tasktree that creates a new indexes and indexes all objects,
then points the alias to this new index when finished.
"""
global INDEXES
index_choice = kwargs.get('index', None)
prefix = kwargs.get('prefix', '')
force = kwargs.get('force', False)
if index_choice:
# If we only want to reindex a subset of indexes.
INDEXES = INDEX_DICT.get(index_choice, INDEXES)
if Reindexing.is_reindexing() and not force:
raise CommandError('Indexation already occuring - use --force to '
'bypass')
elif force:
Reindexing.unflag_reindexing()
for ALIAS, INDEXER, CHUNK_SIZE in INDEXES:
chunks, total = chunk_indexing(INDEXER, CHUNK_SIZE)
if not total:
_print('No items to queue.', ALIAS)
else:
total_chunks = int(ceil(total / float(CHUNK_SIZE)))
_print(
'Indexing {total} items into {n} chunks of size {size}'.
format(total=total, n=total_chunks,
size=CHUNK_SIZE), ALIAS)
# Get the old index if it exists.
try:
aliases = ES.indices.get_alias(name=ALIAS).keys()
except elasticsearch.NotFoundError:
aliases = []
old_index = aliases[0] if aliases else None
# Create a new index, using the index name with a timestamp.
new_index = timestamp_index(prefix + ALIAS)
# See how the index is currently configured.
if old_index:
try:
s = (ES.indices.get_settings(index=old_index).get(
old_index, {}).get('settings', {}))
except elasticsearch.NotFoundError:
s = {}
else:
s = {}
num_replicas = s.get('number_of_replicas',
settings.ES_DEFAULT_NUM_REPLICAS)
num_shards = s.get('number_of_shards',
settings.ES_DEFAULT_NUM_SHARDS)
pre_task = pre_index.si(
new_index, old_index, ALIAS, INDEXER, {
'analysis': INDEXER.get_analysis(),
'number_of_replicas': 0,
'number_of_shards': num_shards,
'store.compress.tv': True,
'store.compress.stored': True,
'refresh_interval': '-1'
})
post_task = post_index.si(new_index, old_index, ALIAS, INDEXER, {
'number_of_replicas': num_replicas,
'refresh_interval': '5s'
})
# Ship it.
if not total:
# If there's no data we still create the index and alias.
chain(pre_task, post_task).apply_async()
else:
index_tasks = [
run_indexing.si(new_index, INDEXER, chunk)
for chunk in chunks
]
chain(pre_task, chord(header=index_tasks,
body=post_task)).apply_async()
_print('New index and indexing tasks all queued up.')