本文整理汇总了Python中questions.models.Question.bulk_index方法的典型用法代码示例。如果您正苦于以下问题：Python Question.bulk_index方法的具体用法？Python Question.bulk_index怎么用？Python Question.bulk_index使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类questions.models.Question的用法示例。
在下文中一共展示了Question.bulk_index方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: auto_lock_old_questions
# 需要导入模块: from questions.models import Question [as 别名]
# 或者: from questions.models.Question import bulk_index [as 别名]
def auto_lock_old_questions():
"""Locks all questions that were created over 180 days ago"""
# Set up logging so it doesn't send Ricky email.
logging.basicConfig(level=logging.ERROR)
# Get a list of ids of questions we're going to go change. We need
# a list of ids so that we can feed it to the update, but then
# also know what we need to update in the index.
days_180 = datetime.now() - timedelta(days=180)
q_ids = list(Question.objects.filter(is_locked=False)
.filter(created__lte=days_180)
.values_list('id', flat=True))
if q_ids:
log.info('Updating %d questions', len(q_ids))
sql = """
UPDATE questions_question
SET is_locked = 1
WHERE id IN (%s)
""" % ','.join(map(str, q_ids))
cursor = connection.cursor()
cursor.execute(sql)
transaction.commit_unless_managed()
if settings.ES_LIVE_INDEXING:
try:
# So... the first time this runs, it'll handle 160K
# questions or so which stresses everything. Thus we
# do it in chunks because otherwise this won't work.
#
# After we've done this for the first time, we can nix
# the chunking code.
from search.utils import chunked
for chunk in chunked(q_ids, 100):
# Fetch all the documents we need to update.
es_docs = get_documents(Question, chunk)
log.info('Updating %d index documents', len(es_docs))
documents = []
# For each document, update the data and stick it
# back in the index.
for doc in es_docs:
doc[u'question_is_locked'] = True
documents.append(doc)
Question.bulk_index(documents, id_field='document_id')
except ES_EXCEPTIONS:
# Something happened with ES, so let's push index
# updating into an index_task which retries when it
# fails because of ES issues.
index_task.delay(Question, q_ids)