我有一个由 SQLAlchemy ORM 生成的查询。它应该检索特定类(class)的 stream_items，以及它们的所有部分——资源、内容文本 block 等，以及发布它们的用户。然而，这个查询似乎非常慢，在我们的生产数据库上花费了几分钟时间，数据库中有 20,000 名左右的用户，类(class)有 25 个左右的 stream_items，每个 stream_item 有几个内容文本 block 。请注意，数据库中除了用户之外的任何其他记录都很少，因为我们导入了一堆用户但内容很少。
编辑:请注意，每个对象 ID 都是 franklin_object 表的外键。
我尝试查看查询，并确定了几个令人不安的位点(查看 EXPLAIN 输出)
但是，我真的不知道该怎么办，尤其是后两个问题。
这里是查询:
SELECT stream_item.id AS stream_item_id,
franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
stream_item.parent_id AS stream_item_parent_id,
stream_item.shown_at AS stream_item_shown_at,
stream_item.author_id AS stream_item_author_id,
stream_item.stream_sort_at AS stream_item_stream_sort_at,
stream_item.PUBLIC AS stream_item_public,
stream_item.created_at AS stream_item_created_at,
stream_item.updated_at AS stream_item_updated_at,
anon_1.content_text_block_text AS anon_1_content_text_block_text,
anon_2.resource_id AS anon_2_resource_id,
anon_2.franklin_object_id AS anon_2_franklin_object_id,
anon_2.franklin_object_type AS anon_2_franklin_object_type,
anon_2.franklin_object_uuid AS anon_2_franklin_object_uuid,
anon_2.resource_top_parent_resource AS anon_2_resource_top_parent_resource,
anon_2.resource_top_parent_id AS anon_2_resource_top_parent_id,
anon_2.resource_title AS anon_2_resource_title,
anon_2.resource_url AS anon_2_resource_url,
anon_2.resource_image AS anon_2_resource_image,
anon_2.resource_created_at AS anon_2_resource_created_at,
anon_2.resource_updated_at AS anon_2_resource_updated_at,
franklin_object_1.id AS franklin_object_1_id,
franklin_object_1.type AS franklin_object_1_type,
franklin_object_1.uuid AS franklin_object_1_uuid,
anon_1.content_text_block_id AS anon_1_content_text_block_id,
anon_1.franklin_object_id AS anon_1_franklin_object_id,
anon_1.franklin_object_type AS anon_1_franklin_object_type,
anon_1.franklin_object_uuid AS anon_1_franklin_object_uuid,
anon_1.content_text_block_position AS anon_1_content_text_block_position,
anon_1.content_text_block_franklin_object_id AS anon_1_content_text_block_franklin_object_id,
anon_1.content_text_block_created_at AS anon_1_content_text_block_created_at,
anon_1.content_text_block_updated_at AS anon_1_content_text_block_updated_at,
anon_3.user_password AS anon_3_user_password,
anon_3.user_auth_token AS anon_3_user_auth_token,
anon_3.user_id AS anon_3_user_id,
anon_3.franklin_object_id AS anon_3_franklin_object_id,
anon_3.franklin_object_type AS anon_3_franklin_object_type,
anon_3.franklin_object_uuid AS anon_3_franklin_object_uuid,
anon_3.user_email AS anon_3_user_email,
anon_3.user_auth_token_expiration AS anon_3_user_auth_token_expiration,
anon_3.user_active AS anon_3_user_active,
anon_3.user_activation_token AS anon_3_user_activation_token,
anon_3.user_first_name AS anon_3_user_first_name,
anon_3.user_last_name AS anon_3_user_last_name,
anon_3.user_image AS anon_3_user_image,
anon_3.user_bio AS anon_3_user_bio,
anon_3.user_aspirations AS anon_3_user_aspirations,
anon_3.user_website AS anon_3_user_website,
anon_3.user_resume AS anon_3_user_resume,
anon_3.user_resume_name AS anon_3_user_resume_name,
anon_3.user_primary_role AS anon_3_user_primary_role,
anon_3.user_institution_id AS anon_3_user_institution_id,
anon_3.user_birth_date AS anon_3_user_birth_date,
anon_3.user_gender AS anon_3_user_gender,
anon_3.user_graduation_year AS anon_3_user_graduation_year,
anon_3.user_complete AS anon_3_user_complete,
anon_3.user_masthead_y_position AS anon_3_user_masthead_y_position,
anon_3.user_masthead AS anon_3_user_masthead,
anon_3.user_fb_access_token AS anon_3_user_fb_access_token,
anon_3.user_fb_user_id AS anon_3_user_fb_user_id,
anon_3.user_location AS anon_3_user_location,
anon_3.user_created_at AS anon_3_user_created_at,
anon_3.user_updated_at AS anon_3_user_updated_at,
anon_4.content_text_block_text AS anon_4_content_text_block_text,
anon_4.content_text_block_id AS anon_4_content_text_block_id,
anon_4.franklin_object_id AS anon_4_franklin_object_id,
anon_4.franklin_object_type AS anon_4_franklin_object_type,
anon_4.franklin_object_uuid AS anon_4_franklin_object_uuid,
anon_4.content_text_block_position AS anon_4_content_text_block_position,
anon_4.content_text_block_franklin_object_id AS anon_4_content_text_block_franklin_object_id,
anon_4.content_text_block_created_at AS anon_4_content_text_block_created_at,
anon_4.content_text_block_updated_at AS anon_4_content_text_block_updated_at,
anon_5.user_password AS anon_5_user_password,
anon_5.user_auth_token AS anon_5_user_auth_token,
anon_5.user_id AS anon_5_user_id,
anon_5.franklin_object_id AS anon_5_franklin_object_id,
anon_5.franklin_object_type AS anon_5_franklin_object_type,
anon_5.franklin_object_uuid AS anon_5_franklin_object_uuid,
anon_5.user_email AS anon_5_user_email,
anon_5.user_auth_token_expiration AS anon_5_user_auth_token_expiration,
anon_5.user_active AS anon_5_user_active,
anon_5.user_activation_token AS anon_5_user_activation_token,
anon_5.user_first_name AS anon_5_user_first_name,
anon_5.user_last_name AS anon_5_user_last_name,
anon_5.user_image AS anon_5_user_image,
anon_5.user_bio AS anon_5_user_bio,
anon_5.user_aspirations AS anon_5_user_aspirations,
anon_5.user_website AS anon_5_user_website,
anon_5.user_resume AS anon_5_user_resume,
anon_5.user_resume_name AS anon_5_user_resume_name,
anon_5.user_primary_role AS anon_5_user_primary_role,
anon_5.user_institution_id AS anon_5_user_institution_id,
anon_5.user_birth_date AS anon_5_user_birth_date,
anon_5.user_gender AS anon_5_user_gender,
anon_5.user_graduation_year AS anon_5_user_graduation_year,
anon_5.user_complete AS anon_5_user_complete,
anon_5.user_masthead_y_position AS anon_5_user_masthead_y_position,
anon_5.user_masthead AS anon_5_user_masthead,
anon_5.user_fb_access_token AS anon_5_user_fb_access_token,
anon_5.user_fb_user_id AS anon_5_user_fb_user_id,
anon_5.user_location AS anon_5_user_location,
anon_5.user_created_at AS anon_5_user_created_at,
anon_5.user_updated_at AS anon_5_user_updated_at,
anon_6.stream_item_id AS anon_6_stream_item_id,
anon_6.franklin_object_id AS anon_6_franklin_object_id,
anon_6.franklin_object_type AS anon_6_franklin_object_type,
anon_6.franklin_object_uuid AS anon_6_franklin_object_uuid,
anon_6.stream_item_parent_id AS anon_6_stream_item_parent_id,
anon_6.stream_item_shown_at AS anon_6_stream_item_shown_at,
anon_6.stream_item_author_id AS anon_6_stream_item_author_id,
anon_6.stream_item_stream_sort_at AS anon_6_stream_item_stream_sort_at,
anon_6.stream_item_public AS anon_6_stream_item_public,
anon_6.stream_item_created_at AS anon_6_stream_item_created_at,
anon_6.stream_item_updated_at AS anon_6_stream_item_updated_at
FROM franklin_object
INNER JOIN stream_item
ON franklin_object.id = stream_item.id
INNER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
content_text_block.id AS content_text_block_id,
content_text_block.text AS content_text_block_text,
content_text_block.position AS content_text_block_position,
content_text_block.franklin_object_id AS content_text_block_franklin_object_id,
content_text_block.created_at AS content_text_block_created_at,
content_text_block.updated_at AS content_text_block_updated_at
FROM franklin_object
INNER JOIN content_text_block
ON franklin_object.id = content_text_block.id) AS anon_1
ON stream_item.id = anon_1.content_text_block_franklin_object_id
LEFT OUTER JOIN contents_resources AS contents_resources_1
ON anon_1.content_text_block_id = contents_resources_1.content_id
LEFT OUTER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
resource.id AS resource_id,
resource.top_parent_resource AS resource_top_parent_resource,
resource.top_parent_id AS resource_top_parent_id,
resource.title AS resource_title,
resource.url AS resource_url,
resource.image AS resource_image,
resource.created_at AS resource_created_at,
resource.updated_at AS resource_updated_at
FROM franklin_object
INNER JOIN resource
ON franklin_object.id = resource.id) AS anon_2
ON anon_2.resource_id = contents_resources_1.resource_id
LEFT OUTER JOIN contents_franklin_objects AS contents_franklin_objects_1
ON anon_1.content_text_block_id = contents_franklin_objects_1.content_id
LEFT OUTER JOIN franklin_object AS franklin_object_1
ON franklin_object_1.id = contents_franklin_objects_1.franklin_object_id
LEFT OUTER JOIN likers AS likers_1
ON stream_item.id = likers_1.post_id
LEFT OUTER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
USER.id AS user_id,
USER.email AS user_email,
USER.password AS user_password,
USER.auth_token AS user_auth_token,
USER.auth_token_expiration AS user_auth_token_expiration,
USER.active AS user_active,
USER.activation_token AS user_activation_token,
USER.first_name AS user_first_name,
USER.last_name AS user_last_name,
USER.image AS user_image,
USER.bio AS user_bio,
USER.aspirations AS user_aspirations,
USER.website AS user_website,
USER.resume AS user_resume,
USER.resume_name AS user_resume_name,
USER.primary_role AS user_primary_role,
USER.institution_id AS user_institution_id,
USER.birth_date AS user_birth_date,
USER.gender AS user_gender,
USER.graduation_year AS user_graduation_year,
USER.complete AS user_complete,
USER.masthead_y_position AS user_masthead_y_position,
USER.masthead AS user_masthead,
USER.fb_access_token AS user_fb_access_token,
USER.fb_user_id AS user_fb_user_id,
USER.location AS user_location,
USER.created_at AS user_created_at,
USER.updated_at AS user_updated_at
FROM franklin_object
INNER JOIN USER
ON franklin_object.id = USER.id) AS anon_3
ON anon_3.user_id = likers_1.user_id
LEFT OUTER JOIN contents_franklin_objects AS contents_franklin_objects_2
ON franklin_object.id = contents_franklin_objects_2.franklin_object_id
LEFT OUTER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
content_text_block.id AS content_text_block_id,
content_text_block.text AS content_text_block_text,
content_text_block.position AS content_text_block_position,
content_text_block.franklin_object_id AS content_text_block_franklin_object_id,
content_text_block.created_at AS content_text_block_created_at,
content_text_block.updated_at AS content_text_block_updated_at
FROM franklin_object
INNER JOIN content_text_block
ON franklin_object.id = content_text_block.id) AS anon_4
ON anon_4.content_text_block_id = contents_franklin_objects_2.content_id
LEFT OUTER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
stream_item.id AS stream_item_id,
stream_item.parent_id AS stream_item_parent_id,
stream_item.shown_at AS stream_item_shown_at,
stream_item.author_id AS stream_item_author_id,
stream_item.stream_sort_at AS stream_item_stream_sort_at,
stream_item.PUBLIC AS stream_item_public,
stream_item.created_at AS stream_item_created_at,
stream_item.updated_at AS stream_item_updated_at
FROM franklin_object
INNER JOIN stream_item
ON franklin_object.id = stream_item.id) AS anon_6
ON anon_6.stream_item_parent_id = franklin_object.id
LEFT OUTER JOIN likers AS likers_2
ON anon_6.stream_item_id = likers_2.post_id
LEFT OUTER JOIN (SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
USER.id AS user_id,
USER.email AS user_email,
USER.password AS user_password,
USER.auth_token AS user_auth_token,
USER.auth_token_expiration AS user_auth_token_expiration,
USER.active AS user_active,
USER.activation_token AS user_activation_token,
USER.first_name AS user_first_name,
USER.last_name AS user_last_name,
USER.image AS user_image,
USER.bio AS user_bio,
USER.aspirations AS user_aspirations,
USER.website AS user_website,
USER.resume AS user_resume,
USER.resume_name AS user_resume_name,
USER.primary_role AS user_primary_role,
USER.institution_id AS user_institution_id,
USER.birth_date AS user_birth_date,
USER.gender AS user_gender,
USER.graduation_year AS user_graduation_year,
USER.complete AS user_complete,
USER.masthead_y_position AS user_masthead_y_position,
USER.masthead AS user_masthead,
USER.fb_access_token AS user_fb_access_token,
USER.fb_user_id AS user_fb_user_id,
USER.location AS user_location,
USER.created_at AS user_created_at,
USER.updated_at AS user_updated_at
FROM franklin_object
INNER JOIN USER
ON franklin_object.id = USER.id) AS anon_5
ON anon_5.user_id = likers_2.user_id
WHERE stream_item.parent_id = 11
ORDER BY stream_item.stream_sort_at DESC,
anon_1.content_text_block_position,
anon_6.stream_item_stream_sort_at DESC
和 EXPLAIN 输出:
ID SELECT_TYPE TABLE POSSIBLY_KEYS KEY KEY_LEN REF ROWS EXTRA
1 PRIMARY <derived2> ALL NULL NULL NULL NULL 599 Using temporary; Using filesort
1 PRIMARY stream_item eq_ref PRIMARY,parent_id PRIMARY 4 anon_1.content_text_block_franklin_object_id 1 Using where
1 PRIMARY contents_resources_1 ref content_id content_id 5 anon_1.content_text_block_id 2
1 PRIMARY <derived3> ALL NULL NULL NULL NULL 7
1 PRIMARY contents_franklin_objects_1 ref content_id content_id 5 anon_1.content_text_block_id 1
1 PRIMARY franklin_object eq_ref PRIMARY PRIMARY 4 franklin.stream_item.id 1 Using where
1 PRIMARY franklin_object_1 eq_ref PRIMARY PRIMARY 4 franklin.contents_franklin_objects_1.franklin_object_id 1
1 PRIMARY likers_1 ref post_id post_id 5 franklin.stream_item.id 1
1 PRIMARY <derived4> ALL NULL NULL NULL NULL 136
1 PRIMARY contents_franklin_objects_2 ref franklin_object_id franklin_object_id 5 franklin.stream_item.id 1
1 PRIMARY <derived5> ALL NULL NULL NULL NULL 599
1 PRIMARY <derived6> ALL NULL NULL NULL NULL 608
1 PRIMARY likers_2 ref post_id post_id 5 anon_6.stream_item_id 1
1 PRIMARY <derived7> ALL NULL NULL NULL NULL 136
7 DERIVED user ALL PRIMARY NULL NULL NULL 133
7 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.user.id 1
6 DERIVED stream_item ALL PRIMARY NULL NULL NULL 709
6 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.stream_item.id 1
5 DERIVED content_text_block ALL PRIMARY NULL NULL NULL 666
5 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.content_text_block.id 1
4 DERIVED user ALL PRIMARY NULL NULL NULL 133
4 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.user.id 1
3 DERIVED resource ALL PRIMARY NULL NULL NULL 7
3 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.resource.id 1
2 DERIVED content_text_block ALL PRIMARY NULL NULL NULL 666
2 DERIVED franklin_object eq_ref PRIMARY PRIMARY 4 franklin.content_text_block.id 1
如何将所有查询减少到更快的程度？还有哪些其他方法可以加快速度？
franklin_objects 的设置方式是否为反模式？它的工作方式是 franklin_object 表有两列:id 和 type。然后每个类型都是一个表，有一个主键是 franklin_object 的外键。
生成 sql 的代码大致如下:
stream_item_query = StreamItem.query.options(db.joinedload('stream_items'),db.joinedload('contents_included_in'),db.joinedload('contents.resources'),db.joinedload('内容。 objects'),db.subqueryload('likers'))
stream_items = stream_item_query.filter(StreamItem.parent_id == community_id).order_by(db.desc(StreamItem.stream_sort_at)).all()
最佳答案
哇，这个有点伤我的脑袋。试图弄清楚查询在做什么、所有表是什么以及关系是乏味的。如果您有类似的经历，那就让它成为您可能试图在此单个查询中做太多事情的第一个提示。
我的建议是重新考虑您的整个方法。
SQLAlchemy 是一个非常好的工具，我不会抨击它(或您选择的 mysql)，但与大多数 ORM 工具一样，您需要考虑使用它们的成本。一个示例是此 franklin_object 表业务。这是反模式吗？是和否。从纯粹的面向对象的角度来看，这是有道理的。您可以通过查找此表中的 id 来确定要查询的表。从关系查询的角度来看，它的作用很小。我可以从您的查询中删除 franklin_object 的每个实例，并且除了...... franklin_object 中的列之外什么都不会丢失。如果那是一个可行的选择，我会立即这样做。
让我们进一步检查这个与 franklin_object 的链接。查看子查询，它们都具有相同的形式:
SELECT franklin_object.id AS franklin_object_id,
franklin_object.type AS franklin_object_type,
franklin_object.uuid AS franklin_object_uuid,
linked_table.id AS linked_table_id,
linked_table.col2 AS col2 --and more
FROM franklin_object
INNER JOIN linked_table
ON franklin_object.id = linked_table.id) AS anon_n
就如何优化这部分查询而言，数据库没有太多信息可以继续，无论统计数据如何。也许如果 franklin_object 通过在 where 子句中指定 type 来限制查询会更好。也许。
这对于 USER 表尤其有问题，因为该表有很多记录(如您所说)。由于您正在查询大部分列，而优化器无法准确计算出将检索多少行，因此执行全表扫描是有意义的。在你的情况下，两次。
另一个方面是涉及的连接数量之多。如果我们取出所有 franklin_object 引用，仍然有 11 个连接。如果您的数据模型更相关，那并不可怕，但事实并非如此。生成的查询对数据库找出执行查询的最佳方式没有太大帮助，因此它做得不好。也许您可以通过提示等方式缓解这种情况，但我敢打赌，从长远来看，这会对您产生不利影响。
您正在使用 ORM 工具，所以真正地使用它。一次完成如此大的查询不会有任何好处。为了性能，它可以分开一点。执行惰性检索以避免庞大、复杂的查询。我会说尝试，只是看看它如何，懒惰地做每一件事。性能可能会好，我会说更好。不是很好，甚至可能 Not Acceptable ，但总比在数据库运行时喝咖啡要好。
然后，开始将事物拼凑成更精简的 block 。将逻辑上有意义的对象联系在一起，例如 resource 和 contents_resources。另一个例子，stream_item、likers 和user 之间的连接是重复的。做一个查询，让 SQLAlchemy 做它的事情。
作为最后的手段，可以实现某种缓存机制。也许在某处对表进行非规范化。在变化缓慢、读取量大的系统上，您可以将这些表输入到另一个结构中，在该结构中查询直接且快速。也就是说，预先进行处理并将其存储在单个表中。
祝你好运
关于mysql - 如何优化 SQLAlchemy 生成的查询？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/11509947/
我正在学习如何使用Nokogiri，根据这段代码我遇到了一些问题:require'rubygems'require'mechanize'post_agent=WWW::Mechanize.newpost_page=post_agent.get('http://www.vbulletin.org/forum/showthread.php?t=230708')puts"\nabsolutepathwithtbodygivesnil"putspost_page.parser.xpath('/html/body/div/div/div/div/div/table/tbody/tr/td/div
总的来说，我对ruby还比较陌生，我正在为我正在创建的对象编写一些rspec测试用例。许多测试用例都非常基础，我只是想确保正确填充和返回值。我想知道是否有办法使用循环结构来执行此操作。不必为我要测试的每个方法都设置一个assertEquals。例如:describeitem,"TestingtheItem"doit"willhaveanullvaluetostart"doitem=Item.new#HereIcoulddotheitem.name.shouldbe_nil#thenIcoulddoitem.category.shouldbe_nilendend但我想要一些方法来使用
我有一个Ruby程序，它使用rubyzip压缩XML文件的目录树。gem。我的问题是文件开始变得很重，我想提高压缩级别，因为压缩时间不是问题。我在rubyzipdocumentation中找不到一种为创建的ZIP文件指定压缩级别的方法。有人知道如何更改此设置吗？是否有另一个允许指定压缩级别的Ruby库？ 最佳答案 这是我通过查看rubyzip内部创建的代码。level=Zlib::BEST_COMPRESSIONZip::ZipOutputStream.open(zip_file)do|zip|Dir.glob("**/*")d
关闭。这个问题是opinion-based.它目前不接受答案。想要改进这个问题？更新问题，以便editingthispost可以用事实和引用来回答它.关闭4年前。Improvethisquestion我想在固定时间创建一系列低音和高音调的哔哔声。例如:在150毫秒时发出高音调的蜂鸣声在151毫秒时发出低音调的蜂鸣声200毫秒时发出低音调的蜂鸣声250毫秒的高音调蜂鸣声有没有办法在Ruby或Python中做到这一点？我真的不在乎输出编码是什么(.wav、.mp3、.ogg等等)，但我确实想创建一个输出文件。
给定这段代码defcreate@upgrades=User.update_all(["role=?","upgraded"],:id=>params[:upgrade])redirect_toadmin_upgrades_path,:notice=>"Successfullyupgradeduser."end我如何在该操作中实际验证它们是否已保存或未重定向到适当的页面和消息？ 最佳答案 在Rails3中，update_all不返回任何有意义的信息，除了已更新的记录数(这可能取决于您的DBMS是否返回该信息)。http://ar.ru
我在我的项目目录中完成了compasscreate.和compassinitrails。几个问题:我已将我的.sass文件放在public/stylesheets中。这是放置它们的正确位置吗？当我运行compasswatch时，它不会自动编译这些.sass文件。我必须手动指定文件:compasswatchpublic/stylesheets/myfile.sass等。如何让它自动运行？文件ie.css、print.css和screen.css已放在stylesheets/compiled。如何在编译后不让它们重新出现的情况下删除它们？我自己编译的.sass文件编译成compiled/t
我正在用Ruby编写一个简单的程序来检查域列表是否被占用。基本上它循环遍历列表，并使用以下函数进行检查。require'rubygems'require'whois'defcheck_domain(domain)c=Whois::Client.newc.query("google.com").available?end程序不断出错(即使我在google.com中进行硬编码)，并打印以下消息。鉴于该程序非常简单，我已经没有什么想法了-有什么建议吗？/Library/Ruby/Gems/1.8/gems/whois-2.0.2/lib/whois/server/adapters/base.
我正在寻找执行以下操作的正确语法(在Perl、Shell或Ruby中):#variabletoaccessthedatalinesappendedasafileEND_OF_SCRIPT_MARKERrawdatastartshereanditcontinues. 最佳答案 Perl用__DATA__做这个:#!/usr/bin/perlusestrict;usewarnings;while(){print;}__DATA__Texttoprintgoeshere 关于ruby-如何将脚
Rackup通过Rack的默认处理程序成功运行任何Rack应用程序。例如:classRackAppdefcall(environment)['200',{'Content-Type'=>'text/html'},["Helloworld"]]endendrunRackApp.new但是当最后一行更改为使用Rack的内置CGI处理程序时，rackup给出“NoMethodErrorat/undefinedmethod`call'fornil:NilClass”:Rack::Handler::CGI.runRackApp.newRack的其他内置处理程序也提出了同样的反对意见。例如Rack
在选择我想要运行操作的频率时，唯一的选项是“每天”、“每小时”和“每10分钟”。谢谢!我想为我的Rails3.1应用程序运行调度程序。 最佳答案 这不是一个优雅的解决方案，但您可以安排它每天运行，并在实际开始工作之前检查日期是否为当月的第一天。 关于ruby-如何每月在Heroku运行一次Scheduler插件？，我们在StackOverflow上找到一个类似的问题： https://stackoverflow.com/questions/8692687/