Crawl is a 2019 American natural horror film directed by Alexandre Aja, written by brothers Michael and Shawn Rasmussen, and produced by Sam Raimi. It stars Kaya Scodelario and Barry Pepper as a daughter and father who, along with their dog, find themselves trapped in the crawl space of their home and preyed upon by alligators during a Category 5 hurricane in Florida.
Haley descends into the house's crawl space with the help of the family dog, Sugar, and finds her father unconscious. Suddenly, her main exit is cut off by several large American alligators. As the house begins to flood, Haley attempts to navigate around them to retrieve her phone but is ambushed by two alligators that destroy the phone and injure her leg. She notices three people looting a nearby gas station, but her efforts to draw their attention do not work, and she watches in despair as they are devoured by alligators.
Wayne and his partner Pete arrive at the old house in search of Haley and her father. While Wayne heads into the house to look for them, Pete is ambushed and ripped apart by a swarm of alligators. Wayne locates them as they warn him of the dangers in the crawl space before being pulled into the crawl space by an alligator and devoured underwater. In a last-ditch effort to escape, Haley swims to a storm drain, where she discovers the alligators have made their nest and laid eggs.
Most of our Search index is built through the work of software known as crawlers. These automatically visit publicly accessible webpages and follow links on those pages, much like you would if you were browsing content on the web. They go from page to page and store information about what they find on these pages and other publicly-accessible content in Google's Search index.
Because the web and other content is constantly changing, our crawling processes are always running to keep up. They learn how often content they've seen before seems to change and revisit as needed. They also discover new content as new links to those pages or information appear.
Google also provides a free toolset called Search Console that creators can use to help us better crawl their content. They can also make use of established standards like sitemaps or robots.txt to indicate how often content should be visited or if it shouldn't be included in our Search index at all.
In fact, we have multiple indexes of different types of information, which is gathered through crawling, through partnerships, through data feeds being sent to us and through our own encyclopedia of facts, the Knowledge Graph.
Google has sophisticated algorithms to determine the optimal crawl speed for a site. Our goal is to crawl as many pages from your site as we can on each visit without overwhelming your server's bandwidth.
Google Search is a fully-automated search engine that uses software known as web crawlers that explore the web regularly to find pages to add to our index. In fact, the vast majority of pages listed in our results aren't manually submitted for inclusion, but are found and added automatically when our web crawlers explore the web. This document explains the stages of how Search works in the context of your website. Having this base knowledge can help you fix crawling issues, get your pages indexed, and learn how to optimize how your site appears in Google Search.
Before we get into the details of how Search works, it's important to note that Google doesn't accept payment to crawl a site more frequently, or rank it higher. If anyone tells you otherwise, they're wrong.
The first stage is finding out what pages exist on the web. There isn't a central registry of all web pages, so Google must constantly look for new and updated pages and add them to its list of known pages. This process is called "URL discovery". Some pages are known because Google has already visited them. Other pages are discovered when Google follows a link from a known page to a new page: for example, a hub page, such as a category page, links to a new blog post. Still other pages are discovered when you submit a list of pages (a sitemap) for Google to crawl.
Once Google discovers a page's URL, it may visit (or "crawl") the page to find out what's on it. We use a huge set of computers to crawl billions of pages on the web. The program that does the fetching is called Googlebot (also known as a crawler, robot, bot, or spider). Googlebot uses an algorithmic process to determine which sites to crawl, how often, and how many pages to fetch from each site. Google's crawlers are also programmed such that they try not to crawl the site too fast to avoid overloading it. This mechanism is based on the responses of the site (for example, HTTP 500 errors mean "slow down") and settings in Search Console.
After a page is crawled, Google tries to understand what the page is about. This stage is called indexing and it includes processing and analyzing the textual content and key content tags and attributes, such as elements and alt attributes, images, videos, and more.
The default content access account is a domain account that you specify for the SharePoint Server Search service to use by default for crawling. For simplicity, it is best to use this account to crawl as much as possible of the content that is specified by your content sources. To change the default content access account, see Change the default account for crawling in SharePoint Server.
When you cannot use the default content access account for crawling a particular URL (for example, for security reasons), you can create a crawl rule to specify one of the following alternatives for authenticating the crawler:
The type of content in the start addresses (such as SharePoint Server sites, file shares, or line-of-business data). You can specify only one type of content to crawl in a content source. For example, you would use one content source to crawl SharePoint Server sites, and a different content source to crawl file shares.
When you create a Search service application, the search system automatically creates and configures one content source, which is named Local SharePoint sites. This preconfigured content source is for crawling user profiles, and for crawling all SharePoint Server sites in the web applications with which the Search service application is associated. You can also use this content source for crawling content in other SharePoint Server farms, including SharePoint Server 2007 farms, SharePoint Server 2010 farms, SharePoint Server 2013 farms, or other SharePoint Server farms.
You can edit the preconfigured content source Local SharePoint sites to specify a crawl schedule; it does not specify a crawl schedule by default. For any content source, you can start crawls manually, but we recommend that you schedule incremental crawls or enable continuous crawls to make sure that content is crawled regularly.
Crawling content can significantly decrease the performance of the servers that host the content. The effect depends on whether the host servers have sufficient resources (especially CPU and RAM) to handle the load. Therefore, when you plan crawl schedules, consider the following best practices:
Stagger crawl schedules so that the load on crawl servers and host servers is distributed over time. You can optimize crawl schedules in this manner as you become familiar with the typical crawl durations for each content source by checking the crawl log. For more information, see Crawl log in View search diagnostics in SharePoint Server.
Run full crawls only when it is necessary. For more information, see Reasons to do a full crawl in Plan crawling and federation in SharePoint Server. For any administrative change that requires a full crawl to take effect, such as creation of a crawl rule, perform the change shortly before the next full crawl so that an extra full crawl is not necessary. For more information, see Manage crawl rules in SharePoint Server.
However, if you are deploying "People Search", we recommend that you create a separate content source for the start address sps3s://myWebAppUrl and run a crawl for that content source first. The reason for the crawl execution is that after it finishes, the search system generates a list to standardize people's names. This is so that when a person's name has different forms in one set of search results, all results for that person are displayed in a single group (known as a result block). For example, for the search query "Anne Weiler", all documents authored by Anne Weiler or A. Weiler or alias AnneW can be displayed in a result block that is labeled "Documents by Anne Weiler". Similarly, all documents authored by any of those identities can be displayed under the heading "Anne Weiler" in the refinement panel if "Author" is one of the categories there.
Create a content source that is only for crawling user profiles (the profile store). You might give that content source a name such as People. In the new content source, in the Start Addresses section, type sps3s:// myWebAppUrl, where myWebAppUrl is the URL of the My Site host.
Enable continuous crawls is a crawl schedule option that you can select when you add or edit a content source of type SharePoint Sites. A continuous crawl crawls content that was added, changed, or deleted since the last crawl. A continuous crawl starts at predefined time intervals. The default interval is every 15 minutes, but you can set continuous crawls to occur at shorter intervals by using Microsoft PowerShell. Because continuous crawls occur so often, they help ensure search-index freshness, even for SharePoint Server content that is frequently updated. Also, while an incremental or full crawl is delayed by multiple crawl attempts that are returning an error for a particular item, a continuous crawl can be crawling other content and contributing to index freshness, because a continuous crawl doesn't process or retry items that repeatedly return errors. Such errors are retried during a "clean-up" incremental crawl, which automatically runs every four hours for content sources that have continuous crawl enabled. Items that continue to return errors during the incremental crawl will be retried during future incremental crawls, but will not be picked up by the continuous crawls until the errors are resolved. 041b061a72