# Standard Features > Sample fetches, maps, ACLs, content switching, stick tables, rewriting, and server protection --- LLMS index: [llms.txt](/llms.txt) --- In this section, some features that are very commonly used in HAProxy but are not necessarily present on other load balancers are enumerated. ## 3.4.1. Standard features : Sampling and converting information {#section-3-4-1} HAProxy supports information sampling using a wide set of "sample fetch functions". The principle is to extract pieces of information known as samples, for immediate use. This is used for stickiness, to build conditions, to produce information in logs or to enrich HTTP headers. Samples can be fetched from various sources: - constants: integers, strings, IP addresses, binary blocks; - the process: date, environment variables, server/frontend/backend/process state, byte/connection counts/rates, queue length, random generator, ... - variables: per-session, per-request, per-response variables; - the client connection: source and destination addresses and ports, and all related statistics counters; - the SSL client session: protocol, version, algorithm, cipher, key size, session ID, all client and server certificate fields, certificate serial, SNI, ALPN, NPN, client support for certain extensions; - request and response buffers contents: arbitrary payload at offset/length, data length, RDP cookie, decoding of SSL hello type, decoding of TLS SNI; - HTTP (request and response): method, URI, path, query string arguments, status code, headers values, positional header value, cookies, captures, authentication, body elements; A sample may then pass through a number of operators known as "converters" to experience some transformation. A converter consumes a sample and produces a new one, possibly of a completely different type. For example, a converter may be used to return only the integer length of the input string, or could turn a string to upper case. Any arbitrary number of converters may be applied in series to a sample before final use. Among all available sample converters, the following ones are the most commonly used: - arithmetic and logic operators: they make it possible to perform advanced computation on input data, such as computing ratios, percentages or simply converting from one unit to another one; - IP address masks are useful when some addresses need to be grouped by larger networks; - data representation: URL-decode, base64, hex, JSON strings, hashing; - string conversion: extract substrings at fixed positions, fixed length, extract specific fields around certain delimiters, extract certain words, change case, apply regex-based substitution; - date conversion: convert to HTTP date format, convert local to UTC and conversely, add or remove offset; - lookup an entry in a stick table to find statistics or assigned server; - map-based key-to-value conversion from a file (mostly used for geolocation). ## 3.4.2. Standard features : Maps {#section-3-4-2} Maps are a powerful type of converter consisting in loading a two-columns file into memory at boot time, then looking up each input sample from the first column and either returning the corresponding pattern on the second column if the entry was found, or returning a default value. The output information also being a sample, it can in turn experience other transformations including other map lookups. Maps are most commonly used to translate the client's IP address to an AS number or country code since they support a longest match for network addresses but they can be used for various other purposes. Part of their strength comes from being updatable on the fly either from the CLI or from certain actions using other samples, making them capable of storing and retrieving information between subsequent accesses. Another strength comes from the binary tree based indexation which makes them extremely fast even when they contain hundreds of thousands of entries, making geolocation very cheap and easy to set up. ## 3.4.3. Standard features : ACLs and conditions {#section-3-4-3} Most operations in HAProxy can be made conditional. Conditions are built by combining multiple ACLs using logic operators (AND, OR, NOT). Each ACL is a series of tests based on the following elements: - a sample fetch method to retrieve the element to test; - an optional series of converters to transform the element; - a list of patterns to match against; - a matching method to indicate how to compare the patterns with the sample For example, the sample may be taken from the HTTP "Host" header, it could then be converted to lower case, then matched against a number of regex patterns using the regex matching method. Technically, ACLs are built on the same core as the maps, they share the exact same internal structure, pattern matching methods and performance. The only real difference is that instead of returning a sample, they only return "found" or or "not found". In terms of usage, ACL patterns may be declared inline in the configuration file and do not require their own file. ACLs may be named for ease of use or to make configurations understandable. A named ACL may be declared multiple times and it will evaluate all definitions in turn until one matches. About 13 different pattern matching methods are provided, among which IP address mask, integer ranges, substrings, regex. They work like functions, and just like with any programming language, only what is needed is evaluated, so when a condition involving an OR is already true, next ones are not evaluated, and similarly when a condition involving an AND is already false, the rest of the condition is not evaluated. There is no practical limit to the number of declared ACLs, and a handful of commonly used ones are provided. However experience has shown that setups using a lot of named ACLs are quite hard to troubleshoot and that sometimes using anonymous ACLs inline is easier as it requires less references out of the scope being analyzed. ## 3.4.4. Standard features : Content switching {#section-3-4-4} HAProxy implements a mechanism known as content-based switching. The principle is that a connection or request arrives on a frontend, then the information carried with this request or connection are processed, and at this point it is possible to write ACLs-based conditions making use of these information to decide what backend will process the request. Thus the traffic is directed to one backend or another based on the request's contents. The most common example consists in using the Host header and/or elements from the path (sub-directories or file-name extensions) to decide whether an HTTP request targets a static object or the application, and to route static objects traffic to a backend made of fast and light servers, and all the remaining traffic to a more complex application server, thus constituting a fine-grained virtual hosting solution. This is quite convenient to make multiple technologies coexist as a more global solution. Another use case of content-switching consists in using different load balancing algorithms depending on various criteria. A cache may use a URI hash while an application would use round-robin. Last but not least, it allows multiple customers to use a small share of a common resource by enforcing per-backend (thus per-customer connection limits). Content switching rules scale very well, though their performance may depend on the number and complexity of the ACLs in use. But it is also possible to write dynamic content switching rules where a sample value directly turns into a backend name and without making use of ACLs at all. Such configurations have been reported to work fine at least with 300000 backends in production. ## 3.4.5. Standard features : Stick-tables {#section-3-4-5} Stick-tables are commonly used to store stickiness information, that is, to keep a reference to the server a certain visitor was directed to. The key is then the identifier associated with the visitor (its source address, the SSL ID of the connection, an HTTP or RDP cookie, the customer number extracted from the URL or from the payload, ...) and the stored value is then the server's identifier. Stick tables may use 3 different types of samples for their keys: integers, strings and addresses. Only one stick-table may be referenced in a proxy, and it is designated everywhere with the proxy name. Up to 8 keys may be tracked in parallel. The server identifier is committed during request or response processing once both the key and the server are known. Stick-table contents may be replicated in active-active mode with other HAProxy nodes known as "peers" as well as with the new process during a reload operation so that all load balancing nodes share the same information and take the same routing decision if client's requests are spread over multiple nodes. Since stick-tables are indexed on what allows to recognize a client, they are often also used to store extra information such as per-client statistics. The extra statistics take some extra space and need to be explicitly declared. The type of statistics that may be stored includes the input and output bandwidth, the number of concurrent connections, the connection rate and count over a period, the amount and frequency of errors, some specific tags and counters, etc. In order to support keeping such information without being forced to stick to a given server, a special "tracking" feature is implemented and allows to track up to 3 simultaneous keys from different tables at the same time regardless of stickiness rules. Each stored statistics may be searched, dumped and cleared from the CLI and adds to the live troubleshooting capabilities. While this mechanism can be used to surclass a returning visitor or to adjust the delivered quality of service depending on good or bad behavior, it is mostly used to fight against service abuse and more generally DDoS as it allows to build complex models to detect certain bad behaviors at a high processing speed. ## 3.4.6. Standard features : Formatted strings {#section-3-4-6} There are many places where HAProxy needs to manipulate character strings, such as logs, redirects, header additions, and so on. In order to provide the greatest flexibility, the notion of Formatted strings was introduced, initially for logging purposes, which explains why it's still called "log-format". These strings contain escape characters allowing to introduce various dynamic data including variables and sample fetch expressions into strings, and even to adjust the encoding while the result is being turned into a string (for example, adding quotes). This provides a powerful way to build header contents, to build response data or even response templates, or to customize log lines. Additionally, in order to remain simple to build most common strings, about 50 special tags are provided as shortcuts for information commonly used in logs. ## 3.4.7. Standard features : HTTP rewriting and redirection {#section-3-4-7} Installing a load balancer in front of an application that was never designed for this can be a challenging task without the proper tools. One of the most commonly requested operation in this case is to adjust requests and response headers to make the load balancer appear as the origin server and to fix hard coded information. This comes with changing the path in requests (which is strongly advised against), modifying Host header field, modifying the Location response header field for redirects, modifying the path and domain attribute for cookies, and so on. It also happens that a number of servers are somewhat verbose and tend to leak too much information in the response, making them more vulnerable to targeted attacks. While it's theoretically not the role of a load balancer to clean this up, in practice it's located at the best place in the infrastructure to guarantee that everything is cleaned up. Similarly, sometimes the load balancer will have to intercept some requests and respond with a redirect to a new target URL. While some people tend to confuse redirects and rewriting, these are two completely different concepts, since the rewriting makes the client and the server see different things (and disagree on the location of the page being visited) while redirects ask the client to visit the new URL so that it sees the same location as the server. In order to do this, HAProxy supports various possibilities for rewriting and redirects, among which: - regex-based URL and header rewriting in requests and responses. Regex are the most commonly used tool to modify header values since they're easy to manipulate and well understood; - headers may also be appended, deleted or replaced based on formatted strings so that it is possible to pass information there (e.g. client side TLS algorithm and cipher); - HTTP redirects can use any 3xx code to a relative, absolute, or completely dynamic (formatted string) URI; - HTTP redirects also support some extra options such as setting or clearing a specific cookie, dropping the query string, appending a slash if missing, and so on; - a powerful "return" directive allows to customize every part of a response like status, headers, body using dynamic contents or even template files. - all operations support ACL-based conditions; ## 3.4.8. Standard features : Server protection {#section-3-4-8} HAProxy does a lot to maximize service availability, and for this it takes large efforts to protect servers against overloading and attacks. The first and most important point is that only complete and valid requests are forwarded to the servers. The initial reason is that HAProxy needs to find the protocol elements it needs to stay synchronized with the byte stream, and the second reason is that until the request is complete, there is no way to know if some elements will change its semantics. The direct benefit from this is that servers are not exposed to invalid or incomplete requests. This is a very effective protection against slowloris attacks, which have almost no impact on HAProxy. Another important point is that HAProxy contains buffers to store requests and responses, and that by only sending a request to a server when it's complete and by reading the whole response very quickly from the local network, the server side connection is used for a very short time and this preserves server resources as much as possible. A direct extension to this is that HAProxy can artificially limit the number of concurrent connections or outstanding requests to a server, which guarantees that the server will never be overloaded even if it continuously runs at 100% of its capacity during traffic spikes. All excess requests will simply be queued to be processed when one slot is released. In the end, this huge resource savings most often ensures so much better server response times that it ends up actually being faster than by overloading the server. Queued requests may be redispatched to other servers, or even aborted in queue when the client aborts, which also protects the servers against the "reload effect", where each click on "reload" by a visitor on a slow-loading page usually induces a new request and maintains the server in an overloaded state. The slow-start mechanism also protects restarting servers against high traffic levels while they're still finalizing their startup or compiling some classes. Regarding the protocol-level protection, it is possible to relax the HTTP parser to accept non standard-compliant but harmless requests or responses and even to fix them. This allows bogus applications to be accessible while a fix is being developed. In parallel, offending messages are completely captured with a detailed report that help developers spot the issue in the application. The most dangerous protocol violations are properly detected and dealt with and fixed. For example malformed requests or responses with two Content-length headers are either fixed if the values are exactly the same, or rejected if they differ, since it becomes a security problem. Protocol inspection is not limited to HTTP, it is also available for other protocols like TLS or RDP. When a protocol violation or attack is detected, there are various options to respond to the user, such as returning the common "HTTP 400 bad request", closing the connection with a TCP reset, or faking an error after a long delay ("tarpit") to confuse the attacker. All of these contribute to protecting the servers by discouraging the offending client from pursuing an attack that becomes very expensive to maintain. HAProxy also proposes some more advanced options to protect against accidental data leaks and session crossing. Not only it can log suspicious server responses but it will also log and optionally block a response which might affect a given visitors' confidentiality. One such example is a cacheable cookie appearing in a cacheable response and which may result in an intermediary cache to deliver it to another visitor, causing an accidental session sharing.