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張 旭

MongoDB Performance Tuning: Everything You Need to Know - Stackify - 0 views

stackify.com/mongodb-performance-tuning

database mongodb

shared by 張 旭 on 15 Apr 21 - No Cached
  • db.serverStatus().globalLock
  • db.serverStatus().locks
  • globalLock.currentQueue.total: This number can indicate a possible concurrency issue if it’s consistently high. This can happen if a lot of requests are waiting for a lock to be released.
  • ...35 more annotations...
  • globalLock.totalTime: If this is higher than the total database uptime, the database has been in a lock state for too long.
  • Unlike relational databases such as MySQL or PostgreSQL, MongoDB uses JSON-like documents for storing data.
  • Databases operate in an environment that consists of numerous reads, writes, and updates.
  • When a lock occurs, no other operation can read or modify the data until the operation that initiated the lock is finished.
  • locks.deadlockCount: Number of times the lock acquisitions have encountered deadlocks
  • Is the database frequently locking from queries? This might indicate issues with the schema design, query structure, or system architecture.
  • For version 3.2 on, WiredTiger is the default.
  • MMAPv1 locks whole collections, not individual documents.
  • WiredTiger performs locking at the document level.
  • When the MMAPv1 storage engine is in use, MongoDB will use memory-mapped files to store data.
  • All available memory will be allocated for this usage if the data set is large enough.
  • db.serverStatus().mem
  • mem.resident: Roughly equivalent to the amount of RAM in megabytes that the database process uses
  • If mem.resident exceeds the value of system memory and there’s a large amount of unmapped data on disk, we’ve most likely exceeded system capacity.
  • If the value of mem.mapped is greater than the amount of system memory, some operations will experience page faults.
  • The WiredTiger storage engine is a significant improvement over MMAPv1 in performance and concurrency.
  • By default, MongoDB will reserve 50 percent of the available memory for the WiredTiger data cache.
  • wiredTiger.cache.bytes currently in the cache – This is the size of the data currently in the cache.
  • wiredTiger.cache.tracked dirty bytes in the cache – This is the size of the dirty data in the cache.
  • we can look at the wiredTiger.cache.bytes read into cache value for read-heavy applications. If this value is consistently high, increasing the cache size may improve overall read performance.
  • check whether the application is read-heavy. If it is, increase the size of the replica set and distribute the read operations to secondary members of the set.
  • write-heavy, use sharding within a sharded cluster to distribute the load.
  • Replication is the propagation of data from one node to another
  • Replication sets handle this replication.
  • Sometimes, data isn’t replicated as quickly as we’d like.
  • a particularly thorny problem if the lag between a primary and secondary node is high and the secondary becomes the primary
  • use the db.printSlaveReplicationInfo() or the rs.printSlaveReplicationInfo() command to see the status of a replica set from the perspective of the secondary member of the set.
  • shows how far behind the secondary members are from the primary. This number should be as low as possible.
  • monitor this metric closely.
  • watch for any spikes in replication delay.
  • Always investigate these issues to understand the reasons for the lag.
  • One replica set is primary. All others are secondary.
  • it’s not normal for nodes to change back and forth between primary and secondary.
  • use the profiler to gain a deeper understanding of the database’s behavior.
  • Enabling the profiler can affect system performance, due to the additional activity.
  • 張 旭 on 15 Apr 21
     
    "globalLock.currentQueue.total: This number can indicate a possible concurrency issue if it's consistently high. This can happen if a lot of requests are waiting for a lock to be released."
crazylion lee

Akka - 0 views

akka.io/?_ga=1.69687891.271246675.1483202477

java distributed jvm concurrency

shared by crazylion lee on 01 Jan 17 - No Cached
  • crazylion lee on 01 Jan 17
     
    "Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. "
張 旭

Production Notes - MongoDB Manual - 0 views

docs.mongodb.com/...production-notes

mongodb database performance

shared by 張 旭 on 29 Apr 21 - No Cached
  • mongod will not start if dbPath contains data files created by a storage engine other than the one specified by --storageEngine.
  • mongod must possess read and write permissions for the specified dbPath.
  • WiredTiger supports concurrent access by readers and writers to the documents in a collection
  • ...9 more annotations...
  • Journaling guarantees that MongoDB can quickly recover write operations that were written to the journal but not written to data files in cases where mongod terminated due to a crash or other serious failure.
  • To use read concern level of "majority", replica sets must use WiredTiger storage engine.
  • Write concern describes the level of acknowledgement requested from MongoDB for write operations.
  • With stronger write concerns, clients must wait after sending a write operation until MongoDB confirms the write operation at the requested write concern level.
  • By default, authorization is not enabled, and mongod assumes a trusted environment
  • The HTTP interface is disabled by default. Do not enable the HTTP interface in production environments.
  • Avoid overloading the connection resources of a mongod or mongos instance by adjusting the connection pool size to suit your use case.
  • ensure that each mongod or mongos instance has access to two real cores or one multi-core physical CPU.
  • The WiredTiger storage engine is multithreaded and can take advantage of additional CPU cores
張 旭

architecture - Difference between a "coroutine" and a "thread"? - Stack Overflow - 0 views

stackoverflow.com/...tween-a-coroutine-and-a-thread

programming

shared by 張 旭 on 09 Jun 22 - No Cached
  • Co stands for cooperation. A co routine is asked to (or better expected to) willingly suspend its execution to give other co-routines a chance to execute too. So a co-routine is about sharing CPU resources (willingly) so others can use the same resource as oneself is using.
  • A thread on the other hand does not need to suspend its execution. Being suspended is completely transparent to the thread and the thread is forced by underlying hardware to suspend itself.
  • co-routines can not be concurrently executed and race conditions can not occur.
  • ...8 more annotations...
  • Concurrency is the separation of tasks to provide interleaved execution.
  • Parallelism is the simultaneous execution of multiple pieces of work in order to increase speed.
  • With threads, the operating system switches running threads preemptively according to its scheduler, which is an algorithm in the operating system kernel.
  • With coroutines, the programmer and programming language determine when to switch coroutines
  • In contrast to threads, which are pre-emptively scheduled by the operating system, coroutine switches are cooperative, meaning the programmer (and possibly the programming language and its runtime) controls when a switch will happen.
  • preemption
  • Coroutines are a form of sequential processing: only one is executing at any given time
  • Threads are (at least conceptually) a form of concurrent processing: multiple threads may be executing at any given time.
  • 張 旭 on 09 Jun 22
     
    "Co stands for cooperation. A co routine is asked to (or better expected to) willingly suspend its execution to give other co-routines a chance to execute too. So a co-routine is about sharing CPU resources (willingly) so others can use the same resource as oneself is using."
crazylion lee

Homepage | Celery: Distributed Task Queue - 0 views

www.celeryproject.org

python queue job background message

shared by crazylion lee on 04 Dec 16 - Cached
  • crazylion lee on 04 Dec 16
     
    "Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready)."
crazylion lee

OpenSSH/Cookbook/Multiplexing - Wikibooks, open books for an open world - 0 views

en.wikibooks.org/...Multiplexing

ssh multiplexing

shared by crazylion lee on 15 Dec 16 - No Cached
  • crazylion lee on 15 Dec 16
     
    " Multiplexing is the ability to send more than one signal over a single line or connection. With multiplexing, OpenSSH can re-use an existing TCP connection for multiple concurrent SSH sessions rather than creating a new one each time."
crazylion lee

Java Streams, Part 4: From concurrent to parallel - 0 views

www.ibm.com/...index.html

parallel concurrent java

shared by crazylion lee on 30 Jan 17 - No Cached
  • crazylion lee on 30 Jan 17
     
    "Understanding the factors influencing parallel performance"
crazylion lee

Rust 程式語言 正體中文版 - 0 views

askeing.github.io/...README.html

rust

shared by crazylion lee on 08 Jun 16 - No Cached
  • crazylion lee on 08 Jun 16
     
    "歡迎光臨！本書將會讓你學會 Rust 程式語言。 Rust 是個專注在三項目標的系統程式語言：安全、速度、及並行（concurrency）。 它無需透過垃圾回收機制去達成以上目標，這使它成為一種能在其他語言不擅長的方面大展身手的程式語言，例如：嵌入到其他語言中、在特定空間及時間的限制下撰寫程式、撰寫硬體驅動程式和作業系統之類的底層程式碼。 它透過某些在執行期不會產生額外負擔的編譯期安全檢查，去增進現有程式語言的目標，並去除所有的資料競爭（data races）。 Rust 同時也旨在實現「無成本抽象化」（zero-cost abstractions），雖然，有些抽象化讓他看起來像是高階語言。 即便如此，Rust 仍允許像低階語言一樣進行精確控制。 "
張 旭

The Twelve-Factor App - 0 views

12factor.net/concurrency

development application programming

shared by 張 旭 on 20 Feb 19 - No Cached
  • PHP processes run as child processes of Apache, started on demand as needed by request volume.
  • Java processes take the opposite approach, with the JVM providing one massive uberprocess that reserves a large block of system resources (CPU and memory) on startup, with concurrency managed internally via threads
  • Processes in the twelve-factor app take strong cues from the unix process model for running service daemons.
  • ...3 more annotations...
  • application must also be able to span multiple processes running on multiple physical machines.
  • The array of process types and number of processes of each type is known as the process formation.
  • Twelve-factor app processes should never daemonize or write PID files.
張 旭

Best Practices · mperham/sidekiq Wiki - 0 views

github.com/...Best-Practices

rails ruby background job sidekiq programming

shared by 張 旭 on 08 Feb 17 - No Cached
  • Don't save state to Sidekiq, save simple identifiers.
  • Look up the objects once you actually need them in your perform method.
  • The Sidekiq client API uses JSON.dump to send the data to Redis
  • ...6 more annotations...
  • The Sidekiq server pulls that JSON data from Redis and uses JSON.load to convert the data back into Ruby types to pass to your perform method
  • Idempotency means that your job can safely execute multiple times
  • use a database transaction to ensure data changes are rolled back if there is an error
  • Sidekiq will execute your job at least once.
  • Sidekiq is designed for parallel execution so design your jobs so you can run lots of them in parallel
  • Sidekiq will not provide features which hack around a lack of concurrency in your jobs.
張 旭

The Twelve-Factor App - 0 views

12factor.net/processes

development application programming

shared by 張 旭 on 20 Feb 19 - No Cached
  • stateless processes
  • a production deploy of a sophisticated app may use many process types, instantiated into zero or more running processes.
  • Twelve-factor processes are stateless and share-nothing.
  • ...6 more annotations...
  • Any data that needs to persist must be stored in a stateful backing service, typically a database.
  • The memory space or filesystem of the process can be used as a brief, single-transaction cache.
  • wipe out all local (e.g., memory and filesystem) state
  • compiling during the build stage
  • “sticky sessions” – that is, caching user session data in memory of the app’s process and expecting future requests from the same visitor to be routed to the same process.
  • Sticky sessions are a violation of twelve-factor and should never be used or relied upon
張 旭

The Twelve-Factor App - 0 views

12factor.net/admin-processes

development application programming

shared by 張 旭 on 20 Feb 19 - No Cached
  • The process formation is the array of processes that are used to do the app’s regular business
  • one-off administrative or maintenance tasks for the app
  • One-off admin processes should be run in an identical environment as the regular long-running processes of the app.
  • ...2 more annotations...
  • Admin code must ship with application code to avoid synchronization issues.
  • Twelve-factor strongly favors languages which provide a REPL shell out of the box, and which make it easy to run one-off scripts.
張 旭

Understanding Nginx Server and Location Block Selection Algorithms | DigitalOcean - 0 views

www.digitalocean.com/...ion-block-selection-algorithms

web server nginx config

shared by 張 旭 on 03 Feb 20 - No Cached
  • A server block is a subset of Nginx’s configuration that defines a virtual server used to handle requests of a defined type. Administrators often configure multiple server blocks and decide which block should handle which connection based on the requested domain name, port, and IP address.
  • A location block lives within a server block and is used to define how Nginx should handle requests for different resources and URIs for the parent server. The URI space can be subdivided in whatever way the administrator likes using these blocks. It is an extremely flexible model.
  • Nginx logically divides the configurations meant to serve different content into blocks, which live in a hierarchical structure. Each time a client request is made, Nginx begins a process of determining which configuration blocks should be used to handle the request.
  • ...37 more annotations...
  • Nginx is one of the most popular web servers in the world. It can successfully handle high loads with many concurrent client connections, and can easily function as a web server, a mail server, or a reverse proxy server.
  • The main server block directives that Nginx is concerned with during this process are the listen directive, and the server_name directive.
  • The listen directive typically defines which IP address and port that the server block will respond to.
  • 0.0.0.0:8080 if Nginx is being run by a normal, non-root user
  • Nginx translates all “incomplete” listen directives by substituting missing values with their default values so that each block can be evaluated by its IP address and port.
  • In any case, the port must be matched exactly.
  • If there are multiple server blocks with the same level of specificity matching, Nginx then begins to evaluate the server_name directive of each server block.
  • Nginx will only evaluate the server_name directive when it needs to distinguish between server blocks that match to the same level of specificity in the listen directive.
  • Nginx checks the request’s “Host” header. This value holds the domain or IP address that the client was actually trying to reach.
  • Nginx will first try to find a server block with a server_name that matches the value in the “Host” header of the request exactly.
  • If no exact match is found, Nginx will then try to find a server block with a server_name that matches using a leading wildcard (indicated by a * at the beginning of the name in the config).
  • If no match is found using a leading wildcard, Nginx then looks for a server block with a server_name that matches using a trailing wildcard (indicated by a server name ending with a * in the config)
  • If no match is found using a trailing wildcard, Nginx then evaluates server blocks that define the server_name using regular expressions (indicated by a ~ before the name).
  • If no regular expression match is found, Nginx then selects the default server block for that IP address and port.
  • There can be only one default_server declaration per each IP address/port combination.
  • Location blocks live within server blocks (or other location blocks) and are used to decide how to process the request URI (the part of the request that comes after the domain name or IP address/port).
  • If no modifiers are present, the location is interpreted as a prefix match.
  • =: If an equal sign is used, this block will be considered a match if the request URI exactly matches the location given.
  • ~: If a tilde modifier is present, this location will be interpreted as a case-sensitive regular expression match.
  • ~*: If a tilde and asterisk modifier is used, the location block will be interpreted as a case-insensitive regular expression match.
  • ^~: If a carat and tilde modifier is present, and if this block is selected as the best non-regular expression match, regular expression matching will not take place.
  • Keep in mind that if this block is selected and the request is fulfilled using an index page, an internal redirect will take place to another location that will be the actual handler of the request
  • Keeping in mind the types of location declarations we described above, Nginx evaluates the possible location contexts by comparing the request URI to each of the locations.
  • Nginx begins by checking all prefix-based location matches (all location types not involving a regular expression).
  • First, Nginx looks for an exact match.
  • If no exact (with the = modifier) location block matches are found, Nginx then moves on to evaluating non-exact prefixes.
  • After the longest matching prefix location is determined and stored, Nginx moves on to evaluating the regular expression locations (both case sensitive and insensitive).
  • by default, Nginx will serve regular expression matches in preference to prefix matches.
  • regular expression matches within the longest prefix match will “jump the line” when Nginx evaluates regex locations.
  • The exceptions to the “only one location block” rule may have implications on how the request is actually served and may not align with the expectations you had when designing your location blocks.
  • The index directive always leads to an internal redirect if it is used to handle the request.
  • In the case above, if you really need the execution to stay in the first block, you will have to come up with a different method of satisfying the request to the directory.
  • one way of preventing an index from switching contexts, but it’s probably not useful for most configurations
  • the try_files directive. This directive tells Nginx to check for the existence of a named set of files or directories.
  • the rewrite directive. When using the last parameter with the rewrite directive, or when using no parameter at all, Nginx will search for a new matching location based on the results of the rewrite.
  • The error_page directive can lead to an internal redirect similar to that created by try_files.
  • when certain status codes are encountered.
張 旭

Understanding Nginx HTTP Proxying, Load Balancing, Buffering, and Caching | DigitalOcean - 0 views

www.digitalocean.com/...alancing-buffering-and-caching

nginx proxy networking HA haproxy

shared by 張 旭 on 14 Mar 17 - No Cached
  • allow Nginx to pass requests off to backend http servers for further processing
  • Nginx is often set up as a reverse proxy solution to help scale out infrastructure or to pass requests to other servers that are not designed to handle large client loads
  • explore buffering and caching to improve the performance of proxying operations for clients
  • ...48 more annotations...
  • Nginx is built to handle many concurrent connections at the same time.
  • provides you with flexibility in easily adding backend servers or taking them down as needed for maintenance
  • Proxying in Nginx is accomplished by manipulating a request aimed at the Nginx server and passing it to other servers for the actual processing
  • The servers that Nginx proxies requests to are known as upstream servers.
  • Nginx can proxy requests to servers that communicate using the http(s), FastCGI, SCGI, and uwsgi, or memcached protocols through separate sets of directives for each type of proxy
  • When a request matches a location with a proxy_pass directive inside, the request is forwarded to the URL given by the directive
  • For example, when a request for /match/here/please is handled by this block, the request URI will be sent to the example.com server as http://example.com/match/here/please
  • The request coming from Nginx on behalf of a client will look different than a request coming directly from a client
  • Nginx gets rid of any empty headers
  • Nginx, by default, will consider any header that contains underscores as invalid. It will remove these from the proxied request
    • 張 旭
      張 旭 on 16 Mar 17
       
      這裡要注意一下，header 欄位名稱有設定底線的，要設定 Nginx 讓它可以通過。
  • The "Host" header is re-written to the value defined by the $proxy_host variable.
  • The upstream should not expect this connection to be persistent
  • Headers with empty values are completely removed from the passed request.
  • if your backend application will be processing non-standard headers, you must make sure that they do not have underscores
  • by default, this will be set to the value of $proxy_host, a variable that will contain the domain name or IP address and port taken directly from the proxy_pass definition
  • This is selected by default as it is the only address Nginx can be sure the upstream server responds to
  • (as it is pulled directly from the connection info)
  • $http_host: Sets the "Host" header to the "Host" header from the client request.
  • The headers sent by the client are always available in Nginx as variables. The variables will start with an $http_ prefix, followed by the header name in lowercase, with any dashes replaced by underscores.
  • preference to: the host name from the request line itself
  • set the "Host" header to the $host variable. It is the most flexible and will usually provide the proxied servers with a "Host" header filled in as accurately as possible
  • sets the "Host" header to the $host variable, which should contain information about the original host being requested
  • This variable takes the value of the original X-Forwarded-For header retrieved from the client and adds the Nginx server's IP address to the end.
  • The upstream directive must be set in the http context of your Nginx configuration.
  • http context
  • Once defined, this name will be available for use within proxy passes as if it were a regular domain name
  • By default, this is just a simple round-robin selection process (each request will be routed to a different host in turn)
  • Specifies that new connections should always be given to the backend that has the least number of active connections.
  • distributes requests to different servers based on the client's IP address.
  • mainly used with memcached proxying
  • As for the hash method, you must provide the key to hash against
  • Server Weight
  • Nginx's buffering and caching capabilities
  • Without buffers, data is sent from the proxied server and immediately begins to be transmitted to the client.
  • With buffers, the Nginx proxy will temporarily store the backend's response and then feed this data to the client
  • Nginx defaults to a buffering design
  • can be set in the http, server, or location contexts.
  • the sizing directives are configured per request, so increasing them beyond your need can affect your performance
  • When buffering is "off" only the buffer defined by the proxy_buffer_size directive will be used
  • A high availability (HA) setup is an infrastructure without a single point of failure, and your load balancers are a part of this configuration.
  • multiple load balancers (one active and one or more passive) behind a static IP address that can be remapped from one server to another.
  • Nginx also provides a way to cache content from backend servers
  • The proxy_cache_path directive must be set in the http context.
  • proxy_cache backcache;
    • 張 旭
      張 旭 on 16 Mar 17
       
      這裡的 backcache 是前文設定的 backcache 變數，看起來每個 location 都可以有自己的 cache 目錄。
  • The proxy_cache_bypass directive is set to the $http_cache_control variable. This will contain an indicator as to whether the client is explicitly requesting a fresh, non-cached version of the resource
  • any user-related data should not be cached
  • For private content, you should set the Cache-Control header to "no-cache", "no-store", or "private" depending on the nature of the data
張 旭

Docker image building on GitLab CI | $AYMDEV() - 0 views

aymdev.io/...er-image-building-on-gitlab-ci

devops cicd

shared by 張 旭 on 11 Mar 22 - No Cached
  • Continuous Integration (or CI) is a practice where you continously test an application to detect errors as soon as possible.
  • Docker is a container technology, many CI tools execute jobs (the tasks of a pipeline) in container to have an isolated environment.
  • Docker in Docker (« DinD » in short) means executing Docker in a Docker container.
  • ...11 more annotations...
  • images are saved in the host registry, we can benefit from Docker layer caching
  • All jobs will share the same environment, if many of them run simultaneously they might get into conflicts.
  • storage management (accumulating images)
  • The Docker socket binding technique means making a volume of /var/run/docker.sock between host and containers.
  • all containers would share the same Docker daemon.
  • Add privileged = true in the [runners.docker] section, the privileged mode is mandatory to use DinD.
  • To avoid that the runner only run one job at a time, change the concurrent value on the first line.
  • To avoid building a Docker image at each job, it can be built in a first job, pushed to the image registry provided by GitLab, and pulled in the next jobs.
  • functional tests depending on a database.
  • Docker Compose allows you to easily start multiple containers, but it has no more feature than Docker itself
  • Docker in Docker works well, but has its drawbacks, like Docker layer caching which needs some more commands to be used.
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