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Application-server, with embedded distributed Multimodel in memory database management system
Table of Contents
- About The Project
- Getting Started
About The Project
Fluidb is an open source (BSD-3-Clause License), application-server, with embedded distributed multimodel database management system distributed uder BSD-3-Clause License based on source code of Algernon, and Tile38 which also distributed uder BSD-3-Clause License. The purpose of our project is to fix fundamental flaws in Redis, such as scaling, creating a multi-threaded server.
We do not have a docker image since docker, like any virtualization environment, forms an additional layer of abstraction that complicates both the development process itself and the program operation process.
Our goal: "To create a high-performance application based on modules architecture that is as easy to use as possible"
fluidB is often referred to as a data structures server. What this means is that fluidB provides access to mutable data structures via a set of commands, which are sent using a server-client model with TCP sockets and a simple protocol. So different processes can query and modify the same data structures in a shared way. The storage of fluidB is implemented as follows: data can be stored according to the "key-value" model, or can be stored as a graph, which is a chain of interrelated events (which are similar to frames from an old film strip), which together represent a description of some event.
Good example is to think of fluidB as a more complex version of memcached, where the operations are not just SETs and GETs, but operations that work with complex data types like Lists, Sets, ordered data structures, and so forth.
- Alexander F. Rødseth (xyproto), I would like to express our gratitude for all that you have done!!! Thank you.
- **Philip O'Toole **, I wish to express my appreciation for all your efforts!!!
- Hardware: Intel or AMD
- Processor: 64-bit
- RAM: 1 GB or above
- Nodes: 3 (strongly recomended)
- Operating System: UNIX-like only (Linux, BSD(except OpenBSD), MacOS X) Windows isn't supported
- Logs ageregation
- Caching system
- Queue server
- Pattern "Central dispatcher" (for sharding)
- Solution that sits in front of multiple data sources and allow them to be treated as a single json database
- Web-server and database for hosting static web-sites
fluidB works by running the normal Redis event loop on multiple threads. Network IO, and query parsing are done concurrently. Each connection is assigned a thread on accept. Access to the core hash table is guarded by spinlock. Because the hashtable access is extremely fast this lock has low contention. Transactions hold the lock for the duration of the EXEC command. Modules work in concert with the GIL which is only acquired when all server threads are paused. This maintains the atomicity guarantees modules expect.
Unlike most databases the core data structure is the fastest part of the system. Most of the query time comes from parsing the REPL protocol and copying data to/from the network.
Install Golang, build-essential in your operating system
Clone the repo
git clone https://github.com/gvsafronov/deepblue.git
Build project with go-build
cd fluidb go build -mod=vendor
For Linux-systems you can install fluidB automaticly using installation script from our site:
Installation Script for Debian-based systems
Installation Script for Red-Hat-based systems
Installation Script for Arch-based systems
For BSD-systems and (Oracle Solaris, OpenIndiana) you can install fluidB automaticly using installation script from our site:
Installation Script for BSD-based systems
- Open the link above
- Download the script
- Copy the tar-archive in your home directory
- Open you terminal and then print (
-terminal prompt) ```chmod +x install.sh && ./install.sh```
- Wait for the installation process to complete, after installation the application will start automatically
### Running fluidB
To run fluidB with the default configuration (without application server) just run the fluidb-server:
$ cd src $ ./fluidB-serv
If you want run fluidB with modules you must uncomment string # loadmodule /path/to/other_module.so in fluidb.conf file and then run fluidb
$ ./fluidB-serv //path/to/your congfig file.conf
If you want to provide your fluidB.conf, you have to run it using an additional parameter (the path of the configuration file):
$ ./fluidB-serv --port 9999 --replicaof 127.0.0.1 9470 $ ./fluidB-serv /etc/fluidB/9470.conf --loglevel debug
All the options in fluidB.conf are also supported as options using the command line, with exactly the same name.
It is possible to alter the fluidB configuration by passing parameters directly as options using the command line. Examples:
$ ./fluidB-serv --port 9999 --replicaof 127.0.0.1 9470 $ ./fluidB-serv /etc/fluidB/9470.conf --loglevel debug
All the options in fluidB.conf are also supported as options using the command
line, with exactly the same name.
Start working with fluidB
It would be better to start fluidB-cli (client fluidB) to play with fluidB. Start a fluidB-server instance, then in another terminal try the following:
--------------------------------------- Let's start with key-value model --------------------------------------- % cd src % ./clif lua~> os.execute ("./clif") PONG fluidB:~> set foo bar OK fluidB:~> get foo "bar" fluidB:~> incr mycounter (integer) 1 fluidB:~> incr mycounter (integer) 2 ----------------------------------------------- Now launch unix-shell command in fluidb ---------------------------------------------- Before your start check correct path to module "fluexe" in file fluidb.conf file fluidB:~> system.exec "id" "uid=0(root) gid=0(root) groups=0(root)\n" fluidB:~> system.exec "whoami" "root\n" fluidB:~> system.rev 127.0.0.1 9999
Fixing build problems with dependencies or cached build options
fluidB has some dependencies which are included into the
make does not automatically rebuild dependencies even if something in
the source code of dependencies changes.
When you update the source code with
git pull or when code inside the
dependencies tree is modified in any other way, make sure to use the following
command in order to really clean everything and rebuild from scratch:
This will clean: jemalloc, lua, hiredis, linenoise.
Also if you force certain build options like 32bit target, no C compiler
optimizations (for debugging purposes), and other similar build time options,
those options are cached indefinitely until you issue a
Selecting a non-default memory allocator when building fluidB is done by setting
MALLOC environment variable. fluidB is compiled and linked against libc
malloc by default, with the exception of jemalloc being the default on Linux
systems. This default was picked because jemalloc has proven to have fewer
fragmentation problems than libc malloc.
To force compiling against libc malloc, use:
% make MALLOC=libc
To compile against jemalloc on Mac OS X systems, use:
% make MALLOC=jemalloc
fluidB will build with a user friendly colorized output by default. If you want to see a more verbose output use the following:
% make V=1
See the open issues for a list of proposed features (and known issues).
This section lists common the most popular troubles which are encountered during working
- After starting the application you see the follow worrying-looking warning:
WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect.
Add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect.
After starting the application you see the follow worrying-looking warning:
WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect. WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
sudo apt install hugepages
To build with TLS support you'll need OpenSSL development libraries (e.g. libssl-dev on Debian/Ubuntu).
To run fluidb test suite with TLS, you'll need TLS support for TCL (i.e.
tcl-tls package on Debian/Ubuntu).
./utils/gen-test-certs.shto generate a root CA and a server certificate.
./runtest-cluster --tlsto run fluidb and fluidb Cluster tests in TLS mode.
To manually run a Redis server with TLS mode (assuming
invoked so sample certificates/keys are available):
./src/fluidb-server --tls-port 9470 --port 0 \ --tls-cert-file ./tests/tls/fluidb.crt \ --tls-key-file ./tests/tls/fluidb.key \ --tls-ca-cert-file ./tests/tls/ca.crt
To connect to this Redis server with
./src/fluidb-cli --tls \ --cert ./tests/tls/fluidb.crt \ --key ./tests/tls/fluidb.key \ --cacert ./tests/tls/ca.crt
This will disable TCP and enable TLS on port 9470. It's also possible to have both TCP and TLS available, but you'll need to assign different ports.
To make a Replica connect to the master using TLS, use
and to make fluidb Cluster use TLS across nodes use
All socket operations now go through a connection abstraction layer that hides I/O and read/write event handling from the caller.
Note that unlike Redis, fluidb fully supports multithreading of TLS connections.
Consider the implications of allowing TLS to be configured on a separate port, making fluidb listening on multiple ports:
- Startup banner port notification
- How slaves announce themselves
- Cluster bus port calculation
Create-cluster is a small script located in root directory used to easily start a big number of Redis instances configured to run in cluster mode. Its main goal is to allow manual testing in a condition which is not easy to replicate with the Redis cluster unit tests, for example when a lot of instances are needed in order to trigger a given bug.
The tool can also be used just to easily create a number of instances in a Redis Cluster in order to experiment a bit with the system.
To create a cluster, follow these steps:
- Edit create-cluster and change the start / end port, depending on the number of instances you want to create.
- Use "./create-cluster start" in order to run the instances.
- Use "./create-cluster create" in order to execute keydb-cli --cluster create, so that an actual KeyDB cluster will be created. (If you're accessing your setup via a local container, ensure that the CLUSTER_HOST value is changed to your local IP)
- Now you are ready to play with the cluster. AOF files and logs for each instances are created in the current directory.
In order to stop a cluster:
- Use "./create-cluster stop" to stop all the instances. After you stopped the instances you can use "./create-cluster start" to restart them if you change your mind.
- Use "./create-cluster clean" to remove all the AOF / log files to restart with a clean environment.
Use the command "./create-cluster help" to get the full list of features.
New Configuration Options
With new features comes new options:
server-threads N server-thread-affinity [true/false]
The number of threads used to serve requests. This should be related to the number of queues available in your network hardware, not the number of cores on your machine. Because fluidB uses spinlocks to reduce latency; making this too high will reduce performance. We recommend using 4 here. By default this is set to one.
If you would like to use the FLASH backed storage this option configures the directory for fluidB's temporary files. This feature relies on snapshotting to work so must be used on a BTRFS filesystem. ZFS may also work but is untested. With this feature fluidB will use RAM as a cache and page to disk as necessary. NOTE: This requires special compilation options, see Building fluidB below.
If you would like fluidB to dump and load directly to AWS S3 this option specifies the bucket. Using this option with the traditional RDB options will result in fluidB backing up twice to both locations. If both are specified fluidB will first attempt to load from the local dump file and if that fails load from S3. This requires the AWS CLI tools to be installed and configured which are used under the hood to transfer the data.
If you are using active-active replication set
active-replica option to “yes”. This will enable both instances to accept reads and writes while remaining synced. Click here to see more on active-rep in our docs section.
All other configuration options behave as you'd expect. Your existing configuration files should continue to work unchanged.
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature)
- Commit your Changes (
git commit -m 'Add some AmazingFeature')
- Push to the Branch (
git push origin feature/AmazingFeature)
- Open a Pull Request
Distributed under the BSD 3 License. See
LICENSE for more information.
This page provides answers to frequently asked questions regarding fluidB
- What is the main idea of your project? The key idea of our product is that it solves the problems of processing, storing and analyzing a large amount of continuously incoming data, mainly geolocation data. It is intended primarily for application software developers and DBAs (Database Administrators). Our main goal is to provide the user with a simple yet flexible and functional tool for working with data.
- How is your project different from KeyDB?
When developing our product, we took KeyDB as a basis, as an improved version of the Redis sub-database, easy and understandable to learn and operate. The difference between fluidB and KeyDB lies in the implementation of a shell module that allows you to run external modules (programs) that extend the basic functionality of the application without explicitly specifying the path to the module in the configuration file.
- What is the multi-model database management system? A multi-model subdivision is such a subdivision that allows you to store data using different data storage schemes. For example, along with relational data (stored in the form of tables), data can be stored in the form of associative array, etc. Thus, incredible flexibility in storing data is achieved, depending on the type of data, the most suitable tool for storing and processing it is used.
- Is there a fluidB implementation for the Windows operating system? No, there is no implementation of FluidB for the Windows operating system. our application is client-server, with on-board caching subdivision, focused on use mainly on servers, and the vast majority of servers run under the Linux operating system. We do not plan to release a version for Windows in the future.
- Is fluidB in Linux repositories?
No, FluidB is still distributed as source.
- Is there a docker image of the project? No, there is no docker image, because docker, like any virtualization environment, forms an additional layer of abstraction, which complicates both the development process itself and the program operation process. Our goal: "To create a high-performance subassembly that is as easy to use as possible"
- Why are you confident that you will be able to create a high-quality, competitive software product that people need?
For several reasons. First, because our product is based on the well-proven Redis DBMS. Secondly, our software product is already used as a backend in the ws-stickleback project "Biology and Soil" of the Faculty of the Department of Ichthyology and Hydrobiology, St. Petersburg State University
- Is there a paid version of your software product with advanced functionality?
There is such a version, it is calledEnterprise-version, this version includes both the functionality required by the client (discussed individually with each client) and the default functionality.
- How is authorization used?
- How does your product name stand for?
The name of our project is deciphered as follows: FluidB, this is a reference to the English word "fluid", which means "fluid" - a physical term meaning "a state of matter with parameters above critical", which very accurately characterizes our product. A critical state of a substance means a state in which it disappears the difference between its liquid and vapor phases. This is illustrated by the colors of the logo: At first, there is no load on the application (blue Greek letter "Phi"), then it increases sharply (three red subsequent letters), then the load begins to decrease and evenly distribute- orange symbol, differential, showing the rate of change of the value of the variable during balancing, and finally it is evenly distributed and becomes normal (seventh blue symbol). In our case, it should be interpreted as follows: thanks to our product, the line between low loads and very high loads is erased, i.e. to. it helps balance the load. A couple of words should be said separately about the symbol of the "flower" standing in front of the inscription: It personifies the mathematical graph of objects, tk. our subd is a multi-model supporting graph data storage model.
- I have decided to purchase the Enterprise version of your product, where should I contact?
You shoud write the letter in email: email@example.com
- Raft implementation for SQL-module (fluSQL)
- Adapt application-server to the core database management system
- Allow rebalancing of connections to different threads after the connection
- Allow multiple readers access to the hashtable concurrently
- Raft implementation for core databases
Grigoriy Safronov - firstname.lastname@example.org
Project Link: https://fluidb.icu