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pg-promise - Promises/A+ interface for PostgreSQL
Promises interface for PostgreSQL
postgresql nodejs promises transaction promise-library typescript pg promise postgres postgresql-client postgresql-driver postgresql-librarycointrol - ฿ Bitcoin trading bot with a real-time dashboard for Bitstamp.
Cointrol is a Bitcoin trading bot and real-time dashboard for Bitstamp created by @jakubroztocil.Cointrol was created to automate Bitcoin speculation. Besides automated trading based on price change triggers and various trading strategies, it also provides a real-time updated dashboard for your Bitstamp account where you can see all your orders and transactions real-time updated (something Bitstamp lacks). The dashboard for a real-time updated overview can also be used standalone without letting Cointrol make any transactions.
bitcoin bot bitstamp trade transaction automation jakubroztocilCAP - CAP is a library based on
CAP is a library based on .Net standard, which is a solution to deal with distributed transactions, also has the function of EventBus, it is lightweight, easy to use, and efficiently.In the process of building an SOA or MicroService system, we usually need to use the event to integrate each services. In the process, the simple use of message queue does not guarantee the reliability. CAP is adopted the local message table program integrated with the current database to solve the exception may occur in the process of the distributed system calling each other. It can ensure that the event messages are not lost in any case.
kafka rabbitmq eventbus dotnetcore distributed-transactions transaction microservicesnappydata - SnappyData - The Spark Database. Stream, Transact, Analyze, Predict in one cluster
Apache Spark is a general purpose parallel computational engine for analytics at scale. At its core, it has a batch design center and is capable of working with disparate data sources. While this provides rich unified access to data, this can also be quite inefficient and expensive. Analytic processing requires massive data sets to be repeatedly copied and data to be reformatted to suit Spark. In many cases, it ultimately fails to deliver the promise of interactive analytic performance. For instance, each time an aggregation is run on a large Cassandra table, it necessitates streaming the entire table into Spark to do the aggregation. Caching within Spark is immutable and results in stale insight. At SnappyData, we take a very different approach. SnappyData fuses a low latency, highly available in-memory transactional database (GemFireXD) into Spark with shared memory management and optimizations. Data in the highly available in-memory store is laid out using the same columnar format as Spark (Tungsten). All query engine operators are significantly more optimized through better vectorization and code generation. The net effect is, an order of magnitude performance improvement when compared to native Spark caching, and more than two orders of magnitude better Spark performance when working with external data sources.
snappydata spark memory-database analytics stream transaction scaleincubator-shardingsphere - Distributed database middleware
Distributed database middleware ecosphere
transaction shard-databases jdbc microservice cloud-native distributed-database orchestrationcetus - 专注于稳定、性能和分布式事务的MySQL数据库中间件
专注于稳定、性能和分布式事务的MySQL数据库中间件
mysql xa sharding distributed transaction performance tcp-streamRaincat - 2PC分布式事务中间件（Implement by 2 pc）
2PC分布式事务中间件（Implement by 2 pc）
spring-cloud spi dubbo netty spring jdk8 tcc soa transactionsharding-sphere - Distributed database middleware
Distributed database middleware ecosphere
transaction shard-databases jdbc microservice cloud-native distributed-database orchestrationsnappydata - Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™
SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. For instance, there is no need to often pre-aggregate/reduce or generate cubes over your large data sets for ad-hoc visual analytics. This is made possible by smartly managing data in-memory, dynamically generating code using vectorization optimizations and maximizing the potential of modern multi-core CPUs. SnappyData enables complex processing on large data sets in sub-second timeframes.
spark stream scale analytics transaction memory-database snappydatabitcore - A full stack for bitcoin and blockchain-based applications
Bitcore is a infrastructure to build Bitcoin and blockchain-based applications for the next generation of financial technology. It is a full bitcoin node, your apps run directly on the peer-to-peer network. For wallet application development, additional indexes have been added into Bitcoin for querying address balances, transaction history, and unspent outputs.
bitcoin transaction p2p ecies blockchain payment bip21 bip32 bip37 bip69 bip70 multisigNarayana - Open Source Transaction Manager
Narayana is the premier open source transaction manager. It has been used extensively within industry and to drive standards including the OMG and Web Services. The Narayana transaction suite protects businesses from data corruption by guaranteeing complete, accurate business transactions for Java based applications. It has built in failure recovery components that handle failures automatically with no manual intervention required.
transaction-manager transaction jts jtatidis - Distributed transactional NoSQL database, Redis protocol compatible using tikv as backend
Tidis is a Distributed NoSQL database, providing a Redis protocol API (string, list, hash, set, sorted set), written in Go. Tidis is like TiDB layer, providing protocol transform and data structure compute, powered by TiKV backend distributed storage which use Raft for data replication and 2PC for distributed transaction.
redis nosql database tikv 2pc raft distributed-nosql-database transaction-storage transaction rocksdbmemdb - Distributed Transactional In-Memory Database (全球首个支持分布式事务的MongoDB)
Copy default config file from node_modules/memdb-server/memdb.conf.js to ~/.memdb/ (mkdir if not exist), and modify it on your need. Please read comments carefully. See the video bellow, note how ACID transaction work cross multiple shards.
mongodb transaction mongoose newsql distributed database memoryopenmessaging-java - OpenMessaging Runtime Interface for Java
openmessaging specification for java
queue transaction pull push batch routing filtering streaming metrics tracing asynchronous oneway multi-tenantLearning-Bitcoin-from-the-Command-Line - The best way to learn to learn deeply about bitcoin is to avoid GUIs (even bitcoin-qt), and instead learn it from the command line
This is a tutorial for working with Bitcoin (and Lightning) that teaches direct interact with the severs themselves, as the most robust and secure way to begin cryptocurrency work. NOTE: This is a draft in progress, so that I can get some feedback from early reviewers. It is not yet ready for use.
bitcoin cli raw-transactions bitcoin-setup sending-bitcoin-transactions p2sh bitcoin-scripts multisig sending-coins transaction controlling-bitcoin-transactions blockchaintransient - A full stack, reactive architecture for general purpose programming
It's a bit mind bending in that it's like using a higher-level list monad, but it's very, very cool. For beginning Haskellers, what would be really useful is a visualisation of what happens when you do various distributed/parallel stuff. It's almost shocking how effortlessly you can run computations across threads/nodes. The cool part is the composability in the distributed setting. You can make higher-order monadic functions that allow you to compose & reuse a long chain of distributed transactions via wormhole and teleport. Another benefit is that the transaction becomes first class and you can see exactly what's going on in one place instead of distributing the logic across actors making the code equivalent to event callbacks, as you've stated.
distributed-computing web events threading composition backtracking composability haskell transaction concurrencybitcore-lib - A pure and powerful JavaScript Bitcoin library
A pure and powerful JavaScript Bitcoin library.Bitcoin is a powerful new peer-to-peer platform for the next generation of financial technology. The decentralized nature of the Bitcoin network allows for highly resilient bitcoin infrastructure, and the developer community needs reliable, open-source tools to implement bitcoin apps and services.
bitcoin transaction address p2p ecies cryptocurrency blockchain payment bip21 bip32 bip37 bip69 bip70 multisigCovenantSQL - a SQL database with Blockchain features.
CovenantSQL is still under construction and Testnet is already released, have a try.
database blockchain sql consensus rpc-framework crowdsourcing bft p2p crypto encryption decentralized storage sql-92 covenant immutable history-tracking db-api jdbc-api iot transactionquick-pomelo - A Much Better Pomelo Game Server Framework (网易Pomelo框架深度优化版)
Quick-pomelo is based on pomelo, have a draft idea of pomelo framework is required. Quick-pomelo use memdb for underlaying data storage, so understanding memdb is required.
quick pomelo memdb game framework transaction
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