Search Results for "sql queries"
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Showing 21 open source projects for "sql queries"
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sqlc
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. Here's how it works. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. Seriously, it's that easy. You don't have to write any boilerplate SQL querying code ever again. See the current list of supported programming languages and databases. sqlc needs to know your database schema and queries in order to generate code. -
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SPQR
Stateless Postgres Query Router
SPQR is a sharding proxy for PostgreSQL that enables horizontal scalability by distributing queries across multiple PostgreSQL instances. Designed for large-scale, multi-tenant architectures, SPQR routes, rewrites, and manages SQL queries to ensure they are executed efficiently across shards. It provides a PostgreSQL-compatible interface so applications can scale transparently without code changes. -
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FerretDB
A truly Open Source MongoDB alternative
...FerretDB is going to be a perfect solution for those looking for MongoDB development experience available as fully Open Source Software. The core of our solution is a stateless proxy, which converts MongoDB protocol queries to SQL, and uses PostgreSQL as a database engine. This will be compatible with MongoDB drivers, and should work as a drop-in replacement to MongoDB in many cases. Our vision is to enable the open source community and developers to reap the benefits of easy-to-use document databases, while staying away from vendor lock-in, and fauxpen licenses. ... -
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Bob
SQL query builder and ORM/Factory generator for Go
Bob is a SQL query builder for Go that emphasizes composability, type safety, and maintainability. It allows developers to construct dynamic queries in a programmatic and reusable way, supporting both simple and complex SQL logic. Bob helps avoid raw string concatenation, making Go-based database interactions more robust and testable. -
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Noisia
Harmful workload generator for PostgreSQL
noisia is a PostgreSQL workload generator designed for testing and benchmarking query performance. It simulates real-world SQL traffic by replaying or generating workloads based on defined query profiles. noisia is useful for stress testing databases, tuning configurations, and validating changes in performance-sensitive environments. -
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Genji
Document-oriented, embedded SQL database
Genji is an embedded database written in Go that aims to simplify dealing with data in the modern world. It combines the power of SQL with the versatility of documents to provide a maximum of flexibility with no compromise. Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. ... -
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go-mysql-server
A MySQL-compatible relational database with a storage agnostic query
go-mysql-server is a data-source agnostic SQL engine and server which runs queries on data sources you provide, using the MySQL dialect and wire protocol. A simple in-memory database implementation is included, and you can query any data source you want by implementing your own backend. Dolt, a SQL database with Git-style versioning, is the main production database implementation of this package. -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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PostgreSQL client and ORM for Golang
Golang ORM with focus on PostgreSQL features and performance
Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using... -
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Go MySQL Driver
MySQL driver for Go's (golang) database/sql package
...Connections over TCP/IPv4, TCP/IPv6, Unix domain sockets or custom protocols. Automatic handling of broken connections, as well as automatic Connection Pooling (by database/sql package). Supports queries larger than 16MB. Full sql.RawBytes support. It provides intelligent LONG DATA handling in prepared statements. Secure LOAD DATA LOCAL INFILE support with file allowlisting and io.Reader support. Optional time.Time parsing, as well as optional placeholder interpolation. db.SetConnMaxLifetime() is required to ensure connections are closed by the driver safely before connection is closed by MySQL server, OS, or other middlewares. ... -
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Prisma Client Go
Prisma Client Go is an auto-generated and fully type-safe database
...Model your data in the Prisma schema in a human-readable format. Prisma Client is a query builder that composes queries the way you think and is auto-generated from the Prisma schema with types tailored to your app. Prisma Migrate automatically generates SQL database migrations, that are fully customizable, enabling you to make changes to the database without generating migration files. -
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Dolt
Dolt, it's Git for data
Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository. Connect to Dolt just like any MySQL database to run queries or update the data using SQL commands. Use the command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes. All the commands you know for Git work exactly the same for Dolt. -
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Scany
Library for scanning data from a database into Go structs and more
Go favors simplicity, and it's pretty common to work with a database via driver directly without any ORM. It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. It allows developers to scan complex data from a database into Go structs and other composite types with just one... -
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pREST
PostgreSQL REST, low-code, simplify and accelerate development
pREST (PostgreSQL REST), simplify and accelerate development, instant, realtime, high-performance on any Postgres application, existing or new. There is PostgREST written in Haskell, but keeping Haskell software in production is not an easy job. With this need pREST was born. Instant, realtime, high-performance on any Postgres application, existing or new. Add the JWT Authentication Middleware to implement authentication using JSON Web Token. This middleware will process the authorization... -
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DbTpl
Command line tool to generate idiomatic Go code for SQL databases
dbtpl is a Go-based tool that brings templated SQL into your codebase in a clean and structured way. It allows developers to define raw SQL queries in .tpl.sql files and compile them into Go code with strong typing and minimal overhead. By combining SQL’s power with Go’s safety and performance, dbtpl is ideal for teams that want full SQL control without sacrificing maintainability. -
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sqlx
general purpose extensions to golang's database/sql
...Named parameters and named prepared statements simplify queries that would otherwise rely entirely on positional bind variables. Convenience methods such as Get and Select reduce boilerplate when retrieving single records or collections, while additional helpers support expanded queries and driver-specific binding behavior. -
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FeatureBase
A crazy fast analytical database, built on bitmaps
FeatureBase is an Open Source, in-memory, MLAP engine providing SQL support, real-time updates, and analytical processing for your growing data. A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation. Simple or complex, FeatureBase knocks it out in milliseconds. On-the-fly updates and deletes. Operate instantly on your freshest data without the need for preaggregation. -
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EliasDB
EliasDB a graph-based database
...All stored data is indexed and can be quickly searched via a full text phrase search. EliasDB has a GraphQL interface which can be used to store and retrieve data. For more complex queries EliasDB has an own query language called EQL with an sql-like syntax. Includes a scripting interpreter to define alternative actions for database operations or writing backend logic. Written in Go from scratch. Only uses gorilla/websocket to support websockets for GraphQL subscriptions. The database can be embedded or used as a standalone application. -
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SQLer
write APIs using direct SQL queries with no hassle
sqler is a lightweight API gateway that automatically exposes your SQL database as a RESTful API. It allows developers to run parameterized SQL queries safely over HTTP, turning databases into microservices without writing backend code. sqler is great for prototyping, dashboards, and internal tools with quick database integration. -
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pg_flame
A flamegraph generator for Postgres EXPLAIN ANALYZE output
A flamegraph generator for Postgres EXPLAIN ANALYZE output. The pg_flame program reads a JSON query plan from standard input and writes the flamegraph HTML to standard output. Therefore you can pipe and direct input and output however you desire. Flamegraphs were invented by Brendan Gregg to visualize CPU consumption per code-path of profiled software. They are useful visualization tools in many types of performance investigations. Flamegraphs have been used to visualize Oracle database... -
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SQL Exporter
Database agnostic SQL exporter for Prometheus
...The collected metrics and the queries that produce them are entirely configuration-defined. SQL queries are grouped into collectors -- logical groups of queries, e.g., query stats or I/O stats, mapped to the metrics they populate. Collectors may be DBMS-specific (e.g,. MySQL InnoDB stats) or custom, deployment-specific (e.g., pricing data freshness). This means you can quickly and easily set up custom collectors to measure data quality, whatever that might mean in your specific case.
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