Search Results for "structs"

...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 function call and doesn't bother with row iteration.

...Supports native ClickHouse TCP client-server protocol. Compatibility with database/sql (slower than native interface!). Database/sql supports http protocol for transport. (Experimental). Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data.

...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 array tag and Array wrapper. Hstore using hstore tag and Hstore wrapper. go-pg supports 2 last Go versions and requires support for Go modules. So make sure to initialize a Go module. ORM supports has one, belongs to, has many, and many to many with composite/multi-column primary keys. ...

...Its database, transaction, statement, connection, and related types remain supersets of their standard-library equivalents. This allows existing database/sql applications to adopt additional functionality with relatively little restructuring. Query results can be mapped directly into structs, embedded structs, maps, and slices. 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.

...Built from the ground up with multiple dialects in mind. Insert, multi insert, update, and delete support. Scanning of rows to struct[s] or primitive value[s]. While goqu may support the scanning of rows into structs it is not intended to be used as an ORM if you are looking for common ORM features like associations, or hooks I would recommend looking at some of the great ORM libraries. The test suite requires a postgres, mysql and sqlserver databases.

The gen tool produces a CRUD (Create, read, update and delete) REST API project template from a given database. The gen tool will connect to the db connection string analyze the database and generate the code based on the flags provided. By reading details from the database about the column structure, gen generates a go-compatible struct type with the required column names, data types, and annotations. It supports gorm tags and implements some usable methods. Generated data types include...