Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database! - graphile/postgraphile
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.
Objection.js is an ORM for Node.js that aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while keeping magic to a minimum.
PostgREST is a standalone web server that turns your PostgreSQL database directly into a RESTful API. The structural constraints and permissions in the database determine the API endpoints and operations.
For many years MySQL and PostgreSQL were competing databases, which addressed slightly different audiences. Here's why you always should go for PostgreSQL!
I’ve found it really hard to find good examples on the internet on how to build an API using Node.js and Postgres on Lambda and API Gateway so I’ve decided I’ll make my first blog here on Medium…
One of the things we love most about PostgreSQL is the ease with which one can define new aggregate functions with even a language as succinct as SQL. Normally when we have needed a median function, we've just used the built-in median function in PL/R as we briefly demonstrated in Language Architecture in PostgreSQL.
Partially. The text is inserted, but the warning is still generated.
I found a discussion that indicated the text needed to be preceded with 'E', as such:
insert into EscapeTest (text) values (E'This is the first part \n And this is the second');
This suppressed the warning, but the text was still not being returned correctly. When I added the additional slash as Michael suggested, it worked.
As such:
insert into EscapeTest (text) values (E'This is the first part \\n And this is the second');
Tuning your PostgreSQL database is somewhat of a black art. While documentation does exist on the topic, many people still find it hard to get all the power out of their system. This article aims to help demystify PostgreSQL database performance tuning.