The Postgres documentation also provides a helpful overall guide for conducting fast data inserts, populating your database, and avoiding common pitfalls in the process. This is where the COPY command becomes quite useful, as it allows you to load large sets of data into Postgres without needing to run a series of INSERT statements. Documentation on INSERT queries and their bretheren can be found in the Postgres documentation here.įor bulk insertions of data, which you will likely want to conduct if you have a high volume of data to load, other tools exist as well. Then, Postgres offers a number of methods for loading in data, and the best method varies depending on the quantity of data you have and the regularity with which you plan to load it.įor simple, day-to-day data insertion, running INSERT queries against the database directly are the standard SQL method for getting data added. Once you have identified all of the columns you will want to insert, you can use the CREATE TABLE statement in Postgres to create a table that can receive all of this data. Its syntax also forms the basis for querying Amazon Redshift, which makes migration between the two systems relatively painless and makes Postgres a good "first step" for developers who may later expand into Redshift's data warehouse platform. Postgres is often the best tool for the job as a back-end database for web systems and software tools, and cloud-based deployments are offered by most major cloud vendors. It is fully ACID-compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It runs on all major operating systems, including Linux, Unix, and Windows. The platform, despite being available for free via an open source license, offers enterprise-grade features including a strong emphasis on extensibility and standards compliance. It labels itself as "the world's most advanced open source database," and for good reason. PostgreSQL, known by most simply as Postgres, is a hugely popular object-relational database management system (ORDBMS).
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