Faster Galera SST times using options.Find a corrupted innodb table or a corrupted index from index id.Faster streaming backups using mariabackup and pigz.Fixing Error: InnoDB: (Duplicate key) writing word node to FTS auxiliary index table.Security tasks: Migrate from the mysql_native_password authentication plugin.Security: Use roles to manage user privileges.With Oracle acquisition of MySQL, the database giant now develops and supports the open source. Streaming backups in parallel using pssh MySQL works more efficiently for small, cloud-based applications and systems, while PostgreSQL is more effective for companies working with big data and complex queries.These tables can be linked or related based on data that is common to each. PostgreSQL and MySQL are relational databases that organize data into tables. Streaming backups in parallel using tee Similarities and differences in the uses, benefits, features and characteristics of PostgreSQL and MySQL.In the end I came to the conclusion that I need to spend more time with PostgreSQL specifically its biggest feature gap it had with MySQL until recently i.e. But in terms of overall search traffic all database related searches are going down.Īn interesting sidenote, both MySQL and PostgreSQL have added JSON datatypes recently, so both databases are trying to adapt to the changes driven by trend to interactive webpages controlled by javascript. Yes MySQL is still clearly the most searched for term in relation to SQL databases, JSON related stuff is trending up. So my question remains partially un-answered. By 2015 those type of searches have been overwhelmed by searches such as fb and facebook. I came to the conclusion that back in ’em olden days of the web, back in ’04, the searches were far more technical. News of the death of NoSQL are over-stated. Javascript, Node.js ,JSON and hence JSON datastores such as MongoDB are trending up from a very low base. Turns out MySQL still is the fairest, but all the main relational/SQL databases have trended down over time. ![]() ![]() Modern SQL in PostgreSQL from Markus WinandĪfter all this I decided to consult with the magic mirror…
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