If you’re well acquainted with using MySQL, you could also change your settings in my.ini or ~/.my.cnf files. Switching to Ethernet must solves the problem.Īlso, if you have an enormous collection, you should start the MySQL server with mysql –max_allowed_packet = 128M. Problem has been reproducible using Wifi connection, for instance. This solution relies on network performances. With slow network, digiKam hangs a lot of time especially when album contains many items (>1,000). There are some tips and recommendation to obtain the best results with a remote MySQL database server. This can take a while if you have a lot of items to register in database. Hit OK, and wait till digiKam populates the databases with data from photos. If everything works as it’s supposed to, switch to the Collections sections, and add the directories containing your photos. To check whether the database connection works properly, press the Check Connection button. To be connected safety to the remote server, enter your MySQL identification using User and Password fields. The last database is dedicated to store face histograms for recognition purpose. Use the Similarity Db Name field for that. The third database is dedicated to store the similarity finger-prints performed by the fuzzy search engine. Specify the name of the second database for storing wavelets compressed thumbnails in the Thumbs Db Name field. In the Core Db Name field, enter the name of the first database for storing photo metadata. The digiKam Remote Mysql Configuration Page ¶Įnter the IP address of your MySQL server in the Host Name field and specify the correct port in the Host Port field (the default port is 3306). Now, in digiKam, go to Settings ‣ Configure digiKam… and then under Database section, select MySQL Server from the drop down list. SET global log_bin_trust_function_creators = 1 MariaDB has actually overtaken MySQL, because of few basic reasons: Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB server is a community developed fork of MySQL server. MySQL currently works on almost all system platforms (Linux, Microsoft Windows, OS X, SunOS …). Sun Microsystems acquired MySQL in 2008, which was later acquired by Oracle in 2010. Original development of MySQL by Michael Widenius and David Axmark beginning in 1994. MySQL is an open-source, relational database management system, written in C and C++. The MySQL Database ¶ MySQL Versus SQLite ¶ The WAL SQLite mode is a very important option that we recommend to turn on with large databases to optimize transactions and improve performances. (By default, if you add your “Pictures” collection, the database files will be present in ~/Pictures folder). SQLite database files could be found in your collection folder, which you have added to digiKam. For performance and technical reasons relevant of SQLite, you cannot use a media from the network. A remote file system such as NFS cannot be used here. If you are already familiar with SQL, you will notice the differences between SQL standard and the SQL dialect used in SQLite.Take care to use a place hosted by fast hardware (such as SSD or NVMe) with enough free space especially for thumbnails database. You will first start querying data from the sample database. This section presents basic SQL statements that you can use with SQLite.
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