How can I improve Playlist load speed?

This is not a bug. Playlists load almost instantaneously in my environment on multiple media devices (flash & SSD).

Here are some tips to improve your result speed.

  • PRIME 4 supports a 2.5" SATA hard drive; either HDD or SSD. We’d recommend SSD as they are not only more reliable due to no moving mechanical parts, but they also have much quicker read/write speeds than conventional spinning disk drives (Yes, even if they are 3.0).
  • Choose a well-known brand drive like Sandisk, Samsung, Crucial, Intenso, WD.
  • All storage media connected to the PRIME 4 should be formatted to either FAT32 or exFAT with an MBR (Master Boot Record) style partition structure. For larger file systems (1TB and greater) we recommend formatting drives to the exFAT format.
  • There is no drive capacity size limitation, this is to support DJs with larger uncompressed file collections (WAV, AIFF, FLAC etc).
  • The size of your collection will impact search speed results. The larger the collection, the more metadata to search. We have tested collections up to 50’000 songs with good results. If your collection is larger than 50’000, we’d recommend either splitting your collection into 2 separate devices or partitions.
  • Ensure your collection is fully analyzed by Engine Prime before transferring to the drive.
  • PRIME 4 allows you to search within a variety of track metadata fields such as Artist, Title, Album, Comment etc… To reduce the search result time, tap the down arrow next to the search field magnifying glass. This will allow you to enable or disable metadata search fields by tapping them. Disable all fields that are not required for your search criteria.
  • If you use the search field regularly, you may find plugging in an external USB keyboard helpful, a handy shortcut to use is CTRL + F to bring up the search page on PRIME 4. Just to add, we are looking into optimizing the performance of read and search times for larger collections.

Just to add, we are actively looking into ways to optimize the result return speeds for larger collections. We plan to continually roll out improvements over time as progress is made.