I’m evaluating a fresh Pydio Cells install inside VirtualBox and running into very slow sync speeds when trying to sync a folder with lots of small files. I’m wondering if someone can try running the same benchmark and report their results.
I’ve started the sync 45 minutes ago and the current status is:
The folder it’s syncing has approximately 305.031 items and is 2,91 GB in size. The screenshot shows 4.55 GB but that’s only because I tried a single 2.86 GB file first. Syncing one large file wasn’t so slow.
The test is to sync the extracted contents of the Firefox source code.
I installed Cells with Docker:
version: '2' services: cells: image: pydio/cells:latest restart: unless-stopped ports: ["8080:8080"] volumes: - /mnt2/cells-test:/var/cells environment: - CELLS_LOG_LEVEL=production - CELLS_BIND=192.168.1.174:8080 mysql: image: mysql:5.7 restart: unless-stopped ports: ["3306:3306"] environment: MYSQL_ROOT_PASSWORD: P@ssw0rd MYSQL_DATABASE: cells MYSQL_USER: pydio MYSQL_PASSWORD: P@ssw0rd command: [mysqld, --character-set-server=utf8mb4, --collation-server=utf8mb4_unicode_ci]
CellsSync is installed on a Mac in the same LAN. Both machines use a wired gigabit connection (no WiFi).
I remember trying several alternatives years ago and only Seafile synced quickly for folders with many small files. Later I tried Resilio Sync, which is also fast. Is it possible to get good performance with folders like this using Pydio? Or is Pydio not suitable for this workload?