Tip
If you have data stored in an Amazon S3 bucket, then you can use datastores in MATLAB to directly access the data without needing any storage on the cluster. For details, see Transfer Data To Amazon S3 Buckets. You can also select files to add when creating your cluster.
To transfer individual files from an Amazon S3 bucket to the cluster machines, on the Create Cluster screen, next to Amazon S3 Data, click Add Files. Specify which files you want to make available to your cluster machines. You can specify S3 files only when creating your cluster and starting it for the first time.
When the cluster starts up, before the mjs process starts, specified files are copied to
/shared/imported
on the cluster’s shared file system. See Cluster File System and Storage. If any of the files is in
gzip
, tar
, or zip
file format, they
are automatically expanded in /shared/imported
.
Note
Transferring a large amount of data from your Amazon S3 account can cause the cluster to
time out during its startup. If your data size exceeds approximately 5 GB, start your
cluster without the S3 data transfer, then upload the necessary data to the cluster
/shared/persisted
folder from a local drive, as described in either
Transfer Data with Standard Utilities or Transfer Data with the remotecopy Utility.