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Finder nodes will load the filenames and sizes of all objects from the destination bucket or destination prefix (if you have specified a specific prefix).
Then, they will scan the objects in the source bucket or source prefix (if you have specified a specific prefix) to determine which data needs to be transferred.
Therefore, the amount of memory required for a Finder Job depends on the total number of objects in your dataset. Please refer to the table below for recommendations:
Total Object #*
Recommended Memory
<20 Million
8GB
40 Million
16GB
80 Million
32GB
160 Million
64GB
320 Million
128GB
640 Million
256GB
960 Million
384GB
1280 Million
512GB
>1280 Million
Doesn't support for now. Recommend dividing into multiple tasks. Or using Finder Depth and Finder Number to tuning the task.
Total Object # refers to the total number of unique objects from both the Source and Destination after removing duplicates.
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Finder nodes will load the filenames and sizes of all objects from the destination bucket or destination prefix (if you have specified a specific prefix).
Then, they will scan the objects in the source bucket or source prefix (if you have specified a specific prefix) to determine which data needs to be transferred.
Therefore, the amount of memory required for a Finder Job depends on the total number of objects in your dataset. Please refer to the table below for recommendations:
Total Object # refers to the total number of unique objects from both the Source and Destination after removing duplicates.
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