Comments (3)
Currently, JuiceFS does NOT merge small files together to reduce the PUT calls, because that will slow down future read and make it harder the manage the life cycle of data. We had tried this before, it does not work well, so abandoned.
JuiceFS could cache the small files in your local disk, if you read them frequently. So it can reduce the cost for GET requests.
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Thank you for the quick confirmation.
I understand your comments about making lifecycle management more complicated.
However, S3 supports range-based retrievals. So it should actually be possible to make retrievals across multiple S3 sub-objects faster as you could parallelise the range reads across multiple objects.
from juicefs.
That's true if we disable the compression in JuiceFS. But the caching is still a problem, for example, in order to cache a tiny file, you have to cache all the other files in same 4MB block.
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Related Issues (20)
- sync: Delete leading slash in absolute path incorrectly
- Directory modified during backup
- Support --shards on objbench command
- Support Bunny Object Storage HOT 19
- Can't sync from s3 to s3
- Bump Go Dependency to 1.20+
- Support Go 1.22 HOT 1
- The mount point is NOT ready in 10 seconds HOT 1
- CMD: Refactor Operating System-Specific Code in cmd HOT 1
- read file panic , version: 1.2.0-dev+2024-01-15.b1b6d291
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- add `--domain` for gateway to enable virtual-host-style request
- please make this pika/codis compatible. HOT 1
- Support block storage without Multi-Attach HOT 1
- cmd/warmup: support `--check` and `--evict` options
- Add cache-expire config in Juice Hadoop SDK HOT 1
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