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docs/bucket/lifecycle/README.md
Enable object lifecycle configuration on buckets to setup automatic deletion of objects after a specified number of days or a specified date. ## 1. Prerequisites - Install MinIO - [MinIO Quickstart Guide](https://min.io/docs/minio/linux/index.html#quickstart-for-linux).
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docs/config/README.md
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docs/erasure/storage-class/README.md
- Greater than `REDUCED_REDUNDANCY` parity, if it is set. Parity blocks can not be higher than data blocks, so `STANDARD` storage class parity can not be higher than N/2. (N being total number of drives) The default value for the `STANDARD` storage class depends on the number of volumes in the erasure set: | Erasure Set Size | Default Parity (EC:N) | |------------------|-----------------------| | 5 or fewer | EC:2 |
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docs/bucket/notifications/README.md
queue_dir (path) staging dir for undelivered messages e.g. '/home/events' queue_limit (number) maximum limit for undelivered messages, defaults to '100000' max_open_connections (number) maximum number of open connections to the database, defaults to '2' comment (sentence) optionally add a comment to this setting ```
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docs/distributed/README.md
- **MinIO creates erasure-coding sets of _2_ to _16_ drives per set. The number of drives you provide in total must be a multiple of one of those numbers.** - **MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set**.
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docs/logging/README.md
NOTE: - `timeToFirstByte` and `timeToResponse` will be expressed in Nanoseconds. - Additionally in the case of the erasure coded setup `tags.objectErasureMap` provides per object details about - Pool number the object operation was performed on. - Set number the object operation was performed on. - The list of drives participating in this operation belong to the set. ```json { "version": "1",
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docs/compression/README.md
streaming compression due to its stability and performance. This algorithm is specifically optimized for machine generated content. Write throughput is typically at least 500MB/s per CPU core, and scales with the number of available CPU cores. Decompression speed is typically at least 1GB/s. This means that in cases where raw IO is below these numbers compression will not only reduce disk usage but also help increase system throughput.
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