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docs/bucket/versioning/README.md
MinIO versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.
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README.md
efficiently makes your stuff load faster and saves bandwidth. OkHttp is an HTTP client that’s efficient by default: * HTTP/2 support allows all requests to the same host to share a socket. * Connection pooling reduces request latency (if HTTP/2 isn’t available). * Transparent GZIP shrinks download sizes. * Response caching avoids the network completely for repeat requests.
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docs/metrics/prometheus/grafana/README.md
[Grafana](https://grafana.com/) allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture. ## Prerequisites - Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).
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docs/batch-jobs/README.md
``` mc batch status myminio/ E24HH4nNMcgY5taynaPfxu ●∙∙ Objects: 28766 Versions: 28766 Throughput: 3.0 MiB/s Transferred: 406 MiB Elapsed: 2m14.227222868s CurrObjName: share/doc/xml-core/examples/foo.xmlcatalogs ``` ### 'describe' the batch job yaml. ``` mc batch describe myminio/ E24HH4nNMcgY5taynaPfxu replicate: apiVersion: v1 ...
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docs/bigdata/README.md
``` spark.hadoop.fs.s3a.access.key minio spark.hadoop.fs.s3a.secret.key minio123 spark.hadoop.fs.s3a.path.style.access true spark.hadoop.fs.s3a.block.size 512M spark.hadoop.fs.s3a.buffer.dir ${hadoop.tmp.dir}/s3a spark.hadoop.fs.s3a.committer.magic.enabled false spark.hadoop.fs.s3a.committer.name directory spark.hadoop.fs.s3a.committer.staging.abort.pending.uploads true spark.hadoop.fs.s3a.committer.staging.conflict-mode append
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operator/README.md
creating a [bug or feature request](../BUGS-AND-FEATURE-REQUESTS.md), or just coming to the weekly [Environments Working Group](https://github.com/istio/community/blob/master/WORKING-GROUPS.md) meeting to share your ideas. This document is an overview of how the operator works from a user perspective. For more details about the design and architecture and a code overview, see [ARCHITECTURE.md](../architecture/environments/operator.md).
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docs/erasure/README.md
## What is Erasure Code?
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ci/official/README.md
# export TFCI=py311,linux_x86,no_docker # Advanced: Use Remote Build Execution (RBE) (internal developers only) # # RBE dramatically speeds up builds and testing. It also gives you a # public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove
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docs/distributed/README.md
**NOTE:**
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