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internal/grid/README.md
fmt.Println("Got result", resp) // Return the response for reuse instance.PutResponse(resp) return nil }) ``` There are handlers for requests with: * No input stream: `RegisterNoInput`. * No initial payload: `RegisterNoPayload`. Note that Responses sent for serialization are automatically reused for similar requests.
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helm/minio/templates/_helper_create_bucket.txt
# Ensure bucket exists, purging if asked to createBucket() { BUCKET=$1 POLICY=$2 PURGE=$3 VERSIONING=$4 OBJECTLOCKING=$5 # Purge the bucket, if set & exists # Since PURGE is user input, check explicitly for `true` if [ $PURGE = true ]; then if checkBucketExists $BUCKET; then echo "Purging bucket '$BUCKET'." set +e # don't exit if this fails ${MC} rm -r --force myminio/$BUCKET
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docs/batch-jobs/README.md
- Fine grained filtering is available to pick relevant objects from source to copy from MinIO batch jobs framework also provides - Retrying a failed job automatically driven by user input - Monitoring job progress in real-time - Send notifications upon completion or failure to user configured target Following YAML describes the structure of a replication job, each value is documented and self-describing.
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docs/iam/opa.md
```sh cat > example.rego <<EOF package httpapi.authz import input default allow = false # Allow the root user to perform any action. allow { input.owner == true } # All other users may do anything other than call PutObject allow { input.action != "s3:PutObject" input.owner == false } EOF ``` Then load the policy via OPA's REST API. ```
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docs/bigdata/README.md
Add the following optimal entries for `hive-site.xml` to configure Hive with **MinIO**. ``` hive.blobstore.use.blobstore.as.scratchdir=true hive.exec.input.listing.max.threads=50 hive.load.dynamic.partitions.thread=25 hive.metastore.fshandler.threads=50 hive.mv.files.threads=40 mapreduce.input.fileinputformat.list-status.num-threads=50 ```
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docs/select/README.md
(*) Parquet is disabled on the MinIO server by default. See below how to enable it. ## Enabling Parquet Format Parquet is DISABLED by default since hostile crafted input can easily crash the server. If you are in a controlled environment where it is safe to assume no hostile content can be uploaded to your cluster you can safely enable Parquet.
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docs/lambda/README.md
object_context = event["getObjectContext"] # Get the presigned URL to fetch the requested # original object from MinIO s3_url = object_context["inputS3Url"] # Extract the route and request token from the input context request_route = object_context["outputRoute"] request_token = object_context["outputToken"] # Get the original S3 object using the presigned URL r = requests.get(s3_url)
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docs/iam/access-management-plugin.md
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docs/compression/README.md
Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78) which is a fitness factor for a lossless data compression. Pre-compressed input typically compresses in excess of 2GiB/s per core, so performance impact should be minimal even if precompressed data is re-compressed. Decompressing incompressible data has no significant performance impact.
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docs/distributed/DESIGN.md
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