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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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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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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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README.md
access to port 9000 ```sh iptables -A INPUT -p tcp --dport 9000 -j ACCEPT service iptables restart ``` Below command enables all incoming traffic to ports ranging from 9000 to 9010. ```sh iptables -A INPUT -p tcp --dport 9000:9010 -j ACCEPT service iptables restart ``` ## Test MinIO Connectivity
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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/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/debugging/README.md
`xl-meta` accepts zip files as input and will output all `xl.meta` files found within the archive. For example: ``` $ mc support inspect play/test123/test*/xl.meta mc: File data successfully downloaded as inspect.6f96b336.zip $ xl-meta inspect.6f96b336.zip {
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