This page is intended as a summary of MinIO Erasure Coding. For a more complete explanation, see <https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html>.

## Overview

MinIO supports two storage classes, Reduced Redundancy class and Standard class. These classes can be defined using environment variables
set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,

// which decides which condition it is useful to check if an object is dangling
//
//	  errs: errors from reading xl.meta in all disks
//	   err: reduced errs
//	bucket: the object name in question
func shouldCheckForDangling(err error, errs []error, bucket string) bool {
	// Avoid data in .minio.sys for now
	if bucket == minioMetaBucket {
		return false
	}

/**
 * One or more variables that together maintain an initially zero {@code long} sum. When updates
 * (method {@link #add}) are contended across threads, the set of variables may grow dynamically to
 * reduce contention. Method {@link #sum} (or, equivalently, {@link #longValue}) returns the current
 * total combined across the variables maintaining the sum.
 *

                                }
                            }
                        } finally {
                            deleteDir() // clean up after ourselves to reduce disk space
                        }
                    }
                }
            }
        }
    }
}

// run the parallel ITs
parallel(runITsTasks)

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.
Typically, enabling compression on spinning disk systems
will increase speed when the content can be compressed.

## Get Started

### 1. Prerequisites

                .filter(q -> StringUtil.isNotBlank(q) && q.length() <= maxQueryLength)
                .forEach(oq -> split(oq, " ")
                        .get(s -> s.filter(StringUtil::isNotBlank).reduce((q1, q2) -> escape(q1, "(", ")") + OR + escape(q2, "(", ")")))
                        .ifPresent(q -> {
                            appendQuery(queryBuf, q);
                        })));

 * **Be respectful**: We expect people to work together to resolve conflict, assume good intentions,
   and act with empathy. Do not turn disagreements into personal attacks.

 * **Be collaborative**: Collaboration reduces redundancy and improves the quality of our work. We
   strive for transparency within our open source community, and we work closely with upstream
   developers and others in the free software community to coordinate our efforts.

)
```

/// warning

As funções adicionais de suporte são apenas para demonstração de um fluxo possível dos dados, mas é claro que elas não fornecem segurança real.

///

## Reduzir duplicação

Reduzir a duplicação de código é uma das ideias principais no **FastAPI**.

   * storedPermits becomes 10.0 (assuming maxStoredPermits >= 10.0). At that point, a request of
   * acquire(3) arrives. We serve this request out of storedPermits, and reduce that to 7.0 (how
   * this is translated to throttling time is discussed later). Immediately after, assume that an
   * acquire(10) request arriving. We serve the request partly from storedPermits, using all the

  }

  /**
   * Returns a larger power of 2 hashtable size given the current mask.
   *
   * <p>For hashtable sizes less than or equal to 32, the returned power of 2 is 4x the current
   * hashtable size to reduce expensive rehashing. Otherwise the returned power of 2 is 2x the
   * current hashtable size.
   */
  static int newCapacity(int mask) {
    return ((mask < 32) ? 4 : 2) * (mask + 1);
  }