# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

		}
		if !ps.Participating {
			continue
		}
		// for participating pools, total bytes to be rebalanced by this pool is given by,
		// pf_c = (f_i + x)/c_i,
		// pf_c - percentage free space across pools, f_i - ith pool's free space, c_i - ith pool's capacity
		// i.e. x = c_i*pfc -f_i
		totalBytesToRebal := float64(ps.InitCapacity)*meta.PercentFreeGoal - float64(ps.InitFreeSpace)
		elapsed := time.Since(ps.Info.StartTime)

/**
 * A utility class that analyzes Maven POM files to identify memory usage patterns and potential memory optimizations.
 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \

# etcd V3 Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines.

## Get started

### 1. Prerequisites

- Docker 18.03 or above, refer here for [installation](https://docs.docker.com/install/).

### 2. Start etcd

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

        usedInWorkers = false
        usedInClient = false
        usedInDaemon = true
    }

    // TODO: Most of these properties are the same across projects. We should
    // compute these at the settings-level instead of the project-level.
    identity {
        baseName = "gradle-$name"
        buildTimestamp = buildTimestamp()
        promotionBuild = isPromotionBuild

				if i < retryCount-1 {
					time.Sleep(100*time.Millisecond + time.Duration(r.Float64()*float64(time.Second)))
					continue
				}
			}
			break
		}
	}()
}

// DeletePolicy - deletes policy across all peers.
func (sys *NotificationSys) DeletePolicy(ctx context.Context, policyName string) []NotificationPeerErr {
	ng := WithNPeers(len(sys.peerClients)).WithRetries(1)
	for idx, client := range sys.peerClients {

	return lockedOpenFile(path, flag, perm, syscall.LOCK_NB)
}

// LockedOpenFile - initializes a new lock and protects
// the file from concurrent access across mount points.
// This implementation doesn't support all the open
// flags and shouldn't be considered as replacement
// for os.OpenFile().
func LockedOpenFile(path string, flag int, perm os.FileMode) (*LockedFile, error) {