![]() ![]() The directory 20130801-1223942093224 is created on /space/incremental so that when the backup 20130801-1223942093224 is purged, its incremental backups can be purged easily. In this example, the backup directory (backup-dir) is /space/backup and the incremental backup directory (incremental-dir) is /space/incremental. The second part, 1223942093224, is the hour, minute, second, and nanosecond of the backup. The first part, 20140801, is the year, month and day of the backup. In this first example, the backup directory (backup-dir) is /space/backup and the incremental backup directory (incremental-dir) is not used: /space/backupsĢ0140801-1223942093224 (full backup on 8/1)ġ341007528950 (incremental backup on 8/3) Incremental backups are stored in the directory under the full backup. įor example, if you back up a database to the /space/backups directory on September 1, 2004, a directory structure similar to the following is created: /space/backups The following is the basic backup directory structure. Each of these subdirectories contain one backup. The backup directory structure for each host is the same, except that the forests are only backed up on the host from which they are served.īelow the specified backup directory, a subdirectory is created with a name based on the date when the backup begins. Because of the importance of database backup integrity, MarkLogic recommends backing up to a reliable filesystem. That directory must exist on each host in your configuration, and must be readable and writable by the user running MarkLogic Server (by default daemon on UNIX and the local System user on Windows). When you back up a database, you specify a backup directory. ![]() Semaphore AI Technology Create and manage metadata and transform information into meaningful, actionable intelligence with Semaphore, our no-code metadata engine.A database, search engine, data integration tool, and more, all rolled into one. MarkLogic Server Unlock value from complex data and power new opportunities with MarkLogic Server.MarkLogic Data Platform Simplify your most complex data challenges, unlock value, and achieve data agility with the MarkLogic Data Platform.Lower Backup TCO with Self-Protecting Storage. Retaining multiple copies of data provides the insurance and flexibility to restore to a point in time not affected by data corruption or malicious attacks. The more time passes between backup copies, the more potential for data loss when recovering from a backup. ![]() The possibility of weather-related events may justify having copies of data at remote locations.įor best results, backup copies are made on a consistent, regular basis to minimize the amount data lost between backups. The alternate medium can be in the same location as the primary data or at a remote location. This additional medium can be as simple as an external drive or USB stick, or something more substantial, such as a disk storage system, cloud storage container, or tape drive. Storing the copy of the data on separate medium is critical to protect against primary data loss or corruption. Backup copies allow data to be restored from an earlier point in time to help the business recover from an unplanned event. Primary data failures can be the result of hardware or software failure, data corruption, or a human-caused event, such as a malicious attack (virus or malware), or accidental deletion of data. The purpose of the backup is to create a copy of data that can be recovered in the event of a primary data failure. Recovery from a backup typically involves restoring the data to the original location, or to an alternate location where it can be used in place of the lost or damaged data.Ī proper backup copy is stored in a separate system or medium, such as tape, from the primary data to protect against the possibility of data loss due to primary hardware or software failure. This is sometimes referred to as operational recovery. Backup and recovery describes the process of creating and storing copies of data that can be used to protect organizations against data loss. ![]()
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