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mongodb-backups

Production MongoDB backup and restore practices that the documentation gets wrong. Use when writing a mongodump/mongorestore pipeline, a backup cron job, an S3 backup, or a selective restore, or when planning recovery. Covers streaming to object storage with no temp file, saving a collection inventory, the --nsInclude trap on gzipped archives, collection tiering for fast restores, and matching write concern to data criticality. Defers replica-set topology and tuning to mongodb-replica-sets, and query patterns to mongodb-rules.

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TheDecipherist/claude-code-mastery-project-starter-kit
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27. Juni 2026 um 00:20
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
mongodb-backups
description
Production MongoDB backup and restore practices that the documentation gets wrong. Use when writing a mongodump/mongorestore pipeline, a backup cron job, an S3 backup, or a selective restore, or when planning recovery. Covers streaming to object storage with no temp file, saving a collection inventory, the --nsInclude trap on gzipped archives, collection tiering for fast restores, and matching write concern to data criticality. Defers replica-set topology and tuning to mongodb-replica-sets, and query patterns to mongodb-rules.
when_to_use
- Writing or reviewing a mongodump / mongorestore pipeline or backup cron job - Streaming a backup to S3 or other object storage - Doing a selective restore (only some collections) from a gzipped archive - Planning recovery, retention, or what to restore first during an incident - Do NOT use for replica-set setup or tuning (mongodb-replica-sets) or query shape (mongodb-rules)
# MongoDB Backups and Restore From running thousands of production backups. The defaults and the docs leave out the parts that bite during an actual restore. ## Dump from a secondary, stream straight to object storage Point mongodump at a secondary so the backup doesn't add load to the primary, and pipe the archive directly to S3 with no intermediate file on disk. On a replica set, `--oplog` captures a consistent point-in-time snapshot. ```bash mongodump --host mongodb-secondary.internal:27017 \ --username "$U" --password "$P" --authenticationDatabase admin \ --db "$DB" --oplog --gzip --archive \ | aws s3 cp - "s3://bucket/$DB/$(date +%Y%m%d_%H%M%S).dump.gz" ``` Keep a `latest.dump.gz` alias next to the timestamped file so restore scripts always know where to look. ## Save a collection inventory with every backup You cannot inspect a `--gzip --archive` after the fact. There is no list, peek, or inspect flag, it's an opaque binary blob, and `--dryRun` finishes before the archive is demuxed so it tells you nothing. So write the collection list at backup time, right beside the dump: ```bash mongosh --quiet --host "$HOST" -u "$U" -p "$P" --authenticationDatabase admin \ --eval "db.getSiblingDB('$DB').getCollectionNames().forEach(c => print(c))" \ | aws s3 cp - "s3://bucket/$DB/$(date +%Y%m%d_%H%M%S).collections.txt" ``` Six months later when you need a selective restore, you read the file instead of trying to remember what was in the archive. ## The `--nsInclude` trap on gzipped archives The docs say `--nsInclude` filters a restore to specific collections. It does, from a directory dump (one `.bson` per collection). But from a `--gzip --archive`, which is what almost every production pipeline uses, `--nsInclude` (and `--nsFrom`/`--nsTo`) silently restore everything anyway and throw duplicate-key errors on the collections you never asked for. The archive is a single multiplexed stream that mongorestore can't seek, so the namespace filter doesn't hold. This is real and long-standing (JIRA TOOLS-2023, open over six years). The reliable approach is the inverse: `--nsExclude` every collection you don't want, generated from the inventory file. Don't hand-build 100+ exclude flags at 2 AM, script it to read the inventory and emit the restore command. ## Tier collections so restore is a command, not improvisation Decide ahead of time what gets restored, and keep the lists in the restore script: - **Tier 1, critical business data** (orders, customers, products, inventory): always restore. - **Tier 2, regenerable** (sessions, caches, tokens, search indexes): never restore. Restoring stale sessions is worse than having none, you log people back into dead state. - **Tier 3, historical/analytical** (audit logs, history, analytics rollups): restore only on demand. This is the bulk of the exclude list. When the incident hits you want to run a command, not write one. ## A replica set is only a backup at `w:"majority"` Write concern quietly decides whether replication is durability or just a live mirror. `w:1` acknowledges on the primary alone, so a write lost before it replicates never existed anywhere else. `w:"majority"` means the data is on a majority of members before the app gets the OK. Match it to data criticality rather than setting one value globally: `w:"majority"` for data you can't lose, `w:1` for the regenerable and the disposable. See mongodb-replica-sets for the full read/write semantics. ## Test the restore before you need it A backup you've never restored is a hypothesis. Practice the selective restore in staging, and time how long a replica-set member rebuilds from zero (delete a secondary's data dir, restart, and watch `db.adminCommand({ replSetGetStatus: 1, initialSync: 1 }).initialSyncStatus`). That number is what tells you, at 2 AM, whether to wait for self-healing or restore from backup. Point-in-time recovery needs `--oplog` backups plus `mongorestore --oplogReplay --oplogLimit "<ts>:<inc>"`. One adjacent footgun that kills backups: unrotated MongoDB diagnostic logs fill the disk and the primary goes read-only. Set `systemLog.logRotate: rename` with rotation and alert on disk at 80%. --- This skill is built to grow. Add a rule when a real restore surprise has a stable, defensible fix.
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