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Backup

Last updated: Aug 09, 2022

On this page

  • Automated using clickhouse-backup
  • Manual

A critical requirement in order to generate a consistent backup is to "freeze" the dataset while the operation is in process. As with all database systems, consistent backups depend on the system to be in a "quiesced" state.

ClickHouse offers native "table freeze" support for backup and migration operations without having to halt the database entirely. This is a no-downtime operation.

Specifically to PostHog, we should back up all the tables using the MergeTree family type engine. To identify which tables you should back up, run the following command:

Terminal
clickhouse-client --query "SELECT name FROM system.tables WHERE database = 'posthog' AND engine LIKE '%MergeTree'"

As of today, you should get an list of tables like:

cohortpeople
events
events_dead_letter_queue
infi_clickhouse_orm_migrations
person
person_distinct_id
person_distinct_id2
person_distinct_id_backup
person_static_cohort
plugin_log_entries
session_recording_events

Automated using clickhouse-backup

The clickhouse-backup tool helps you to automate the manual steps above. It also offers native support for multiple backends and object stores like: local storage, FTP, SFTP, Azure Blob Storage, AWS S3, Google Cloud Storage, ...

Once configured, the tool provides a variety of sub-commands for managing backups. Creating a backup is as easy as running: clickhouse-backup create.

For more information please look at the official documentation.

Manual

To perform a manual backup, we will ask ClickHouse to freeze our tables, creating hard links to the table data. Hard links are placed in the directory /var/lib/clickhouse/shadow/N/ where N is the incremental number of the backup. The query creates the backup almost instantly, but first it will wait for the current queries to the corresponding table to finish running. After we created the backup, we can copy the data from /var/lib/clickhouse/shadow/ to a remote server or object store service and delete it from the local server.

In this specific example, we will backup the table events.

  1. Verify if the ClickHouse shadow directory is empty or does not exist (yet):

    Terminal
    ls -lah /var/lib/clickhouse/shadow/
  2. Ask ClickHouse to freeze the table events and backup its dataset:

    Terminal
    clickhouse-client --database "posthog" --query "ALTER TABLE events FREEZE"
  3. The ALTER TABLE events FREEZE query copies only the table data but not the table metadata. If you want to back that up, you can run:

    Terminal
    clickhouse-client --database "posthog" --query="SHOW CREATE TABLE events" --format="TabSeparatedRaw" | tee $TARGET_BACKUP_LOCATION/events.sql
  4. We can now copy our table data and metadata to a remote server or object store service. Example:

    Terminal
    cp -r /var/lib/clickhouse/shadow/ $TARGET_BACKUP_LOCATION
  5. Finally, let’s clear the content of the shadow directory:

    Terminal
    rm -rf /var/lib/clickhouse/shadow/*

Note: ClickHouse uses filesystem hard links to achieve instantaneous backups with no downtime (or locking). We can further leverage these hard links for efficient backup storage. On filesystems that support hard links (such as local filesystems or NFS), use cp with the -l flag (or rsync with the –hard-links and –numeric-ids flags) to avoid copying data.

When hard links are used, storage on disk is much more efficient. Because they rely on hard links, each backup is effectively a "full" backup, even though we avoided the duplicate use of disk space.

You can find more information about the ALTER FREEZE operation and more advanced backup use cases in the official documentation.

Questions?

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Next article

Debug hanging / freezing process

If a ClickHouse node is unresponsive and you don't know what is happening, you can easily check the stacktraces of all the working threads by running: If you can't run any query but you have access to the node running the process, you can execute the following command to send a TSTP signal to every thread of the process: Stack traces will be printed in the ClickHouse logs.

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Author

  • Paul Hultgren
    Paul Hultgren

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