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Backup

Last updated: Sep 07, 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:

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):

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

    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:

    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:

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

    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.

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Kafka Engine

ClickHouse provides a table engine called Kafka Engine to consume Kafka messages, convert the messages into table rows, and persist the table rows into the destination table. Although a Kafka engine can be configured with multiple topics, a Kafka engine can only have one table schema defined. PostHog uses the Kafka engine type for several tables: Note: SELECT is not particularly useful for reading messages (except for debugging), because each message can be read only once. You will lose…

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