This package is abandoned and no longer maintained. The author suggests using the lolli/dbdoctor package instead.

TYPO3 Database doctor - Find and fix TYPO3 database inconsistencies

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0.6.2 2024-03-19 13:18 UTC

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Last update: 2024-03-19 13:18:30 UTC


tests core v11 tests core v12

TYPO3 DB doctor


The mission of this extension is to find database inconsistencies that may have been introduced in a living TYPO3 instance over time, and to fix them.

As example, when a page tree is deleted by an editor, it sometimes happens that most pages are properly set to deleted, but some pages are missed, or a content element on one page is not deleted. This leads to orphan pages or content elements in the database.

There can be many reasons to end up with invalid database state like the above: TYPO3 in general has no referential integrity constrains on database tables, inconsistencies can be triggered by a dying PHP process, a lost DB connection, a core bug, a buggy extension, a broken deployment, and more. Long living active instances that were upgraded through multiple major core versions tend to end up with something that isn't quite right anymore.

Such inconsistencies can lead to further issues. For instance if a page is copied that has an orphaned localized record, the system tends to mess up localizations of the copied page, too. Editors then stumble and TYPO3 agencies have to do time-consuming debugging sessions to find out what went wrong.

This extension provides a CLI command that tries to find various such inconsistencies and gives admins options to fix them.


We're not aware of other open extensions that try to achieve the same in a similar systematic way. The core lowlevel extension comes with a couple of commands that try to clean up various DB state, but its codebase is rather rotten and hard to maintain.

This extension is not a substitution of lowlevel commands (yet?), it's more an incubator to see if a certain strategy dealing with inconsistencies actually works out in projects. It will grow over time. Maybe it ends up in the core, or the core refers to this extension as "maintenance" extensions in the future. We'll see.


The strategy of this command is to check for single things one-at-a-time and to fix them before going to the next check. Updates and deletes of not-ok records are done with low-level database queries directly, not using the DataHandler.

Single checks are carefully crafted and functional tested and the order in which they are executed is important. It can happen that a single check is run multiple times in the chain.

Single checks rather try to avoid memory consumption and assumed state at the cost of more queries being executed. Queries are often performed as prepared statements to re-use them often in a single check. Statements are properly closed when a single check finished, effectively using the PHP garbage collection. All-in-all, this command should be relatively quick even for big-sized instances, but it will hammer the database a lot.

Impact on Frontend rendering

When a health check finds something fishy, dbdoctor allows only one hard coded solution to deal with it. The user is not asked for a solution, it either accepts the proposed UPDATE or DELETE database changes, or it needs to abort and take care manually (and then restart).

Implementing a per-record question/answer feature to dbdoctor is not feasible since this would add an orthogonal vector of complexity to the system which would quickly render it unmaintainable: Single checks are designed to work on top of each other, dbdoctor needs to establish a "chain of correctness" to do its job.

There are usually three options for a specific "fix":

  • Hard delete the offending record
  • Set the record deleted=1 for soft-delete aware tables
  • Update the record to something "more correct"

The general strategy is to create as little damage as possible from a TYPO3 Frontend rending point of view.

For example, when there are two localizations for a default language record in a specific language, dbdoctor detects this as invalid and suggests to set one of them to deleted=1. From the two records, it will try to set the one deleted that is typically not rendered in Frontend.

This general strategy isn't always as simple as with the above example, tough: Since the TYPO3 Frontend rendering is so flexible, the actual rendered record sometimes depends on specific Frontend rendering details dbdoctor can't know. In those cases, dbdoctor tries to guess the least amount of damage. This may not always fit real life cases. The only solution to deal with this is to look at single record change suggestions individually. The interactive options p, d and s hopefully help to classify single suggested changes.


Even though this low level tool tries to be very careful and checks lots of details before suggesting a change, there are still some limits and assumptions: For example, the "delete" column of soft-delete aware TCA tables is assumed to be an integer column, and not a text or varchar or similar. The correct schema of this column is usually created by the core as long as there is no explicit definition of it in a ext_tables.sql file. However, if an extension gets this wrong and defines such a field in some broken way, dbdoctor may create hazard by suggesting delete or updates of all rows.

There are further assumptions: For instance, dbdoctor assumes some TCA settings the core provides for standard tables (especially pages, tt_content and sys_file_reference are not changed by extensions. As example, those tables are assumed to be both soft-delete aware and workspace aware, according fields are queried by dbdoctor on such tables, and dbdoctor will fail if an extension tampered with according TCA ctrl settings.

There are further scenarios dbdoctor can not deal with: For example, let's say some extension declares a table soft-delete-aware by having a TCA entry ['ctrl']['delete'] = 'deleted', and you have some rows that are deleted=1. Later, that TCA table is set to be no longer soft-delete-aware by removing the ['ctrl']['delete'] declaration. The core database analyzer will then suggest to first rename the deleted column to zzz_deleted_deleted, and will then allow to remove the column. Doing this will effectively push all previously deleted records "live", when you missed to remove all affected deleted=1 records beforehand. There are similar scenarios when TCA tables are changed to be no longer workspace-aware, but you still have workspace related records in the table, or when TCA tables are no longer "starttime" / "endtime" aware with having timed records it the table.

dbdoctor always works on the current TCA state. It never knows if some TCA table has been defined "soft-delete-aware" before, and if this has been changed later. When you push records live by removing the "deleted" column, by removing the "workspaces" extension, workspaces related columns, or timing related fields, this can end up with non-repairable state dbdoctor will not be able to fix. Instead, it will tend to find additional database relations that are broken, and will suggest changes that make the situation worse than before. Also, dbdoctor never looks at potentially existing zzz_deleted columns - those do not exist from dbdoctor point of view since they depend on some "before" TCA state that can not be reconstructed again. State created from scenarios like the above ones are not repairable and need manual reconstruction. Good luck.

All in all, TCA and ext_tables.sql of extensions should be in a good shape before working with dbdoctor, and changes suggested by health checks should always be checked manually before committing them to the database. Also, never forget to back up the database to prepare for an eventually needed disaster recovery. Do not accept dbdoctor suggestions blindly!

Current status

First releases have been done, but we're not confident enough to have a 1.0.0, yet. The nature of this extension is to perform potential malicious queries, so use the system with care. We are however using this extension for some of our customers with success already.



The extension currently supports TYPO3 v11 and TYPO3 v12. The extension can be installed as non-dev dependency (not adding --dev to composer require): It has no impact on a live instance (except dependency injection definitions) as long as it is not actively executed via CLI.

$ composer require lolli/dbdoctor

TYPO3 Extension Repository

For non-composer projects, the extension is available in TER as extension key dbdoctor and can be installed using the extension manager.


The nature of the CLI command is to perform destructive database operations on your instance. As such, a few things should be kept in mind:

  • [!!!] 💣 Create a fresh database backup dump before and after using the CLI interface. Ensure the recovery strategy actually works: Both the extension and the user can potentially get something wrong. We are dealing with low level database stuff here after all, so things can potentially go south rather quickly. See the "Further hints" section below, too.

  • [!!!] Make sure the TYPO3 "Database analyzer" is happy and needs no new or changed columns or tables. An early check verifies missing tables and columns, but it is still a good idea to double-check before running dbdoctor.

  • [!!!] There should not be any pending core upgrade wizards. dbdoctor currently does not check up-front if all upgrade wizards have been executed.


  • [!!!] Run the reference index updater when this command finished! It is very likely it will update something. A clean reference index becomes more and more important with younger core versions. The CLI command to do this: bin/typo3 referenceindex:update.


$ bin/typo3 dbdoctor:health

Note dbdoctor is "runtime static" with TCA: When dbdoctor is running, TCA is not expected to change meanwhile. When you are looking at single changes and decide to change TCA, then clear all caches and abort dbdoctor (press "a" in interactive mode) to start again. Failing to do so may lead to dbdoctor committing hazard to the database, depending on what you did with TCA.

The interface looks like this:

Note the above image is notoriously outdated, the interface of the current version may look slightly different. We're too lazy to update the image often, but it should give a solid idea on how the interface looks like.

The main command is a chain of single checks. They are done one by one. Affected record details can be shown on a per-page and a per-record basis to give a quick overview. The interface allows deleting or updating of affected records, depending on the type of the check.

The default interactive mode will never perform updates automatically and always asks the user for actions. When pressing 's' (simulate/show), the queries that would be performed are shown, when pressing 'e' (execute), the queries are actually executed.

Interactive mode

When dbdoctor finds something to fix in (default) interactive mode, execution stops and waits for user input:

  • e - EXECUTE suggested changes!
  • s - SIMULATE suggested changes, no execution
  • a - ABORT now
  • r - RELOAD this check
  • p - SHOW records by page
  • d - SHOW record details
  • ? - HELP

Exit values

Exit values are bit masks: Integer 3 means: "Changes needed or done" AND "User abort"

  • 0 - No changes needed or done
  • 1 - Changes needed or done
  • 2 - User abort
  • 4 - Error occurred


The CLI command can be executed with a couple of options. The default mode is "interactive", prompting for user input after each failed check.

  • Help overview:

    $ bin/typo3 dbdoctor:health -h

    Left to the reader to find out what is done here :-P

  • Interactive mode: --mode interactive or -m interactive or option not given:

    $ bin/typo3 dbdoctor:health -m interactive

    The default mode: Perform checks one-by-one and have an interactive interface to see affected record details, show pages with affected records, simulate performed queries, reload check and ultimately execute queries.

  • Check mode: --mode check or -m check:

    $ bin/typo3 dbdoctor:health -m check

    Run all checks but don't perform any DB changes. Returns 0 (zero) if all checks are fine and non-zero if something was found by any check. Useful to run as cron job to see if any check "goes red" over time after everything has been fixed once.

  • Execute mode: --mode execute or -m execute:

    $ bin/typo3 dbdoctor:health -m execute -f /tmp/dbdoctor-my-instance-`date +%Y-%m-%d-%H-%M-%S`.sql

    Blindly execute without further questions! This will execute all update and delete queries dbdoctor suggests! This is a potentially destructive auto-operation if you trust the command, which you shouldn't ;-) Did you create a DB backup before? Note the -f option is mandatory with this mode: You must log executed queries to a dump file that does not exist yet, to at least give you the theoretical option to debug issues after dbdoctor destroyed your database. The -f option should thus have some date or similar in it, to make it unique.

  • Log execute queries to file: --file or -f:

    $ bin/typo3 dbdoctor:health -f /tmp/foo.sql
    $ bin/typo3 dbdoctor:health -f /tmp/dbdoctor-my-instance-`date +%Y-%m-%d-%H-%M-%S`.sql

    Log all data changing queries to a file. The argument must be an absolute file name. Never put such a file into the public web folder of your instance. Option -f is available in "interactive" and mandatory in "execute" mode. Executed data changing queries are not only displayed, but also logged to a file. This can be useful if the command has been executed on a staging system using a current live database image: The queries can be reviewed again and then executed on a live instance using something like mysql my_database < file.sql or similar for other DBMS.

Current health checks

Single tests are described in details when running the CLI command. Rough overview:

  • Page tree integrity checks
  • FAL related sys_file_reference and friends checks
  • Language handling related checks
  • Workspace related checks
  • Inline parent-child relation related checks

Further hints

We highly encourage admins to back up databases when working with dbdoctor. Some basic rules regarding SQL dumps must not be forgotten when doing this:

  • When dumping an existing MySQL / MariaDB database before and after executing the CLI command, it can be helpful to toggle-off the "extended inserts" option: mysqldump by default merges multiple INSERT statements into one call for efficiency and speed. This is both quicker to dump and to import, and consumes less disk space.

    However, when looking for single DB changes, it is much more convenient to turn this off and have one line for each inserted row. Tools like diff are then far easier to grasp when searching for something that eventually went wrong. Example shell commands:

    $ mysqldump --skip-extended-insert myDatabase > /tmp/myDatabase-`date +%Y-%m-%d-%H-%M-%S`-dbdoctor-before.sql
    $ bin/typo3 dbdoctor:health
    $ mysqldump --skip-extended-insert myDatabase > /tmp/myDatabase-`date +%Y-%m-%d-%H-%M-%S`-dbdoctor-after.sql

    It's always possible to deviate from with when you know what you're doing, though. I practice, it might be a good idea to create two dumps: One with --skip-extended-insert and one without. A disaster recovery is much quicker when loading from a file that has no "one row per line", but to debug, it's much easier to diff dumps that were based on skipped extended inserts.

  • When dumping databases, it is a crucial security measure to never put such dumps into a public directory accessible by a web server or some third party server user. Violating this basic rule is a common source of data leaks in the wild! There is no excuse to get this wrong. It is also a good idea to put SQL files at a place that is rotated into backups to allow debugging later in case issues only pop up after a while. To follow GDPR rules, those files should still be removed at some point!

  • When dumping databases, it is often a good idea to gzip .sql files: This typically reduces file size by around factor eight. Lets save some precious server disk and backup size! It's also possible to directly 'pipe' to gzip when dumping. Either do that, or remember to gzip stuff before logging out of a system.


  • Will the functionality be made available in a backend GUI?

    No. CLI is the only sane way for these kind of things.

  • Will support for TYPO3 v10 or other older core versions added?

    No. TYPO3 v11 had quite a few DB changes, and it is not planned to implement a v10 backwards compatible layer.

Tagging and releasing is enabled via the casual github hook. TER releases are created by the "publish.yml" github workflow when tagging versions using tailor. The commit message of the tagged commit is used as TER upload comment.


Build/Scripts/ -s clean
Build/Scripts/ -s composerUpdate
composer req --dev typo3/tailor
.Build/bin/tailor set-version 0.3.2
composer rem --dev typo3/tailor
git commit -am "[RELEASE] 0.3.2 Added some basic inline foreign field related checks"
git tag 0.3.2
git push
git push --tags