<p>The error appears when a multi-table UPDATE tries to change a table that is already being updated in the same statement, making primary-key or partition-key modifications impossible.</p>
<p>MySQL Error 1706 ER_MULTI_UPDATE_KEY_CONFLICT happens when the same table is targeted twice in a multi-table UPDATE, preventing primary or partition key changes. Rewrite the query so each affected table is updated only once or use a temporary table to stage modifications.</p>
Primary key/partition key update is not allowed since the
MySQL raises error 1706 with the message "Primary key/partition key update is not allowed since the table is updated both as 'A' and 'B'" when a multi-table UPDATE statement tries to modify the same table in two logical roles. The server blocks the statement to protect primary-key or partition-key consistency.
The issue most often appears in UPDATE statements that join a table to itself or to a derived table referencing the same underlying data. Because MySQL cannot guarantee a stable execution order, it forbids simultaneous key updates.
The root cause is a query that lists the same base table twice in the UPDATE, either through an alias or a subquery, while also changing a primary or partition key column. MySQL detects the potential conflict and aborts the operation.
Autogenerated queries, complex self-joins, and application code that tries to cascade status flags across rows frequently trigger the problem. Partitioned tables magnify the risk because partition keys double as routing metadata.
Rewrite the statement so each base table appears only once in the UPDATE clause. If the business logic truly needs two passes, split the work into separate statements or use a temporary table to collect keys, then perform a second UPDATE.
For large data sets, consider inserting the keys needing change into a staging table, index it, and run a single JOIN-based UPDATE that touches the target table just once. This avoids key conflicts and improves performance.
Self-referential status flips often fail. Instead, copy qualifying primary keys into a temp table and update in place. Bulk partition migration scripts should detach selection logic from the actual UPDATE. ORM frameworks may need custom SQL to prevent duplicate table references.
In ETL jobs, pivot the data into Galaxy’s collection feature, validate the intended key changes, and let the editor autogenerate a conflict-free UPDATE that appears only once in the statement.
Validate multi-table UPDATEs in a staging environment. Enforce code reviews that flag duplicate table references. In Galaxy, share endorsed conflict-free templates so teammates reuse safe patterns. Monitor the error log for 1706 events and alert on spikes.
Error 1062 (duplicate key) indicates key collisions after an INSERT or UPDATE, not during query planning. Error 1292 (truncated incorrect value) arises when data types clash during updates. Each requires distinct fixes but may appear in similar migration scripts.
The same physical table is referenced with two aliases in the UPDATE clause, leading MySQL to block key changes.
A self-join attempts to update a row based on another row from the same table while changing the primary key.
The query tries to move rows between partitions by updating a partition key while the table appears twice in the statement.
An Object-Relational Mapper emits multi-table updates that unknowingly reference the table twice, triggering the error.
Raised when an INSERT or UPDATE causes a duplicate primary or unique key value.
Occurs when a referenced column is missing or misspelled in the query.
Indicates data type conversion issues during INSERT or UPDATE operations.
Signals a transaction deadlock requiring a rollback and retry.
No. MySQL enforces it to protect data integrity. You must rewrite the query.
No. It is specific to multi-table UPDATE statements that attempt key changes.
Usually not. The error is raised only when primary or partition keys are being updated.
Galaxy’s AI copilot detects duplicate table references and recommends conflict-free rewrites before you run the query.
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