<para>
When an <command>UPDATE</command> causes a row to move from one
partition to another, there is a chance that another concurrent
- <command>UPDATE</command> or <command>DELETE</command> misses this row.
- Suppose session 1 is performing an <command>UPDATE</command> on a
- partition key, and meanwhile a concurrent session 2 for which this row
- is visible performs an <command>UPDATE</command> or
- <command>DELETE</command> operation on this row. Session 2 can silently
- miss the row if the row is deleted from the partition due to session
- 1's activity. In such case, session 2's
- <command>UPDATE</command> or <command>DELETE</command>, being unaware of
- the row movement thinks that the row has just been deleted and concludes
- that there is nothing to be done for this row. In the usual case where
- the table is not partitioned, or where there is no row movement,
- session 2 would have identified the newly updated row and carried out
- the <command>UPDATE</command>/<command>DELETE</command> on this new row
+ <command>UPDATE</command> or <command>DELETE</command> will get a
+ serialization failure error. Suppose session 1 is performing an
+ <command>UPDATE</command> on a partition key, and meanwhile a concurrent
+ session 2 for which this row is visible performs an
+ <command>UPDATE</command> or <command>DELETE</command> operation on this
+ row. In such case, session 2's <command>UPDATE</command> or
+ <command>DELETE</command>, will detect the row movement and raise a
+ serialization failure error (which always returns with an SQLSTATE code
+ '40001'). Applications may wish to retry the transaction if this
+ occurs. In the usual case where the table is not partitioned, or where
+ there is no row movement, session 2 would have identified the newly
+ updated row and carried out the
+ <command>UPDATE</command>/<command>DELETE</command> on this new row
version.
</para>
</listitem>