MySQL 5.7 Reference Manual Including MySQL NDB Cluster 7.5 and NDB Cluster 7.6
These restrictions apply to the features described in Chapter 23, Stored Objects.
Some of the restrictions noted here apply to all stored routines; that is, both to stored procedures and stored functions. There are also some restrictions specific to stored functions but not to stored procedures.
The restrictions for stored functions also apply to triggers. There are also some restrictions specific to triggers.
The restrictions for stored procedures also apply to the
DO
clause of Event Scheduler event
definitions. There are also some
restrictions
specific to events.
Stored routines cannot contain arbitrary SQL statements. The following statements are not permitted:
The locking statements LOCK
TABLES
and
UNLOCK
TABLES
.
SQL prepared statements
(PREPARE
,
EXECUTE
,
DEALLOCATE PREPARE
) can be
used in stored procedures, but not stored functions or
triggers. Thus, stored functions and triggers cannot use
dynamic SQL (where you construct statements as strings and
then execute them).
Generally, statements not permitted in SQL prepared
statements are also not permitted in stored programs. For a
list of statements supported as prepared statements, see
Section 13.5, “Prepared Statements”. Exceptions are
SIGNAL
,
RESIGNAL
, and
GET DIAGNOSTICS
, which are
not permissible as prepared statements but are permitted in
stored programs.
Because local variables are in scope only during stored
program execution, references to them are not permitted in
prepared statements created within a stored program.
Prepared statement scope is the current session, not the
stored program, so the statement could be executed after the
program ends, at which point the variables would no longer
be in scope. For example, SELECT ... INTO
cannot be
used as a prepared statement. This restriction also applies
to stored procedure and function parameters. See
Section 13.5.1, “PREPARE Statement”.
local_var
Within all stored programs (stored procedures and functions,
triggers, and events), the parser treats
BEGIN
[WORK]
as the beginning of a
BEGIN ...
END
block. To begin a transaction in this context,
use START
TRANSACTION
instead.
The following additional statements or operations are not
permitted within stored functions. They are permitted within
stored procedures, except stored procedures that are invoked
from within a stored function or trigger. For example, if you
use FLUSH
in a stored procedure,
that stored procedure cannot be called from a stored function or
trigger.
Statements that perform explicit or implicit commit or rollback. Support for these statements is not required by the SQL standard, which states that each DBMS vendor may decide whether to permit them.
Statements that return a result set. This includes
SELECT
statements that do not
have an INTO
clause and
other statements such as
var_list
SHOW
,
EXPLAIN
, and
CHECK TABLE
. A function can
process a result set either with
SELECT ... INTO
or by using a
cursor and var_list
FETCH
statements.
See Section 13.2.9.1, “SELECT ... INTO Statement”, and
Section 13.6.6, “Cursors”.
FLUSH
statements.
Stored functions cannot be used recursively.
A stored function or trigger cannot modify a table that is already being used (for reading or writing) by the statement that invoked the function or trigger.
If you refer to a temporary table multiple times in a stored
function under different aliases, a Can't reopen
table:
'
error occurs, even if the references occur in different
statements within the function.
tbl_name
'
HANDLER ...
READ
statements that invoke stored functions can
cause replication errors and are disallowed.
For triggers, the following additional restrictions apply:
Triggers are not activated by foreign key actions.
When using row-based replication, triggers on the replica are not activated by statements originating on the source. The triggers on the replica are activated when using statement-based replication. For more information, see Section 16.4.1.34, “Replication and Triggers”.
The RETURN
statement is not
permitted in triggers, which cannot return a value. To exit
a trigger immediately, use the
LEAVE
statement.
Triggers are not permitted on tables in the
mysql
database. Nor are they permitted on
INFORMATION_SCHEMA
or
performance_schema
tables. Those tables
are actually views and triggers are not permitted on views.
The trigger cache does not detect when metadata of the underlying objects has changed. If a trigger uses a table and the table has changed since the trigger was loaded into the cache, the trigger operates using the outdated metadata.
The same identifier might be used for a routine parameter, a local variable, and a table column. Also, the same local variable name can be used in nested blocks. For example:
CREATE PROCEDURE p (i INT) BEGIN DECLARE i INT DEFAULT 0; SELECT i FROM t; BEGIN DECLARE i INT DEFAULT 1; SELECT i FROM t; END; END;
In such cases, the identifier is ambiguous and the following precedence rules apply:
A local variable takes precedence over a routine parameter or table column.
A routine parameter takes precedence over a table column.
A local variable in an inner block takes precedence over a local variable in an outer block.
The behavior that variables take precedence over table columns is nonstandard.
Use of stored routines can cause replication problems. This issue is discussed further in Section 23.7, “Stored Program Binary Logging”.
The
--replicate-wild-do-table=
option applies to tables, views, and triggers. It does not apply
to stored procedures and functions, or events. To filter
statements operating on the latter objects, use one or more of
the db_name.tbl_name
--replicate-*-db
options.
The MySQL stored routine syntax is based on the SQL:2003 standard. The following items from that standard are not currently supported:
UNDO
handlers
FOR
loops
To prevent problems of interaction between sessions, when a client issues a statement, the server uses a snapshot of routines and triggers available for execution of the statement. That is, the server calculates a list of procedures, functions, and triggers that may be used during execution of the statement, loads them, and then proceeds to execute the statement. While the statement executes, it does not see changes to routines performed by other sessions.
For maximum concurrency, stored functions should minimize their side-effects; in particular, updating a table within a stored function can reduce concurrent operations on that table. A stored function acquires table locks before executing, to avoid inconsistency in the binary log due to mismatch of the order in which statements execute and when they appear in the log. When statement-based binary logging is used, statements that invoke a function are recorded rather than the statements executed within the function. Consequently, stored functions that update the same underlying tables do not execute in parallel. In contrast, stored procedures do not acquire table-level locks. All statements executed within stored procedures are written to the binary log, even for statement-based binary logging. See Section 23.7, “Stored Program Binary Logging”.
The following limitations are specific to the Event Scheduler:
Event names are handled in case-insensitive fashion. For
example, you cannot have two events in the same database
with the names anEvent
and
AnEvent
.
An event may not be created, altered, or dropped from within a stored program, if the event name is specified by means of a variable. An event also may not create, alter, or drop stored routines or triggers.
DDL statements on events are prohibited while a
LOCK TABLES
statement is in
effect.
Event timings using the intervals YEAR
,
QUARTER
, MONTH
, and
YEAR_MONTH
are resolved in months; those
using any other interval are resolved in seconds. There is
no way to cause events scheduled to occur at the same second
to execute in a given order. In addition—due to
rounding, the nature of threaded applications, and the fact
that a nonzero length of time is required to create events
and to signal their execution—events may be delayed by
as much as 1 or 2 seconds. However, the time shown in the
Information Schema EVENTS
table's LAST_EXECUTED
column or the
mysql.event
table's
last_executed
column is always accurate
to within one second of the actual event execution time.
(See also Bug #16522.)
Each execution of the statements contained in the body of an
event takes place in a new connection; thus, these
statements have no effect in a given user session on the
server's statement counts such as
Com_select
and
Com_insert
that are displayed by
SHOW STATUS
. However, such
counts are updated in the global scope.
(Bug #16422)
Events do not support times later than the end of the Unix Epoch; this is approximately the beginning of the year 2038. Such dates are specifically not permitted by the Event Scheduler. (Bug #16396)
References to stored functions, loadable functions, and
tables in the ON SCHEDULE
clauses of
CREATE EVENT
and
ALTER EVENT
statements are
not supported. These sorts of references are not permitted.
(See Bug #22830 for more information.)
While stored procedures, stored functions, triggers, and
scheduled events are all supported by tables using the
NDB
storage engine, you must keep
in mind that these do not propagate
automatically between MySQL Servers acting as Cluster SQL nodes.
This is because of the following:
Stored routine definitions are kept in tables in the
mysql
system database using the
MyISAM
storage engine, and so do not
participate in clustering.
The .TRN
and .TRG
files containing trigger definitions are not read by the
NDB
storage engine, and are not
copied between Cluster nodes.
Any stored routine or trigger that interacts with NDB Cluster
tables must be re-created by running the appropriate
CREATE PROCEDURE
,
CREATE FUNCTION
, or
CREATE TRIGGER
statements on each
MySQL Server that participates in the cluster where you wish to
use the stored routine or trigger. Similarly, any changes to
existing stored routines or triggers must be carried out
explicitly on all Cluster SQL nodes, using the appropriate
ALTER
or DROP
statements
on each MySQL Server accessing the cluster.
Do not attempt to work around the issue
described in the first item mentioned previously by converting
any mysql
database tables to use the
NDB
storage engine.
Altering the system tables in the
mysql
database is not supported
and is very likely to produce undesirable results.