Oracle 5.0 Reference Manual page 470

Deprecated
The engine condition pushdown optimization enables processing for certain comparisons to be
"pushed down" to the storage engine level for more efficient execution. For more information, see
Section 8.3.1.5, "Engine Condition Pushdown
Engine condition pushdown is used only by the
optimization on a MySQL Server acting as a MySQL Cluster SQL node causes
on unindexed columns to be evaluated on the cluster's data nodes and only the rows that match to
be sent back to the SQL node that issued the query. This greatly reduces the amount of cluster data
that must be sent over the network, increasing the efficiency with which results are returned.
The
engine_condition_pushdown
is enabled. By default, this variable is
This variable was added in MySQL 5.0.3.
• [450]
error_count
The number of errors that resulted from the last statement that generated messages. This variable is
read only. See Section 13.7.5.14,
•
expire_logs_days
Command-Line Format
Option-File Format
Option Sets Variable
Variable Name
Variable Scope
Dynamic Variable
The number of days for automatic binary log file removal. The default is 0, which means "no
automatic removal." Possible removals happen at startup and when the binary log is flushed. Log
flushing occurs as indicated in
To remove binary log files manually, use the
Section 13.4.1.1, "PURGE BINARY LOGS
• [450]
flush
Command-Line Format
Option-File Format
Variable Name
Variable Scope
Dynamic Variable
Server System Variables
5.5.3, by
optimizer_switch
Permitted Values (>= 5.0.3)
Type
boolean
Default
OFF
[449] variable controls whether engine condition pushdown
(0). Setting it to
OFF
"SHOW ERRORS
[450]
--expire_logs_days=#
expire_logs_days
Yes,
expire_logs_days
expire_logs_days
Global
Yes
Permitted Values
Type
numeric
Default
0
Range
0 .. 99
Section 5.2, "MySQL Server
PURGE BINARY LOGS
Syntax".
--flush
flush
flush
Global
Yes
Permitted Values
450
Optimization".
storage engine. Enabling this
NDBCLUSTER
(1) enables pushdown.
ON
Syntax".
[450]
Logs".
conditions
WHERE
statement. See