X-Git-Url: https://git.saurik.com/redis.git/blobdiff_plain/d5b36c5114659e979fc2e102954ded1e30aacacf..29177b4d08eff23300b1e4c9a4ae358f05554dbb:/redis.conf

diff --git a/redis.conf b/redis.conf
index 6d18e2f5..9e9eac5f 100644
--- a/redis.conf
+++ b/redis.conf
@@ -312,6 +312,37 @@ no-appendfsync-on-rewrite no
 auto-aof-rewrite-percentage 100
 auto-aof-rewrite-min-size 64mb
 
+################################ LUA SCRIPTING  ###############################
+
+# Max execution time of a Lua script in milliseconds.
+# This prevents that a programming error generating an infinite loop will block
+# your server forever. Set it to 0 or a negative value for unlimited execution.
+lua-time-limit 60000
+
+################################## SLOW LOG ###################################
+
+# The Redis Slow Log is a system to log queries that exceeded a specified
+# execution time. The execution time does not include the I/O operations
+# like talking with the client, sending the reply and so forth,
+# but just the time needed to actually execute the command (this is the only
+# stage of command execution where the thread is blocked and can not serve
+# other requests in the meantime).
+# 
+# You can configure the slow log with two parameters: one tells Redis
+# what is the execution time, in microseconds, to exceed in order for the
+# command to get logged, and the other parameter is the length of the
+# slow log. When a new command is logged the oldest one is removed from the
+# queue of logged commands.
+
+# The following time is expressed in microseconds, so 1000000 is equivalent
+# to one second. Note that a negative number disables the slow log, while
+# a value of zero forces the logging of every command.
+slowlog-log-slower-than 10000
+
+# There is no limit to this length. Just be aware that it will consume memory.
+# You can reclaim memory used by the slow log with SLOWLOG RESET.
+slowlog-max-len 1024
+
 ############################### ADVANCED CONFIG ###############################
 
 # Hashes are encoded in a special way (much more memory efficient) when they