Sentinel: use CLIENT SETNAME when connecting to Redis.

This makes debugging / monitoring of Sentinels simpler since you can
identify sentinels in CLIENT LIST output of Redis instances.
Sentinel failure detection implementation improved.

Failure detection in Sentinel is ping-pong based. It used to work by
remembering the last time a valid PONG reply was received, and checking
if the reception time was too old compared to the current current time.

PINGs were sent at a fixed interval of 1 second.

This works in a decent way, but does not scale well when we want to set
very small values of "down-after-milliseconds" (this is the node
timeout basically).

This commit reiplements the failure detection making a number of
changes. Some changes are inspired to Redis Cluster failure detection
code:

* A new last_ping_time field is added in representation of instances.
  If non zero, we have an active ping that was sent at the specified
  time. When a valid reply to ping is received, the field is zeroed
  again.
* last_ping_time is not reset when we reconnect the link or send a new
  ping, so from our point of view it represents the time we started
  waiting for the instance to reply to our pings without receiving a
  reply.
* last_ping_time is now used in order to check if the instance is
  timed out. This means that we can have a node timeout of 100
  milliseconds and yet the system will work well since the new check is
  not bound to the period used to send pings.
* Pings are now sent every second, or often if the value of
  down-after-milliseconds is less than one second. With a lower limit of
  10 HZ ping frequency.
* Link reconnection code was improved. This is used in order to try to
  reconnect the link when we are at 50% of the node timeout without a
  valid reply received yet. However the old code triggered unnecessary
  reconnections when the node timeout was very small. Now that should be
  ok.

The new code passes the tests but more testing is needed and more unit
tests stressing the failure detector, so currently this is merged only
in the unstable branch.
Sentinel: down-after-milliseconds is not master-specific.

addReplySentinelRedisInstance() modified so that this field is displayed
for all the kind of instances: Sentinels, Masters, Slaves.
Sentinel: propagate down-after-ms changes to slaves and sentinels.
Sentinel: instance_is_killed proc added to sentinel.tcl.
Sentinel test: foreach_instance_id implements 'break'.
Sentinel test: 02 unit better coverage + refactoring.
Sentinel: sentinelRefreshInstanceInfo() minor refactoring.

Test sentinel.tilt condition on top and return if it is true.
This allows to remove the check for the tilt condition in the remaining
code paths of the function.
Unify stats reset for CONFIG RESETSTAT / initServer().

Now CONFIG RESETSTAT makes sure to reset all the fields, and in the
future it will be simpler to avoid missing new fields.
Set LRU parameters via REDIS_LRU_BITS define.
Specify LRU resolution in milliseconds.
Specify lruclock in redisServer structure via REDIS_LRU_BITS.

The padding field was totally useless: removed.
Obtain LRU clock in a resolution dependent way.

For testing purposes it is handy to have a very high resolution of the
LRU clock, so that it is possible to experiment with scripts running in
just a few seconds how the eviction algorithms works.

This commit allows Redis to use the cached LRU clock, or a value
computed on demand, depending on the resolution. So normally we have the
good performance of a precomputed value, and a clock that wraps in many
days using the normal resolution, but if needed, changing a define will
switch behavior to an high resolution LRU clock.
Fix OBJECT IDLETIME return value converting to seconds.

estimateObjectIdleTime() returns a value in milliseconds now, so we need
to scale the output of OBJECT IDLETIME to seconds.
LRU eviction pool implementation.

This is an improvement over the previous eviction algorithm where we use
an eviction pool that is persistent across evictions of keys, and gets
populated with the best candidates for evictions found so far.

It allows to approximate LRU eviction at a given number of samples
better than the previous algorithm used.
Added dictGetRandomKeys() to dict.c: mass get random entries.

This new function is useful to get a number of random entries from an
hash table when we just need to do some sampling without particularly
good distribution.

It just jumps at a random place of the hash table and returns the first
N items encountered by scanning linearly.

The main usefulness of this function is to speedup Redis internal
sampling of the key space, for example for key eviction or expiry.
struct dictEntry -> dictEntry.
Use new dictGetRandomKeys() API to get samples for eviction.

The eviction quality degradates a bit in my tests, but since the API is
faster, it allows to raise the number of samples, and overall is a win.
Default LRU samples is now 5.
Use 24 bits for the lru object field and improve resolution.

There were 2 spare bits inside the Redis object structure that are now
used in order to enlarge 4x the range of the LRU field.

At the same time the resolution was improved from 10 to 1 second: this
still provides 194 days before the LRU counter overflows (restarting from
zero).

This is not a problem since it only causes lack of eviction precision for
objects not touched for a very long time, and the lack of precision is
only temporary.