redis/src/dscache.c

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#include "redis.h"
#include <fcntl.h>
#include <pthread.h>
#include <math.h>
#include <signal.h>
/* dscache.c - Disk store cache for disk store backend.
*
* When Redis is configured for using disk as backend instead of memory, the
* memory is used as a cache, so that recently accessed keys are taken in
* memory for fast read and write operations.
*
* Modified keys are marked to be flushed on disk, and will be flushed
* as long as the maxium configured flush time elapsed.
*
* This file implements the whole caching subsystem and contains further
* documentation. */
/* TODO:
*
* - The WATCH helper will be used to signal the cache system
* we need to flush a given key/dbid into disk, adding this key/dbid
* pair into a server.ds_cache_dirty linked list AND hash table (so that we
* don't add the same thing multiple times).
*
* - cron() checks if there are elements on this list. When there are things
* to flush, we create an IO Job for the I/O thread.
* NOTE: We disalbe object sharing when server.ds_enabled == 1 so objects
* that are referenced an IO job for flushing on disk are marked as
* o->storage == REDIS_DS_SAVING.
*
* - This is what we do on key lookup:
* 1) The key already exists in memory. object->storage == REDIS_DS_MEMORY
* or it is object->storage == REDIS_DS_DIRTY:
* We don't do nothing special, lookup, return value object pointer.
* 2) The key is in memory but object->storage == REDIS_DS_SAVING.
* When this happens we block waiting for the I/O thread to process
* this object. Then continue.
* 3) The key is not in memory. We block to load the key from disk.
* Of course the key may not be present at all on the disk store as well,
* in such case we just detect this condition and continue, returning
* NULL from lookup.
*
* - Preloading of needed keys:
* 1) As it was done with VM, also with this new system we try preloading
* keys a client is going to use. We block the client, load keys
* using the I/O thread, unblock the client. Same code as VM more or less.
*
* - Reclaiming memory.
* In cron() we detect our memory limit was reached. What we
* do is deleting keys that are REDIS_DS_MEMORY, using LRU.
*
* If this is not enough to return again under the memory limits we also
* start to flush keys that need to be synched on disk synchronously,
* removing it from the memory. We do this blocking as memory limit is a
* much "harder" barrirer in the new design.
*
* - IO thread operations are no longer stopped for sync loading/saving of
* things. When a key is found to be in the process of being saved
* we simply wait for the IO thread to end its work.
*
* Otherwise if there is to load a key without any IO thread operation
* just started it is blocking-loaded in the lookup function.
*
* - What happens when an object is destroyed?
*
* If o->storage == REDIS_DS_MEMORY then we simply destory the object.
* If o->storage == REDIS_DS_DIRTY we can still remove the object. It had
* changes not flushed on disk, but is being removed so
* who cares.
* if o->storage == REDIS_DS_SAVING then the object is being saved so
* it is impossible that its refcount == 1, must be at
* least two. When the object is saved the storage will
* be set back to DS_MEMORY.
*
* - What happens when keys are deleted?
*
* We simply schedule a key flush operation as usually, but when the
* IO thread will be created the object pointer will be set to NULL
* so the IO thread will know that the work to do is to delete the key
* from the disk store.
*
* - What happens with MULTI/EXEC?
*
* Good question.
*
* - If dsSet() fails on the write thread log the error and reschedule the
* key for flush.
*
* - Check why INCR will not update the LRU info for the object.
*
* - Fix/Check the following race condition: a key gets a DEL so there is
* a write operation scheduled against this key. Later the same key will
* be the argument of a GET, but the write operation was still not
* completed (to delete the file). If the GET will be for some reason
* a blocking loading (via lookup) we can load the old value on memory.
*
* This problems can be fixed with negative caching. We can use it
* to optimize the system, but also when a key is deleted we mark
* it as non existing on disk as well (in a way that this cache
* entry can't be evicted, setting time to 0), then we avoid looking at
* the disk at all if the key can't be there. When an IO Job complete
* a deletion, we set the time of the negative caching to a non zero
* value so it will be evicted later.
*
* Are there other patterns like this where we load stale data?
*/
/* Virtual Memory is composed mainly of two subsystems:
* - Blocking Virutal Memory
* - Threaded Virtual Memory I/O
* The two parts are not fully decoupled, but functions are split among two
* different sections of the source code (delimited by comments) in order to
* make more clear what functionality is about the blocking VM and what about
* the threaded (not blocking) VM.
*
* Redis VM design:
*
* Redis VM is a blocking VM (one that blocks reading swapped values from
* disk into memory when a value swapped out is needed in memory) that is made
* unblocking by trying to examine the command argument vector in order to
* load in background values that will likely be needed in order to exec
* the command. The command is executed only once all the relevant keys
* are loaded into memory.
*
* This basically is almost as simple of a blocking VM, but almost as parallel
* as a fully non-blocking VM.
*/
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void spawnIOThread(void);
/* =================== Virtual Memory - Blocking Side ====================== */
void dsInit(void) {
int pipefds[2];
size_t stacksize;
zmalloc_enable_thread_safeness(); /* we need thread safe zmalloc() */
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redisLog(REDIS_NOTICE,"Opening Disk Store: %s", server.ds_path);
/* Open Disk Store */
if (dsOpen() != REDIS_OK) {
redisLog(REDIS_WARNING,"Fatal error opening disk store. Exiting.");
exit(1);
};
/* Initialize threaded I/O for Object Cache */
server.io_newjobs = listCreate();
server.io_processing = listCreate();
server.io_processed = listCreate();
server.io_ready_clients = listCreate();
pthread_mutex_init(&server.io_mutex,NULL);
pthread_cond_init(&server.io_condvar,NULL);
server.io_active_threads = 0;
if (pipe(pipefds) == -1) {
redisLog(REDIS_WARNING,"Unable to intialized DS: pipe(2): %s. Exiting."
,strerror(errno));
exit(1);
}
server.io_ready_pipe_read = pipefds[0];
server.io_ready_pipe_write = pipefds[1];
redisAssert(anetNonBlock(NULL,server.io_ready_pipe_read) != ANET_ERR);
/* LZF requires a lot of stack */
pthread_attr_init(&server.io_threads_attr);
pthread_attr_getstacksize(&server.io_threads_attr, &stacksize);
/* Solaris may report a stacksize of 0, let's set it to 1 otherwise
* multiplying it by 2 in the while loop later will not really help ;) */
if (!stacksize) stacksize = 1;
while (stacksize < REDIS_THREAD_STACK_SIZE) stacksize *= 2;
pthread_attr_setstacksize(&server.io_threads_attr, stacksize);
/* Listen for events in the threaded I/O pipe */
if (aeCreateFileEvent(server.el, server.io_ready_pipe_read, AE_READABLE,
vmThreadedIOCompletedJob, NULL) == AE_ERR)
oom("creating file event");
/* Spawn our I/O thread */
spawnIOThread();
}
/* Compute how good candidate the specified object is for eviction.
* An higher number means a better candidate. */
double computeObjectSwappability(robj *o) {
/* actual age can be >= minage, but not < minage. As we use wrapping
* 21 bit clocks with minutes resolution for the LRU. */
return (double) estimateObjectIdleTime(o);
}
/* Try to free one entry from the diskstore object cache */
int cacheFreeOneEntry(void) {
int j, i;
struct dictEntry *best = NULL;
double best_swappability = 0;
redisDb *best_db = NULL;
robj *val;
sds key;
for (j = 0; j < server.dbnum; j++) {
redisDb *db = server.db+j;
/* Why maxtries is set to 100?
* Because this way (usually) we'll find 1 object even if just 1% - 2%
* are swappable objects */
int maxtries = 100;
if (dictSize(db->dict) == 0) continue;
for (i = 0; i < 5; i++) {
dictEntry *de;
double swappability;
if (maxtries) maxtries--;
de = dictGetRandomKey(db->dict);
val = dictGetEntryVal(de);
/* Only swap objects that are currently in memory.
*
* Also don't swap shared objects: not a good idea in general and
* we need to ensure that the main thread does not touch the
* object while the I/O thread is using it, but we can't
* control other keys without adding additional mutex. */
if (val->storage != REDIS_DS_MEMORY) {
if (maxtries) i--; /* don't count this try */
continue;
}
swappability = computeObjectSwappability(val);
if (!best || swappability > best_swappability) {
best = de;
best_swappability = swappability;
best_db = db;
}
}
}
if (best == NULL) {
/* FIXME: If there are objects marked as DS_DIRTY or DS_SAVING
* let's wait for this objects to be clear and retry...
*
* Object cache vm limit is considered an hard limit. */
return REDIS_ERR;
}
key = dictGetEntryKey(best);
val = dictGetEntryVal(best);
redisLog(REDIS_DEBUG,"Key selected for cache eviction: %s swappability:%f",
key, best_swappability);
/* Delete this key from memory */
{
robj *kobj = createStringObject(key,sdslen(key));
dbDelete(best_db,kobj);
decrRefCount(kobj);
}
return REDIS_OK;
}
/* Return true if it's safe to swap out objects in a given moment.
* Basically we don't want to swap objects out while there is a BGSAVE
* or a BGAEOREWRITE running in backgroud. */
int dsCanTouchDiskStore(void) {
return (server.bgsavechildpid == -1 && server.bgrewritechildpid == -1);
}
/* =================== Virtual Memory - Threaded I/O ======================= */
void freeIOJob(iojob *j) {
decrRefCount(j->key);
/* j->val can be NULL if the job is about deleting the key from disk. */
if (j->val) decrRefCount(j->val);
zfree(j);
}
/* Every time a thread finished a Job, it writes a byte into the write side
* of an unix pipe in order to "awake" the main thread, and this function
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* is called. */
void vmThreadedIOCompletedJob(aeEventLoop *el, int fd, void *privdata,
int mask)
{
char buf[1];
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int retval, processed = 0, toprocess = -1;
REDIS_NOTUSED(el);
REDIS_NOTUSED(mask);
REDIS_NOTUSED(privdata);
/* For every byte we read in the read side of the pipe, there is one
* I/O job completed to process. */
while((retval = read(fd,buf,1)) == 1) {
iojob *j;
listNode *ln;
redisLog(REDIS_DEBUG,"Processing I/O completed job");
/* Get the processed element (the oldest one) */
lockThreadedIO();
redisAssert(listLength(server.io_processed) != 0);
if (toprocess == -1) {
toprocess = (listLength(server.io_processed)*REDIS_MAX_COMPLETED_JOBS_PROCESSED)/100;
if (toprocess <= 0) toprocess = 1;
}
ln = listFirst(server.io_processed);
j = ln->value;
listDelNode(server.io_processed,ln);
unlockThreadedIO();
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/* Post process it in the main thread, as there are things we
* can do just here to avoid race conditions and/or invasive locks */
redisLog(REDIS_DEBUG,"COMPLETED Job type %s, key: %s",
(j->type == REDIS_IOJOB_LOAD) ? "load" : "save",
(unsigned char*)j->key->ptr);
if (j->type == REDIS_IOJOB_LOAD) {
/* Create the key-value pair in the in-memory database */
if (j->val != NULL) {
/* Note: the key may already be here if between the time
* this key loading was scheduled and now there was the
* need to blocking load the key for a key lookup. */
if (dbAdd(j->db,j->key,j->val) == REDIS_OK) {
incrRefCount(j->val);
if (j->expire != -1) setExpire(j->db,j->key,j->expire);
}
} else {
/* The key does not exist. Create a negative cache entry
* for this key. */
/* FIXME: add this entry into the negative cache */
}
/* Handle clients waiting for this key to be loaded. */
handleClientsBlockedOnSwappedKey(j->db,j->key);
freeIOJob(j);
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} else if (j->type == REDIS_IOJOB_SAVE) {
if (j->val) {
redisAssert(j->val->storage == REDIS_DS_SAVING);
j->val->storage = REDIS_DS_MEMORY;
}
freeIOJob(j);
}
processed++;
if (processed == toprocess) return;
}
if (retval < 0 && errno != EAGAIN) {
redisLog(REDIS_WARNING,
"WARNING: read(2) error in vmThreadedIOCompletedJob() %s",
strerror(errno));
}
}
void lockThreadedIO(void) {
pthread_mutex_lock(&server.io_mutex);
}
void unlockThreadedIO(void) {
pthread_mutex_unlock(&server.io_mutex);
}
void *IOThreadEntryPoint(void *arg) {
iojob *j;
listNode *ln;
REDIS_NOTUSED(arg);
pthread_detach(pthread_self());
lockThreadedIO();
while(1) {
/* Wait for more work to do */
pthread_cond_wait(&server.io_condvar,&server.io_mutex);
/* Get a new job to process */
if (listLength(server.io_newjobs) == 0) {
/* No new jobs in queue, reiterate. */
unlockThreadedIO();
continue;
}
ln = listFirst(server.io_newjobs);
j = ln->value;
listDelNode(server.io_newjobs,ln);
/* Add the job in the processing queue */
listAddNodeTail(server.io_processing,j);
ln = listLast(server.io_processing); /* We use ln later to remove it */
unlockThreadedIO();
redisLog(REDIS_DEBUG,"Thread %ld: new job type %s: %p about key '%s'",
(long) pthread_self(),
(j->type == REDIS_IOJOB_LOAD) ? "load" : "save",
(void*)j, (char*)j->key->ptr);
/* Process the Job */
if (j->type == REDIS_IOJOB_LOAD) {
time_t expire;
j->val = dsGet(j->db,j->key,&expire);
if (j->val) j->expire = expire;
} else if (j->type == REDIS_IOJOB_SAVE) {
if (j->val) {
redisAssert(j->val->storage == REDIS_DS_SAVING);
dsSet(j->db,j->key,j->val);
} else {
dsDel(j->db,j->key);
}
}
/* Done: insert the job into the processed queue */
redisLog(REDIS_DEBUG,"Thread %ld completed the job: %p (key %s)",
(long) pthread_self(), (void*)j, (char*)j->key->ptr);
lockThreadedIO();
listDelNode(server.io_processing,ln);
listAddNodeTail(server.io_processed,j);
/* Signal the main thread there is new stuff to process */
redisAssert(write(server.io_ready_pipe_write,"x",1) == 1);
}
/* never reached, but that's the full pattern... */
unlockThreadedIO();
return NULL;
}
void spawnIOThread(void) {
pthread_t thread;
sigset_t mask, omask;
int err;
sigemptyset(&mask);
sigaddset(&mask,SIGCHLD);
sigaddset(&mask,SIGHUP);
sigaddset(&mask,SIGPIPE);
pthread_sigmask(SIG_SETMASK, &mask, &omask);
while ((err = pthread_create(&thread,&server.io_threads_attr,IOThreadEntryPoint,NULL)) != 0) {
redisLog(REDIS_WARNING,"Unable to spawn an I/O thread: %s",
strerror(err));
usleep(1000000);
}
pthread_sigmask(SIG_SETMASK, &omask, NULL);
server.io_active_threads++;
}
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/* Wait that all the pending IO Jobs are processed */
void waitEmptyIOJobsQueue(void) {
while(1) {
int io_processed_len;
lockThreadedIO();
if (listLength(server.io_newjobs) == 0 &&
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listLength(server.io_processing) == 0)
{
unlockThreadedIO();
return;
}
/* While waiting for empty jobs queue condition we post-process some
* finshed job, as I/O threads may be hanging trying to write against
* the io_ready_pipe_write FD but there are so much pending jobs that
* it's blocking. */
io_processed_len = listLength(server.io_processed);
unlockThreadedIO();
if (io_processed_len) {
vmThreadedIOCompletedJob(NULL,server.io_ready_pipe_read,
(void*)0xdeadbeef,0);
usleep(1000); /* 1 millisecond */
} else {
usleep(10000); /* 10 milliseconds */
}
}
}
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/* Process all the IO Jobs already completed by threads but still waiting
* processing from the main thread. */
void processAllPendingIOJobs(void) {
while(1) {
int io_processed_len;
lockThreadedIO();
io_processed_len = listLength(server.io_processed);
unlockThreadedIO();
if (io_processed_len == 0) return;
vmThreadedIOCompletedJob(NULL,server.io_ready_pipe_read,
(void*)0xdeadbeef,0);
}
}
/* This function must be called while with threaded IO locked */
void queueIOJob(iojob *j) {
redisLog(REDIS_DEBUG,"Queued IO Job %p type %d about key '%s'\n",
(void*)j, j->type, (char*)j->key->ptr);
listAddNodeTail(server.io_newjobs,j);
if (server.io_active_threads < server.vm_max_threads)
spawnIOThread();
}
void dsCreateIOJob(int type, redisDb *db, robj *key, robj *val) {
iojob *j;
j = zmalloc(sizeof(*j));
j->type = type;
j->db = db;
j->key = key;
incrRefCount(key);
j->val = val;
if (val) incrRefCount(val);
lockThreadedIO();
queueIOJob(j);
pthread_cond_signal(&server.io_condvar);
unlockThreadedIO();
}
void cacheScheduleForFlush(redisDb *db, robj *key) {
dirtykey *dk;
dictEntry *de;
de = dictFind(db->dict,key->ptr);
if (de) {
robj *val = dictGetEntryVal(de);
if (val->storage == REDIS_DS_DIRTY)
return;
else
val->storage = REDIS_DS_DIRTY;
}
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redisLog(REDIS_DEBUG,"Scheduling key %s for saving",key->ptr);
dk = zmalloc(sizeof(*dk));
dk->db = db;
dk->key = key;
incrRefCount(key);
dk->ctime = time(NULL);
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listAddNodeTail(server.cache_flush_queue, dk);
}
void cacheCron(void) {
time_t now = time(NULL);
listNode *ln;
/* Sync stuff on disk */
while((ln = listFirst(server.cache_flush_queue)) != NULL) {
dirtykey *dk = ln->value;
if ((now - dk->ctime) >= server.cache_flush_delay) {
struct dictEntry *de;
robj *val;
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redisLog(REDIS_DEBUG,"Creating IO Job to save key %s",dk->key->ptr);
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/* Lookup the key, in order to put the current value in the IO
* Job and mark ti as DS_SAVING.
* Otherwise if the key does not exists we schedule a disk store
* delete operation, setting the value to NULL. */
de = dictFind(dk->db->dict,dk->key->ptr);
if (de) {
val = dictGetEntryVal(de);
redisAssert(val->storage == REDIS_DS_DIRTY);
val->storage = REDIS_DS_SAVING;
} else {
/* Setting the value to NULL tells the IO thread to delete
* the key on disk. */
val = NULL;
}
dsCreateIOJob(REDIS_IOJOB_SAVE,dk->db,dk->key,val);
listDelNode(server.cache_flush_queue,ln);
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decrRefCount(dk->key);
zfree(dk);
} else {
break; /* too early */
}
}
/* Reclaim memory from the object cache */
while (server.ds_enabled && zmalloc_used_memory() >
server.cache_max_memory)
{
if (cacheFreeOneEntry() == REDIS_ERR) break;
}
}
/* ============ Negative caching for diskstore objects ====================== */
/* Since accesses to keys that don't exist with disk store cost us a disk
* access, we need to cache names of keys that do not exist but are frequently
* accessed. */
int cacheKeyMayExist(redisDb *db, robj *key) {
/* FIXME: for now we just always return true. */
return 1;
}
/* ============ Virtual Memory - Blocking clients on missing keys =========== */
/* This function makes the clinet 'c' waiting for the key 'key' to be loaded.
* If the key is already in memory we don't need to block, regardless
* of the storage of the value object for this key:
*
* - If it's REDIS_DS_MEMORY we have the key in memory.
* - If it's REDIS_DS_DIRTY they key was modified, but still in memory.
* - if it's REDIS_DS_SAVING the key is being saved by an IO Job. When
* the client will lookup the key it will block if the key is still
* in this stage but it's more or less the best we can do.
*
* FIXME: we should try if it's actually better to suspend the client
* accessing an object that is being saved, and awake it only when
* the saving was completed.
*
* Otherwise if the key is not in memory, we block the client and start
* an IO Job to load it:
*
* the key is added to the io_keys list in the client structure, and also
* in the hash table mapping swapped keys to waiting clients, that is,
* server.io_waited_keys. */
int waitForSwappedKey(redisClient *c, robj *key) {
struct dictEntry *de;
list *l;
/* Return ASAP if the key is in memory */
de = dictFind(c->db->dict,key->ptr);
if (de != NULL) return 0;
/* Add the key to the list of keys this client is waiting for.
* This maps clients to keys they are waiting for. */
listAddNodeTail(c->io_keys,key);
incrRefCount(key);
/* Add the client to the swapped keys => clients waiting map. */
de = dictFind(c->db->io_keys,key);
if (de == NULL) {
int retval;
/* For every key we take a list of clients blocked for it */
l = listCreate();
retval = dictAdd(c->db->io_keys,key,l);
incrRefCount(key);
redisAssert(retval == DICT_OK);
} else {
l = dictGetEntryVal(de);
}
listAddNodeTail(l,c);
/* Are we already loading the key from disk? If not create a job */
/* FIXME: if a given client was blocked for this key (so job already
* created) but the client was freed, there may be a job loading this
* key even if de == NULL. Does this creates some race condition?
*
* Example: after the first load the key gets a DEL that will schedule
* a write. But the write will happen later, the duplicated load will
* fire and we'll get again the key in memory. */
if (de == NULL)
dsCreateIOJob(REDIS_IOJOB_LOAD,c->db,key,NULL);
return 1;
}
/* Preload keys for any command with first, last and step values for
* the command keys prototype, as defined in the command table. */
void waitForMultipleSwappedKeys(redisClient *c, struct redisCommand *cmd, int argc, robj **argv) {
int j, last;
if (cmd->vm_firstkey == 0) return;
last = cmd->vm_lastkey;
if (last < 0) last = argc+last;
for (j = cmd->vm_firstkey; j <= last; j += cmd->vm_keystep) {
redisAssert(j < argc);
waitForSwappedKey(c,argv[j]);
}
}
/* Preload keys needed for the ZUNIONSTORE and ZINTERSTORE commands.
* Note that the number of keys to preload is user-defined, so we need to
* apply a sanity check against argc. */
void zunionInterBlockClientOnSwappedKeys(redisClient *c, struct redisCommand *cmd, int argc, robj **argv) {
int i, num;
REDIS_NOTUSED(cmd);
num = atoi(argv[2]->ptr);
if (num > (argc-3)) return;
for (i = 0; i < num; i++) {
waitForSwappedKey(c,argv[3+i]);
}
}
/* Preload keys needed to execute the entire MULTI/EXEC block.
*
* This function is called by blockClientOnSwappedKeys when EXEC is issued,
* and will block the client when any command requires a swapped out value. */
void execBlockClientOnSwappedKeys(redisClient *c, struct redisCommand *cmd, int argc, robj **argv) {
int i, margc;
struct redisCommand *mcmd;
robj **margv;
REDIS_NOTUSED(cmd);
REDIS_NOTUSED(argc);
REDIS_NOTUSED(argv);
if (!(c->flags & REDIS_MULTI)) return;
for (i = 0; i < c->mstate.count; i++) {
mcmd = c->mstate.commands[i].cmd;
margc = c->mstate.commands[i].argc;
margv = c->mstate.commands[i].argv;
if (mcmd->vm_preload_proc != NULL) {
mcmd->vm_preload_proc(c,mcmd,margc,margv);
} else {
waitForMultipleSwappedKeys(c,mcmd,margc,margv);
}
}
}
/* Is this client attempting to run a command against swapped keys?
* If so, block it ASAP, load the keys in background, then resume it.
*
* The important idea about this function is that it can fail! If keys will
* still be swapped when the client is resumed, this key lookups will
* just block loading keys from disk. In practical terms this should only
* happen with SORT BY command or if there is a bug in this function.
*
* Return 1 if the client is marked as blocked, 0 if the client can
* continue as the keys it is going to access appear to be in memory. */
int blockClientOnSwappedKeys(redisClient *c, struct redisCommand *cmd) {
if (cmd->vm_preload_proc != NULL) {
cmd->vm_preload_proc(c,cmd,c->argc,c->argv);
} else {
waitForMultipleSwappedKeys(c,cmd,c->argc,c->argv);
}
/* If the client was blocked for at least one key, mark it as blocked. */
if (listLength(c->io_keys)) {
c->flags |= REDIS_IO_WAIT;
aeDeleteFileEvent(server.el,c->fd,AE_READABLE);
server.cache_blocked_clients++;
return 1;
} else {
return 0;
}
}
/* Remove the 'key' from the list of blocked keys for a given client.
*
* The function returns 1 when there are no longer blocking keys after
* the current one was removed (and the client can be unblocked). */
int dontWaitForSwappedKey(redisClient *c, robj *key) {
list *l;
listNode *ln;
listIter li;
struct dictEntry *de;
/* The key object might be destroyed when deleted from the c->io_keys
* list (and the "key" argument is physically the same object as the
* object inside the list), so we need to protect it. */
incrRefCount(key);
/* Remove the key from the list of keys this client is waiting for. */
listRewind(c->io_keys,&li);
while ((ln = listNext(&li)) != NULL) {
if (equalStringObjects(ln->value,key)) {
listDelNode(c->io_keys,ln);
break;
}
}
redisAssert(ln != NULL);
/* Remove the client form the key => waiting clients map. */
de = dictFind(c->db->io_keys,key);
redisAssert(de != NULL);
l = dictGetEntryVal(de);
ln = listSearchKey(l,c);
redisAssert(ln != NULL);
listDelNode(l,ln);
if (listLength(l) == 0)
dictDelete(c->db->io_keys,key);
decrRefCount(key);
return listLength(c->io_keys) == 0;
}
/* Every time we now a key was loaded back in memory, we handle clients
* waiting for this key if any. */
void handleClientsBlockedOnSwappedKey(redisDb *db, robj *key) {
struct dictEntry *de;
list *l;
listNode *ln;
int len;
de = dictFind(db->io_keys,key);
if (!de) return;
l = dictGetEntryVal(de);
len = listLength(l);
/* Note: we can't use something like while(listLength(l)) as the list
* can be freed by the calling function when we remove the last element. */
while (len--) {
ln = listFirst(l);
redisClient *c = ln->value;
if (dontWaitForSwappedKey(c,key)) {
/* Put the client in the list of clients ready to go as we
* loaded all the keys about it. */
listAddNodeTail(server.io_ready_clients,c);
}
}
}