s3: use single memory pool

Previously we had a map of pools for different chunk sizes.
In practice the mapping is not very useful and requires a lock.
Pools of size other that ChunkSize can only happen when we have a huge file (over 10k * ChunkSize).
We need to have a bunch of identically sized huge files.
In such case most likely ChunkSize should be increased.

The mapping and its lock is replaced with a single initialised pool for ChunkSize, in other cases pool is allocated and freed on per file basis.

backend/s3/s3.go

@@ -952,8 +952,7 @@ type Fs struct {
 	cache         *bucket.Cache    // cache for bucket creation status
 	pacer         *fs.Pacer        // To pace the API calls
 	srv           *http.Client     // a plain http client
-	poolMu        sync.Mutex           // mutex protecting memory pools map
+	pool          *pool.Pool       // memory pool
-	pools         map[int64]*pool.Pool // memory pools
 }
 
 // Object describes a s3 object
@@ -1247,7 +1246,12 @@ func NewFs(name, root string, m configmap.Mapper) (fs.Fs, error) {
 		pacer: fs.NewPacer(pacer.NewS3(pacer.MinSleep(minSleep))),
 		cache: bucket.NewCache(),
 		srv:   fshttp.NewClient(fs.Config),
-		pools: make(map[int64]*pool.Pool),
+		pool: pool.New(
+			time.Duration(opt.MemoryPoolFlushTime),
+			int(opt.ChunkSize),
+			opt.UploadConcurrency*fs.Config.Transfers,
+			opt.MemoryPoolUseMmap,
+		),
 	}
 
 	f.setRoot(root)
@@ -1938,20 +1942,17 @@ func (f *Fs) Hashes() hash.Set {
 }
 
 func (f *Fs) getMemoryPool(size int64) *pool.Pool {
-	f.poolMu.Lock()
+	if size == int64(f.opt.ChunkSize) {
-	defer f.poolMu.Unlock()
+		return f.pool
+	}
 
-	_, ok := f.pools[size]
+	return pool.New(
-	if !ok {
-		f.pools[size] = pool.New(
 		time.Duration(f.opt.MemoryPoolFlushTime),
 		int(size),
 		f.opt.UploadConcurrency*fs.Config.Transfers,
 		f.opt.MemoryPoolUseMmap,
 	)
 }
-	return f.pools[size]
-}
 
 // ------------------------------------------------------------