Documentation ¶
Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type HeaderPile ¶
type HeaderPile struct {
// contains filtered or unexported fields
}
HeaderPile is a hybrid container for a lazily and concurrently populated growing-only slice of items (of type `*tar.Header`) which may be traversed in parallel to it's growth.
Usage for a pile `p`:
p := MakeHeaderPile(128, 32)
Have it grow concurrently using multiple:
var item *tar.Header = something p.Pile(item)
in as many go routines as You may seem fit.
In parallel, You may either traverse `p` in parallel right away:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
Here p.Iter() starts a new transversal with the first item (if any), and p.Next() keeps traverses the HeaderPile.
or traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available:
r, p := <-p.Done(), nil
Hint: here we get the result in `r` and at the same time discard / deallocate / forget the pile `p` itself.
Note: The traversal is *not* intended to be concurrency safe! Thus: You may call `Pile` concurrently to Your traversal, but use of either `Done` or `Iter` and `Next` *must* be confined to a single go routine (thread).
func MakeHeaderPile ¶
func MakeHeaderPile(size, buff int) *HeaderPile
MakeHeaderPile returns a (pointer to a) fresh pile of items (of type `*tar.Header`) with size as initial capacity and with buff as initial leeway, allowing as many Pile's to execute non-blocking before respective Done or Next's.
func (*HeaderPile) Close ¶
func (d *HeaderPile) Close() (err error)
Close - call once when everything has been piled.
Close intentionally implements io.Closer ¶
Note: After Close(), any Close(...) will panic and any Pile(...) will panic and any Done() or Next() will return immediately: no eventual blocking, that is.
func (*HeaderPile) Done ¶
func (d *HeaderPile) Done() (done <-chan []*tar.Header)
Done returns a channel which emits the result (as slice of Header) once the pile is closed.
Users of Done() *must not* iterate (via Iter() Next()...) before the done-channel is closed!
Done is a convenience - useful iff You do not like/need to start any traversal before the pile is fully populated. Once the pile is closed, Done() will signal in constant time.
Note: Upon signalling, the pile is reset to it's tip, so You may traverse it (via Next) right away. Usage for a pile `p`: Traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available
r, p := <-p.Done(), nil
while discaring the pile itself.
func (*HeaderPile) Iter ¶
func (d *HeaderPile) Iter() (item *tar.Header, ok bool)
Iter puts the pile iterator back to the beginning and returns the first `Next()`, iff any. Usage for a pile `p`:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
func (*HeaderPile) Next ¶
func (d *HeaderPile) Next() (item *tar.Header, ok bool)
Next returns the next item, or false iff the pile is exhausted.
Note: Iff the pile is not closed yet, Next may block, awaiting some Pile().
func (*HeaderPile) Pile ¶
func (d *HeaderPile) Pile(item *tar.Header)
Pile appends an `*tar.Header` item to the HeaderPile.
Note: Pile will block iff buff is exceeded and no Done() or Next()'s are used.
type ReaderPile ¶
type ReaderPile struct {
// contains filtered or unexported fields
}
ReaderPile is a hybrid container for a lazily and concurrently populated growing-only slice of items (of type `*tar.Reader`) which may be traversed in parallel to it's growth.
Usage for a pile `p`:
p := MakeReaderPile(128, 32)
Have it grow concurrently using multiple:
var item *tar.Reader = something p.Pile(item)
in as many go routines as You may seem fit.
In parallel, You may either traverse `p` in parallel right away:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
Here p.Iter() starts a new transversal with the first item (if any), and p.Next() keeps traverses the ReaderPile.
or traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available:
r, p := <-p.Done(), nil
Hint: here we get the result in `r` and at the same time discard / deallocate / forget the pile `p` itself.
Note: The traversal is *not* intended to be concurrency safe! Thus: You may call `Pile` concurrently to Your traversal, but use of either `Done` or `Iter` and `Next` *must* be confined to a single go routine (thread).
func MakeReaderPile ¶
func MakeReaderPile(size, buff int) *ReaderPile
MakeReaderPile returns a (pointer to a) fresh pile of items (of type `*tar.Reader`) with size as initial capacity and with buff as initial leeway, allowing as many Pile's to execute non-blocking before respective Done or Next's.
func (*ReaderPile) Close ¶
func (d *ReaderPile) Close() (err error)
Close - call once when everything has been piled.
Close intentionally implements io.Closer ¶
Note: After Close(), any Close(...) will panic and any Pile(...) will panic and any Done() or Next() will return immediately: no eventual blocking, that is.
func (*ReaderPile) Done ¶
func (d *ReaderPile) Done() (done <-chan []*tar.Reader)
Done returns a channel which emits the result (as slice of Reader) once the pile is closed.
Users of Done() *must not* iterate (via Iter() Next()...) before the done-channel is closed!
Done is a convenience - useful iff You do not like/need to start any traversal before the pile is fully populated. Once the pile is closed, Done() will signal in constant time.
Note: Upon signalling, the pile is reset to it's tip, so You may traverse it (via Next) right away. Usage for a pile `p`: Traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available
r, p := <-p.Done(), nil
while discaring the pile itself.
func (*ReaderPile) Iter ¶
func (d *ReaderPile) Iter() (item *tar.Reader, ok bool)
Iter puts the pile iterator back to the beginning and returns the first `Next()`, iff any. Usage for a pile `p`:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
func (*ReaderPile) Next ¶
func (d *ReaderPile) Next() (item *tar.Reader, ok bool)
Next returns the next item, or false iff the pile is exhausted.
Note: Iff the pile is not closed yet, Next may block, awaiting some Pile().
func (*ReaderPile) Pile ¶
func (d *ReaderPile) Pile(item *tar.Reader)
Pile appends an `*tar.Reader` item to the ReaderPile.
Note: Pile will block iff buff is exceeded and no Done() or Next()'s are used.
type WriterPile ¶
type WriterPile struct {
// contains filtered or unexported fields
}
WriterPile is a hybrid container for a lazily and concurrently populated growing-only slice of items (of type `*tar.Writer`) which may be traversed in parallel to it's growth.
Usage for a pile `p`:
p := MakeWriterPile(128, 32)
Have it grow concurrently using multiple:
var item *tar.Writer = something p.Pile(item)
in as many go routines as You may seem fit.
In parallel, You may either traverse `p` in parallel right away:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
Here p.Iter() starts a new transversal with the first item (if any), and p.Next() keeps traverses the WriterPile.
or traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available:
r, p := <-p.Done(), nil
Hint: here we get the result in `r` and at the same time discard / deallocate / forget the pile `p` itself.
Note: The traversal is *not* intended to be concurrency safe! Thus: You may call `Pile` concurrently to Your traversal, but use of either `Done` or `Iter` and `Next` *must* be confined to a single go routine (thread).
func MakeWriterPile ¶
func MakeWriterPile(size, buff int) *WriterPile
MakeWriterPile returns a (pointer to a) fresh pile of items (of type `*tar.Writer`) with size as initial capacity and with buff as initial leeway, allowing as many Pile's to execute non-blocking before respective Done or Next's.
func (*WriterPile) Close ¶
func (d *WriterPile) Close() (err error)
Close - call once when everything has been piled.
Close intentionally implements io.Closer ¶
Note: After Close(), any Close(...) will panic and any Pile(...) will panic and any Done() or Next() will return immediately: no eventual blocking, that is.
func (*WriterPile) Done ¶
func (d *WriterPile) Done() (done <-chan []*tar.Writer)
Done returns a channel which emits the result (as slice of Writer) once the pile is closed.
Users of Done() *must not* iterate (via Iter() Next()...) before the done-channel is closed!
Done is a convenience - useful iff You do not like/need to start any traversal before the pile is fully populated. Once the pile is closed, Done() will signal in constant time.
Note: Upon signalling, the pile is reset to it's tip, so You may traverse it (via Next) right away. Usage for a pile `p`: Traverse blocking / awaiting close first:
for item := range <-p.Done() { ... do sth with item ... }
or use the result when available
r, p := <-p.Done(), nil
while discaring the pile itself.
func (*WriterPile) Iter ¶
func (d *WriterPile) Iter() (item *tar.Writer, ok bool)
Iter puts the pile iterator back to the beginning and returns the first `Next()`, iff any. Usage for a pile `p`:
for item, ok := p.Iter(); ok; item, ok = p.Next() { ... do sth with item ... }
func (*WriterPile) Next ¶
func (d *WriterPile) Next() (item *tar.Writer, ok bool)
Next returns the next item, or false iff the pile is exhausted.
Note: Iff the pile is not closed yet, Next may block, awaiting some Pile().
func (*WriterPile) Pile ¶
func (d *WriterPile) Pile(item *tar.Writer)
Pile appends an `*tar.Writer` item to the WriterPile.
Note: Pile will block iff buff is exceeded and no Done() or Next()'s are used.