This commit fixes#810 and adds block streaming to the final destinations when
adding. This should add major performance gains when adding data to clusters.
Before, everytime cluster issued a block, it was broadcasted individually to
all destinations (new libp2p stream), where it was block/put to IPFS (a single
block/put http roundtrip per block).
Now, blocks are streamed all the way from the adder module to the ipfs daemon,
by making every block as it arrives a single part in a multipart block/put
request.
Before, block-broadcast needed to wait for all destinations to finish in order
to process the next block. Now, buffers allow some destinations to be faster
than others while sending and receiving blocks.
Before, if a block put request failed to be broadcasted everywhere, an error
would happen at that moment.
Now, we keep streaming until the end and only then report any errors. The
operation succeeds as long as at least one stream finished successfully.
Errors block/putting to IPFS will not abort streams. Instead, subsequent
blocks are retried with a new request, although the method will return an
error when the stream finishes if there were errors at any point.
* Libp2p protectors no longer needed, use PSK directly
* Generate cluster 32-byte secret here (helper gone from pnet)
* Switch to go-log/v2 in all places
* DHT bootstrapping not needed. Adjust DHT options for tests.
* Do not rely on dissappeared CidToDsKey and DsKeyToCid functions fro dshelp.
* Disable QUIC (does not support private networks)
* Fix tests: autodiscovery started working properly
This takes advantange of the latest features in go-cid, peer.ID and
go-multiaddr and makes the Go types serializable by default.
This means we no longer need to copy between Pin <-> PinSerial, or ID <->
IDSerial etc. We can now efficiently binary-encode these types using short
field keys and without parsing/stringifying (in many cases it just a cast).
We still get the same json output as before (with minor modifications for
Cids).
This should greatly improve Cluster performance and memory usage when dealing
with large collections of items.
License: MIT
Signed-off-by: Hector Sanjuan <hector@protocol.ai>