This document describes the proposed programming interface for streaming data from and into repositories. This programming interface should allow a single interface for pulling data from and inserting data into a Breezy repository.
To eliminate the current requirement that extracting data from a repository requires either using a slow format, or knowing the format of both the source repository and the target repository.
Here’s a brief description of use cases this interface is intended to support.
We fetch data between repositories as part of push/pull/branch operations. Fetching data is currently an very interactive process with lots of requests. For performance having the data be supplied in a stream will improve push and pull to remote servers. For purely local operations the streaming logic should help reduce memory pressure. In fetch operations we always know the formats of both the source and target.
With the smart server we support one streaming format, but this is only usable when both the client and server have the same model of data, and requires non-optimal IO ordering for pack to pack operations. Ideally we can both provide optimal IO ordering the pack to pack case, and correct ordering for pack to knits.
Bundles also create a stream of data for revisions from a repository. Unlike fetch operations we do not know the format of the target at the time the stream is created. It would be good to be able to treat bundles as frozen branches and repositories, so a serialised stream should be suitable for this.
Some key aspects of the described interface are discussed in this section.
All users of this should be able to create an appropriate stream from a single round trip.
At this point serialisation of a repository stream has not been specified. Some considerations to bear in mind about serialisation are worth noting however.
While there shouldn’t be too many users of weave repositories anymore, avoiding pathological behaviour when a weave is being read is a good idea. Having the weave itself embedded in the stream is very straight forward and does not need expensive on the fly extraction and re-diffing to take place.
Being able to perform random reads from a repository stream which is a bundle would allow stacking a bundle and a real repository together. This will need the pack container format to be used in such a way that we can avoid reading more data than needed within the pack container’s readv interface.
This describes the interface for requesting a stream, and the programming interface a stream must provide. Streams that have been serialised should expose the same interface.
To request a stream, three parameters are needed:
A revision search to select the revisions to include.
A data ordering flag. There are two values for this - ‘unordered’ and ‘topological’. ‘unordered’ streams are useful when inserting into repositories that have the ability to perform atomic insertions. ‘topological’ streams are useful when converting data, or when inserting into repositories that cannot perform atomic insertions (such as knit or weave based repositories).
A complete_inventory flag. When provided this flag signals the stream generator to include all the data needed to construct the inventory of each revision included in the stream, rather than just deltas. This is useful when converting data from a repository with a different inventory serialisation, as pure deltas would not be able to be reconstructed.
A stream is an object. It can be consistency checked via the
method (which consumes the stream). The
iter_contents method can be
used to iterate the contents of the stream. The contents of the stream are
a series of top level records, each of which contains one or more
bytestrings (potentially as a delta against another item in the
repository) and some optional metadata.
To consume a stream, obtain an iterator from the streams
iter_contents method. This iterator will yield the top level records.
Each record has two attributes. One is
key_prefix which is a tuple key
prefix for the names of each of the bytestrings in the record. The other
entries, an iterator of the individual items in the
record. Each item that the iterator yields is a factory which has metadata
about the entry and the ability to return the compressed bytes. This
factory can be decorated to allow obtaining different representations (for
example from a compressed knit fulltext to a plain fulltext).
stream = repository.get_repository_stream(search, UNORDERED, False) for record in stream.iter_contents(): for factory in record.entries: compression = factory.storage_kind print("Object %s, compression type %s, %d bytes long." % ( record.key_prefix + factory.key, compression, len(factory.get_bytes_as(compression))))
This structure should allow stream adapters to be written which can coerce all records to the type of compression that a particular client needs. For instance, inserting into weaves requires fulltexts, so a stream would be adapted for weaves by an adapter that takes a stream, and the target weave, and then uses the target weave to reconstruct full texts (which is all that the weave inserter would ask for). In a similar approach, a stream could internally delta compress many fulltexts and be able to answer both fulltext and compressed record requests without extra IO.
- Valid attributes on the factory are:
sha1: Optional ascii representation of the sha1 of the bytestring (after delta reconstruction).
storage_kind: Required kind of storage compression that has been used on the bytestring. One of
parents: Required graph parents to associate with this bytestring.
compressor_data: Required opaque data relevant to the storage_kind. (This is set to None when the compressor has no special state needed)
key: The key for this bytestring. Like each parent this is a tuple that should have the key_prefix prepended to it to give the unified repository key name.