GitLab

* Converting from IPLD to datastore-based pins no longer requires loading all dag-storage pins (including indirect pins) into memory
* increase test coverage

feat: store pins in datastore instead of a DAG

Adds a new `/pins` namespace to the given datastore and uses that to store pins as cbor binary, keyed by unique pin ID.

The new datastore pinner stores pins in the datastore as individual key-value items. This is faster than the dag pinner, which stored all pins in a single dag that had to be rewritten every time a pin was added or removed.

The new pinner provides a secondary indexing mechanism that can be used to index any data that a pin has. Secondary indexing logic is provided by the `dsindex` package. The new pinner currently includes indexing by CID.

Both the new datastore pinner (`dspinner` package) and the old dag pinner (`ipldpinner` package) implementations are included to support migration between the two.  Migration logic is provided by the `pinconv` package.

Other features in new pinner:
- Benchmarks are provided to compare performance of between the old and new pinners
- New pinner does not keep in-memory set of pinned CIDs, instead it relies on the datastore
- Separate recursive and direct CID indexes allow searching for pins without having to load pin data to check the mode
- New pinner can rebuild indexes on load, if saved pins appear out of sync with the indexes