In this commit, we fix a slight race condition that can occur when we go
to add a shell node for a node announcement, but then right afterwards,
a new block arrives that causes us to prune an unconnected node. To
ensure this doesn't happen, we now add shell nodes within the same db
transaction as AddChannelEdge. This ensures that the state is fully
consistent and shell nodes will be added atomically along with the new
channel edge.
As a result of this change, we no longer need to add shell nodes within
the ChannelRouter, as the database will take care of this operation as
it should.
In this commit, we fix an existing bug in the pruneGraphNodes method.
Before this commit, if a node was involved in a channel, but only one of
the edges was advertised, then either it, or the other node would be
erroneously pruned from the graph. They shouldn't be pruned as there's
still an edge connecting the, although only 1/2 of the edge is actually
advertised.
In order to fix this, we'll now do two passes: the first pass will
populate a ref count map of all known nodes in the graph, the second
pass will increment the ref count each time a node is found in the
graph. With this two pass method, we ensure that nodes are only deleted
if there are absolutely no edges pointing to them within the graph.
In this commit, we extend the TestPruneGraphNodes test to also test the
case of when a node is involved in a channel, but only a single edge for
that channel has been advertised. In order to test this, we add an
additional node to the graph, and also a new channel. However, this
channel will only have a single edge advertised. As result, when we
prune the set of edges, the only node remaining should be the node that
didn't have any edges at all.
In this commit, we extend the server's functionality to prune link nodes
on startup. Since we currently only decide whether to prune a link node
from the database based on a channel close, it's possible that we have
link nodes lingering from before this functionality was added on.
In this commit, we fix an existing bug related to duplicate invoice
settle.s Before this commit, the second (and later) times an invoice was
settled we would return a nil pointer. This would result in the new
invoiceRegistry panicing as it would go to attempt to notify with a nil
invoice.
We fix this by returning the invoice on disk (unmodified) for each
settle after the initial one.
Fixes#1568.
In this commit, we add a new test to ensure that duplicate invoice
settles work as expected. At the present time, this test will fail as
the second to last assertion fails as we'll return a nil invoice the
second time around.
In this commit, we migrate the database away from a partially migrated
state. In a prior commit, we migrated the database in order to update
the Invoice struct with three new fields: add index, settle index, paid
amt. However, it was overlooked that the OutgoingPayment struct also
embedded an Invoice within it. As a result, nodes that upgraded to the
first migration found themselves unable to start up, or call
listpayments, as the internal invoice within the OutgoignPayment hadn't
yet been updated. This would result in an OOM typically as we went to
allocate a slice with a integer that should have been small, but may
have ended up actually being a set of random bytes, so a very large
number.
In this commit, we finish the DB migration by also migrating the
internal invoice within each OutgoingPayment.
Fixes#1538.
Fixes#1546.
In this commit, we fix an existing bu gin the invoice time series
migration code. Before this commit, the migration would fail as we would
try to migrate an empty invoice. We now detect this case and skip all
empty invoices.
We also add a bit more logging on both the info and trace logging level.
In this commit, we add two new methods: InvoicesAddedSince and
InvoicesSettledSince. These methods will be used by higher level
sub-systems that implement notifications to deliver any notifications
backlog based on the last add index, and last settle index that the
client knows of.
It's important to note that care has been taken to ensure that this new
API can be used in a backwards compatible manner. If a client specifies
and index of 0 for either of the methods, then no backlog will be sent.
This is due to the fact that current users of the API don't expect any
backlog notifications to be sent. Additionally, the index actually
starts at 1, instead of 0.
In this commit, we add two new indexes to the invoice database: the add
index, and the settle index. These to indexes essentially form a time
series index on top of the existing primary index bucket. Each time an
invoice is added, we'll advance the addIndex seqno, and then create a
mapping from seqNo -> invoiceNum. Each time an invoice is settled, we'll
do the same, but within the settle index.
This change is required in order to allow callers to effectively seek
into the current invoice database in order to obtain notifications for
any invoices they may have missed out on while they were disconnected.
This will allow us to implement robust streaming invoice notifications
within lnd to ensure that clients never miss an event.
In this commit, in order to allow the caller to specify the amount that
was ultimately accepted for an invoice, the SettleInvoice method has
gained a new parameter: amtPaid. SettleInvoice will now populate the
final amount paid in the database upon db commit.
In this commit, we move to explicitly storing a bit more information
within the invoice. Currently this information is already stored in the
payment request, but by storing it at this level, callers that may not
be in the state to fully decode a payment request can obtain this data.
We avoid a database migration by appending this data to the end of an
invoice. When decoding, we'll try to read out this extra information,
and simply return what we have if it isn't found.
This commit synchronizes the in-memory cache with the
on-disk state to ensure the waiting proof store is
externally consistent. Currently, there are scenarios
where the in-memory state is updated, and not reverted
if the write fails. The general fix is to wait to apply
modifications until the write succeeds, and use a
read/write lock to synchronize access with db operations.
In this commit, we fix an existing bug in the new graph query sync
feature. Before this commit, when a block is pruned, we would never
actually delete the update index entries. This is due to the fact that
we would attempt to delete the entries from the update index _after_ we
had already removed the edges from the update index.
We fix this by simply swapping the order: first we delete from the
update index, then we delete the edges themselves. A test ensuring that
the entires are cleared (which failed before this commit), has been
added.
In this commit, we go through the codebase looking for TCP address
assumptions and modifying them to include the recently introduced onion
addresses. This enables us to fully support onion addresses within the
daemon.
In this commit, we modify the waiting proof slightly to acept dupliacte
waiting proofs, rather than reject them. Otherwise, it's possible that
the remote node first sends us their half of the waiting proof (before
we do), we write that to disk, then upon restart, we'll try to add it
again, but be rejected by the system.
Fixes#1315.
In this commit, we ensure that all indexes for a particular channel have
any relevant keys deleted once a channel is removed from the database.
Before this commit, if we pruned a channel due to closing, then its
entry in the channel update index would ever be removed.
In this commit, we add a new database migration required to update old
database to the version of the database that tracks the update index for
the nodes and edge policies. The migration is straight forward, we
simply need to populate the new indexes for the all the nodes, and then
all the edges.
In this commit, we add a series of methods, and a new database index
that we'll use to implement the new discovery.ChannelGraphTimeSeries
interface interface. The primary change is that we now maintain two new
indexes tracking the last update time for each node, and the last update
time for each edge. These two indexes allow us to implement the
NodeUpdatesInHorizon and ChanUpdatesInHorizon methods. The remaining
methods added simply utilize the existing database indexes to allow us to
respond to any peer gossip range queries.
A set of new unit tests has been added to exercise the added logic.
Olaoluwa Osuntokun