The "batched" flag creates a complexity which is that the return value of Add
might or might not be meaningful, but it doesn't really buy us very much.
If we are concerned about the ops log size of writing single ops as 21-byte
arrays of 1 op rather than as 13-byte ops, we can make the AddN code smarter
about how it writes ops. And probably should.
Along with this, change Remove to use the batched operation form, which
writes a more meaningful ops log, and return a meaningful value for changes
made. Otherwise, it ends up writing potentially thousands of ops to the
ops log without reporting any OpN, because the number of ops written isn't
the same as the number of changes those ops made. This could result in
files growing by megabytes without OpN changing.
There was a comment here about a test failing with RemoveN. I can't prove
it, but I strongly suspect that this was actually a result of that test
case hitting a particular bug that we eventually fixed, and which we might
have fixed sooner if we'd realized why using RemoveN made that test
fail.
- Previously, on timequantum schemas, we would
create and open a view for the cartesian
product of every possible view and shard.
- This caused us to be very slow on re-open,
and to use lots of memory for views that
held nothing.
- This change makes startup faster, memory
use much lower, and should speed migration.
- use short_txkey for rbf
- short_txkey breaks a bunch of bolt_test.go, so leave it on (long) txkey for now.
- remove SliceOfShards method from Tx interface
