Check if queries that have a 'like' argument are applied to keyed
fields. If not, log that the user is trying to use 'like' on an
unsupported field type (as opposed to reporting that there
are no results.)
When deletion is started, _exists field is updated with row+1.
After deletion is completed, we delete _exists=row+1.
If _exists>=1, then deletion was not completed.
Updated go version in docker to match other requirements.
Removed duplicate error check for grpc.
There's an obvious bug, plus another bug that I hit trying to reproduce
the first bug, plus another... it's a long story.
Basically: If you get nothing back from executeDistinctShardBSI on a
Timestamp field, the request for a large enough pool of strings to hold
timestamp conversions of the nothing segfaults because r.Columns() on
a nil row segfaults.
To try to test this better, I added a filter to the executor test that
we use for this case, which got me a different result complaining about
a DistinctTimestamp result not being a SignedRow.
So, there's a couple of issues. One is that, in the case where a filter
is present, if the filter comes up with nothing, we can bail early
and return a result of the SignedRow type, which then breaks the reduce
part of our map/reduce when we try to reduce DistinctTimestamp values
into a SignedRow. To fix this, we make sure that we return the expected
type even in the case where we're bailing early.
A simpler way to see the actual original bug is, rather than having
a filter, just have a shard that has a value in *some other field*
but not in the timestamp field. So we add that to the test, too.
But also, really, since this is a problem that's happened more than
once, I propose that we also just make nil rows allow you to request
their columns and get back nil, so things like this don't bite us as
much. This wouldn't be a sufficient fix for the filter case, and I
still have the short-circuit for the nil row case explicitly in this
particular case because relying on the nil behavior bugs me, but I
think it's safer to allow .Columns on nil rows.
This adopts the task pool functionality to let us spawn new worker
threads when worker threads are blocked. The underlying reason for
this is the same as the reason for the previous worker-pool-growing
strategy; while our design persistently has at least one thing which
can proceed, it can be the case that there are N things blocked,
where N is the size of our worker pool. Blocked workers shouldn't
count against our desired number of workers.
Originally, the intent was to thread this into RBF, and provide
backpressure from RBF on the pool when blocking on writes. Unfortunately,
that's not good enough, because while a write is blocked, the Qcx
calling it is *also* holding the Qcx's mutex, which means that any other
NewTx on that Qcx will *also* block. So we need to block for the
entire time of the NewTx.
Removing the existing worker spawning code resulted in a subtle
and maybe-harmless change; prior to this, each invocation of `mapperLocal`
would hold a lock, which meant that all the tasks for a given local mapper
would be put in the queue *sequentially*, ensuring that they'd all be
picked up by workers before things from later workers.
With the new pushback, that's not, strictly, necessary. Also, if you
disable it, you can end up with 300,000 goroutines at once, most of them
blocked.
A smallish run does, in fact, eventually complete anyway -- it will
indeed keep making workers until everything gets one. However, while
it's *correct*, it's also noticably *slower*. The same test workload
goes from around 33 seconds to a bit over 40 seconds when that lock
isn't present. (But that's with an extremely small WAL write cap
introduced to make the previous deadlock possible.)
With large numbers of shards, the practical impact is that you can
have quite a lot of things in process, with hundreds of goroutines
each, all blocked waiting for one writer. If we force them to all be
processed at the same time, all the reads that are connected to
each other are much more likely to get all processed at once, before
something new comes along.
In short, that lock isn't strictly necessary but it seems to help
noticably with performance and reduce simultaneous goroutines
significantly.
if we have more than twice our starting worker pool, and have had no
tasks when checking the queue for multiple rounds, send a job telling
the system to retire a worker. eventually we'll get down to about 2x
the starting pool size if we stay idle.
When a qcx is a write, every Tx under it closes immediately, thus
invalidating all returned data. Thus, if you do a Not() inside a Store(),
you're doing a difference on an existence row and some other row
call... and both of those rows were run, individually, as separate
transactions that got invalidated the moment they were fetched. Oops.
i used this script, a little clunky but it got the job done
```bash
for file in `find . -type f -print | grep '\.go'`; do
sed '1,/^\/\/ limitations under the License.$/d' $file > $file.tmp;
result=`cat $file.tmp`
if [[ result != "" ]]; then
gofmt $file.tmp &> /dev/null;
if [[ $? == 0 ]]; then
mv $file.tmp $file && gofmt -w $file;
else
rm $file.tmp;
fi
else
rm $file.tmp;
fi
done
```
