This adds a shard-based import endpoint which takes bitmap data for
all field types and imports data for the whole shard transactionally.
It uses the BitmapRewriter interface to try to intelligently allow for
setting and clearing bits simultaneously without multiple writes which
is especially helpful when ingesting into int-like fields, but also
allows clear-and-then-set behavior for set fields.
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
```
Underlying goal: Don't use the http client to send messages back to the
local host. Also, when sending data to other nodes, don't collate it
from an ImportRequest into a completely different format, then immediately
collate that back into an ImportRequest. This does require changing
the logic over in ctl/import to make it create an ImportRequest.
Also, add additional testing to make sure we're actually trying anything
at all with several combinations (such as submitting import requests
which don't match the configuration of index or field), and improve
test coverage for that.
This introduces the ability to tell an http/client InternalClient about
a specific API that it should use for local queries where applicable.
That's not implemented outside of the import stuff, but should probably
be applied eventually to other things that are trying to talk to many
nodes one of which may be the local node. That behavior is contingent
on passing in a Qcx, because it is implicitly tied to an existing
execution context, and it can't assume that it can create a new one,
because that could deadlock.
In fact, we have a number of things assuming that values passed to Import
always fit within a single known shard, so, drop all the extra complexity
around this, drop the computation of fancy view/shard keys, and so on.
There's a lot of room left to improve this probably but it's at least
better, I think.
Unfortunately, there's a handful of things, basically all of which are
test cases, which were relying on this, so, we also add functionality
for splitting import requests by shards. But this allows us to stop
duplicating each shard's inputs one at a time... which turns out to
mean that we now care that the import operation can write back to the
import request. This only affects test cases, so we adopt a crufty
hack involving cloning import requests in those rare cases, and also
when reusing the same column IDs to write to the existence field that
we'd be using later to write to another field.
Note that even if we weren't overwriting the column IDs with positions,
we'd be sorting the column/row ID lists by row-then-column, which means
we'd still be corrupting the column ID lists. This may want to change
at some point.
We also reuse a single Tx for all the views, because DB-per-shard
means that should work fine, and reduces the cost of doing these
updates, probably.
sort.Stable has horrible runtime -- O(n*logn*logn) -- but if we
don't use sort.Stable, our logic for ensuring that we apply the
"last" value for a given column is actually completely wrong in
the first place.
Attributes are unmaintained and unused.
They have become more of a liability than a benefit.
This change eliminates them from the codebase.
The only user-visible change (assuming that attrs are not used) is that the attrs field will no longer appear in row JSON.
We execute the aggregate Distinct calls after the GroupBy is complete,
and we need these to act like non-remote calls in that they forward to
all nodes, but like remote calls in that they bypass key
translation. Added a "PreTranslated" flag to the QueryRequest to
achieve this.
Discovered an issue where a nil *Row in EmbeddedData would cause a
panic in the protobuf serialization. Changed the encoding code we
control to never pass a nil *Row.
Got fed up with lack of context on errors and added wrapping to all
calls under executor.executeCall as well as a few other places.
Handled a situation where not having data on a shard for a particular
field could cause a query to error instead of just treating that
fragment as being empty. (see the switch in executeDistinctShardSet)
Stopped GroupBy from executing the Count(Distinct) aggregate on Remote
calls.
Fixed a longstanding issue where errors retrieved from remote query
calls had a garbage character at the front due to treating a protobuf
payload as an error message instead of decoding it. (see
http/client.go)
- Atomic record contains multiple ImportRequest and
ImportValueRequest, plus ability to Clear individual requests.
- adds http handlers for importing AtomicRecord.
This is sort of large, but it's annoyingly difficult to
separate out.
The basic idea is to allow us to have a single holder-iterating
block of code, which is associated with the holder, that can be used
for various things, like the snapshot queue background scan, or
for inspect operations.
We invent the concept of a HolderFilter, which is a thing that
can decide what things in a holder it cares about, and a HolderOperator,
which can also process those things selectively.
In the process, we fix up a couple of subtle bugs in the
inspect logic; specifically, the assumption that the mapped flag could
tell you whether a container was modified by the ops log doesn't
work with mmap, so we have a shiny new flag which is used to track
that, internal to the roaring/container code.
All of this leads to the actual *point* of this exercise, which is
making it easier to create an /inspect endpoint which produces almost
the same data we'd have gotten from `pilosa inspect` on a data directory;
the distinction is that it doesn't try to identify the distinction
between data from disk and data from operations since the file was
loaded. Possibly it should, but it doesn't yet.
The snapshot queue is now implemented using the HolderOperator
design, which requires some subtle changes to how it works, but
overall makes it easier to follow the snapshot queue logic,
and also shares that logic with the way Inspect works.
The holder's snapshot queue is now provided by the server, in
a default environment.
The queueless snapshot queue no longer triggers snapshots on
enqueue -- it turns out that breaks badly, because a key
point about enqueueing a snapshot is that it's safe to do it
*during* a transaction on that fragment, and triggering a
snapshot during a transaction actually causes horrible errors
as the ops log ends up being the old file, which we close.
Related to this, we also need to prevent closed fragments from
trying to snapshot, so we track fragment openness when opening
or closing, and bail on trying to snapshot a fragment which is closed.
We also stop using the queueless snapshot queue during tests,
because that's a horrible idea.
We copy a little bit of the partition logic from the cluster code so
we don't have to expose it all, this lets us check whether the node
we're looking at is the one which should be primary for a given shard,
and if not, identify which node would be. This works only when
pointed at a data directory, for now.
The test cases for the holder have to be internal, because pilosa
doesn't export view/fragment, just Index/Field. This means that the
holder test cases can't just use the test/* package, so they duplicate
some of its logic, approximately.
This PR adds support for anti-entropy syncing for integer
and decimal fields. It differs from the logic for other
field types in that it does not rely on a consensus to determine
what the value should be; instead, it considers the correct
values to be those of the primary replica. From there, data
is pushed to all non-primary replicas.
This allows a BSI field to have an option indicating
that it is a foreign key to another index. If the foreign
index has column keys, then this field handles string values
by using the foreign index's translate store.
So in some cases, when we do a query, the results of one
part of the query are innately shared-across-nodes; for
instance, a hypothetical Distinct query. More generally,
we allow cross-index queries; calls can have "index=foo"
in them.
This patch lets us handle that without duplicating that
query all over. Before we actually start doing the
separate calls, we run the query once from the coordinating
node, then patch the results in, and send relevant subsets
over to each client, etcetera. Also provides slightly
friendlier (and I hope faster) support for converting
bitmaps to/from sets of rows.
We also add an extension interface, and some fancy stuff
to let us define new calls, which use this. They're sort
of tied together because the first extension I wanted to
implement needed precomputed calls. The extension API
lets us create extensions using `pkg/plugin` (with all its
associated limitations, unfortunately), then query them
at load time for functionality.
This also implies some revamping of the argument
validation for PQL, like verifying that functions exist
and knowing things about their argument types.
So basically this is an overly intrusive patch, and would
be better as separate patches, but they're hard to detangle.
add trivial execution-time profiling
What if you could ?profile=true on a query and get some
numbers back? That'd be really cool.
We already have tracing/spans, but right now, those only generate
any data if you have something set up for them to trace to. Add a
fancy wrapper that lets us generate our own tracing data, and dump
it into the request response, if ?profile=true.
add a sample extension, add missing features to extension interface
Implement a naive probabilistic filter extension as an example of
what an extension looks like. In the process, discover multiple
omissions in the bitmap API. Well, I did *say* it was experimental.
This commit adds a Decimal field type which is implemented mostly with
the Int field. It adds an optional "Scale" value to the Int field
which means that the values stored in that field are actually meant to
be divided by 10^Scale before being interpreted.
In order to make use of this functionality, we extend the importValue
request to allow a slice of floats rather than just int64. If the
slice of floats is present, each float in the slice is multiplied by
10^Scale and converted to an int64 before being imported. If a slice
of int64 is imported to a Decimal field, it is treated normally, and
scale is ignored. This allows the conversion to be handled at the
client side if desired.
Currently there are Field level methods for querying Float values out
of a decimal field, but no support in PQL or the executor for getting
float values. Going to wait until I can use the generic result type
before doing that, so for now, any values queried will be the scaled
integer values.
needed to add client support for importing float values, and did this
by adding a more general and simplified client method for value
imports.
rewrote api.ImportValue to use the new method which should be more
performant and efficient.
allow floats to be "pilosa import"ed into decimal fields
What if you could ?profile=true on a query and get some
numbers back? That'd be really cool.
We already have tracing/spans, but right now, those only generate
any data if you have something set up for them to trace to. Add a
fancy wrapper that lets us generate our own tracing data, and dump
it into the request response, if ?profile=true.
We track wall-clock execution time, plus possible arbitrary K/V
pairs. Memory stats are not included, because obtaining them is
surprisingly expensive.
