We want to distinguish different *kinds* of GroupCounts, so we're
making the GroupCounts parent object track its type so we can keep that
correct.
Adding this to protobuf, etc, then creates some weird behaviors
because sometimes we expect []GroupCount, and sometimes we expect
*GroupCounts. This implies changes to test cases. Also, the
changes to test cases imply that some test cases are probably now
wrong; for instance, they're expecting a "sum" column, equal to zero,
when no sum was requested.
We try to make the encoder handle a []*GroupCount gotten from another
node without panicing, and avoid breaking the semantics of the existing
messages, renumbering messages or components, etc.
Since a previous version, the `.Groups` member has been privatized,
and the `.Get()` convenience accessor has been renamed `.Groups()`
and is now used consistently in a way that should reduce the risk
of nil pointers causing crashes. Also, NewGroupCounts is used in
a couple more places.
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)
This commit changes executeDistinct to return either a *Row or a
SignedRow (instead of only being able to return a SignedRow). Distinct
on a set field will return a *Row while an int field will still return
a signed row.
We then add Field and Index fields to the Row object so that we can
determine how to translate the rows IDs to keys (if needed). This adds
a lot of logic around the translation which fixes bugs where Distinct
calls would fail to get translated.
There are, I think, still issues if you were to try to join a keyed
field to a keyed index which wasn't explicitly specified as the
field's foreign index. The IDs in the field wouldn't be using the same
translation as the IDs in the index, so the query might appear to work
but give incorrect results.
- introduce Query Context (Qcx) for managing database-per-shard.
- replaces the MultiTx, so mtx.go is retired and removed.
- introduces the HolderConfig struct and all Holders now have
a path from birth.
- rbf speedups on bitwise writes
- badgerdb is removed due to unresolvable write conflicts.
fixes#703#676
- Atomic record contains multiple ImportRequest and
ImportValueRequest, plus ability to Clear individual requests.
- adds http handlers for importing AtomicRecord.
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 involved adding an optional float value to the ValCount struct
which complicated result types, necessitated grpc changes, and needed
quite a few tests at different layers.
I ran:
brew upgrade protobuf
GO111MODULE=off go get -u github.com/gogo/protobuf/protoc-gen-gofast
I'm not sure if everything is still going to work, but I'm excited to
find out!
This PR adds a field name (string) to the return types
which represent the values from a specific field. For example,
a TopN query on field `x` would be `TopN(x)` and have results
like:
```
[]Pair{
{ID: 14, Count: 10},
{ID: 3, Count: 8},
{ID: 7, Count: 3},
}
```
In order to know what field this result type refers to, we wrap
`[]Pair` in a new struct called `PairsField` which contains an
addition `Field` string where `x` is stored.
This is useful for informing the gRPC server how to construct
more appropriate headers for the result stream (in this case,
the column headers can now be "x" and "count").
Similar logic was applied to `RowIdentifiers` and `Pair` as well.
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
This PR adds the ability to import field values into RangeEnabled frames
using the `pilosa import` command.
Example:
```
pilosa import -i i -f f --field foo sample-vals.csv
```
imports data from sample-vals.csv, which contains data in the format:
```
[ColumnID, Value]
```
Also fixes a bug where `frame.rangeEnabled` was not being set on frame creation.
