Expose the Table and Namespace IDs encoded within the serialised DML
write (added in #6036).
This makes the IDs available for use in the consumers, ending the
transition period. This commit DOES NOT remove the strings sent over the
wire.
Changes the DmlDelete to contain the NamespaceId for which it should be
applied, propagating this value over the wire.
Like the existing IDs within the DmlWrite, these values are marked
unsafe to use due to avoid the consumers utilising them accidentally
during deployment. Unlike DmlWrite, the DmlDelete is completely unused,
so this is less of an issue.
This commit is part of a two-part change in order to add the table &
namespace IDs to the write buffer wire format. This commit forms the
first half; changing the producer to send the IDs.
In this commit the new ID values are never read on the consumer side,
ensuring there is no consumer dependency on them. This ensures they
remain operational during a rollout, where the consumer may be updated
to the latest code dependent on the IDs before the producer is updated
to send them. This also ensures we have a window of time where where the
consumers can be rolled back after being updated, and still handle
replaying messages in Kafka.
Changes the DmlWrite type to require a PartitionKey be specified,
instead of accepting an Option.
This requirement was already in place - the write buffer upheld an
invariant that all writes contained a partition key value (was not
"None") or it panicked at runtime when attempting to enqueue the write.
It is now possible to encode this invariant in the type system, which is
what this change does.
Reduce the precision of timestamps in tests before comparing the DML
metadata objects.
This allows tests to accept different timestamp precisions, such as when
ops pass "through" Kafka vs. files, etc.
* test: add test for timestamps in kafka write buffer
* refactor: move timestamp batching test to generic tests
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
Changes the kafka message wire format to include the partition key for
serialised DML writes on the wire.
After this commit, the kafka messages will contain the partition key for
each op, but this information will go unused in the ingester - this
enables us to roll out the producer side, before making the value's
presence necessary on the consumer side.
A follow-up PR will change the ingester to utilise this embedded
partition key.
This has the unfortunate side effect of making the partition key part of
the public gRPC write API:
https://github.com/influxdata/influxdb_iox/issues/4866
These were found by iterating over all of the dependencies of each
Cargo.toml, then grepping that crate for the dependency's name. If it
didn't show up, I attempted to remove it.
I left a few dependencies that this process flagged:
* generated_types
- `pbjson`,`serde`. Apparently used by the generated code.
* grpc-router-test-gen
- `prost`. Apparently used by the generated code.
* influxdb_iox
- `heappy`. Doesn't appear used, but is behind enough feature
flags that I don't care to reason about and it's already optional.
- `tikv_jemalloc_sys`. Appears to be setting a feature flag of an
indirect dependency.
* iox_gitops_adapter
- `k8s_openapi`. Appears to be setting a feature flag of an indirect
dependency.
This adds the scaffolding for the ingester server to consume data from Kafka. This ingests data in an in memory structure while creating records in the catalog for any partitions that don't yet exist.
I've removed catalog_update.rs in ingester for now. That was mostly a placeholder and will be going in a combination of handler.rs and data.rs on my next PR which will have some primitive lifecycle wired up.
There's one ugly bit here where the DML write is cloned because it's getting borrowed to output spans and metrics. I'll need to follow up with a refactor to make it so that the DML write's tables can be consumed without it gumming up the metrics stuff.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* feat: Add db_name/namespace to DmlWrite and DmlDelete
This is required for the new ingester to be able to work with the write buffer. The protobuf that gets serialized over Kafka already includes the database name, it just wasn't getting carried through to the marshaled Dml operation.
* fix: database != namespace, propagation through write buffer
Co-authored-by: Marco Neumann <marco@crepererum.net>
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
This will be helpful when we want to batch DML operations in memory
(e.g. when using RSKafka).
This also ensures that `MBChunk` accounts for the column names that
are stored within `MutableBatch`.
Defines the DmlHandler trait responsible for processing a request in
some abstract way, decoupling the HTTP/gRPC request handlers from the
underlying routing logic.
- for file-based write buffers: Use headers + payload
- for Kafka-based write buffers: Use the estimation that we also use for
other metrics
- as a side effect we can now just use `PartialEq` for more types
Fixes#3186.
Move sharding implementation from router to `dml` (where the types can
be consumed w/o cloning the data) and only support the new sharding
configs.
The old sharding configs will be removed soon.
Dom Dwyer
Andrew Lamb
Carol (Nichols || Goulding)
Andrew Lamb
Jake Goulding
dependabot[bot]
二手掉包工程师
Marco Neumann
Paul Dix
Raphael Taylor-Davies