* fix: Adjust fields of IngesterQueryResponse
* feat: Adjust IngestHandler query method to call prepare_data_to_querier
* feat: Send ingest query result data back through Flight doGet
* feat: Send delete predicates and max sequencer number in metadata
* fix: greater_than_sequence_number should be of type SequenceNumber
* fix: Remove DeletePredicates from IngesterQueryResponse
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* feat: Add a way to run ingester with an in-memory catalog from the CLI
If you set the --catalog-dsn string to "mem", rather than using that as
a Postgres connection URL, create an in-memory catalog.
Planning on using this in tests, so not documenting.
* fix: Set default topic to the same value as SHARED_KAFKA_TOPIC
Namely, both should use an underscore. I don't think there's a way to
directly share these values between a constant and an annotation.
* feat: Add a flight API (handshake only) to ingester
* fix: Create partitions if using file-based write buffer
* fix: Change the server fixture to handle ingester server type
For now, the ingester doesn't implement the deployment API. Not sure if
it should or not.
* feat: Start implementing ingester do_get, namely decoding the query
Skip serialization of the predicate for the moment.
* refactor: Rename ingest protos to ingester to match crate name
* refactor: Rename QueryResults to QueryData
* feat: Move ingester flight client to new querier crate
* fix: Off by one error, different starting indexes in sequencers
* fix: Create new CLI argument to pick the catalog type
* fix: Create a CLI option to set the number of topics to auto-create in the write buffer
* fix: Check the arrow flight service's health to tell that the ingester gRPC is up
* fix: Set postgres as the default catalog type
* fix: Return an error rather than panicking if CLI args aren't right
This adds the lifecycle manager to the ingester. It will trigger based on a threshold for max partition size or age or based on keeping total memory under a certain threshold.
It defines a new interface for a persister, which is stubbed out for IngesterData. I'm not sure yet how persistence errors should be handled. The assumption here is that the persister continues to retry persistence forever until it succeeds.
There is one scenario I can think of that may cause this lifecycle manager problems. If a single partition is very high throughput, it could cause things to back up as persistence is not parallelized within a single partition. Any given partition can currently only run one persistence operation at a time. We can address this later.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
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: Implement a snapshot method on DataBuffer
Fixes#3510.
* test: Add a test snapshotting batches with different but compatible schemas
* fix: Simplify min/max sequencer number collection
The first batch should always have the min sequencer number. The last
batch should always have the max sequencer number. The min should always
be less than (or equal to, in case there's only one batch) the max.