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Merge pull request #5909 from influxdata/pbarnett/update-release-notes-with-cli 

update: add base parameter changes
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Jason Stirnaman 2025-03-19 09:48:41 -05:00 committed by GitHub
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> [!Note]
> #### InfluxDB Core and Enterprise relationship
>
>
> InfluxDB 3 Enterprise is a superset of InfluxDB 3 Core.
> All updates to Core are automatically included in Enterprise.
> The Enterprise sections below only list features exclusive to Enterprise.
## v0.1.0 Beta {date="2025-03-17"}
### Core
#### Features
- **Query and storage enhancements**
- New ability to stream response data for CSV and JSON queries, similar to how JSONL streaming works.
- Parquet files are now cached on the query path, improving performance.
- Query buffer is incrementally cleared when snapshotting, lowering memory spikes.
- **Processing engine improvements**
- New _scheduled_ trigger enables Python plugins to run on a custom, time-defined basis.
- New _request_ trigger enables calling Python plugins via HTTP requests.
- New in-memory cache for storing data temporarily; cached data can be stored for a single trigger or across all triggers.
- Integration with virtual environments and install packages. You can now specify a Python virtual environment via the CLI or `VIRTUAL_ENV` variable and install packages or a `requirements.txt`.
- Python plugins are now implemented through triggers only. Simply create a trigger that references your Python plugin code file directly.
- Snapshots are now persisted in parallel, improving performance by running jobs simultaneously, rather than sequentially.
- Write to logs from within the Processing Engine.
##### Query and storage enhancements
- New ability to stream response data for CSV and JSON queries, similar to how JSONL streaming works
- Parquet files are now cached on the query path, improving performance
- Query buffer is incrementally cleared when snapshotting, lowering memory spikes
- **DB and CLI improvements**
- You can now specify the precision on your timestamps for writes using the `--precision` flag. Includes nano/micro/milli/seconds (ns/us/ms/s).
- Added a new `show` system subcommand to display system tables with different options via SQL (default limit: 100)
- Clearer table creation error messages
##### Processing engine improvements
- New Trigger Types:
- *Scheduled*: Run Python plugins on custom, time-defined basis
- *Request*: Call Python plugins via HTTP requests
- New in-memory cache for storing data temporarily; cached data can be stored for a single trigger or across all triggers
- Integration with virtual environments and install packages:
- Specify Python virtual environment via CLI or `VIRTUAL_ENV` variable
- Install packages or a `requirements.txt`
- Python plugins are now implemented through triggers only. Simply create a trigger that references your Python plugin code file directly
- Snapshots are now persisted in parallel, improving performance by running jobs simultaneously, rather than sequentially
- Write to logs from within the Processing Engine
#### Bug fixes
- If a database was created and the service was killed before any data was written, the database would not be retained.
- A last cache with specific “value” columns could not be queried.
- Running CTRL-C no longer stopped an InfluxDB process, due to a Python trigger.
- A previous build had broken JSON queries for RecordBatches.
- There was an issue with the distinct cache that caused panics.
##### Database and CLI improvements
- You can now specify the precision on your timestamps for writes using the `--precision` flag. Includes nano/micro/milli/seconds (ns/us/ms/s)
- Added a new `show` system subcommand to display system tables with different options via SQL (default limit: 100)
- Clearer table creation error messages
### Enterprise
#### Features
- **Cluster management**
- Nodes are now associated with _clusters_, simplifying compaction, read replication, and rocessing.
- Node specs are now available for simpler management of cache creations.
- **Mode types**
- Ingest, query, compaction, and processing engine can now all be set individually per node.
##### Bug fixes
- If a database was created and the service was killed before any data was written, the database would not be retained
- A last cache with specific "value" columns could not be queried
- Running CTRL-C no longer stopped an InfluxDB process, due to a Python trigger
- A previous build had broken JSON queries for RecordBatches
- There was an issue with the distinct cache that caused panics
#### Parameter changes
For Core and Enterprise, there are parameter changes for simplicity:
| Old Parameter | New Parameter |
|---------------|---------------|
| `--writer-id`<br>`--host-id` | `--node-id` |
### Enterprise features
#### Cluster management
- Nodes are now associated with _clusters_, simplifying compaction, read replication, and processing
- Node specs are now available for simpler management of cache creations
#### Mode types
- Set `ingest`, `query`, `compact`, and `process` individually per node
### Enterprise parameter changes
For Enterprise, additional parameters for the `serve` command have been consolidated for simplicity:
| Old Parameter | New Parameter |
|---------------|---------------|
| `--read-from-node-ids`<br>`--compact-from-node-ids` | `--cluster-id` |
| `--run-compactions`<br>`--mode=compactor` | `--mode=compact`<br>`--mode=compact` |
In addition to the above changes, `--cluster-id` is now a required parameter for all new instances.