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Merge pull request #5899 from influxdata/jts/fix-release-notes
Core and Enterprise release notes fixes and cleanup
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---
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title: InfluxDB 3 Core Release Notes
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title: InfluxDB 3 Core release notes
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description: >
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Changes and updates to InfluxDB 3 Core
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menu:
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influxdb3_core:
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parent: Reference
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name: Release Notes
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weight: 21
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weight: 210
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related:
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- /influxdb3/core/get-started/
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source: /shared/v3-core-enterprise-release-notes/_index.md
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The content of this file is located at /shared/v3-core-enterprise-release-notes/_index.md
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title: InfluxDB 3 Enterprise Release Notes
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title: InfluxDB 3 Enterprise release notes
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description: >
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Changes and updates to InfluxDB 3 Enterprise
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menu:
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influxdb3_enterprise:
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parent: Reference
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name: Release Notes
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weight: 21
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weight: 210
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- /influxdb/enterprise/get-started/
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- /influxdb3/enterprise/get-started/
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source: /shared/v3-core-enterprise-release-notes/_index.md
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> [!Note]
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> InfluxDB 3 Enterprise is a super set of InfluxDB 3 Core. Any updates to Core are also reflected in Enterprise. Only non-Core updates are listed in the Enterprise sections below.
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> [!Note]
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> #### InfluxDB Core and Enterprise relationship
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>
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> InfluxDB 3 Enterprise is a superset of InfluxDB 3 Core.
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> All updates to Core are automatically included in Enterprise.
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> The Enterprise sections below only list features exclusive to Enterprise.
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## v0.1.0 Beta {date="2025-03-17"}
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### Core
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#### Features
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- **Query & Storage Enhancements**
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- New ability to stream data back for CSV and JSON queries, similar to how JSONL streaming works.
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- **Query and storage enhancements**
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- New ability to stream response data for CSV and JSON queries, similar to how JSONL streaming works.
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- Parquet files are now cached on the query path, improving performance.
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- Query buffer is incrementally cleared when snapshotting, lowering memory spikes.
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- **Processing Engine Improvements**
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- New _scheduled_ trigger, enabling Python plugins to run on a custom, time-defined basis.
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- New _request_ trigger, enabling Python plugins to be called via HTTP requests.
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- New in-memory cache for storing data temporarily; this data can be stored for a single trigger or across all triggers.
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- 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.
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- Plugins no longer need to be created as their own entity. Simply creating a trigger and tying it to a Python file is enough.
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- **Processing engine improvements**
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- New _scheduled_ trigger enables Python plugins to run on a custom, time-defined basis.
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- New _request_ trigger enables calling Python plugins via HTTP requests.
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- New in-memory cache for storing data temporarily; cached data can be stored for a single trigger or across all triggers.
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- 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`.
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- Python plugins are now implemented through triggers only. Simply create a trigger that references your Python plugin code file directly.
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- Snapshots are now persisted in parallel, improving performance by running jobs simultaneously, rather than sequentially.
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- You can now leverage logging from within the Processing Engine.
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- Write to logs from within the Processing Engine.
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- **DB and CLI Improvements**
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- **DB and CLI improvements**
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- You can now specify the precision on your timestamps for writes using the `--precision` flag. Includes nano/micro/milli/seconds (ns/us/ms/s).
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- Added a new `show` system subcommand to display system tables with different options via SQL (default limit: 100)
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- Clearer table creation error messages
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#### Bug Fixes
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#### Bug fixes
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- If a database was created and the service was killed before any data was written, the database would not be retained.
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- A last cache with specific “value” columns could not be queried.
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- Running CTRL-C no longer stopped an InfluxDB process, due to a Python trigger.
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- A previous build had broken JSON queries for RecordBatches.
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- There was an issue with the distinct cache that caused panics.
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### Enterprise
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#### Features
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- **Cluster Management**
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- Nodes are now tied to clusters simplifying compaction, read replication, processing, and more.
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- **Cluster management**
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- Nodes are now associated with _clusters_, simplifying compaction, read replication, and rocessing.
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- Node specs are now available for simpler management of cache creations.
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- **Mode Types**
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- Ingest, query, compaction, and processing engine can now all be set individually per node.
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- **Mode types**
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- Ingest, query, compaction, and processing engine can now all be set individually per node.

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