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RELEASE_NOTES.md

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# Apache IoTDB 2.0.1-beta
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## Features & Improvements
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- Table Model: IoTDB has introduced a new model named table model, and supports standard SQL query syntax, including SELECT, WHERE, JOIN, GROUP BY, ORDER BY, LIMIT clause and subQuery.
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- Data Query: The table model supports a variety of functions and operators, including logical operators, mathematical functions, and the time-series specific function DIFF, etc.
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- Data Query: The databases of the table model and tree model are invisible to each other, and users can choose the appropriate model based on their needs.
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- Data Query: Users can control the loading of UDF, PipePlugin, Trigger, and AINode via URI with configuration items to load JAR packages.
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- Storage Engine: The table model supports data ingestion through the Session interface, and the Session interface supports automatic metadata creation.
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- Storage Engine: The Python client now supports four new data types: String, Blob, Date, and Timestamp.
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- Storage Engine: The comparison rules for the priority of same-type merge tasks have been optimized.
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- Data Synchronization: Support for specifying authentication information of the receiving end at the sending end.
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- Stream Processing Module: TsFile Load now supports the table model.
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- Stream Processing Module: Pipe now supports the table model.
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- System Management: The Benchmark tool has been adapted to support the table model.
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- System Management: The Benchmark tool now supports four new data types: String, Blob, Date, and Timestamp.
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- System Management: The stability of DataNode scaling down has been enhanced.
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- System Management: Users are now allowed to perform drop database operations in readonly mode.
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- Scripts and Tools: The import-data/export-data scripts have been extended to support new data types (string, binary large objects, date, timestamp).
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- Scripts and Tools: The import-data/export-data scripts have been iterated to support the import and export of three types of data: TsFile, CSV, and SQL.
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- Ecosystem Integration: Support for Kubernetes Operator.
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## Bugs
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- Fixed the issue where the query result set contained duplicate timestamps.
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- Fixed the issue where deleted data could be queried again when triggered to merge after deletion.
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- Fixed the issue where the target sequence in SELECT INTO containing backticks would result in writing the wrong sequence.
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- Fixed the issue where an array out-of-bounds exception was thrown in the HAVING clause of the tree model due to a non-existent column name.
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- Fixed the issue where MergeReader needed to consider memory allocation to avoid negative available memory during out-of-order and reverse queries.
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- Fixed the issue where the CN in the cluster could not register large pipe plugins (greater than 100MB) and the parameters were not configurable.
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- Fixed the issue of controlling the memory size of TimeIndex referenced by Pipe for TsFileResource.
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- Fixed the issue where the Storage Engine - File Count - mods displayed negative values on the monitoring dashboard.
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- Fixed the issue where the query result order was incorrect in the C# client.
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# Apache IoTDB 1.3.3
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## Features & Improvements

iotdb-client/jdbc/src/main/feature/feature.xml

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<features xmlns="http://karaf.apache.org/xmlns/features/v1.5.0" name="driver-s7-feature">
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<feature name="iotdb-feature" description="iotdb-feature" version="1.3.3">
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<feature name="iotdb-feature" description="iotdb-feature" version="2.0.1-beta">
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<details>Feature to install required Bundle to use IoTDB inside Karaf container</details>
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<feature prerequisite="true">wrap</feature>
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<feature>scr</feature>

iotdb-core/ainode/pyproject.toml

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[tool.poetry]
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name = "apache-iotdb-ainode"
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version = "2.0.0.dev"
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version = "2.0.1-beta"
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description = "Apache IoTDB AINode"
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readme = "README.md"
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authors = ["Apache Software Foundation <[email protected]>"]
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hmmlearn = "^0.3.0"
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[tool.poetry.scripts]
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ainode = "iotdb.ainode.script:main"
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ainode = "iotdb.ainode.script:main"

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